Effects of in-store marketing on food and beverage purchases: a longitudinal study of households with children.

OBJECTIVE: Most food retailers display foods in prominent locations as a marketing strategy (i.e. 'placement promotions'). We examined the extent to which households with children change their food and beverage purchases in response to these promotions. DESIGN: We analysed a novel dataset of all products promoted in two supermarkets from 2016 to 2017, including promotion dates and locations (e.g. aisle endcaps and front registers). We linked promotions to all purchases from the supermarkets from 2016 to 2017 by a cohort of households with children. We calculated the number of weekly promotions in each of thirteen food and beverage groups (e.g. bread; candy) and used fixed effects regressions to estimate associations between number of weekly promotions and households' weekly food purchases, overall and by Supplemental Nutrition Assistance Program (SNAP) participation. SETTING: Two large supermarkets in Maine, USA. PARTICIPANTS: Eight hundred and twenty-one households with children. RESULTS: Most promotions (74 %) were for less healthy foods. The most promoted food groups were sweet and salty snacks (mean = 131·0 promotions/week), baked goods (mean = 68·2) and sugar-sweetened beverages (mean = 41·6). Households generally did not change their food group purchases during weeks when they were exposed to more promotions for those groups, except that a 1-sd increase in endcap candy promotions (about 1 promotion/week) was associated with $0·19/week (about 14·5 %) increase in candy purchases among SNAP nonparticipants (adjusted P < 0·001). CONCLUSIONS: In-store placement promotions for food groups were generally not associated with purchases of promoted food groups, perhaps because exposure to unhealthy food marketing was consistently high. Substantial changes to in-store food marketing may be needed to promote healthier purchases.

Philadelphia Beverage Tax and Association With Prices, Purchasing, and Individual-Level Substitution in a National Pharmacy Chain.

Importance: Taxes on sweetened beverages are being implemented around the globe; an understanding of these taxes on individual-level behavior is necessary. Objective: To evaluate the degree to which the sweetened beverage tax in Philadelphia, Pennsylvania, was associated with changes in beverage prices and individual-level purchasing over time at a national pharmacy chain in Philadelphia compared with Baltimore, Maryland. Design, Setting, and Participants: Using a difference-in-differences approach and generalized linear mixed models, this cohort study examined beverage purchases made by loyalty cardholders at a national chain pharmacy retailer with stores in Philadelphia and Baltimore (control city) from before tax to after tax. Beverage sales (in US dollars) were linked by unique loyalty card numbers to enable longitudinal analyses. Data were collected from January 1, 2015, through December 31, 2017 (2 years before tax and 1 year after tax); data analyses were conducted from January through October 2022. Exposure: Implementation of Philadelphia's 1.5 cents/oz tax on sweetened beverages. Main Outcomes and Measures: The outcomes were the change in mean beverage price per-ounce and mean beverage volume purchased per cardholder transaction. Individual-level point-of-sale scanner data from all beverage purchases were analyzed. Results: A total of 1188 unique beverages were purchased from the same stores before tax and after tax. There were 231 065 unique cardholders in Philadelphia and 82 517 in Baltimore. Mean prices of taxed beverages (n = 2 094 220) increased by 1.6 (95% CI, 1.3-2.0) cents/oz (106.7% pass-through) in Philadelphia compared with Baltimore from before tax to after tax. Philadelphia cardholders purchased 7.8% (95% CI -8.1% to -7.5%) fewer ounces of taxed beverages and 1.1% (95% CI, 0.6%-1.7%) more ounces of nontaxed beverages per transaction. Taxed beverages made up a smaller percentage of cardholders' overall beverage purchases after tax (-13.4% [95% CI, -14.2% to -12.6%]), while nontaxed beverages made up a larger share (9.3% [95% CI, 7.7%-10.7%]). Conclusions and Relevance: In this longitudinal cohort study of the Philadelphia beverage tax, the tax was completely passed through to prices and was associated with a 7.8% decline in ounces of taxed beverages purchased at a national pharmacy chain.

The societal costs and health impacts on obesity of BMI report cards in US schools.

