OBJECTIVE: The aim of this study was to investigate whether sociodemographic, disease-related, personal, and work-related factors - measured at baseline - are predictors of recurrent sickness absence (SA) at 6 and 12 months follow-up among workers who returned to work after SA due to common mental disorders (CMD). METHODS: Based on a cluster-randomized controlled trial, this prospective study comprised 158 participants, aged 18-63 years, with partial or full return to work (RTW) and an occupational physician-diagnosed CMD. Data on predictors were collected with questionnaires and administrative data. Outcome was the incidence of recurrent SA (ie, decreased work for ≥30% of contract hours due to all-cause SA regardless of partial or full RTW) at 6 and 12 months follow-up. Longitudinal logistic regression analysis with backward elimination was used. RESULTS: We found that company size >100 [odds ratio (OR) 2.59, 95% confidence interval (95% CI) 1.40-4.80] and conflicts with the supervisor (OR 2.21, 95% CI 1.21-4.04) were predictive of recurrent SA. Having ≥1 chronic diseases decreased the risk of recurrent SA (OR 0.54, 95% CI 0.30-0.96). CONCLUSIONS: Two work- and one disease-related factor predicted the incidence of recurrent SA among workers with CMD. Healthcare providers can use these findings to detect and help workers who have returned to work and are at higher risk for recurrent SA. Furthermore, future interventions to prevent recurrent SA could focus on supervisor conflicts.
RCT Entities:
OBJECTIVE: The aim of this study was to investigate whether sociodemographic, disease-related, personal, and work-related factors - measured at baseline - are predictors of recurrent sickness absence (SA) at 6 and 12 months follow-up among workers who returned to work after SA due to common mental disorders (CMD). METHODS: Based on a cluster-randomized controlled trial, this prospective study comprised 158 participants, aged 18-63 years, with partial or full return to work (RTW) and an occupational physician-diagnosed CMD. Data on predictors were collected with questionnaires and administrative data. Outcome was the incidence of recurrent SA (ie, decreased work for ≥30% of contract hours due to all-cause SA regardless of partial or full RTW) at 6 and 12 months follow-up. Longitudinal logistic regression analysis with backward elimination was used. RESULTS: We found that company size >100 [odds ratio (OR) 2.59, 95% confidence interval (95% CI) 1.40-4.80] and conflicts with the supervisor (OR 2.21, 95% CI 1.21-4.04) were predictive of recurrent SA. Having ≥1 chronic diseases decreased the risk of recurrent SA (OR 0.54, 95% CI 0.30-0.96). CONCLUSIONS: Two work- and one disease-related factor predicted the incidence of recurrent SA among workers with CMD. Healthcare providers can use these findings to detect and help workers who have returned to work and are at higher risk for recurrent SA. Furthermore, future interventions to prevent recurrent SA could focus on supervisor conflicts.
Authors: Eva Rothermund; Reinhold Kilian; Edit Rottler; Dorothea Mayer; Michael Hölzer; Monika A Rieger; Harald Gündel Journal: PLoS One Date: 2017-01-05 Impact factor: 3.240
Authors: Anthony D LaMontagne; Angela Martin; Kathryn M Page; Nicola J Reavley; Andrew J Noblet; Allison J Milner; Tessa Keegel; Peter M Smith Journal: BMC Psychiatry Date: 2014-05-09 Impact factor: 3.630
Authors: Amira Barrech; Reinhold Kilian; Edit Rottler; Lucia Jerg-Bretzke; Michael Hölzer; Monika Annemarie Rieger; Marc Nicolas Jarczok; Harald Gündel; Eva Rothermund Journal: Int J Environ Res Public Health Date: 2018-01-30 Impact factor: 3.390
Authors: Florian Junne; Martina Michaelis; Eva Rothermund; Felicitas Stuber; Harald Gündel; Stephan Zipfel; Monika A Rieger Journal: Int J Environ Res Public Health Date: 2018-03-20 Impact factor: 3.390