Understanding the Intersection of Race/Ethnicity, Socioeconomic Status, and Geographic Location: A Scoping Review of U.S. Consumer Food Purchasing

How does eligibility for GusNIP produce prescriptions relate to fruit and vegetable purchases and what factors shape the relationship? A protocol for a secondary analysis of nationally representative data in the USA

INTRODUCTION

US Department of Agriculture (USDA) Gus Schumacher Nutrition Incentive Programme (GusNIP) produce prescription programme (PPR) 'prescriptions' provide eligible participants with low income, risk for diet-related chronic disease and food insecurity a healthcare issued incentive to purchase lower to no cost fruits and vegetables (FVs). However, GusNIP requirements specify that PPR prescriptions can only be redeemed for fresh (not frozen, canned or dried) FVs. This requirement may prevent participants from fully engaging in or benefiting from GusNIP PPR, given communities with lower healthy food access may have reduced fresh FV accessibility.

METHODS AND ANALYSIS

We will use the nationally representative 2012-2013 National Household Food Acquisition and Purchase Survey (FoodAPS) and complementary FoodAPS Geography Component data in a secondary data analysis to examine how household GusNIP PPR eligibility relates to the quantity and variety of fresh, frozen, canned and dried FV purchases and to what extent individual, household and food environment factors shape the relationship. FoodAPS data include household food purchasing and acquisition information across a 7 day period from 14 317 individuals among 4826 households and was collected between April 2012 and January 2013. The FoodAPS Geography Component provides information about the local community/environment relative to FoodAPS households. This study will examine the correlation or association of selected variables between different quantities and varieties of fresh, frozen, canned and dried FVs, as well as correlations among multilevel predictors.

ETHICS AND DISSEMINATION

We are following data integrity standards as outlined by agreements with the USDA Economic Research Service. All results of analyses will undergo a thorough disclosure review to ensure no identifiable data are shared. Results will be disseminated to research, practice and policy communities using an Open Access peer-reviewed manuscript(s), scientific and practice presentations, and a public facing report and infographic.

Implementation of Food is Medicine Programs in Healthcare Settings: A Narrative Review

Food is Medicine (FIM) programs to improve the accessibility of fruits and vegetables (FVs) or other healthy foods among patients with low income and diet-related chronic diseases are promising to improve food and nutrition security in the United States (US). However, FIM programs are relatively new and implementation guidance for healthcare settings using an implementation science lens is lacking. We used a narrative review to describe the evidence base on barriers and facilitators to FIM program integration in US healthcare settings following the Exploration, Preparation, Implementation, and Sustainment (EPIS) Framework. Evidence surrounding the EPIS Inner Context was a focus, including constructs Leadership, Organizational Characteristics, Quality and Fidelity Monitoring and Support, Organizational Staffing Processes, and Individual Characteristics. Peer-reviewed and grey literature about barriers and facilitators to FIM programs were of interest, defined as programs that screen and refer eligible patients with diet-related chronic disease experiencing food insecurity to healthy, unprepared foods. Thirty-one sources were included in the narrative review, including 22 peer-reviewed articles, four reports, four toolkits, and one thesis. Twenty-eight sources (90%) described EPIS Inner Context facilitators and 26 sources (84%) described FIM program barriers. The most common barriers and facilitators to FIM programs were regarding Quality and Fidelity Monitoring and Support (e.g., use of electronic medical records for tracking and evaluation, strategies to support implementation) and Organizational Staffing Processes (e.g., clear delineation of staff roles and capacity); although, barriers and facilitators to FIM programs were identified among all EPIS Inner Context constructs. We synthesized barriers and facilitators to create an EPIS-informed implementation checklist for healthcare settings for use among healthcare organizations/providers, partner organizations, and technical assistance personnel. We discuss future directions to align FIM efforts with implementation science terminology and theories, models, and frameworks to improve the implementation evidence base and support FIM researchers and practitioners.

Socioeconomic and clinical factors associated with excessive gestational weight gain

PURPOSE

Excessive gestational weight gain (EGWG) is associated with adverse maternal and offspring outcomes but efforts to identify women at high risk for EGWG have been limited. The objective of this study is to identify socioeconomic and clinical factors associated with EGWG.

