Abstract Background: Insufficient sleep is widespread among adolescents and has consequences that extend far beyond hampering day-to-day functioning. It may influence eating and physical activity p...

Introduction: Short sleep duration is exceedingly common among adolescents and has implications for healthy youth development. We sought to document associations between adolescents’ sleep duration and characteristics of their schedules, behaviors, and wellbeing. Methods: We used data from the baseline wave (9th grade year) of the START study, a cohort of 2134 students in five Minnesota high schools to assess how self-reported sleep duration was associated with the prevalence of time-use characteristics (i.e. activity schedules, screen use), sleep-wake problems (i.e. trouble waking in the morning, falling asleep in class, etc.), and risk of depression. Results: Shorter sleep duration was associated with various behaviors including greater computer/screen time and screen use after bed, a lower probability of doing homework, participation in sports doing chores on school nights, and reporting that it takes at least 20 min to fall asleep on school days (p < 0.05). Suboptimal sleep duration was also associated with a higher probability of all reported sleep-wake problems as well as higher risk of depressive symptoms (p < 0.05). Conclusions: Given that getting an optimal amount of sleep can protect youth from risk and promote healthy youth development, it is critical that we gain a greater understanding of correlates and consequences of short sleep duration in order to develop a sleep-friendly culture for youth.

Objective: Given the growing concern about research reproducibility, we conceptually replicated a previous analysis of the relationships between adolescent sleep and mental well-being using a new dataset. Methods: We conceptually reproduced an earlier analysis (Sleep Health, June 2017) using baseline data from the START Study. START is a longitudinal research study designed to evaluate a natural experiment in delaying high school start times, examining the impact of sleep duration on weight change in adolescents. In both START and the previous study, school day bedtime, wake-up time, and answers to a 6-item depression subscale were self-reported using a survey administered during the school day. Logistic regression models were used to compute the association and 95% confidence intervals between the sleep variables (sleep duration, wake-up time, and bedtime) and a range of outcomes. Results: In both analyses, greater sleep duration was associated with lower odds (P <.0001) of all 6 indicators of depressive mood. Five of the 6 sleep duration point estimates from the START Study and 4 of the 6 wake-up time point estimates fell within the 95% confidence intervals from the previous analysis. However, the associations between wake-up time and outcomes differed between the 2 studies' analyses. Conclusion: Our findings add strength to the evidence supporting an association between short sleep duration and depression. This issue deserves attention from school districts given the current epidemic of short sleep duration among youth and the potential impact school scheduling can have on teen sleep.

Introduction: Concerns about the adverse effects of smoking cessation on alcohol use and mental health are a barrier to cessation for smokers with serious mental illness (SMI). The purpose of this study is to examine how incident smoking cessation affects binge drinking and symptoms of depression and anxiety among smokers with SMI. Methods: The present study is a secondary analysis of the OPTIN trial, which demonstrated the effectiveness of proactive outreach for smoking cessation among Minnesota Health Care Programs enrollees. Participants with ICD-9 codes indicating schizophrenia spectrum disorders, psychotic disorders, bipolar disorders, or severe/recurrent major depressive disorder were categorized as having SMI (n = 939); remaining smokers were categorized as non-SMI (n = 1382). Multivariable regressions modeled the association between incident smoking cessation and binge drinking, PHQ-2 depression scores, and PROMIS anxiety scores in the two groups. Results: Quitting smoking was not associated with binge drinking among those with SMI, but was associated with less binge drinking among those without SMI (p = 0.033). Quitting smoking was not associated with PHQ-2 depression scores among those with or without SMI. However, quitting smoking was associated with lower mean PROMIS anxiety scores for those with SMI (p = 0.031), but not those without SMI. Conclusion: Quitting smoking was not associated with heightened binge drinking or symptoms of depression and anxiety among smokers with SMI. These findings suggest that quitting smoking is not detrimental for these patients, and provide evidential support for facilitating access to cessation resources for patients with serious mental illness who smoke.

PURPOSE The aims of this analysis were to explore how self-reported barriers to quitting vary by socioeconomic status (SES) among young-adult smokers and to assess their relationship to quitting. DESIGN This analysis uses 2 waves of telephone-survey data from the Minnesota Adolescent Community Cohort study. SETTING Midwestern United States. PARTICIPANTS Participants (n = 419) were smokers aged 17 to 24 years. MEASURES Socioeconomic status was estimated using the highest level of education completed by the participants' parents. Demographics, smoking behavior, and perceived barriers to quitting were collected via survey questions. ANALYSIS Differences in barriers by SES were assessed using prevalence ratios (PRs). Relative risks were calculated to assess the association between barriers and quitting status 1 year later, testing for effect modification by SES. RESULTS Compared to the high SES group (n = 314), the low SES group (n = 105) was more likely to report several barriers to quitting; however, only the risk of gaining weight was significantly more common (PR: 1.38 [1.05-1.83]). There were no significant associations between barriers and quitting status 1 year later, but the number of cigarettes per day was consistently related to the likelihood of quitting 1 year later, regardless of SES. CONCLUSION Despite the limited generalizability to racially diverse populations and different geographic locations, the results suggest perceived barriers may not differ by SES or predict quitting among young adults; however, nicotine dependence may play an important role.

Background Smoke‐free legislation has been associated with reductions in secondhand smoke exposure and cardiovascular disease. However, it remains unknown whether smoke‐free policies are associated...