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. 2024 Jan 17;24(1):214.
doi: 10.1186/s12889-024-17662-3.

Comprehensive evaluation of the impact of workplace exposures on physician-certified sick leave in the general working population

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Comprehensive evaluation of the impact of workplace exposures on physician-certified sick leave in the general working population

Tom Sterud et al. BMC Public Health. .

Abstract

Background: Our objective was to quantify the prospective associations between work factors across chemical, physical, mechanical, and psychosocial domains and the onset of medically certified sick leave.

Methods: Eligible respondents were interviewed in 2009, 2013, or 2016 and were registered in the national sick leave register with an employee relationship lasting more than 50 working days during the year of the survey interviews and the following year (n = 15,294 observations). To focus on the onset of high-level sick leave (HLSL; >16 days a year), we excluded individuals with HLSL during the survey year (baseline). We then used mixed-effect logistic regression models to assess prospective associations between self-reported work conditions and the occurrence of doctor-certified HLSL in the following year.

Results: The average occurrence of HLSL was 13.1%. After adjusting for sex, age, level of education, chronic health problems, and smoking, we observed an exposure-response relationship between cumulative exposure to work factors within all domains and the occurrence of HLSL. When evaluating the impact of combined exposures, predicted odds ratios (OR) for employees exposed to 1, 2, and 3 or more work factors within all domains were 1.60 (95%CI 1.32 - 1.94), 2.56 (95%CI 1.73 - 3.74) and 4.09 (95%CI 2.28 - 7.25), compared to those not exposed.

Conclusions: The results support the notion that exposure to multiple work factors in various domains, including psychosocial, mechanical, chemical, and physical work conditions, is associated with an increased risk of high-level sick leave. Employers and occupational health professionals should consider the joint impact of these domains when designing interventions.

Keywords: Occupational exposure; Occupational health; Sickness absence; Work; Working conditions.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Prevalence and odds ratio of sick leave (HLSL) according to cumulative exposure to psychosocial, mechanical, chemical, and physical work factors
Fig. 2
Fig. 2
Predicted OR and 95%CI for HLSL based on the additive model in Table 4. Note: The reference group consists of individuals unexposed (score = 0) in all three indices, i.e., psychosocial, mechanical, and chemical/physical factors. The estimated odds ratios (ORs) with 95% confidence intervals (CIs) are calculated for respondents with scores of 1, 2, and 3 in each domain. These estimates are adjusted for sex, age, number of actual working days, education level (continuous), chronic health problems, and smoking. Additionally, the three indices are mutually adjusted.

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