Topic: Sugary Drinks

A Sugar-Sweetened Beverage Excise Tax in California: Projected Benefits for Population Obesity and Health Equity

Sugary drinks

This study evaluates the cost-effectiveness of a hypothetical 2-cent-per-ounce excise tax in California (CA) and implications for population health and health equity.

Lee MM, Barrett JL, Kenney EL, Gouck J, Whetstone L, McCulloch SM, Cradock AL, Long MW, Ward ZJ, Rohrer B, Williams DR, Gortmaker SL. A Sugar-Sweetened Beverage Excise Tax in California: Projected Benefits for Population Obesity and Health Equity. Am J Prev Med. 2024 Jan;66(1):94-103. doi: 10.1016/j.amepre.2023.08.004. Epub 2023 Aug 6. PubMed PMID: 37553037;

Abstract

Introduction

Amid the successes of local sugar-sweetened beverage (SSB) taxes, interest in state-wide policies has grown. This study evaluated the cost-effectiveness of a hypothetical 2-cent-per-ounce excise tax in California (CA) and implications for population health and health equity.

Methods

Using the CHOICES microsimulation model, tax impacts on health, health equity, and cost-effectiveness over ten years in CA were projected, both overall and stratified by race/ethnicity and income. Expanding upon prior models, differences in the effect of SSB intake on weight by BMI category were incorporated. Costing was performed in 2020, and analyses were conducted in 2021-2022.

Results

The tax is projected to save $4.55b in healthcare costs, prevent 266,000 obesity cases in 2032, and gain 114,000 QALYs. Cost-effectiveness metrics, including the cost/QALY gained, were cost-saving. Spending on SSBs was projected to decrease by $33/adult and by $26/child in the first year overall. Reductions in obesity prevalence for Black and Hispanic Californians were 1.8 times larger compared to White Californians, and reductions for adults with lowest incomes (<130%FPL) were 1.4 times the reduction among those with highest incomes (>350%FPL). The tax is projected to save $112 in obesity-related healthcare costs per $1 invested.

Conclusions

A state-wide SSB tax in California would be cost saving and lead to reductions in obesity and improved SSB-related health equity, and lead to overall improvements in population health. The policy would generate more than $1.6 billion in state tax revenue annually that can also be used to improve health equity.


Funding

This work was supported by The JPB Foundation (Grant No. 1085), the National Institutes of Health (Grant No. R01HL146625), the Centers for Disease Control and Prevention (CDC) (Grant No. U48DP006376). This work is solely the responsibility of the authors and does not represent official views of the CDC or other agencies. The findings and conclusions in this article are those of the author(s) and do not necessarily represent the views or opinions of the California Department of Public Health or the California Health and Human Services Agency. The sponsors had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

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Brief: Creating Healthier Afterschool Environments (OSNAP) in Boston, MA

Three kids at the playground

The information in this brief is intended only to provide educational information.

This brief summarizes a CHOICES Learning Collaborative Partnership model examining the implementation of the Out of School Nutrition and Physical Activity (OSNAP) initiative that helps afterschool programs improve practices and policies that increase physical activity and consumption of healthy snacks.

The Issue

Every child should have opportunities to grow up healthy. Regular physical activity, healthy eating, and adequate hydration can help children maintain a healthy weight. Over 6,000 students in kindergarten to fifth grade participate in afterschool programs in Boston.1 These educational settings can provide essential opportunities for children to learn healthy eating habits and promote physical activity and wellness. However, not all programs offer the same opportunities for healthy eating and physical activity.2 Helping more afterschool programs adopt policies and practices that incorporate more physical activity, healthier snacks, and improved water access during program time can help ensure that all children in Boston’s afterschool programs have opportunities to grow up healthy.

About Creating Healthier Afterschool Environments

OSNAP is a proven initiative implemented in multiple communities that helps afterschool programs create environments that promote increased physical activity and consumption of healthy snacks.3-6 Creating healthier afterschool environments can contribute to higher quality afterschool programming. To implement this initiative, the Boston Public Health Commission would provide professional development opportunities for afterschool program leaders serving students in grades K-5. Afterschool staff leaders would participate in three learning collaborative sessions and receive technical assistance to assess7 and modify their programs’ practices and policies3 to meet the OSNAP nutrition and physical activity goals. The Boston Public Health Commission would supply program leaders with materials to support implementation and offer continuing education units for their participation.

Comparing Costs and Outcomes

CHOICES cost-effectiveness analysis compared the costs and outcomes over a 10-year time horizon (2020-2029) of implementing the OSNAP program with the costs and outcomes associated with not implementing the program.

Creating healthier afterschool environments is an investment in the future. By the end of 2029:
If creating healthier afterschool environments (OSNAP) was implemented in Boston, 10,800 children would be reached over 10 years, $34,100 would be saved in health care costs, and it would cost $18.30 per child per year to implement.

Conclusions and Implications

Opportunities for physical activity and access to healthy foods in afterschool programs are important to parents2 and can help enhance the quality of afterschool programing. Over 10 years, this strategy could train more than 600 afterschool teachers and directors. By equipping afterschool leaders with these skills and resources, afterschool programs could adopt healthier practices and policies and we project that 10,800 children would benefit from more physical activity and improved diet. We project that 37 cases of obesity would be prevented and $34,100 in healthcare costs related to excess weight would be saved in 2029. We expect this strategy would cost $18.30 per child per year to implement in Boston and is projected to be cost-effective at commonly accepted thresholds8 based on net population health improvement related to excess weight ($72,100 per quality-adjusted life year gained).

In addition to promoting healthy weight, this strategy may also support children’s health in other ways. Regular physical activity, healthy eating, and adequate hydration can improve children’s mental and emotional well-being and their heart, lung, and bone health.9 These healthy behaviors can also strengthen students’ attention, memory,10,11 and cognitive functioning,10 all important components for learning and academic performance. Incorporating physical activity and healthy snacks in afterschool programs can help children nurture healthy habits and lay a strong foundation for overall health and well-being.

This strategy builds upon Boston Public Health Commission’s demonstrated success where, in 2015, more than 120 programs took steps to improve their screen time, physical activity, and nutrition practices through OSNAP, creating higher quality afterschool programs across Boston.11 Broader implementation could reach all afterschool programs in Boston, improving practices and policies that promote increased physical activity and consumption of healthy snacks, furthering the Boston Public Health Commission’s goal of creating policy and systems changes in childcare to promote the health of all Boston residents.

References

  1. Boston AfterSchool & Beyond. SY 21-22 Programs. In. Boston, MA: Boston AfterSchool & Beyond; 2021.

  2. Kids on the Move: Afterschool Programs Promoting Healthy Eating and Physical Activity. Washington, D.C.: America After 3pm, Afterschool Alliance; 2015.

  3. Kenney EL, Giles CM, deBlois ME, Gortmaker SL, Chinfatt S, Cradock AL. Improving nutrition and physical activity policies in afterschool programs: results from a group-randomized controlled trial. Prev Med. 2014;66:159-166. doi:10.1016/j.ypmed.2014.06.011

  4. Cradock AL, Barrett JL, Giles CM, et al. Promoting Physical Activity With the Out of School Nutrition and Physical Activity (OSNAP) Initiative: A Cluster-Randomized Controlled Trial. JAMA Pediatr. 2016;170(2):155-162.

  5. Lee RM, Giles CM, Cradock AL, Emmons KM, Okechukwu C, Kenney EL, Thayer J, Gortmaker SL. Impact of the Out-of-School Nutrition and Physical Activity (OSNAP) Group Randomized Controlled Trial on Children’s Food, Beverage, and Calorie Consumption among Snacks Served. J Acad Nutr Diet. 2018 Aug;118(8):1425-1437. doi: 10.1016/j.jand.2018.04.011.

  6. Lee RM, Barrett JL, Daly JG, Mozaffarian RS, Giles CM, Cradock AL, Gortmaker SL. Assessing the effectiveness of training models for national scale-up of an evidence-based nutrition and physical activity intervention: a group randomized trial. BMC Public Health. 2019 Nov 28;19(1):1587. doi: 10.1186/s12889-019-7902-y.

  7. Lee RM, Emmons KM, Okechukwu CA, Barrett JL, Kenney EL, Cradock AL, Giles CM, deBlois ME, Gortmaker SL. Validity of a practitioner-administered observational tool to measure physical activity, nutrition, and screen time in school-age programs. Int J Behav Nutr Phys Act. 2014 Nov 28;11:145. doi: 10.1186/s12966-014-0145-5.

  8. Neumann PJ, Cohen JT, Weinstein MC. Updating cost-effectiveness–the curious resilience of the $50,000-per-QALY threshold. New England Journal of Medicine. 2014 Aug 28;371(9):796-7. DOI: 10.1056/NEJMp1405158. PMID: 25162885.

  9. Health Benefits of Physical Activity for Children. Centers for Disease Control and Prevention. https://www.cdc.gov/physicalactivity/basics/adults/health-benefits-of-physical-activity-for-children.html. Published Jan 12, 2022. Updated 2022-01-12T05:06:09Z. Accessed Dec 7, 2022.

  10. Childhood Nutrition Facts. Centers for Disease Control and Prevention. https://www.cdc.gov/healthyschools/nutrition/facts.htm. Published 2022. Updated 2022-08-05T03:49:26Z. Accessed Dec 12, 2022.

