College students may be vulnerable to food insecurity due to limited financial resources, decreased buying power of federal aid, and rising costs of tuition, housing, and food. This study assessed the prevalence of food insecurity and its sociodemographic, health, academic, and food pantry correlates among first-year college students in the United States. A cross-sectional study was conducted among first-year students (n = 855) across eight U.S. universities. Food security status was assessed using the U.S. Department of Agriculture Adult Food Security Survey Module. Cohen’s Perceived Stress Scale, Pittsburgh Sleep Quality Index, and Eating Attitudes Test-26 were used to assess perceived stress, sleep quality, and disordered eating behaviors, respectively. Participants self-reported their grade point average (GPA) and completed questions related to meal plan enrollment and utilization of on-campus food pantries. Of participating students, 19% were food-insecure, and an additional 25.3% were at risk of food insecurity. Students who identified as a racial minority, lived off-campus, received a Pell grant, reported a parental education of high school or less, and did not participate in a meal plan were more likely to be food-insecure. Multivariate logistic regression models adjusted for sociodemographic characteristics and meal plan enrollment indicated that food-insecure students had significantly higher odds of poor sleep quality (OR = 2.32, 95% CI: 1.43–3.76), high stress (OR = 4.65, 95% CI: 2.66–8.11), disordered eating behaviors (OR = 2.49, 95% CI: 1.20–4.90), and a GPA < 3.0 (OR = 1.91, 95% CI: 1.19–3.07) compared to food-secure students. Finally, while half of the students (56.4%) with an on-campus pantry were aware of its existence, only 22.2% of food-insecure students endorsed utilizing the pantry for food acquisition. Food insecurity among first-year college students is highly prevalent and has implications for academic performance and health outcomes. Higher education institutions should screen for food insecurity and implement policy and programmatic initiatives to promote a healthier college experience. Campus food pantries may be useful as short-term relief; however, its limited use by students suggest the need for additional solutions with a rights-based approach to food insecurity. Retrospectively registered on ClinicalTrials.gov , NCT02941497.

Objectives: The primary objective of this study was to characterize the prevalence of overweight/obesity, metabolic syndrome (MbS) and its criteria, and nutrient intakes of college-age men and women via a large-scale screening. Participants and Methods: From August 2005 to July 2008, 2,722 subjects were recruited for the ongoing, cross-sectional Young Adult Health Risk Screening Initiative project. Anthropometric, biochemical, clinical, and dietary data were collected. Results: Approximately one-half of men and more than one-quarter of women were overweight or obese. MbS was identified in 9.9% of men and 3.0% of women; 77% of men and 54% of women had at least 1 MbS criterion. Intakes of saturated fat, magnesium, and fiber, as well as body mass index and reported physical activity levels were related to MbS. Conclusions: Because of high rates of overweight/obesity and MbS, college-age adults are at risk for developing chronic diseases including diabetes mellitus and cardiovascular disease

Because diet quality (DQ) is associated with risk of chronic disease and is a common construct assessed in health-related research, validated tools to assess DQ are needed that have low respondent and researcher burden. Thus, content experts develop the Short Healthy Eating Index (sHEI) tool and an associated scoring system. The sHEI scoring system was then refined using a classification and regression tree (CRT) algorithm methodology with an iterative feedback process with expert review and input. The sHEI scoring system was then validated using a concurrent criterion validation process that included the sHEI DQ scores (calculated from responses from 50 participants) being compared to the participants’ Healthy Eating Index scores derived from 24 h recalls. The total HEI score from the CRT algorithm highly correlated with the 24 h recall HEI score (0.79). For individual food group items, the correlation between the CRT algorithm scoring and the 24 h recall data scoring ranged from 0.44 for refined grains to 0.64 for whole fruits. The sHEI appears to be a valid tool for estimating overall dietary quality and individual items (with correlations > 0.49) for fruits, vegetables, dairy, added sugar, sugar from sugar-sweetened beverages, and calcium.

Background: The purpose of this cross-sectional study was to examine the impact of below-average cardiovascular fitness and inactivity on the metabolic syndrome among an understudied population—undergraduate men and women, ages 18–24 years. Methods: Between January, 2010, and May, 2012, we assessed anthropometric, biochemical, and clinical measures in a convenience sample of students (n=1610) enrolled in an introductory nutrition course at a public university. We quantified the prevalence of metabolic syndrome criteria, estimated cardiovascular fitness via a 1-mile Rockport Walk Test, and evaluated daily activity via pedometer. Subjects were classified as below-average, average, and above-average fitness based upon the Rockport Walk Test; activity levels were classified as low active, somewhat active, active, or highly active according to average steps per day. Results: Those with below-average fitness (10%) were at increased risk for being overfat, having abdominal obesity, and having the metabolic syndrome as compared to those with average or above-average fitness (odds ratio: 12.4, 10.0, and 4.7, respectively; all P<0.01). Twenty percent of subjects were low active (12,500 steps/day) (0.94±0.05 vs. 0.73±0.05, P=0.01). Conclusions: Young, college-age adults with below-average cardiovascular fitness and/or low activity levels are at increased risk for obesity and the metabolic syndrome. Future studies should examine how promoting lifestyle habits that increase physical activity and reduce sedentary behaviors during the young adult years can improve metabolic health.

Background: Research suggests sleep duration can influence metabolic systems including glucose homeostasis, blood pressure, hormone regulation, nervous system activity, and total energy expenditure (TEE), all of which are related to cardiometabolic disease risk, even in young adults. The purpose of this study was to examine the relationship between sleep duration and metabolic syndrome severity scores (MSSS) in a sample of emerging adults (18–24 y/o). Methods: Data were collected between 2012 and 2021 from the College Health and Nutrition Assessment Survey, an ongoing, cross-sectional study conducted at a midsized northeastern university. Anthropometric, biochemical, and clinical measures were obtained following an overnight fast and used to assess the prevalence of metabolic syndrome (MetS). MetS severity scores (MSSS) were calculated using race- and sex-specific formulas. Sleep duration was calculated from the difference in self-reported bedtime and wake time acquired through an online survey. ANCOVA was used to examine the relationship between sleep duration and MetS severity score while adjusting for covariates (age, sex, BMI, physical activity level, smoking status, alcohol consumption, and academic major). Results: In the final sample (n = 3816), MetS (≥3 criteria) was present in 3.3% of students, while 15.4% of students presented with ≥2 MetS criteria. Mean MSSS was −0.65 ± 0.56, and the reported sleep duration was 8.2 ± 1.3 h/day. MSSS was higher among low sleepers (9 h/day) compared to the reference sleepers (7–8 h/day) (−0.61 ± 0.02 and −0.63 ± 0.01 vs. −0.7 ± 0.02, respectively, p < 0.01). Conclusions: Our findings suggest short (9 h/day) sleep durations raise the risk of MetS in a sample of emerging adults. Further research is needed to elucidate the impact of improving sleep habits on future disease risk.