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Association between psychosocial job characteristics and sickness absence due to low back symptoms using combined DCS and ERI models.
Yu-S; Lu-M-L; Gu-G; Zhou-W; He-L; Wang-S
Work 2015 Jul; 51(3):411-421
OBJECTIVE: To evaluate the combined demand-control-support (DCS) and effort-reward-overcommitment (ERI-OC) stress models in association with sickness absence due to low back symptoms (SA-LBS). METHODS: A total of 2,737 blue-collar workers recruited from 13 companies in the most populous province (Henan) of China were included in the study. Personal and physical job characteristics, psychosocial scales of the stress models, and SA-LBS data in the preceding year were collected by a self-reported questionnaire and analyzed by a multivariable logistic regression model. Tertile exposure levels (low, medium and high) were constructed to discriminate a risk level. Odds ratios (OR) with 95% confidence intervals (CI) were used as the association with SA-LBS. RESULTS: A large percentage (84.5%) of the Chinese workers did not take sick leave after reporting low back symptoms during the preceding year. High job demand or medium-high reward was associated with SA-LBS. The association of the combined stress models and SA-LBS was not evident. CONCLUSIONS: The ERI-OC model appeared to be more predictive of SA-LBS than the DCS model in the study population. The advantage of using combined stress models for predicting SA-LBS is not evident.
Analytical-models; Analytical-processes; Job-stress; Back-injuries; Lost-work-days; Psychological-factors; Sociological-factors; Task-performance; Work-practices; Physical-capacity; Mathematical-models; Questionnaires; Author Keywords: Demand-control-support; efforts-reward-overcommittment; stress; low back symptoms; sickness absence
Ming-Lun Lu, National Institute for Occupational Safety and Health, 4676 Columbia Parkway, MS C-24, Cincinnati, OH 45226, USA
Issue of Publication
Page last reviewed: March 11, 2019
Content source: National Institute for Occupational Safety and Health Education and Information Division