Development and validation of a risk prediction model for work disability : multicohort study

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Airaksinen , J M , Jokela , M M , Virtanen , M , Oksanen , T , Pentti , J , Vahtera , J , Koskenvuo , M J , Kawachi , I , Betty , G D & Kivimäki , M J 2017 , ' Development and validation of a risk prediction model for work disability : multicohort study ' , Scientific Reports , vol. 7 , 13578 . https://doi.org/10.1038/s41598-017-13892-1

Title: Development and validation of a risk prediction model for work disability : multicohort study
Author: Airaksinen, Jaakko Matias; Jokela, Markus Mikael; Virtanen, Marianna; Oksanen, Tuula; Pentti, Jaana; Vahtera, Jussi; Koskenvuo, Markku Juhani; Kawachi, Ichiro; Betty, G. David; Kivimäki, Mika Juhani
Contributor: University of Helsinki, