The Impact of a Sweetened Beverage Tax on Beverage Volume Sold in Cook County, Illinois, and Its Border Area

BACKGROUND

Sugar-sweetened beverage (SSB) consumption is linked to adverse health outcomes.

OBJECTIVE

To evaluate the impact of the 2017 Cook County, Illinois, Sweetened Beverage Tax (SBT) on the volume of taxed and untaxed beverages sold in Cook County and its 2-mile border area.

DESIGN

Pre-post intervention-comparison site difference-in-differences study.

SETTING

Cook County, Illinois, and St. Louis City and County, Missouri, 2016 to 2017.

PARTICIPANTS

Universal product code-level store scanner data from supermarkets and grocery, convenience, drug, mass merchandise, and dollar stores.

MEASUREMENTS

Beverage volume sold of taxed and untaxed beverages, across product categories and sizes.

RESULTS

Volume sold of taxed beverages decreased by 27% (ratio of incidence rate ratios [RIRR], 0.73 [95% CI, 0.70 to 0.75]) on average in Cook County relative to St. Louis during the 4 months that the SBT was in effect (compared with the same 4-month pretax period), with a net decrease of 21% after increases in volume sold in its border area (cross-border shopping) were taken into account. The magnitude of the decrease in volume sold across types of taxed beverages was heterogeneous: -32% (RIRR, 0.68 [CI, 0.65 to 0.72]) for soda versus -11% (RIRR, 0.89 [CI, 0.82 to 0.97]) for energy drinks, -37% (RIRR, 0.63 [CI, 0.59 to 0.66]) for artificially sweetened beverages versus -25% (RIRR, 0.75 [CI, 0.72 to 0.79]) for SSBs, and -29% (RIRR, 0.71 [CI, 0.68 to 0.74]) for family-size versus -19% (RIRR, 0.81 [CI, 0.79 to 0.84]) for individual-size beverages. There was no significant change in volume sold of untaxed beverages in Cook County or its border area.

LIMITATION

Data source did not allow for evaluation by store type or distance of outlets from the border.

CONCLUSION

The Cook County SBT led to a substantial reduction in the volume sold of taxed beverages in Cook County. Part of this effect was offset by cross-border shopping. Cross-border shopping was limited to tax avoidance and did not extend to untaxed beverages.

PRIMARY FUNDING SOURCE

Bloomberg Philanthropies.

Changes to SNAP-authorized retailer stocking requirements and the supply of foods and beverages in low-income communities in seven U.S. states

Low-income communities often lack access to supermarkets and healthy foods. Enhanced stocking requirements for staple foods for Supplemental Nutrition Assistance Program (SNAP)-authorized retailers may increase availability of healthy foods in smaller stores which are prevalent in low-income areas. This study aimed to evaluate the extent that small food stores located in low-income areas met the U.S. Department of Agriculture's 2016 final rule on SNAP-authorized retailer stocking requirements, which increased the minimum number of required staple food varieties from three to seven for each staple food category, required a depth of stock of three units of each variety, and increased the required number of categories with perishables from two to three. A multisite research project was conducted in 2017. Nine research teams located in seven U.S. states audited the availability of perishable and nonperishable staple foods and beverages in 351 small food stores in low-income areas. Analyses determined the extent to which stores met all or part of the stocking requirements and tested differences by store type. 30.2% of stores met all of the 2016 final rule requirements; 86.3% met the requirements for fruits and vegetables, whereas only 30.5% met requirements for dairy. 53.1% of non-chain small grocery stores met all requirements compared to 17.1% of convenience stores (p < .0001). Less than one half of the food stores audited met the U.S. Department of Agriculture's 2016 final rule that would expand SNAP-authorized retailer stocking requirements suggesting that, if implemented, the rule may generate increased offerings of staple foods in small stores in low-income areas.

The impact of the Oakland sugar-sweetened beverage tax on bottled soda and fountain drink prices in fast-food restaurants

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Tax pass-through to bottled regular soda was 82% one year post-tax and significant.

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Price increases of bottled diet soda were similar to regular soda but not significant.

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Tax pass-through was not significant for fountain drink prices.

