ArticleBMJ open2019
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.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Joint contribution of body mass index and psychological distress to short and long sickness absence among young and early midlife public sector employees: a register-linked follow-up study.European journal of public health · 2026Article
- Article
- Weight and Lifestyle Behavior Changes in Chinese Health Care Workers During the COVID-19 Pandemic: 3-Year Retrospective Survey.Interactive journal of medical research · 2024Article
- Lifestyle behaviors and stress are risk factors for overweight and obesity in healthcare workers: a cross-sectional survey.BMC public health · 2023Article
- Obesity and sickness absenteeism among health workers in a private hospital in South Africa.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2022Article
- Article
- Association between employment status and sickness presenteeism among Korean employees: a cross-sectional study.Annals of occupational and environmental medicine · 2020Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo study whether self-reported health problems predict sickness absence (SA) from work in employees from different industries.
methodsThe 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.
resultsThe 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.
conclusionSelf-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.
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