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Approximately 60% of college students report sleep disturbances. Sleep disturbances, such as insomnia, negatively influence physical energy, cognitive resources, and affective states that might inhibit executive functioning. To better delineate the variables that alter the college student insomnia and executive functioning relationship we examined sleepiness, sleep debt, and attention-deficit/hyperactivity disorder (ADHD) symptomatology. We expected insomnia to predict executive dysfunction, with a stronger relationship observed at higher levels of the focal moderator (i.e., sleepiness, sleep debt, or ADHD symptoms). Undergraduate participants (n ϭ 472) completed a cross-sectional survey assessing insomnia, state sleepiness, sleep debt, ADHD symptomatology (inattention, hyperactivity, and impulsivity), and executive dysfunction. Hierarchical linear regressions showed that poor sleep had a negative influence on executive function when college students also had high levels of impulsivity, state sleepiness, or sleep debt. These results partially support our expectations and further the academic sleep-related literature while providing insight for counselors, academic advisors, or other professionals working with college student populations. What is the significance of this article for the general public?This research reports that poor sleep harms college students' adaptive executive functioning. Moreover, the negative influence of poor sleep on executive function is stronger when college students are highly impulsive, experience high daytime sleepiness levels, or have more sleep debt. We discuss these findings' implications for theory, as well as their practical application.

The COVID‐19 pandemic resulted in unprecedented disruption to everyday life, including widespread social distancing and self‐quarantining aimed at reducing the virus spread. The Mental Health Checklist (MHCL) is a measure developed to assess psychological health during extended periods of isolation and confinement, and has shown strong psychometric properties in community samples and during Antarctic missions. This study validated the MHCL in a sample of 359 U.S. and U.K adults during the peak of the COVID‐19 lockdown. Confirmatory factor analysis (CFA) tested model fit, and convergent validity analyses were conducted to compare the MHCL with validated measures of depression, anxiety and stress, as well as insomnia. The MHCL exhibited good model fit for most CFA indices, and showed strong convergent validity with other measures of psychological well‐being. Findings suggest that the MHCL is useful for assessing mental health in a variety of environments and conditions.

Sleep patterns affect children's socioemotional functioning in ways that may predict long-term social problems. However, precise mechanisms through which these effects occur remain unexplored and thus unknown. Building on findings in adults, the current study examined whether changes in children's facial expressions of emotion after sleep restriction predict social problems concurrently and/or longitudinally. At time 1, 37 children (mean = 9.08 years, SD = 1.3) completed in-lab emotional assessments both when rested and after two nights of sleep restriction. Participants' parents provided reports of their child's social problems at time 1 and approximately 2 years later (time 2; mean = 11.26 years, SD = 1.6). Children who exhibited less positive facial expressions in response to positive images after sleep restriction evidenced greater social problems longitudinally, even when controlling for earlier social problems. Results suggest that inadequate sleep may undermine children's social functioning via alterations in emotional expression which may become more salient with age.

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