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EN
Objectives To investigate if effort–reward imbalance (ERI) and overcommitment (OC) are associated with all-cause and mental disorder long-term sick leave (LS), and to identify differences in associations between genders, private versus public sector employees and socioeconomic status groups. Material and Methods The study uses a cross-sectional case-control design with a sample of 3477 persons on long-term sick leave of more than 59 days and a control group of 2078 in employment. Data on sick leave originate from social insurance registers, while data on health, working and living conditions were gathered through a survey. The binary logistic regression was used to test the multivariate associations. Results Effort–reward imbalance was associated with all-cause LS among the women (odds ratio (OR) = 1.58, 95% CI: 1.2–2.08), but not among the men. Associations for mental disorder LS were evident for both ERI and OC among both genders (ERI/OC: women OR = 2.76/2.82; men OR = 2.18/2.92). For the men these associations were driven by high effort, while for the women it was low job esteem in public sector and low job security in private sector. Among the highly educated women, ERI was strongly related to mental disorder LS (OR = 6.94, 95% CI: 3.2–15.04), while the highly educated men seemed to be strongly affected by OC for the same outcome (OR = 5.79, 95% CI: 1.48–22.57). Conclusions The study confirmed the independent roles of ERI and OC for LS, with stronger associations among the women and for mental disorders. The ERI model is a promising tool that can contribute to understanding the prevailing gender gap in sick leave and increasing sick leave due to mental disorders. Int J Occup Med Environ Health 2016;29(6):973–989
EN
Objectives The study has aimed at investigating the subjective assessment of an individual’s health status and comparing the prevalence of selected work-related symptoms among nail technicians occupationally exposed to volatile organic compounds (VOCs) to the one among control subjects. Associations between occupational exposure to VOCs and the incidence of adverse health effects were also analyzed. Material and Methods The study involved 145 female nail technicians and 152 control subjects. Data on the prevalence of adverse health effects was collected using the researcher- made questionnaire and then analyzed by means of survival analysis methods. Results Only 22% of nail technicians as compared to 45% of control subjects described their current health status as “excellent” or “very good” (odds ratio (OR) = 0.4, 95% confidence interval (CI): 0.2–0.6, p < 0.00005). In general, 61% of nail technicians confirmed to have experienced any out of all symptoms considered in the study since the commencement of the job, which was significantly higher as compared to 17% of control subjects (adjusted OR = 2.8, 95% CI: 2.1–3.7, p < 0.0001). Estimated median length of the employment period free of investigated symptoms was significantly shorter among nail technicians as compared to controls (12 years vs. 33 years, p < 0.0001), consistent with almost 4-times increased hazard of the occurrence of such symptoms among the technicians (hazard ratio (HR) = 3.9, 95% CI: 2.7–5.7, p < 0.0001). Cox proportional hazard regression modeling revealed almost 5-times increased hazard of the occurrence of any symptoms among nail technicians exposed to higher levels of the mixture of VOCs as compared to those exposed to lower levels (HR = 4.9, 95% CI: 1–24.1, p = 0.05). Conclusions All outcomes combined together indicate that nail technicians are subject to faster health deterioration, which may be assumed to be caused by occupational exposure to low levels of VOCs. Int J Occup Med Environ Health 2017;30(3):469–483
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