  11. Blanding N. Afterschool Programs in Boston, MA, Expand Opportunties for Obesity Prevention. Centers for Disease Control and Prevention; 2016. http://nccd.cdc.gov/nccdsuccessstories

Suggested Citation:

Carter S, Bovenzi M, Clarke J, Bolton AA, Reiner JF, Barrett JL, Cradock AL, Gortmaker SL. Boston, MA: Creating Healthier Afterschool Environments (OSNAP) {Issue Brief}. Boston Public Health Commission, Massachusetts, and the CHOICES Learning Collaborative Partnership at the Harvard T.H. Chan School of Public Health, Boston, MA; July 2023.

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 Boston Public Health Commission through participation in the Childhood Obesity Intervention Cost-Effectiveness Study (CHOICES) Learning Collaborative Partnership. This brief is intended for educational use only. This work is supported by The JPB Foundation and the Centers for Disease Control and Prevention (U48DP006376). The findings and conclusions are those of the author(s) and do not necessarily represent the official position of the Centers for Disease Control and Prevention or other funders.

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Fact Sheet: Sugary Drink Consumption

Mom giving glass of water to young daughter

The information provided here is intended to be used for educational purposes. Links to other resources and websites are intended to provide additional information aligned with this educational purpose.

Sugary drinks include regular soda, fruit drinks with less than 100% juice, sweetened water, sports and energy drinks, and coffees and teas with added sugars.1,2 

  • Diet drinks, alcohol, coffee, and teas without added sugars and flavored milks that contain 50% dairy or more are usually not considered sugary drinks.3 
  • On average, US adults and children consume nearly 150 calories a day from sugary drinks, or about 6-12% of their daily caloric needs.2,4 

Sugary drinks account for nearly half of the total added sugars in a typical American diet.About half of adults and over 60% of kids consume a sugary drink on any given day.2-5 

  • Despite some decline in consumption in recent years, both adults and kids in the US continue to consume more sugary drinks and added sugars than recommended.1,6,7 Sugary drinks are often cheaper than bottled water, making them an attractive option when tap water is not safe to drink.8,9 
  • Beverage companies focus advertising10,11 and retail marketing12 efforts on African Americans and Hispanic Americans, as well as on children.13 
  • Research shows that African Americans and Hispanic Americans drink more sugary drinks compared to non-Hispanic White Americans.4,14,15 Among households with young children, those with lower incomes purchased more sweetened fruit drinks compared to households with higher incomes.16 

There is strong evidence suggesting that drinking too many sugary drinks substantially increases the risk of gaining excess weight and obesity,17,18 and developing chronic diseases including diabetes, cardiovascular disease, tooth decay, and cavities.19-22 

Experts recommend drinking water instead of sugary drinks.23 There are many ways to make drinking water more available: 

  • At home:
    • Be a model to kids by limiting or eliminating your own consumption of sugary drinks.
    • Offer drinking water or other non-sugary options.
  • At school:
    • Teach students about the amount of sugar in common beverages and the importance of reducing intake for improved health outcomes.24,25
    • Implement federal food and beverage standards that prohibit sales of unhealthy options like sugary drinks in schools.26,27
    • Increase access to and promotion of free, safe drinking water in schools.28
  • In your city, county, or state:
    • Limit sales of sugary drinks on city property.29
    • Create healthier out-of-school time environments by training staff to adopt a healthy beverage policy in their programs.30,31
    • Implement a sugary drink excise tax to discourage consumption, as many US jurisdictions have successfully done.32,33 This is projected to be a cost-saving strategy that can improve population health and health equity.

Additional Resources

References

  1. U.S. Department of Health and Human Services, U.S. Department of Agriculture. 2015-2020 Dietary Guidelines for Americans. U.S. Department of Health and Human Services and U.S. Department of Agriculture; 2015:144. Accessed November 29, 2021. https://health.gov/sites/default/files/2019-09/2015-2020_Dietary_Guidelines.pdf
  2. Rosinger A, Herrick K, Gahche J, Park S. Sugar-sweetened Beverage Consumption Among U.S. Youth, 2011-2014. NCHS Data Brief. 2017;(271):1-8.
  3. City of Philadelphia Department of Revenue. What is subject to the tax. City of Philadelphia. Published November 8, 2019. Accessed November 29, 2021. https://www.phila.gov/services/payments-assistance-taxes/business-taxes/philadelphia-beverage-tax/what-is-subject-to-the-tax
  4. Rosinger A, Herrick K, Gahche J, Park S. Sugar-sweetened Beverage Consumption Among U.S. Adults, 2011-2014. NCHS Data Brief. 2017;(270):1-8.
  5. Centers for Disease Control and Prevention. Get the Facts: Sugar-Sweetened Beverages and Consumption. Centers for Disease Control and Prevention. Published March 11, 2021. Accessed November 29, 2021. https://www.cdc.gov/nutrition/data-statistics/sugar-sweetened-beverages-intake.html
  6. Vercammen KA, Moran AJ, Soto MJ, Kennedy-Shaffer L, Bleich SN. Decreasing Trends in Heavy Sugar-Sweetened Beverage Consumption in the United States, 2003 to 2016. J Acad Nutr Diet. 2020;120(12):1974-1985.e5. doi:10.1016/j.jand.2020.07.012
  7. 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. 2009;89(1):372-381. doi:10.3945/ajcn.2008.26883
  8. Blecher E. Global Trends in the Affordability of Sugar-Sweetened Beverages, 1990–2016. Prev Chronic Dis. 2017;14. doi:10.5888/pcd14.160406
  9. Brooks CJ, Gortmaker SL, Long MW, Cradock AL, Kenney EL. Racial/Ethnic and Socioeconomic Disparities in Hydration Status Among US Adults and the Role of Tap Water and Other Beverage Intake. Am J Public Health. 2017;107(9):1387-1394. doi:10.2105/AJPH.2017.303923
  10. Powell LM, Wada R, Kumanyika SK. Racial/Ethnic and Income Disparities in Child and Adolescent Exposure to Food and Beverage Television Ads across U.S. Media Markets. Health Place. 2014;29:124-131. doi:10.1016/j.healthplace.2014.06.006
  11. Cassady DL, Liaw K, Miller LMS. Disparities in Obesity-Related Outdoor Advertising by Neighborhood Income and Race. J Urban Health. 2015;92(5):835-842. doi:10.1007/s11524-015-9980-1
  12. Adjoian T, Dannefer R, Sacks R, Van Wye G. Comparing Sugary Drinks in the Food Retail Environment in Six NYC Neighborhoods. J Community Health. 2014;39(2):327-335. doi:10.1007/s10900-013-9765-y
  13. Smith R, Kelly B, Yeatman H, Boyland E. Food Marketing Influences Children’s Attitudes, Preferences and Consumption: A Systematic Critical Review. Nutrients. 2019;11(4):875. doi:10.3390/nu11040875
  14. Kit BK, Fakhouri THI, 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;98(1):180-188. doi:10.3945/ajcn.112.057943
  15. Bleich SN, Vercammen KA, Koma JW, Li Z. Trends in Beverage Consumption Among Children and Adults, 2003-2014. Obes Silver Spring Md. 2018;26(2):432-441. doi:10.1002/oby.22056
  16. Choi YY, Andreyeva T, Fleming-Milici F, Harris JL. U.S. Households’ Children’s Drink Purchases: 2006–2017 Trends and Associations With Marketing. Am J Prev Med. 2021;0(0). doi:10.1016/j.amepre.2021.06.013
  17. Ludwig DS, Peterson KE, Gortmaker SL. Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis. Lancet Lond Engl. 2001;357(9255):505-508. doi:10.1016/S0140-6736(00)04041-1
  18. Hu FB. Resolved: there is sufficient scientific evidence that decreasing sugar-sweetened beverage consumption will reduce the prevalence of obesity and obesity-related diseases. Obes Rev. 2013 Aug;14(8):606-19.
  19. Reilly JJ, Kelly J. Long-term impact of overweight and obesity in childhood and adolescence on morbidity and premature mortality in adulthood: systematic review. Int J Obes 2005. 2011;35(7):891-898. doi:10.1038/ijo.2010.222
  20. Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration (BMI Mediated Effects), Lu Y, Hajifathalian K, et al. Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1·8 million participants. Lancet Lond Engl. 2014;383(9921):970-983. doi:10.1016/S0140-6736(13)61836-X
  21. Singh GM, Danaei G, Farzadfar F, et al. The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis. PLOS ONE. 2013;8(7):e65174. doi:10.1371/journal.pone.0065174
  22. World Cancer Research Fund, American Institute for Cancer Research. Food, Nutrition, Physical Activity, and the Prevention of Cancer: A Global Perspective.; 2008:537. Accessed November 29, 2021. http://choicereviews.org/review/10.5860/CHOICE.45-5024
  23. Water. The Nutrition Source, Harvard T.H. Chan School of Public Health. Accessed September 2, 2022. https://www.hsph.harvard.edu/nutritionsource/water
  24. Rauba J, Tahir A, Milford B, et al. Reduction of Sugar-Sweetened Beverage Consumption in Elementary School Students Using an Educational Curriculum of Beverage Sugar Content. Glob Pediatr Health. 2017;4:2333794X17711778. doi:10.1177/2333794X17711778
  25. Cheung PLYH, Dart H, Kalin S, Otis B, Gortmaker SL. Lesson 19: Beverage Buzz: Sack the Sugar; Lesson 20: Go for H2O. In: Eat Well and Keep Moving. 3rd Edition Champaign, Illinois: Human Kinetics Press, 2016.
  26. Centers for Disease Control and Prevention. Competitive Foods and Beverages in U.S. Schools, A State Policy Analysis.; 2012:32. Accessed November 29, 2021. https://www.cdc.gov/healthyschools/nutrition/pdf/compfoodsbooklet.pdf
  27. Muckelbauer R, Gortmaker SL, Libuda L, et al. Changes in water and sugar-containing beverage consumption and body weight outcomes in children. Br J Nutr. 2016;115(11):2057-2066. doi:10.1017/S0007114516001136
  28. Kenney EL, Cradock AL, Long MW, Barrett JL, Giles CM, Ward ZJ, Gortmaker SL. Cost-Effectiveness of Water Promotion Strategies in Schools for Preventing Childhood Obesity and Increasing Water Intake. Obesity (Silver Spring). 2019 Dec;27(12):2037-2045. doi: 10.1002/oby.22615. PMID: 31746555.
  29. Cradock AL, Kenney EL, McHugh A, Conley L, Mozaffarian RS, Reiner JF, et al. Evaluating the Impact of the Healthy Beverage Executive Order for City Agencies in Boston, Massachusetts, 2011–2013. Prev Chronic Dis 2015;12:140549. doi:10.5888/pcd12.140549
  30. Kenney EL, Austin SB, Cradock AL, Giles CM, Lee RM, Davison KK, Gortmaker SL. Identifying sources of children’s consumption of junk food in Boston afterschool programs, April-May 2011. Preventing Chronic Disease. 2014 Nov 20;11:E205.
  31. Salas TM, Meinen A, Kim H, McCulloch S, Reiner J, Barrett J, Cradock AL. Wisconsin: Supporting Healthy Beverage Choices in Out-of-School Time Programs {Issue Brief}. Wisconsin Department of Health Services & University of Wisconsin-Madison, Madison, WI, and the CHOICES Learning Collaborative Partnership at the Harvard T.H. Chan School of Public Health, Boston, MA; May 2021. For more information, please visit www.choicesproject.org
  32. Krieger J, Bleich SN, Scarmo S, Ng SW. Sugar-Sweetened Beverage Reduction Policies: Progress and Promise. Annu Rev Public Health. 2021 Apr 1;42:439-461. doi: 10.1146/annurev-publhealth-090419-103005. Epub 2021 Nov 30. PMID: 33256536.
  33. Gortmaker SL, Bleich SN, Kenney EL, Barrett JL, Ward ZJ, Long MW, Cradock AL. Cost-Effective Strategies to Prevent Obesity and Improve Health Equity. Harvard T.H. Chan School of Public Health, 2021. https://choicesproject.org/publications/cost-effective-strategies-health-equity

