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Work & Stress
An International Journal of Work, Health & Organisations
Volume 35, 2021 - Issue 4
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Articles

How to sleep well in times of high job demands: The supportive role of detachment and perceived social support

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 358-373 | Received 08 Apr 2020, Accepted 08 Feb 2021, Published online: 19 Feb 2021
 

ABSTRACT

This study aims to examine whether employees who perceive there to be social support from supervisors and colleagues would be better able to detach from work during non-work time and thus sleep better in times of high job demands. Considering contextual factors, such as type of employment (full- and part-time) and supervisor status (with and without), which could influence the associations between work, non-work, and sleep, we also explored these relationships within subgroups of employees. A total of 1856 employees participated in a two-wave-panel study representative of the German adult population. Controlling for the baseline level of sleep quality, regression analyses revealed that job demands predicted changes in sleep quality over a 6-month period and that detachment fully mediated this effect. Furthermore, perceived social support buffered the indirect effect of job demands on sleep quality via detachment. In summary, the results suggest that the interplay of job demands, detachment, and perceived social support is important in promoting sleep quality. Type of employment and supervisor status seem to be factors shaping the above-mentioned effects and should, therefore, be considered in future research.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are openly available in GESIS Panel – Standard Edition at https://doi.org/10.4232/1.13301, ZA5665.

Notes

1 Since sleep quality and sleep duration correlated moderately bearing a risk of over-controlling, we also analysed the hypotheses without sleep duration as control variable. The regression coefficients remained significant when the regression analyses were ran without sleep duration included.

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