OBJECTIVE: This study aimed to estimate the 10-year cost-effectiveness of school-based BMI report cards, a commonly implemented program for childhood obesity prevention in the US where student BMI is reported to parents/guardians by letter with nutrition and physical activity resources, for students in grades 3 to 7. METHODS: A microsimulation model, using data inputs from evidence reviews on health impacts and costs, estimated: how many students would be reached if the 15 states currently measuring student BMI (but not reporting to parents/guardians) implemented BMI report cards from 2023 to 2032; how many cases of childhood obesity would be prevented; expected changes in childhood obesity prevalence; and costs to society. RESULTS: BMI report cards were projected to reach 8.3 million children with overweight or obesity (95% uncertainty interval [UI]: 7.7-8.9 million) but were not projected to prevent any cases of childhood obesity or significantly decrease childhood obesity prevalence. Ten-year costs totaled $210 million (95% UI: $30.5-$408 million) or $3.33 per child per year with overweight or obesity (95% UI: $3.11-$3.68). CONCLUSIONS: School-based BMI report cards are not cost-effective childhood obesity interventions. Deimplementation should be considered to free up resources for implementing effective programs.

Disparities in Cardiovascular Health by Food Security Status and Supplemental Nutrition Assistance Program Participation Using Life's Essential 8 Metrics.

This cross-sectional study examines the associations among household food security, Supplemental Nutrition Assistance Program participation, and cardiovascular health among 2013-2018 National Health and Nutrition Examination Survey participants.

Employees' Baseline Food Choices and the Effect of a Workplace Intervention to Promote Healthy Eating: Secondary Analysis of the ChooseWell 365 Randomized Controlled Trial.

BACKGROUND: Little is known about whether the effectiveness of workplace wellness programs differs by employees' baseline health behaviors. OBJECTIVE: This study examined the association of baseline cafeteria food choices with the effect of a workplace intervention on cafeteria food choices, dietary quality, and body mass index (BMI). DESIGN: This was a secondary analysis of the ChooseWell 365 randomized controlled trial, testing a set of behavioral interventions to improve diet and prevent weight gain. PARTICIPANTS/SETTING: Participants were 602 employees of a Boston, MA, hospital who had purchased food from cafeterias, which used traffic-light food labeling. Data were collected in 2016-2020. INTERVENTION: The 12-month intervention (plus 12 months' follow-up) involved financial incentives and personalized feedback on cafeteria purchases. The control group received monthly letters with generic healthy eating and exercise tips. MAIN OUTCOME MEASURES: Healthy purchasing scores (HPS) were calculated by weighting color categories (red = 0, yellow = 0.5, green = 1) and scaling from 0 to 100 (healthiest); employees were categorized into baseline (pre-intervention) HPS tertiles (T1 = least healthy, T3 = healthiest). Healthy eating index (HEI-2015) scores were calculated from two 24-hour dietary recalls. Intervention effects on 12- and 24-month changes in HPS (primary outcome), HEI-2015 score, and BMI were compared among tertiles. Subgroup analyses examined whether changes by tertile varied with financial rewards received. STATISTICAL ANALYSES: Adjusting for baseline characteristics, multivariable linear regression assessed intervention effects across baseline HPS tertiles. RESULTS: Compared with T3, T1 employees had lower education; higher obesity, hypertension, and pre-diabetes; and lower HEI-2015 scores. The intervention increased HPS, but no change was observed in HEI-2015 scores or BMI; the intervention effect did not differ among tertiles at 12 or 24 months. Financial incentives were associated with a larger effect on 12-month HPS changes for T1 than for T2/T3 (P-interaction < 0.001). CONCLUSION: Compared with employees with healthier baseline food choices, employees with the least healthy food choices and highest cardiometabolic risk had similar improvements in the nutritional quality of cafeteria purchases as a result of the behavioral intervention, and they appeared to be more responsive to financial incentives.

In-Store Marketing and Supermarket Purchases: Associations Overall and by Transaction SNAP Status.