Beverage taxes are increasingly being implemented as an intervention aimed at reducing the consumption of sugar-sweetened beverages (SSBs) and their associated adverse health outcomes. Whether these taxes achieve public health objectives depends, in part, on the extent to which beverage prices increase, known as tax pass-through. Fast-food restaurants are a significant source of SSBs and an environment where the effect of beverage taxes is less understood. This study evaluates the impact of an SSB tax on prices of beverage products sold in fast-food restaurants in Oakland, CA, which implemented a 1-cent per ounce excise tax on SSBs containing 25 or more calories per 12 fluid ounces in 2017. A pre-post intervention difference-in-differences (DID) research design with Sacramento, CA, serving as a comparison site was used to estimate the effect of the tax on fast-food restaurant beverage prices. A panel of fast-food restaurants were audited 1-month pre-tax and 6- and 12-months post-tax. DID regression models with restaurant and product fixed effects were used to estimate tax pass-through to prices of bottled regular (N = 150 observations from 39 restaurants) and diet (N = 106 observations from 32 restaurants) soda and fountain drinks (N = 501 observations from 73 restaurants). Statistically significant (p < 0.05) pass-through of 82% was found for bottled regular soda one year after the tax was implemented. This effect represents an 8% increase in prices from baseline. No statistically significant changes in prices were found in either time period for taxed and untaxed fountain drinks and untaxed bottled diet soda.

Does the built environment influence the effectiveness of behavioral weight management interventions?

Outcomes of behavioral lifestyle interventions for promoting weight loss vary widely across participants. The effectiveness of a weight management intervention may depend on a person's environmental context. This study compared short- and longer-term effects of a structured nationwide weight management program for people living in neighborhoods with different levels of walkability and different access to recreational places (parks, fitness facilities). Drawing on the health production model, we tested competing hypotheses for whether treatment effects of the program complement environmental supports or substitute for environmental constraints. We studied the US Department of Veterans Affairs (VA) MOVE! weight management program using VA electronic heath record data (2009-2014) and a difference-in-differences design with an inverse propensity score matched comparison group. A total of 114,256 program participants and 498,494 non-participants comprised the sample. Built environment features were measured within one-mile of each person's home. We estimated program effects on body mass index (BMI) for subgroups with different built environments at 6-, 12-, 18-, and 24-month follow-up using linear regressions with person and year fixed effects. At 6 months, the program reduced BMI by 0.4-0.6 kg/m2 among men and 0.3-0.5 kg/m2 among women. The effect diminished at 12, 18, and 24 months. The program effect did not vary significantly across subgroups with different walkability, park access, or fitness facility access. The MOVE! program was not sensitive to environmental context. Results did not lend support to either hypothesis that the MOVE! program complements or substitutes for a person's built environment to affect weight management outcomes.

The price of ultra-processed foods and beverages and adult body weight: Evidence from U.S. veterans

The consumption of ultra-processed foods in the U.S. and globally has increased and is associated with lower diet quality, higher energy intake, higher body weight, and poorer health outcomes. This study drew on individual-level data on measured height and weight from U.S. Department of Veterans Affairs medical records for adults aged 20 to 64 from 2009 through 2014 linked to food and beverage price data from the Council for Community and Economic Research to examine the association between the price of ultra-processed foods and beverages and adult body mass index (BMI). We estimated geographic fixed effects models to control for unobserved heterogeneity of prices. We estimated separate models for men and women and we assessed differences in price sensitivity across subpopulations by socioeconomic status (SES). The results showed that a one-dollar increase in the price of ultra-processed foods and beverages was associated with 0.08 lower BMI units for men (p ≤ 0.05) (price elasticity of BMI of -0.01) and 0.14 lower BMI units for women (p ≤ 0.10) (price elasticity of BMI of -0.02). Higher prices of ultra-processed foods and beverages were associated with lower BMI among low-SES men (price elasticity of BMI of -0.02) and low-SES women (price elasticity of BMI of -0.07) but no statistically significant associations were found for middle- or high-SES men or women. Robustness checks based on the estimation of an individual-level fixed effects model found a consistent but smaller association between the price of ultra-processed foods and beverages and BMI among women (price elasticity of BMI of -0.01) with a relatively larger association for low-SES women (price elasticity of BMI of -0.04) but revealed no association for men highlighting the importance of accounting for individual-level unobserved heterogeneity.

Sugar-sweetened beverage prices: Variations by beverage, food store, and neighborhood characteristics, 2017

Sugar-sweetened beverage (SSB) consumption is associated with obesity, type 2 diabetes, and cardiovascular disease. A number of U.S. jurisdictions have levied volume-based specific SSB taxes. This study estimated baseline mean SSB prices across categories and sizes as this will help to determine the percentage increase in price resulting from the imposition of specific taxes.