METHODS

This retrospective cohort included pregnant patients who delivered live, term, singleton newborns between January 2018 and February 2020 at seven hospitals within a large health system in New York. Patients were stratified by pre-pregnancy body mass index and then classified based on whether they exceeded the Institute of Medicine guidelines for gestational weight gain (GWG) and whether they gained more than 50 pounds in pregnancy.

RESULTS

A total of 44,872 subjects were included for analysis: 48% had EGWG and 17% had GWG exceeding 50 pounds. Patients with EGWG were more likely to be Black race, English speakers, overweight or obese pre-pregnancy, and have a mood disorder diagnosis. Patients who were underweight, multiparous, and those with gestational diabetes were less likely to have EGWG.

CONCLUSION

Sociodemographic and clinical findings associated with GWG > 50 pounds were similar but only overweight and not obese patients were at increased risk. Patients at risk for EGWG may benefit from early nutrition counseling and education on lifestyle changes.

Characteristics Associated With Purchasing Sugar-Sweetened Beverages and Bottled Water Among US Households, 2015

BACKGROUND

Frequent intake of sugar-sweetened beverages (SSBs) among US adults is a public health concern because it has been associated with increased risks for adverse health outcomes such as obesity, type 2 diabetes, and cardiovascular disease. In contrast, drinking plain water (such as tap, bottled, or unsweetened sparkling water) instead of drinking SSBs might provide health benefits by improving diet quality and helping prevent chronic diseases. However, there is limited information on estimated expenditures on SSBs or bottled water among US households.

OBJECTIVE

This study examined differences in SSB and bottled water purchasing according to household and geographic area characteristics and estimated costs spent on purchasing SSB and bottled water from retail stores among a nationally representative sample of US households.

DESIGN

This study is a secondary analysis of the 2015 Circana (formerly Information Resources Inc) Consumer Network Panel data, which were merged with the US Department of Agriculture nutrition data using the US Department of Agriculture Purchase-to-Plate Crosswalk-2015 dataset (the latest available version of the Purchase-to-Plate Crosswalk at the time the study began), and the Child Opportunity Index 2.0 data.

PARTICIPANTS/SETTINGS

A total of 63,610 households, representative of the contiguous US population, consistently provided food and beverage purchase scanner data from retail stores throughout 2015.

EXPLANATORY VARIABLES

The included demographic and socioeconomic variables were household head's age, marital status, highest education level, race and ethnicity of the primary shopper in the household, family income relative to the federal poverty level, and presence of children in the household. In addition, descriptors of households' residential areas were included, such as the county-level poverty prevalence, urbanization, census region, and census tract level Child Opportunity Index.

MAIN OUTCOME MEASURES

Annual per capita spending on SSB and bottled water and daily per capita SSB calories purchased.

STATISTICAL ANALYSIS

Unadjusted and multivariable adjusted mean values of the main outcome measures were compared by household demographic, socioeconomic, and geographic characteristics using linear regression analysis including Circana's household projection factors.

RESULTS

Nearly all households reported purchasing SSBs at least once during 2015 and spent on average $47 (interquartile range = $20) per person per year on SSBs, which corresponded to 211 kcal (interquartile range = 125 kcal) of SSBs per person per day. About seven in 10 households reported purchasing bottled water at least once during 2015 and spent $11 (interquartile range = $5) per person on bottled water per year. Both annual per capita SSB and bottled water spending, and daily per capita SSB calories purchased was highest for households whose heads were between 40 and 59 years of age, had low household income, or lived in poor counties, or counties with a low Child Opportunity Index. Annual per capita spending was also higher for households with never married/widowed/divorced head, or at least 1 non-Hispanic Black head, and households without children, or those living in the South. Daily per capita SSB calorie purchases were highest for households where at least 1 head had less than a high school degree, households with at least 1 Hispanic or married head, and households with children or those living in the Midwest.

CONCLUSIONS

These findings suggest that households that had lower socioeconomic status had higher annual per capita spending on SSBs and bottled water and higher daily per capita total SSB calories purchased than households with higher socioeconomic status.

