Resource Type: Research Briefs & Reports

Brief: Washington: Sugar-Sweetened Beverage (SSB) Tax: Researching an Intervention to Create the Healthiest Next Generation

The information in this brief is intended for educational use only.

This brief provides a summary of the CHOICES Learning Collaborative Partnership simulation model of a $0.02-per-ounce state excise tax on sugar-sweetened beverages (SSB). The tax, which would be administered by the Washington State Department of Revenue (DOR), aims to reduce consumption of calorie-dense, nutrient-poor beverages.

The Issue

Although SSB consumption has declined in recent years, children and adults in the United States consume twice as many calories from SSBs compared to 30 years ago.1 – 3 Research has linked SSB consumption to excess weight gain, diabetes, and cardiovascular disease. SSB consumption may increase the risk of developing chronic diseases via effects on body mass index (BMI) and other mechanisms.4-5 The Dietary Guidelines for Americans, 2015,6 recommends reduced SSB intake to help manage body weight. Drawing upon the success of tobacco taxation and decades of economic research, public health experts have called for higher taxes on unhealthy foods and beverages.7-10 In 2009, the Institute of Medicine recommended that local governments implement tax strategies to reduce consumption of “calorie-dense, nutrient-poor foods,” emphasizing SSBs as an appropriate target for taxation.11

About the SSB Tax

In this model, the state excise tax would apply to bottlers and distributors and be passed on directly to consumers in full as part of the price of the product. The tax would apply to all beverages with added caloric sweeteners but not to 100 percent juices, milk products, or artificially sweetened beverages. The $0.02-per-ounce excise tax would increase SSB prices in the state of Washington by 24.4 percent. Implementation would require the state DOR to communicate the tax to bottlers and process tax statements; it would require businesses to prepare tax statements for state audits using private tax accountants.

Comparing Costs and Outcomes

CHOICES cost-effectiveness analysis compared the costs and outcomes of the SSB excise tax over 10 years with costs and outcomes associated with not implementing the tax.

Implementing a state $0.02-per-ounce sweetened beverage tax in Washington is an investment in the future. By the end of 2025:
Chart summarizing the conclusions and implications of the brief

Conclusions and Implications

According to this model analysis, a $0.02-per-ounce sweetened beverage tax on SSBs in Washington would reach all residents of the state and prevent 8,380 cases of childhood obesity and 43,300 cases of adult obesity in 2025. The tax would also prevent deaths while reducing future health care costs. Lower tax rates such as $0.01 or $0.005 per ounce would have less of an impact on health and health care cost savings.

In other locations that have looked at this issue, there are concerns about the impact of the tax on low-income households. This analysis indicates that households will spend less on SSBs after the tax takes effect, therefore increasing income for other purchases. In addition, greater health benefits will accrue to low-income consumers, who on average consume more SSBs than higher-income consumers. The same is true for certain racial and ethnic groups. Thus, disparities in obesity outcomes should decline following implementation of the proposed tax. In addition, revenue from the SSB tax could be reinvested in low-income communities.

References

  1. Wang YC, Bleich SN, and Gortmaker SL. Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among US children and adolescents, 1988–2004. Pediatrics. 2008;121(6):e1604-e1614.
  2. Nielsen SJ and Popkin BM. Changes in beverage intake between 1977 and 2001. Am J Prev Med. 2004; 27(3):205-210.
  3. Bleich, SN, Wang YC, Wang Y, Gortmaker, SL. Increasing consumption of sugar-sweetened beverages among US adults: 1988–1994 to 1999—2004. Am J Clin Nutr. 2008; 26883
  4. Malik VS, Pan A, Willett WC, Hu FB. Sugar-sweetened beverages and weight gain in children and adults: a systematic review and meta-analysis. Am J Clin Nutr. 2013;98(4):1084-1102.
  5. Chen L, Caballero B, Mitchel DC, Loria C, et al. Reducing consumption of sugar-sweetened beverages is associated with reduced blood pressure a prospective study among United States adults. Circulation. 2010;121(22):2398-2406
  6. U.S. Department of Health and Human Services and U.S. Department of Agriculture. 2015 – 2020 Dietary Guidelines for Americans. 8th Edition. December 2015. Available at http://health.gov/dietaryguidelines/2015/guidelines/.
  7. Chaloupka FJ, Powell LM, Chriqui JF. Sugar-sweetened beverage taxes and public health: A Research Brief. Minneapolis, MN: Robert Wood Johnson Foundation, Healthy Eating Research, 2009.
  8. Brownell KD, Farley T, Willett WV, et al. The public health and economic benefits of taxing sugar-sweetened beverages. New Engl J Med. 2009;361(16):1599-1605.
  9. Long MW, Gortmaker SL, Ward ZJ, Resch SC, Moodie ML, Sacks G, Swinburn BA, Carter RC, Claire Wang Y. Cost Effectiveness of a Sugar-Sweetened Beverage Excise Tax in the U.S. Am J Prev Med. 2015 Jul;49(1):112-23.
  10. Gortmaker SL, Wang YC, Long MW, Giles CM, Ward ZJ, Barrett JL, Kenney EL, Sonneville KR, Afzal AS, Resch SC, Cradock AL. Three Interventions That Reduce Childhood Obesity Are Projected To Save More Than They Cost To Implement. Health Aff (Millwood). 2015 Nov 1;34(11):1932-9.
  11. Institute of Medicine. Local Government Actions to Prevent Childhood Obesity, 2009. National Academies Press: Washington, DC.
Suggested Citation:

Cradock AL, Gortmaker SL, Pipito A, Kenney EL, Giles CM. Washington: Sugar-Sweetened Beverage (SSB) Tax: Researching an Intervention to Create the Healthiest Next Generation [Issue Brief]. Washington State Department of Health, Olympia, WA, and the CHOICES Learning Collaborative Partnership at the Harvard T.H. Chan School of Public Health, Boston, MA; October 2017.

The design for this brief and its graphics were developed by Molly Garrone, MA and partners at Burness.

This issue brief was developed at the Harvard T.H. Chan School of Public Health in collaboration with the Washington State Department of Health through participation in the Childhood Obesity Intervention Cost-Effectiveness Study (CHOICES) Learning Collaborative Partnership. This brief is intended for educational use only. Funded by The JPB Foundation. Results are those of the authors and not the funders. For more information, please visit: http://www.doh.wa.gov/CommunityandEnvironment/HealthiestNextGeneration/CHOICES

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Brief: Incorporating Screen Time into the Special Supplemental Nutrition Program for Women, Infants and Children (WIC) Modified Value Enhanced Nutrition Assessment (VENA) in Oklahoma

The information in this brief is intended for educational use only.

This brief provides a summary of a CHOICES Learning Collaborative Partnership simulation model of incorporating opportunity for screen time counseling in Oklahoma’s WIC Program by training WIC staff to assess and offer motivational interviewing counseling to WIC participants on strategies for modifying screen time behaviors.

The Issue

Over the past three decades, more people have developed obesity.1 Now labeled an epidemic, health care costs for treating obesity-related health conditions like heart disease and diabetes were $147 billion in 2008.2 While multiple strategies are needed to reverse the epidemic, emerging prevention strategies directed at children show great promise.3 A large body of evidence shows limiting screen time like non-educational television helps kids grow up at a healthy weight. The more TV children watch, the more they overeat or eat unhealthy foods and drinks that are advertised, leading to excess weight gain. The American Academy of Pediatrics recommends children ages 2-54 get a maximum of 1 hour screen media daily, half what they currently get5; the Guide to Preventive Services recommends implementing strategies to reduce screen time to prevent childhood obesity.6

WIC provides food benefits to low-income children and is the only federal nutrition assistance program required by law to provide nutrition education to participants. In Oklahoma, 26.5% of 2-4 year olds participate in WIC; nearly 15% of these children have obesity.7 The WIC Program offers an opportunity to provide education and support for families to adopt healther screen time habits.

About the Policy and Training to Help Families Participating in WIC Reduce Screen Time

The intervention incorporates screen time counseling into required WIC certification visits through the inclusion of relevant assessment items within the existing screening assessment tools regularly used by WIC clinical staff. Oklahoma’s WIC office participates in VENA, which establishes standards for the assessment process used to determine WIC eligibility and to personalize nutrition education, referrals and food package tailoring. The intervention modeled includes training for WIC staff who provide motivational interviewing and counsel to WIC participants. The training, offered by the state Department of Health WIC Services office, would include strategies for providing participants with guidance for modifying screen time behaviors.

Comparing Costs and Outcomes

CHOICES cost-effectiveness analysis compared the costs and outcomes of integrating screen time questions and counseling into the standard OK WIC practices over 10 years with costs and outcomes associated with not implementing this initiative. The approach assumes all WIC clinics in Oklahoma would integrate screen time questions into VENA and provide counseling to those families who select it as a target.

Implementing screen time counseling in WIC is an investment in the future.
By the end of 2025:
Chart summarizing the conclusions and implications of the brief

Conclusions and Implications

Every child deserves a healthy start in life. This includes ensuring all kids have opportunities to be healthy. A state-level initiative to provide screen time counseling to families participating in WIC could prevent 660 cases of childhood obesity in Oklahoma in 2025 and ensure healthy screen time habits for over 149,000 children.

For every $1 spent on implementing this screen time strategy, $20.90 would be saved in health care costs.The results reinforce the importance of investing in prevention efforts, relative to other treatment interventions, to reduce the prevalence of obesity. Shortchanging prevention efforts can lead to costlier and complicated treatment options in the future, whereas introducing small changes to young children can help them develop healthy habits for life.

Evidence is growing about how to help children achieve a healthy weight. Programs to reduce screen time are laying the foundation for a healthier future by helping families create environments that nurture healthy habits. Leaders at the federal, state, and local level should use the best available evidence to determine which evidence-based programs and policies hold the most promise to help children grow up at a healthy weight.

References

  1. Flegal KM, Kruszon-Moran D, Carroll MD, Fryar CD, Ogden CL. Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA. 2016 Jun 7;315(21):2284-91.
  2. Finkelstein EA, Trogdon JG, Cohen JW, Dietz W. Annual Medical Spending Attributable To Obesity: Payer-And Service-Specific Estimates. Health Affairs. 2009;28(5).
  3. Gortmaker SL, Wang YC, Long MW, Giles CM, Ward ZJ, Barrett JL, Kenney EL, Sonneville KR, Afzal AS, Resch SC, Cradock AL. Three interventions that reduce childhood obesity are projected to save more than they cost to implement. Health Aff (Millwood). 2015 Nov;34(11):1932-9.
  4. American Academy of Pediatrics. (2011). Media Use by Children Younger Than 2 Years. Pediatrics, 128(5), 1040-1045. http://pediatrics.aappublications.org/content/128/5/1040
  5. Common Sense Media. (2013). Zero to Eight: Children’s Media Use in America 2013. www.commonsensemedia.org/research/zero-to-eight-childrens-media-use-in-america-2013
  6. Buchanan, L. R. et al. (2016). Reducing Recreational Sedentary Screen Time: A Community Guide Systematic Review. Am J Prev Med, 50(3), 402-415. https://www.thecommunityguide.org/sites/default/files/publications/obesity-AJPM-evrev-behavioral_0.pdf
  7. Communication with Oklahoma State Department of Health: WIC Service. (2017).
Suggested Citation:

Bryce T, Kenney EL, Giles CM, Flax CF, Gortmaker SL, Ward ZJ, Cradock AL. Oklahoma: Incorporating Screen Time into the Special Supplemental Nutrition Program for Women, Infants and Children (WIC) Modified Value, Enhanced, Nutrition Assessment (VENA) [Issue Brief]. Oklahoma State Department of Health, Oklahoma City, OK, and the CHOICES Learning Collaborative Partnership at the Harvard T.H. Chan School of Public Health, Boston, MA; August, 2017.

The design for this brief and its graphics were developed by Molly Garrone, MA and partners at Burness.

This issue brief was developed by the Oklahoma State Department of Health through participation in the Childhood Obesity Intervention Cost-Effectiveness Study (CHOICES) Learning Collaborative Partnership at the Harvard T.H. Chan School of Public Health. This brief is intended for educational use only. Funded by The JPB Foundation. Results are those of the authors and not the funders. 

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Brief: Cost-Effectiveness of a Sugar-Sweetened Beverage Tax in Seattle, WA

UPDATE: On June 5, 2017, the Seattle City Council approved a new tax on soda and other sugary beverages (excluding diet drinks) of 1.75 cents per ounce as way to raise millions for healthy food and education programs. The measure passed on a 7-1 vote. The updated brief is below.


The information in this brief is intended to provide educational information on the cost-effectiveness of SSB taxes.

Intervention Strategy Description

Implementation of a city excise tax of $0.0175/ounce of sugar‐sweetened beverages (SSBs), administered by the city department of revenue and based on proposals considered by federal, state, and local governments.1‐4

Background 

Summary Results for Sugar-Sweetened Beverage Tax in Seattle, WA
SSBs include all beverages with added caloric sweeteners. The modeled excise tax does not apply to 100% juice, milk products, or artificially‐sweetened beverages. Although SSB consumption has declined in recent years, children and adults in the U.S. consume twice as many calories from SSBs compared to 30 years ago.5‐7 Randomized trials and longitudinal studies have linked SSB consumption to excess weight gain, diabetes, and cardiovascular disease. Consumption of SSBs increases the risk of chronic diseases through its impact on BMI and other mechanisms.8,9 The Dietary Guidelines for Americans, 201510 recommends that individuals reduce SSB intake in order to manage their body weight. Drawing on the success of tobacco taxation and decades of economic research, public health experts have called for higher taxes on SSBs and documented their likely impact.11‐14 In 2009, the IOM recommended that local governments implement tax strategies to reduce consumption of “caloriedense, nutrient‐poor foods,” emphasizing SSBs as an apt target for taxation.15

Modeling Framework

Increased city excise tax linked to change in BMI through change in SSB price and consumption.

Logic Model for Sugar Sweetened Beverage TaxImpact of Tax on Price to Consumers

We assume 100% pass through of the tax over the ten years. Empirical studies in Mexico and France indicate that approximately the full amount of the excise tax is passed on to consumers. 16 Short term studies for the local tax in Berkeley indicate less than complete pass‐through.3,17,18 The expected percent increase in SSB price was estimated based on the average $0.059/ounce reported in a review of beverage demand elasticity (inflated to $0.0612 in 2014 dollars).19 The price per ounce in this study was based on a weighted average across stores, restaurants and other sources proportional to the source of consumed SSBs in NHANES 2009‐2010. The price per ounce of SSBs purchased in stores was calculated using weighted averages of two‐liter bottles, 12‐can cases, and single‐serve bottles or cans based on the distribution of package sizes estimated from 2010 Nielsen Homescan data. The $0.0175/ounce excise tax would result in a 21.5% price increase. We assumed that the tax rate would be adjusted annually for inflation to maintain the 21.5% price increase throughout the ten‐year modeling time frame.

SSB Consumption and Price Elasticity of Demand

We used regionally‐adjusted estimates of total SSB consumption in 2015 published in the UCONN Rudd Center Revenue Calculator for Sugar‐Sweetened Beverage Taxes to adjust national age, sex, and race/ethnicity‐specific consumption data from NHANES 2005‐2010 to estimate current SSB consumption levels in Seattle, WA.20 Powell et al reviewed studies published 2007‐2012 and estimated a mean own‐price elasticity of demand for SSBs weighted by SSB category consumption shares of ‐1.21, ranging from ‐3.87 to ‐0.69. 21 Recent research concerning the Berkeley tax indicates a 21% reduction in SSB intake among low income populations. 17

Direct effect of change in SSB consumption on change in BMI

We conducted evidence reviews for impact of change in SSB intake on BMI, taking into account any dietary compensation.14 Four large longitudinal studies in adults22‐25 of sufficient duration were identified. The relationship was modeled using a uniform distribution based on the range of the estimates of the effect of a one serving reduction on BMI (from 0.21 to 0.57). Among youth, a double‐blind randomized controlled trial conducted over 18 months found that an additional 8 oz serving of SSBs led to a 1 kg greater weight gain.26

Reach

The intervention reaches all youth and adults ages 2 years and older in Seattle, WA.