Data on food store SSB prices were collected in 2017 in Cook County, IL, St. Louis City/County, MO, Oakland, CA, and Sacramento, CA (N = 11,767 product-level observations from 581 stores). Data were weighted to represent volume sold by category and size. Mean prices per ounce were computed across categories and sizes. Linear regression models, clustered on store, were run to estimate associations between price per ounce and product characteristics, neighborhood (linked by census tract) characteristics, store type, and site.

Weighted summary statistics show that the mean price of SSBs was 4.8 cents/oz. Soda was least expensive (3.4 cents/oz), followed by sports drinks (4.8 cents/oz), juice drinks (5.2 cents/oz), ready-to-drink tea/coffee (7.8 cents/oz), and energy drinks (19.9 cents/oz). Prices were higher for individual-sized (9.6 cents/oz) compared to family-sized drinks (>1 L/multi-pack; 3.5 cents/oz). Regression results revealed that prices were lower in stores in majority non-Hispanic black tracts and varied by beverage characteristics and store type but not tract-level socioeconomic status.

Given substantial variation in prices by SSB category, a penny-per-ounce SSB tax, if fully passed through, would increase soda prices by 29% versus 5% for energy drinks, highlighting the potential importance of different specific tax rates across beverage categories.

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The mean price of sugar-sweetened beverages (SSBs) was 4.8 cents/oz.

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Prices varied substantially by category and were higher for individual-sized drinks.

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Prices ranged from 3.4 cents/oz for soda to 19.9 cents/oz for energy drinks.

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Prices were lower in majority non-Hispanic black census tracts.

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Prices varied by store type.

The Use of Excise Taxes to Reduce Tobacco, Alcohol, and Sugary Beverage Consumption

In countries around the world, tobacco use, excessive alcohol consumption, and consumption of sugar-sweetened beverages (SSBs) are significant contributors to the global epidemic of noncommunicable diseases. As a consequence, they contribute, as well, to excess health care costs and productivity losses. A large and growing body of research documents that taxes specific to such products, known as excise taxes, reduce consumption of these products and thereby diminish their adverse health consequences. Although such taxation has historically been motivated primarily by revenue generation, governments are increasingly using these taxes to discourage unhealthy consumption. We review the global evidence on the impact of taxes and prices on the consumption of these products and the health and social consequences. We then evaluate arguments commonly raised against these taxes, identify best practices in excise tax policy, and conclude with a summary of the current status of tobacco, alcohol, and SSB excise taxes globally.

Change in Food and Beverage Availability and Marketing Following the Introduction of a Healthy Food Financing Initiative–Supported Supermarket

Purpose:

The Healthy Food Financing Initiative (HFFI) aims to expand access to healthy foods in low-resourced communities across the United States. This study examined changes in food and beverage availability and marketing in nearby small food stores after the opening of an HFFI-supported supermarket in a predominately low-income and African American community.

Design:

Natural experiment.

Setting:

Rockford, Illinois.

Participants:

A full audit was conducted of the small grocery and limited service stores located in a 1-mile radius around the new supermarket (N = 22) and a 1-square mile area within a nearby demographically matched comparison community (N = 18). Stores were audited in 2015 (1 month preopening) and 2016 (1 year afterward).

Measures:

Store characteristics, item availability, and interior and exterior promotions/advertisements were examined.

Analysis:

Difference-in-difference (DID) regression models assessed pre- and postintervention changes in availability and marketing between small food stores in the intervention and comparison communities.

Results:

The DID regression models indicated no difference between intervention and comparison communities with respect to changes in availability and marketing of all food items with the exception of frozen vegetables which had higher availability postintervention in the comparison community versus intervention (β for interaction term = .67; standard error: 0.33; P = .04).

Conclusion:

After the opening of the HFFI-supported supermarket, food and beverage availability and marketing in nearby small food stores did not change significantly. However, the wide range of staple foods offered by the supermarket contributed to the expansion of healthy food retail in the intervention community.

Does Effectiveness of Weight Management Programs Depend on the Food Environment?

OBJECTIVE

To estimate the causal effects of a population-scale behavioral weight management program and to determine whether the program's effectiveness depends on participants' geographic access to places to purchase healthy and less healthy foods.