Structural racism and geographic access to food retailers in the United States: A scoping review

This scoping review summarized findings and key measures from U.S.-based studies that 1) examined associations between geographic indicators of structural racism (e.g., redlining, racial segregation) and access to food retailers (e.g., supermarkets, convenience stores) or 2) documented disparities in access by neighborhood racial/ethnic composition. In 2022, relevant scientific literature was reviewed using Covidence software. Independent reviewers examined 13,069 citations; 163 citations advanced to the full-text review stage and 70 were selected for inclusion. Twenty-one studies (30%) linked one or more indicator of structural racism to food retailer access while 49 (70%) solely examined differences in access by neighborhood racial/ethnic composition. All studies featuring indicators of structural racism reported significant findings; however, indicators varied across studies making it difficult to make direct comparisons. Key indicators of structural racism in the food access literature included redlining (n = 3), gentrification (n = 3), and racial segregation (n = 4). Many U.S.-based studies have evaluated food retailer access by neighborhood racial/ethnic composition. Moving forward, studies should model indicators of structural racism and determine their influence on geographic access to large and small food retailers.

Diet Quality and the Fecal Microbiota in Adults in the American Gut Project

BACKGROUND

The Dietary Guidelines for Americans advises on dietary intake to meet nutritional needs, promote health, and prevent diseases. Diet affects the intestinal microbiota and is increasingly linked to health. It is vital to investigate the relationships between diet quality and the microbiota to better understand the impact of nutrition on human health.

OBJECTIVES

This study aimed to investigate the differences in fecal microbiota composition in adults from the American Gut Project based on their adherence to the Dietary Guidelines for Americans.

METHODS

This study was a cross-sectional analysis of the 16S sequencing and food frequency data of a subset of adults (n = 432; age = 18-60 y; 65% female, 89% white) participating in the crowdsourced American Gut Project. The Healthy Eating Index-2015 assessed the compliance with Dietary Guideline recommendations. The cohort was divided into tertiles based on Healthy Eating Index-2015 scores, and differences in taxonomic abundances and diversity were compared between high and low scorers.

RESULTS

The mean Total Score for low-scoring adults (58.1 ± 5.4) was comparable with the reported score of the average American adult (56.7). High scorers for the Total Score and components related to vegetables, grains, and dairy had greater alpha diversity than low scorers. High scorers in the fatty acid component had a lower alpha diversity than low scorers (95% CI: 0.35, 1.85). A positive log-fold difference in abundance of plant carbohydrate-metabolizing taxa in the families Lachnospiraceae and Ruminococcaceae was observed in high-scoring tertiles for Total Score, vegetable, fruit, and grain components (Benjamini-Hochberg; q < 0.05).

CONCLUSIONS

Adults with greater compliance to the Dietary Guidelines demonstrated higher diversity in their fecal microbiota and greater abundance of bacteria capable of metabolizing complex carbohydrates, providing evidence on how Dietary Guidelines support the gut microbiota.

Food insecurity disparities and impact on academic and social experiences among college students at a large public university

Objective: This research seeks to understand food insecurity experiences among students at a large public university in the southern United States. Participants: Participants consented and completed an online survey disseminated on campus in April-May 2021 (N = 418). The participants sampled were predominantly undergraduate (78.2%), females (72.4%), who lived off campus (54.1%), and were racially/ethnically diverse. Methods: Descriptive statistics, multivariable logistic regression, and chi-squared tests were used to examine the differences and association between demographic characteristics and behaviors and food insecurity status. Results: About 32% students surveyed had experienced food insecurity in the last year, which resembles national trends. There were significant differences in students' food insecurity status by race, sexual orientation, first-generation status, residential category, and main mode of transportation. Food insecurity impacted academic and socioeconomic student behaviors. Conclusions: This research has implications for improving the academic, physical, and psychological wellbeing of university students and should inform future programs and policies.

Risk Factors of Severe COVID-19: A Review of Host, Viral and Environmental Factors

The clinical course and outcome of COVID-19 are highly variable, ranging from asymptomatic infections to severe disease and death. Understanding the risk factors of severe COVID-19 is relevant both in the clinical setting and at the epidemiological level. Here, we provide an overview of host, viral and environmental factors that have been shown or (in some cases) hypothesized to be associated with severe clinical outcomes. The factors considered in detail include the age and frailty, genetic polymorphisms, biological sex (and pregnancy), co- and superinfections, non-communicable comorbidities, immunological history, microbiota, and lifestyle of the patient; viral genetic variation and infecting dose; socioeconomic factors; and air pollution. For each category, we compile (sometimes conflicting) evidence for the association of the factor with COVID-19 outcomes (including the strength of the effect) and outline possible action mechanisms. We also discuss the complex interactions between the various risk factors.