Suggested Citation

Get the Facts: Sugary Drink Consumption. Prevention Research Center on Nutrition and Physical Activity Team at the Harvard T.H. Chan School of Public Health, Boston, MA; January 2023. 

Funding

This work is supported by The JPB Foundation and the Centers for Disease Control and Prevention (U48DP006376). The findings and conclusions are those of the author(s) and do not necessarily represent the official position of the Centers for Disease Control and Prevention or other funders. The information provided here is intended to be used for educational purposes. Links to other resources and websites are intended to provide additional information aligned with this educational purpose. 

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Fact Sheet: Low- and No-Calorie Sweetened Drinks

Low-calorie soda

The information provided here is intended to be used for educational purposes. Links to other resources and websites are intended to provide additional information aligned with this educational purpose.

Low- and no-calorie sweeteners are man-made sweeteners that are much sweeter than regular sugar but have few to no calories.1

  • Low- and no-calorie sweeteners are sometimes called artificial sweeteners, high-intensity sweeteners, and non-nutritive sweeteners.1-3

  • There are 19 different low- and no-calorie sweeteners,4 six of which are approved by the US Food and Drug Administration as food additives: advantame, aspartame, acesulfame potassium, neotame, saccharin, and sucralose.1

  • Two other kinds of low- and no-calorie sweeteners—steviol glycosides from the stevia plant and extracts from the monk fruit—are considered “Generally Recognized as Safe,” which allows them to be used in food and drinks.2 

Data from 2009-2012 show that about 19% of kids and 31% of adults in the US drink beverages made with low- and no-calorie sweeteners.5

  • This is a big increase from 1999-2000, when only 6% of kids and about 19% of adults were drinking these beverages.6 

  • During both of these time periods, non-Hispanic White Americans were more likely to report drinking these beverages than non-Hispanic African Americans and Hispanic Americans as well as those with a high income compared to those with a middle or low income.5,6

There are mixed findings about the health effects of drinking low- and no-calorie sweetened drinks and multiple concerning studies.7,8 Ongoing research is looking at long-term impacts on the body for kids and adults.9 

  • There’s some good evidence that suggests replacing sugary drinks (like soda) with low- and no-calorie sweetened drinks is a strategy to avoid excess weight gain in children.10 

  • However, experts suggest replacing sugary and artificially-sweetened drinks with water, if possible. Water is an excellent beverage choice, especially for kids. It’s perfect for hydration, very affordable, has no calories, and fluoridated water helps protect teeth.11

 


Additional Resources

References

  1. Food and Drug High-Intensity Sweeteners. FDA. Published online February 20, 2020. Accessed November 29, 2021. https://www.fda.gov/food/food-additives-petitions/high-intensity-sweeteners
  2. USDA Food and Nutrition Information Nutritive and Nonnutritive Sweetener Resources. National Agricultural Library. Accessed November 29, 2021. https://www.nal.usda.gov/human-nutrition-and-food-safety/food-composition/sweeteners
  3. Center for Science in the Public Interest. Trends in Low Calorie Sweetener Consumption in the United States. CSPI. September 2021. Accessed June 9, 2022. https://www.cspinet.org/resource/trends-low-calorie-sweetener-consumption-united-states
  4. American Heart Non-Nutritive Sweeteners (Artificial Sweeteners). www.heart.org. Published April 16, 2018. Accessed November 29, 2021. https://www.heart.org/en/healthy-living/healthy-eating/eat-smart/sugar/nonnutritive-sweeteners-artificial-sweeteners
  5. Sylvetsky AC, Jin Y, Clark EJ, Welsh JA, Rother KI, Talegawkar Consumption of Low-Calorie Sweeteners among Children and Adults in the United States. J Acad Nutr Diet. 2017;117(3):441-448.e2. doi:10.1016/j.jand.2016.11.004
  6. Sylvetsky AC, Welsh JA, Brown RJ, Vos Low-calorie sweetener consumption is increasing in the United States123. Am J Clin Nutr. 2012;96(3):640-646. doi:10.3945/ajcn.112.034751
  7. Swithers SE. Artificial sweeteners are not the answer to childhood obesity. Appetite. 2015 Oct;93:85-90. doi: 10.1016/j.appet.2015.03.027. Epub 2015 Mar 28.
  8. Yin J, Zhu Y, Malik V, Li X, Peng X, Zhang FF, Shan Z, Liu L. Intake of Sugar-Sweetened and Low-Calorie Sweetened Beverages and Risk of Cardiovascular Disease: A Meta-Analysis and Systematic Review. Adv Nutr. 2021 Feb 1;12(1):89-101. doi: 10.1093/advances/nmaa084
  9. Johnson RK, Lichtenstein AH, Anderson CAM, et Low-Calorie Sweetened Beverages and Cardiometabolic Health: A Science Advisory From the American Heart Association. Circulation. 2018;138(9):e126-e140. doi:10.1161/CIR.0000000000000569
  10. de Ruyter JC, Olthof MR, Seidell JC, Katan A Trial of Sugar-free or Sugar-Sweetened Beverages and Body Weight in Children. N Engl J Med. 2012;367(15):1397-1406. doi:10.1056/NEJMoa1203034
  11. NIH Office of Dietary Fluoride. Published March 29, 2021. Accessed November 29, 2021. https://ods.od.nih.gov/factsheets/Fluoride-HealthProfessional

Suggested Citation

Get the Facts: Low- and No-Calorie Sweetened Drinks. Prevention Research Center on Nutrition and Physical Activity Team at the Harvard T.H. Chan School of Public Health, Boston, MA; November 2022.

Funding

This work is supported by The JPB Foundation and the Centers for Disease Control and Prevention (U48DP006376). The findings and conclusions are those of the author(s) and do not necessarily represent the official position of the Centers for Disease Control and Prevention or other funders. The information provided here is intended to be used for educational purposes. Links to other resources and websites are intended to provide additional information aligned with this educational purpose. 

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Strategy Profile: Creating Healthier Afterschool Environments

Young boy eating a green apple

The information in this resource is intended only to provide educational information. This profile describes the estimated benefits, activities, resources, and leadership needed to implement a strategy to improve child health. This information can be useful for planning and prioritization purposes.

  • Creating healthier afterschool environments is a strategy to improve nutrition and physical activity policies & practices through the Out of School Nutrition and Physical Activity (OSNAP) initiative for children in grades K-5 attending state-administered 21st Century Learning afterschool programs.

What population benefits?

Children in grades K-5 attending state-administered 21st Century Learning afterschool programs.

What are the estimated benefits?

Relative to not implementing the strategy
Increase vigorous physical activity and improve nutritional quality of snacks and beverages offered in afterschool programs, and, in turn, promote healthy child weight.