Costs

The policy change will involve start up and ongoing labor costs for municipal tax department administrators. To implement the intervention, the municipal government will need to process tax statements and conduct audits. Businesses will also need to prepare tax statements and participate in audits, which will require labor from private tax accountants. The cost of implementation in this Seattle model assumes the city will administer the tax themselves and the activities and resources will mirror estimates from the state of WA from a previously planned (but not implemented) excise tax on soft drinks.14 Cost of tax implementation will vary between locations; the city of Berkeley for example has contracted with a third party to administer the tax at 2% of the annual revenue. 27 The cost and benefit estimates do not include expected tax revenue.

CHOICES Microsimulation Model

The CHOICES microsimulation model for Seattle, WA was used to calculate the costs and effectiveness over ten years (2015–25). This is a stochastic, discrete‐time, individual‐level microsimulation model designed to simulate the experience of the Seattle, WA population from 2015 to 2025. Cases of obesity prevented were calculated at the end of the model in 2025. The model uses data from: US Census, American Community Survey, Behavioral Risk Factor Surveillance System28, NHANES, National Survey of Children’s Health29, the Medical Expenditure Panel Survey, and multiple national longitudinal studies. We calculated uncertainty intervals using Monte Carlo simulations programmed in Java over one thousand iterations of the model for a population of simulated individuals representing the city population size.14

Impact on Diabetes

We estimated the impact of the tax‐induced reduction in SSB intake on diabetes incidence for adults ages 18‐79 years using a published meta‐analysis of the relative risk of developing diabetes due to a one‐serving change in SSB consumption30 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Seattle, WA, we estimated that the proposed SSB excise tax would lead to a 5% reduction in diabetes incidence – an estimated 130 cases of diabetes prevented – over a one‐year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

Based on calculations modeled from the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes,20 we estimate a $0.0175/ounce excise tax in Seattle could raise approximately $24.7 million each year. This revenue estimate only includes sugar sweetened beverages, not diet beverages. Since diet beverages are consumed by adults at roughly half the rate of sugar sweetened beverages, the tax revenue will also be higher due to these consumption patterns.

Results

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 1,250 (356; 3,470)
Reach
First Year Population Reach* 612,000
Effect
Decrease in 12-oz Servings of SSBs per Person in the First Year* 75.0 (42.4; 165)
Cases of Obesity Prevented* 4,160 (1,220; 11,500)
Years with Obesity Prevented 28,300 (8,230; 78,700)
Life Years Gained 320 (80; 905)
Deaths Averted* 96 (25; 270)
Cost
Annual Intervention Cost $61,500 ($61,500; $61,500)
Net Cost (negative means savings) -$38.7 mill (-$109 mill; -$10.8 mill)
Health Care Cost Savings per $1 Invested $64.0 ($18.6; $178)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.

*Not discounted.

Equity and Implementation Considerations

Concerns have been raised regarding the impact of the tax on households with low incomes. Because of the elasticity of ‐1.21, our analyses clearly indicate that households will spend less on SSBs after the tax goes into effect, providing disposable income for other purchases. In addition, we project that greater health benefits will accrue to low‐income consumers who on average consume more SSBs than higher income consumers; the same is true for a number of racial and ethnic groups. Disparities in obesity outcomes should thus decrease following implementation of the proposed tax. In addition, revenue raised from an SSB tax can be reinvested in low income communities; for instance, in Berkeley, CA SSB tax revenue has been allocated for spending on school and community programs, several with a focus on low income or minority populations, to promote healthy eating, diabetes and obesity prevention. 31,32

There is opposition from the beverage industry, which spends over $4 billion/year nationwide on marketing.33 Public support for such taxes generally increases with earmarking for prevention activities.34 Relatively small beverage excise taxes are currently applied across many states. The proposed tax is likely to be sustainable if implemented based on the history of tobacco excise taxes. There is potential for a shift in social norms of SSB consumption based on evidence from tobacco control tax and regulatory efforts.35

Discussion

We project that the proposed SSB excise tax policy will prevent thousands of cases of childhood and adult obesity, prevent new cases of diabetes, increase healthy life years and save more in future health care costs than it costs to implement. Revenue from the tax can be used for education and health promotion efforts. Implementing the tax could also serve as a powerful social signal to reduce sugar consumption.

 

Results prepared by the CHOICES project at the Harvard T.H. Chan School of Public Health: Gortmaker SL, Long MW, Ward ZJ, Giles CM, Barrett JL, Resch SC, Cradock AL. Funded by The JPB Foundation and Healthy Food America. Results are those of the authors and not the funders. For further information: contact cgiles@hsph.harvard.edu. Visit www.ChoicesProject.org

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References

  1. American Public Health Association. Taxes on Sugar-Sweetened Beverages. 2012.
  2. Hakim D and Confessore N. Paterson seeks huge cuts and $1 billion in taxes and fees. The New York Times, Jan 19, 2010.
  3. Falbe J, Rojas N, Grummon AH, Madsen KA. Higher Retail Prices of Sugar-Sweetened Beverages 3 Months After Implementation of an Excise Tax in Berkeley, California. Am J Public Health. 2015 Nov;105(11):2194-201.
  4. Leonhardt D. The battle over taxing soda. The New York Times, May 19, 2010.
  5. Wang YC, Bleich SN, and Gortmaker SL. Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among US children and adolescents, 1988–2004. Pediatrics. 2008;121(6):e1604-e1614.
  6. Bleich SN, Wang YC, Wang Y and Gortmaker SL. Increasing consumption of sugar-sweetened beverages among US adults: 1988–1994 to 1999—2004. Am J Clin Nutr. 2008;89(1):372-381.
  7. Kit BK, Fakhouri TH, Park S, Nielsen SJ, Ogden CL. Trends in sugar-sweetened beverage consumption among youth and adults in the United States: 1999-2010. Am J Clin Nutr. 2013 Jul;98(1):180-8.
  8. Malik VS, Pan A, Willett WC , Hu FB. Sugar-sweetened beverages and weight gain in children and adults: a systematic review and meta-analysis. Am J Clin Nutr. 2013;98(4):1084-1102.
  9. Chen L, Caballero B, Mitchell DC, et al. Reducing consumption of sugar-sweetened beverages is associated with reduced blood pressure a prospective study among United States adults. Circulation. 2010;121(22):2398-2406.
  10. U.S. Department of Health and Human Services and U.S. Department of Agriculture. 2015 – 2020 Dietary Guidelines for Americans. 8th Edition. December 2015. Available at http://health.gov/dietaryguidelines/2015/guidelines/.
  11. Chaloupka FJ, Powell LM, and Chriqui JF. Sugar-sweetened beverage taxes and public health: A Research Brief. Minneapolis, MN: Robert Wood Johnson Foundation, Healthy Eating Research, 2009.
  12. Brownell KD, Farley T, Willett WV, et al. The public health and economic benefits of taxing sugar-sweetened beverages. New Engl J Med. 2009;361(16):1599-1605.
  13. Long MW, Gortmaker SL, Ward ZJ, Resch SC, Moodie ML, Sacks G, Swinburn BA, Carter RC, Claire Wang Y. Cost Effectiveness of a Sugar-Sweetened Beverage Excise Tax in the U.S. Am J Prev Med. 2015 Jul;49(1):112-23.
  14. Gortmaker SL, Wang YC, Long MW, Giles CM, Ward ZJ, Barrett JL, Kenney EL, Sonneville KR, Afzal AS, Resch SC, Cradock AL. Three Interventions That Reduce Childhood Obesity Are Projected To Save More Than They Cost To Implement. Health Aff (Millwood). 2015 Nov 1;34(11):1932-9.
  15. Institute of Medicine. Local Government Actions to Prevent Childhood Obesity, 2009. National Academies Press: Washington, DC.
  16. Colchero MA, Salgado JC, Unar-Munguía M, Molina M, Ng S, Rivera-Dommarco JA. Changes in Prices After an Excise Tax to Sweetened Sugar Beverages Was Implemented in Mexico: Evidence from Urban Areas. PLoS ONE. 2015;10(12): e0144408.
  17. Falbe J, Thompson HR, Becker CM, Rojas N, McCulloch CE, Madsen KA. Impact of the Berkeley Excise Tax on Sugar-Sweetened Beverage Consumption. Am J Public Health. 2016 Aug 23:e1-e7.
  18. Ng SW, Silver L, Ryan-Ibarra S, Induni M, Hamma C, Poti J , Popkin B. Berkeley Evaluation of Soda Tax (BEST) Study Preliminary Findings. Presentation at the annual meeting of the American Public Health Association, Chicago, IL, November
  19. Powell LM, Isgor z, Rimkus L, Chaloupka FJ. Sugar-sweetened beverage prices: Estimates from a national sample of food outlets. Chicago, IL: Bridging the Gap Program, Health Policy Center, Institute for Health Research and Policy, University of Illinois at Chicago, 2014. Available at: http://www.bridgingthegapresearch.org/_asset/ww9rpz/btg_SSB_price_brief_FINAL_Jan_2014.pdf.
  20. UCONN Rudd Center. Revenue Calculator for Sugar-Sweetened Beverage Taxes. Jan 2014. Accessed March 2016, http://www.uconnruddcenter.org/revenue-calculator-for-sugar-sweetened-beverage-taxes.
  21. Powell LM, Chriqui JF, Khan T, Wada R, Chaloupka FJ. Assessing the potential effectiveness of food and beverage taxes and subsidies for improving public health: a systematic review of prices, demand and body weight outcomes. Obes Rev. 2013;14(2): p. 110-28.
  22. Chen L. Reduction in consumption of sugar-sweetened beverages is associated with weight loss: the PREMIER trial. Am J Clin Nutr. 2009;89(5):1299-306.
  23. Mozaffarian D, Hao T, Rimm ER, Willett WC, Hu FB. Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med. 2011;364(25): p. 2392-404.
  24. Palmer JR, Boggs DA, Krishnan S, Hu FB, Singer M, Rosenberg L. Sugar-sweetened beverages and incidence of type 2 diabetes mellitus in African American women. Arch Intern Med. 2008;168(14): p. 1487-92.
  25. Schulze MB, Mason JE, Ludwig D, et al. Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. JAMA. 2004;292(8): p. 927-34.
  26. City of Berkeley Online Records; Contract with Muniservices; Contract # 9828; https://www.cityofberkeley.info/recordsonline/export/16802443.pdf ; Accessed 08/10/2017
  27. de Ruyter JC, Olthof MR, Seidell JC, Katan MB. A trial of sugar-free or sugar-sweetened beverages and body weight in Children. N Engl Med. 2012;367(15):1397-1406.
  28. Ward ZJ, Long MW, Resch SC, Gortmaker SL, Cradock AL, Giles C, Hsiao A, Wang YC. Redrawing the US Obesity Landscape: Bias-Corrected Estimates of State-Specific Adult Obesity Prevalence. PLoS One. 2016 Mar 8;11(3):e0150735.
  29. Long MW, Ward ZJ, Resch SC, Cradock AL, Wang YC, Giles CM, Gortmaker SL. State-level estimates of childhood obesity prevalence in the United States corrected for report bias. Int J Obes (Lond). 2016 Aug 30.
  30. Imamura F, O’Connor L, Ye Z, Mursu J, Hayashino Y, Bhupathiraju SN, Forouhi NG. Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes. Br J Sports Med. 2016 Apr;50(8):496-504.
  31. Lynn J. (2016, Jan 20). City council votes to allocate ‘soda tax’ revenue to school district, city organizations. The Daily Californian. Retrieved from http://www.dailycal.org/2016/01/20/city-council-votes-allocate-soda-tax-revenue-school-district-city-organizations/.
  32. Berkeley City Council. (2016, June 14). Berkeley City Council meeting. [Annotated Agenda]. Retrieved from https://www.cityofberkeley.info/Clerk/City_Council/2016/06_June/City_Council__06-14-2016_-_Meeting_Info.aspx.
  33. Federal Trade Commission. Marketing Food to Children and Adolescents: A Review of Industry Expenditures, Activities, and Self-Regulation —A Report to Congress. Washington, DC: Federal Trade Commission, Bureau of Consumer Protection and Bureau of Economics, 2008. https://www.ftc.gov/sites/default/files/documents/reports/marketing-food-children-and-adolescents-review-industry-expenditures-activities-and-self-regulation/p064504foodmktingreport.pdf
  34. Friedman R. Public Opinion Data, 2013: New Haven, CT: Yale Rudd Center for Food Policy & Obesity.
  35. Frieden TR, Mostashari F, Kerker BD, Miller N, Hajat A, Frankel M. Adult tobacco use levels after intensive tobacco control measures: New York City, 2002-2003. Am J Public Health. 2005;95(6):1016-1023.

 

 

Brief: State Regulations to Reduce Non-Educational Screen Time for Young Children in Licensed Care in Mississippi

Young kids playing in an early care setting

The information in this brief is intended for educational use only.

This brief provides a summary of the CHOICES Learning Collaborative Partnership simulation model of a potential reduction in the Mississippi (MS) state child care licensing regulations’ current limit for daily non-educational screen time in child care. The limit would decrease from 60 minutes a day to 30 minutes a week.

The Issue

Over the past three decades, more and more people have developed obesity.1 Today, nearly nine percent of 2-5 year olds have obesity.2 Now labeled as an epidemic, health care costs for treating obesity-related health conditions such as heart disease and diabetes were $147 billion in 2008.3 While multiple strategies are needed to reverse the epidemic, emerging prevention strategies directed at children show great promise for addressing the epidemic.4 A large body of evidence shows that limiting time watching non-educational television helps kids grow up at a healthy weight.

In Mississippi, approximately 35% of 2-5 year olds attend a licensed child care program, either a center or a family daycare home.5 Licensed programs can offer healthy, nurturing environments for children, and this policy can support programs in creating a healthier screen time environment.

About the Policy to Help Licensing Care Programs Reduce Screen Time

The policy to limit screen time in child care settings to 30 minutes per week is based on national policy recommendations from pediatricians and child care and public health experts.6 Requiring the policy change through licensing regulations would reach a large number of child care programs. The policy change would also help support children’s development of healthy screen use habits.

Comparing Costs and Outcomes

CHOICES cost-effectiveness analysis compared the costs and outcomes of modifying the existing MS licensing regulations regarding screen time for child care providers over 10 years with costs and outcomes associated with not modifying the regulations. The approach assumes that 55% of licensed programs would comply with the regulation change.

Implementing screen time reduction programs throughout MS child care is an investment in the future. By the end of 2025:
Graphic depicting Conclusions and Implications

Conclusions and Implications

Every child deserves a healthy start in life. This includes ensuring that all kids in child care have opportunities to be healthy, no matter where they live or where they go for child care. A state-level initiative to limit non-educational screen time in child care settings could prevent 129 cases of childhood obesity in 2025 and ensure healthier child care environments for over 94,800 children.

What’s more, this is all done at a bargain – less than $1 per child annually. For every $1.00 spent on implementing this screen time strategy, we would save $0.62 in health care costs. These results reinforce the importance of investing in prevention efforts, relative to other treatment interventions, to reduce the prevalence of obesity. Shortchanging prevention efforts can lead to more costly and complicated treatment options in the future, whereas introducing small changes to young children can help them develop healthy habits for life.

Evidence is growing about how to help children achieve a healthy weight. Programs to reduce screen time in child care are laying the foundation for a healthier future by helping child care providers create environments that nurture healthy habits. Leaders at the federal, state, and local level should use the best available evidence to determine which evidence-based programs and policies hold the most promise to help children grow up at a healthy weight.

