A number of studies have measured college student food insecurity prevalence higher than the national average; however, no multicampus regional study among students at 4-y institutions has been undertaken in the Appalachian and Southeast regions of the United States. The aims of this study were to determine the prevalence of food insecurity among college students in the Appalachian and Southeastern regions of the United States, and to determine the association between food-insecurity status and money expenditures, coping strategies, and academic performance among a regional sample of college students. This regional, cross-sectional, online survey study included 13,642 college students at 10 public universities. Food-insecurity status was measured through the use of the USDA Adult Food Security Survey. The outcomes were associations between food insecurity and behaviors determined with the use of the money expenditure scale (MES), the coping strategy scale (CSS), and the academic progress scale (APS). A forward-selection logistic regression model was used with all variables significant from individual Pearson chi-square and Wilcoxon analyses. The significance criterion α for all tests was 0.05. The prevalence of food insecurity at the universities ranged from 22.4% to 51.8% with an average prevalence of 30.5% for the full sample. From the forward-selection logistic regression model, MES (OR: 1.47; 95% CI: 1.40, 1.55), CSS (OR: 1.19; 95% CI: 1.18, 1.21), and APS (OR: 0.95; 95% CI: 0.91, 0.99) scores remained significant predictors of food insecurity. Grade point average, academic year, health, race/ethnicity, financial aid, cooking frequency, and health insurance also remained significant predictors of food security status. Food insecurity prevalence was higher than the national average. Food-insecure college students were more likely to display high money expenditures and exhibit coping behaviors, and to have poor academic performance.

Objective: To assess the relationship between food insecurity, sleep quality, and days with mental and physical health issues among college students.Design: An online survey was administered. Food insecurity was assessed using the ten-item Adult Food Security Survey Module. Sleep was measured using the nineteen-item Pittsburgh Sleep Quality Index (PSQI). Mental health and physical health were measured using three items from the Healthy Days Core Module. Multivariate logistic regression was conducted to assess the relationship between food insecurity, sleep quality, and days with poor mental and physical health.Setting: Twenty-two higher education institutions.Participants: College students (n 17 686) enrolled at one of twenty-two participating universities.Results: Compared with food-secure students, those classified as food insecure (43·4 %) had higher PSQI scores indicating poorer sleep quality (P < 0·0001) and reported more days with poor mental (P < 0·0001) and physical (P < 0·0001) health as well as days when mental and physical health prevented them from completing daily activities (P < 0·0001). Food-insecure students had higher adjusted odds of having poor sleep quality (adjusted OR (AOR): 1·13; 95 % CI 1·12, 1·14), days with poor physical health (AOR: 1·01; 95 % CI 1·01, 1·02), days with poor mental health (AOR: 1·03; 95 % CI 1·02, 1·03) and days when poor mental or physical health prevented them from completing daily activities (AOR: 1·03; 95 % CI 1·02, 1·04).Conclusions: College students report high food insecurity which is associated with poor mental and physical health, and sleep quality. Multi-level policy changes and campus wellness programmes are needed to prevent food insecurity and improve student health-related outcomes.

Background: There is increasing evidence of problematic rates of food insecurity among college students, yet few studies have gone beyond this to examine housing insecurity rates or rates of basic need insecurity (BNI), which is defined as having both food and housing insecurity, among the postsecondary population. BNI may have significant impacts on the mental and social health, and academic outcomes of college students, yet remains understudied. The researchers of this study are among the first to assess the prevalence of food insecurity, housing insecurity, and basic needs insecurity among college students enrolled at a large, public university in the Southeast and to identify factors associated with experiencing food, housing, and basic needs insecurity. Methods: A cross-sectional online survey was conducted at a large, public university in the Southeast United States. All eligible, enrolled students (n = 23,444) were asked to complete an online survey, 2634 responded (11.2% response rate). Multivariate logistic regression models were used to assess relationships between demographic and financial factors and the outcomes of interest (food, housing, and basic needs insecurity). Results: High rates of food insecurity (48.5%), housing insecurity (66.1%), and basic needs insecurity (37.1%) were identified. After controlling for confounders, factors that were significantly associated with increased odds of students having basic needs insecurity included previous food insecurity (p < 0.001; Odds Ratio (OR) = 3.36; Confidence Interval (CI) = 2.64–4.28), being employed (p < 0.001, OR = 1.70; CI = 1.34–2.17), not receiving family financial support (p < 0.001, OR = 1.61; CI = 1.30–2.00), and living off-campus (p < 0.001, OR = 1.67; CI = 1.25–2.22). Juniors (p < 0.001, OR = 1.78; CI = 1.31–2.42), seniors (p < 0.001, OR = 2.06; CI = 1.52–2.78), Masters (p = 0.004, OR = 1.68; CI = 1.18–2.40), and PhD or EdD (p = 0.029, OR = 1.55; CI = 1.05–2.31) students were significantly more likely to experience basic needs insecurity than sophomore students. Conclusions: This research identifies high rates of food, housing, and basic needs insecurity among college students enrolled at a large, public university. Financial factors such as being food insecure prior to attending college, working during college, and not having familial financial support were all related to BNI in this sample. Students who were more advanced in their education experienced more BNI than less advanced students. Innovative interventions with enhanced BNI measures, for example, partnering with financial aid offices to screen and refer students to food resources, are likely needed to address this multi-faceted problem.

The purpose of this convergent, multiphase, mixed methods study was to better understand the perceptions of adolescents’ food environments and related food behaviors using grounded visualization and story mapping. Adolescents from one high school (13–16 years) in the southeastern United States were evaluated via data from health behavior surveys (n = 75), school environment maps, focus groups (n = 5 groups), and Photovoice (n = 6) from October 2016 to April 2017. Data from each phase were integrated using grounded visualization and new themes were identified (n = 7). A story map using ArcGIS Online was developed from data integration, depicting the newly identified themes. Participants failed to meet national recommendations for fruit and vegetable intake (2.71 cups). Focus group and Photovoice findings indicated the need for convenience food items in all environments. The story map is an online, interactive dissemination of information, with five maps, embedded quotes from focus groups, narrative passages with data interpretation, pictures to highlight themes, and a comparison of the participants’ food environments. Story mapping and qualitative geographic information systems (GIS) approaches may be useful when depicting adolescent food environments and related food behaviors. Further research is needed when evaluating story maps and how individuals can be trained to create their own maps.