ArticleBMC public health2024
Behind the times? Associations of working-time autonomy with health-related and occupational outcomes in health care personnel- a latent profile analysis.
Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- Changes in working hours and burnout levels among physicians: a cohort study.Human resources for health · 2026Article
- A Self-Determination Perspective in Healthcare: Leader-Member Exchange and Job Satisfaction in an Italian Sample.Healthcare (Basel, Switzerland) · 2026Article
- Emotional labor and occupational well-being among endoscopy healthcare workers: a moderated serial mediation model.Frontiers in public health · 2026Article
- Association of work-time control with burnout and turnover intention: a cross-sectional analysis of a general working population in Korea.Epidemiology and health · 2026Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn the light of personnel shortage, the health care sector is facing the challenge to combine increasing employees' as well as patients' needs. The aim of this study was to investigate the association between working-time autonomy and health-related (fatigue, psychosomatic complaints and work ability), as well as occupational outcomes (job satisfaction and turnover intention) in a large sample of health care employees.
methodBased on data of the BauA-Working Time survey, a sample of n = 1,093 employees working in the health care sector was analysed. Outcomes were assessed by the German Fatigue Scale, the Work Ability-Index and single-item measurements. Besides descriptive analyses, latent profile analysis (LPA) was used to determine clusters of employees based on working-time autonomy. Subsequently, regression analyses have been conducted to examine the association between autonomy clusters with health-related and occupational outcomes, controlling for sociodemographic characteristics and employment status.
resultsLPA revealed that a three-cluster model was most suitable: high autonomy (cluster 1), medium autonomy (cluster 2) and low autonomy (cluster 3). The extracted profiles of working-time autonomy differed significantly in terms of sociodemographic and occupational characteristics, but not in terms of average working hours per week or monthly household income. The multivariate regression analysis revealed that being in the low-autonomy cluster was associated with more psychosomatic health complaints (IRR: 1.427, p = 0.008), lower work ability (OR 0.339, p < 0.001), as well as less job satisfaction (OR 0.216, p < 0.001). DISCUSSION: Overall, the analyses indicate that it is crucial to prospectively consider working-time autonomy as an important factor of satisfaction, well-being and turnover intention in health care employees.
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