References

  1. Flegal, K.M., Kruszon-Moran, D., Carroll, M.D., Fryar, C.D., Ogden, C.L. (2016). Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA, 315(21), 2284-91.
  2. Ogden, C. L., Carroll, M. D., Lawman, H. G., Fryar, C. D., Kruszon-Moran, D., Kit, B. K., & Flegal, K. M. (2016). Trends in obesity prevalence among children and adolescents in the United States, 1988-1994 through 2013–2014. JAMA, 315(21), 2292-2299.
  3. Finkelstein EA, Trogdon JG, Cohen JW, Dietz W. Annual Medical Spending Attributable To Obesity: Payer-And Service-Specific Estimates. Health Affairs. 2009;28(5).
  4. Gortmaker, S. L., Wang, Y. C., Long, M. W., Giles, C. M., Ward, Z. J., Barrett, J. L., …Cradock, A. L. (2015). Three interventions that reduce childhood obesity are projected to save more than they cost to implement. Health Affairs, 34(11), 1932–1939.
  5. Communication with Mississippi Department of Public Health Child Care Licensing Office.
  6. American Academy Of Pediatrics, American Public Health Association, National Resource Center for Health and Safety in Child Care and Early Education. (2011). Caring for our children: National health and safety performance standards; Guidelines for early care and education programs. 3rd edition. Elk Grove Village, IL: American Academy of Pediatrics.
Suggested Citation:

Grant T, Wiggins C, Shelson S, Cradock AL, Gortmaker SL, Pipito A, Kenney EL, Giles CM. Mississippi: State Regulations to Reduce Non-Educational Screen Time for Young Children in Licensed Care {Issue Brief}. Mississippi State Department of Health, Jackson, MS, and the CHOICES Learning Collaborative Partnership at the Harvard T.H. Chan School of Public Health, Boston, MA; April, 2017. For more information, please visit www.choicesproject.org

The design for this brief and its graphics were developed by Molly Garrone, MA and partners at Burness.

This issue brief was developed at the Harvard T.H. Chan School of Public Health in collaboration with the Mississippi State Department of Health through participation in the Childhood Obesity Intervention Cost-Effectiveness Study (CHOICES) Learning Collaborative Partnership. This brief is intended for educational use only. Funded by The JPB Foundation. Results are those of the authors and not the funders.

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Brief: Training to Reduce Non-Educational Screen Time for Young Children in Mississippi

The information in this brief is intended for educational use only.

This brief provides a summary of the CHOICES Learning Collaborative Partnership simulation model of training for Mississippi licensed child care providers to reduce young children’s non-educational screen time. Child care program staff would be offered training in the Fit5Kids program1 to support families in reducing home screen time.

The Issue

Over the past three decades, more and more people have developed obesity.2 Today, nearly nine percent of 2-5 year olds have obesity.3 Now labeled as an epidemic, health care costs for treating obesity-related health conditions such as heart disease and diabetes were $147 billion in 2008.4 While multiple strategies are needed to reverse the epidemic, emerging prevention strategies directed at children show great promise for addressing the epidemic.5 A large body of evidence shows that limiting time watching non-educational television helps kids grow up at a healthy weight.6

In Mississippi, approximately 35% of 2-5 year olds attend a licensed child care program, either a center or a family daycare home.7 Licensed programs can offer healthy, nurturing environments for children,8 and this training approach can support programs in helping families adopt healthier screen time habits at home.1

About the Policy and Training to Help Licensing Care Programs Reduce Screen Time

The voluntary training in the evidence-based Fit5Kids program involves training child care providers to incorporate lesson plans and activities about viewing too much television into the daily curriculum and also involves a parent outreach component to reduce screen time at home.1 In this model, the state Department of Health would offer regional trainings. Offering a training statewide could provide participating child care providers with new tools to help families adopt healthier habits.

Comparing Costs and Outcomes

CHOICES cost-effectiveness analysis compared the costs and outcomes of implementing a screen time program training over 10 years with costs and outcomes associated with not implementing the training. The approach assumes that 20% of licensed child care centers would opt to participate in the Fit5Kids program.

Implementing screen time reduction programs throughout MS child care is an investment in the future. By the end of 2025:
Graphic depicting Conclusions and Implications

Conclusions and Implications

Every child deserves a healthy start in life. This includes ensuring that all kids in child care have opportunities to be healthy, no matter where they live or where they go for child care. A state-level initiative to support child care providers in reaching out to families could prevent 243 cases of childhood obesity in Mississippi in 2025 and ensure screen time habits for 27,900 children.

For every $1 spent on implementing this screen time strategy, we would save $0.17 in health care costs. While implementing the Fit5Kids program does not pay for itself in the 10-year time frame modeled here, the results reinforce the importance of investing in prevention efforts, relative to other treatment strategies, to reduce the prevalence of obesity. Shortchanging prevention efforts can lead to more costly and complicated treatment options in the future, whereas introducing small changes to young children can help them develop healthy habits for life.

Evidence is growing about how to help children achieve a healthy weight. Programs to reduce screen time in child care are laying the foundation for a healthier future by helping child care providers create environments that nurture healthy habits. Leaders at the federal, state, and local level should use the best available evidence to determine which evidence-based programs and policies hold the most promise to help children grow up at a healthy weight.

References

  1. Mendoza, J.A., Baranowski, T., Jaramillo, S., Fesinmeyer, M.D., Haaland, W., Thompson, D., Nicklas, T.A. (2016). Fit 5 Kids TV Reduction Program for Latino Preschoolers: A Cluster Randomized Controlled Trial. Am J Prev Med, 50(5), 584-92.
  2. Flegal, K.M., Kruszon-Moran, D., Carroll, M.D., Fryar, C.D., Ogden, C.L. (2016). Trends in Obesity Among Adults in the United States, 2005 to 2014. JAMA, 315(21), 2284-91.
  3. Ogden, C. L., Carroll, M. D., Lawman, H. G., Fryar, C. D., Kruszon-Moran, D., Kit, B. K., & Flegal, K. M. (2016). Trends in obesity prevalence among children and adolescents in the United States, 1988-1994 through 2013–2014. JAMA, 315(21), 2292-2299.
  4. Finkelstein EA, Trogdon JG, Cohen JW, Dietz W. Annual Medical Spending Attributable To Obesity: Payer-And Service-Specific Estimates. Health Affairs. 2009;28(5).
  5. Gortmaker, S. L., Wang, Y. C., Long, M. W., Giles, C. M., Ward, Z. J., Barrett, J. L., …Cradock, A. L. (2015). Three interventions that reduce childhood obesity are projected to save more than they cost to implement. Health Affairs, 34(11), 1932–1939.
  6. Community Preventive Services Task Force. (2016). Reducing Children’s Recreational Sedentary Screen Time: Recommendation of the Community Preventive Services Task Force. Am J Prev Med, 50(3), 416-8.
  7. Communication with Mississippi Department of Public Health Child Care Licensing Office.
  8. American Academy Of Pediatrics, American Public Health Association, National Resource Center for Health and Safety in Child Care and Early Education. (2011). Caring for our children: National health and safety performance standards; Guidelines for early care and education programs. 3rd edition. Elk Grove Village, IL: American Academy of Pediatrics.
Suggested Citation:

Grant T, Wiggins C, Shelson S, Cradock AL, Gortmaker SL, Pipito A, Kenney EL, Giles CM. Mississippi: Training to Reduce Non-Educational Screen Time for Young Children {Issue Brief}. Mississippi State Department of Health, Jackson, MS, and the CHOICES Learning Collaborative Partnership at the Harvard T.H. Chan School of Public Health, Boston, MA; April, 2017. For more information, please visit www.choicesproject.org

The design for this brief and its graphics were developed by Molly Garrone, MA and partners at Burness.

This issue brief was developed at the Harvard T.H. Chan School of Public Health in collaboration with the Mississippi State Department of Health through participation in the Childhood Obesity Intervention Cost-Effectiveness Study (CHOICES) Learning Collaborative Partnership. This brief is intended for educational use only. Funded by The JPB Foundation. Results are those of the authors and not the funders.

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Brief: Cost-Effectiveness of a Sugar-Sweetened Beverage Excise Tax in Illinois

The information in this brief is intended to provide educational information on the cost-effectiveness of SSB taxes.

Intervention Strategy Description

Implementation of a state excise tax of $0.01/ounce of sugar-sweetened beverages (SSBs) in Illinois, administered by the state department of revenue and based on proposals considered by federal, state, and local governments.1-4 This analysis does not include the separate $0.01/ounce tax on SSBs and diet beverages recently passed in Cook County.

Background

Summary Results of Sugar-Sweetened Beverage Excise Tax in IllinoisSSBs include all beverages with added caloric sweeteners. The modeled excise tax does not apply to 100% juice, milk products, or artificially-sweetened beverages. Although SSB consumption has declined in recent years, children and adults in the U.S. consume twice as many calories from SSBs compared to 30 years ago.5-Randomized trials and longitudinal studies have linked SSB consumption to excess weight gain, diabetes, and cardiovascular disease. Consumption of SSBs increases the risk of chronic diseases through its impact on BMI and other mechanisms.8,9 The Dietary Guidelines for Americans, 201510 recommends that individuals reduce SSB intake in order to manage their body weight. Drawing on the success of tobacco taxation and decades of economic research, public health experts have called for higher taxes on SSBs and documented their likely impact.11-14 In 2009, the IOM recommended that local governments implement tax strategies to reduce consumption of “calorie-dense, nutrient-poor foods,” emphasizing SSBs as an apt target for taxation.15

Modeling Framework

Increased state excise tax linked to change in BMI through change in SSB price and consumption.

Logic Model for Sugar Sweetened Beverage Tax

Impact of Tax on Price to Consumers

We assume 100% pass through of the tax over the ten years. Empirical studies in Mexico and France indicate that approximately the full amount of the excise tax is passed on to consumers. 16  Short term studies for the local tax in Berkeley indicate less than complete pass-through. 3,17,18  The expected percent increase in SSB price was estimated based on the average $0.059/ounce reported in a review of beverage demand elasticity (inflated to $0.0612 in 2014 dollars).19  The price per ounce in this study  was based on a weighted average across stores, restaurants and other sources proportional to the source of consumed SSBs in NHANES 2009-2010.  The price per ounce of SSBs purchased in stores was calculated using weighted averages of two-liter bottles, 12-can cases, and single-serve bottles or cans based on the distribution of package sizes estimated from 2010 Nielsen Homescan data.  The $0.01/ounce excise tax would result in a 16.3% price increase.  We assumed that the tax rate would be adjusted annually for inflation to maintain the 16.3% price increase throughout the ten-year modeling time frame.

SSB Consumption and Price Elasticity of Demand

We used regionally-adjusted estimates of total SSB consumption in 2015 published in the UCONN Rudd Center Revenue Calculator for Sugar-Sweetened Beverage Taxes to adjust national age, sex, and race/ethnicity-specific consumption data from NHANES 2005-2010 to estimate current SSB consumption levels in Illinois.20 Powell et al reviewed studies published 2007-2012 and estimated a mean own-price elasticity of demand for SSBs weighted by SSB category consumption shares of -1.21, ranging from -3.87 to -0.69. 21 Recent research concerning the Berkeley tax indicates a 21% reduction in SSB intake among low income populations. 17

Direct effect of change in SSB consumption on change in BMI

We conducted evidence reviews for impact of change in SSB intake on BMI, taking into account any dietary compensation.16 Four large longitudinal studies in adults22-25  of sufficient duration were identified.  The relationship was modeled using a uniform distribution based on the range of the estimates of the effect of a one serving reduction on BMI (from 0.21 to 0.57).  Among youth, a double-blind randomized controlled trial conducted over 18 months found that an additional 8 oz serving of SSBs led to a 1 kg greater weight gain. 26

Reach

The intervention reaches all youth and adults ages 2 years and older in Illinois.

Costs

The policy change will involve start up and ongoing labor costs for state tax department administrators.  To implement the intervention, the state government will need to process tax statements and conduct audits.  Businesses will also need to prepare tax statements and participate in audits, which will require labor from private tax accountants.  Cost information was drawn from states with planned or implemented excise taxes on soft drinks.14 The cost and benefit estimates do not include expected tax revenue.

CHOICES Microsimulation Model

The CHOICES microsimulation model for Illinois was used to calculate the costs and effectiveness over ten years (2015–25). This is a stochastic, discrete-time, individual-level microsimulation model designed to simulate the experience of the Illinois population from 2015 to 2025. Cases of obesity prevented were calculated at the end of the model in 2025. The model uses data from: US Census, American Community Survey, Behavioral Risk Factor Surveillance System27, NHANES, National Survey of Children’s Health28, the Medical Expenditure Panel Survey, and multiple national longitudinal studies. We calculated uncertainty intervals using Monte Carlo simulations programmed in Java over one thousand iterations of the model for a population of one million simulated individuals scaled to the state population size.14

Impact on Diabetes

We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Illinois, we estimated that the proposed SSB excise tax would lead to a 9% reduction in diabetes incidence- an estimated 5,810 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Health Policy Center at the Institute for Health Research and Policy at the University of Illinois at Chicago 30, a $0.01/ounce excise tax in Illinois could raise approximately $561 million each year.

Results

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 33,300 (10,400; 89,400)
Reach
First Year Population Reach* 12.9 million
Effect
Decrease in 12-oz Servings of SSBs per Person in the First Year* 95.9 (56.4; 199.9)
Cases of Obesity Prevented* 116,000 (36,700; 310,000)
Years with Obesity Prevented 819,000 (263,000; 2.17 mill)
Life Years Gained (2,660; 24,300)
Deaths Averted* (800; 7,160)
Cost
Annual Intervention Cost $2 million ($1.30; $2.70 million)
Net Cost (negative means savings) -$733 million (-1.99; -$215 million)
Health Care Cost Savings per $1 Invested $37.7 ($10.6; $112)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.

*Not discounted.

Equity and Implementation Considerations

Concerns have been raised regarding the impact of the tax on households with low incomes. Because of the elasticity of -1.21, our analyses clearly indicates that households will spend less on SSBs after the tax goes into effect, providing disposable income for other purchases. In addition, we project that greater health benefits will accrue to low-income consumers who on average consume more SSBs than higher income consumers; the same is true for a number of racial and ethnic groups. Disparities in obesity outcomes should thus decrease following implementation of the proposed tax. In addition, revenue raised from an SSB tax can be reinvested in low income communities; for instance, in Berkeley, CA SSB tax revenue has been allocated for spending on school and community programs, several with a focus on low income or minority populations, to promote healthy eating, diabetes and obesity prevention.31,32

There is opposition from the beverage industry, which spends over $4 billion/year nationwide on marketing.33  Public support for such taxes generally increases with earmarking for prevention activities.34  Relatively small beverage excise taxes are currently applied across many states.  The proposed tax is likely to be sustainable if implemented based on the history of tobacco excise taxes.  There is potential for a shift in social norms of SSB consumption based on evidence from tobacco control tax and regulatory efforts.35

Discussion

We project that the proposed SSB excise tax policy will prevent thousands of cases of childhood and adult obesity, prevent new cases of diabetes, increase healthy life years and save more in future health care costs than it costs to implement. Revenue from the tax can be used for education and health promotion efforts.   Implementing the tax could also serve as a powerful social signal to reduce sugar consumption. The additional $0.01/ounce tax on SSBs and diet beverages passed in Cook County would result in an even greater impact on heath outcomes and health care cost savings for Cook County residents not modeled in this analysis.

