Purpose This systematic review aimed at identifying the common psychosocial factors that facilitate or hinder the return to work (RTW) after a sick leave due to common mental disorders (CMDs), cardiovascular diseases (CVDs), or cancers (CAs). Methods We conducted a review of reviews searching 13 databases from 1994 to 2016 for peer-reviewed, quantitative, cohort studies investigating factors influencing RTW after a CMD, CVD, or CA. Then, for each disease we identified additional cohort studies published after the date of the latest review included. Data were extracted following a three steps best-evidence synthesis method: the extraction of results about each predictor from studies within each single review and in the additional papers; the synthesis of results across the reviews and additional papers investigating the same disease; and the synthesis of results across the diseases. Results The search strategy identified 1029 unique records from which 27 reviews and 75 additional studies underwent comprehensive review. 14 reviews and 32 additional cohort studies met eligibility criteria. Specific predictors of RTW with different levels of evidence are provided for each disease. We found four common facilitators of RTW (job control, work ability, perceived good health and high socioeconomic status), and six barriers of RTW (job strain, anxiety, depression, comorbidity, older age and low education). Conclusion This is the first review to systematically analyze commonalities in RTW after CMDs, CVDs, or CAs. The common factors identified indicate that the RTW process presents many similarities across various diseases, thus supporting the validity of a cross-disease approach.
To date, research directed at the work–life balance (WLB) has focused mainly on the work and family domains. However, the current labor force is heterogeneous, and workers may also value other nonworking domains besides the family. The aim of this study was to investigate the importance of other nonworking domains in the WLB with a particular focus on health. Moreover, the importance of the effects of the work–family balance (WFB) and the work–health balance (WHB) on job satisfaction was investigated. Finally, we explored how the effects of the WFB and the WHB on job satisfaction change according to worker characteristics (age, gender, parental status, and work ability). This study involved 318 workers who completed an online questionnaire. The importance of the nonworking domains was compared with a t-test. The effect of the WFB and the WHB on job satisfaction was investigated with multiple and moderated regression analyses. The results show that workers considered health as important as family in the WLB. The WHB explained more of the variance in job satisfaction than the WFB. Age, gender and parental status moderated the effect of the WFB on job satisfaction, and work ability moderated the effect of the WHB on job satisfaction. This study highlights the importance of the health domain in the WLB and stresses that it is crucial to consider the specificity of different groups of workers when considering the WLB.
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