INTRODUCTION: In-store placement promotions are used widely in supermarkets, but their effects on customer purchases remain largely unknown. This study examined associations of supermarket placement promotions with customer purchases overall and by Supplemental Nutrition Assistance Program (SNAP) benefit use. METHODS: Data on in-store promotions (e.g., endcaps, checkout displays) and transactions (n=274,118,338) were obtained from a New England supermarket chain with 179 stores from 2016 to 2017. Product-level analyses examined multivariable-adjusted changes in products' sales when they were promoted (versus not) across all transactions and stratified by whether the transaction was paid for with SNAP benefits. Food group-level analyses examined the extent to which a 20% increase from the mean number of weekly promotions for a food group (e.g., increasing the number of candy promotions from 17.0 to 20.4) was associated with total food group sales. Analyses were conducted in 2022. RESULTS: Across stores, the mean (SD) number of promotions per week was highest for sweet/salty snacks (126.3 [22.6]), baked goods (67.5 [18.4]), and sugar-sweetened beverages (48.6 [13.8]) and lowest for beans (5.0 [2.6]) and fruits (6.6 [3.3]). Product sales were between 16% (low-calorie drinks) and 136% (candy) higher when promoted versus not promoted. In 14 of 15 food groups, associations were stronger among transactions made with SNAP benefits than among those not made with SNAP benefits. The number of in-store promotions was generally not associated with total food group sales. CONCLUSIONS: In-store promotions, which were mostly for unhealthy foods, were associated with large product sales increases, particularly among SNAP purchasers. Policies limiting unhealthy in-store promotions and incentivizing healthy promotions should be explored.

An Analysis of SNAP Online Purchasing Behavior in California: A Review of the First 7 Months of Program Implementation and Lessons Learned.

PURPOSE: The Supplemental Nutrition Assistance Program (SNAP) Online Purchasing Pilot (OPP) allows for the online purchase of groceries using SNAP benefits. First implemented in California in late April 2020, little is known about program usage. This study assessed initial implementation of SNAP Online in California using SNAP OPP transaction data from April - October 2020. Insights can identify usage differences by demographics, store availability, and rurality to help inform future pilot programs and nutrition initiatives. DESIGN: Using generalized estimating equations, we modeled county-level associations between transactions and county-level demographics, rurality, and retailer availability. SETTING: Transaction data from California's Department of Social Services (CDSS) was linked with publicly-available, county-level demographics. SUBJECTS: Anonymized county-level data on SNAP Online transactions and CalFresh households. MEASURES: The primary outcome was successful SNAP Online food transactions per county. ANALYSIS: Generalized estimating equation models with clustering by county was used. RESULTS: During the first 7 months, median SNAP Online transactions per county per month was 665; 2.7% of total SNAP redemptions were from SNAP Online. Counties with more female-led, disabled, Latino, or Asian CalFresh households had fewer Amazon transactions. Each additional Walmart per county corresponded to 260.7 more Walmart transactions (P < .001). Each percent increase in county zip codes covered by Amazon Fresh corresponded to 45.4 fewer Walmart transactions (P < .05) and 37.3 more Amazon transactions (P < .001). CONCLUSION: Number of stores per county was associated with greater online grocery transactions, whereas rurality was not. County-level SNAP demographics correlated with transactions at particular retailers.

A Descriptive Analysis of Redemption Patterns by Vendor Type Among: WIC Participants in Massachusetts.

BACKGROUND: The retail environment is an important determinant of food package redemption in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). OBJECTIVE: The objectives of this study were to describe where Massachusetts WIC households redeemed their food benefits each month and monthly variations in benefit redemption depending on a household's most frequently used vendor type each month. DESIGN: These were cross-sectional and longitudinal analyses of administrative data provided by Massachusetts WIC. PARTICIPANTS/SETTING: Monthly redemption data for 209,973 households shopping at approximately 1,000 unique vendors between January 2015 and August 2019 were analyzed. MAIN OUTCOME MEASURES: Outcomes were mean monthly percentage of households that relied on each vendor type when redeeming benefits and mean monthly percent redemption for each benefit category. STATISTICAL ANALYSES PERFORMED: For each month, households were classified as using 1 of 8 vendor types. The monthly percentage of households redeeming at each vendor type was calculated, as well as the monthly percent redemption for each benefit category by vendor type. The averages of these monthly percentages were computed for 2015 and 2019. Data from months when households did not redeem any benefits were excluded from primary analyses because it was not possible to determine their vendor type for that month. RESULTS: On average across months in 2019, the majority of Massachusetts WIC households (63%) relied on large vendors only (ie, superstores, supermarkets, and large grocery stores) when redeeming benefits, and 5% relied on small grocery or convenience stores only. Between 2015 and 2019, mean monthly reliance on small grocery and convenience stores decreased by 3.1 and 0.7 percentage points, respectively. Compared with other vendor types, households that redeemed benefits at superstores only had, in an average month, lower redemption levels for most benefit categories. For example, in the 2019 mean across months, percent redemption of breakfast cereal was 53% among households redeeming at superstores only compared with 74% for those redeeming at small grocery stores only. By contrast, households that relied on small grocery stores only had, in an average month, lower redemption levels for yogurt and cash value benefit compared with other vendor types; for example, in the 2019 mean across months, percent redemption of yogurt was 34% among households redeeming at small grocery stores only compared with 62% among those redeeming at supermarkets only. CONCLUSIONS: Results suggest that retail-based efforts to increase redemption should consider vendor-type reliance. Strategies to increase redemption may be especially important for WIC shoppers relying on superstores.