 

Results prepared by the CHOICES project at the Harvard T.H. Chan School of Public Health: Gortmaker SL, Long MW, Ward ZJ, Giles CM, Barrett JL, Resch SC, Cradock AL. Funded by The JPB Foundation and Healthy Food America. Results are those of the authors and not the funders. For further information:  contact cgiles@hsph.harvard.edu.  Visit www.choicesproject.org

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References

  1. American Public Health Association. Taxes on Sugar-Sweetened Beverages. 2012.
  2. Hakim D and Confessore N. Paterson seeks huge cuts and $1 billion in taxes and fees. The New York Times, Jan 19, 2010.
  3. Falbe J, Rojas N, Grummon AH, Madsen KA. Higher Retail Prices of Sugar-Sweetened Beverages 3 Months After Implementation of an Excise Tax in Berkeley, California. Am J Public Health. 2015 Nov;105(11):2194-201.
  4. Leonhardt D. The battle over taxing soda. The New York Times, May 19, 2010.
  5. Wang YC, Bleich SN, and Gortmaker SL. Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among US children and adolescents, 1988–2004. Pediatrics. 2008;121(6):e1604-e1614.
  6. Bleich SN, Wang YC, Wang Y and Gortmaker SL. Increasing consumption of sugar-sweetened beverages among US adults: 1988–1994 to 1999—2004. Am J Clin Nutr. 2008;89(1):372-381.
  7. Kit BK, Fakhouri TH, Park S, Nielsen SJ, Ogden CL. Trends in sugar-sweetened beverage consumption among youth and adults in the United States: 1999-2010. Am J Clin Nutr. 2013 Jul;98(1):180-8.
  8. Malik VS, Pan A, Willett WC , Hu FB. Sugar-sweetened beverages and weight gain in children and adults: a systematic review and meta-analysis. Am J Clin Nutr. 2013;98(4):1084-1102.
  9. Chen L, Caballero B, Mitchell DC, et al. Reducing consumption of sugar-sweetened beverages is associated with reduced blood pressure a prospective study among United States adults. Circulation. 2010;121(22):2398-2406.
  10. S. Department of Health and Human Services and U.S. Department of Agriculture. 2015 – 2020 Dietary Guidelines for Americans. 8th Edition. December 2015. Available at http://health.gov/dietaryguidelines/2015/guidelines/.
  11. Chaloupka FJ, Powell LM, and Chriqui JF. Sugar-sweetened beverage taxes and public health: A Research Brief. Minneapolis, MN: Robert Wood Johnson Foundation, Healthy Eating Research, 2009.
  12. Brownell KD, Farley T, Willett WV, et al. The public health and economic benefits of taxing sugar-sweetened beverages. New Engl J Med. 2009;361(16):1599-1605.
  13. Long MW, Gortmaker SL, Ward ZJ, Resch SC, Moodie ML, Sacks G, Swinburn BA, Carter RC, Claire Wang Y. Cost Effectiveness of a Sugar-Sweetened Beverage Excise Tax in the U.S. Am J Prev Med. 2015 Jul;49(1):112-23.
  14. Gortmaker SL, Wang YC, Long MW, Giles CM, Ward ZJ, Barrett JL, Kenney EL, Sonneville KR, Afzal AS, Resch SC, Cradock AL. Three Interventions That Reduce Childhood Obesity Are Projected To Save More Than They Cost To Implement. Health Aff (Millwood). 2015 Nov 1;34(11):1932-9.
  15. Institute of Medicine. Local Government Actions to Prevent Childhood Obesity, 2009. National Academies Press: Washington, DC.
  16. Colchero MA, Salgado JC, Unar-Munguía M, Molina M, Ng S, Rivera-Dommarco JA. Changes in Prices After an Excise Tax to Sweetened Sugar Beverages Was Implemented in Mexico: Evidence from Urban Areas. PLoS ONE. 2015;10(12): e0144408.
  17. Falbe J, Thompson HR, Becker CM, Rojas N, McCulloch CE, Madsen KA. Impact of the Berkeley Excise Tax on Sugar-Sweetened Beverage Consumption. Am J Public Health. 2016 Aug 23:e1-e7.
  18. Ng SW, Silver L, Ryan-Ibarra S, Induni M, Hamma C, Poti J , Popkin B. Berkeley Evaluation of Soda Tax (BEST) Study Preliminary Findings. Presentation at the annual meeting of the American Public Health Association, Chicago, IL, November.
  19. Powell LM, Isgor z, Rimkus L, Chaloupka FJ. Sugar-sweetened beverage prices: Estimates from a national sample of food outlets. Chicago, IL: Bridging the Gap Program, Health Policy Center, Institute for Health Research and Policy, University of Illinois at Chicago, 2014. Available at: http://www.bridgingthegapresearch.org/_asset/ww9rpz/btg_SSB_price_brief_FINAL_Jan_2014.pdf.
  20. UCONN Rudd Center. Revenue Calculator for Sugar-Sweetened Beverage Taxes. Jan 2014. Accessed March 2016, http://www.uconnruddcenter.org/revenue-calculator-for-sugar-sweetened-beverage-taxes.
  21. Powell LM, Chriqui JF, Khan T, Wada R, Chaloupka FJ. Assessing the potential effectiveness of food and beverage taxes and subsidies for improving public health: a systematic review of prices, demand and body weight outcomes. Obes Rev. 2013;14(2): p. 110-28.
  22. Chen L. Reduction in consumption of sugar-sweetened beverages is associated with weight loss: the PREMIER trial. Am J Clin Nutr. 2009;89(5):1299-306.
  23. Mozaffarian D, Hao T, Rimm ER, Willett WC, Hu FB. Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med. 2011;364(25): p. 2392-404.
  24. Palmer JR, Boggs DA, Krishnan S, Hu FB, Singer M, Rosenberg L. Sugar-sweetened beverages and incidence of type 2 diabetes mellitus in African American women. Arch Intern Med. 2008;168(14): p. 1487-92.
  25. Schulze MB, Mason JE, Ludwig D, et al. Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. JAMA. 2004;292(8): p. 927-34.
  26. de Ruyter JC, Olthof MR, Seidell JC, Katan MB. A trial of sugar-free or sugar-sweetened beverages and body weight in Children. N Engl Med. 2012;367(15):1397-1406.
  27. Ward ZJ, Long MW, Resch SC, Gortmaker SL, Cradock AL, Giles C, Hsiao A, Wang YC. Redrawing the US Obesity Landscape: Bias-Corrected Estimates of State-Specific Adult Obesity Prevalence. PLoS One. 2016 Mar 8;11(3):e0150735.
  28. Long MW, Ward ZJ, Resch SC, Cradock AL, Wang YC, Giles CM, Gortmaker SL. State-level estimates of childhood obesity prevalence in the United States corrected for report bias. Int J Obes (Lond). 2016 Aug 30.
  29. Imamura F, O’Connor L, Ye Z, Mursu J, Hayashino Y, Bhupathiraju SN, Forouhi NG. Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes. Br J Sports Med. 2016 Apr;50(8):496-504.
  30. Chaloupka, FJ. Revenue Implications of a Sugary Beverage Tax in Illinois. A BTG Research Brief. Chicago, IL: Bridging the Gap Program, Health Policy Center, Institute for Health Research and Policy, University of Illinois at Chicago; 2017
  31. Lynn J. (2016, Jan 20). City council votes to allocate ‘soda tax’ revenue to school district, city organizations. The Daily Californian. Retrieved from http://www.dailycal.org/2016/01/20/city-council-votes-allocate-soda-tax-revenue-school-district-city-organizations/.
  32. Berkeley City Council. (2016, June 14). Berkeley City Council meeting. [Annotated Agenda]. Retrieved from https://www.cityofberkeley.info/Clerk/City_Council/2016/06_June/City_Council__06-14-2016_-_Meeting_Info.aspx.
  33. Federal Trade Commission. Marketing Food to Children and Adolescents: A Review of Industry Expenditures, Activities, and Self-Regulation —A Report to Congress. Washington, DC: Federal Trade Commission, Bureau of Consumer Protection and Bureau of Economics, 2008. https://www.ftc.gov/sites/default/files/documents/reports/marketing-food-children-and-adolescents-review-industry-expenditures-activities-and-self-regulation/p064504foodmktingreport.pdf
  34. Friedman R. Public Opinion Data, 2013: New Haven, CT: Yale Rudd Center for Food Policy & Obesity.
  35. Frieden TR, Mostashari F, Kerker BD, Miller N, Hajat A, Frankel M. Adult tobacco use levels after intensive tobacco control measures: New York City, 2002-2003. Am J Public Health. 2005;95(6):1016-1023.

 

Brief: Cost-Effectiveness of a Sugary-Drink Excise Tax in West Virginia

The information in this brief is intended to provide educational information on the cost effectiveness of SSB taxes.

Intervention Strategy Description

Implementation of an increase of the state excise tax by either $0.02/ounce or $0.01/ounce of sugar-sweetened beverages (SSBs), administered by the West Virgina Department of Revenue and based on the current excise tax in West Virginia.1   

Background

Summary Results for a Sugary Drink Excise Tax in West VirginiaSSBs include all beverages with added caloric sweeteners.  The modeled excise tax does not apply to 100% juice, milk products, or artificially-sweetened beverages. Although SSB consumption has declined in recent years, children and adults in the U.S. consume twice as many calories from SSBs compared to 30 years ago.2-4  Randomized trials and longitudinal studies have linked SSB consumption to excess weight gain, diabetes, and cardiovascular disease.  Consumption of SSBs increases the risk of chronic diseases through its impact on BMI and other mechanisms.5-6  The Dietary Guidelines for Americans, 20157 recommends that individuals reduce SSB intake in order to manage their body weight.  Drawing on the success of tobacco taxation and decades of economic research, public health experts have called for higher taxes on SSBs and documented their likely impact.8-11  In 2009, the IOM recommended that local governments implement tax strategies to reduce consumption of “calorie-dense, nutrient-poor foods,” emphasizing SSBs as an apt target for taxation.12

Modeling Framework

Increased state excise tax linked to change in BMI through change in SSB price and consumption.

Logic model for excise tax impacting BMIImpact of Tax on Price to Consumers

We assume 100% pass through of the tax over the ten years. Empirical studies in France and Mexico indicate that approximately the full amount of the excise tax is passed on to consumers.13  Short term studies for the local tax in Berkeley indicate less than complete pass-through. 14-16 The expected percent increase in SSB price was estimated based on the average $0.059/ounce reported in a review of beverage demand elasticity (inflated to $0.0612 in 2014 dollars).17  The price per ounce in this study  was based on a weighted average across stores, restaurants and other sources proportional to the source of consumed SSBs in NHANES 2009-2010.  The price per ounce of SSBs purchased in stores was calculated using weighted averages of two-liter bottles, 12-can cases, and single-serve bottles or cans based on the distribution of package sizes estimated from 2010 Nielsen Homescan data.  The $0.02/ounce increased excise tax would result in a 32.7% price increase; the $0.01/ounce increased  excise tax in a 16.3% price increase.  We assumed that the tax rate would be adjusted annually for inflation to maintain the 32.7% or 16.3% price increase throughout the ten-year modeling time frame.

SSB Consumption and Price Elasticity of Demand

We used regionally-adjusted estimates of total SSB consumption in 2015 published in the UCONN Rudd Center Revenue Calculator for Sugar-Sweetened Beverage Taxes to adjust national age, sex, and race/ethnicity-specific consumption data from NHANES 2005-2010 to estimate current SSB consumption levels in West Virginia.18 Powell et al reviewed studies published 2007-2012 and estimated a mean own-price elasticity of demand for SSBs weighted by SSB category consumption shares of -1.21, ranging from -3.87 to -0.69. 19 Recent research concerning the Berkeley tax indicates a 21% reduction in SSB intake among low income populations. 15

Direct effect of change in SSB consumption on change in BMI

We conducted evidence reviews for impact of change in SSB intake on BMI, taking into account any dietary compensation.11 Four large longitudinal studies in adults20-23  of sufficient duration were identified.  The relationship was modeled using a uniform distribution based on the range of the estimates of the effect of a one serving reduction on BMI (from 0.21 to 0.57).  Among youth, a double-blind randomized controlled trial conducted over 18 months found that an additional 8 oz serving of SSBs led to a 1 kg greater weight gain. 24

Reach

The intervention reaches all youth and  adults ages 2 years and older in West Virginia.

Costs

This policy change would involve an increase in the amount of state excise tax currently collected in West Virginia. We assume that increased costs above the current required costs to implement the tax will be incurred in the first year of implementation to account for changes to the amount of the tax, including labor costs for state tax department administrators to process tax statements and conduct audits.  Businesses will also need to deal with increased costs in the first year in dealing with the change to the tax amount in preparing tax statements and participating in audits, which will require labor from private tax accountants.  Cost information was drawn from estimates from West Virginia on implementation of its current excise taxes on soft drinks.11 The cost and benefit estimates do not include expected tax revenue.

CHOICES Microsimulation Model

The CHOICES microsimulation model for West Virginia was used to calculate the costs and effectiveness over ten years (2015–25). This is a stochastic, discrete-time, individual-level microsimulation model designed to simulate the experience of the West Virginia population from 2015 to 2025. Cases of obesity prevented were calculated at the end of the model in 2025. The model uses data from: US Census, American Community Survey, Behavioral Risk Factor Surveillance System, 25 NHANES, National Survey of Children’s Health, 26 the Medical Expenditure Panel Survey, and multiple longitudinal studies. We calculated uncertainty intervals using Monte Carlo simulations programmed in Java over one thousand iterations of the model for a population of one million simulated individuals scaled to the state population size.11

Impact on Diabetes

 We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 27 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In West Virginia, we estimated that the $0.02/ounce SSB increased excise tax would lead to an 15% reduction in diabetes incidence- an estimated 1,870 cases of diabetes prevented- over a one-year period once the tax reaches its full effect; the $0.01/ounce SSB increased excise tax would lead to an 8% reduction in diabetes incidencean estimated 960 cases of diabetes prevented- over this same time frame.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes 18, a $0.01/ounce excise tax in West Virginia could raise approximately $89 million in 2016.  Based on calculations modeled from the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes18, we estimated a $0.02/ounce excise tax could raise approximately $128 million each year.

Results

Metric $0.02/ounce Results $0.01/ounce Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving Cost-saving
Cost per Case of Obesity Prevented Cost-saving Cost-saving
QALYs Gained 10,500 (3,160; 28,000) 5,330 (1,580; 14,400)
Reach
First Year Population Reach* 1.84 million 1.84 million
Effect
Decrease in 12-oz Serving of SSBs per Person in the First Year* 196.9 (114.2; 411.8) 98.1 (56.9; 205.3)
Cases of Obesity Prevented* 34,300 (10,700; 88,300) 17,700 (5,350; 47,100)
Years with Obesity Prevented 251,000 (78,500; 649,000) 130,000 (39,600; 342,000)
Life Years Gained 3,270 (970; 8,550) 1,670 (450; 4,620)
Deaths Averted* 960 (280; 2,500) 490 (140; 1,350)
Cost
Annual Intervention Cost $29,600 $29,600
Net Cost (negative means savings)ᵻ -$161 mill (-434; -$48.4 mill) -$81.6 mill (-$220,000,000;

-$24.1 mill)

Health Care Cost Savings per $1 Invested $544 ($165; $1,460) $275 ($82; $744)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.
These costs include the difference between the cost to implement the intervention and the healthcare cost savings produced over 10 years.

Equity and Implementation Considerations

Concerns have been raised regarding the impact of the tax on households with low incomes. Because of the elasticity of -1.21, our analyses clearly indicate that households will spend less on SSBs after the tax goes into effect (an estimated $48 million per year less), providing disposable income income for other purchases. In addition, we project that greater health benefits will accrue to low-income consumers who on average consume more SSBs than higher income consumers; the same is true for a number of racial and ethnic groups. Disparities in obesity outcomes should thus decrease following implementation of the proposed tax. In addition, revenue raised from an SSB tax can be reinvested in low income communities; for instance, in Berkeley, CA SSB tax revenue has been allocated for spending on school and community programs, several with a focus on low income or minority populations, to promote healthy eating, diabetes and obesity prevention.28-29 There is also substantial evidence that reductions in SSB consumption can also reduce dental caries. 30-31

There is opposition from the beverage industry, which spends over $4 billion/year nationwide on marketing.32  Public support for such taxes generally increases with earmarking for prevention activities.33  Relatively small beverage excise taxes are currently applied across many states.  The proposed tax is likely to be sustainable if implemented based on history of tobacco excise taxes.  There is potential for a shift in social norms of SSB consumption based on evidence from the tobacco control tax and regulatory efforts.34

Discussion

We project that an increase in the state SSB excise tax by $0.02/ounce will prevent thousands of cases of childhood and adult obesity, prevent new cases of diabetes, increase healthy life years and save more in future health care costs than it costs to implement, with a lower impact for an increase of $0.01/ounce tax. Revenue from the tax can be used for education and health promotion efforts.  Implementing the tax could also serve as a powerful social signal to reduce sugar consumption.

 

Results prepared by the CHOICES project at the Harvard T.H. Chan School of Public Health: Gortmaker SL, Long MW, Ward ZJ, Giles CM, Barrett JL, Resch SC, Cradock AL. Funded by The JPB Foundation and Healthy Food America. Results are those of the authors and not the funders. For further information contact choicesproject@hsph.harvard.edu. 

