Incidence of ill-health related job loss and related social and occupational factors. The "unfit for the job" study: a one-year follow-up study of 51,132 workers

• Published in: PeerJ (San Francisco, CA) CA), 2018-06, Vol.6 (6), p.e5073-e5073, Article e5073
• Main Authors: Lesage, Francois-Xavier, Dutheil, Frederic, Godderis, Lode, Divies, Aymeric, Choron, Guillaume
• Format: Article
• Language: English
• Subjects: Cognitive science; Compensation; Employees; Employment; Employment contracts; Environmental health; Global Health; Health Policy; Health services; Humanities and Social Sciences; Illnesses; Information systems; Job loss; Life Sciences; Medicine; Multivariate analysis; Musculoskeletal diseases; Occupational diseases; Occupational health; Occupational medicine; Psychology; Public Health; Santé publique et épidémiologie; Trends; Workers; Workplace
• ISSN: 2167-8359; 2167-8359
• DOI: 10.7717/peerj.5073

The analysis of ill-health related job loss may be a relevant indicator for the prioritization of actions in the workplace or in the field of public health, as well as a target for health promotion. The aim of this study was to analyze the medical causes, the incidence, and the characteristics of employees medically unfit to do their job. This one-year prospective study included all workers followed by occupational physicians in an occupational health service in the south of France. The incidence of unfitness for work have been grouped according to the main medical causes and analyzed. We performed a multivariate analysis in order to adjust the observed risk of job loss based on the age groups, sex, occupation and the activity sectors. A total of 17 occupational physicians followed up 51,132 workers. The all-cause incidence of being unfit to return to one's job was 7.8‰ ( = 398). The two main causes of being unfit for one's job were musculoskeletal disorders (47.2%, = 188) and mental ill-health (38.4%, = 153). Being over 50 years old (Odds ratio (OR) 2.63, confidence interval 95% CI [2.13-3.25]) and being a woman (OR 1.52, 95% CI [1.21-1.91]) were associated with the all-cause unfitness, independent of occupation and activity sector. Identification of occupational and demographic determinants independently associated with ill-health related job loss may provide significant and cost-effective arguments for health promotion and job loss prevention.