The day-today variations of sleep and physical activity are associated with various health outcomes in adults, and previous studies suggested a bidirectional association between these behaviors. The daily associations between sleep and physical activity have been examined in observational or interventional contexts. The primary goal of the current systematic review and meta-analysis was to summarize existing evidence about daily associations between sleep and physical activity outcomes at inter-and intraindividual level in adults. A systematic search of records in eight databases from inception to July 2019 identified 33 peer-reviewed empirical publications that examined daily sleep-physical activity association in adults. The qualitative and quantitative analyses of included studies did not support a bidirectional daily association between sleep outcomes and physical activity. Multilevel meta-analyses showed that three sleep parameters were associated with physical activity the following day: sleep quality, sleep efficiency, and wake after sleep onset. However, the associations were small, and varied in terms of direction and level of variability (e.g. inter-or intra-individual). Daytime physical activity was associated with lower total sleep time the following night at an inter-person level with a small effect size. Future studies should examine sleep and physical activity during a longer period and perform additional sophisticated statistical analyses.
Introduction Common mental disorders (CMDs) and musculoskeletal disorders (MSDs) lead the list of causes for work absence in several countries. Current research is starting to look at workers on sick leave as a single population, regardless of the nature of the disease or accident. The purpose of this study is to report the validation of the Return to Work Obstacles and Self-Efficacy Scale (ROSES) for people with MSDs and CMDs, based on the disability paradigm. Methods From a prospective design, the ROSES' reliability and validity were investigated in a Canadian sample of workers on sick leave due to MSDs (n = 206) and CMDs (n = 157). Results Exploratory and confirmatory factor analyses revealed that 46 items spread out on 10 conceptual dimensions (e.g., Fears of a relapse, Job demands, Difficult relation with the immediate supervisor), with satisfactory alpha coefficients and test-retest reliability for all subscales. Finally, several dimensions of ROSES also predict the participant's RTW within 6 months for MSDs (e.g., job demands), and CMDs (e.g., difficult relation with the immediate supervisor), even when adjusted by several variables (e.g., age, severity of symptoms). Apart from the job demands dimension, when the ROSES dimension is more external to the individual, only the perception of obstacles remains significant to predict RTW whereas it is the opposite result when the dimension is more internal (e.g., fears of a relapse). Conclusion The ROSES demonstrated satisfactory results regarding its validity and reliability with people having MSDs or CMDs, at the time of the return-to-work process.
The day-to-day variations of sleep and physical activity are associated with various health outcomes in adults, and previous studies suggested a bidirectional association between these behaviors. The daily associations between sleep and physical activity have been examined in observational or interventional contexts. The primary goal of the current systematic review and meta-analysis was to summarize existing evidence about daily associations between sleep and physical activity outcomes at inter- and intra-individual level in adults. A systematic search of records in eight databases from inception to July 2019 identified 33 peer-reviewed empirical publications that examined daily sleep – physical activity association in adults. The qualitative and quantitative analyses of included studies did not support a bidirectional daily association between sleep outcomes and physical activity. Multilevel meta-analyses showed that three sleep parameters were associated with physical activity the following day: sleep quality, sleep efficiency, and wake after sleep onset. However, the associations were small, and varied in terms of direction and level of variability (e.g. inter- or intra-individual). Daytime physical activity was associated with lower total sleep time the following night at an inter-person level with a small effect size. Future studies should examine sleep and physical activity during a longer period and perform additional sophisticated statistical analyses.
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