Caregivers' Perceived Impact of WIC's Temporary Cash-Value Benefit (CVB) Increases on Fruit and Vegetable Purchasing, Consumption, and Access in Massachusetts.

Responding to the COVID-19 pandemic, the American Rescue Plan (2021) allowed state agencies of the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) the option of temporarily increasing the Cash-Value Benefit (CVB) for fruit and vegetable (FV) purchases. To examine the impact of this enhancement on WIC caregiver experience, the MA WIC State Office invited 4600 randomly selected MA WIC caregivers to complete an online survey (February-March 2022). Eligible adults had at least one child, had been enrolled at least a year, and were aware of the increase. Of those who opened the screener (n = 545), 58.9% completed it (n = 321). We calculated the frequencies of reporting increased FV outcomes and tested whether responses differed by race/ethnicity, market access, and food security. Most caregivers perceived the CVB increase to benefit FV purchasing (amount and quality, 71.0% and 55.5%), FV consumption (offered to children and personally consumed, 70.1% and 63.2%), and satisfaction with the WIC food package (37.1% reported improved satisfaction, pre- vs. post-increase). Probability of reporting improved outcomes was not found to differ by race/ethnicity, market access, or food security. CVB increases may pose important implications for dietary behaviors and satisfaction with WIC. Policymakers should consider making this increase permanent.

Assessment of Calories Purchased After Calorie Labeling of Prepared Foods in a Large Supermarket Chain.

Importance: Calorie labels for prepared (ie, ready-to-eat) foods are required in large chain food establishments in the US. Large evaluations in restaurants suggest small declines in purchases of prepared foods after labeling, but to the authors' knowledge, no studies have examined how this policy influences supermarket purchases. Objective: To estimate changes in calories purchased from prepared foods and potential packaged substitutes compared with control foods after calorie labeling of prepared foods in supermarkets. Design, Setting, and Participants: This controlled interrupted time series compared sales 2 years before labeling implementation (April 2015-April 2017) with sales 7 months after labeling implementation (May 2017-December 2017). Data from 173 supermarkets from a supermarket chain with locations in Maine, Massachusetts, New Hampshire, New York, and Vermont were analyzed from March 2020 to May 2022. Intervention: Implementation of calorie labeling of prepared foods in April 2017. Main Outcomes and Measures: Purchased items were classified as prepared foods, potential packaged substitutes for prepared foods, or all other (ie, control) foods. The primary outcome was mean weekly calories per transaction purchased from prepared foods, and the secondary outcome was mean weekly calories per transaction purchased from similar packaged items (for substitution analyses). Analyses of prepared and packaged foods were stratified by food category (bakery, entrées and sides, or deli meats and cheeses). Results: Among the included 173 supermarkets, calorie labeling was associated with a mean 5.1% decrease (95% CI, -5.8% to -4.4%) in calories per transaction purchased from prepared bakery items and an 11.0% decrease (95% CI, -11.9% to -10.1%) from prepared deli items, adjusted for changes in control foods; no changes were observed for prepared entrées and sides (change = 0.3%; 95% CI, -2.5% to 3.0%). Labeling was also associated with decreased calories per transaction purchased from packaged bakery items (change = -3.9%; 95% CI, -4.3% to -3.6%), packaged entrées and sides (change = -1.2%; 95% CI, -1.4% to -0.9%), and packaged deli items (change = -2.1%; 95% CI, -2.4% to -1.7%). Conclusions and Relevance: In this longitudinal study of supermarkets, calorie labeling of prepared foods was associated with small to moderate decreases in calories purchased from prepared bakery and deli items without evidence of substitution to similar packaged foods.

Food Marketing Practices of Major Online Grocery Retailers in the United States, 2019-2020.

