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Populations with food insecurity are less likely to eat or prepare healthy food at home, and have greater psychosocial barriers to healthy eating than populations that are food secure. Abstract It is well-known that consumption of nutrient-rich foods, especially fruits and vegetables, are low among food insecure populations. While cost is an important reason for these inadequate diets, underlying factors such as poor food purchase and management behaviors, and low levels of psychosocial factors that motivate dietary improvements, may exacerbate food insufficiency among the food-insecure. In this analysis, we examine these underlying factors across food-secure and food-insecure populations in Texas. Data on self-reported food insecurity, dietary practices, behaviors related to food purchase and management, and psychosocial factors related to food were obtained from a survey administered to a convenience sample of SNAP-eligible adults (n = 1,171) ages 18 and older, drawn from multiple low-income areas across the state of Texas in 2018 over two survey rounds. Mixed linear regression models adjusting for zip code as a random effect were used to compare mediators of diet across food-insecure and food-secure participants. Using the binary categories defined by the U.S. Household Food Security Survey Module scale 753 participants (64.3% of the sample collected) were classified as food insecure. Food insecure participants had notably unhealthier diet profiles, with significantly lower (p < .001) frequency and average serving size of fruit and vegetable consumption. They were also less likely to use food labels to make food choices (p < .001), and to cook a meal at home (p = .008). In contrast, differences across food secure and food insecure households in planning meals before going shopping, and making lists were much smaller. Finally, levels of various psychosocial precursors of healthy eating were also lower among food insecure participants, including self-efficacy for healthy eating (p = .014), self-efficacy to plan meals with vegetables (p = .048), and stage of change of fruit and vegetable consumption (p < .001). Overall, eating habits, specific food procurement and preparation practices, and levels of psychosocial precursors of healthy eating are significantly poorer among food insecure populations compared with food-secure low-income participants. Our results point to specific behaviors that can be targeted in educational and skill building interventions seeking to address poor dietary practices among the food insecure.

Little is known about the social needs of low-income households with children during the coronavirus-2019 (COVID-19) pandemic. Our objective was to conduct a cross-sectional quantitative and qualitative descriptive analysis of a rapid-response survey among low-income households with children on social needs, COVID-19-related concerns, and diet-related behaviors. We distributed an electronic survey in April 2020 to 16,435 families in 4 geographic areas, and 1,048 responded. The survey asked families enrolled in a coordinated school-based nutrition program about their social needs, COVID-19-related concerns, food insecurity, and diet-related behaviors during the pandemic. An open-ended question asked about their greatest concern. We calculated descriptive statistics stratified by location and race/ethnicity. We used thematic analysis and an inductive approach to examine the open-ended comments. More than 80% of survey respondents were familiar with COVID-19 and were concerned about infection. Overall, 76.3% reported concerns about financial stability, 42.5% about employment, 69.4% about food availability, 31.0% about housing stability, and 35.9% about health care access. Overall, 93.5% of respondents reported being food insecure, a 22-percentage-point increase since fall 2019. Also, 41.4% reported a decrease in fruit and vegetable intake because of COVID-19. Frequency of grocery shopping decreased and food pantry usage increased. Qualitative assessment identified 4 main themes: 1) fear of contracting COVID-19, 2) disruption of employment status, 3) financial hardship, and 4) exacerbated food insecurity. Our study highlights the compounding effect of the COVID-19 pandemic on households with children across the spectrum of social needs.

Background Parental and peer support can influence children’s physical activity; however, these associations have not been fully examined in a multi-ethnic population across early and late adolescence. The objective of this study was to examine associations between perceived parental/peer social support, perceived parental disapproval for not exercising, and physical activity/screen time behaviors among a multi-ethnic sample of adolescents. Methods The Texas School Physical Activity and Nutrition (TX SPAN) survey is a cross-sectional statewide probability-based survey, used to assess obesity-related behaviors such as diet and physical activity. The SPAN 2009–2011 study measured 8th and 11th grade students using a self-report questionnaire with established psychometric properties, along with objectively measured height and weight. Associations were examined using multiple logistic and linear regression. Results For every 1-point increase in parental physical activity support, adolescents had 1.14 higher odds of engaging in five or more days of moderate physical activity per week ( p  < 0.001), and 1.12 higher odds of engaging in three or more days of vigorous physical activity per week ( p  < 0.001). For every 1-point increase in peer physical activity support, adolescents had 1.17 higher odds of engaging in five or more days of moderate physical activity per week ( p  < 0.001), and 1.15 higher odds of engaging in three or more days of vigorous physical activity per week ( p  < 0.001). Conclusions Parental and peer social support is associated with positive physical activity behaviors in adolescents. Strategies to focus on parent and peer support should be integral to intervention programs designed to increase physical activity in adolescents in middle and high schools.