What activities and resources are needed?

Activities Resources Who Leads?
Issue regulations to improve nutrition and physical activity policies and practices in afterschool programs • Time to issue and communicate regulations State government
Provide training and technical assistance to regional Healthy Afterschool trainers on how to lead learning collaborative sessions • Time for state Healthy Afterschool coordinator to lead trainings
• Time for regional Healthy Afterschool trainers to be trained and receive technical assistance
• Travel costs
• Training material costs
State healthy afterschool coordinator
Conduct regional learning collaboratives with afterschool program staff including training and technical assistance on goals and implementation activities • Time for regional Healthy Afterschool trainers to lead learning collaboratives and provide technical assistance
• Time for afterschool program staff to attend learning collaboratives and receive technical assistance
• Training material costs
• Travel costs
Regional healthy afterschool trainer
Assess and implement actions to change program practices to meet Healthy Afterschool standards • Time for afterschool program staff to conduct program practice self-assessments and implement changes at their program
• Increase in food costs to provide snacks in compliance with nutrition standards to children attending Healthy Afterschool programs
Afterschool program director
Develop CEU-accredited course for local program staff • Cost to create a CEU-accredited course State healthy afterschool coordinator
Provide educational materials and incentives to local program staff • Material and incentive costs State government
Monitor compliance to ensure afterschool programs are following programmatic requirements • Time for state monitoring and compliance staff to monitor compliance
• Travel costs
State government monitoring and compliance staff
Establish a Healthy Afterschool recognition and monitoring website • Time to create and maintain website State government website developer
Strategy Modification

This strategy could be modified to benefit children who participate in out-of-school programs administered by other organizations (e.g., YMCA or Boys and Girls Club of America). With this modification, the activities necessary to carry out the voluntary recognition program may not be included (e.g., issuing regulations, creating a healthy afterschool nutrition website, and monitoring compliance). With this modification, the impact on health is expected to be similar, and the impact on reach and cost may vary.


FOR ADDITIONAL INFORMATION

Cradock AL, Barrett JL, Kenney EL, Giles CM, Ward ZJ, Long MW, Resch SC, Pipito AA, Wei ER, Gortmaker SL. Using cost-effectiveness analysis to prioritize policy and programmatic approaches to physical activity promotion and obesity prevention in childhood. Prev Med. 2017 Feb;95 Suppl: S17-S27. doi: 10.1016/j.ypmed.2016.10.017. Supplemental Appendix with strategy details available at: https://ars.els-cdn.com/ content/image/1-s2.0-S0091743516303395-mmc1.docx


Suggested Citation

CHOICES Strategy Profile: Creating Healthier Afterschool Environments. CHOICES Project Team at the Harvard T.H. Chan School of Public Health, Boston, MA; May 2023.

Funding

This work is supported by The JPB Foundation and the Centers for Disease Control and Prevention (U48DP006376). The information provided here is intended to be used for educational purposes. Links to other resources and websites are intended to provide additional information aligned with this educational purpose. The findings and conclusions are those of the author(s) and do not necessarily represent the official position of the Centers for Disease Control and Prevention or other funders.

Adapted from the TIDieR (Template for Intervention Description and Replication) Checklist

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Report: Sugary Drink Excise Tax in Minnesota

Young girl drinking a glass of water

The information in this report is intended to provide educational information on the cost-effectiveness of sugary drink excise taxes.

Executive Summary

Continually rising rates of obesity represent one of the greatest public health threats facing the United States. Obesity has been linked to excess consumption of sugary drinks. Federal, state, and local governments have considered implementing excise taxes on sugary drinks to reduce consumption, reduce obesity, and provide a new source of government revenue.1-4 Seven cities in the United States have implemented sugary drink taxes.

We modeled potential implementation of a state excise tax in Minnesota, a tax on sugary drinks only, at a tax rate of $0.02/ounce. Powdered drink mixes were modeled at a tax rate of $0.0025 per reconstituted fluid ounce according to the package instructions.

The tax is projected to be cost-saving and result in lower levels of sugary drink consumption, thousands of cases of obesity prevented, more than $160 million dollars in health care cost savings, and improved health equity. The tax is projected to save $45.60 in health care costs per dollar invested.

Background 

Although consumption of sugary drinks (defined as all drinks with added caloric sweeteners) has declined in recent years, adolescents and young adults in the United States consume more sugar than the Dietary Guidelines for Americans 2020-2025 recommend, with persistent racial/ethnic disparities.5-8 According to recent estimates, 22% of adults in Minnesota drink at least one soda or other sugary drink per day.9 The Minnesota Student Survey of sixth, ninth and twelfth graders found that three out of four students reported consuming a sugary drink a day.10 Public health researchers have suggested that excess intake of sugary drinks may be one of the single largest drivers of the obesity epidemic in the U.S.11 An estimated 63% of adults and 22% of youth in Minnesota have overweight or obesity.10,12 

Targeted marketing contributes to differences in consumption by race/ethnicity group. Non-Hispanic Black youth are twice as likely as non-Hispanic White youth to see TV ads for sugary drinks.13 Non-Hispanic Black and Hispanic youth are less likely to be the audience for marketing of more healthy beverages, like water.14 Consumption of sugary drinks increases the risk of chronic diseases through changes in body mass index (BMI), insulin regulation, and other metabolic processes.15-17 Randomized intervention trials and longitudinal  studies have linked increases in sugary drink consumption to excess weight gain, diabetes, cardiovascular disease, and other health risks.15,16 There are persistent racial and ethnic disparities across rates of obesity and chronic disease.5-7 In light of this evidence, the Dietary Guidelines for Americans 2020-20258 recommends that individuals limit sugary drink intake in order to manage body weight and reduce risk of chronic disease.

Taxation has emerged as one recommended strategy to reduce consumption of sugary drinks.18 This strategy has been studied by public health experts, who have drawn on the success of tobacco taxation and decades of economic research to model the estimated financial and health impact of a sugary drink excise tax.19-22 This report provides information on a model of the projected effect of sugary drink excise taxes on health and disease outcomes over 10 years. For the purposes of this model, sugary drinks include all drinks with added caloric sweeteners; beverages with less than two calories per ounce were exempt from the model. Proposed and enacted sugary drink excise taxes typically do not apply to 100% juice or milk products and these are exempt from the modeled tax.

Modeling Framework: How excise taxes can lead to better health

State excise tax is linked to change in BMI through change in sugary drink price and consumption   

A graphic showing how tax will increase the price of sugary drinks, drive down consumption, and lower BMI.

Key Terms
  • Excise tax: a consumption tax collected from retailers or distributors; it is reflected in the posted price (a sales tax in contrast is applied after purchase of the item)
  • Pass-through rate: how much of the excise tax on distributors is passed on to consumers as an increase in shelf price; a percent ranging from 0% (none of the tax) to 100% (all the tax)
  • Price elasticity of demand: how much consumer purchasing behavior changes following a change in price of an item
How does an excise tax work?

An infographic displaying the connection between tax, price, and demand.

How does an excise tax on distributors affect the price paid by consumers?

A graphic showing the excise tax will increase sugary drink price.

Since the cost of a sugary drink excise tax is incorporated directly into the beverage’s sticker price, an excise tax will likely influence consumer purchasing decisions more than a comparable sales tax that is added onto the item at the register. We assume 100% pass-through of the tax over 10 years and assume the tax rate would be adjusted annually for inflation. Our pass-through rate estimate is supported by empirical studies of excise taxes in Mexico and France that demonstrate near-complete pass through rates to consumers.23 Short term studies for the local tax in Berkeley indicate imperfect, or less than 100%, pass-through.3,24,25 The expected change in sugary drink price was estimated using an average of $0.06/ounce based on national sugary drink prices.26 The price per ounce in this study was based on a weighted average of sugary drink consumption across stores, restaurants and other sources according to the estimates from the National Health and Nutrition Examination Survey (NHANES) 2009-2010. The price per ounce of sugary drinks purchased in stores was calculated using weighted averages of two-liter bottles, 12-can cases, and single-serve containers based on 2010 Nielsen Homescan data.26 For example, a $0.02/ounce tax would raise the price of a 12-ounce can of soda from $0.72 to $0.96/can post-tax.

How does increasing the price of sugary drinks change individual sugary drink consumption?

A graphic showing an increase in sugary drink price lowers consumption.

To estimate current sugary drink consumption levels in Minnesota, we used local estimates of adult sugary drink consumption from the Minnesota Behavioral Risk Factor Surveillance System12 and child sugary drink consumption from the Minnesota Student Survey27 based on race/ethnicity to adjust national estimates of sugary drink consumption from NHANES 2011-2014. How much consumers will change their purchases in response to price changes is called price elasticity for demand. We assume for every 10% increase in the price of sugary drinks, there will be a 12% reduction in purchases (a mean own-price elasticity of demand of -1.21).28 Recent research on the Berkeley, CA $0.01/ounce tax found a 21% reduction in sugary drink intake among populations experiencing low income, consistent with this estimate.24,29-32 More recent data before and after the sugary drink tax in Philadelphia indicate a larger own-price elasticity for sugary drinks.30

A graphic showing how lowering sugary drink consumption lowers BMI.

What are the individual health effects of decreasing sugary drink consumption?

