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Objective: (1) Identify demographic and academic differences among university students who are food secure or food insecure and (2) explore CalFresh knowledge, attitudes, and practices (KAPs) among university students. Design: A questionnaire, including the 10-item USDA Adult Food Security Survey Module, CalFresh KAPs, and student factors was distributed in Winter 2020 to 10,000 university students. Chi-square test of independence, logistic and linear regressions were used to assess associations between food-secure status and student factors. Exploratory factor analysis determined factors relating to CalFresh KAPs. Kendall’s tau assessed association between CalFresh KAPs factors. Setting: A public research university in California. Participants: Enrolled undergraduate and graduate/professional students (n = 10,000). 1535 responses with 1408 included in analysis for having complete data. Results: Food insecurity was associated with: race/ethnicity (Latino/a, OR = 1.97; p < 0.001); first-generation status (OR = 2.01; p < 0.001); and transfer status (OR = 1.58; p = 0.01). Exploratory factor analysis identified five factors related to CalFresh knowledge and attitudes: (1) CalFresh knowledge, (2) Positive attitudes around participating in CalFresh, (3) Negative attitudes around participating in CalFresh, (4) Negative attitudes around others participating in CalFresh, and (5) Fortunate attitudes for not participating in CalFresh. CalFresh knowledge was correlated with positive attitudes towards CalFresh participation (τb = 0.15, p = 0.025); negative attitudes towards other individuals’ CalFresh participation (τb = −0.28, p < 0.001); feeling fortunate for not needing CalFresh (τb = 0.12, p = 0.004); and CalFresh participation OR = 1.40; p = 0.02). Conclusions: CalFresh knowledge may influence program participation. Populations who are most impacted by food insecurity should be a focus for improving CalFresh knowledge to promote CalFresh participation.

Food insecurity (FI) is associated with many adverse outcomes in college students. The Supplemental Nutrition Assistance Program (SNAP, known as CalFresh in California) has been observed to alleviate FI; however, on college campuses, the benefits of food assistance programs are not well understood. This study investigated whether college students benefit from CalFresh participation. It was hypothesized that students would experience increased FI over time and that CalFresh participation would moderate the effect of FI on grade point average (GPA). A comprehensive FI and CalFresh questionnaires were distributed during the 2020-2021 academic year to 849 students. The chi-square test of independence assessed differences between FI and student factors. A Friedman test assessed differences in FI during the three quarters. Moderation analysis assessed whether CalFresh participation moderated FI's effect on GPA. Differences were observed among food security scores in Winter 2021 (median = 1.69) and Fall 2020 (median = 2.14; p = 0.013) and Spring 2020 (median = 2.17; p = 0.009). In the moderation model, the interaction of FI score and CalFresh participation was positively correlated with GPA (B = 0.11; p = 0.002). These results indicate that SNAP/CalFresh participation was particularly beneficial for mitigating the negative effects of FI on GPA. Given these benefits, encouraging SNAP/CalFresh enrollment should be a priority for university administrators.

Background and Aim: Collecting accurate dietary information in the research setting is challenging due to the inherent biases, duration, and resource-intensive nature of traditional data collection methods. Diet ID™ is a novel, rapid assessment method that uses an image-based algorithm to identify dietary patterns and estimate nutrient intake. The purpose of this analysis was to explore the criterion validity between Diet ID™ and additional measures of dietary intake. Methods: This prospective cohort study (n = 42) collected dietary information using Diet ID™, the Nutrition Data System for Research (NDSR), plasma carotenoid concentrations, and the Veggie Meter® to estimate carotenoid levels in the skin. Results: There were significant correlations between Diet ID™ and NDSR for diet quality, calories, carbohydrates, protein, fiber, and cholesterol. Vitamin A and carotenoid intake were significantly correlated, with the exception of α-carotene and lycopene. Significant correlations were observed for calcium, folate, iron, sodium, potassium, Vitamins B2, B3, B6, C, and E. Skin carotenoid scores and plasma carotenoids were correlated with carotenoid intake from Diet ID™. Conclusions: Diet ID™ may be a useful tool in nutrition research as a less time-intensive and minimally burdensome dietary data collection method for both participants and researchers.

Objective: Food-insecure college students have expressed frustration toward their academic institution for failing to meet students' needs. However, it is unclear whether campus climate perceptions are related to food insecurity status. We examined the association between campus climate surrounding health and food insecurity status among college students. Participants: Participants were undergraduate students (n = 1378) enrolled at a public university. Methods: We used secondary data from the American College Health Association-National College Health Assessment II (ACHA-NCHA-II) with campus-specific measures of campus climate and food insecurity status. Results: Findings showed that students with less favorable views of campus climate were between 1.85 and 1.74 times more likely to be food insecure, even after adjusting for demographics and financial hardship. Conclusions: Future research is needed to better understand how students' campus climate perceptions can inform programs that effectively address food insecurity on college campuses.

To identify relationships between food choice motivators (FCM) and food security in university students, a questionnaire assessing food security and FCM was distributed in Winter 2020 to 10,000 university students (1,535 responses; 1,408 included in demographic analysis, 1,189 included in other analyses). Chi-square test of independence, logistic and linear regressions assessed associations among food security, FCM, and demographics. Exploratory factor analysis (EFA) determined factors of FCM. Kendall's tau assessed association between FCM and food insecurity. EFA identified three factors of FCM: (1) Hedonics, (2) Constraints, and (3) Nutrition Knowledge. Food insecurity was associated with Hedonics, Constraints, and other demographics. [ABSTRACT FROM AUTHOR]