Employment status transitions in employees with and without chronic disease in the Netherlands

Objectives: Objectives were to: (1) longitudinally assess transitions in employment status of employees with and without chronic disease; and (2) assess predictors of exit from paid employment. Methods: Transitions in employment status at 1- and 2-year follow-up were assessed in a longitudinal cohort study of employees aged 15–63 years. Generalised estimating equations (GEE) and logistic regression analyses were performed to analyse differences in transitions and identify sociodemographic, health- and work-related predictors. Results: At 1- and 2-year follow-up, 10,038 employees (37% with chro... Mehr ...

Verfasser: de Boer, Angela G. E. M.
Geuskens, Goedele A.
Bültmann, Ute
Boot, C. cile R. L.
Wind, Haije
Koppes, Lando L. J.
Frings-Dresen, Monique H. W.
Dokumenttyp: Artikel
Erscheinungsdatum: 2018
Reihe/Periodikum: de Boer , A G E M , Geuskens , G A , Bültmann , U , Boot , C C R L , Wind , H , Koppes , L L J & Frings-Dresen , M H W 2018 , ' Employment status transitions in employees with and without chronic disease in the Netherlands ' , International Journal of Public Health , vol. 63 , no. 6 , pp. 713-722 . https://doi.org/10.1007/s00038-018-1120-8
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27624059
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://research.vumc.nl/en/publications/38f77662-3205-4019-a159-38e916c7bddb

Objectives: Objectives were to: (1) longitudinally assess transitions in employment status of employees with and without chronic disease; and (2) assess predictors of exit from paid employment. Methods: Transitions in employment status at 1- and 2-year follow-up were assessed in a longitudinal cohort study of employees aged 15–63 years. Generalised estimating equations (GEE) and logistic regression analyses were performed to analyse differences in transitions and identify sociodemographic, health- and work-related predictors. Results: At 1- and 2-year follow-up, 10,038 employees (37% with chronic disease) and 7636 employees responded. Employees with chronic disease had higher probability of leaving paid employment [OR 1.4 (1.1–1.6)] and unemployment, disability pension and early retirement. Employees without chronic disease had higher chance of moving into self-employment or study. At 2-year follow-up, employees with cardiovascular disease (15%), chronic mental disease (11%), diabetes (10%) and musculoskeletal disease (10%), had left paid employment most often. Higher age, poor health, burnout, low co-worker support and chronic disease limitations were predictors for leaving paid employment. Conclusions: Employees with chronic disease leave paid work more often for unfavourable work outcomes.