Nutritional Profile of Purchases by Store Type: Disparities by Income and Food Program Participation

Restaurant outlet density and the healthfulness of food purchases: evidence from FoodAPS

Introduction

The average American household's diet and food purchasing patterns are out of sync with federal recommendations. Researchers have connected this with the large and growing rates of obesity, diabetes, and other diet-related ailments in the U.S. Restaurant food has been discussed a potential contributor to unhealthful diets, as it is often calorically dense. We investigate the association between household access to restaurants and diet quality using USDA FoodAPS data and NPD ReCount data.

Methods

We define radii around households to measure restaurant outlet counts and apply a regression analysis incorporating household characteristics.

Results

We find that neither restaurant counts nor openings share many statistically or economically significant associations with average dietary quality. Household characteristics and demographics are far more powerful in explaining variation in diet quality.

Discussion

Our findings align with the large and growing body of empirical research that suggests that personal preferences and other household characteristics are more important than the food environment in explaining food choices and diet quality. Given the extant research on the importance of access to large supermarkets, our results suggest that access to food retailers is more important in explaining diet quality than access to restaurants.

Nonalcoholic Fatty Liver Disease Prevalence Trends Among Adolescents and Young Adults in the United States, 2007-2016

Understanding the burden of NAFLD among adolescents and young adults has become increasingly relevant. Our aim was to estimate the prevalence of NAFLD among adolescents and young adults in the United States. Data were obtained from National Health and Nutrition Examination Survey from 2007-2016. Adolescents and young adults aged 12 to 29 years were included. NAFLD was determined by the U.S. Fatty Liver Index in the absence of secondary causes of liver disease, and the differences in prevalence trends were analyzed based on age, gender, and race. Complete data were available for 4,654 adolescents and young adults (mean age 21 years; 50.9% male; 56.8% White, 20.9% Hispanic, and 13.3% Black). The overall prevalence of NAFLD among adolescents and young adults was 18.5%, ranging from 13.2% among early and middle adolescents (12-17 years) to 18.7% among late adolescents and young adults (18-24 years), to 24.0% among older young adults (25-30 years) (trend P < 0.001). The prevalence of NAFLD was higher for boys than for girls (aged 12-17: 15.1% vs. 11.3%; aged 18-24: 21.1% vs. 16.2%; aged 25-30: 28.7% vs. 19.2%, all P < 0.030). Among all age groups, Hispanics had a higher prevalence of NAFLD than Whites and Blacks (pairwise P < 0.001). Over the study time period, the prevalence of NAFLD among early and middle adolescents and young adults did not change (trend P > 0.80). In contrast, NAFLD prevalence among late adolescents increased (trend P = 0.018). In fact, White and Hispanic late adolescents were the drivers behind this increase in the prevalence of NAFLD. Conclusion: These data indicate an increasing trend in NAFLD prevalence among 18-24-year-olds. These data have important public health and policy implications.

Socio-economic and racial/ethnic disparities in the nutritional quality of packaged food purchases in the USA, 2008-2018

OBJECTIVE

To determine whether disparities exist in the nutritional quality of packaged foods and beverage purchases by household income, education and race/ethnicity and if they changed over time.

DESIGN

We used Nielsen Homescan, a nationally representative household panel, from 2008 to 2018 (n = 672 821 household-year observations). Multivariate, multilevel regressions were used to model the association between sociodemographic groups and a set of nutritional outcomes of public health interest, including nutrients of concern (sugar, saturated fat and Na) and calories from specific food groups (fruits, non-starchy vegetables, processed meats, sugar-sweetened beverages and junk foods).

SETTING

Household panel survey.

PARTICIPANTS

Approximately 60 000 households each year from the USA.

RESULTS

Disparities were found by income and education for most outcomes and widened for purchases of fruits, vegetables and the percentage of calories from sugar between 2008 and 2018. The magnitude of disparities was largest by education. Disparities between Black and White households include the consumption of processed meats and the percentage of calories from sugar, while no disparities were found between White and Hispanic households. Disparities have been largely persistent, as any significant changes over time have been substantively small.

CONCLUSIONS

Policies to improve the healthfulness of packaged foods must be expanded beyond SSB taxes, and future research should focus on what mediates the relationship between education and diet so as not to exacerbate disparities.