BACKGROUND: Food marketing influences consumers' preferences for and selection of marketed products. Although a substantial body of research has described food-marketing practices in brick-and-mortar stores, no research has examined food marketing in online grocery retail despite its growing importance as a source of food-at-home purchases. OBJECTIVE: To develop and apply a coding instrument to describe food marketing and the nutritional quality of marketed products in online grocery stores. DESIGN: Quantitative content analysis and review of product Nutrition Facts labels and ingredients lists to calculate nutrient density and level of processing using the NOVA classification system. PARTICIPANTS/SETTING: Foods and beverages (n = 3,473) marketed in the top revenue-generating online grocery retailers and those participating in the US Department of Agriculture Supplemental Nutrition Assistance Program Online Purchasing Pilot (n = 21) in 2019-2020. MAIN OUTCOME MEASURES: Use of marketing mix strategies (ie, product, placement, promotion, and pricing) across retailers and nutritional quality of marketed products. Products were considered of poor nutritional quality in the case that they were ultraprocessed (NOVA category 4) and excessive in sodium, saturated fat, free sugars, and/or other sweeteners. Products were also classified into 13 mutually exclusive food groups. STATISTICAL TESTS PERFORMED: The proportion of retailers using each marketing strategy, proportion of products of poor nutritional quality, and proportion of products in each food group were calculated. RESULTS: Retailers commonly used product recommendations, search result ordering, branded website content, user-generated content, and social media engagement to market products online. Candy, sweets, and snacks made up the largest percentage of marketed products (17.3%), followed by fruit, vegetables, and legumes (16.7%). Most (62%) marketed products were of poor nutritional quality. Staple food categories such as fruits, vegetables, and grains were frequently marketed, particularly through price reductions and product recommendations. CONCLUSIONS: Online grocery retailers use a variety of customizable food marketing strategies on their websites. Although most marketed products are of poor nutritional quality, there is potential for marketing of staple food categories online that is not feasible in a brick-and-mortar store.

Measurement Error Affecting Web- and Paper-Based Dietary Assessment Instruments: Insights From the Multi-Cohort Eating and Activity Study for Understanding Reporting Error.

Few biomarker-based validation studies have examined error in online self-report dietary assessment instruments, and food records (FRs) have been considered less than food frequency questionnaires (FFQs) and 24-hour recalls (24HRs). We investigated measurement error in online and paper-based FFQs, online 24HRs, and paper-based FRs in 3 samples drawn primarily from 3 cohorts, comprising 1,393 women and 1,455 men aged 45-86 years. Data collection occurred from January 2011 to October 2013. Attenuation factors and correlation coefficients between reported and true usual intake for energy, protein, sodium, potassium, and respective densities were estimated using recovery biomarkers. Across studies, average attenuation factors for energy were 0.07, 0.07, and 0.19 for a single FFQ, 24HR, and FR, respectively. Correlation coefficients for energy were 0.24, 0.23, and 0.40, respectively. Excluding energy, the average attenuation factors across nutrients and studies were 0.22 for a single FFQ, 0.22 for a single 24HR, and 0.51 for a single FR. Corresponding correlation coefficients were 0.31, 0.34, and 0.53, respectively. For densities (nutrient expressed relative to energy), the average attenuation factors across studies were 0.37, 0.17, and 0.50, respectively. The findings support prior research suggesting different instruments have unique strengths that should be leveraged in epidemiologic research.

Caregiver Perspectives on Underutilization of WIC: A Qualitative Study.

OBJECTIVES: The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is a federal program that improves the health of low-income women (pregnant and postpartum) and children up to 5 years of age in the United States. However, participation is suboptimal. We explored reasons for incomplete redemption of benefits and early dropout from WIC. METHODS: In 2020-2021, we conducted semistructured interviews to explore factors that influenced WIC program utilization among current WIC caregivers (n = 20) and caregivers choosing to leave while still eligible (n = 17) in Massachusetts. By using a deductive analytic approach, we developed a codebook grounded in the Consolidated Framework for Implementation Research. RESULTS: Themes across both current and early-leaving participants included positive feelings about social support from the WIC clinic staff and savings offered through the food package. Participants described reduced satisfaction related to insufficient funds for fruits and vegetables, food benefits inflexibility, concerns about in-clinic health tests, and in-store item mislabeling. Participants described how electronic benefit transfer cards and smartphone apps eased the use of benefits and reduced stigma during shopping. Some participants attributed leaving early to a belief that they were taking benefits from others. CONCLUSIONS: Current and early-leaving participants shared positive WIC experiences, but barriers to full participation exist. Food package modification may lead to improved redemption and retention, including increasing the cash value benefit for fruits and vegetables and diversifying food options. Research is needed regarding the misperception that participation means "taking" benefits away from someone else in need.

