ArticleInternational archives of occupational and environmental health2019
Predicting long-term sickness absence among employees with frequent sickness absence.
Article in International archives of occupational and environmental health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Internet-delivered cognitive behavioral therapy (iCBT) for common mental disorders and subsequent sickness absence: a systematic review and meta-analysis.Scandinavian journal of public health · 2023Pooled it
- Can we distinguish the roles of demographic and temporal changes in the incidence and prevalence of musculoskeletal disorders? A systematic review.Scandinavian journal of work, environment & health · 2022Pooled it
- Machine learning prediction of long-term sickness absence due to mental disorders using Brief Job Stress Questionnaire data.Scientific reports · 2025Article
- Identifying risk factors of long sickness absences: a registry-based study using explainable AI methods.BMJ open · 2025Article
- Workplace gender composition and long-term sickness absence due to mental disorders: A retrospective cohort study.PCN reports : psychiatry and clinical neurosciences · 2025Article
- Sick leave issuance in an obstetrics and gynecology emergency room in Saudi Arabia: Insights for public health and family medicine.SAGE open medicine · 2025Article
- Predicting long-term sickness absence with employee questionnaires and administrative records: a prospective cohort study of hospital employees.Scandinavian journal of work, environment & health · 2023Article
- Separate and joint associations of chronic pain, multisite pain and mental health with sickness absence among younger employees: a register based longitudinal study.Archives of public health = Archives belges de sante publique · 2023Article
- Social Vulnerability of Brazilian Metropolitan Schools and Teachers' Absence from Work Due to Vocal and Psychological Symptoms: A Multilevel Analysis.International journal of environmental research and public health · 2023Article
- Quantifying the impact of environment factors on the risk of medical responders' stress-related absenteeism.Risk analysis : an official publication of the Society for Risk Analysis · 2022Article
- Discriminative and Predictive Analysis of the Brazilian Version of the Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ) Short-Form in Patients With Low Back Pain.Journal of chiropractic medicine · 2021Article
- Frequent short sickness absence, occupational health service utilisation and long-term sickness absence due to mental disorders among young employees.International archives of occupational and environmental health · 2021Article
- The role of sickness absence diagnosis for the risk of future inpatient- or specialized outpatient care in a Swedish population-based twin sample.BMC public health · 2021Article
- Efficacy of an indicated prevention strategy on sickness absence and termination of the employment contract: a 5-year follow-up study.Scandinavian journal of work, environment & health · 2021Article
- Article
- Predicting the duration of sickness absence spells due to back pain: a population-based study from Sweden.Occupational and environmental medicine · 2020Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeFrequent absentees are at risk of long-term sickness absence (SA). The aim of the study is to develop prediction models for long-term SA among frequent absentees.
methodsData were obtained from 53,833 workers who participated in occupational health surveys in the period 2010-2013; 4204 of them were frequent absentees (i.e., employees with ≥ 3 SA spells in the year prior to the survey). The survey data of the frequent absentees were used to develop two prediction models: model 1 including job demands and job resources and model 2 including burnout and work engagement. Discrimination between frequent absentees with and without long-term SA during follow-up was assessed with the area under the receiver operating characteristic curve (AUC); (AUC) ≥ 0.75 was considered useful for practice.
resultsA total of 3563 employees had complete data for analyses and 685 (19%) of them had long-term SA during 1-year follow-up. The final model 1 included age, gender, education, marital status, prior long-term SA, work pace, role clarity and learning opportunities. Discrimination between frequent absentees with and without long-term SA was significant (AUC 0.623; 95% CI 0.601-0.646), but not useful for practice. Model 2 showed comparable discrimination (AUC 0.624; 95% CI 0.596-0.651) with age, gender, education, marital status, prior long-term SA, burnout and work engagement as predictor variables. Differentiating by gender or sickness absence cause did not result in better discrimination.
conclusionsBoth prediction models discriminated significantly between frequent absentees with and without long-term SA during 1-year follow-up, but have to be further developed for use in healthcare practice.
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