DATA SOURCES

Secondary data from U.S. Department of Veterans Affairs clinical and administrative records (2008-2014), retail food environment measures from commercial databases (2008-2014), and the American Community Survey (2009-2014).

STUDY DESIGN

We estimated the effect of the VA's MOVE! weight management program on body mass index after 6 months using difference-in-difference regressions to compare participants with a propensity score-matched control group. We estimated treatment effects overall and in subgroups with different access to supermarkets, fast-food restaurants, and convenience stores.

PRINCIPAL FINDINGS

MOVE! reduced BMI by about 0.71 units among men and 0.70 units among women. The program was slightly less effective for men living near fast-food restaurants or convenience stores. We found no evidence that treatment effects varied with the food environment among women.

CONCLUSIONS

The residential food environment modestly alters MOVE! effectiveness among men. A greater understanding of environmental barriers to and facilitators of intentional weight loss is needed. This study highlights important potential intersections between health care and the community.

Drug Shortage Impacts Patient Receipt of Induction Treatment

OBJECTIVE

Examine the impact of the 2011 shortage of the drug cytarabine on patient receipt and timeliness of induction treatment for Acute Myeloid Leukemia (AML).

STUDY DESIGN

A retrospective cohort was utilized to examine odds of receipt of inpatient induction chemotherapy and time to first dose across major (N = 105) and moderate (N = 316) shortage time periods as compared to a nonshortage baseline (N = 1,147).

DATA COLLECTION/EXTRACTION METHODS

De-identified patient data from 2008 to 2011 Surveillance, Epidemiology, and End Results (SEER) were linked to 2007-2013 Medicare claims and 2007-2013 Hospital Characteristics.

PRINCIPAL FINDINGS

Compared to prior nonshortage time period, patients diagnosed during a major drug shortage were 47 percent less likely (p < .05) to receive inpatient chemotherapy within 14 days of diagnosis. Patients who were younger, had a lower Charlson Comorbidity score, and for whom AML was a first primary cancer were prioritized across all periods.

CONCLUSIONS

Period of major shortage of a generic oncolytic, without an equivalent therapeutic substitute, reduced timely receipt of induction chemotherapy treatment. More favorable economic and regulatory policies for generic drug suppliers might result in greater availability of essential, older generic drug products that face prolonged or chronic shortage.

Geographic Accessibility Of Food Outlets Not Associated With Body Mass Index Change Among Veterans, 2009-14

In recent years, various levels of government in the United States have adopted or discussed subsidies, tax breaks, zoning laws, and other public policies that promote geographic access to healthy food. However, there is little evidence from large-scale longitudinal or quasi-experimental research to suggest that the local mix of food outlets actually affects body mass index (BMI). We used a longitudinal design to examine whether the proximity of food outlets, by type, was associated with BMI changes between 2009 and 2014 among 1.7 million veterans in 382 metropolitan areas. We found no evidence that either absolute or relative geographic accessibility of supermarkets, fast-food restaurants, or mass merchandisers was associated with changes in an individual's BMI over time. While policies that alter only geographic access to food outlets may promote equitable access to healthy food and improve nutrition, our findings suggest they will do little to combat obesity in adults.

Leveraging delay discounting for health: Can time delays influence food choice?

Delay discounting, the tendency to choose smaller immediate rewards over larger delayed rewards, is theorized to promote consumption of immediately rewarding but unhealthy foods at the expense of long-term weight maintenance and nutritional health. An untested implication of delay discounting models of decision-making is that selectively delaying access to less healthy foods may promote selection of healthier (immediately available) alternatives, even if they may be less desirable. The current study tested this hypothesis by measuring healthy versus regular vending machine snack purchasing before and during the implementation of a 25-s time delay on the delivery of regular snacks. Purchasing was also examined under a $0.25 discount on healthy snacks, a $0.25 tax on regular snacks, and the combination of both pricing interventions with the 25-s time delay. Across 32,019 vending sales from three separate vending locations, the 25-s time delay increased healthy snack purchasing from 40.1% to 42.5%, which was comparable to the impact of a $0.25 discount (43.0%). Combining the delay and the discount had a roughly additive effect (46.0%). However, the strongest effects were seen under the $0.25 tax on regular snacks (53.7%) and the combination of the delay and the tax (50.2%). Intervention effects varied substantially between vending locations. Importantly, time delays did not harm overall vending sales or revenue, which is relevant to the real-world feasibility of this intervention. More investigation is needed to better understand how the impact of time delays on food choice varies across populations, evaluate the effects of time delays on beverage vending choices, and extend this approach to food choices in contexts other than vending machines.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT02359916.

