ArticleJournal of epidemiology and community health2020
Psychosocial determinants predicting long-term sickness absence: a register-based cohort study.
Article in Journal of epidemiology and community health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The association between pain and diagnosis-specific long-term sickness absence at different levels of body mass index - a register-linked cohort study.BMC public health · 2026Article
- Musculoskeletal Health and Work: Development and Internal-External Cross-Validation of a Model to Predict Risk of Work Absence and Presenteeism in People Seeking Primary Healthcare.Journal of occupational rehabilitation · 2025Article
- Article
- An urgent call to address work-related psychosocial hazards and improve worker well-being.American journal of industrial medicine · 2024Review
- Biopsychosocial rehabilitation in the working population with chronic low back pain: a concept analysis.Journal of rehabilitation medicine · 2024Article
- Success rate and predictors of return to work after implementation of a formal return-to-work trajectory: A retrospective cohort study.Work (Reading, Mass.) · 2024Article
- 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
- Does it matter for health if steps are taken during work or leisure? A prospective accelerometer study using register-based long-term sickness absence.The international journal of behavioral nutrition and physical activity · 2023Article
- Does the Number of Reasons for Seeking Care and Self-Rated Health Predict Sick Leave during the Following 12 Months? A Prospective, Longitudinal Study in Swedish Primary Health Care.International journal of environmental research and public health · 2021Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study assessed the psychosocial determinants as explanatory variables for the length of the work disability period. The aim was to estimate the predictive value of a selected set of psychosocial determinants from the Quickscan questionnaire for the length of the sick leave period. A comparison was also made with the most common biomedical determinant: diagnosis.
methodsIn a cohort study of 4 981 insured Belgian patients, the length of the sick leave was calculated using Kaplan-Meier. Predictive psychosocial determinants were selected using backward conditional selection in Cox regression and using concordance index values (C-index) we compared the predictive value of the biomedical to the psychosocial model in a sample subset.
resultsFourteen psychosocial determinants were significantly (p<0.10) related to the length of the sick leave: health perception of the patient, physical workload, social support management, social support colleagues, work-health interference, psychological distress, fear of colleagues' expectations, stressful life-events, autonomy, learning and development opportunities, job satisfaction, workload, work expectations and expectation to return to work. The C-index of this biopsychosocial model including gender, age and labour status was 0.80 (CI: 0.78; 0.81) (n=4 981). In the subset of 2 868 respondents with diagnostic information, the C-index for the same model was .73 (CI: 0.71; 0.76) compared with 0.63 (CI: 0.61; 0.65) for the biomedical model.
conclusionsA set of 14 psychosocial determinants showed good predictive capacity (C-index: 0.80). Also, in a subset of the sample, the selected determinants performed better compared with diagnostic information to predict long-term sick leave (>6 months).
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