Developing an index to estimate the association between the food environment and CVD mortality rates

Food Environments and Cardiovascular Disease: Evidence From the Health and Retirement Study

INTRODUCTION

Residential food environments are one of the important determinants of cardiovascular health. However, past literature has been limited by short-term follow-ups, time-invariant environmental measurements at baseline, and/or not investigating both healthy and unhealthy aspects of the food environment. This study examines the effects of time-varying healthy and unhealthy food environments on incident cardiovascular disease (CVD) over 10 years, extracting data from the Health and Retirement Study (2006-2016; N=10,413).

METHODS

Cox proportional hazards modeling was performed with inverse probability weighting to assess the association between time-varying food environmental measures (i.e., densities of grocery stores, supercenters/club stores, full-service restaurants, and fast-food restaurants) and incident CVD over 10 years. Education level and race/ethnicity were tested as potential moderators. Analyses were conducted in 2022-2023.

RESULTS

Race/ethnicity had a significant interaction effect with supercenters/club stores and indicated that a 1-standard-deviation increase in the density of supercenters/club stores was associated with a 6%-8% lower risk of incident CVD in non-Hispanic Black (HR=0.78, 95% CI=0.70-0.87) and Hispanic older adults (HR=0.69, 95% CI=0.50-0.96), but not non-Hispanic White older adults. Additionally, education had a significant interaction effect with full-service restaurants, indicating that a 1-standard-deviation increase in the density of full-service restaurants was associated with a 10% lower risk of incident CVD in individuals with 13+ years of schooling, but not those with 0-12 years of schooling.

CONCLUSIONS

Findings suggest that public policymakers should be aware of the benefits and nuances of varying food environment components as they can contribute to positive or negative cardiovascular health.

Differences in a Chain Supermarket's Sales to SNAP Shoppers Before and Since the COVID-19 Pandemic

OBJECTIVE

This study 1) compares grocery sales to Supplemental Nutrition Assistance Program (SNAP) shoppers in rural and urban grocery stores and 2) estimates changes in sales to SNAP shoppers in North Carolina (NC) since the pandemic.

DESIGN

Weekly transaction data among loyalty shoppers at a large grocery chain across NC from October 2019 to December 2020 (n = 32; 182 store weeks) to assess nutritional outcomes.

SETTING

North Carolina large chain grocery stores.

PARTICIPANTS

Large chain grocery store/SNAP shoppers.

INTERVENTION

Rural/urban status of the stores and COVID-19 pandemic onset.

MAIN OUTCOME MEASURES

Share of total calories sold from fruits, vegetables, nuts, and legumes (FVNL) with and without additives, sugar-sweetened beverages (SSB), less healthful foods (LHF), and processed meats (PM).

ANALYSIS

Multivariate random effects models with robust standard errors to examine the association of rural/urban status before and since coronavirus disease 2019 with the share of calories sold to SNAP shoppers from each food category. We controlled for county-level factors (eg, sociodemographic composition, food environment) and store-level factors.

RESULTS

We did not find significant rural-urban differences in the composition of sales to SNAP shoppers in adjusted models. There was a significant decrease in the mean share of total calories from sugar-sweetened beverages (-0.43%) and less healthful food (-1.32%) and an increase in the share from processed meats (0.09%) compared with before the pandemic (P < 0.05).

CONCLUSIONS AND IMPLICATIONS

Urban-rural definitions are insufficient to understand nuances in food environments, and more support is needed to ensure healthy food access.

The Link between Food Environment and Colorectal Cancer: A Systematic Review

Food and diet are critical risk factors for colorectal cancer (CRC). Food environments (FEs) can contribute to disease risk, including CRC. This review investigated the link between FEs and CRC incidence and mortality risk. The systematic search of studies utilised three primary journal databases: PubMed, Scopus, and Web of Science. Retrieved citations were screened and the data were extracted from articles related to the FE-exposed populations who were at risk for CRC and death. We evaluated ecological studies and cohort studies with quality assessment and the Newcastle-Ottawa Quality Assessment Form for Cohort Studies, respectively. A descriptive synthesis of the included studies was performed. Out of 89 articles identified, eight were eligible for the final review. The included studies comprised six ecological studies and two cohort studies published from 2013 to 2021. Six articles were from the US, one was from Africa, and one was from Switzerland. All eight studies were of good quality. The significant finding was that CRC incidence was associated with the availability of specific foods such as red meat, meat, animal fats, energy from animal sources, and an unhealthy FE. Increased CRC mortality was linked with the availability of animal fat, red meat, alcoholic beverages, and calorie food availability, residence in food deserts, and lower FE index. There were a variety of associations between CRC and the FE. The availability of specific foods, unhealthy FE, and food desserts impact CRC incidence and mortality. Creating a healthy FE in the future will require focus and thorough planning.