Inadequate access to healthful foods has been identified as a significant barrier to healthful dietary behaviors among individuals who live in low-income communities. The purpose of this study was to gather low-income community members’ opinions about their food purchasing choices and their perceptions of the most effective ways to increase access to healthful foods in their communities.

The purpose of this study was to preliminarily develop novel self-administered measures to assess nutrition security and choice in dietary characteristics. Measures were piloted in a convenience sample of households at risk for food insecurity in the United States. The survey included the new measures, construct validation variables (household food security, self-reported general health, and dietary variables), and demographic questions. Exploratory factor analysis was used to assess dimensionality, internal (Cronbach's alpha (CA)), and construct validity were assessed (Spearman's correlation). Multivariate logistic regression models were used to assess added utility of the new measures beyond food security measurement. Finally, brief screener versions of the full measures were created. Participants in the analytic sample (n = 380) averaged 45 years old, 71% experiencing food insecurity, 42% with high school diploma or less, 78% were women, and racially/ethnically diverse. Scores for the Household Nutrition Security (CA = 0.85; Mean = 2.58 (SD = 0.87)), Household Healthfulness Choice (CA = 0.79; Mean = 2.47 (SD = 0.96)), and Household Dietary Choice (CA = 0.80; Mean = 2.57 (SD = 0.90)) were positively associated with food security (0.401-0.657), general health (0.194-0.290), fruit and vegetable intake frequency (0.240-0.280), and "scratch-cooked" meal intake (0.328-0.350), and negatively associated with "processed" meal intake (-0.162 to -0.234) and an external locus of nutrition control (-0.343 to -0.366). Further, findings show that the new measures are useful for assessing risk for poor dietary and health outcomes even after controlling for household food security status and sample characteristics. These findings are encouraging and support reliability, construct validity, and utility of these new measures. Following further testing, such as Confirmatory Factor Analysis in future samples, these measures may be used in various applications to contribute to a better understanding of households' limitations for accessing healthful foods and foods that meet their preferences.

High food insecurity has been demonstrated in rural American Indian households, but little is known about American Indian families in urban settings or the association of food insecurity with diet for these families. The purpose of this study was to examine the prevalence of food insecurity in American Indian households by urban-rural status, correlates of food insecurity in these households, and the relationship between food insecurity and diet in these households. Dyads consisting of an adult caregiver and a child (2–5 years old) from the same household in five urban and rural American Indian communities were included. Demographic information was collected, and food insecurity was assessed using two validated items from the USDA Household Food Security Survey. Factors associated with food insecurity were examined using logistic regression. Child and adult diets were assessed using food screeners. Coping strategies were assessed through focus group discussions. These cross-sectional baseline data were collected from 2/2013 through 4/2015 for the Healthy Children, Strong Families 2 randomized controlled trial of a healthy lifestyles intervention for American Indian families. A high prevalence of food insecurity was determined (61%) and was associated with American Indian ethnicity, lower educational level, single adult households, WIC participation, and urban settings (p = 0.05). Food insecure adults had significantly lower intake of vegetables (p < 0.05) and higher intakes of fruit juice (<0.001), other sugar-sweetened beverages (p < 0.05), and fried potatoes (p < 0.001) than food secure adults. Food insecure children had significantly higher intakes of fried potatoes (p < 0.05), soda (p = 0.01), and sports drinks (p < 0.05). Focus group participants indicated different strategies were used by urban and rural households to address food insecurity. The prevalence of food insecurity in American Indian households in our sample is extremely high, and geographic designation may be an important contributing factor. Moreover, food insecurity had a significant negative influence on dietary intake for families. Understanding strategies employed by households may help inform future interventions to address food insecurity. ( NCT01776255 ). Registered: January 16, 2013. Date of enrollment: February 6, 2013.

Background: Emotional eating, the tendency to overeat in response to negative emotions, has been linked to weight gain. However, scant evidence exists examining the prevalence and correlates of emotional eating among large samples of adults in the United States (U.S.). Hence, we examine the relationship among individual and socioeconomic factors, health behaviors, and self-regulation with emotional eating patterns among U.S. adults. Methods: Cross-sectional analysis of 5863 Family Health Habits Survey participants. Multivariable, ordered, logistic regression was employed to examine the relationship between the frequency of the desire to eat when emotionally upset (never, rarely, sometimes, often, and very often) and the independent variables. Results: Analysis reveals that 20.5% of the sample tended to emotionally eat often or very often. Being female, non-Hispanic White, and of younger age were all related to a higher likelihood of emotional eating. Additionally, inability to delay gratification (impatience) was related to an 18% increased likelihood (95% confidence interval (CI) 1.05–1.33) for emotional eating. Finally, emotional eating was significantly related to more frequent fast-food consumption. Conclusions: Program planners might need to develop targeted interventions aimed at enhancing emotional regulation skills while addressing these less healthful behaviors (e.g., fast-food intake) with the goal of obesity and chronic disease prevention.

Background: The COVID-19 pandemic has triggered stress, anxiety, and disruption to many individuals’ daily lives, which might impact eating habits. Objective: To examine changes in eating habits related to less healthy foods and beverages during the early phase of the COVID-19 pandemic among US adults. Design: Cross-sectional study. Participants/setting: Authors used SummerStyles data gathered in June 2020 among 3916 US adults (≥18 years). Main outcome measures: The outcome of interest was the reported frequency of consuming more (1) unhealthy snacks and desserts including chips, cookies, and ice cream and (2) sugar-sweetened beverages (SSBs) like regular soda, fruit drinks, sports/energy drinks, sweetened coffee/teas during the COVID-19 pandemic. Responses were categorized as Never/Rarely, Sometimes, or Often/Always. Explanatory variables were sociodemographics, weight status, and census regions. Statistical analyses performed: We used multinomial regressions to calculate adjusted odds ratios (AOR) for Sometimes or Often/Always consuming more unhealthy snacks/desserts (vs. Never/Rarely); and Sometimes or Often/Always more SSBs (vs. Never/Rarely). Results: Overall, 36% of adults reported sometimes consuming more unhealthy snacks/desserts; 16% did so often/always. Twenty-two percent of adults reported sometimes drinking more SSBs; 10% did so often/always. Factors significantly associated with higher odds of reporting often/always consuming more unhealthy snacks/desserts were younger adults (AOR range = 1.51–2.86 vs. adults ≥65 years), females (AOR = 1.58 vs. males), non-Hispanic Black (AOR = 1.89 vs. non-Hispanic White), lower household income (AOR = 2.01 for <USD 35,000 vs. ≥USD 100,000), and obesity (AOR = 1.56 vs. underweight/healthy weight). Factors significantly associated with odds of Often/Always drinking more SSBs were being younger (AOR range = 2.26–4.39 vs. adults ≥65 years), non-Hispanic Black (AOR = 3.25 vs. non-Hispanic White), Hispanic (AOR = 1.75 vs. non-Hispanic White), non-Hispanic Other race/ethnicity (AOR = 2.41 vs. non-Hispanic White), lower education (AOR = 2.03 for ≤high school; AOR = 1.80 for some college vs. college graduate), lower household income (AOR range = 1.64–3.15 vs. ≥USD 100,000), and obesity (AOR = 1.61 vs. underweight/healthy weight). Conclusions: Consuming more sugary foods and SSBs during the first phase of the pandemic was higher in younger adults, lower-income adults, people of racial/ethnic minority groups, and adults with obesity. Dietary shifts to less healthy foods and drinks may influence metabolic health if sustained long-term. Implementing strategies to support individual’s healthy eating habits during the ongoing pandemic and the pandemic recovery may benefit health and wellness.