Research has shown that decreasing sugary drink consumption can have positive effects on health in adults and youth. We estimated the impact of a change in sugary drink intake on body mass index (BMI), accounting for dietary compensation, based on rigorous studies identified in evidence reviews.22 The relationship among adults was modeled based on the range of estimated effects from four large, multi-year longitudinal studies, which indicated that a one-serving reduction in sugary drinks was associated with a BMI decrease of 0.21 kg/m2 to 0.57 kg/m2 in adults over a three-year period.16,33-35 Among youth, we used evidence from a double-blind randomized controlled trial conducted over 18 months, which found that reducing sugary drinks by eight ounces per day led to less weight gain (2.2 fewer pounds).36

Reach

The intervention applies to all children and adults in Minnesota. However, the model only looks at the effects on those 2 years of age and older.*

*BMI z-scores were used in our analyses, which are not defined for children under 2 years of age.

Cost

We assume the tax would incur start up and ongoing labor costs for tax administrators in the Minnesota Department of Revenue. To implement the intervention, the Minnesota Department of Revenue would need to process tax statements and conduct audits. Businesses would also need to prepare tax statements and participate in audits, which would require labor from private tax accountants. Cost information was drawn from localities with planned or implemented excise taxes on soft drinks to reflect the total estimated costs.22,37 The cost and benefit estimates do not include expected tax revenue.

CHOICES Microsimulation Model

The CHOICES microsimulation model for Minnesota was used to calculate the costs and effectiveness over 10 years (2017–2027). Cases of obesity prevented were calculated at the end of the model period in 2027. The model was based on prior CHOICES work,22,38 and created a virtual population of Minnesota residents using data from: U.S. Census, American Community Survey, Behavioral Risk Factor Surveillance System,12 NHANES, National Survey of Children’s Health,39 the Medical Expenditure Panel Survey, multiple national longitudinal studies, and obesity prevalence data provided by the Minnesota Department of Health. Using peer-reviewed methodology, we forecasted what would happen to this virtual population with and without a sugary drink tax to model changes in disease and mortality rates and health care costs due to the tax.

CHOICES microsimulation model: start in 2017 and simulate to 2027. Start with a virtual population using data from the 2010 U.S. census. Then take into account population factors, such as population growth and BMI trends. Then take into account individual factors, such as body growth, personal characteristics (e.g. dietary intake), and smoking. Then, input the intervention (dietary intake/physical activity). Then, look at health status (obesity) and outcomes (obesity, health care costs, and mortality).

Results: $0.02/ounce State Excise Tax on Sugary Drinks

Overall, the model projects that a sugary drink excise tax is cost-saving. Compared to the simulated natural history without a tax, the tax is projected to result in lower levels of sugary drink consumption, fewer cases of obesity, fewer deaths, and health care savings greater than $160 million dollars over the 10-year period under consideration. 

The estimated reduction in obesity attributable to the tax leads to lower projected health care costs, offsetting tax implementation costs and resulting in net cost savings. The difference between total health care costs with no intervention and lower health care costs with an intervention represent health care costs saved; these savings can be compared to the cost of implementing the tax to arrive at the metric of health care costs saved per $1 invested.

If a $0.02 per ounce excise tax on sugary drinks was enacted, then 9,250 cases of childhood obesity would be prevented in 2027, $45.60 would be saved in health care costs per every $1 invested, and $165 million would be saved in net costs.

Outcome $0.02/ounce excise tax
Mean
(95% uncertainty interval)
10-Year Reach*

6,060,000
(6,040,000; 6,070,000)

First Year Reach*

5,400,000
(5,400,000; 5,410,000)

Average Servings of Sugary Drinks Consumed per Year Prior to the Modeled Tax

215
(215; 217)

Decrease in 12-Ounce Servings of Sugary Drinks per Person in the First Year of the Intervention*

77.6
(48.3; 142)

Mean Reduction in BMI Units per Person*

-0.169
(-0.312; -0.087)

10-Year Intervention Implementation Cost per Person

$0.61
($0.49; $0.73)

Total Intervention Implementation Cost Over 10 Years**

$3,700,000
($2,980,000; $4,390,000)

Annual Intervention Implementation Cost

$370,000
($298,000; $439,000)

Health Care Costs Saved Over 10 Years

$169,000,000
($82,400,000; $353,000,000)

Net Costs Difference Over 10 Years

-$165,000,000
(-$349,000,000; -$78,300,000)

Quality Adjusted Life Years (QALYs) Gained Over 10 Years

8,190
(3,900; 17,200)

Years of Life Gained Over 10 Years

2,110
(798; 4,920)

Deaths Prevented Over 10 Years*

607
(233; 1,450)

Years with Obesity Prevented Over 10 Years

242,000
(129,000; 449,000)

Health Care Costs Saved per $1 Invested Over 10 Years

$45.60
($21.80; $94.70)

Cases of Obesity Prevented in 2027*

34,700
(18,600; 64,200)

Cases of Childhood Obesity Prevented in 2027*

9,250
(4,220; 18,800)

Cost per Year with Obesity Prevented Over 10 Years Cost-saving
Cost per QALY Gained Over 10 Years Cost-saving
Cost per YL Gained Over 10 Years Cost-saving
Cost per Death Averted Over 10 Years Cost-saving

Uncertainty intervals are estimated by running the model 1,000 times, taking into account both uncertainty from data sources and virtual population projections, and calculating a central range in which 95 percent of the model results fell.

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

*Not discounted.

**Total estimated costs for the Department of Revenue and businesses to implement the tax.

Results: $0.02/ounce State Excise Tax on Sugary Drinks By Race/Ethnicity Groups

There are differences in sugary drink consumption and obesity prevalence by race/ethnicity in Minnesota. The CHOICES model used Minnesota data to build a virtual Minnesota population. Without any intervention:

Sugary drink consumption is higher in several communities of color in Minnesota

Graph showing that sugary drink consumption is higher in several communities of color in Minnesota. 206 servings per year per person for the Asian population; 380 servings per year per person for the Black/African American population; 348 servings per year per person for the Hispanic/Latino population; 479 servings per year per person for the Native American or Alaskan population; 361 servings per year per person for the Multiracial population; 224 servings per year per person for the Other population; 206 servings per year per person for the White population. The average in Minnesota is 215 servings per year per person.

Obesity prevalence is highest in the Black/African American, Hispanic/Latino, and Native American or Alaskan populations 

Graph showing that obesity prevalence is highest in the Black/African American, Hispanic/Latino, and Native American or Alaskan populations. 11.3% of the Asian population has obesity; 37.0% of the Black/African American population has obesity; 32.3% of the Hispanic/Latino population has obesity; 32.5% of the Native American or Alaskan population has obesity; 24.3% of the Multiracial population has obesity; 24.2% of the Other population has obesity; 29.3% of the White population has obesity. On average, 27.5% of the population of Minnesota has obesity.

Outcome Asian
Mean
(95% uncertainty interval)
Black/African American 
Mean
(95% uncertainty interval)
Hispanic/Latino
Mean
(95% uncertainty interval)
Native American or Alaskan
Mean
(95% uncertainty interval)
Multiracial
Mean
(95% uncertainty interval)
Other
Mean
(95% uncertainty interval)
White
Mean
(95% uncertainty interval)
Average Servings of Sugary Drinks Consumed per Year Prior to the Modeled Tax 206
(203; 208)
380
(374; 386)
348
(343; 353)
479
(469; 492)
361
(355; 367)
224
(211; 239)
186
(185; 187)
Decrease in 12-Ounce Servings of Sugary Drinks per Person in the First Year* 72.8
(45.6; 129)
136
(84.9; 237)
126
(78.7; 222)
173
(107; 317)
130.2
(81.6; 235)
80.3
(49.6; 150)
67.2
(41.6; 121)
Reduction in Obesity Prevalence 0.42% 1.28% 1.43% 1.29% 1.09% 0.48% 0.51%
QALYs Gained Over 10 Years 189
(83; 391)
744
(355; 1,520)
675
(334; 1,350)
225
(89; 516)
241
(100; 489)
12
(3; 47)
6,110
(2,820; 12,900)
Years of Life Gained Over 10 Years 31
(0; 99)
180
(33; 479)
82
(0; 236)
67
(0; 204)
47
(0; 147)
5
(0; 46)
1,690
(626; 3,940)
Additional Years Lived without Obesity (2017-2027) 7,920
(3,770; 15,200)
28,500
(15,800; 49,400)
32,700
(17,100; 56,900)
6,100
(3,200; 10,900)
12,200
(5,990; 22,700)
322
(152; 623)
154,000
(78,800; 289,000)
Cases of Obesity Prevented in 2027* 1,150
(552; 2,220)
4,130
(2,190; 7,410)
4,790
(2,440; 8,170)
842
(411; 1,520)
1,750
(835; 3,330)
52
(17; 113)
22,000
(11,500; 42,100)
Cases of Childhood Obesity Prevented in 2027* 463
(164; 1,080)
1,380
(637; 2,680)
1,680
(740; 3,340)
203
(70; 502)
858
(359; 1,860)
18
(4; 48)
4,650
(2,110; 9,600)

Uncertainty intervals are estimated by running the model 1,000 times, taking into account both uncertainty from data sources and virtual population projections, and calculating a central range in which 95 percent of the model results fell.

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

*Not discounted.

Communities of color make up:

Communities of color will make up 21% of Minnesota’s total population in 2027 and 36% of the projected total cases of obesity prevented in 2027 from a $0.02 per ounce excise tax on sugary drinks.