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References

  1. 11-19-1 of the Code of West Virginia. http://www.legis.state.wv.us/wvcode/code.cfm?chap=11&art=19.
  2. Wang YC, Bleich SN, and Gortmaker SL. Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among US children and adolescents, 1988–2004. Pediatrics. 2008;121(6):e1604-e1614.
  3. Bleich SN, Wang YC, Wang Y and Gortmaker SL. Increasing consumption of sugar-sweetened beverages among US adults: 1988–1994 to 1999—2004. Am J Clin Nutr. 2008;89(1):372-381.
  4. Kit BK, Fakhouri TH, Park S, Nielsen SJ, Ogden CL. Trends in sugar-sweetened beverage consumption among youth and adults in the United States: 1999-2010. Am J Clin Nutr. 2013 Jul;98(1):180-8.
  5. Malik VS, Pan A, Willett WC , Hu FB. Sugar-sweetened beverages and weight gain in children and adults: a systematic review and meta-analysis. Am J Clin Nutr. 2013;98(4):1084-1102.
  6. Chen L, Caballero B, Mitchell DC, et al. Reducing consumption of sugar-sweetened beverages is associated with reduced blood pressure a prospective study among United States adults. Circulation. 2010;121(22):2398-2406.
  7. S. Department of Health and Human Services and U.S. Department of Agriculture. 2015 – 2020 Dietary Guidelines for Americans. 8th Edition. December 2015. Available at http://health.gov/dietaryguidelines/2015/guidelines/.
  8. Chaloupka FJ, Powell LM, and Chriqui JF. Sugar-sweetened beverage taxes and public health: A Research Brief. Minneapolis, MN: Robert Wood Johnson Foundation, Healthy Eating Research, 2009.
  9. Brownell KD, Farley T, Willett WV, et al. The public health and economic benefits of taxing sugar-sweetened beverages. New Engl J Med. 2009;361(16):1599-1605.
  10. Long MW, Gortmaker SL, Ward ZJ, Resch SC, Moodie ML, Sacks G, Swinburn BA, Carter RC, Claire Wang Y. Cost Effectiveness of a Sugar-Sweetened Beverage Excise Tax in the U.S. Am J Prev Med. 2015 Jul;49(1):112-23.
  11. Gortmaker SL, Wang YC, Long MW, Giles CM, Ward ZJ, Barrett JL, Kenney EL, Sonneville KR, Afzal AS, Resch SC, Cradock AL. Three Interventions That Reduce Childhood Obesity Are Projected To Save More Than They Cost To Implement. Health Aff (Millwood). 2015 Nov 1;34(11):1932-9.
  12. Institute of Medicine. Local Government Actions to Prevent Childhood Obesity, 2009. National Academies Press: Washington, DC.
  13. Colchero MA, Salgado JC, Unar-Munguía M, Molina M, Ng S, Rivera-Dommarco JA. Changes in Prices After an Excise Tax to Sweetened Sugar Beverages Was Implemented in Mexico: Evidence from Urban Areas. PLoS ONE. 2015;10(12): e0144408.
  14. Falbe J, Rojas N, Grummon AH, Madsen KA. Higher Retail Prices of Sugar-Sweetened Beverages 3 Months After Implementation of an Excise Tax in Berkeley, California. Am J Public Health. 2015 Nov;105(11):2194-201.
  15. Falbe J, Thompson HR, Becker CM, Rojas N, McCulloch CE, Madsen KA. Impact of the Berkeley Excise Tax on Sugar-Sweetened Beverage Consumption. Am J Public Health. 2016 Aug 23:e1-e7.
  16. Ng SW, Silver L, Ryan-Ibarra S, Induni M, Hamma C, Poti J , Popkin B. Berkeley Evaluation of Soda Tax (BEST) Study Preliminary Findings. Presentation at the American Public Health Association, Chicago, IL, November 2015.
  17. Powell LM, Isgor z, Rimkus L, Chaloupka FJ. Sugar-sweetened beverage prices: Estimates from a national sample of food outlets. Chicago, IL: Bridging the Gap Program, Health Policy Center, Institute for Health Research and Policy, University of Illinois at Chicago, 2014. Available at: http://www.bridgingthegapresearch.org/_asset/ww9rpz/btg_SSB_price_brief_FINAL_Jan_2014.pdf.
  18. UCONN Rudd Center. Revenue Calculator for Sugar-Sweetened Beverage Taxes. Jan 2014. Accessed March 2016, http://www.uconnruddcenter.org/revenue-calculator-for-sugar-sweetened-beverage-taxes.
  19. Powell LM, Chriqui JF, Khan T, Wada R, Chaloupka FJ. Assessing the potential effectiveness of food and beverage taxes and subsidies for improving public health: a systematic review of prices, demand and body weight outcomes. Obes Rev. 2013;14(2): p. 110-28.
  20. Chen L. Reduction in consumption of sugar-sweetened beverages is associated with weight loss: the PREMIER trial. Am J Clin Nutr. 2009;89(5):1299-306.
  21. Mozaffarian D, Hao T, Rimm ER, Willett WC, Hu FB. Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med. 2011;364(25): p. 2392-404.
  22. Palmer JR, Boggs DA, Krishnan S, Hu FB, Singer M, Rosenberg L. Sugar-sweetened beverages and incidence of type 2 diabetes mellitus in African American women. Arch Intern Med. 2008;168(14): p. 1487-92.
  23. Schulze MB, Mason JE, Ludwig D, et al. Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. JAMA. 2004;292(8): p. 927-34.
  24. de Ruyter JC, Olthof MR, Seidell JC, Katan MB. A trial of sugar-free or sugar-sweetened beverages and body weight in Children. N Engl Med. 2012;367(15):1397-1406.
  25. Ward ZJ, Long MW, Resch SC, Gortmaker SL, Cradock AL, Giles C, Hsiao A, Wang YC. Redrawing the US Obesity Landscape: Bias-Corrected Estimates of State-Specific Adult Obesity Prevalence. PLoS One. 2016 Mar 8;11(3):e0150735.
  26. Long MW, Ward ZJ, Resch SC, Cradock AL, Wang YC, Giles CM, Gortmaker SL. State-level estimates of childhood obesity prevalence in the United States corrected for report bias. Int J Obes (Lond). 2016 Aug 30.
  27. Imamura F, O’Connor L, Ye Z, Mursu J, Hayashino Y, Bhupathiraju SN, Forouhi NG. Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes. Br J Sports Med. 2016 Apr;50(8):496-504.
  28. Lynn J. (2016, Jan 20). City council votes to allocate ‘soda tax’ revenue to school district, city organizations. The Daily Californian. Retrieved from http://www.dailycal.org/2016/01/20/city-council-votes-allocate-soda-tax-revenue-school-district-city-organizations/.
  29. Berkeley City Council. (2016, June 14). Berkeley City Council meeting. [Annotated Agenda]. Retrieved from https://www.cityofberkeley.info/Clerk/City_Council/2016/06_June/City_Council__06-14-2016_-_Meeting_Info.aspx.
  30. Moynihan PJ, Kelly SA. Effect on caries of restricting sugars intake: systematic review to inform WHO guidelines. J Dent Res. 2014 Jan;93(1):8-18.
  31. Wilder JR, Kaste LM, Handler A, Chapple-McGruder T, Rankin KM. The association between sugar-sweetened beverages and dental caries among third-grade students in Georgia. J Public Health Dent. 2016 Winter;76(1):76-84.
  32. Federal Trade Commission. Marketing Food to Children and Adolescents: A Review of Industry Expenditures, Activities, and Self-Regulation —A Report to Congress. Washington, DC: Federal Trade Commission, Bureau of Consumer Protection and Bureau of Economics, 2008. https://www.ftc.gov/sites/default/files/documents/reports/marketing-food-children-and-adolescents-review-industry-expenditures-activities-and-self-regulation/p064504foodmktingreport.pdf
  33. Friedman R. Public Opinion Data, 2013: New Haven, CT: Yale Rudd Center for Food Policy & Obesity.
  34. Frieden TR, Mostashari F, Kerker BD, Miller N, Hajat A, Frankel M. Adult tobacco use levels after intensive tobacco control measures: New York City, 2002-2003. Am J Public Health. 2005;95(6):1016-1023.

Brief: Cost-Effectiveness of a Sugar-Sweetened Beverage Excise Tax in 15 U.S. Cities

The information in this brief is intended to provide educational information on the cost-effectiveness of SSB taxes.

Intervention Strategy Description

Implementation of a city excise tax of $0.01/ounce of sugar-sweetened beverages (SSBs), administered by each city’s department of revenue and based on proposals considered by federal, state, and local governments.1-4

Summary Results of Sugar-Sweetened Beverage Excise Tax in 15 U.S. citiesBackground

SSBs include all beverages with added caloric sweeteners.  The modeled excise tax does not apply to 100% juice, milk products, or artificially-sweetened beverages. Although SSB consumption has declined in recent years, children and adults in the U.S. consume twice as many calories from SSBs compared to 30 years ago.5-7  Randomized trials and longitudinal studies have linked SSB consumption to excess weight gain, diabetes, and cardiovascular disease.  Consumption of SSBs increases the risk of chronic diseases through its impact on BMI and other mechanisms.8,9  The Dietary Guidelines for Americans, 201510 recommends that individuals reduce SSB intake in order to manage their body weight.  Drawing on the success of tobacco taxation and decades of economic research, public health experts have called for higher taxes on SSBs and documented their likely impact.11-14  In 2009, the IOM recommended that local governments implement tax strategies to reduce consumption of “calorie-dense, nutrient-poor foods,” emphasizing SSBs as an apt target for taxation.15

Modeling Framework

Municipal excise tax in large cities in the United States with the authority to implement such a tax linked to change in BMI through change in SSB price and consumption.

Logic Model for Sugar Sweetened Beverage Tax

Impact of Tax on Price to Consumers

We assume 100% pass through of the tax over the ten years. Empirical studies of SSB excise taxes in Mexico and France indicate that approximately  the full amount of the excise tax is passed on to consumers.16  Short term studies for the local tax in Berkeley indicate less than complete pass-through. 3,17,18 The expected percent increase in SSB price was estimated based on the average $0.059/ounce reported in a review of beverage demand elasticity (inflated to $0.0612 in 2014 dollars).19  The price per ounce in this study  was based on a weighted average across stores, restaurants and other sources proportional to the source of consumed SSBs in NHANES 2009-2010.  The price per ounce of SSBs purchased in stores was calculated using weighted averages of two-liter bottles, 12-can cases, and single-serve bottles or cans based on the distribution of package sizes estimated from 2010 Nielsen Homescan data.  The $0.01/ounce increased excise tax results in a 16.3% price increase.  We assumed that the tax rate would be adjusted annually for inflation to maintain the 16.3% price increase throughout the ten-year modeling time frame.

SSB Consumption and Price Elasticity of Demand

We used regionally-adjusted estimates of total SSB consumption in 2015 published in the UCONN Rudd Center Revenue Calculator for Sugar-Sweetened Beverage Taxes to adjust national age, sex, and race/ethnicity-specific consumption data from NHANES 2005-2010 to estimate current SSB consumption levels in each of the cities studied.20 Powell et al reviewed studies published 2007-2012 and estimated a mean own-price elasticity of demand for SSBs weighted by SSB category consumption shares of -1.21, ranging from -3.87 to -0.69. 21 Recent research concerning the Berkeley tax indicates a 21% reduction in SSB intake among low income populations.17

Direct effect of change in SSB consumption on change in BMI

We conducted evidence reviews for the impact of change in SSB intake on change in BMI, taking into account any dietary compensation.16 Four large longitudinal studies in adults22-25  of sufficient duration were identified.  The relationship was modeled using a uniform distribution based on the range of the estimates of the effect of a one serving reduction on BMI (from 0.21 to 0.57).  Among youth, a double-blind randomized controlled trial conducted over 18 months found that an additional 8 oz serving of SSBs led to a 1 kg greater weight gain. 26

Reach

The intervention reaches all youth and adults ages 2 years and older in each of the 15 cities studied.

Costs

The policy change will involve start up and ongoing labor costs for municipal tax department administrators.  To implement the intervention, the municipal government will need to process tax statements and conduct audits.  Businesses will also need to prepare tax statements and participate in audits, which will require labor from private tax accountants.  Cost information was drawn from states with planned or implemented excise taxes on soft drinks.14 The cost and benefit estimates do not include expected tax revenue.

CHOICES Microsimulation Model

The CHOICES microsimulation model for each of these 15 cities was used to calculate the costs and effectiveness over ten years (2015–25). This is a stochastic, discrete-time, individual-level microsimulation model designed to simulate the experience of the city population from 2015 to 2025. Cases of obesity prevented were calculated at the end of the model in 2025. The model uses data from: US Census, American Community Survey, Behavioral Risk Factor Surveillance System, 27 NHANES, National Survey of Children’s Health, 28 the Medical Expenditure Panel Survey, and multiple longitudinal studies. We calculated uncertainty intervals using Monte Carlo simulations programmed in Java over one thousand iterations of the model for a population of simulated individuals representing each city’s population size.14

Impact on Diabetes

 We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In the 15 cities studied, we estimated the $0.01/ounce SSB excise tax would lead to an average  6% reduction in diabetes incidence- an estimated average 325 cases of diabetes prevented- over a one-year period once the tax reaches its full effect; Seattle would have the lowest reduction in cases of diabetes prevented (97; 4% reduction in diabetes incidence), while Los Angeles would have the highest reduction in cases of diabetes prevented (779; 4% reduction in diabetes incidence).

Results

Estimates and 95% uncertainty intervals. (Click on city names to jump to full city-specific tables in the Appendix).

City Cost per Case of Obesity Prevented QALYs Gained Cases of Obesity Prevented* Deaths Averted* Annual Intervention Cost Net Cost (negative means savings) Health Care Cost Savings per $1 Invested
Baltimore Cost-saving 1,480(455; 4,034) 4,950(1,540; 13,500) 131(38; 357) $102,900($66,400; $140,000) -$31.6 mill(-$88.80mill; -$8.97mill) $31.70($8.73; $95.80)
Charlotte Cost-saving 1,970(607; 5,330) 7,140(2,260; 19,200) 154(47; 426) $114,000($74,900; $153,000) -$33.60 mill(-$91.70mill; -$9.56 mill) $30.60 ($8.42; $92.60)
Columbus Cost-saving 2,050(639; 5,450) 7,690(2,420; 20,540) 154(45; 418) $126,000($82,200; $170,000) -$46.3mill(-$125 mill;

-$13.50mill)

$37.80($10.50; $113)
Denver Cost-saving 1,340(414; 3,600) 5,120(1,620; 13,600) 93(26; 257) $99,600($64,500; $135,000) -$35.3mill(-$95.5mill;

-$10.4mill)

$36.40($10.30; $108)
Detroit Cost-saving 1,950(604; 5,230) 7,200(2,260; 19,200) 187(55; 484) $118,000($76,000;

$160,000)

-$33.6mill(-$95.4mill;

-$9.72)

$29.50($8.19; $90)
Indianapolis Cost-saving 2,150(672; 5,810) 7,710(2,430; 20,500) 174(53; 476) $121,000($80,010; $162,000) -$43.3mill(-$120mill;

-$12.6mill)

$36.80($10.40; $110)
Jacksonville Cost-saving 2,100(638; 5,600) 7,300(2,300; 19,300) 173(52; 471) $117,000($78,000; $157,000) -$39.6mill(-$109mill;

-$11.4mill)

$34.84($9.67; $103)
Las Vegas Cost-saving 1,249(389; 3,374) 4,678(1,499; 12,345) 95(27; 269) $91,428($59,732; $123,236) -$23.14mill(-63.69mill;

-$6.53mill)

$26.30($7.29; $79)
Los Angeles Cost-saving 5,730(1,760; 15,400) 21,700(6,730; 58,600) 374(102; 1,060) $649,000($418,000; $ 882,000) -$177mill(-$486mill;

-$50.1mill)

$28.20($7.76; $85.10)
Louisville Cost-saving 2,180(1,003; 4,920) 6,793(2,950; 15,700) 181(64; 432) $81,100($54,300; $108,000) -$41.3mill(-$85.2mill; -$22.1mill) $52.10($25.5; $119)
Oklahoma City Cost-saving 1,340(411; 3,610) 4,590(1,410; 12,300) 110(32; 299) $84,000($55,900; $112,000) -$20mill(-$55.10mill;

-$5.55mill)

$24.80($6.91; $73.80)
Phoenix Cost-saving 3,370(1,030; 9,160) 13,510(4,270; 35,900) 221(64; 618) $230,000($151,000; $309,000) -$79.80mill(-$217mill;

-$22.70mill)

$35.80($9.82; $106)
San Diego Cost-saving 1,900(581; 5,100) 7,100(2,200; 19,100) 126(34; 339) $222,000($143,000; $302,000) -$58.3mill (-$161mill;

-$16.4mill)

$27.2($7.42; $82.90)
San Jose Cost-saving 1,370(415; 3,630) 5,200(1,630; 13,900) 93(25; 252) $164,000($105,000; $222,000) -$43.40mill(-$119mill;

-$12.40mill)

$27.50($7.67; $83)
Seattle Cost-saving 1,290(479; 3010) 3,990(1,460; 9,710) 83(5; 231) $61,500($61,500; $61,500) -52.8 mill (-108 mill; -29.3 mill) $86.9 ($48.7; $177)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.

