Self-reported health problems and obesity predict sickness absence during a 12-month follow-up : a prospective cohort study in 21 608 employees from different industries

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Pihlajamäki , M , Uitti , J , Arola , H , Ollikainen , J , Korhonen , M , Nummi , T & Taimela , S 2019 , ' Self-reported health problems and obesity predict sickness absence during a 12-month follow-up : a prospective cohort study in 21 608 employees from different industries ' , BMJ Open , vol. 9 , no. 10 , e025967 . https://doi.org/10.1136/bmjopen-2018-025967

Title: Self-reported health problems and obesity predict sickness absence during a 12-month follow-up : a prospective cohort study in 21 608 employees from different industries
Author: Pihlajamäki, Minna; Uitti, J.; Arola, H.; Ollikainen, J.; Korhonen, M.; Nummi, T.; Taimela, S.
Contributor: University of Helsinki, Tampere University
University of Helsinki, Department of Surgery
Date: 2019
Language: eng
Number of pages: 12
Belongs to series: BMJ Open
ISSN: 2044-6055
URI: http://hdl.handle.net/10138/326369
Abstract: Objectives To study whether self-reported health problems predict sickness absence (SA) from work in employees from different industries. Methods The results of a health risk appraisal (HRA) were combined with archival data of SA of 21 608 employees (59% female, 56% clerical). Exposure variables were self-reported health problems, labelled as ' work disability (WD) risk factors' in the HRA, presence of problems with occupational well-being and obesity. Age, socioeconomic grading and the number of SA days 12 months before the survey were treated as confounders. The outcome measure was accumulated SA days during 12-month follow-up. Data were analysed separately for males and females. A Hurdle model with negative binomial response was used to analyse zero-inflated count data of SA. Results The HRA results predicted the number of accumulated SA days during the 12-month follow-up, regardless of occupational group and gender. The ratio of means of SA days varied between 2.7 and 4.0 among those with ' WD risk factors' and the reference category with no findings, depending on gender and occupational group. The lower limit of the 95% CI was at the lowest 2.0. In the Hurdle model, ' WD risk factors', SA days prior to the HRA and obesity were additive predictors for SA and/or the accumulated SA days in all occupational groups. Conclusion Self-reported health problems and obesity predict a higher total count of SA days in an additive fashion. These findings have implications for both management and the healthcare system in the prevention of WD. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Subject: health surveillance
occupational health practice
risk assessment
sickness absence
absenteeism
adult
age
aged
Article
cohort analysis
employee
evaluation study
exposure variable
female
Finland
follow up
gender
health hazard
human
Hurdle model
industry
major clinical study
male
middle aged
obesity
outcome assessment
prediction
predictive validity
prospective study
retrospective study
risk factor
self report
socioeconomics
statistical model
wellbeing
work disability
adolescent
health status
health status indicator
medical leave
occupational health
young adult
Absenteeism
Adolescent
Adult
Aged
Cohort Studies
Female
Health Status
Health Status Indicators
Humans
Male
Middle Aged
Obesity
Occupational Health
Prospective Studies
Retrospective Studies
Self Report
Sick Leave
Young Adult
3142 Public health care science, environmental and occupational health
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