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 10-item Adult Food Security Survey Module. Sleep was measured using the 19-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 22 participating universities.
Results:
Compared to food secure students, those classified as food insecure (43.4%) had higher PSQI scores indicating poorer sleep quality (p<.0001) and reported more days with poor mental (p<.0001) and physical (p<.0001) health as well as days when mental and physical health prevented them from completing daily activities (p<.0001). Food insecure students had higher adjusted odds of having poor sleep quality (adjusted odds ratio [AOR]:1.13, 95% confidence interval [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 programs are needed to prevent food insecurity and improve student health-related outcomes.
Additional research is needed to fully understand parent and child motivations for packing lunches and the decision processes that influence the inclusion of food items. The development of packed lunch interventions, encouragement of National School Lunch Program participation, or enactment of school policies to increase the nutritional value of packed lunches is warranted.
The purpose of this study was to explore the sociodemographic factors that contribute to food affordability across space, with specific emphasis on rural and urban differences in the United States. A regression analysis was used to predict food affordability from several predictors in rural and urban areas, with a subanalysis of Appalachian and Delta counties. Rural households had significantly higher food expenditures to income ratios compared with urban counties; Appalachian and Delta counties had the highest on average food expenditure to income ratio. Affordable food buffers vulnerable families against food insecurity and subsequent chronic health issues, which are especially relevant in the Appalachian and Delta counties.
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