Impact of the supplemental nutritional assistance program on diet-related disease morbidity among older adults

Objectives

To examine the health effects of the Supplemental Nutritional Assistance Program (SNAP) and the differential impact of SNAP across race/ethnicity among older adults.

Data Source/Study Setting

2008‐2013 Medical Expenditure Panel Survey, a nationally representative population‐based complex sample survey.

Study Design

A difference‐in‐regression‐discontinuity (DRD) design is used to assess the impacts of SNAP on diet‐related disease morbidity. The primary outcomes were the prevalence rate of hypertension, coronary heart disease, stroke, diabetes, and cancer. We also conducted supplemental analysis to examine potential co‐occurring trends in medical utilization.

Data Collection/Extraction Methods

Data are publicly available.

Principal Findings

In the full sample, SNAP eligibility was associated with a significant decline in diabetes (−3.71 percentage points [pp]; P < .05). Non‐Hispanic (NH) White respondents reported trends similar to the full sample; however, NH Black respondents reported large declines in hypertension (−13.95 pp; P < .01) and Hispanic respondents reported declines in the prevalence of angina (−6.94 pp; P < .05) and stroke (−4.48 pp; P < .05).

Conclusions

Supplemental Nutritional Assistance Program eligibility was associated with the reduced prevalence of diet‐related disease among older adults. These observed declines in the prevalence of diet‐related disease do not appear to be attributable to increased medical visits or spending on medical services and prescriptions.

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

Disparities in diet quality persist in the U.S. Examining consumer food purchasing can provide unique insight into the nutritional inequities documented by race/ethnicity, socioeconomic status (SES), and geographic location (i.e., urban vs. rural). There remains limited understanding of how these three factors intersect to influence consumer food purchasing. This study aimed to summarize peer-reviewed scientific studies that provided an intersectional perspective on U.S. consumer food purchasing. Thirty-four studies were examined that presented objectively measured data on purchasing outcomes of interest (e.g., fruits, vegetables, salty snacks, sugar-sweetened beverages, Healthy Eating Index, etc.). All studies were of acceptable or high quality. Only six studies (17.6%) assessed consumer food purchases at the intersection of race/ethnicity, SES, or geographic location. Other studies evaluated racial/ethnic or SES differences in food purchasing or described the food and/or beverage purchases of a targeted population (example: low-income non-Hispanic Black households). No study assessed geographic differences in food or beverage purchases or examined purchases at the intersection of all three factors. Overall, this scoping review highlights the scarcity of literature on the role of intersectionality in consumer food and beverage purchasing and provides recommendations for future studies to grow this important area of research.

Examining disparities in diet quality between SNAP participants and non-participants using Oaxaca-Blinder decomposition analysis

Recent studies have reported that SNAP participants have poorer diet quality than non-participants. This study aimed to examine how differences in socio-demographic, household, and health-related measures explain disparities in diet quality between SNAP participants and non-participants using Oaxaca-Blinder decomposition analysis. We analyzed cross-sectional data on 14,331 adult respondents of the National Health and Nutrition Examination Survey (NHANES) 2009 - 2014. To measure diet quality, we applied the Healthy Eating Index (HEI)-2015 to respondents' 24-hour dietary recall data (scale: 0-100 points). We used Oaxaca-Blinder decomposition analysis to determine how much of the disparity in HEI-2015 total score between SNAP participants and non-participants was explained by socio-demographic (e.g., age, race/ethnicity, educational), household (e.g., household size, food security status), and health-related measures (e.g., BMI, smoking status). Analyses performed revealed significant differences in HEI-2015 total score by SNAP participation status (p < 0.001). We found that the total gap in HEI-2015 total score between SNAP participants and income-ineligible non-participants was 6.30 points. Socio-demographic measures alone explained 72.40% of the disparity. All measures together explained 86.31% of the disparity. The total gap between SNAP participants and income-eligible non-participants was 3.24 points. Socio-demographic measures alone explained 35.51% of this disparity while all measures together explained 56.86%. We observed disparities in diet quality between SNAP participants and non-participants. Socio-demographic, household, and health-related measures explained a significant amount of the disparity that existed between SNAP participants and income-ineligible non-participants; they explained less of the disparity between SNAP participants and income-eligible non-participants.

Fruit and Vegetable Purchasing Patterns and Supplemental Nutrition Assistance Program Participation: Findings From a Nationally Representative Survey

BACKGROUND

Previous studies suggest that Supplemental Nutrition Assistance Program (SNAP) participants purchase less produce than nonparticipants. Whether this is due to buying smaller amounts or to being less likely to buy any produce is unclear. Purchase patterns may also differ over the monthly distribution cycle.

