Development and validation of a prediction model for unemployment and work disability among 55 950 Dutch workers
BACKGROUND: This study developed prediction models for involuntary exit from paid employment through unemployment and disability benefits and examined if predictors and discriminative ability of these models differ between five common chronic diseases. METHODS: Data from workers in the Lifelines Cohort Study (n = 55 950) were enriched with monthly information on employment status from Statistics Netherlands. Potential predictors included sociodemographic factors, chronic diseases, unhealthy behaviours and working conditions. Data were analyzed using cause-specific Cox regression analyses. Mode... Mehr ...
Verfasser: |
Ots, Patricia
Oude Hengel, Karen M.
Burdorf, Alex
Robroek, Suzan J.W.
Nieboer, Daan
Schram, Jolinda L.D.
van Zon, Sander K.R.
Brouwer, Sandra |
Dokumenttyp: |
Artikel |
Erscheinungsdatum: |
2022 |
Reihe/Periodikum: |
Ots , P , Oude Hengel , K M , Burdorf , A , Robroek , S J W , Nieboer , D , Schram , J L D , van Zon , S K R & Brouwer , S 2022 , ' Development and validation of a prediction model for unemployment and work disability among 55 950 Dutch workers ' , European Journal of Public Health , vol. 32 , no. 4 , pp. 578-585 . https://doi.org/10.1093/eurpub/ckac045 |
Schlagwörter: |
/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
/ name=SDG 3 - Good Health and Well-being
/ /dk/atira/pure/sustainabledevelopmentgoals/decent_work_and_economic_growth
/ name=SDG 8 - Decent Work and Economic Growth |
Sprache: |
Englisch |
Permalink: |
https://search.fid-benelux.de/Record/base-27073789 |
Datenquelle: |
BASE;
Originalkatalog |
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Link(s) :
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https://pure.eur.nl/en/publications/e5362dc5-dffc-4a0f-a4e7-52bcc6996916 |