Favourable changes in physical working conditions and the risk of all-cause sickness absence : a pseudo-experiment

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Shiri , R , Hiilamo , A , Pietilainen , O , Mänty , M , Rahkonen , O & Lallukka , T 2020 , ' Favourable changes in physical working conditions and the risk of all-cause sickness absence : a pseudo-experiment ' , European Journal of Public Health , vol. 30 , no. 2 , pp. 253-259 . https://doi.org/10.1093/eurpub/ckz175

Title: Favourable changes in physical working conditions and the risk of all-cause sickness absence : a pseudo-experiment
Author: Shiri, Rahman; Hiilamo, Aapo; Pietilainen, Olli; Mänty, Minna; Rahkonen, Ossi; Lallukka, Tea
Other contributor: University of Helsinki, Clinicum
University of Helsinki, Center for Population, Health and Society
University of Helsinki, Clinicum
University of Helsinki, Department of Public Health
University of Helsinki, Department of Public Health




Date: 2020-04
Language: eng
Number of pages: 8
Belongs to series: European Journal of Public Health
ISSN: 1101-1262
DOI: https://doi.org/10.1093/eurpub/ckz175
URI: http://hdl.handle.net/10138/320310
Abstract: Background: We determined whether favourable changes in physical workload and environmental factors reduce sickness absence (SA) days using observational cohort data as a pseudo-experiment. Methods: The data from the Finnish Helsinki Health Study included three cohorts of employees of the City of Helsinki [2000/2002-07 (N=2927), 2007-12 (N=1686) and 2012-17 (N=1118), altogether 5731 observations]. First, we estimated the propensity score of favourable changes (reduction in exposures) in physical workload and environmental factors during each 5-year follow-up period on the baseline survey characteristics using logistic regression. Second, we created and stabilized inverse probability of treatment weights for each participant using the propensity scores. Lastly, we used generalized linear model and fitted negative binomial regression models for over-dispersed count data to estimate whether the favourable changes decrease the risk of short-term (1-3 days), intermediate-term (414 days) and long-term (>14 days) SA using employer's register data. Results: During a 5-year follow-up, 11% of the participants had favourable changes in physical workload factors, 13% in environmental factors and 8% in both factors. The incidence of short-term, intermediate-term and long-term SA were lower in employees with favourable workplace changes compared with those without such changes. The reductions were largest for longterm SA. Reporting favourable changes in both workload and environmental factors reduced the number of SA days by 41% within 1 year after the changes and by 32% within 2 years after the changes. Conclusion: This pseudo-experimental study suggests that improving physical working conditions reduces SA.
Subject: RANDOMIZED CONTROLLED-TRIAL
WORKPLACE INTERVENTION
MUSCULOSKELETAL DISORDERS
PROSPECTIVE COHORT
FOLLOW-UP
HEALTH
PAIN
TIME
ENVIRONMENT
PREVENTION
3142 Public health care science, environmental and occupational health
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