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.

Exploring Smoking Disparities and Sociodemographic Factors in a Peri-urban Landscape: A Census Tract-Level Analysis in McLennan County, Texas.

Cigarette smoking significantly contributes to preventable illness, death, and economic costs. Despite overall reduction in national smoking rates, disparities persist between demographic groups and geographic regions. While some studies have explored urban-rural differences in smoking prevalence, gaps exist in understanding localized patterns. This study focuses on examining smoking rates and related factors at the census tract level in McLennan County, Texas, a county that contains a mixture of urban, peri-urban, and rural areas. This study uses census tract level aggregate sociodemographic, smoking, and health-related data from the American Community Survey and the PLACES Project City Health Dashboard. Geospatial analyses mapped co-occurrence of high prevalence of smoking, mental and physical distress, and co-occurrence of lower routine medical check-ups, household income, and education. Multiple linear regression modeled associations between smoking and sociodemographic, and health-related factors. Geospatial analyses identified census tracts with co-occurring high prevalence of smoking, mental and physical distress, and co-occurrence of lower routine medical check-ups, household income, and education level in McLennan County. Regression analyses identified that smoking rates were positively correlated with frequent physical distress (p < 0.0001) and negatively correlated with the proportion of routine medical check-ups (p < 0.0001) and the proportion living in poverty (p = 0.0002). This study found significant variations in smoking rates, physical and mental distress, medical check-ups, and sociodemographic factors between neighboring census tracts which geospatial analyses examining larger geographic units may have overlooked. Future research should focus on obtaining individual-level and community-level data to develop more targeted interventions sensitive to specific community contexts.

Cross-Sector Partnerships for Improved Cooking Skills, Dietary Behaviors, and Belonging: Findings from a Produce Prescription and Cooking Education Pilot Program at a Federally Qualified Health Center.

Participant engagement, psychosocial factors, and dietary behaviors are important components of "Food as Medicine" and cooking education programs. The purpose of this study is to describe a multidisciplinary cooking program at a Federally Qualified Health Center in central Texas. During biannual harvest seasons (2022-2023), patients participated in four or six weekly 1.5 h hands-on cooking classes with shared meals, education, and produce delivery. Pretest-posttest surveys assessed sociodemographic information, health, psychosocial factors, and dietary behaviors; follow-up assessed group cohesion/sense of community in classes. Survey data were described using means and proportions. Across four cohorts, participants (n = 33; mean age: 45 ± 16 years) were 30% Hispanic/Latino, 18% non-Hispanic Black, and 52% non-Hispanic White; on average, participants attended 66% of sessions. Increases in cooking self-efficacy (p < 0.001) and diet-related self-management strategies (p < 0.001) were observed for those with follow-up data (n = 16); further, 44% reported increased vegetable consumption. All participants (100%) reported feeling like a valued member of their cooking group and 94% reported high levels of belonging. In a diverse community health center serving low-income patients, provision of produce and cooking education classes supported strategies to improve diet-related confidence, skills, and behavior. Cross-sector partnership within a health care setting may help patients and physicians prioritize nutrition and food access.

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.

Five U.S. Dietary Patterns and Their Relationship to Land Use, Water Use, and Greenhouse Gas Emissions: Implications for Future Food Security.

The U.S. agri-food system is a driver of climate change and other impacts. In order to achieve environmental targets that limit global mean temperature rise ≤2 °C, a shift in American dietary patterns is critical. The purpose of this study was twofold: (1) to determine the environmental impact (i.e., land use, water use, and GHG emissions) related to consumption of five U.S. dietary patterns (i.e., Current U.S., the Healthy U.S., Mediterranean, Healthy Vegetarian, and Vegan), and (2) to determine the specific impact of each food group in each dietary pattern on the three environmental indicators. This study utilized existing datasets to synthesize information related to the study's environmental indicators and food production and connected these data to the current U.S. diet and the USDA-defined diets. Results indicate that the three omnivore diets contributed the greatest to GHG emissions, land use and water use. The Vegan diet scored the lowest across all indicators, although the water required for plant-based protein nearly offset other water gains. For the omnivore diets, red meat and dairy milk contributed the most to each environmental indicator. By considering sustainability as well as health outcomes in their recommendations in the Dietary Guidelines, the USDA can have a critical role in shifting diets necessary to alter climate change trends.

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 (ß = 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 (ß= -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.

Fresh for Less: Cross-Sector Collaboration for Funding, Implementation, and Evaluation of a Local Initiative to Improve Equitable Healthy Food Access.

INTRODUCTION: This study describes the cross-sector collaboration, dynamic implementation/evaluation, and implications of Fresh for Less (FFL); an equity-focused, multi-strategy healthy food access promotion program that has been implemented since 2017 in underserved communities in Austin, Texas through farmstands, mobile markets, and Healthy Corner Stores. METHODS: Annual evaluation has consisted of repeat cross-sectional quantitative surveys, qualitative customer/staff interviews, audits and cost-effective analyses. RESULTS: Farmstand/mobile market customers reported increased fresh produce consumption and high satisfaction. During COVID-19, mobile markets quickly pivoted to delivery, filling a huge need for safe and affordable grocery delivery. Healthy Corner Stores were not as successful, and this strategy was adapted and reintroduced in 2021. Audits show increased produce provision over time and that mobile markets offered increasingly competitive pricing. DISCUSSION: Fresh for Less demonstrates how cross-sector collaborators can work together to ensure that a program designed to improve equitable food access can be resilient, sustainable, and successful.