Weight and Veterans' Environments Study (WAVES) I and II: Rationale, Methods, and Cohort Characteristics

PURPOSE

To present the rationale, methods, and cohort characteristics for 2 complementary "big data" studies of residential environment contributions to body weight, metabolic risk, and weight management program participation and effectiveness.

DESIGN

Retrospective cohort.

SETTING

Continental United States.

PARTICIPANTS

A total of 3 261 115 veterans who received Department of Veterans Affairs (VA) health care in 2009 to 2014, including 169 910 weight management program participants and a propensity score-derived comparison group.

INTERVENTION

The VA MOVE! weight management program, an evidence-based lifestyle intervention.

MEASURES

Body mass index, metabolic risk measures, and MOVE! participation; residential environmental attributes (eg, food outlet availability and walkability); and MOVE! program characteristics.

ANALYSIS

Descriptive statistics presented on cohort characteristics and environments where they live.

RESULTS

Forty-four percent of men and 42.8% of women were obese, whereas 4.9% of men and 9.9% of women engaged in MOVE!. About half of the cohort had at least 1 supermarket within 1 mile of their home, whereas they averaged close to 4 convenience stores (3.6 for men, 3.9 for women) and 8 fast-food restaurants (7.9 for men, 8.2 for women). Forty-one percent of men and 38.6% of women did not have a park, and 35.5% of men and 31.3% of women did not have a commercial fitness facility within 1 mile.

CONCLUSION

Drawing on a large nationwide cohort residing in diverse environments, these studies are poised to significantly inform policy and weight management program design.

Employment impacts of alcohol taxes

There is strong scientific evidence supporting the effectiveness of increasing alcohol taxes for reducing excessive alcohol consumption and related problems. Opponents have argued that alcohol tax increases lead to job losses. However, there has been no comprehensive economic analysis of the impact of alcohol taxes on employment. To fill this gap, a regional macroeconomic simulation model was used to assess the net impact of two hypothetical alcohol tax increases (a 5-cent per drink excise tax increase and a 5% sales tax increase on beer, wine, and distilled spirits, respectively) on employment in Arkansas, Florida, Massachusetts, New Mexico, and Wisconsin. The model accounted for changes in alcohol demand, average state income, and substitution effects. The employment impact of spending the new tax revenue on general expenditures versus health care was also assessed. Simulation results showed that a 5-cent per drink additional excise tax on alcoholic beverages with new tax revenues allocated to general expenditures increased net employment in Arkansas (802 jobs); Florida (4583 jobs); Massachusetts (978 jobs); New Mexico (653 jobs); and Wisconsin (1167 jobs). A 5% additional sales tax also increased employment in Arkansas (789 jobs; Florida (4493 jobs); Massachusetts (898 jobs); New Mexico (621 jobs); and Wisconsin (991 jobs). Using new alcohol tax revenues to fund health care services resulted in slightly lower net increases in state employment. The overall economic impact of alcohol tax increases cannot be fully assessed without accounting for the job gains resulting from additional tax revenues.

Neighborhood Resources to Support Healthy Diets and Physical Activity Among US Military Veterans

Introduction

Among the nearly 21 million military veterans living in the United States, 64.0% of women and 76.1% of men are overweight or obese, higher rates than in the civilian population (56.9% of women and 69.9% of men). Attributes of the residential environment are linked to obesity. The objective of this study was to characterize the residential environments of the US veteran population with respect to availability of food and recreational venues.

Methods

We used American Community Survey data to determine the concentration of veterans (the percentage of veterans among the adult population) in all continental US census tracts in 2013, and we used proprietary data to construct measures of availability of food and recreational venues per census tract. Using descriptive statistics and ordinary least-squares regression, we examined associations between the concentration of veterans per census tract and those residential environmental features.

Results

In census tracts with high concentrations of veterans, residents had, on average, 0.5 (interquartile range, 0–0.8) supermarkets within a 1-mile radius, while residents in census tracts with low concentrations of veterans had 3.2 (interquartile range, 0.6–3.7) supermarkets. Patterns were similar for grocery and convenience stores, fast food restaurants, parks, and commercial fitness facilities. In adjusted analyses controlling for census-tract–level covariates, veteran concentration remained strongly negatively associated with availability of those food and recreational venues. In nonmetropolitan tracts, adjusted associations were greatly attenuated and even positive.