OBJECTIVE

To examine differences in the likelihood and amounts of fruits and vegetables purchased between SNAP household compared with nonparticipant households and to determine differences in produce purchases among SNAP households at different time points in the monthly distribution cycle.

DESIGN

Cross-sectional.

PARTICIPANTS/SETTING

Data from 4708 households in the National Household Food Acquisition and Purchase Survey (April 2012 to January 2013). Participants recorded all foods acquired over 7 days.

MAIN OUTCOME MEASURES

Fruits and vegetables acquired over a 7-day period.

STATISTICAL ANALYSES PERFORMED

Weighted logistic and linear regression models adjusting for household and primary respondent characteristics were used to compare odds of purchasing fruits and vegetables and amounts purchased across 3 categories: SNAP participants, SNAP-eligible nonparticipants, and ineligible nonparticipants. SNAP participants were further subdivided according to weeks since last receiving benefits.

RESULTS

In adjusted analyses, SNAP participants and nonparticipants were similarly likely to purchase fruits and vegetables. However, SNAP households within a week of receiving benefits were more likely than SNAP households later in the benefit cycle to buy fruit overall, especially frozen or canned fruit, and vegetables overall, including fresh, frozen or canned, starchy, and nonstarchy vegetables (fruit odds ratio [OR] 1.68, 95% confidence interval [CI] 1.12, 2.53; vegetable OR 1.63, 95% CI 1.04, 2.55 vs households in middle of cycle). In contrast, those in the last week of the benefit cycle were less likely to purchase fruit, especially fresh fruit, and vegetables, especially fresh and nonstarchy vegetables (fruit OR 0.58, 95% CI 0.35, 0.94; vegetable OR 0.58, 95% CI 0.42, 0.79 vs. households in middle of cycle), and when they bought vegetables, they bought significantly less.

CONCLUSION

Considering all SNAP households together at different points in their distribution cycle masks substantial declines in purchasing fruits and vegetables over the monthly cycle.

Nutrition Disparities and Cardiovascular Health

PURPOSE OF REVIEW

This review is an assessment of the state of the science on nutrition disparities and their contribution to disparities in cardiovascular health.

RECENT FINDINGS

Nutrition disparities remain pervasive by race/ethnicity, sex/gender, socioeconomic status, and geography. They are rooted in differences in social, cultural, and environmental determinants of health, behavioral and lifestyle factors, and the impact of policy interventions. Systematic differences in diet quality, dietary patterns, and nutrient intakes contribute to cardiovascular disparities and are mediated by microbiota, and CVD risk factors including high levels of blood pressure, low density lipoprotein cholesterol (LDL), and glucose; oxidative stress, pro-inflammatory cytokines, and endothelial dysfunction. Despite the progress made in nutrition research, important gaps persist that signal the need for more effective interventions at multiple levels to reduce cardiovascular disparities. Research opportunities include (1) exploring the gene-nutrient-environment interactions in the context of ancestral diversity; (2) investigating the causal link between diet and gut microbiota and impact of social determinants of health; (3) understanding resilience; (4) testing the effectiveness of multi-level interventions that address social and environmental determinants; and (4) supporting intervention research informed by validated implementation science frameworks.

Supplemental Nutrition Assistance Program Data: Why Disclosure Is Needed

The Supplemental Nutrition Assistance Program (SNAP) provides funding to low-income households to purchase food at participating stores. The goals of the program include reducing hunger, improving nutrition, and strengthening the US food system. These are interrelated, as food access and choice depend on availability.SNAP generates data that could be useful for program evaluation and evidence-based policymaking to reach public health goals. However, the US Department of Agriculture (USDA) does not collect or disclose all SNAP-related data. In particular, the USDA does not systematically collect food expenditure data, and although it does collect transaction (sales) and redemption data (the amount retailers are reimbursed through SNAP), it does not release these data at the store level.In 2018, Congress quietly changed the law to prohibit the USDA from disclosing store-level transaction and redemption data, and in 2019, the US Supreme Court blocked disclosure of these data. These federal proceedings can inform the outcome of additional efforts to disclose SNAP-related data, as well as future research and policy evaluation to support improved public health outcomes for SNAP beneficiaries.