Back to Search Start Over

The Demand–Control Model as a Predictor of Depressive Symptoms—Interaction and Differential Subscale Effects: Prospective Analyses of 2212 German Employees

Authors :
Maren Formazin
Guy G. Potter
Hanne Berthelsen
Uwe Rose
Grit Müller
Hermann Burr
Anne Pohrt
Angelo d’Errico
Thomas Clausen
Anika D. Schulz
Source :
International Journal of Environmental Research and Public Health, Volume 18, Issue 16, International Journal of Environmental Research and Public Health, Vol 18, Iss 8328, p 8328 (2021)
Publication Year :
2021
Publisher :
Multidisciplinary Digital Publishing Institute, 2021.

Abstract

Testing assumptions of the widely used demand–control (DC) model in occupational psychosocial epidemiology, we investigated (a) interaction, i.e., whether the combined effect of low job control and high psychological demands on depressive symptoms was stronger than the sum of their single effects (i.e., superadditivity) and (b) whether subscales of psychological demands and job control had similar associations with depressive symptoms. Logistic longitudinal regression analyses of the 5-year cohort of the German Study of Mental Health at Work (S-MGA) 2011/12–2017 of 2212 employees were conducted. The observed combined effect of low job control and high psychological demands on depressive symptoms did not indicate interaction (RERI = −0.26, 95% CI = −0.91<br />0.40). When dichotomizing subscales at the median, differential effects of subscales were not found. When dividing subscales into categories based on value ranges, differential effects for job control subscales (namely, decision authority and skill discretion) were found (p = 0.04). This study does not support all assumptions of the DC model: (1) it corroborates previous studies not finding an interaction of psychological demands and job control<br />and (2) signs of differential subscale effects were found regarding job control. Too few prospective studies have been carried out regarding differential subscale effects.

Details

Language :
English
ISSN :
16604601
Database :
OpenAIRE
Journal :
International Journal of Environmental Research and Public Health
Accession number :
edsair.doi.dedup.....d3361e5d505cda0045c1ae8d4ff8338f
Full Text :
https://doi.org/10.3390/ijerph18168328