Conclusion

Where veterans live is strongly associated with availability of food outlets providing healthy (and unhealthy) foods and with recreational venues, raising questions about the contributions of veterans’ residential environments to their high obesity rates. Additional research is needed to address those questions.

Food and Beverage Availability in Small Food Stores Located in Healthy Food Financing Initiative Eligible Communities

Food deserts are a major public health concern. This study aimed to assess food and beverage availability in four underserved communities eligible to receive funding from the Healthy Food Financing Initiative (HFFI). Data analyzed are part of a quasi-experimental study evaluating the impact of the HFFI on the retail food environment in selected Illinois communities. In 2015, 127 small grocery and limited service stores located in the four selected communities were audited. All communities had a large percentage of low-income and African-American residents. Differences in food and beverage item availability (e.g., produce, milk, bread, snack foods) were examined by store type and community location. Food stores had, on average, 1.8 fresh fruit and 2.9 fresh vegetable options. About 12% of stores sold low-fat milk while 86% sold whole milk. Only 12% of stores offered 100% whole wheat bread compared to 84% of stores offering white bread. Almost all (97%) stores offered soda and/or fruit juice. In summary, we found limited availability of healthier food and beverage items in the communities identified for HFFI support. Follow up findings will address how the introduction of new HFFI-supported supermarkets will affect food and beverage availability in these communities over time.

Food and beverage television advertising exposure and youth consumption, body mass index and adiposity outcomes

This study examined the relationships between exposure to food and beverage product television advertisements and consumption and obesity outcomes among youth. Individual-level data on fast-food and soft drink consumption and body mass index (BMI) for young adolescents from the Early Childhood Longitudinal Study - Kindergarten Cohort (1998-1999) and adiposity measures for children from the U.S. National Health and Nutrition Examination Survey (2003-2004) were combined with designated market area (DMA) Nielsen media advertising ratings data. To account for unobserved individual-level and DMA-level heterogeneity, various fixed- and random-effects models were estimated. The results showed that exposure to soft drink and sugar-sweetened beverage advertisements are economically and statistically significantly associated with higher frequency of soft drink consumption among youth even after controlling for unobserved heterogeneity, with elasticity estimates ranging from 0.4 to 0.5. The association between fast-food advertising exposure and fast-food consumption disappeared once we controlled for unobservables. Exposure to cereal advertising was significantly associated with young adolescents' BMI percentile ranking but exposures to fast-food and soft drink advertisements were not. The results on adiposity outcomes revealed that children's exposure to cereal advertising was associated with both percent body and trunk fatness; fast-food advertising was significantly associated with percent trunk fatness and marginally significantly associated with percent body fatness; and, exposure to SSB advertising was marginally significantly associated with percent body and trunk fatness. The study results suggest that continued monitoring of advertising is important and policy debates regarding the regulation of youth-directed marketing are warranted.

To what extent do food purchases reflect shoppers' diet quality and nutrient intake?

BACKGROUND

Food purchasing is considered a key mediator between the food environment and eating behavior, and food purchasing patterns are increasingly measured in epidemiologic and intervention studies. However, the extent to which food purchases actually reflect individuals' dietary intake has not been rigorously tested. This study examined cross-sectional agreement between estimates of diet quality and nutrient densities derived from objectively documented household food purchases and those derived from interviewer-administered 24-h diet recalls. A secondary aim was to identify moderator variables associated with attenuated agreement between purchases and dietary intake.

METHODS

Primary household food shoppers (N = 196) collected and annotated receipts for all household food and beverage purchases (16,356 total) over 14 days. Research staff visited participants' homes four times to photograph the packaging and nutrition labels of each purchased item. Three or four multiple-pass 24-h diet recalls were performed within the same 14-d period. Nutrient densities and Healthy Eating Index-2010 (HEI-2010) scores were calculated from both food purchase and diet recall data.