 

Metric

Asian

Black/African American

Hispanic/ Latino

Native American or Alaskan

Multiracial

Other

White

Percent of Total Population in 2027*

5%

6%

6%

1%

3%

<1%

79%

Total Number of Cases of Obesity Prevented in 2027

1,150

4,130

4,790

842

1,750

52

22,000

Percent of Total Number of Cases of Obesity Prevented in 2027*

3%

12%

14%

2%

5%

<1%

63%

*All race/ethnicity data represents broad groupings. Due to data limitations, we were not able to identify subgroups within these broad categories. Some populations within each category with different lived experiences (income, immigrant/non-immigrant, social position, etc.) may differ significantly from the broad grouping related to obesity, sugary beverage consumption, and the impact of the excise tax.

Impact on Diabetes

We estimated the impact of the tax-induced reduction in sugary drink 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 sugary drink consumption40 as well as local estimates of diabetes. On average, each 8.5 ounce serving of sugary drinks per day is estimated to increase the risk of diabetes by 18%.40

In Minnesota, we estimated that the proposed sugary drink excise tax would lead to a 3% reduction in diabetes incidence in the sugary drink tax models. Impact on diabetes incidence was calculated over a one-year period once the tax reaches its full effect. Impact on diabetes was calculated based on summary results from the model, not directly via microsimulation.

If a $0.02 per ounce excise tax on sugary drinks was enacted, then there would be a 3% reduction in diabetes incidence in one year (after the tax has been in place for 3 years). 720 cases of diabetes would be prevented in one year (after the tax has been in place for 3 years). $227,000 would be saved in childhood dental decay treatment costs over 10 years (Medicaid). $6.50 million would be saved in childhood dental decay treatment costs over 10 years (Societal, regardless of payer).

Impact on Tooth Decay

We estimated the impact of a sugary drink excise tax on tooth decay cost using a longitudinal analysis of the relationship between intake of sugars and tooth decay in adults. On average, for every 10 grams higher intake of sugar per day, there is an increase in decayed, missing, and filled teeth (i.e., tooth decay) of approximately 0.10 over 10 years.41 As described above, we assume that the excise tax will result in a reduction in sugary drink intake. There are many studies showing a similar relationship between higher intake of sugars and tooth decay in children and youth42 and thus we assume the same relationship as found in adults.

We used 2018 Minnesota Health Care Programs procedure code43 data to estimate a Medicaid cost of treating tooth decay as: $149.71 for a permanent crown in children and $32.57 for a filling in children. These codes reflect treatment for one surface and do not reflect higher reimbursement rates for multi-surface treatment, temporary crowns, or potential flat tax schedules. Based on analysis of data on tooth decay, fillings and crowns for the U.S. population from NHANES 1988-1994 (the last year crowns and fillings were separately reported),44 we estimate that 78.9% of tooth decay in children is fillings. Using this same data set, we estimate that 97.5% of treatment for children is fillings.

To estimate Medicaid-specific dental caries cost savings, we used local estimates of the numbers of people enrolled in Medicaid and the proportion receiving Medicaid dental services. Because of limited Medicaid dental coverage for adults in Minnesota, only children are included in the Medicaid-specific calculations. In Minnesota, we estimate that a $0.02/ounce tax would lead to a total over a period of 10 years in tooth decay savings of $227,000 in Medicaid savings. The Medicaid reimbursement tax estimates may underestimate the total cost savings of tooth decay treatment projected here as dental providers may charge higher amounts to patients.

Potential Yearly Sugary Drink Tax Revenue from a $0.02/ounce Sugary Drink Tax

In addition to the projected cost savings of $165 million in net costs over 10 years, an excise tax will generate substantial annual revenue. A $0.02/ounce tax on sugary drinks in Minnesota could raise $213 million. This estimate of potential revenue assumes 50% of the projection reported on the Rudd Center Revenue Calculator for Sugary Drink Taxes (Rudd Calculator).45 The Rudd Calculator, which bases estimates on regional sales data adjusted for state or city specific demographics,46 is “intended to provide a rough estimate and starting point to project the revenue from a tax on sugary drinks.”45 Several factors could impact the potential for the tax to raise that amount. Retailers may have inventories of sugary drinks obtained before the tax was implemented. Residents living close to city, county and/or state borders may also purchase sugary drinks in neighboring communities without such a tax. Finally, there may be some distributors/manufacturers that are non-compliant with the tax. The Rudd sales data for specific states and/or cities within those regions may also vary from the regional average. The Rudd Calculator notes that users of the calculators are “advised to adjust the revenues down by 10%-30%.”45 For Minnesota, we provide a revenue projection assuming 50% of the Rudd Calculator projection, since surveillance data indicate that consumption of sugary drinks in Minnesota is low compared with other states in the region.46,47

Annual Revenue Projections. Assuming 50% of Rudd Calculator projections - $213 million. Assuming 70% of Rudd Calculator projections - $298 million. Assuming 90% of Rudd Calculator projections - $383 million. *The Rudd Center Revenue Calculator for Sugary Drink Taxes (Rudd Calculator) bases estimates on regional sales data adjusted for state or city specific demographics. (see reference #46). The Rudd Calculator notes that users of the calculators are “advised to adjust the revenues down by 10%-30%.” (see reference #45).

Considerations for Health Equity

Concerns have been raised regarding the impact of the tax on households with low income because populations with low income tend to consume more sugary drinks.48 Economic studies indicate that with a sugary drink tax, consumers will buy less of these products.28 This change in purchasing is substantial, so that consumers can be expected to spend less on sugary drinks after a tax is implemented. Using sales data from the Rudd Center Revenue Calculator for Sugary Drink Taxes (Rudd Calculator),45 we project that individuals and households in Minnesota will spend less money on sugary drinks after the tax. This would free up disposable income for other consumer purchases.

In addition to these changes in spending, health benefits are projected to be greatest among individuals with low income. We project that more health benefits from this policy will accrue to consumers with low income; the same is true for a number of racial and ethnic groups. Beverage companies frequently target their sugary drink advertising towards youth, and are more likely to target Black and Hispanic/Latino youth.13 In Minnesota, the average percentage of adults who drink one or more soda or sugary drink per day varies by racial and ethnic group, for example from 20% of non-Hispanic White adult residents to 39% of Hispanic/Latino adult Minnesota residents.9 Under the proposed tax, we project that Native American or Alaskan, Hispanic/Latino, Multiracial, and Black/African American Minnesota residents would see twice as high of a reduction in obesity prevalence compared to non-Hispanic White Minnesota residents. On that basis. the proposed tax should decrease inequities in obesity outcomes and improve health equity. These expected changes in sugary drink consumption and health outcomes have led health economists to calculate that populations with lower income have benefit from sugary drink taxes.49 In addition, revenue from a sugary drink tax could be reinvested in communities with lower income through a variety of approaches.50 

If a $0.02 ounce excise tax on sugary drinks was enacted, individuals will spend less on sugary drinks; households will spend $181 less on sugary drinks; people in Minnesota will spend $190 million less on sugary drinks.

Implementation Considerations

Revenue raised from a sugary drink tax can be reinvested in communities experiencing low income. For instance, in Berkeley, CA, sugary drink tax revenue has been allocated for spending on school and community programs, many serving populations with low income or communities of color to promote healthy eating, diabetes and obesity prevention.51,52 Public support for such taxes generally increases with earmarking for preventive health activities.52

There is opposition from the food and beverage industry, which spends billions of dollars promoting their products.53 Relatively small beverage excise taxes are currently applied across many states. The proposed tax is likely to be sustainable if implemented based on the successful history of tobacco excise taxes. There is potential for a shift in social norms of sugary drink consumption based on evidence from tobacco control tax and regulatory efforts.53 Implementing the tax could also serve as a powerful health education message to reduce added sugar consumption. 

Conclusion

We project that a $0.02 per ounce sugary drink excise tax in Minnesota will prevent thousands of cases of childhood and adult obesity, improve health equity, 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 could be used for education and health promotion efforts. Implementing the tax could also serve as a powerful social signal to reduce sugar consumption.

Suggested Citation:

Ambroz TA, Pelletier JE, Long MW, Ward ZJ, Giles CM, Barrett JL, Cradock AL, Resch SC, Greatsinger A, Tao H, Flax CN, Gortmaker SL. Minnesota: Sugary Drink Excise Tax [Report]. Minnesota Department of Health, St. Paul, MN, and the CHOICES Learning Collaborative Partnership at the Harvard T.H. Chan School of Public Health, Boston, MA; August 2022. 

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

Funded by The JPB Foundation. Results are those of the authors and not the funders.

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References

  1. American Public Health Association Taxes on Sugar-Sweetened Beverages. 2012.

  2. Hakim D, Confessore N. Paterson seeks huge cuts and $1 billion in taxes and fees. New York Times. January 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. American Journal of Public Health. 2015;105(11):2194-2201.

  4. Leonhardt D. The battle over taxing soda. The New York Times. May 19, 2010.

  5. Kit BK, Fakhouri THI, Park S, Nielsen SJ, Ogden CL. Trends in sugar-sweetened beverage consumption among youth and adults in the United States: 1999-2010. American Journal of Clinical Nutrition. 2013;98(1):180-188. 