Association between Fresh Fruit and Vegetable Consumption and Purchasing Behaviors, Food Insecurity Status and Geographic Food Access among a Lower-Income, Racially/Ethnically Diverse Cohort in Central Texas

The aims of this study were to determine if fresh fruit and vegetable consumption and purchasing behaviors were associated with geographic food access and/or food insecurity status, and to explore the role of sociodemographic characteristics among participants of a lower-income, racially/ethnically diverse cohort. This study used a cross-sectional design and baseline survey data from the FRESH-Austin study (N = 393). Associations between fresh produce consumption/purchasing and food insecurity status and geographic access to food were assessed utilizing univariate, bivariate, and multivariate linear regression methods and potential interactions were examined. The sample 40% reported being food insecure and the majority identified as Hispanic. Geographic food access was directly associated with fresh produce consumption (β = 0.46, p = 0.02); however, the directionality of the relationship between food insecurity and fresh produce consumption varied due to a significant interaction with race/ethnicity. Only utilizing food assistance was associated with purchasing fewer fresh produce (β= -1.83, p = 0.03). Findings suggest that communities experience food insecurity and limited healthy food access in different ways, and in some situations, are associated with fresh produce consumption and purchasing behaviors. Future research adopting an intersectionality-sensitive approach to better understand how to best support communities at risk is needed.

Who shops at their nearest grocery store? A cross-sectional exploration of disparities in geographic food access among a low-income, racially/ethnically diverse cohort in Central Texas

We examined whether Central Texans shop at their nearest supermarket, how far they travel for groceries, and explored differences by race/ethnicity, urbanicity, motivations for store selection and other demographic characteristics. Using cross-sectional data and GIS, continuous network distances from participants' homes to nearest and usual supermarkets were calculated and multivariate linear regression assessed differences. <19% shopped at their nearest supermarket. Regression models found that urbanicity played a large role in distance traveled to preferred supermarket, but other factors varied by race/ethnicity. Our findings demonstrate racial/ethnic and urbanicity disparities in food access and multiple domains of food access need greater consideration.

Improving Fruit and Vegetable Accessibility, Purchasing, and Consumption to Advance Nutrition Security and Health Equity in the United States

In recent years, national and local efforts to improve diet and health in the United States have stressed the importance of nutrition security, which emphasizes consistent access to foods and beverages that promote health and prevent disease among all individuals. At the core of this endeavor is fruit and vegetable (FV) consumption, a dietary practice that is integral to attaining and sustaining a healthy diet. Unfortunately, significant inequities in FV accessibility, purchasing, and consumption exist, particularly among populations that are socially and economically disadvantaged. To achieve nutrition and health equity in the United States, the field must center the goal of nutrition security and initiatives that aim to increase FV consumption, specifically, in future work. The International Journal of Environmental Research and Public Health (IJERPH) Special Issue titled "Nutrition and Health Equity: Revisiting the Importance of Fruit and Vegetable Availability, Purchasing, and Consumption" features several scholarly publications from experts conducting timely research on these topics. In this commentary, we (1) summarize the U.S.-based literature on inequities in FV accessibility, purchasing, and consumption, (2) describe how the contributions to this IJERPH special issue can advance nutrition security and health equity, and (3) outline future research questions from our perspective.

Objective and perceived barriers and facilitators of daily fruit and vegetable consumption among under-resourced communities in Central Texas

INTRODUCTION

Fruit and vegetable consumption (FVC) continues to be low, particularly among people living in under-resourced communities. Identifying barriers and facilitators of FVC and whether those barriers and facilitators differ for racially and ethnically minoritized people is imperative for developing effective and equitable public health policies and interventions.

METHODS

A baseline cohort of 390 participants from Central Texas communities historically lacking healthy food retailers completed a survey including FVC, 7 psychosocial barriers and facilitators of FVC, distance to a grocery retailer, participation in government assistance programs, and race/ethnicity.

