Topic: Sugary Drinks

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

← Back to Resources

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.

← Back to Resources

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 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; April 2022.

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

← Back to Resources

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.

← Back to Resources

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

← Back to Resources

Brief: Creating Healthier Child Care Environments: NAPSACC in the Quality Rating Improvement System in Arkansas

Young kids playing in an early care setting

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

This brief summarizes a CHOICES Learning Collaborative Partnership model examining a strategy incorporating the Nutrition and Physical Activity Self-Assessment for Child Care (NAP SACC) assessment tools into Better Beginnings, Arkansas’ Quality Rating and Improvement System, to support quality early child care program opportunities and promote child health. 

The Issue

In Arkansas, three out of 10 kindergarteners entering school in 2018 had overweight or obesity.1 The majority of today’s children will have obesity at age 35 if we don’t act.2 Making sure children are growing up at a healthy weight from their very first days is a critical way to prevent obesity and future risk for obesity-related diseases like diabetes as adults. Conditions linked to obesity, previously only seen in adults, are appearing in Arkansas’ Medicaid-enrolled children.3 Early child care programs that support healthy nutrition and physical activity habits show great promise in promoting healthy weight.4

In Arkansas, more than half of children ages 2-5 attend a licensed child care program.5 Providing licensed child care programs with training opportunities and resources through Better Beginnings may be an effective strategy to improve the quality of child care programs and to ensure that the majority of children in Arkansas are off to a healthy start.

About NAP SACC

NAP SACC is an evidence-based, trusted strategy enabling child care centers to attain best practices regarding nutrition, active play, and screen time.4 To date, NAP SACC shows the best evidence for reducing childhood obesity risk in children under age 5.6 Early education program directors and staff complete self-assessments and receive training and technical assistance to implement practices, policies, and changes supporting healthy outcomes. Better Beginnings is designed to improve child care environments to support child health and development. Integrating NAP SACC into Better Beginnings can improve the quality of child care programs and ensure more children grow up healthy in Arkansas.

Comparing Costs and Outcomes

A CHOICES cost-effectiveness analysis compared the costs and outcomes over a 10-year time horizon (2020-2030) of implementing NAP SACC with the costs and outcomes of not implementing the program.

Implementing NAP SACC into Better Beginnings in Arkansas is an investment in child health. By the end of 2030:

If NAP SACC was incorporated into Better Beginnings in Arkansas, then 116,000 children would be reached over 10 years with more active play, less screen time, and healthier food and drinks. 1,320 early care directors and staff would be trained in the first year. It would cost $18 per child per year to implement. 8,720 years with obesity would be prevented over 10 years.

Conclusions and Implications

Every child should have opportunities for a healthy start. A state-level initiative integrating NAP SACC into training and quality improvement through Better Beginnings could create healthier nutrition and physical activity environments in child care programs for 116,000 children over 10 years. This strategy would benefit 1,320 early care directors and staff with training and technical assistance to support using nutrition, active play, and screen time best practices at 659 child care programs. Over 10 years, children in Arkansas would have 8,720 more years lived at a healthy weight and 1,130 fewer children would have obesity in 2030 alone.

Many prevention strategies targeting children require an upfront investment because costly obesity-related health conditions generally present later in adulthood.7 While we project this strategy would cost $18 per child per year, shortchanging early prevention efforts may lead to costly and complicated treatment in the future. Already, the total annual costs of having obesity are estimated to be $6 million for the 30,000 25- to 29-year-olds enrolled in Medicaid—inclusive of Arkansas’ expansion population. This represents an excess annual cost of $200 per person due to obesity.3

Early child care programs also play a critical role in supporting healthy child development and children’s academic readiness.8 Investing in a strategy for quality improvement that provides the necessary training, technical assistance, and resources supports early educators in providing high-quality child care that nurtures healthy habits. Enabling early education leaders in Arkansas to use the best available evidence to prevent excess weight gain in children will support children’s healthy growth and development.

References

  1. ACHI. (2019). Assessment of Childhood and Adolescent Obesity in Arkansas: Year 16 (Fall 2018–Spring 2019). Arkansas Center for Health Improvement. Little Rock, AR.