*Not discounted.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes and calculations modeled off their calculator, 20  a $0.01/ounce excise tax in these 15 cities could raise a total of over $600 million in the first year of implementation.

City Estimated Yearly Tax Revenue
Baltimore $25,600,000
Charlotte $38,900,000
Columbus $40,800,000
Denver $28,600,000
Detroit $33,500,000
Indianapolis $41,000,000
Jacksonville $38,900,000
Las Vegas $25,200,000
Los Angeles $115,000,000
Louisville $29,900,000
Oklahoma City $25,900,000
Phoenix $68,500,000
San Diego $39,900,000
San Jose $29,300,000
Seattle $19,000,000

Equity and Implementation Considerations

Concerns have been raised regarding the impact of the tax on households with low incomes. Because of the elasticity of -1.21, our analyses clearly indicate that households will spend less on SSBs after the tax goes into effect, providing disposable income for other purchases. In addition, we project that greater health benefits will accrue to low-income consumers who on average consume more SSBs than higher income consumers; the same is true for a number of racial and ethnic groups. Disparities in obesity outcomes should thus decrease following implementation of the proposed tax. In addition, revenue raised from an SSB tax can be reinvested in low income communities; for instance, in Berkeley, CA SSB tax revenue has been allocated for spending on school and community programs, several with a focus on low income or minority populations, to promote healthy eating, diabetes and obesity prevention.30,31

There is opposition from the beverage industry, which spends over $4 billion/year nationwide on marketing.32  Public support for such taxes generally increases with earmarking for prevention activities.33  Relatively small beverage excise taxes are currently applied across many states.  The proposed tax is likely to be sustainable if implemented based on the history of tobacco excise taxes.  There is potential for a shift in social norms of SSB consumption based on evidence from tobacco control tax and regulatory efforts.34

Discussion

We project that municipal SSB excise taxes in these cities of $0.01/ounce will prevent 115,000  cases of childhood and adult obesity in 2025, prevent many new cases of diabetes, increase healthy life years and save more in future health care costs than the intervention costs to implement. Revenue from the tax can be used for education and health promotion efforts.   Implementing the tax could also serve as a powerful social signal to reduce sugar consumption.

 

Results prepared by the CHOICES project at the Harvard T.H. Chan School of Public Health: Gortmaker SL, Long MW, Ward ZJ, Giles CM, Barrett JL, Resch SC, Tao H, Cradock AL. Funded by The JPB Foundation and Healthy Food America. Results are those of the authors and not the funders. For further information contact choicesproject@hsph.harvard.edu. 

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References

  1. American Public Health Association. Taxes on Sugar-Sweetened Beverages. 2012.
  2. Hakim D and Confessore N. Paterson seeks huge cuts and $1 billion in taxes and fees. The New York Times, Jan 19, 2010.
  3. Falbe J, Rojas N, Grummon AH, Madsen KA. Higher Retail Prices of Sugar-Sweetened Beverages 3 Months After Implementation of an Excise Tax in Berkeley, California. Am J Public Health. 2015 Nov;105(11):2194-201.
  4. Leonhardt D. The battle over taxing soda. The New York Times, May 19, 2010.
  5. Wang YC, Bleich SN, and Gortmaker SL. Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among US children and adolescents, 1988–2004. Pediatrics. 2008;121(6):e1604-e1614.
  6. Bleich SN, Wang YC, Wang Y and Gortmaker SL. Increasing consumption of sugar-sweetened beverages among US adults: 1988–1994 to 1999—2004. Am J Clin Nutr. 2008;89(1):372-381.
  7. Kit BK, Fakhouri TH, Park S, Nielsen SJ, Ogden CL. Trends in sugar-sweetened beverage consumption among youth and adults in the United States: 1999-2010. Am J Clin Nutr. 2013 Jul;98(1):180-8.
  8. Malik VS, Pan A, Willett WC , Hu FB. Sugar-sweetened beverages and weight gain in children and adults: a systematic review and meta-analysis. Am J Clin Nutr. 2013;98(4):1084-1102.
  9. Chen L, Caballero B, Mitchell DC, et al. Reducing consumption of sugar-sweetened beverages is associated with reduced blood pressure a prospective study among United States adults. Circulation. 2010;121(22):2398-2406.
  10. S. Department of Health and Human Services and U.S. Department of Agriculture. 2015 – 2020 Dietary Guidelines for Americans. 8th Edition. December 2015. Available at http://health.gov/dietaryguidelines/2015/guidelines/.
  11. Chaloupka FJ, Powell LM, and Chriqui JF. Sugar-sweetened beverage taxes and public health: A Research Brief. Minneapolis, MN: Robert Wood Johnson Foundation, Healthy Eating Research, 2009.
  12. Brownell KD, Farley T, Willett WV, et al. The public health and economic benefits of taxing sugar-sweetened beverages. New Engl J Med. 2009;361(16):1599-1605.
  13. Long MW, Gortmaker SL, Ward ZJ, Resch SC, Moodie ML, Sacks G, Swinburn BA, Carter RC, Claire Wang Y. Cost Effectiveness of a Sugar-Sweetened Beverage Excise Tax in the U.S. Am J Prev Med. 2015 Jul;49(1):112-23.
  14. Gortmaker SL, Wang YC, Long MW, Giles CM, Ward ZJ, Barrett JL, Kenney EL, Sonneville KR, Afzal AS, Resch SC, Cradock AL. Three Interventions That Reduce Childhood Obesity Are Projected To Save More Than They Cost To Implement. Health Aff (Millwood). 2015 Nov 1;34(11):1932-9.
  15. Institute of Medicine. Local Government Actions to Prevent Childhood Obesity, 2009. National Academies Press: Washington, DC.
  16. Colchero MA, Salgado JC, Unar-Munguía M, Molina M, Ng S, Rivera-Dommarco JA. Changes in Prices After an Excise Tax to Sweetened Sugar Beverages Was Implemented in Mexico: Evidence from Urban Areas. PLoS ONE. 2015;10(12): e0144408.
  17. Falbe J, Thompson HR, Becker CM, Rojas N, McCulloch CE, Madsen KA. Impact of the Berkeley Excise Tax on Sugar-Sweetened Beverage Consumption. Am J Public Health. 2016 Aug 23:e1-e7.
  18. Ng SW, Silver L, Ryan-Ibarra S, Induni M, Hamma C, Poti J , Popkin B. Berkeley Evaluation of Soda Tax (BEST) Study Preliminary Findings. Presentation at the annual meeting of the American Public Health Association, Chicago, IL, November 2015.
  19. Powell LM, Isgor z, Rimkus L, Chaloupka FJ. Sugar-sweetened beverage prices: Estimates from a national sample of food outlets. Chicago, IL: Bridging the Gap Program, Health Policy Center, Institute for Health Research and Policy, University of Illinois at Chicago, 2014. Available at: http://www.bridgingthegapresearch.org/_asset/ww9rpz/btg_SSB_price_brief_FINAL_Jan_2014.pdf.
  20. UCONN Rudd Center. Revenue Calculator for Sugar-Sweetened Beverage Taxes. Jan 2014. Accessed March 2016, http://www.uconnruddcenter.org/revenue-calculator-for-sugar-sweetened-beverage-taxes.
  21. Powell LM, Chriqui JF, Khan T, Wada R, Chaloupka FJ. Assessing the potential effectiveness of food and beverage taxes and subsidies for improving public health: a systematic review of prices, demand and body weight outcomes. Obes Rev. 2013;14(2): p. 110-28.
  22. Chen L. Reduction in consumption of sugar-sweetened beverages is associated with weight loss: the PREMIER trial. Am J Clin Nutr. 2009;89(5):1299-306.
  23. Mozaffarian D, Hao T, Rimm ER, Willett WC, Hu FB. Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med. 2011;364(25): p. 2392-404.
  24. Palmer JR, Boggs DA, Krishnan S, Hu FB, Singer M, Rosenberg L. Sugar-sweetened beverages and incidence of type 2 diabetes mellitus in African American women. Arch Intern Med. 2008;168(14): p. 1487-92.
  25. Schulze MB, Mason JE, Ludwig D, et al. Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. JAMA. 2004;292(8): p. 927-34.
  26. de Ruyter JC, Olthof MR, Seidell JC, Katan MB. A trial of sugar-free or sugar-sweetened beverages and body weight in Children. N Engl Med. 2012;367(15):1397-1406.
  27. Ward ZJ, Long MW, Resch SC, Gortmaker SL, Cradock AL, Giles C, Hsiao A, Wang YC. Redrawing the US Obesity Landscape: Bias-Corrected Estimates of State-Specific Adult Obesity Prevalence. PLoS One. 2016 Mar 8;11(3):e0150735.
  28. Long MW, Ward ZJ, Resch SC, Cradock AL, Wang YC, Giles CM, Gortmaker SL. State-level estimates of childhood obesity prevalence in the United States corrected for report bias. Int J Obes (Lond). 2016 Aug 30.
  29. Imamura F, O’Connor L, Ye Z, Mursu J, Hayashino Y, Bhupathiraju SN, Forouhi NG. Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes. Br J Sports Med. 2016 Apr;50(8):496-504.
  30. Lynn J. (2016, Jan 20). City council votes to allocate ‘soda tax’ revenue to school district, city organizations. The Daily Californian. Retrieved from http://www.dailycal.org/2016/01/20/city-council-votes-allocate-soda-tax-revenue-school-district-city-organizations/.
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Appendix: City-specific results

Table 1: Baltimore, MD.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 1,484(455; 4,034)
Reach
First Year Population Reach* 627,445
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 82.70(48.74; 172.43)
Cases of Obesity Prevented* 4,950(1,538; 13,537)
Years with Obesity Prevented 36,187(11,377; 96,214)
Life Years Gained 449(124; 1,208)
Deaths Averted* 131(38; 357)
Cost
Annual Intervention Cost $102,886($66,416; $139,501)
Net Cost (negative means savings) -$31.6mill(-$88.8mill; -$8.97mill)
Health Care Cost Savings per $1 Invested $31.7($8.73; $95.8)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

 We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Baltimore, we estimated the $0.01/ounce SSB excise tax would lead to an 6% reduction in diabetes incidence- an estimated 303 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes, 20, a $0.01/ounce excise tax in Baltimore could raise $25 million in the first year of implementation.

Table 2: Charlotte, NC.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 1,967(607; 5,331)
Reach
First Year Population Reach* 755,674
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 94.7(55.8; 197)
Cases of Obesity Prevented* 7,135(2,263; 19,210)
Years with Obesity Prevented 51,453(16,237; 135,913)
Life Years Gained 517(152; 1,446)
Deaths Averted* 154(47; 426)
Cost
Annual Intervention Cost $113,765($74,855; $152,910)
Net Cost (negative means savings) -$33.6mill(-$91.7mill; -$9.56mill)
Health Care Cost Savings per $1 Invested $30.6($8.42; $92.6)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Charlotte, we estimated the $0.01/ounce SSB excise tax would lead to an 8% reduction in diabetes incidence- an estimated 273 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes, 20, a $0.01/ounce excise tax in Charlotte could raise $38 million in the first year of implementation.

Table 3: Columbus, OH.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 2,051(639; 5,454)
Reach
First Year Population Reach* 811,882
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 98.3(57.9; 205)
Cases of Obesity Prevented* 7,687(2,421; 20,540)
Years with Obesity Prevented 54,249(17,237; 141,955)
Life Years Gained 512(147; 1,384)
Deaths Averted* 154(45; 418)
Cost
Annual Intervention Cost $125,798($82,227; $169,581)
Net Cost (negative means savings) -$46.3mill(-$125.2mill; -$13.5mill)
Health Care Cost Savings per $1 Invested $37.8($10.5; $112.9)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Columbus, we estimated the $0.01/ounce SSB excise tax would lead to an 8% reduction in diabetes incidence- an estimated 396 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes, 20, a $0.01/ounce excise tax in Columbus could raise $41 million in the first year of implementation.

Table 4: Denver, CO.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 1,342(414; 3,603)
Reach
First Year Population Reach* 614,708
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 82.1(48.3; 171)
Cases of Obesity Prevented* 5,123(1,616; 13,573)
Years with Obesity Prevented 35,495(11,283; 93,903)
Life Years Gained 304(78; 844)
Deaths Averted* 93(26; 257)
Cost
Annual Intervention Cost $99,600($64,469; $134,796)
Net Cost (negative means savings) -$35.3mill(-$95.5mill; -$10,4mill)
Health Care Cost Savings per $1 Invested $36.4($10.3; $108)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

 We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Denver, we estimated the $0.01/ounce SSB excise tax would lead to an 7% reduction in diabetes incidence- an estimated 169 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes, 20, a $0.01/ounce excise tax in Denver could raise $29 million in the first year of implementation.

Table 5: Detroit, MI.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 1,945(604; 5,228)
Reach
First Year Population Reach* 721,507
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 98.9(58.3; 206)
Cases of Obesity Prevented* 7,203(2,262; 19,153)
Years with Obesity Prevented 50,618(16,369; 133,196)
Life Years Gained 656(192; 1,707)
Deaths Averted* 187(55; 484)
Cost
Annual Intervention Cost $117,715($75,966; $ 159,488)
Net Cost (negative means savings) -$33.6mill(-$95.4mill; -$9.72)
Health Care Cost Savings per $1 Invested $29.5($8.19; $89.5)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Detroit, we estimated the $0.01/ounce SSB excise tax would lead to an 7% reduction in diabetes incidence- an estimated 350 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes, 20, a $0.01/ounce excise tax in Detroit could raise $34 million in the first year of implementation.

Table 6: Indianapolis, IN.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 2,153(672; 5,807)
Reach
First Year Population Reach* 837,391
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 96.9(57.2; 202)
Cases of Obesity Prevented* 7,707(2,432; 20,473)
Years with Obesity Prevented 55,284(17,644; 145,318)
Life Years Gained 595(178; 1,621)
Deaths Averted* 174(53; 476)
Cost
Annual Intervention Cost $120,940($80,010; $161,889)
Net Cost (negative means savings) -$43.3mill(-$120mill; -$12.6mill)
Health Care Cost Savings per $1 Invested $36.8($10.4; $110)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Indianapolis, we estimated the $0.01/ounce SSB excise tax would lead to an 8% reduction in diabetes incidence- an estimated 393 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes, 20, a $0.01/ounce excise tax in Indianapolis could raise $41 million in the first year of implementation.

Table 7: Jacksonville, FL.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 2,096(638; 5,596)
Reach
First Year Population Reach* 834,543
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 91.7(54.0; 191)
Cases of Obesity Prevented* 7,302(2,304; 19,256)
Years with Obesity Prevented 52,088(16,592; 137,861)
Life Years Gained 593(177; 1,583)
Deaths Averted* 173(52; 471)
Cost
Annual Intervention Cost $117,081($77,928; $156,450)
Net Cost (negative means savings) -$39.6mill(-$109mill; -$11.4mill)
Health Care Cost Savings per $1 Invested $34.8($9.67; $103)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

 We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Jacksonville, we estimated the $0.01/ounce SSB excise tax would lead to an 7% reduction in diabetes incidence- an estimated 394 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes, 20, a $0.01/ounce excise tax in Jacksonville could raise $39 million in the first year of implementation.