RESULTS

Not having time to prepare fruits and vegetables was the only significant psychosocial barrier identified (B = -.11, t(390) = 2.04, P = .04), but was not significant after accounting for sociodemographic variables. Significant facilitators of daily FVC were liking F&V (B=.31, t(390) = 6.40, P<.001), participating in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) (B=.14, t(390) = 2.81, P = .005), and Hispanic/Latino(a) ethnicity (B = -.21, t(390) = 4.30, P<.001). The final model accounted for 17% of the variance in daily FVC (R2=.17, F(4, 375) = 7.69, P < .001). Black, white and Other race participants were more likely to report having difficulty using F&V before spoiling than Hispanic/Latino(a) participants (P = .003). White and Other race participants were more likely to report that F&V were hard to prepare (P = .006) and that they didn't have time to prepare F&V (P = .005).

DISCUSSION

When designing public health policy and interventions to increase FVC, researchers could prioritize identifying ways to alleviate time constraints, increase F&V liking, and help eligible participants to enroll in WIC. Strategies that reduce the risk of F&V spoiling and make F&V easier to prepare may also benefit some groups.

Examining Geographic Food Access, Food Insecurity, and Urbanicity among Diverse, Low-Income Participants in Austin, Texas

The purpose of this study was to explore the association between geographic food access and food insecurity and the potential role of race/ethnicity, income, and urbanicity among a low-income, diverse sample in Central Texas. Utilizing a cross-sectional study design, secondary data analysis of an existing cohort was used to examine the association between food insecurity; geographic food access; and sociodemographic factors of race/ethnicity, income, urbanicity, and additional covariates using binomial logistic regression models. The existing cohort was recruited from lower-income communities in Travis County, Texas. The sample (N = 393) was predominantly Hispanic, lived in urban areas, and nearly 40% were food insecure. Geographic food access was not found to be significantly associated with food insecurity. However, rural residents had greater odds of being food insecure than urban residents. Also, participants who earned USD 45,000-64,999 and over USD 65,000 had lower odds of being food insecure than participants who earned under USD 25,000. These findings add to the inconsistent literature about the association between geographic food access and food insecurity and contribute to urbanicity and income disparities in food-insecurity literature. Future work should consider urbanicity, income, and utilize community-specific data to gain greater understanding of the association between geographic food access and food insecurity.

What is the availability, affordability, and quality of foods and beverages aligned with dietary guidance in Louisiana Supplemental Nutrition Assistance Program (SNAP) authorized stores?

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SNAP stores in Louisiana score low on measures of healthy food access.

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No differences in healthy food access were found between rural/urban SNAP stores.

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Independent SNAP stores scored lower on healthy food access than corporate stores.

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SNAP grocery and dollar stores scored higher than SNAP convenience stores.

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Healthy retail partnerships with independent SNAP retailers are needed in Louisiana.

Healthy food retail strategies are delivered by Cooperative Extension Services in Louisiana to improve public health among communities with lower income. To guide Cooperative Extension Services Programming, the aim of this study was to assess healthy food access among SNAP-authorized stores. This included comparing the availability, affordability, and quality of healthy foods sold in these stores by geography, ownership, and store type. Seventy-five Louisiana SNAP-authorized stores were selected for measurement. Between October 2019 and March 2020 (prior to the COVID-19 national emergency declaration), trained researchers used the Nutrition Environment Measures Survey in Stores (NEMS-S) to assess the availability, affordability, and quality of healthy versus less healthy foods and beverages in 42 SNAP-authorized stores, including: grocery (n = 12, 29%), convenience (n = 17, 41%), drug (n = 1, 2%), dollar (n = 11, 26%), and butcher/meat (n = 1, 2%). Multivariate analysis of variance (a priori, p < 0.05) determined if differences in total NEMS-S scores or subscores existed by geography (urban versus rural), ownership (corporate/chain versus independent), or store type. No urban/rural differences were identified. Corporate/chain SNAP-authorized stores scored higher on average than independent SNAP-authorized stores for the total NEMS-S score (17.2 versus 8.1; p = 0.009) and availability subscore (13.1 versus 6.1; p = 0.02). SNAP-authorized grocery stores scored higher than all other store types (total NEMS-S score 27.6), followed by SNAP-authorized dollar stores (total NEMS-S score 10.7), and SNAP-authorized convenience stores (total NEMS-S score 5) (p < 0.001). Louisiana Cooperative Extension Services should explore ways to scale healthy food retail strategies statewide with a specific emphasis on independent and smaller SNAP-authorized retailers.

