Occupational exposures and genetic susceptibility to occupational exposures are related to sickness absence in the Lifelines cohort study

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

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.

Sickness absence from work in the footwear industry: A longitudinal study

BACKGROUND: Studies on illness in the footwear industry have prioritized specific work sectors and diseases. OBJECTIVES: To analyze the main factors related to sickness absence and the indicators of illness in terms of recurrence and workdays lost among workers at a footwear company, ranging from storage of raw material to distribution of the final product. METHODS: A total of 9072 cases of absence from work were investigated in shoe production units from 2014 to 2017. Univariate models estimated the risk of bodily dysfunction (physiological and psychological) and the severity of recurrence and work days lost. RESULTS: (1) Most production units and work sectors were related to one or more affected bodily functions; (2) Neuromusculoskeletal and movement-related functions and the work sectors of prefabrication; cutting, assembly and finishing; and quality inspection of the final product required a longer recovery time before return to work and had a greater recurrence of leave; and (3) Women seemed to be more affected than men in terms of the reappearance of symptoms. CONCLUSIONS: Illness differs according to occupational sectors. The production sectors present more serious situations due to physical overload, intense rhythm and concentration, monotony and low autonomy.

The formation of SCEs as an effect of occupational exposure to formaldehyde

Formaldehyde (FA) is a ubiquitous toxic chemical employed worldwide due to its disinfectant and preservative properties. Despite being classified as a human carcinogen, FA is still employed as formalin in pathology wards as standard fixative. We evaluated its relationship with the formation of sister-chromatid exchanges (SCEs) in cultured peripheral blood lymphocytes on 57 pathologists and 48 controls and the risk/protective role played by several genetic polymorphisms. All subjects were assessed for SCEs and genotyped for the most common cancer-associated gene polymorphisms: CYP1A1 exon 7 (A > G), CYP1A1*2A (T > C), CYP2C19*2 (G > A), GSTT1 (presence/absence), GSTM1 (presence/absence), GSTP1 (A > G), XRCC1 (G399A), XRCC1 (C194T), XRCC1 (A280G), XPC exon 15 (A939C), XPC exon 9 (C499T), TNFα − 308 G > A), IL10 − 1082 (G > A), and IL6 − 174 (G > C). Air-FA concentration was assessed through passive personal samplers. Pathologists, exposed to 55.2 μg/m³ of air-FA, showed a significantly higher SCEs frequency than controls, exposed, respectively, to 18.4 μg/m³. Air-FA was directly correlated with SCEs frequency and inversely with the replication index (RI). Regression models showed FA exposure as a significant predictor in developing SCEs, while did not highlight any role of the selected polymorphisms. Our study confirms the role of low air-FA levels as genotoxicity inductor, highlighting the importance to define exposure limits that could be safer for exposed workers.