Association of Employees' Meal Skipping Patterns with Workplace Food Purchases, Dietary Quality, and Cardiometabolic Risk: A Secondary Analysis from the ChooseWell 365 Trial.

BACKGROUND: Employed adults may skip meals due to time or financial constraints, challenging work schedules, or limited workplace food choices. Little is known about the relationship between employees' meal skipping patterns and workplace dietary choices and health. OBJECTIVE: To examine whether hospital employees' meal skipping patterns were associated with workplace food purchases, dietary quality, and cardiometabolic risk factors (ie, obesity, hypertension, and prediabetes/diabetes). DESIGN: This is a secondary cross-sectional analysis of baseline data from the ChooseWell 365 randomized controlled trial. Employees reported meal-skipping frequency in a baseline survey. The healthfulness of workplace food purchases was determined with a validated Healthy Purchasing Score (HPS) (range = 0 to 100 where higher scores = healthier purchases) calculated using sales data for participants' purchases in the 3 months before study enrollment. Dietary quality was measured with the 2015 Healthy Eating Index (range = 0 to 100 where higher score = healthier diet) from two 24-hour recalls. Cardiometabolic risk factors were ascertained from clinic measurements. PARTICIPANTS/SETTING: Participants were 602 hospital employees who regularly visited workplace cafeterias and enrolled in ChooseWell 365, a workplace health promotion study in Boston, MA, during 2016-2018. MAIN OUTCOME MEASURES: Primary outcomes were HPS, 2015 Healthy Eating Index, and cardiometabolic risk factors. STATISTICAL ANALYSES: Regression analyses examined differences in HPS, 2015 Healthy Eating Index, and cardiometabolic variables by meal skipping frequency, adjusting for demographic characteristics. RESULTS: Participants' mean (standard deviation) age was 43.6 (12.2) years and 478 (79%) were women. Overall, 45.8% skipped breakfast, 36.2% skipped lunch, and 24.9% skipped dinner ≥ 1 day/week. Employees who skipped breakfast ≥ 3 days/week (n = 102) had lower HPS (65.1 vs 70.4; P < 0.01) and 2015 Healthy Eating Index score (55.9 vs 62.8; P < 0.001) compared with those who never skipped. Skipping lunch ≥ 3 days/week and dinner ≥ 1 day/week were associated with significantly lower HPS compared with never skipping. Employees who worked nonstandard shifts skipped more meals than those who worked standard shifts. Meal skipping was not associated with obesity or other cardiometabolic variables. CONCLUSIONS: Skipping meals was associated with less healthy food purchases at work, and skipping breakfast was associated with lower dietary quality. Future research to understand employees' reasons for skipping meals may inform how employers could support healthier dietary intake at work.

Prevalence and nutritional quality of free food and beverage acquisitions at school and work by SNAP status.

BACKGROUND: The dual burden of poor diet quality and food insecurity makes free food-food acquired at no cost-a very important part of the nutrition safety net for low-income families. The goal of this study was to determine the national prevalence and nutritional quality of free food acquired separately in two settings: 1) by children at school; and 2) by employees at work; both stratified by participation in the Supplemental Nutrition Assistance Program (SNAP). METHODS: Using National Household Food Acquisition and Purchase Survey data (2012; n = 4,826 U.S. households containing 5,382 employed adults and 3,338 school-aged children), we used survey-weighted proportions to describe free food acquisition and linear regression to compare the 2010 Healthy Eating Index (HEI-2010) for free/non-free food acquisition events (i.e., meals) by SNAP status. Analyses were conducted in 2019-2020. RESULTS: SNAP households had more free acquisition events (29.6%) compared to non-SNAP households (<185% federal poverty level (FPL) = 22.3%; ≥185%FPL = 21.0%, p's<0.001). For SNAP-participant children, free acquisition events at school had a higher mean HEI-2010 compared to non-free acquisition events at school (50.3 vs. 43.8, p = 0.033) and free acquisition events by SNAP-non-participant children ≥185%FPL at school (50.3 vs. 38.0, p = 0.001). Free and non-free acquisition events at work had relatively low HEI-2010s, with no differences by SNAP status. CONCLUSIONS: Over one fifth of all food acquisition events were free, but free food acquisitions at school and work were relatively unhealthy. For children participating in SNAP, free food acquired at school had higher nutritional quality. Improving the dietary quality of free foods could improve the health of families, especially those participating in SNAP.

