A later school start time policy has been recommended as a solution to adolescents' sleep deprivation. We estimated the impacts of later school start times on adolescents' sleep and substance use by leveraging a quasi-experiment in which school start time was delayed in some regions in South Korea. A later school start time policy was implemented…

Objective: Electronic cigarette use represents an important college health concern. This investigation assessed demographic and behavioral correlates associated with actual and perceived e-cigarette use among a national sample of American college students. Methods: Respondents (n = 19,861) comprised college students from over 40 distinct American…

Objective: To evaluate the association between health behaviors with mental health among tertiary education students. Methods: Six databases were searched until September 2021 for prospective cohort studies evaluating the association between health behavior(s) (dietary intake, physical activity, sedentary behavior, alcohol intake, sleep, smoking…

Objective: Estimate the association between single (i.e., exclusive) use of a range of substances and sleep outcomes. Participants College students participated in the 2015-2019 American College-Health Association-National College-Health Assessment survey. Methods: Multivariable logistic and linear regressions were used. Results: Single users of…

Objective: Assess the prevalence, perceptions, sociodemographic/personal factors that influence Juul use among incoming freshmen. Participants: Incoming undergraduate students (N = 1,706) attending a public university in the southeastern U.S. Methods: Cross-sectional survey administered August 2018. Bivariate relationships assessed using…

We investigate the mechanisms by which a student's age relative to classmates (i.e., relative age) influences risky health behaviors among European adolescents. Using a two-stage least squares approach, we show that relatively young students are more prone to engage in risky behaviors. These results hold after controlling for absolute age, country…

Objective: The current study utilized a longitudinal person-centered approach (latent transition analysis [LTA]) to assess transitions into and out of risk-behavior profiles during the transition into and throughout the first year of college. Participants: Participants included 579 first-year college students (Mage = 18.13, SD = 0.94) from a large…

Objective: To examine the association between vaping and health behaviors (physical activity, fruit and vegetable consumption, sleep, cigarette use, alcohol consumption) and mental health among college students. Methods: Socio-demographic characteristics, vaping, health behaviors, perceived stress, and depressive symptoms of undergraduates…

Health misinformation is a problem on social media, and more understanding is needed about how users cognitively process it. In this study, participants' accuracy in determining whether 60 health claims were true (e.g., "Vaccines prevent disease outbreaks") or false (e.g., "Vaccines cause disease outbreaks") was assessed. The…

Objective: To investigate the impact of generalized joint hypermobility (GJH) on eating behavior. Participants: Physical therapy and rehabilitation students. Methods: The Beighton evaluation (a cutoff of 5/9) for defining GJH. The Eating Attitudes Test (EAT-40) was used for eating disorders. Smoking habits and alcohol use were also questioned.…

University students often experience significant changes to their environment and lifestyles which can present unique risk factors for health and wellbeing. This may particularly be the case for sexual minority students, given they are a group that suffer health disparities within the general population. Therefore, we sought to compare sexual…

Objective: Test the hypothesis that smoking, fast-food consumption, and binge drinking were negatively associated with academic performance in Canadian undergraduate students. Participants: Undergraduate students across Canada [n = 411 (335[female gender symbol]) aged: 22 ± 4 years] completed a questionnaire regarding their lifestyle behaviors and…

The study examined the relationship between perfectionism (categorized by adaptive, maladaptive, and non-perfectionist clusters), substance use (i.e., drinking and smoking), and mental health in a large sample of college student (N = 841; M = 19.6 years of age) in a time-lagged design. Students were classified using a two-step cluster analysis…

No studies have examined vocational education students' intention to change multiple health risk behaviors and whether baseline characteristics predict behavior change. Participants: Participants were vocational education students in New South Wales, Australia. Methods: Students in the no-intervention control arm of a cluster randomized controlled…

Lifestyle risk behaviours--physical inactivity, poor diet, poor sleep, recreational screen time, and alcohol and tobacco use--collectively known as the "Big 6" emerge during adolescence and significantly contribute to chronic disease development into adulthood. To address this issue, the Health4Life program targeted the Big 6 risk…