The Potential for Healthy Checkout Policies to Advance Nutrition Equity

BACKGROUND

As the only place in a store where all customers must pass through and wait, the checkout lane may be particularly influential over consumer purchases. Because most foods and beverages sold at checkout are unhealthy (e.g., candy, sweets, sugar-sweetened beverages, and salty snacks), policymakers and advocates have expressed growing interest in healthy checkout policies. To understand the extent to which such policies could improve nutrition equity, we assessed the prevalence and sociodemographic correlates of purchasing items found at (i.e., from) checkout.

METHODS

We assessed self-reported checkout purchasing and sociodemographic characteristics in a national convenience sample of adults (n = 10,348) completing an online survey in 2021.

RESULTS

Over one third (36%) of participants reported purchasing foods or drinks from checkout during their last grocery shopping trip. Purchasing items from checkout was more common among men; adults < 55 years of age; low-income consumers; Hispanic, non-Hispanic American Indian or Alaska Native, and non-Hispanic Black consumers; those with a graduate or professional degree; parents; and consumers diagnosed with type 2 diabetes or pre-diabetes (p-values < 0.05).

CONCLUSIONS

Purchasing foods or beverages from store checkouts is common and more prevalent among low-income and Hispanic, American Indian or Alaska Native, and Black consumers. These results suggest that healthy checkout policies have the potential to improve nutrition equity.

Between- and within-Group Differences in Fruit and Vegetable Purchases, Consumption, and BMI among Hispanic Farmers' Market Shoppers Who Use SNAP

(1) Background: Despite considerable efforts to increase farmers' market access (FM) and improve household fruit and vegetable (FV) purchasing in low-income communities, little is known about the FV purchasing and consumption characteristics of low-income Hispanic farmers' market shoppers. (2) Methods: A secondary analysis of baseline data from a farmers' market study conducted between 2015 and 2017 (n = 2825) was performed. Participants who also received supplemental nutrition assistance program (SNAP) completed a 31-item online survey assessing demographics, health characteristics, and FV purchasing and consumption habits. Descriptive statistics and bivariate analyses were used to assess between- and within-group differences amongst Hispanic and non-Hispanic households. Regression analyses were used to examine associations among BMI, FV purchasing and consumption, and household size for Hispanic and non-Hispanic households as well as for Hispanic subgroups. (3) Results: The sample included 515 Hispanic and 2310 non-Hispanic SNAP-using FM shoppers in 13 states. Despite experiencing significantly higher food insecurity (89% vs. 81%, non-Hispanic), Hispanic shoppers consumed similar amounts of FV (3.04 cups/day) and spent less doing so. Significant subgroup differences were identified for FV purchasing. (4) Conclusions: Findings emphasize the importance of food insecurity and household size in FV interventions and underscore the capacity of Hispanic families to maintain FV consumption.

Changes in the calorie and nutrient content of purchased fast food meals after calorie menu labeling: A natural experiment

BACKGROUND

Calorie menu labeling is a policy that requires food establishments to post the calories on menu offerings to encourage healthy food choice. Calorie labeling has been implemented in the United States since May 2018 per the Affordable Care Act, but to the best of our knowledge, no studies have evaluated the relationship between calorie labeling and meal purchases since nationwide implementation of this policy. Our objective was to investigate the relationship between calorie labeling and the calorie and nutrient content of purchased meals after a fast food franchise began labeling in April 2017, prior to the required nationwide implementation, and after nationwide implementation of labeling in May 2018, when all large US chain restaurants were required to label their menus.