Calorie Labeling and Product Reformulation: A Longitudinal Analysis of Supermarket-Prepared Foods.

INTRODUCTION: The 2010 Affordable Care Act required chain retail food establishments, including supermarkets, to post calorie information for prepared (i.e., ready to eat) foods. Implementation of calorie labeling could spur companies to reduce the calorie content of prepared foods, but few studies have explored this. This study evaluates the changes in the calorie content of prepared foods at 2 large U.S. supermarket chains after they implemented calorie labels in April 2017. METHODS: The chains (≈1,200 stores) provided data on the calorie content and labeling status of all items sold between July 2015 and January 2019. In 2021, analyses used a difference-in-differences approach to examine the changes in the calorie content of prepared bakery, entree, and deli items introduced before calorie labeling to those introduced after the labeling compared with changes in similar foods not subject to the new labeling requirement. Primary analyses examined continuously available items; exploratory analyses examined items newly introduced to the marketplace. RESULTS: Relative to changes in comparison foods not subject to the labeling requirement, continuously available prepared bakery items decreased by 7.7 calories per item after calorie labels were implemented (95% CI= -12.9, -2.5, p=0.004, ≈0.5% reduction). In exploratory analyses, prepared bakery items introduced after calorie labeling contained 440 fewer calories per item than those introduced before calorie labeling (95% CI= -773.9, -106.1, p=0.01, ≈27% reduction), driven by reductions in product size. No changes were observed in the calorie content of continuously available or newly introduced prepared entrees or deli items. CONCLUSIONS: Implementing calorie labels could encourage product reformulation among some types of prepared supermarket foods. These supply-side changes could lead to reductions in caloric intake.

Comparing shopper characteristics by online grocery ordering use among households in low-income communities in Maine.

OBJECTIVE: Online grocery shopping could improve access to healthy food, but it may not be equally accessible to all populations - especially those at higher risk for food insecurity. The current study aimed to compare the socio-demographic characteristics of families who ordered groceries online v. those who only shopped in-store. DESIGN: We analysed enrollment survey and 44 weeks of individually linked grocery transaction data. We used univariate χ2 and t-tests and logistic regression to assess differences in socio-demographic characteristics between households that only shopped in-store and those that shopped online with curbside pickup (online only or online and in-store). SETTING: Two Maine supermarkets. PARTICIPANTS: 863 parents or caregivers of children under 18 years old enrolled in two fruit and vegetable incentive trials. RESULTS: Participants had a total of 32 757 transactions. In univariate assessments, online shoppers had higher incomes (P < 0 0001), were less likely to participate in Special Supplemental Nutrition Program for Women, Infants, and Children or Supplemental Nutrition Assistance Program (SNAP; P < 0 0001) and were more likely to be female (P = 0·04). Most online shoppers were 30-39 years old, and few were 50 years or older (P = 0·003). After controlling for age, gender, race/ethnicity, number of children, number of adults, income and SNAP participation, female primary shoppers (OR = 2·75, P = 0·003), number of children (OR = 1·27, P = 0·04) and income (OR = 3·91 for 186-300 % federal poverty line (FPL) and OR = 6·92 for >300 % FPL, P < 0·0001) were significantly associated with likelihood of shopping online. CONCLUSIONS: In the current study of Maine families, low-income shoppers were significantly less likely to utilise online grocery ordering with curbside pickup. Future studies could focus on elucidating barriers and developing strategies to improve access.

Early life exposure to green space and insulin resistance: An assessment from infancy to early adolescence.