RESULTS

HEI-2010 scores derived from food purchases (median = 60.9, interquartile range 49.1-71.7) showed moderate agreement (ρc = .57, p < .0001) and minimal bias (-2.0) with HEI-2010 scores from 24-h recalls (median = 60.1, interquartile range 50.8-73.9). The degree of observed bias was unrelated to the number of food/beverage purchases reported or participant characteristics such as social desirability, household income, household size, and body mass. Concordance for individual nutrient densities from food purchases and 24-h diet recalls varied widely from ρc = .10 to .61, with the strongest associations observed for fiber (ρc = .61), whole fruit (ρc = .48), and vegetables (ρc = .39).

CONCLUSIONS

Objectively documented household food purchases yield an unbiased and reasonably accurate estimate of overall diet quality as measured through 24-h diet recalls, but are generally less useful for characterizing dietary intake of specific nutrients. Thus, some degree of caution is warranted when interpreting food purchase data as a reflection of diet in epidemiological and clinical research. Future work should examine agreement between food purchases and nutritional biomarkers.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT02073643 . Retrospectively registered.

A step-by-step approach to improve data quality when using commercial business lists to characterize retail food environments

BACKGROUND

Food environment characterization in health studies often requires data on the location of food stores and restaurants. While commercial business lists are commonly used as data sources for such studies, current literature provides little guidance on how to use validation study results to make decisions on which commercial business list to use and how to maximize the accuracy of those lists. Using data from a retrospective cohort study [Weight And Veterans' Environments Study (WAVES)], we (a) explain how validity and bias information from existing validation studies (count accuracy, classification accuracy, locational accuracy, as well as potential bias by neighborhood racial/ethnic composition, economic characteristics, and urbanicity) were used to determine which commercial business listing to purchase for retail food outlet data and (b) describe the methods used to maximize the quality of the data and results of this approach.

METHODS

We developed data improvement methods based on existing validation studies. These methods included purchasing records from commercial business lists (InfoUSA and Dun and Bradstreet) based on store/restaurant names as well as standard industrial classification (SIC) codes, reclassifying records by store type, improving geographic accuracy of records, and deduplicating records. We examined the impact of these procedures on food outlet counts in US census tracts.

RESULTS

After cleaning and deduplicating, our strategy resulted in a 17.5% reduction in the count of food stores that were valid from those purchased from InfoUSA and 5.6% reduction in valid counts of restaurants purchased from Dun and Bradstreet. Locational accuracy was improved for 7.5% of records by applying street addresses of subsequent years to records with post-office (PO) box addresses. In total, up to 83% of US census tracts annually experienced a change (either positive or negative) in the count of retail food outlets between the initial purchase and the final dataset.

DISCUSSION

Our study provides a step-by-step approach to purchase and process business list data obtained from commercial vendors. The approach can be followed by studies of any size, including those with datasets too large to process each record by hand and will promote consistency in characterization of the retail food environment across studies.

Built environment assessment: Multidisciplinary perspectives

Context

As obesity has become increasingly widespread, scientists seek better ways to assess and modify built and social environments to positively impact health. The applicable methods and concepts draw on multiple disciplines and require collaboration and cross-learning. This paper describes the results of an expert team׳s analysis of how key disciplinary perspectives contribute to environmental context-based assessment related to obesity, identifies gaps, and suggests opportunities to encourage effective advances in this arena.

Evidence acquisition

A team of experts representing diverse disciplines convened in 2013 to discuss the contributions of their respective disciplines to assessing built environments relevant to obesity prevention. The disciplines include urban planning, public health nutrition, exercise science, physical activity research, public health and epidemiology, behavioral and social sciences, and economics. Each expert identified key concepts and measures from their discipline, and applications to built environment assessment and action. A selective review of published literature and internet-based information was conducted in 2013 and 2014.

Evidence synthesis

The key points that are highlighted in this article were identified in 2014–2015 through discussion, debate and consensus-building among the team of experts. Results focus on the various disciplines׳ perspectives and tools, recommendations, progress and gaps.

Conclusions

There has been significant progress in collaboration across key disciplines that contribute to studies of built environments and obesity, but important gaps remain. Using lessons from interprofessional education and team science, along with appreciation of and attention to other disciplines׳ contributions, can promote more effective cross-disciplinary collaboration in obesity prevention.

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Gaps in collaboration in studies of built environments and obesity remain.

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Lessons from interprofessional education can promote more effective collaboration.

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More attention to other disciplines’ contributions will yield greater health impact.

