Background: Socioeconomic and racial-ethnic disparities in health status across the United States are large and persistent. Obesity rates are rising faster in black and Hispanic populations than in white populations, and they foreshadow even greater disparities in chronic illnesses such as diabetes and cardiovascular disease in years to come. Factors that influence dietary intake of fruit and vegetables in these populations are only partly understood. Objectives: We examined associations between fruit and vegetable intake and neighborhood socioeconomic status (SES), analyzed whether neighborhood SES explains racial differences in intake, and explored the extent to which neighborhood SES has differential effects by race-ethnicity of US adults. Design: Using geocoded residential addresses from the Third National Health and Nutrition Examination Survey, we merged individual-level data with county and census tract–level US Census data. We estimated 3-level hierarchical models predicting fruit and vegetable intake with individual characteristics and an index of neighborhood SES as explanatory variables. Results: Neighborhood SES was positively associated with fruit and vegetable intake: a 1-SD increase in the neighborhood SES index was associated with consumption of nearly 2 additional servings of fruit and vegetables per week. Neighborhood SES explained some of the black-white disparity in fruit and vegetable intake and was differentially associated with fruit and vegetable intake among whites, blacks, and Mexican Americans. Conclusions: The positive association of neighborhood SES with fruit and vegetable intake is one important pathway through which the social environment of neighborhoods affects population health and nutrition for whites, blacks, and Hispanics in the United States.

Placing full-service supermarkets in food deserts—areas with limited access to healthy food—has been promoted as a way to reduce inequalities in access to healthy food, improve diet, and reduce the...

Using data (n = 60,775 women) from the Women's Health Initiative Clinical Trial (WHI CT)—a national study of postmenopausal women aged 50–79 years—we analyzed cross‐sectional associations between the availability of different types of food outlets in the 1.5 miles surrounding a woman's residence, census tract neighborhood socioeconomic status (NSES), BMI, and blood pressure (BP). We simultaneously modeled NSES and food outlets using linear and logistic regression models, adjusting for multiple sociodemographic factors, population density and random effects at the tract and metropolitan statistical area (MSA) level. We found significant associations between NSES, availability of food outlets and individual‐level measurements of BMI and BP. As grocery store/supermarket availability increased from the 10th to the 90th percentile of its distribution, controlling for confounders, BMI was lower by 0.30 kg/m². Conversely, as fast‐food outlet availability increased from the 10th to the 90th percentile, BMI was higher by 0.28 kg/m². When NSES increased from the 10th to the 90th percentile of its distribution, BMI was lower by 1.26 kg/m². As NSES increased from the 10th to the 90th percentile, systolic and diastolic BP were lower by 1.11 mm Hg and 0.40 mm Hg, respectively. As grocery store/supermarket outlet availability increased from the 10th and 90th percentiles, diastolic BP was lower by 0.31 mm Hg. In this national sample of postmenopausal women, we found important independent associations between the food and socioeconomic environments and BMI and BP. These findings suggest that changes in the neighborhood environment may contribute to efforts to control obesity and hypertension.

Objective: To provide a richer understanding of food access and purchasing practices among US urban food desert residents and their association with diet and BMI.Design: Data on food purchasing practices, dietary intake, height and weight from the primary food shopper in randomly selected households (n 1372) were collected. Audits of all neighbourhood food stores (n 24) and the most-frequented stores outside the neighbourhood (n 16) were conducted. Aspects of food access and purchasing practices and relationships among them were examined and tests of their associations with dietary quality and BMI were conducted.Setting: Two low-income, predominantly African-American neighbourhoods with limited access to healthy food in Pittsburgh, PA, USA.Subjects: Household food shoppers.Results: Only one neighbourhood outlet sold fresh produce; nearly all respondents did major food shopping outside the neighbourhood. Although the nearest full-service supermarket was an average of 2·6 km from their home, respondents shopped an average of 6·0 km from home. The average trip was by car, took approximately 2 h for the round trip, and occurred two to four times per month. Respondents spent approximately $US 37 per person per week on food. Those who made longer trips had access to cars, shopped less often and spent less money per person. Those who travelled further when they shopped had higher BMI, but most residents already shopped where healthy foods were available, and physical distance from full-service supermarkets was unrelated to weight or dietary quality.Conclusions: Improved access to healthy foods is the target of current policies meant to improve health. However, distance to the closest supermarket might not be as important as previously thought, and thus policy and interventions that focus merely on improving access may not be effective.

Objectives. To examine the impact of COVID-19 shutdowns on food insecurity among a predominantly African American cohort residing in low-income racially isolated neighborhoods. Methods. Residents of 2 low-income African American food desert neighborhoods in Pittsburgh, Pennsylvania, were surveyed from March 23 to May 22, 2020, drawing on a longitudinal cohort (n = 605) previously followed from 2011 to 2018. We examined longitudinal trends in food insecurity from 2011 to 2020 and compared them with national trends. We also assessed use of food assistance in our sample in 2018 versus 2020. Results. From 2018 to 2020, food insecurity increased from 20.7% to 36.9% (t = 7.63; P < .001) after steady declines since 2011. As a result of COVID-19, the United States has experienced a 60% increase in food insecurity, whereas this sample showed a nearly 80% increase, widening a preexisting disparity. Participation in the Supplemental Nutrition Assistance Program (52.2%) and food bank use (35.9%) did not change significantly during the early weeks of the pandemic. Conclusions. Longitudinal data highlight profound inequities that have been exacerbated by COVID-19. Existing policies appear inadequate to address the widening gap.