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.

As e-scooters have become common modes of transportations in urban environments, riding e-scooters has become a common mechanism of injury. This study examines the relationship between when riders are using these devices (i.e. day of week, and time of the day) and injury incidence based on data from a large U.S. city. This study is a retrospective cohort study of patients in the trauma registry at a level one trauma center. Registry data were combined with a publicly available dataset of all e-scooter trips that occurred during the study period. Frequency of injuries and trips were analyzed using ANOVA. Poisson regressions were conducted to calculate incidence rate ratios associated with injury incidence by day of the week and time of day. A total of 194 injured e-scooter patients were admitted to the trauma center during the study period. Patients were injured most often on Fridays (21%) and most often presented between 18:00–23:59 (38%). E-Scooter riders in general, most often rode on Saturdays (20%) and between 12:00–17:59 (44%). There was no significant relationship between day of week and injury. Riders in the early morning (IRR = 16.7, p < .001 95% CI: 10.5, 26.6), afternoon (IRR = 2.0, p = .01 95% CI: 1.2, 3.4), and evening (IRR = 3.7, p < .001 95% CI: 2.3, 6.2) had significant increased injury incidence compared to morning riders. E-Scooter injury incidence varies by the time of day. The time of day in which a person rides an e-scooter can have a significant impact on the likelihood that the person will sustain an injury.

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.

ObjectiveTo examine (1) if tobacco retail outlets (TROs) closer to middle and high schools have more tobacco advertisements than TROs farther away and (2) the potential impact of two place-based tobacco control strategies on tobacco advertisements: a simulated ban of TROs (1) within 1000ft of schools and (2) within 500 ft of other TROs.MethodsTROs within half-mile of 53 middle and high schools in the four largest Metropolitan areas in Texas were audited for all tobacco marketing. ArcGIS was used for mapping and grouping TROs by distance from the schools and simulating the ban. Mean differences in the number of tobacco advertisements were examined with t-tests. Percentage reductions in tobacco advertisements were calculated after simulation of both bans, reported by school type and by location, product and flavour.ResultsTROs within 1000 ft of schools had significantly more tobacco advertisements as compared with TROs located within 1000-2000 ft (p=0.03) for all schools combined and middle schools. Simulation of the 1000 ft ban of TROs led to a slightly greater reduction in advertisements (19.4%) as compared with the 500 ft ban of TROs from other TROs (17.9%). The reduction in all advertisement types was greater around middle schools and greatest for e-cigarettes (23.6%).ConclusionStudents can be exposed to a great deal of tobacco advertising in TROs around their schools. The implementation of a 1000 ft ban of TROs, or at minimum a ban on tobacco advertising outside and within these outlets, is one way to prevent or reduce the use of tobacco among adolescents.

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.

Background: Despite the key role of social vulnerability such as economic disadvantage in health outcomes, research is limited on the impact of social vulnerabilities on COVID-19-related deaths, especially at the state and county level in the USA. Methods: We conducted a cross-sectional ecologic analysis of COVID-19 mortality by the county-level Minority Health Social Vulnerability Index (MH SVI) and each of its components in Texas. Negative binomial regression (NBR) analyses were used to estimate the association between the composite MH SVI (and its components) and COVID-19 mortality. Results: A 0.1-unit increase in the overall MH SVI (IRR, 1.27; 95% CI, 1.04–1.55; p = 0.017) was associated with a 27% increase in the COVID-19 mortality rate. Among the MH SVI component measures, only low socioeconomic status (IRR, 1.55; 95% CI, 1.28–1.89; p = 0.001) and higher household composition (e.g., proportion of older population per county) and disability scores (IRR, 1.47; 95% CI, 1.29–1.68; p < 0.001) were positively associated with COVID-19 mortality rates. Conclusions: This study provides further evidence of disparities in COVID-19 mortality by social vulnerability and can inform decisions on the allocation of social resources and services as a strategy for reducing COVID-19 mortality rates and similar pandemics in the future.

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.