A longitudinal view of rumination, poor sleep and psychological distress in adolescents.

BACKGROUND: Given the high prevalence and negative impact of psychological problems during adolescence, examining transdiagnostic factors that may have scope to positively influence a variety of psychological problems is imperative. The main purpose of this study was to investigate the longitudinal relationship between rumination and psychological distress and whether sleep mediated this relationship over a 2 year period. METHODS: Participants were 1620 high school students in the 7th and 8th grade at baseline from 17 public schools in three middle Sweden communities. Students completed questionnaires at school during the spring of 2014, 2015 and 2016. Rumination and psychological distress were self-reported, and sleep duration was calculated from reported bed-times, wake-times and sleep onset latencies. RESULTS: Sleep duration declined with age, whereas rumination and psychological distress increased. Rumination was predictive of future psychological distress and distress at a given time was predictive of concurrent rumination. Sleep duration did not consistently mediate the reciprocal relationships between rumination and psychological distress over time. LIMITATIONS: Stronger longitudinal associations may have been obtained by using smaller measurement intervals or further delineation of outcome constructs. CONCLUSIONS: Reducing rumination, rather than targeting sleep patterns, may work towards preventing the development of a number of psychological problems and is a strategy anticipated to function across disorders to improve young people's mental wellbeing.

Longitudinal associations between time spent using technology and sleep duration among adolescents.

Technology use has been the focus of much concern for adolescents' sleep health. However, few studies have investigated the bidirectional association between sleep duration and time spent using technology. The aim of this study was to test whether time spent using technology predicted shorter sleep duration, and/or vice versa using cross-lagged analyses over one year. Participants were 1620 high school students in the 8th and 9th grade at baseline from 17 public schools in three middle Sweden communities. Students completed questionnaires at school during the spring of 2015 and 2016. Time spent using technology was self-reported and sleep duration was calculated from reported bed-times, wake-times and sleep onset latency. Time spent using technology significantly predicted shorter subsequent sleep duration and vice versa. Public health advocates educating others about the negative impacts of technology on sleep must also be mindful of the opposite, that many young people may turn to technological devices when experiencing difficulty sleeping.