Table 8: Las Vegas, NV.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 1,249(389; 3,374)
Reach
First Year Population Reach* 594,712
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 79.3(46.7; 165)
Cases of Obesity Prevented* 4,678(1,499; 12,345)
Years with Obesity Prevented 32,400(10,331; 86,077)
Life Years Gained 325(87; 922)
Deaths Averted* 95(27; 269)
Cost
Annual Intervention Cost $91,428($59,732; $123,236)
Net Cost (negative means savings) -$23.1mill(-63.7mill; -$6.53mill)
Health Care Cost Savings per $1 Invested $26.3($7.29; $79.0)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

 We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Las Vegas, we estimated the $0.01/ounce SSB excise tax would lead to an 6% reduction in diabetes incidence- an estimated 170 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes and calculations modeled off their calculator, 20, a $0.01/ounce excise tax in Las Vegas could raise $25 million in the first year of implementation.

Table 9: Los Angeles, CA.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 5,731(1,764; 15,401)
Reach
First Year Population Reach* 3,869,243
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 55.5(32.6; 116)
Cases of Obesity Prevented* 21,665(6,725; 58,575)
Years with Obesity Prevented 150,968(47,543; 404,126)
Life Years Gained 1,249(324; 3,456)
Deaths Averted* 374(102; 1,058)
Cost
Annual Intervention Cost $649,301($417,761; $ 881,460)
Net Cost (negative means savings) -$177mill(-$486mill; -$50.1mill)
Health Care Cost Savings per $1 Invested $28.2($7.76; $85.1)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Los Angeles, we estimated the $0.01/ounce SSB excise tax would lead to an 4% reduction in diabetes incidence- an estimated 779 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes, 20, a $0.01/ounce excise tax in Los Angles could raise $115 million in the first year of implementation.

Table 10: Louisville, KY.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 2,180(1,003; 4,922)
Reach
First Year Population Reach* 600,188
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 98.5(58.0; 205)
Cases of Obesity Prevented* 6,793(2,951; 15,721)
Years with Obesity Prevented 47,857(21,194; 110,094)
Life Years Gained 607(173; 1,480)
Deaths Averted* 181(64; 432)
Cost
Annual Intervention Cost $81,148($54,284; $108,065)
Net Cost (negative means savings) -$41.3mill(-$85.2mill; -$22.1mill)
Health Care Cost Savings per $1 Invested $51.95($25.47; $119.48)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Louisville, we estimated the $0.01/ounce SSB excise tax would lead to a 9% reduction in diabetes incidence- an estimated 448 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes, 20, a $0.01/ounce excise tax in Louisville could raise $30 million in the first year of implementation.

Table 11: Oklahoma City, OK.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 1,339(411; 3,607)
Reach
First Year Population Reach* 593,385
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 83.3(49.0; 174)
Cases of Obesity Prevented* 4,585(1,407; 12,326)
Years with Obesity Prevented 33,543(10,585; 88,891)
Life Years Gained 377(104; 1,022)
Deaths Averted* 110(32; 299)
Cost
Annual Intervention Cost $83,973($55,865; $112,176)
Net Cost (negative means savings) -$20.0mill(-$55.1mill; -$5.55mill)
Health Care Cost Savings per $1 Invested $24.8($6.91; $73.8)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Oklahoma City, we estimated the $0.01/ounce SSB excise tax would lead to an 6% reduction in diabetes incidence- an estimated 197 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes and calculations modeled off their calculator, 20, a $0.01/ounce excise tax in Oklahoma City could raise $26 million in the first year of implementation.

Table 12: Phoenix, AZ.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 3,369(1,029; 9,164)
Reach
First Year Population Reach* 1,498,089
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 86.3(50.8; 180)
Cases of Obesity Prevented* 13,507(4,271; 35,875)
Years with Obesity Prevented 96,158(30,750; 252,707)
Life Years Gained 732(211; 2,038)
Deaths Averted* 221(64; 618)
Cost
Annual Intervention Cost $229,492($150,482; $308,753)
Net Cost (negative means savings) -$79.8mill(-$216mill; -$22.7mill)
Health Care Cost Savings per $1 Invested $35.8($9.82; $106)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Phoenix, we estimated the $0.01/ounce SSB excise tax would lead to an 7% reduction in diabetes incidence- an estimated 496 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes, 20, a $0.01/ounce excise tax in Phoenix could raise $69 million in the first year of implementation.

Table 13: San Diego, CA.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 1,904(581; 5,097)
Reach
First Year Population Reach* 1,329,060
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 54.7(32.2; 114)
Cases of Obesity Prevented* 7,095(2,196; 19,098)
Years with Obesity Prevented 49,511(15,384; 132,470)
Life Years Gained 419(115; 1,122)
Deaths Averted* 126(34; 339)
Cost
Annual Intervention Cost $222,372($143,011; $301,814)
Net Cost (negative means savings) -$58.3mill (-$161; -$16.4 mill)
Health Care Cost Savings per $1 Invested $27.2($7.42; $82.9)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In San Diego, we estimated the $0.01/ounce SSB excise tax would lead to an 4% reduction in diabetes incidence- an estimated 241 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes, 20, a $0.01/ounce excise tax in San Diego could raise $40 million in the first year of implementation.

Table 14: San Jose, CA.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 1,367(415; 3,633)
Reach
First Year Population Reach* 971,402
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 54.9(32.4; 114)
Cases of Obesity Prevented* 5,199(1,629; 13,917)
Years with Obesity Prevented 36,097(11,515; 96,052)
Life Years Gained 308(76; 815)
Deaths Averted* 93(25; 252)
Cost
Annual Intervention Cost $163,852($105,440; $222,321)
Net Cost (negative means savings) -$43.4mill(-$119mill; -$12.4mill)
Health Care Cost Savings per $1 Invested $27.5($7.67; $83.0)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In San Jose, we estimated the $0.01/ounce SSB excise tax would lead to an 4% reduction in diabetes incidence- an estimated 164 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes, 20, a $0.01/ounce excise tax in San Jose could raise $29 million in the first year of implementation.

Table 15: Seattle, WA.

Estimates and 95% uncertainty intervals.

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 1,290(479; 3010)
Reach
First Year Population Reach* 612,000
Effect
Decrease in 12 ounce Servings of SSBs per Person in the First Year* 56.8(32.1; 125)
Cases of Obesity Prevented* 3,990(1,460; 9,710)
Years with Obesity Prevented 27,400(11,100; 66,800)
Life Years Gained 278(-77; 774)
Deaths Averted* 83(5; 231)
Cost
Annual Intervention Cost $61,500($61,500; $61,500)
Net Cost (negative means savings) -$52.8 mill (-$108 mill; -$29.3 mill)
Health Care Cost Savings per $1 Invested $86.9 ($48.7; $177)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Impact on Diabetes

We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption 29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Seattle, we estimated the $0.01/ounce SSB excise tax would lead to a 4% reduction in diabetes incidence- an estimated 97 cases of diabetes prevented- over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

According to the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes, 20, a $0.01/ounce excise tax in Seattle could raise $19 million in the first year of implementation.

 

Brief: Cost-Effectiveness of a Sugar-Sweetened and Diet Beverage Tax in Cook County, IL

The information in this brief is intended to provide educational information on the cost-effectiveness of SSB taxes.

Intervention Strategy Description

Implementation of a county tax of $0.01/ounce of sugar-sweetened beverages (SSBs) and diet drinks, administered by the county and based on proposals considered by federal, state, and local governments.1-4

Background

Summary Results of Sugar-Sweetened Beverage Excise Tax in Cook County, ILSSBs include all beverages with added caloric sweeteners; diet drinks include any beverages with artificial sweeteners.  The modeled tax does not apply to 100% juice or milk products. Although SSB consumption has declined in recent years, children and adults in the U.S. consume twice as many calories from SSBs compared to 30 years ago.5-7  Randomized trials and longitudinal studies have linked SSB consumption to excess weight gain, diabetes, and cardiovascular disease.  Consumption of SSBs increases the risk of chronic diseases through its impact on BMI and other mechanisms.8,9  The Dietary Guidelines for Americans, 201510 recommends that individuals reduce SSB intake to manage their body weight.  Drawing on the success of tobacco taxation and decades of economic research, public health experts have called for higher taxes on SSBs and documented their likely impact.11-14  In 2009, the IOM recommended that local governments implement tax strategies to reduce consumption of “calorie-dense, nutrient-poor foods,” emphasizing SSBs as an apt target for taxation.15

Modeling Framework

Increased county tax linked to change in BMI through change in SSB price and consumption.

 Logic Model for Sugar Sweetened Beverage Tax

Impact of Tax on Price of SSBs to Consumers

We assume 100% pass through of the tax over the ten years. Empirical studies of SSB excise taxes in Mexico and France indicate that approximately the full amount of the excise tax is passed on to consumers.16 Short term studies for the local tax in Berkeley indicate less than complete pass-through.3,17,18  The expected percent increase in SSB price was estimated based on the average $0.059/ounce reported in a review of beverage demand elasticity (inflated to $0.0612 in 2014 dollars).19  The price per ounce in this study  was based on a weighted average across stores, restaurants and other sources proportional to the source of consumed SSBs in NHANES 2009-2010.  The price per ounce of SSBs purchased in stores was calculated using weighted averages of two-liter bottles, 12-can cases, and single-serve bottles or cans based on the distribution of package sizes estimated from 2010 Nielsen Homescan data.  The $0.01/ounce tax would result in a 16.3% price increase.  We assumed that the tax rate would be adjusted annually for inflation to maintain the 16.3% price increase throughout the ten-year modeling time frame.

SSB Consumption and Price Elasticity of Demand

We used regionally-adjusted estimates of total SSB consumption in 2015 published in the UCONN Rudd Center Revenue Calculator for Sugar-Sweetened Beverage Taxes to adjust national age, sex, and race/ethnicity-specific consumption data from NHANES 2005-2010 to estimate current SSB consumption levels in Cook County.20 Powell et al reviewed studies published 2007-2012 and estimated a mean own-price elasticity of demand for soft drinks (including regular and diet) of -0.86, ranging from -1.86 to -0.41.21 Recent research concerning the Berkeley tax indicates a 21% reduction in SSB intake among low income populations. 17

Direct effect of change in SSB consumption on change in BMI

We conducted evidence reviews for impact of change in SSB intake on BMI, taking into account any dietary compensation.14 Four large longitudinal studies in adults22-25 of sufficient duration were identified.  The relationship was modeled using a uniform distribution based on the range of the estimates of the effect of a one serving reduction on BMI (from 0.21 to 0.57).  Among youth, a double-blind randomized controlled trial conducted over 18 months found that an additional 8 oz serving of SSBs led to a 1 kg greater weight gain.26 We have no randomized controlled trials documenting impact of a reduction in diet drink intake. Diet drinks are non-caloric, so the model assumes no effect of reduction in diet beverage intake on change in BMI. 

Reach

The intervention reaches all youth and adults ages 2 years and older in Cook County.

Costs

The policy change will involve start up and ongoing labor costs for county tax department administrators.  To implement the intervention, the county government will need to process tax statements and conduct audits.  Businesses will also need to prepare tax statements and participate in audits, which will require labor from private tax accountants.  Cost information was drawn from states with planned or implemented excise taxes on soft drinks.14 The cost and benefit estimates do not include expected tax revenue.

CHOICES Microsimulation Model

The CHOICES microsimulation model for Cook County was used to calculate the costs and effectiveness over ten years (2015–25). This is a stochastic, discrete-time, individual-level microsimulation model designed to simulate the experience of the Cook County population from 2015 to 2025. Cases of obesity prevented were calculated at the end of the model in 2025. The model uses data from: US Census, American Community Survey, Behavioral Risk Factor Surveillance System27, NHANES, National Survey of Children’s Health28, the Medical Expenditure Panel Survey, and multiple national longitudinal studies. We calculated uncertainty intervals using Monte Carlo simulations programmed in Java over one thousand iterations of the model for a population of one million simulated individuals for a population of one million simulated individuals scaled to the county population size.14

Impact on Diabetes

 We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption29  as well as local estimates of diabetes. On average, each 8.5 oz serving per day of SSBs increases the risk of diabetes by 18%. In Cook County, we estimated that the proposed SSB tax would lead to a 7% reduction in diabetes incidence and an estimated 2183 cases of diabetes prevented over a one-year period once the tax reaches its full effect. 

Expected Yearly SSB Tax Revenue

Based on calculations modeled from the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes,20 we estimate a $0.01/ounce tax on sugar sweetened beverages in Cook County could raise approximately $250 million each year. This revenue estimate only includes sugar sweetened beverages, not diet beverages. Since diet beverages are consumed by adults at roughly half the rate of sugar sweetened beverages, the tax revenue will also be higher due to these consumption patterns.

Results

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 10,500 (3,100; 21,600)
Reach
First Year Population Reach* 5,260,000
Effect
Decrease in 12-oz Servings of SSBs per Person in the First Year* 131 (97.1; 173)
Cases of Obesity Prevented* 37,000 (11,100; 75,900)
Years with Obesity Prevented 265,000 (80,700; 546,000)
Life Years Gained 2,840 (780; 5,950)
Deaths Averted* 830(239; 1,740)
Cost
Annual Intervention Cost $896,000($574,000; $1,220.000)
Net Cost (negative means savings) -$222 mill(-$474 mill;-$59.1 mill)
Health Care Cost Savings per $1 Invested $25.8 ($7.14; $63.00)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Equity and Implementation Considerations

Concerns have been raised regarding the impact of the tax on households with low incomes. Because of the elasticity of -0.86, our analyses indicate that households will spend slightly less on SSBs after the tax goes into effect (about 0.2 percent less).  By taxing diet beverages, the policy change makes these non-caloric beverages more expensive, and hence should reduce the attractiveness of this option. In addition, revenue raised from an SSB tax can be reinvested in low income communities; for instance, in Berkeley, CA SSB tax revenue has been allocated for spending on school and community programs, several with a focus on low income or minority populations, to promote healthy eating, diabetes and obesity prevention.30,31

There is opposition from the beverage industry, which spends over $4 billion/year nationwide on marketing.32  Public support for such taxes generally increases with earmarking for prevention activities.33  Relatively small beverage excise taxes are currently applied across many states.  The proposed tax is likely to be sustainable if implemented based on the history of tobacco excise taxes.  There is potential for a shift in social norms of SSB consumption based on evidence from tobacco control tax and regulatory efforts.34

Discussion

We project that the proposed SSB tax policy will prevent thousands of cases of childhood and adult obesity, prevent new cases of diabetes, increase healthy life years and save more in future health care costs than it costs to implement.  Revenue from the tax can be used for education and health promotion efforts.   Implementing the tax could also serve as a powerful social signal to reduce sugar consumption.

 

Results prepared by the CHOICES project at the Harvard T.H. Chan School of Public Health: Gortmaker SL, Long MW, Ward ZJ, Giles CM, Barrett JL, Resch SC, Cradock AL. Funded by The JPB Foundation and Healthy Food America. Results are those of the authors and not the funders. For further information, contact choicesproject@hsph.harvard.edu. 