  6. Bleich SN, Vercammen KA, Koma JW, Li ZH. Trends in Beverage Consumption Among Children and Adults, 2003-2014. Obesity. 2018;26(2):432-441. 

  7. Vercammen KA, Moran AJ, Soto MJ, Kennedy-Shaffer L, Bleich SN (2020). Decreasing Trends in Heavy Sugar-Sweetened Beverage Consumption in the United States, 2003-2016. Journal of the Academy of Nutrition and Dietetics. 2020 Dec;120(12):1974-1985.e5. 

  8. U.S. Department of Health and Human Services, U.S. Department of Agriculture. 2020 – 2025 Dietary Guidelines for Americans. December 2020.

  9. Park S, Xu F, Town M, Blanck H. Prevalence of Sugar-Sweetened Beverage Intake Among Adults – 23 States and the District of Columbia. MMWR Morb Mortal Wkly Report 2016. 2013;65(7):169-174.

  10. Minnesota Department of Health. Minnesota Student Survey. Minnesota Department of Health, Minnesota Center for Health Statistics; 2013.

  11. Brownell KD, Frieden TR. Ounces of Prevention – The Public Policy Case for Taxes on Sugared Beverages. N Engl J Med. 2009;360(18):1805-1808.

  12. Minnesota Department of Health. Minnesota Behavioral Risk Factor Surveillance Survey (BRFSS). Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Division of Population Health; 2013.

  13. Harris J, Shehan C, Gross R, et al. Food advertising targeted to Hispanic and Black youth: Contributing to health disparities.  August 2015.

  14. Yancey AK, Cole BL, Brown R, et al. A cross-sectional prevalence study of ethnically targeted and general audience outdoor obesity-related advertising. Milbank Q. 2009;87(1):155-184.

  15. Malik VS, Pan A, Willett WC, Hu FB. Sugar-sweetened beverages and weight gain in children and adults: a systematic review and meta-analysis. The American Journal of Clinical Nutrition. 2013;98(4):1084-1102.

  16. Chen L, Caballero B, Mitchell DC, et al. Reducing Consumption of Sugar-Sweetened Beverages Is Associated with Reduced Blood Pressure: A Prospective Study among U.S. Adults. Circulation. 2010;121(22):2398-2406.

  17. Wang Y. The potential impact of sugar-sweetened beverage taxes in New York State. A report to the New York State Health Commissioner. New York: Columbia Mailman School of Public Health. 2010.

  18. IOM (Institute of Medicine), National Research Council. Local Government Actions to Prevent Childhood Obesity. Washington, DC: The National Academies Press; 2009.

  19. Chaloupka F, Powell L, Chriqui J. Sugar-sweetened beverage taxes and public health: A Research Brief. Minneapolis, MN2009.

  20. Brownell KD, Farley T, Willett WC, et al. The Public Health and Economic Benefits of Taxing Sugar-Sweetened Beverages. N Engl J Med. 2009;361(16):1599-1605.

  21. Long M, Gortmaker S, Ward Z, et al. Cost Effectiveness of a Sugar-Sweetened Beverage Excise Tax in the U.S. Am J Prev Med. 2015;49(1):112-123.

  22. Gortmaker SL, Wang YC, Long MW, et al. Three Interventions That Reduce Childhood Obesity Are Projected To Save More Than They Cost To Implement. Health Aff. 2015;34(11):1932-1939.

  23. Colchero MA, Salgado JC, Unar-Munguia M, Molina M, Ng SW, 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):11.

  24. Falbe J, Thompson HR, Becker CM, Rojas N, McCulloch CE, Madsen KA. Impact of the Berkeley Excise Tax on Sugar-Sweetened Beverage Consumption. American Journal of Public Health. 2016;106(10):1865-1871.

  25. Ng S, Silver L, Ryan-Ibarra S, et al. Berkeley Evaluation of Soda Tax (BEST) Study Preliminary Findings. Presentation at the annual meeting of the American Public Health Association. Paper presented at: Presentation at the annual meeting of the American Public Health Association; November, 2015; Chicago, IL.

  26. Powell L, Isgor z, Rimkus L, Chaloupka F. 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.

  27. Minnesota Department of Health. Minnesota Student Survey. Minnesota Department of Health, Minnesota Center for Health Statistics; 2007-2016 

  28. 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. Obesity Reviews. 2013;14(2):110-128. 

  29. Roberto CA, Lawman HG, LeVasseur MT, Mitra N, Peterhans A, Herring B, Bleich SN. Association of a Beverage Tax on Sugar-Sweetened and Artificially Sweetened Beverages With Changes in Beverage Prices and Sales at Chain Retailers in a Large Urban Setting. JAMA. 2019 May 14;321(18):1799-1810. doi: 10.1001/jama.2019.4249.

  30. Lee MM, Falbe J, Schillinger D, Basu S, McCulloch CE, Madsen KA. Sugar-Sweetened Beverage Consumption 3 Years After the Berkeley, California, Sugar-Sweetened Beverage Tax. American Journal of Public Health. 2019;109(4):637-639. 

  31. Zhong Y, Auchincloss AH, Lee BK, Kanter GP. The Short-Term Impacts of the Philadelphia Beverage Tax on Beverage Consumption. American Journal of Preventive Medicine. 2018;55(1):26-34. 

  32. Silver LD, Ng SW, Ryan-Ibarra S, et al. Changes in prices, sales, consumer spending, and beverage consumption one year after a tax on sugar-sweetened beverages in Berkeley, California, US: A before-and-after study. PLoS Medicine. 2017;14(4):e1002283

  33. Mozaffarian D, Hao T, Rimm EB, Willett WC, Hu FB. Changes in Diet and Lifestyle and Long-Term Weight Gain in Women and Men. New England Journal of Medicine. 2011;364(25):2392-2404. 

  34. 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. Archives of Internal Medicine. 2008;168(14):1487-1492. 

  35. Schulze MB, Manson JE, Ludwig DS, et al. Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. Journal of the American Medical Association. 2004;292(8):927-934. 

  36. de Ruyter JC, Olthof MR, Seidell JC, Katan MB. A trial of sugar-free or sugar-sweetened beverages and body weight in children. New England Journal of Medicine. 2012;367(15):1397-1406.

  37. Healthy Food America. Implementing Sugary Drink Taxes: Outreach, Collection, and Fighting Industry Litigation. [Webinar]. 2017; http://www.healthyfoodamerica.org/webinars.

  38. Ward ZJ, Long MW, Resch SC, Giles CM, Cradock AL, Gortmaker SL. Simulation of Growth Trajectories of Childhood Obesity into Adulthood. N Engl J Med. 2017;377(22):2145-2153.

  39. Long MW, Ward Z, Resch SC, et al. State-level estimates of childhood obesity prevalence in the United States corrected for report bias. Int J Obes. 2016;40(10):1523-1528.

  40. 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

  41. Bernabé E, Vehkalahti MM, Sheiham A, Lundqvist A, Suominen AL. The Shape of the Dose-Response Relationship between Sugars and Caries in Adults. J Dent Res. 2016;95(2):167-172.

  42. Sheiham A, James WPT. A new understanding of the relationship between sugars, dental caries and fluoride use: implications for limits on sugars consumption. Public Health Nutr. 2014;17(10):2176-2184.

  43. Minnesota Health Care Program (MHCP) Minnesota Health Care Program Reimbursement Fee Schedule. 2018.

  44. Ward Z, et al. NHANES III Dental Examination: An Incisive Report. unpublished report; 2018.

  45. UConn Rudd Center for Food Policy & Obesity. Sugary Drink Tax Calculator. https:// uconnruddcenter.org/tax-calculator. Accessed February 2021.

  46. Andreyeva T, Chaloupka F, Powell L. DATA AND ASSUMPTIONS (TAX CALCULATOR REVISION, MARCH 2017. http://www.uconnruddcenter.org/files/Pdfs/Calculator%20Data_Methods_71917.pdf

  47. Park S, Xu F, Town M, Blanck HM. Prevalence of Sugar-Sweetened Beverage Intake Among Adults–23 States and the District of Columbia, 2013. MMWR Morb Mortal Wkly Rep. 2016 Feb 26;65(7):169-74. doi: 10.15585/mmwr.mm6507a1.

  48. Han E, Powell LM. Consumption patterns of sugar-sweetened beverages in the United States. Journal of the Academy of Nutrition and Dietetics. 2013;113(1):43-53.

  49. Allcott H, Lockwood BB, Taubinsky D. Should We Tax Sugar-Sweetened Beverages? An Overview of Theory and Evidence. J Econ Perspect. 2019; 33 no 3: 202–27.

  50. Krieger J, Bleich SN, Scarmo S, Ng SW. Sugar-Sweetened Beverage Reduction Policies: Progress and Promise. Annu Rev Public Health. 2021 Apr 1;42:439-461.

  51. Lynn J. City Council votes to allocate ‘soda tax’ revenue to school district, city organizations. The Daily Californian. Jan. 20, 2016.

  52. Friedman R. Public Opinion Data, 2013. New Haven, CT: Yale Rudd Center for Food Policy & Obesity; 2013.

  53. Federal Trade Commission. A review of food marketing to children and adolescents: follow-up report. Washington, DC Dec 2012 2012.

  54. 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. American Journal of Public Health. 2005;95(6):1016-1023.

Strategy Profile: Sugary Drink Excise Tax

The information in this resource is intended only to provide educational information. This profile describes the estimated benefits, activities, resources, and leadership needed to implement a strategy to improve child health. This information can be useful for planning and prioritization purposes.