BACKGROUND: Recent studies suggest that greater exposure to natural vegetation, or "green space" is associated with lower diabetes risk, possibly through increasing physical activity. However, there is limited research on green space and insulin resistance in youth. We hypothesized greater green space at early-life sensitive time periods would be associated with lower insulin resistance in youth. METHODS: We used data from Project Viva (N = 460), a pre-birth cohort study that recruited pregnant women in eastern Massachusetts, 1999-2002, and followed offspring into adolescence. We defined residential green space exposure at infancy (median age - 1.1 years), early childhood (3.2 years), mid-childhood (7.7 years), and early adolescence (12.8 years), using 30 m resolution Landsat satellite imagery to estimate the Normalized Difference Vegetation Index [NDVI]. Our main outcome was early adolescence estimated insulin resistance (HOMA-IR). We used multiple imputation to account for missing data and multiple linear regression models adjusted for age, sex, race/ethnicity, parental education, household income, and neighborhood median household income. RESULTS: The highest green space tertile had the highest percentage of white participants (85%), college-educated mothers (87%) and fathers (85%), and households with income higher than US$70,000 (86%). Unadjusted models showed that participants living in the highest green space tertile at infancy had a 0.15 unit lower HOMA-IR (95% CI: -0.23, -0.06) in early adolescence, than those living in the lowest tertile. However, in adjusted models, we did not observe evidence of associations between green space from infancy to early adolescence and HOMA-IR in early adolescence, although some point estimates were in the hypothesized direction. For example, participants in the highest green space tertile in infancy had 0.03 units lower HOMA-IR (95%CI: -0.14, 0.08) than those living in the lowest tertile. CONCLUSIONS: Exposure to green space at early life sensitive time periods was not associated with HOMA-IR in youth. Early-life longitudinal studies across diverse populations are needed to confirm or refute our results.

Ethical Considerations for Food and Beverage Warnings.

Several countries have implemented warnings on unhealthy foods and beverages, with similar policies under consideration in the U.S. and around the world. Research demonstrating food warnings' effectiveness is emerging, but limited scholarship has evaluated the ethics of food warning policies. Using a public health ethics framework for evaluating obesity prevention policies, we assessed the ethical strengths and weaknesses of food warnings along multiple dimensions: 1) Health behaviors and physical health, 2) Psychosocial well-being, 3) Social and cultural values, 4) Informed choice, 5) Equality, 6) Attributions of responsibility, 7) Liberty, and 8) Privacy. Our analysis identifies both ethical strengths and weaknesses of food warnings, including that: 1) warnings are likely to generate important benefits including increased consumer understanding and informed choice, healthier purchases, and potential reductions in obesity prevalence; 2) warnings evoke negative emotional reactions, but these reactions are an important mechanism through which food warnings encourage healthier behaviors and promote informed choice; 3) warnings appear unlikely to have ethically unacceptable effects on social and cultural values, attributions of responsibility, liberty, or privacy. Current research suggests we continue to pursue food warnings as a policy option for improving public health while simultaneously conducting additional research on the ethics of these policies. Future research is especially needed to clarify warnings' effects on stigma and to characterize the balance and distribution of costs of and benefits from implementing warning policies.

Supermarket Purchases Over the Supplemental Nutrition Assistance Program Benefit Month: A Comparison Between Participants and Nonparticipants.

INTRODUCTION: The Supplemental Nutrition Assistance Program provides financial assistance for food and beverage purchases to approximately 1 in 7 Americans, with benefits distributed once monthly. Most Supplemental Nutrition Assistance Program benefits are spent early in the month, leading to decreased caloric intake later in the month. The effects of this early benefit depletion on the types of foods and beverages purchased over the course of the month is unclear. METHODS: Using individually tracked sales data from 950 participants enrolled in 2 supermarket-based RCTs in Maine (October 2015-April 2016 and October 2016-June 2017), purchases of selected food categories by Supplemental Nutrition Assistance Program participants (n=248) versus nonparticipants (n=702) in the first 2 weeks compared with the last 2 weeks of the Supplemental Nutrition Assistance Program benefit month were examined. Analyses were completed in 2019. RESULTS: For Supplemental Nutrition Assistance Program participants, adjusted mean food spending decreased 37% from the first 2 weeks to the last 2 weeks of the Supplemental Nutrition Assistance Program benefit month (p<0.0001) compared with a 3% decrease (p=0.02) for nonparticipants. The decline in spending by Supplemental Nutrition Assistance Program participants occurred in all examined categories: vegetables (-25%), fruits (-27%), sugar-sweetened beverages (-30%), red meat (-37%), convenience foods (-40%), and poultry (-48%). Difference-in-difference estimators comparing Supplemental Nutrition Assistance Program participants with nonparticipants were statistically significant (p<0.05) for all examined categories. CONCLUSIONS: In the second half of the Supplemental Nutrition Assistance Program benefit month, individuals reduced purchases of all examined categories. More research is needed to understand the impact of these fluctuations in spending patterns on the dietary quality of Supplemental Nutrition Assistance Program participants.