METHODS AND FINDINGS

We obtained weekly aggregated sales data from 104 restaurants that are part of a fast food franchise for 3 national chains in 3 US states: Louisiana, Mississippi, and Texas. The franchise provided all sales data from April 2015 until April 2019. The franchise labeled menus in April 2017, 1 year prior to the required nationwide implementation date of May 2018 set by the US Food and Drug Administration. We obtained nutrition information for items sold (calories, fat, carbohydrates, protein, saturated fat, sugar, dietary fiber, and sodium) from Menustat, a publicly available database with nutrition information for items offered at the top revenue-generating US restaurant chains. We used an interrupted time series to find level and trend changes in mean weekly calorie and nutrient content per transaction after franchise and nationwide labeling. The analytic sample represented 331,776,445 items purchased across 67,112,342 transactions. Franchise labeling was associated with a level change of -54 calories/transaction (95% confidence interval [CI]: -67, -42, p < 0.0001) and a subsequent 3.3 calories/transaction increase per 4-week period (95% CI: 2.5, 4.1, p < 0.0001). Nationwide implementation was associated with a level decrease of -82 calories/transaction (95% CI: -88, -76, p < 0.0001) and a subsequent -2.1 calories/transaction decrease per 4-week period (95% CI: -2.9, -1.3, p < 0.0001). At the end of the study, the model-based predicted mean calories/transaction was 4.7% lower (change = -73 calories/transaction, 95% CI: -81, -65), and nutrients/transaction ranged from 1.8% lower (saturated fat) to 7.0% lower (sugar) than what we would expect had labeling not been implemented. The main limitations were potential residual time-varying confounding and lack of individual-level transaction data.

CONCLUSIONS

In this study, we observed that calorie labeling was associated with small decreases in mean calorie and nutrient content of fast food meals 2 years after franchise labeling and nearly 1 year after implementation of labeling nationwide. These changes imply that calorie labeling was associated with small improvements in purchased meal quality in US chain restaurants.

Maternal diet patterns during early pregnancy in relation to neonatal outcomes

BACKGROUND

Research has established that maternal diet influences fetal growth and preterm birth, but most studies only evaluate single nutrients. Relations between dietary patterns and neonatal outcomes are understudied.

OBJECTIVE

We evaluated associations of neonatal outcomes with maternal diet patterns derived using 3 a priori diet scores [Alternative Healthy Eating Index-2010 (AHEI-2010), alternate Mediterranean diet score (aMed), and Dietary Approaches to Stop Hypertension (DASH)] as well as principal components analysis (PCA).

METHODS

We studied 1948 women from the Eunice Kennedy Shriver National Institute of Child Health and Human Development Fetal Growth Studies-Singletons, a racially diverse multisite cohort of pregnant women in the USA (2009-2013). Diet in the past 3 mo was assessed using a self-administered FFQ at 8-13 weeks of gestation. Birthweight was abstracted from medical records and neonatal anthropometry measured postdelivery using standardized protocols.

RESULTS

All 3 a priori scores were significantly associated with increased birthweight, and aMed was also associated with reduced odds of low birthweight [quartile 4 versus 1: ORadj = 0.42; 95% CI: 0.18, 1.00 (P-trend = 0.02)]. Greater aMed and DASH scores were significantly associated with increased length [aMed: quartile 4 versus 1: 0.54 cm; 95% CI: 0.10, 0.99 (P-trend = 0.006); DASH: quartile 4 versus 1: 0.62 cm; 95% CI: 0.25, 0.99 (P-trend = 0.006)] and upper arm length. Neither diet pattern derived from PCA was significantly associated with birthweight.

CONCLUSION

Among mostly low-risk pregnant women, pre- and early pregnancy healthful diet quality indices, particularly the aMed score, were associated with larger neonatal size across the entire birthweight distribution. In the absence of generally accepted pregnancy-specific diet quality scores, these results provide evidence for an association between maternal diet patterns and neonatal outcomes.

Developing a National Research Agenda to Support Healthy Food Retail

The food retail environment is an important driver of dietary choices. This article presents a national agenda for research in food retail, with the goal of identifying policies and corporate practices that effectively promote healthy food and beverage purchases and decrease unhealthy purchases. The research agenda was developed through a multi-step process that included (1) convening a scientific advisory committee; (2) commissioned research; (3) in-person expert convening; (4) thematic analysis of meeting notes and refining research questions; (5) follow-up survey of convening participants; and (6) refining the final research agenda. Public health researchers, advocates, food and beverage retailers, and funders participated in the agenda setting process. A total of 37 research questions grouped into ten priority areas emerged. Five priority areas focus on understanding the current food retail environment and consumer behavior and five focus on assessing implementation and effectiveness of interventions and policies to attain healthier retail. Priority topics include how frequency, duration, and impact of retailer promotion practices differ by community characteristics and how to leverage federal nutrition assistance programs to support healthy eating. To improve feasibility, researchers should explore partnerships with retailers and advocacy groups, identify novel data sources, and use a variety of study designs. This agenda can serve as a guide for researchers, food retailers, funders, government agencies, and advocacy organizations.