Co-effect of demand-control-support model and effort-reward imbalance model on depression risk estimation in humans: findings from Henan Province of China.
Yu-SF; Nakata-A; Gu-GZ; Swanson-NG; Zhou-WH; He-LH; Wang-S
Biomed Environ Sci 2013 Dec; 26(12):962-971
Objective: To investigate the co-effect of Demand-control-support (DCS) model and Effort-reward Imbalance (ERI) model on the risk estimation of depression in humans in comparison with the effects when they are used respectively. Methods: A total of 3,632 males and 1,706 females from 13 factories and companies in Henan province were recruited in this cross-sectional study. Perceived job stress was evaluated with the Job Content Questionnaire and Effort-Reward Imbalance Questionnaire (Chinese version). Depressive symptoms were assessed by using the Center for Epidemiological Studies Depression Scale (CES-D). Results: DC (demands/job control ratio) and ERI were shown to be independently associated with depressive symptoms. The outcome of low social support and overcommitment were similar. High DC and low social support (SS), high ERI and high overcommitment, and high DC and high ERI posed greater risks of depressive symptoms than each of them did alone. ERI model and SS model seem to be effective in estimating the risk of depressive symptoms if they are used respectively. Conclusion: The DC had better performance when it was used in combination with low SS. The effect on physical demands was better than on psychological demands. The combination of DCS and ERI models could improve the risk estimate of depressive symptoms in humans.
Job-analysis; Job-stress; Work-environment; Work-operations; Work-organization; Humans; Workers; Analytical-models; Analytical-processes; Mental-stress; Psychological-responses; Psychological-stress; Worker-motivation; Risk-analysis; Questionnaires; Health-surveys; Sociological-factors;
Author Keywords: Depression; Work-related stress; Demand-control-support; Effort- reward imbalance
Shan Fa Yu, Henan Provincial Institute of Occupational Health, Zhengzhou 450052, Henan, China
Biomedical and Environmental Sciences