  2. Ward Z, Long M, Resch S, Giles C, Cradock A, Gortmaker S. Simulation of Growth Trajectories of Childhood Obesity into Adulthood. New England Journal of Medicine. 2017; 377(22): 2145-2153.

  3. ACHI, Arkansas Medicaid. Comorbid Conditions and Medicaid Costs Associated with Childhood Obesity in Arkansas. 2019.

  4. Alkon A, Crowley AA, Neelon SE, Hill S, Pan Y, Nguyen V, Rose R, Savage E, Forestieri N, Shipman L, Kotch JB. Nutrition and physical activity randomized control trial in child care centers improves knowledge, policies, and children’s body mass index. BMC Public Health. 2014;14:215.

  5. Arkansas Department of Human Services, Division of Child Care and Early Childhood Education, Child Care Facilities Database. Unpublished data. 2020.

  6. Kenney E, Cradock A, Resch S, Giles C, Gortmaker S. The Cost-Effectiveness of Interventions for Reducing Obesity among Young Children through Healthy Eating, Physical Activity, and Screen Time. Durham, NC: Healthy Eating Research; 2019. Available at: http://healthyeatingresearch.org

  7. Gortmaker SL, Wang YC, Long MW, Giles CM, Ward ZJ, Barrett JL, …Cradock, AL. Three interventions that reduce childhood obesity are projected to save more than they cost to implement. Health Affairs. 2015; 34(11), 1932–1939.

  8. Morrisey T. The Effects of Early Care And Education on Children’s Health. Health Affairs Health Policy Brief. 2019

Suggested Citation:

Adams B, Sutphin B, Betancourt K, Balamurugan A, Kim H, Bolton A, Barrett J, Reiner J, Cradock AL. Arkansas: Creating Healthier Child Care Environments: Nutrition and Physical Activity Self-Assessment for Child Care (NAP SACC) in the Quality Rating Improvement System (QRIS) {Issue Brief}. Arkansas Department of Health, Little Rock, AR, 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

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 Arkansas 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. 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.

← Back to Resources

Making CHOICES in a Health Department: Case 2 (Advanced)

People drawing on a whiteboard

In this advanced teaching case, which builds on Case 1, a fictional health department continues to work with the CHOICES Project’s Learning Collaborative Partnership to determine how to implement an evidence-based strategy that requires substantial investment, but they face a variety of additional challenges such as state politics and the complexities of health policy.

← Back to Resources

Making CHOICES in a Health Department: Case 1 (Introductory)

In this introductory teaching case, a fictional health department engages with the CHOICES Project’s Learning Collaborative Partnership to help them narrow down a list of potential strategies to reduce childhood obesity in their county through a cost-effectiveness lens.

← Back to Resources

Brief: Supporting Healthy Beverage Choices in Out-of-School Time Programs in Wisconsin

Kids drinking water

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

This brief summarizes a CHOICES Learning Collaborative Partnership model examining a policy to promote healthy beverage choices in licensed out-of-school time (OST) programs in Wisconsin.

The Issue

All children should have opportunities to grow up at a healthy weight. However, consuming sugary drinks, like sports drinks, soda, and fruit drinks sweetened with sugar, poses a health risk to children. In 2012, almost one in four (23.1%) adolescents in Wisconsin drank a sugary drink at least once a day.1

In Wisconsin, more than 120,000 children attend OST programs.2 These educational settings can provide essential opportunities for children to learn healthy eating habits. However, many OST programs in Wisconsin do not provide guidance to children or their families about the types of beverages that should be brought in to drink while children participate in program activities. Many programs must meet high national nutrition standards for the foods and beverages they serve to kids. However, when children bring in their own drinks, they can be less healthy than options served by the programs they attend.3 Promoting only healthy beverage choices in OST programs may improve children’s health by reducing sugary drink consumption.4,5

About the Healthy Beverage Policy

We looked at a strategy that would support OST programs in adopting a healthy beverage policy. Programs that participate in YoungStar, Wisconsin’s childcare quality rating and improvement system, and receive their snacks through meal programs that meet national nutrition standards, were considered the subset of eligible sites. A healthy beverage policy would set nutritional standards for the beverages that could be brought into the OST programs, ensuring that all beverages available in these programs meet national standards that support good nutrition.3 Implementation would include training and informing OST program directors about the need for policy change and ways to incorporate the new policy into their program handbooks. YoungStar Technical Consultants would provide technical assistance to support policy adoption, and program staff would complete surveys annually to monitor policy implementation.

