Struggling with the basics: food and housing insecurity among college students across twenty-two colleges and universities.

OBJECTIVES: To quantify the number and type of students failing to secure basic needs. PARTICIPANTS: Students attending 22 postsecondary schools in the United States in Fall 2019. METHODS: The Adult Food Security Module and part of the #RealCollege Survey were used to measure food and housing insecurity, respectively. Logistic and linear regression models were used to assess the relationship between selected factors and basic needs insecurities. RESULTS: Participants (n = 22,153) were classified as 44.1% and 52.3% food insecure and housing insecure, respectively. Homeless students or those who experienced childhood food insecurity were at the greatest odds of college food insecurity. Year in school was the largest contributor to being housing insecure, with PhD or EdD students being 1,157% more likely to experience housing insecurity compared to freshmen. CONCLUSIONS: High prevalence of basic needs insecurities remain. Current campus initiatives may be insufficient, calling for a more holistic approach at the campus, state, and national levels.

College student sleep quality and mental and physical health are associated with food insecurity in a multi-campus study.

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.

Expenditure, Coping, and Academic Behaviors among Food-Insecure College Students at 10 Higher Education Institutes in the Appalachian and Southeastern Regions.

BACKGROUND: 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. OBJECTIVES: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Substantial daily pain among nursing home residents.

OBJECTIVE: To evaluate the prevalence of substantial daily pain among nursing home residents aged 65 and older. DESIGN, SETTING, AND METHODS: The Minimum Data Set (MDS) annual or admission assessment, available September 2002, for Alabama nursing home residents was used. Logistic regression was used to examine the association of such pain with nursing home characteristics as well as resident-specific factors. RESULTS: The analysis is based on 27,628 nursing home residents 65 and older with mean age of 82.8 years; 20% African American; 25% male. Seventeen percent had substantial daily pain. By nursing home, reported substantial daily pain prevalence ranged from 0% to 54.7%. The prevalence of pain was less in smaller nursing homes (P < .001). Bivariate correlations were significant for all sociodemographic and mental status variables; number of medications; dementia; thyroid, musculoskeletal, neurological, pulmonary, and sensory disorders; allergies; anemia; and cancer. Factors independently correlated with substantial daily pain included (odds ratio, 95% confidence interval) sociodemographic characteristics: white race (1.5, 1.3-1.7), female (1.3, 1.2-1.5), married (1.1, 1.0-1.2), admission within year (2.0, 1.8-2.1); nursing home characteristics: nonprofit or government financing (1.3, 1.2-1.5), greater number of residents (1.4, 1.3-1.5); subject-specific conditions: no cognitive impairment (1.6, 1.5-1.7), communication ability (1.4, 1.2-1.5), sad mood/depression (1.5, 1.4-1.6), taking 10 or more medications (2.0, 1.9-2.2), musculoskeletal disease (1.9, 1.7-2.0), anemia (1.1, 1.0-1.2), and cancer (1.6, 1.4-1.8). Lower odds of substantial daily pain were associated with older age, rural locale, dementia, and thyroid, neurological, pulmonary, and sensory disorders. DISCUSSION: This study highlights within-state variation in MDS reporting by nursing home as well as resident-specific factors associated with daily substantial pain. Rural, for-profit, and low-occupancy nursing homes had less documented pain. Communication ability and not having cognitive impairment were important factors in having such pain reported.