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.

Exploring the Impact of Policies to Improve Geographic and Economic Access to Vegetables among Low-Income, Predominantly Latino Urban Residents: An Agent-Based Model.

Modifying the food environment of cities is a promising strategy for improving dietary behaviors, but using traditional empirical methods to test the effectiveness of these strategies remains challenging. We developed an agent-based model to simulate the food environment of Austin, Texas, USA, and to test the impact of different food access policies on vegetable consumption among low-income, predominantly Latino residents. The model was developed and calibrated using empirical data from the FRESH-Austin Study, a natural experiment. We simulated five policy scenarios: (1) business as usual; (2)−(4) expanding geographic and/or economic healthy food access via the Fresh for Less program (i.e., through farm stands, mobile markets, and healthy corner stores); and (5) expanding economic access to vegetables in supermarkets and small grocers. The model predicted that increasing geographic and/or economic access to healthy corner stores will not meaningfully improve vegetable intake, whilst implementing high discounts (>85%) on the cost of vegetables, or jointly increasing geographic and economic access to mobile markets or farm stands, will increase vegetable intake among low-income groups. Implementing discounts at supermarkets and small grocers is also predicted to be an effective policy for increasing vegetable consumption. This work highlights the utility of agent-based modeling for informing food access policies.

Change in Depression and Its Determinants during the COVID-19 Pandemic: A Longitudinal Examination among Racially/Ethnically Diverse US Adults.

This study examined longitudinal data to identify changes in the occurrence of depressive symptoms, and to explore if such changes were associated with socio-demographic, movement behaviors, and health variables during the COVID-19 pandemic, among a diverse sample of central Texas residents. Participants who completed two online surveys in 2020 (in June and November) from an on-going longitudinal study were included. Depressive symptoms were measured by Patient Health Questionnaire-2. Change in depressive symptoms' occurrence status between the two time points was categorized into (1) stable/improved, and (2) consistent depressive symptoms/declined. Sociodemographic factors, movement behaviors and health data were self-reported. Statistical analyses utilized descriptive statistics and logistical regression. Among a total of 290 individuals (84.1% female; 71.0% racial/ethnic minorities), 13.5% were categorized as consistent depressive symptoms/declined. Multivariable logistic regression indicated that racial/ethnic minorities, older age, and increased physical activity were associated with a lower likelihood, while greater sedentary time was associated with higher likelihood of consistent depressive symptoms/declined status. Between 3 months and 8 months into the pandemic, various socio-demographic and behavioral variables were associated with changes in depressive symptoms' occurrence status. Future research should explore the longer-term impacts of COVID-19 on depression among a diverse population and identify risk factors for depression.

A Multi-Pronged Evaluation of a Healthy Food Access Initiative in Central Texas: Study Design, Methods, and Baseline Findings of the FRESH-Austin Evaluation Study.

Food insecurity and limited healthy food access are complex public health issues and warrant multi-level evaluations. The purpose of this paper was to present the overall study design and baseline results of the multi-pronged evaluation of a healthy food access (i.e., Fresh for Less (FFL)) initiative in Central Texas. The 2018-2021 FRESH-Austin study was a natural experiment that utilized a cluster random sampling strategy to recruit three groups of participants (total n = 400): (1) customers at FFL assets, (2) residents that lived within 1.5 miles of an FFL asset, and (3) residents from a comparison community. Evaluation measures included annual cohort surveys, accelerometers and GPS devices, store-level audits, and built environment assessments. Data are being used to inform and validate an agent-based model (ABM) to predict food shopping and consumption behaviors. Sociodemographic factors and food shopping and consumption behaviors were similar across the three groups; however, customers recruited at FFL assets were lower income and had a higher prevalence of food insecurity. The baseline findings demonstrate the need for multi-level food access interventions, such as FFL, in low-income communities. In the future, ABM can be used as a cost-effective way to determine potential impacts of future large-scale food environment programs and policies.

Examining food insecurity and areas with unmet food needs during COVID-19: A geospatial, community-specific approach.