  • A sugary drink excise tax is an excise tax assessed on manufacturers, bottlers, and/or distributors of sugary drinks based on the size of the sugary beverage distributed to consumers. This profile is specific to a sugary drink excise tax of 1 cent or 2 cents per ounce.

What population benefits?

All youth and adults ages 2 years and older.

What are the estimated benefits?

Relative to not implementing the strategy
Reduce sugary drink purchases and consumption, and, as a result, promote healthy weight.

What are the additional benefits?

Relative to not implementing the strategy
↓ Decrease in tooth decay
↓ Decrease in diabetes incidence

The costs of implementing this strategy could be offset by savings from…
↓ Decrease in dental costs

What activities and resources are needed?

Activities Resources Who Leads?
Administer the excise tax • Time for government tax agent to administer tax, including notifying taxpayers, updating systems and forms, processing tax statements, and conducting audits Government tax agency and staff
Prepare tax statements and comply with audits • Time for private industry accountant to prepare tax submissions and comply with audits Private industry accountant
Strategy Modification

Some state and local health agencies added to this strategy the costs of developing and implementing communications campaigns to further promote the tax among distributors and the public. This would require additional time to develop and distribute communication materials and the additional cost of materials.


FOR ADDITIONAL INFORMATION

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. doi: 10.1377/hlthaff.2015.0631. Supplemental Appendix with strategy details available at: https://www.healthaffairs.org/doi/suppl/10.1377/hlthaff.2015.0631/suppl_file/2015-0631_gortmaker_appendix.pdf

Selected CHOICES research reports including cost-effectiveness metrics:
Gouck J, Whetstone L, Walter C, Pugliese J, Kurtz C, Seavey-Hultquist J, Barrett J, McCulloch S, Reiner J, Garrone M, Cradock AL, Gortmaker S. California: A Sugary Drink Excise Tax. California Department of Public Health, Sacramento, CA, the County of Santa Clara Public Health Department, San Jose, CA, and the CHOICES Learning Collaborative Partnership at the Harvard T.H. Chan School of Public Health, Boston, MA; March 2021. Available at: https://choicesproject.org/publications/report-california-sugary-drink-excise-tax/

McKinnon A, Ward Z, Barrett J, Cradock AL, Resch S, Flax C, and Gortmaker S. Utah: Sugary Drink Tax. Salt Lake County Health Department, Salt Lake City, UT, and the CHOICES Learning Collaborative Partnership at the Harvard T.H. Chan School of Public Health, Boston, MA; December 2019. Available at: https://choicesproject.org/ publications/report-utah-sugary-drink-tax


Suggested Citation

CHOICES Strategy Profile: Sugary Drink Excise Tax. CHOICES Project Team at the Harvard T.H. Chan School of Public Health, Boston, MA; May 2023.

Funding

This work is supported by The JPB Foundation and the Centers for Disease Control and Prevention (U48DP006376). The information provided here is intended to be used for educational purposes. Links to other resources and websites are intended to provide additional information aligned with this educational purpose. The findings and conclusions are those of the author(s) and do not necessarily represent the official position of the Centers for Disease Control and Prevention or other funders.

Adapted from the TIDieR (Template for Intervention Description and Replication) Checklist

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Report: New York State: Sugary & Diet Drink Taxes

The information in this report is intended to provide educational information on the cost-effectiveness of sugary drink excise taxes.

Executive Summary

High rates of obesity are one of the greatest public health threats facing the United States. Sugary drink consumption can lead to type 2 diabetes, heart disease, cavities, weight gain, and obesity. Overweight and obesity are linked to many chronic conditions such as high blood pressure and some cancers. 

The current public health landscape demonstrates that nutrition remains critical, even during an infectious disease outbreak like COVID-19. Health conditions such as obesity, diabetes, and heart disease are related to nutrition and can increase the risk of severe illness from COVID-19. Rates of these chronic diseases are still too high in New York state, disproportionately burdening communities of color. 

Federal, state, and local governments have long considered implementing excise taxes on sugary drinks to reduce consumption, reduce obesity, and provide an additional source of government revenue.1-4 As of 2019, seven U.S. jurisdictions are enforcing beverage tax policies. 

We modeled implementation of a state excise tax using two scenarios. Scenario one included a tax on sugary drinks only and scenario two included a tax on both sugary and diet drinks. Each scenario examined three potential tax rates: $0.01/ounce, $0.015/ounce, and $0.02/ounce. 

All six tax models resulted in lower levels of sugary drink consumption, thousands of people for whom obesity would be prevented (note: referred to as “cases” throughout this report), improved health equity, and hundreds of millions of dollars in health care cost savings. The estimated effects of the interventions on health care costs were based on national analyses that indicated excess health care costs associated with obesity among children and adults.5 Health care cost savings per dollar invested ranged from $22.40 to $57.40 across the six models. Projections demonstrate that annual revenue generated from a sugary drink tax is likely substantial. 

Continue reading in the full report.

Contact choicesproject@hsph.harvard.edu for an accessible version of this report.

Citation

Gortmaker SL, Long MW, Ward ZJ, Giles CM, Barrett JL, Resch SC, Greatsinger A, Garrone ME, Tao H, Flax CN, Cradock AL. New York State: Sugary & Diet Drink Taxes. The CHOICES Project Team at the Harvard T.H. Chan School of Public Health, Boston, MA; November 2021. For more information, please visit www.choicesproject.org.

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

Funding

This work is supported by the New York City Department of Health and Mental Hygiene and The JPB Foundation. The findings and conclusions are those of the author(s) and do not necessarily represent the official position of the funders.

For further information, contact choicesproject@hsph.harvard.edu

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. Finkelstein EA, Trogdon JG. Public health interventions for addressing childhood overweight: Analysis of the business case. Am J Public Health. 2008;98(3):411-5.

See the report for the full list of references.

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Report: New York City: Sugary & Diet Drink Taxes

The information in this report is intended to provide educational information on the cost-effectiveness of sugary drink excise taxes.

Executive Summary

High rates of obesity are one of the greatest public health threats facing the United States. Sugary drink consumption can lead to type 2 diabetes, heart disease, cavities, weight gain, and obesity. Overweight and obesity are linked to many chronic conditions such as high blood pressure and some cancers. 

The current public health landscape demonstrates that nutrition remains critical, even during an infectious disease outbreak like COVID-19. Health conditions such as obesity, diabetes, and heart disease are related to nutrition and can increase the risk of severe illness from COVID-19. Rates of these chronic diseases are still too high in New York City (NYC), disproportionately burdening communities of color. 

Federal, state, and local governments have long considered implementing excise taxes on sugary drinks to reduce consumption, reduce obesity, and provide an additional source of government revenue.1-4 As of 2019, seven U.S. jurisdictions are enforcing beverage tax policies. 

We modeled implementation of a city excise tax using two scenarios. Scenario one included a tax on sugary drinks only and scenario two included a tax on both sugary and diet drinks. Each scenario examined three potential tax rates: $0.01/ounce, $0.015/ounce, and $0.02/ounce. 

All six tax models resulted in lower levels of sugary drink consumption, thousands of people for whom obesity would be prevented (note: referred to as “cases” throughout this report), improved health equity, and hundreds of millions of dollars in health care cost savings. The estimated effects of the interventions on health care costs were based on national analyses that indicated excess health care costs associated with obesity among children and adults.5 Health care cost savings per dollar invested ranged from $12.80 to $32.90 across the six models. Projections demonstrate that annual revenue generated from a sugary drink tax is likely substantial. 

Continue reading in the full report.

Contact choicesproject@hsph.harvard.edu for an accessible version of this report.

Citation

Gortmaker SL, Long MW, Ward ZJ, Giles CM, Barrett JL, Resch SC, Greatsinger A, Garrone ME, Tao H, Flax CN, Cradock AL. New York City: Sugary & Diet Drink Taxes. The CHOICES Project Team at the Harvard T.H. Chan School of Public Health, Boston, MA; November 2021. For more information, please visit www.choicesproject.org. 

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

Funding

This work is supported by the New York City Department of Health and Mental Hygiene and The JPB Foundation. The findings and conclusions are those of the author(s) and do not necessarily represent the official position of the funders.

For further information, contact choicesproject@hsph.harvard.edu

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. Finkelstein EA, Trogdon JG. Public health interventions for addressing childhood overweight: Analysis of the business case. Am J Public Health. 2008;98(3):411-5.

See the report for the full list of references.

← Back to Resources

CHOICES Web Forum: How a statewide sugary drink tax in California could improve health & promote health equity

The CHOICES Project at the Harvard T.H. Chan School of Public Health hosted this virtual Web Forum on June 16, 2021. Key leaders in the field discussed how cost-effectiveness analysis can be a useful decision-making tool to prioritize strategies that promote healthy eating, active living, and health equity.

Moderator:

  • Marcus Plescia, Chief Medical Officer, Association of State and Territorial Health Officials

Panelists:

  • Maria Ochoa, Assistant Deputy Director, California Department of Public Health
  • Jessie Gouck, Senior Program Specialist, California Department of Public Health
  • Kristine Madsen, Associate Professor, University of California Berkeley School of Public Health; Faculty Director, Berkeley Food Institute
  • Jim Krieger, Executive Director, Healthy Food America; Clinical Professor of Medicine and Health Services, University of Washington

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