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Background: Community pharmacists can play an important role in helping patients who live in food deserts through screening, adjusting therapeutic recommendations and counseling practices, and making referrals to community resources. However, literature regarding community pharmacists' knowledge, practices, and attitudes regarding food deserts is scant.Objectives: The primary objective of this study was to assess Ohio community pharmacists' knowledge regarding food deserts. Secondary objectives included determining their attitudes, practices, and perceived barriers related to this topic.Methods: An anonymous 26-question survey was created and distributed to a random sample of 500 licensed community pharmacists in Ohio. Participants were granted 3 weeks to complete the survey and were offered a link to free Accreditation Council for Pharmacy Education-approved continuing pharmacy education as an incentive. The survey was deemed exempt by the Institutional Review Board.Results: The survey was successfully delivered to 491 pharmacists; 72 participated (14.7% response rate). About 43% of respondents were familiar with the term "food desert," and less than one-third (31.9%) reported being aware of community resources. Of those who thought that some of their patients lived in food deserts, the majority indicated that they did not consider it in patient interactions (65.1%) and "never" adjusted their counseling practices (65.1%). Barriers that prevented them from referring patients included lack of knowledge and confidence as well as workflow constraints. About 68% of respondents somewhat or strongly agreed that pharmacists could help patients living in food deserts, and 65.3% were interested in learning more information about food deserts.Conclusion: Deficiencies in knowledge regarding food deserts and available resources were found among Ohio community pharmacists, but they showed interest in learning more information. Efforts should be made to educate community pharmacists about food deserts and to determine how to optimize their ability to assist patients as needed. [ABSTRACT FROM AUTHOR]

Nearly 14% of American children aged 2-5 have obesity, with higher rates in children from lower-income and Black families. While evidence connects neighborhood socioeconomic environment (SEE) and obesity in adults and adolescents, little is known of this relationship in young children. We compared measures of SEE and family-level socio-demographic factors as predictors of obesity at age two. Methods: Family-level data from the PREVAIL Cohort, a CDC-funded birth cohort in Cincinnati, Ohio, were collected prenatally from the mothers. Residential addresses were geocoded and assigned validated measures of census tract-level SEE, including USDA food desert indicators and the Deprivation Index. Family-level and ecological SEE were compared as predictors of obesity (BMIz ≥1.65) at age two in terms of proportional differences, relative risk, and model fit statistics. Results: Residing outside of Deprivation Index High SEE neighborhoods was significantly associated with higher proportion (20.0% vs 5.9%; Χ² = 4.36, p = 0.037) and increased risk of obesity in univariable (RR = 3.4, 95%CI: 1.26-13.86) and multivariable models (RR = 3.5, 95%CI: 1.06-11.71). There were no differences in proportion or risk of obesity by USDA food desert indicators or familylevel factors. Models using categorical Deprivation Index performed better than the family-level and the USDA food desert variables in terms of model fit. Conclusion: In the PREVAIL Cohort, only category of Deprivation Index was a significant predictor of obesity in two-year-old children. Future studies are needed to evaluate the Deprivation Index as a generalizable tool to identify neighborhoods at higher risk for obesity. [ABSTRACT FROM AUTHOR]

Introduction: The food environment influences the availability and affordability of food options for consumers in a given neighborhood. However, disparities in access to healthy food options exist, affecting Black and low-income communities disproportionately. This study investigated whether racial segregation predicted the spatial distribution of supermarkets and grocery stores better than socioeconomic factors or vice versa in Cleveland, Ohio., Method: The outcome measure was the count of supermarket and grocery stores in each census tract in Cleveland. They were combined with US census bureau data as covariates. We fitted four Bayesian spatial models. The first model was a baseline model with no covariates. The second model accounted for racial segregation alone. The third model looked at only socioeconomic factors, and the final model combined both racial and socioeconomic factors., Results: Overall model performance was better in the model that considered only racial segregation as a predictor of supermarkets and grocery stores (DIC = 476.29). There was 13% decrease in the number of stores for a census tract with a higher majority of Black people compared to areas with a lower number of Black people. Model 3 that considered only socioeconomic factors was less predictive of the retail outlets (DIC = 484.80)., Conclusions: These findings lead to the conclusion that structural racism evidenced in policies like residential segregation has a significant influence on the spatial distribution of food retail in the city of Cleveland., (© 2023. The Author(s).)

This research brings together concerns of food environments, food insecurity, and food access to demonstrate four measures of access for an emergency food provider network. Based on the interacting concerns of accessibility and accommodation, the measures are proximity, segment coverage, transit access, and transit time. Proximity measures geographic access, whereas segment coverage focuses on access at different times of the day, on different days of the week, during different weeks of the month. The two transit measures use the region's actual transit network scheduling to address space–time access via transit. The measures are applied to the food pantry network of Cuyahoga County, Ohio. Each demonstrates a unique nuance of access in the emergency food provider context, providing useful inputs into the process of meeting a community's emergency food needs. [ABSTRACT FROM AUTHOR]

Objective  Preterm birth (PTB) and food insecurity are two of the most significant public health crises in the United States. Effects of being underweight among populations with low food security are not well understood. We assess whether the protective effect of gestational weight gain (GWG) for women with low prepregnancy body mass index (BMI) differs by accessibility to sources of healthy food. Study Design  Population-based retrospective cohort study using Ohio birth records analyzing all live births, 2006 to 2015. Analyses were stratified by maternal BMI (underweight, normal, overweight, and obese), Institute of Medicine (IOM) recommended GWG (under vs. met), and whether the U.S. Department of Agriculture (USDA) classified the residential census tract for each birth as a food desert. Food access data were retrieved from the USDA's 2018 Food Access Research Atlas. Covariates were selected using least absolute shrinkage and selection operator regression. Logistic regression models estimated the risk ratio (RR) of PTB for each group based on under or exceeded recommended GWG (reference = met), adjusting for coexisting risk factors. Results  Analysis was performed on 1,124,299 births. PTB risk was highest for underweight women below GWG recommendations (no food desert: 21.3%, RR = 2.15, 95% confidence interval [CI]: 1.81–2.57; food desert: 21.0%, RR = 1.46, 95% CI: 0.96–2.21). Underweight women living in food deserts who exceeded GWG recommendations had lower PTB risk than those who met GWG recommendations (13.5 vs. 14.3%, RR = 0.85, 95% CI: 0.51–1.41). Factors other than GWG significantly associated with PTB included in the adjusted analysis include maternal age and race, education, marital status, interpregnancy interval, and presence of prepregnancy diabetes or hypertension. Conclusion  Underweight women who do not meet GWG recommendations are at high risk for PTB. Increasing pregnancy weight gain to a level that exceeds IOM recommendations was not associated with a reduction in PTB risk for underweight women who reside in food deserts compared with women who met GWG recommendations. Key Points Women with low prepregnancy BMI are at high risk of PTB. Food insecurity increases the risk of PTB for underweight women. Excessive GWG for underweight women in food deserts does not reduce PTB risk. [ABSTRACT FROM AUTHOR]

The purpose of our article is twofold. First, we introduce a framework for U.S. Extension educators to measure the extent of food access at any scale when information about food carried by retailers is limited. Second, we create a baseline for the Ohio Food Policy Council so that work to increase food access in rural areas will have a benchmark to measure success. Three broad aspects of food accessibility--physical, economic, and healthful--are considered. Lack of larger supermarkets, lack of competition, and high concentrations of nearby fast food alternatives are three issues that deserve attention in rural Ohio. [ABSTRACT FROM AUTHOR]