Despite the mounting evidence linking loneliness with health, the mechanisms underlying this relationship remain obscure. This systematic review and meta-analysis on the association between loneliness and one potential mechanism—sleep—identified 27 relevant articles. Loneliness correlated with self-reported sleep disturbance ( r = .28, 95% confidence interval (.24, .33)) but not duration, across a diverse set of samples and measures. There was no evidence supporting age or gender as moderators or suggesting publication bias. The longitudinal relationship between loneliness and sleep remains unclear. Loneliness is related to sleep disturbance, but research is necessary to determine directionality, examine the influence of other factors, and speak to causality.

Objectives: To model the relationship between loneliness and sleep disturbance over time. Method: Data came from the Health and Retirement Study (2006, 2010, 2014 waves; age ≥ 65 years; n = 5,067). Loneliness was measured via the Hughes Loneliness Scale and sleep disturbance via a four-item scale assessing sleep and restedness. Cross-lagged panel modeling (path analysis) was used to jointly examine reciprocal effects between loneliness and sleep disturbance. Results: Higher loneliness correlated with higher sleep disturbance at baseline. There was evidence of reciprocal effects between loneliness and sleep across timepoints. These associations overall remained when accounting for demographics, objective isolation, and depression. Discussion: Although causality cannot be established, the findings indicate that the relationship between loneliness and sleep disturbance is bidirectional. This requires revision to the current theory on sleep disturbance as a mechanism for the relationship between loneliness and health and indicates that effective treatment of sleep disturbance may reduce loneliness.

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BackgroundHealth-care professional (HCP) students experience high levels of burnout, characterized by work- and school-related stress. Burnout is associated with a host of negative psychological and health outcomes. It may also contribute to cognitive dysfunction and decreased work productivity and may be related to trait mindfulness. This study cross-sectionally explored psychological distress and its correlates in a sample of interdisciplinary HCP students using cluster analysis.MethodFifty-seven interdisciplinary HCP students completed validated measures of burnout, depressive and anxiety symptoms, perceived stress, and rumination, which were entered into a cluster analysis. A neuropsychological test measured executive function; validated questionnaires assessed work productivity and trait mindfulness. Relationships between cluster membership and classroom productivity, executive function, and trait mindfulness were investigated.ResultsBurnout, depressive symptoms, and perceived stress were reported at high rates in this sample. The cluster analysis yielded 4 clusters, categorized as follows: Healthy, Ruminative Healthy, Moderate Distress, and High Distress. Cluster membership significantly differed based on trait mindfulness and classroom productivity. Trait mindfulness was related to classroom productivity. Although not significant, there were small to medium associations between executive function and both cluster membership and trait mindfulness.DiscussionCluster membership was highly related to trait mindfulness and classroom productivity, suggesting these are important correlates of psychological distress in HCP students. Taken together, these results underscore the need for interventions, especially ones that are mindfulness-based, to manage stress and work-relevant functioning in HCP students.