To assess the relationship between food insecurity, sleep quality, and days with mental and physical health issues among college students.

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.

Twenty-two higher education institutions.

College students (n 17 686) enrolled at one of twenty-two participating universities.

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).

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.

To estimate the prevalence of high, marginal, low and very low food security among a sample of college students and identify characteristics associated with the four different food security status levels and note differences in associations from when food security status is classified as food-secure v. food-insecure.

Cross-sectional online survey.

A large public university in North Carolina.

4829 college students who completed an online survey in October and November 2016.

Among study participants, 56·2 % experienced high, 21·6 % experienced marginal, 18·8 % experienced low and 3·4 % experienced very low food security. Characteristics significantly associated with food security status when using the four-level variable but not two-level variable were age, international student status and weight status. Characteristics that significantly differed between the marginal and high food security groups included age, race/ethnicity, year in school, international student status, employment status, financial aid receipt, perceived health rating, cooking frequency and participation in an on-campus meal plan. Characteristics with differences in significant associations between the low and very low food security groups were gender, international student status, having a car, weight status and participation in an on-campus meal plan. Even where similarities in the direction of association were seen, there were often differences in magnitude.

We found differences in characteristics associated with food security status when using the four-level v. two-level food security status variable. Future studies should look separately at the four levels, or at least consider separating the marginal and high food-secure groups.

Maintaining good cognitive function with aging may be aided by technology such as computers, tablets, and their applications. Little research so far has investigated whether internet use helps to maintain cognitive function over time.

Two population-based studies with a longitudinal design from 2001/2003 (T1) to 2007/2010 (T2).

Sweden and the Netherlands.

Older adults aged 66 years and above from the Swedish National Study on Ageing and Care (N = 2,564) and from the Longitudinal Aging Study Amsterdam (N = 683).

Internet use was self-reported. Using the scores from the Mini-Mental State Examination (MMSE) from T1 and T2, both a difference score and a significant change index was calculated. Linear and logistic regression analysis were performed with difference score and significant change index, respectively, as the dependent variable and internet use as the independent variable, and adjusted for sex, education, age, living situation, and functional limitations. Using a meta-analytic approach, summary coefficients were calculated across both studies.

Internet use at baseline was 26.4% in Sweden and 13.3% in the Netherlands. Significant cognitive decline over six years amounted to 9.2% in Sweden and 17.0% in the Netherlands. Considering the difference score, the summary linear regression coefficient for internet use was −0.32 (95% CI: −0.62, −0.02). Considering the significant change index, the summary odds ratio for internet use was 0.54 (95% CI: 0.37, 0.78).

The results suggest that internet use might play a role in maintaining cognitive functioning. Further research into the specific activities that older adults are doing on the internet may shine light on this issue.