← Back to Resources

References

  1. American Public Health Association. Taxes on Sugar-Sweetened Beverages. 2012.
  2. Hakim D and Confessore N. Paterson seeks huge cuts and $1 billion in taxes and fees. The New York Times, Jan 19, 2010.
  3. Falbe J, Rojas N, Grummon AH, Madsen KA. Higher Retail Prices of Sugar-Sweetened Beverages 3 Months After Implementation of an Excise Tax in Berkeley, California. Am J Public Health. 2015 Nov;105(11):2194-201.
  4. Leonhardt D. The battle over taxing soda. The New York Times, May 19, 2010.
  5. Wang YC, Bleich SN and Gortmaker SL. Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among US children and adolescents, 1988–2004. Pediatrics. 2008;121(6):e1604-e1614.
  6. Bleich SN, Wang YC, Wang Y and Gortmaker SL. Increasing consumption of sugar-sweetened beverages among US adults: 1988–1994 to 1999—2004. Am J Clin Nutr. 2008;89(1):372-381.
  7. Kit BK, Fakhouri TH, Park S, Nielsen SJ, Ogden CL. Trends in sugar-sweetened beverage consumption among youth and adults in the United States: 1999-2010. Am J Clin Nutr. 2013 Jul;98(1):180-8.
  8. Malik VS, Pan A, Willett WC , Hu FB. Sugar-sweetened beverages and weight gain in children and adults: a systematic review and meta-analysis. Am J Clin Nutr. 2013;98(4):1084-1102.
  9. Chen L, Caballero B, Mitchell DC, et al. Reducing consumption of sugar-sweetened beverages is associated with reduced blood pressure a prospective study among United States adults. Circulation. 2010;121(22):2398-2406.
  10. S. Department of Health and Human Services and U.S. Department of Agriculture. 2015 – 2020 Dietary Guidelines for Americans. 8th Edition. December 2015. Available at http://health.gov/dietaryguidelines/2015/guidelines/.
  11. Chaloupka FJ, Powell LM, and Chriqui JF. Sugar-sweetened beverage taxes and public health: A Research Brief. Minneapolis, MN: Robert Wood Johnson Foundation, Healthy Eating Research, 2009.
  12. Brownell KD, Farley T, Willett WV, et al. The public health and economic benefits of taxing sugar-sweetened beverages. New Engl J Med, 2009;361(16):1599-1605.
  13. Long MW, Gortmaker SL, Ward ZJ, Resch SC, Moodie ML, Sacks G, Swinburn BA, Carter RC, Claire Wang Y. Cost Effectiveness of a Sugar-Sweetened Beverage Excise Tax in the U.S. Am J Prev Med. 2015 Jul;49(1):112-23
  14. Gortmaker SL, Wang YC, Long MW, Giles CM, Ward ZJ, Barrett JL, Kenney EL, Sonneville KR, Afzal AS, Resch SC, Cradock AL. Three Interventions That Reduce Childhood Obesity Are Projected To Save More Than They Cost To Implement. Health Aff (Millwood). 2015 Nov 1;34(11):1932-9.
  15. Institute of Medicine. Local Government Actions to Prevent Childhood Obesity, 2009. National Academies Press: Washington, DC.
  16. Colchero MA, Salgado JC, Unar-Munguía M, Molina M, Ng S, Rivera-Dommarco JA. Changes in Prices After an Excise Tax to Sweetened Sugar Beverages Was Implemented in Mexico: Evidence from Urban Areas. PLoS ONE. 2015;10(12): e0144408.
  17. Falbe J, Thompson HR, Becker CM, Rojas N, McCulloch CE, Madsen KA. Impact of the Berkeley Excise Tax on Sugar-Sweetened Beverage Consumption. Am J Public Health. 2016 Aug 23:e1-e7.
  18. Ng SW, Silver L, Ryan-Ibarra S, Induni M, Hamma C, Poti J , Popkin B. Berkeley Evaluation of Soda Tax (BEST) Study Preliminary Findings. Presentation at the annual meeting of the American Public Health Association, Chicago, IL, November 2015.
  19. Powell LM, Isgor z, Rimkus L, Chaloupka FJ. Sugar-sweetened beverage prices: Estimates from a national sample of food outlets. Chicago, IL: Bridging the Gap Program, Health Policy Center, Institute for Health Research and Policy, University of Illinois at Chicago, 2014. Available at: http://www.bridgingthegapresearch.org/_asset/ww9rpz/btg_SSB_price_brief_FINAL_Jan_2014.pdf.
  20. UCONN Rudd Center. Revenue Calculator for Sugar-Sweetened Beverage Taxes. Jan 2014. Accessed March 2016, http://www.uconnruddcenter.org/revenue-calculator-for-sugar-sweetened-beverage-taxes
  21. Powell LM, Chriqui JF, Khan T, Wada R, Chaloupka FJ. Assessing the potential effectiveness of food and beverage taxes and subsidies for improving public health: a systematic review of prices, demand and body weight outcomes. Obes Rev. 2013;14(2): p. 110-28.
  22. Chen L. Reduction in consumption of sugar-sweetened beverages is associated with weight loss: the PREMIER trial. Am J Clin Nutr. 2009;89(5):1299-306.
  23. Mozaffarian D, Hao T, Rimm ER, Willett WC, Hu FB. Changes in diet and lifestyle and long-term weight gain in women and men. N Engl J Med. 2011;364(25): p. 2392-404.
  24. Palmer JR, Boggs DA, Krishnan S, Hu FB, Singer M, Rosenberg L. Sugar-sweetened beverages and incidence of type 2 diabetes mellitus in African American women. Arch Intern Med. 2008;168(14): p. 1487-92.
  25. Schulze MB, Mason JE, Ludwig D, et al. Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. JAMA. 2004;292(8): p. 927-34.
  26. de Ruyter JC, Olthof MR, Seidell JC, Katan MB. A trial of sugar-free or sugar-sweetened beverages and body weight in Children. N Engl Med. 2012;367(15):1397-1406.
  27. Ward ZJ, Long MW, Resch SC, Gortmaker SL, Cradock AL, Giles C, Hsiao A, Wang YC. Redrawing the US Obesity Landscape: Bias-Corrected Estimates of State-Specific Adult Obesity Prevalence. PLoS One. 2016 Mar 8;11(3):e0150735.
  28. Long MW, Ward ZJ, Resch SC, Cradock AL, Wang YC, Giles CM, Gortmaker SL. State-level estimates of childhood obesity prevalence in the United States corrected for report bias. Int J Obes (Lond). 2016 Aug 30.
  29. Imamura F, O’Connor L, Ye Z, Mursu J, Hayashino Y, Bhupathiraju SN, Forouhi NG. Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes. Br J Sports Med. 2016 Apr;50(8):496-504.
  30. Lynn J. (2016, Jan 20). City council votes to allocate ‘soda tax’ revenue to school district, city organizations. The Daily Californian. Retrieved from http://www.dailycal.org/2016/01/20/city-council-votes-allocate-soda-tax-revenue-school-district-city-organizations/.
  31. Berkeley City Council. (2016, June 14). Berkeley City Council meeting. [Annotated Agenda]. Retrieved from https://www.cityofberkeley.info/Clerk/City_Council/2016/06_June/City_Council__06-14-2016_-_Meeting_Info.aspx.
  32. Federal Trade Commission. Marketing Food to Children and Adolescents: A Review of Industry Expenditures, Activities, and Self-Regulation —A Report to Congress. Washington, DC: Federal Trade Commission, Bureau of Consumer Protection and Bureau of Economics, 2008. https://www.ftc.gov/sites/default/files/documents/reports/marketing-food-children-and-adolescents-review-industry-expenditures-activities-and-self-regulation/p064504foodmktingreport.pdf
  33. Friedman R. Public Opinion Data, 2013: New Haven, CT: Yale Rudd Center for Food Policy & Obesity.
  34. Frieden TR, Mostashari F, Kerker BD, Miller N, Hajat A, Frankel M. Adult tobacco use levels after intensive tobacco control measures: New York City, 2002-2003. Am J Public Health. 2005;95(6):1016-1023.

 

Brief: Cost-Effectiveness of a Sugar-Sweetened Beverage Excise Tax in Albany, CA

The information in this brief is intended to provide educational information on the cost effectiveness of SSB taxes.

Intervention Strategy Description

Implementation of a city excise tax of $0.01/ounce of sugar-sweetened beverages (SSBs), administered by the city department of revenue and based on proposals considered by federal, state, and local governments.1-4

Background

Summary Results of Sugar-Sweetened Beverage Excise Tax in Albany, CASSBs include all beverages with added caloric sweeteners.  The modeled excise tax does not apply to 100% juice, milk products, or artificially-sweetened beverages. Although SSB consumption has declined in recent years, children and adults in the U.S. consume twice as many calories from SSBs compared to 30 years ago.5-7  Randomized trials and longitudinal studies have linked SSB consumption to excess weight gain, diabetes, and cardiovascular disease.  Consumption of SSBs increases the risk of chronic diseases through its impact on BMI and other mechanisms.8,9  The Dietary Guidelines for Americans, 201510 recommends that individuals reduce SSB intake in order to manage their body weight.  Drawing on the success of tobacco taxation and decades of economic research, public health experts have called for higher taxes on SSBs and documented their likely impact.11-14  In 2009, the IOM recommended that local governments implement tax strategies to reduce consumption of “calorie-dense, nutrient-poor foods,” emphasizing SSBs as an apt target for taxation.15

Modeling Framework

Increased city excise tax linked to change in BMI through change in SSB price and consumption.  Logic Model for Sugar Sweetened Beverage Tax

Impact of Tax on Price to Consumers

We assume 100% pass through of the tax over the ten years. Empirical studies in Mexico and France indicate that approximately the full amount of the excise tax is passed on to consumers. 16  Short term studies for the local tax in Berkeley indicate less than complete pass-through. 3,17,18 The expected percent increase in SSB price was estimated based on the average $0.059/ounce reported in a review of beverage demand elasticity (inflated to $0.0612 in 2014 dollars).19  The price per ounce in this study  was based on a weighted average across stores, restaurants and other sources proportional to the source of consumed SSBs in NHANES 2009-2010.  The price per ounce of SSBs purchased in stores was calculated using weighted averages of two-liter bottles, 12-can cases, and single-serve bottles or cans based on the distribution of package sizes estimated from 2010 Nielsen Homescan data.  The $0.01/ounce excise tax would result in a 16.3% price increase.  We assumed that the tax rate would be adjusted annually for inflation to maintain the 16.3% price increase throughout the ten-year modeling time frame.

SSB Consumption and Price Elasticity of Demand

We used regionally-adjusted estimates of total SSB consumption in 2015 published in the UCONN Rudd Center Revenue Calculator for Sugar-Sweetened Beverage Taxes to adjust national age, sex, and race/ethnicity-specific consumption data from NHANES 2005-2010 to estimate current SSB consumption levels in Albany.20 Powell et al reviewed studies published 2007-2012 and estimated a mean own-price elasticity of demand for SSBs weighted by SSB category consumption shares of -1.21, ranging from -3.87 to -0.69. 21 Recent research concerning the Berkeley tax indicates a 21% reduction in SSB intake among low income populations. 17

Direct effect of change in SSB consumption on change in BMI

We conducted evidence reviews for impact of change in SSB intake on BMI, taking into account any dietary compensation.14 Four large longitudinal studies in adults22-25 of sufficient duration were identified.  The relationship was modeled using a uniform distribution based on the range of the estimates of the effect of a one serving reduction on BMI (from 0.21 to 0.57).  Among youth, a double-blind randomized controlled trial conducted over 18 months found that an additional 8 oz serving of SSBs led to a 1 kg greater weight gain.26

Reach

The intervention reaches all youth and adults ages 2 years and older in Albany.

Costs

The policy change will involve start up and ongoing labor costs for municipal tax department administrators.  To implement the intervention, the municipal government will need to process tax statements and conduct audits.  Businesses will also need to prepare tax statements and participate in audits, which will require labor from private tax accountants.  Cost information was drawn from states with planned or implemented excise taxes on soft drinks.14 The cost and benefit estimates do not include expected tax revenue.

CHOICES Microsimulation Model

The CHOICES microsimulation model for Albany was used to calculate the costs and effectiveness over ten years (2015–25). This is a stochastic, discrete-time, individual-level microsimulation model designed to simulate the experience of the Albany population from 2015 to 2025. Cases of obesity prevented were calculated at the end of the model in 2025. The model uses data from: US Census, American Community Survey, Behavioral Risk Factor Surveillance System, 27 NHANES, National Survey of Children’s Health, 28 the Medical Expenditure Panel Survey, and multiple national longitudinal studies. We calculated uncertainty intervals using Monte Carlo simulations programmed in Java over one thousand iterations of the model for a population of simulated individuals representing the city population size.14

Impact on Diabetes

 We estimated the impact of the tax-induced reduction in SSB intake on diabetes incidence for adults ages 18-79 years using a published meta-analysis of the relative risk of developing diabetes due to a one-serving change in SSB consumption29 as well as local estimates of diabetes. On average, each 8.5 oz serving of SSBs per day increases the risk of diabetes by 18%. In Albany, we estimated that the proposed SSB excise tax would lead to a 3% reduction in diabetes incidence – an estimated 3 cases of diabetes prevented – over a one-year period once the tax reaches its full effect.

Expected Yearly SSB Tax Revenue

Based on calculations modeled from the Rudd Center Revenue Calculator for Sugar Sweetened Beverage Taxes,20 we estimate a $0.01/ounce excise tax in Albany could raise approximately $560,000 each year. 

Results

Metric Results
Cost/Effect
Cost per Year with Obesity Prevented Cost-saving
Cost per Quality Adjusted Life Year (QALY) Gained Cost-saving
Cost per Case of Obesity Prevented Cost-saving
QALYs Gained 25 (7; 71)
Reach
First Year Population Reach* 19,100
Effect
Decrease in 12-oz Serving of SSBs per Person in the First Year* 54.6 (32.0; 114.5)
Cases of Obesity Prevented* 92 (28; 250)
Years with Obesity Prevented 640 (197; 1,760)
Life Years Gained 6 (0; 24)
Deaths Averted* 2 (0; 7)
Cost
Annual Intervention Cost $3,220 ($2,072; $4,380)
Net Cost (negative means savings) -$799,000 (-$2.28 million; -$205,600)
Health Care Cost Savings per $1 Invested $25.80 ($6.80; $78.50)

All metrics reported for the population over a 10-year period and discounted at 3% per year, unless otherwise noted.
*Not discounted.

Equity and Implementation Considerations

Concerns have been raised regarding the impact of the tax on households with low incomes. Because of the elasticity of -1.21, our analyses clearly indicate that households will spend less on SSBs after the tax goes into effect, providing disposable income for other purchases. In addition, we project that greater health benefits will accrue to low-income consumers who on average consume more SSBs than higher income consumers; the same is true for a number of racial and ethnic groups. Disparities in obesity outcomes should thus decrease following implementation of the proposed tax. In addition, revenue raised from an SSB tax can be reinvested in low income communities; for instance, in Berkeley, CA SSB tax revenue has been allocated for spending on school and community programs, several with a focus on low income or minority populations, to promote healthy eating, diabetes and obesity prevention. 30,31

There is opposition from the beverage industry, which spends over $4 billion/year nationwide on marketing.32  Public support for such taxes generally increases with earmarking for prevention activities.33  Relatively small beverage excise taxes are currently applied across many states.  The proposed tax is likely to be sustainable if implemented based on the history of tobacco excise taxes.  There is potential for a shift in social norms of SSB consumption based on evidence from tobacco control tax and regulatory efforts.34

Discussion

We project that the proposed SSB excise tax policy will prevent almost one hundred cases of childhood and adult obesity, prevent new cases of diabetes, increase healthy life years and save more in future health care costs than it costs to implement. Revenue from the tax can be used for education and health promotion efforts.   Implementing the tax could also serve as a powerful social signal to reduce sugar consumption.

 

Results prepared by the CHOICES project at the Harvard T.H. Chan School of Public Health: Gortmaker SL, Long MW, Ward ZJ, Giles CM, Barrett JL, Resch SC, Cradock AL. Funded by The JPB Foundation and Healthy Food America. Results are those of the authors and not the funders. For further information, contact choicesproject@hsph.harvard.edu. 

← Back to Resources

References

  1. American Public Health Association. Taxes on Sugar-Sweetened Beverages. 2012.
  2. Hakim D and Confessore N. Paterson seeks huge cuts and $1 billion in taxes and fees. The New York Times, Jan 19, 2010.
  3. Falbe J, Rojas N, Grummon AH, Madsen KA. Higher Retail Prices of Sugar-Sweetened Beverages 3 Months After Implementation of an Excise Tax in Berkeley, California. Am J Public Health. 2015 Nov;105(11):2194-201.
  4. Leonhardt D. The battle over taxing soda. The New York Times, May 19, 2010.
  5. Wang YC, Bleich SN, and Gortmaker SL. Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among US children and adolescents, 1988–2004. Pediatrics. 2008;121(6):e1604-e1614.
  6. Bleich SN, Wang YC, Wang Y and Gortmaker SL. Increasing consumption of sugar-sweetened beverages among US adults: 1988–1994 to 1999—2004. Am J Clin Nutr. 2008;89(1):372-381.
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