Self-reported Occupational Skin Exposure and Risk of Physician-certified Long-term Sick Leave: A Prospective Study of the General Working Population of Norway

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.

Associations between physical and psychosocial work environment factors and sickness absence incidence depend on the lengths of the sickness absence episodes: a prospective study of 27 678 Danish employees

Objectives

This study examined if the association between work environment factors and sickness absence (SA) depended on the inclusion or exclusion of short-term SA episodes.

Methods

We linked the ‘Work Environment and Health in Denmark’ survey with the ‘Danish Register of Work Absences’ (n=27 678). Using covariate adjusted Cox regression, we examined the associations between work environment factors and SA by changing the cut-off points for the length of the SA episodes, for example, episodes ≥1 day, ≥6 days and ≥21 days. We examined three physical work environment factors: ‘Back bend or twisted’, ‘Lifting or carrying’, ‘Wet hands’ and three psychosocial work environment factors: ‘Poor influence’, ‘Role conflicts’ and ‘Bullying’.

Results

‘Back bend or twisted’ and ‘Lifting or carrying’ had small significant HRs for SA episodes ≥1 day and large and highly significant HRs for SA episodes ≥6 days and ≥21 days. ‘Wet hands’ had small significant HRs for SA episodes ≥1 day for both sexes and large and highly significant HR for ≥6 days for women. HRs of all three psychosocial factors were highly significant for SA episodes ≥1 day and ≥6 days for both sexes, and ‘Poor influence’ and ‘Role conflicts’ were significant for SA episodes ≥21 days for women.

Conclusions

The physical work factors had higher associations with SA when SA episodes of 1–5 days were excluded and focus was on SA episodes ≥6 days. The psychosocial work factors were strongly associated with SA both with and without SA episodes of 1–5 days included in the analyses.

Influence of occupational factors on regional differences in sick leave: A prospective population study

Aims: Number of sick leave days vary by county, but little is known about the extent to which this gradient may be explained by differences pertaining to occupational composition and occupational exposure. Methods: A randomly drawn cohort from the general population in Norway, aged 18–69 years, was interviewed by telephone in the second half of 2009 ( n=12,255; response at baseline=60.9%) and followed up in national registries to the end of 2010. Eligible respondents were registered with an active employee relationship in 2009 and 2010 ( n=8275). Information on counties ( n=19) was based on the administrative register. The outcome of interest was the number of physician-certified sick-leave days divided by scheduled man-days during 2010 (i.e. sick-leave percentage (SLP)). Results: The average SLP during 2010 was 5.2%. The between-county variation in SLP ranged from 4.0% to 7.2%. Compared to the age- and gender-adjusted model, adjustment for occupation, economic sector and self-reported occupational exposure reduced the median difference in SLP between the county with the lowest SLP (reference county) and the SLP in the other counties by 1.08 percentage points (i.e. a 58% reduction). The impact of occupational composition and occupational exposure on the total between-county variance in SLP was a 16% reduction. Conclusions: Occupational composition and self-reported occupational exposure help to explain a significant part of the difference in SLP between counties, and appear to be more important explanatory factors than demographic variables, self-reported health and smoking.