Comparing Costs and Outcomes

A CHOICES cost-effectiveness analysis compared the costs and outcomes of implementing a healthy beverage policy in OST programs with the costs and outcomes associated with not implementing the healthy beverage policy over 10 years (2020-2030).

Implementing a healthy beverage policy in programs in Wisconsin could support good nutrition and save families money. By the end of 2030:

If a healthy beverage policy was implemented in OST programs in Wisconsin, then by the end of 2030, 2,060 children would consume fewer sugary drinks, and children who would no longer bring in sugary drinks would drink 10 fewer ounces of sugary drinks per day. To adopt a healthy beverage policy at OST programs in Wisconsin, it would cost $0.76 per child annually.

Conclusions and Implications

Adopting a healthy beverage policy in OST programs in Wisconsin could promote better health for children and save families money. Over 10 years, this strategy could support 145 programs in creating healthier environments for the more than 33,000 children they will serve. This would cost less than a dollar per child participating in these OST programs per year. Over 10 years, 2,060 children would be consuming 10 fewer ounces of sugary drinks per day on the days they attend the OST program. Over 10 years, this could amount to $555,000 in savings for families who no longer buy sugary beverages for their children to bring into OST programs. Consuming fewer sugary drinks can promote better oral health,6 and prevent more children from having obesity.4 In 2030 alone, it is expected there will be 15 fewer cases of obesity if Wisconsin OST programs implemented healthy beverage policies.

OST programs can play a critical role in helping children establish healthy nutritional habits early on in life. Many providers want to offer an environment that nurtures healthy children, but some programs may need support to integrate new nutrition standards. YoungStar can provide training and resources to help OST program providers adopt nutrition standards that reinforce healthy nutrition habits.7 With training on nutritional standards, OST program directors and program staff would also have the opportunity to learn about and adopt healthier eating habits as well.8 A healthy beverage policy could support OST providers in providing healthier program settings for children in the hours outside of school.

References

  1. CDC, Division of Nutrition, Physical Activity and Obesity. Wisconsin: State Nutrition, Physical Activity, and Obesity Profile. Published September 2012. https://www.cdc.gov/obesity/stateprograms/fundedstates/pdf/wisconsin-state-profile.pdf

  2. Marshfield Clinic Center for Community Outreach. Afterschool in Wisconsin: Building Our Children’s Future, One Program at a Time. https://www.ncsl.org/Portals/1/Documents/educ/Wisconsin_infographic.pdf. Accessed December 18, 2020.

  3. 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.

  4. Malik VS, Schulze MB, Hu FB. Intake of sugar-sweetened beverages and weight gain: a systematic review. American Journal of Clinical Nutrition. 2006;84(2):274– 88.

  5. Khan LK, Sobush K, Keener D, Goodman K, Lowry A, Kakietek J, et al. Recommended community strategies and measurements to prevent obesity in the United States. MMWR Recommendations and Reports. 2009;58(RR-7):1–26.

  6. 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 Nutrition. 2014;17(10):2176-2184.

  7. Wisconsin Department of Children and Families. YoungStar Training and Professional Development. https://dcf.wisconsin.gov/youngstar/providers/training. Accessed January 6, 2021.

  8. Weaver RG, Beets MV, Saunders RP, Beighle A, Webster C. A Comprehensive Professional Development Training’s Effect on Afterschool Program Staff Behaviors to Promote Healthy Eating and Physical Activity. Journal of Public Health Management & Practice. 2014;20(4):E6-E14.

Suggested Citation:

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

Funding for the Survey of the Health of Wisconsin (SHOW) was provided by the Wisconsin Partnership Program PERC Award (233 AAG9971). The authors would also like to thank the University of Wisconsin Survey Center, SHOW administrative, field, and scientific staff, as well as all the SHOW participants for their contributions to this study.

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 Wisconsin Department of Health Services 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.

← Back to Resources