Food insecurity is a public health issue that has increased in the U.S. since the 2020 COVID-19 pandemic. Understanding how this increase occurs locally is crucial in informing appropriate food insecurity-related responses. Analyzing 2-1-1 call data is one way to examine food insecurity-related needs at a zip code level. The purpose of this work was to: (1) examine overall call trend data to 2-1-1 from March through July 2019 and March through July 2020, (2) examine changes in food need call volume to 2-1-1 during COVID-19 by zip code, and (3) identify areas with unmet food needs during COVID-19 in central Texas. Data for 2-1-1 calls from Travis County zip codes for March through July 2020 were compared to calls for March through July 2019 and categorized by reason for calling. Descriptive statistics and paired t-tests were used to analyze food need calls by zip code and mapped using ArcGIS. Communities with high food call volume and no emergency food assets located within the zip code were categorized as areas with unmet food needs. Results indicated there were more overall calls to 2-1-1 in 2020 (N=37,572) than in 2019 (N=28,623), and significantly more food need calls in 2020 than in 2019 (p<0.01). Eastern Travis County, a racially and ethnically diverse and lower-income area, had the largest increase in food need calls. Two zip codes were identified as having unmet food needs, which informed the strategic placement of emergency food assets. This study illustrates how 2-1-1 data can result in rapid translation of research to policy and program implementation.

Correlates of Transitions in Food Insecurity Status during the Early Stages of the COVID-19 Pandemic among Ethnically Diverse Households in Central Texas.

Food insecurity increased substantially in the USA during the early stages of the 2020 COVID-19 pandemic. The purpose of this study was to identify potential sociodemographic and food access-related factors that were associated with continuing or transitioning into food insecurity in a diverse population. An electronic survey was completed by 367 households living in low-income communities in Central Texas during June-July 2020. Multinomial logistic regression models were developed to examine the associations among food insecurity transitions during COVID-19 and various sociodemographic and food access-related factors, including race/ethnicity, children in the household, loss of employment/wages, language, and issues with food availability, accessibility, affordability, and stability during the pandemic. Sociodemographic and food access-related factors associated with staying or becoming newly food insecure were similar but not identical. Having children in the household, changes in employment/wages, changing shopping location due to food availability, accessibility and/or affordability issues, issues with food availability, and stability of food supply were associated with becoming newly food insecure and staying food insecure during the pandemic. Identifying as Latino and/or Black was associated with staying food insecure during COVID-19. These findings suggest that the COVID-19 pandemic did not create new food insecurity disparities. Rather, the pandemic exacerbated pre-existing disparities.

Mapping Food Insecurity-Related 2-1-1 Calls in a 10-County Area of Central Texas by Zip Code: Exploring the Role of Geographic Food Access, Urbanicity and Demographic Indicators.

Food insecurity is a public health issue that affects 12% of Americans. Individuals living in food insecure households are more likely to suffer from conditions such as undernutrition, obesity and chronic diseases. Food insecurity has been linked to limited geographic access to food; however, past studies have used limited measures of access which do not fully capture the nuances of community context. The purpose of this study was to explore the association between food insecurity and geographic food access by level of urbanicity. 2-1-1 calls made in 2018 in Central Texas were classified as food needs versus non-food needs. Supermarket and convenience stores were mapped using ArcGIS. Geographic food access was operationalized as the presence of supermarkets and convenience stores: within the zip code; only in neighboring zip codes; and not located within or in neighboring zip codes. Descriptive statistics and binomial logistic regression were used to examine associations between geographic access and 2-1-1 food calls, stratified by level of urbanicity. 11% of the 2-1-1 calls made in 2018 (N = 55,405) were regarding food needs. Results showed that peri-urban and rural callers living in zip codes that only had supermarkets in neighboring zip codes had greater odds of calling about food needs compared to those that had supermarkets within the zip code. These findings indicate that geographic food access is associated with food insecurity, but this relationship varies by urbanicity. Thus, the development of food insecurity mitigation programs in peri-urban and rural areas is needed.

Neighborhood Food Environment and Physical Activity Among U.S. Adolescents.

INTRODUCTION: Few U.S. adolescents meet physical activity guidelines. Although several neighborhood characteristics influence physical activity, the role of food-related features as potential drivers of adolescent physical activity remains understudied. Using representative U.S. data, authors examined the effect of the neighborhood food environment on adolescents' out-of-school physical activity. METHODS: The Family Life, Activity, Sun, Health, and Eating (FLASHE) study was conducted in 2014. Secondary data analysis occurred in 2018. Multinomial logistic regression models examined associations between neighborhood availability of (1) convenience store; (2) supermarket; (3) farmer's market; (4) fast food; (5) non-fast food restaurant and adolescent out-of-school physical activity (tertile-based, low as referent). An additional association between a total aggregate neighborhood food environment score was assessed. RESULTS: Final analytic sample was 1,384 adolescents (mean age=14.5 years, SD=1.6). Controlling for free/reduced-price lunch, age, sex, race/ethnicity, and neighborhood physical activity and social environments, the aggregate food environment score was significantly associated with high physical activity (versus low tertile; OR=1.2, 95% CI=1.1, 1.3). Most individual categories of food retail outlets were significantly and directly associated with out-of-school moderate- to vigorous-intensity physical activity in the single food environment variable models. However, when fully adjusting for all food retail outlet categories plus confounders, they were no longer significant. CONCLUSIONS: The availability of a diverse combination of retail food destinations within walking distance from home may provide opportunities for adolescents to achieve more physical activity, likely because of transport-based physical activity. Pending future research, these findings suggest that the role of the food environment on health extends beyond its influence on dietary behaviors to other health behaviors like physical activity.