Supplemental nutrition assistance program participation and sugar-sweetened beverage consumption, overall and by source

INTRODUCTION

This paper examined patterns in adults' sugar-sweetened beverage (SSB) consumption and caloric intake by Supplemental Nutrition Assistance Program (SNAP) participation status and by source of purchases in the United States (US).

METHOD

Cross-sectional analysis of consumption of SSBs by source of purchases using 24-hour dietary recall data obtained from the US National Health and Nutrition Examination Survey 2003-2010 (N=17,891). Bivariate analysis and multivariable regressions were used to examine the association between SNAP participation and SSB calories consumed overall and by source.

RESULTS

SSBs account for approximately 12% of total daily caloric intake (258 kcal) among SNAP participants, higher than that of SNAP-eligible nonparticipants (9% total daily intake, 205 kcal) and SNAP-ineligible nonparticipants (6% total daily intake, 153 kcal). Among income-eligible adults, participating in SNAP is associated with 28.9 additional SSB calories, of which most were obtained from a store. From 2003-04 to 2009-10, SSB prevalence and caloric intake were flat among SNAP participants while it declined among both SNAP-eligible and SNAP-ineligible nonparticipants; this pattern held for all sources of SSBs except for those purchased from fast-food restaurants, which were not statistically reduced among nonparticipants.

CONCLUSION

SNAP participants consumed more SSB calories compared to SNAP-eligible nonparticipants; and their SSB prevalence and caloric intake trend was flat over the 2003-04 to 2009-10 period. SNAP-Education interventions that focus on improving access to healthy food in poor neighborhoods may benefit SNAP participants.

Prepared Food Availability in U.S. Food Stores: A National Study

INTRODUCTION

Prepared, ready-to-eat foods comprise a significant part of Americans' diets and are increasingly obtained from food stores. Yet, little is known about the availability and healthfulness of prepared, ready-to-eat food offerings at stores. This study examines associations among community characteristics (racial/ethnic composition, poverty level, urbanicity) and availability of both healthier and less-healthy prepared foods in U.S. supermarkets, grocery stores, and convenience stores.

METHODS

Observational data were collected from 4,361 stores in 317 communities spanning 42 states in 2011 and 2012. Prepared food availability was assessed via one healthier food (salads or salad bar), three less-healthy items (pizza, hot dog/hamburger, taco/burrito/taquito), and one cold sandwich item. In 2014, multivariable generalized linear models were used to test associations with community characteristics.

RESULTS

Overall, 63.6% of stores sold prepared foods, with 20.0% offering prepared salads and 36.4% offering at least one less-healthy item. Rural stores were 26% less likely to carry prepared salads (prevalence ratio [PR]=0.74, 95% CI=0.62, 0.88) and 14% more likely to carry at least one less-healthy prepared food item (PR=1.14, 95% CI=1.00, 1.30). Convenience stores in high-poverty communities were less likely to carry prepared salads than those in low-poverty communities (PR=0.64, 95% CI=0.47, 0.87). Among supermarkets, prepared salads were more likely to be carried in majority-white, low-poverty communities than in non-white, high-poverty communities.

CONCLUSIONS

Increasing the healthfulness of prepared foods within stores may offer an important opportunity to improve the food environment.

Socioeconomic Differences in the Association Between Competitive Food Laws and the School Food Environment

BACKGROUND

Schools of low socioeconomic status (SES) tend to sell fewer healthy competitive foods/beverages. This study examined whether state competitive food laws may reduce such disparities.

METHODS

School administrators for fifth- and eighth grade reported foods and beverages sold in school. Index measures of the food/beverage environments were constructed from these data. Schools were classified into SES tertiles based on median household income of students' postal zip code. Regression models were used to estimate SES differences in (1) Healthy School Food Environment Index (HSFEI) score, Healthy School Beverage Environment Index (HSBEI) score, and specific food/beverage sales, and (2) associations between state competitive food/beverage laws and HSFEI score, HSBEI score, and specific food/beverage sales.

RESULTS

Strong competitive food laws were positively associated with HSFEI in eighth grade, regardless of SES. Strong competitive beverage laws were positively associated with HSBEI particularly in low-SES schools in eighth grade. These associations were attributable to schools selling fewer unhealthy items, not providing healthy alternatives. High-SES schools sold more healthy items than low-SES schools regardless of state laws.

CONCLUSIONS

Strong competitive food laws may reduce access to unhealthy foods/beverages in middle schools, but additional initiatives are needed to provide students with healthy options, particularly in low-SES areas.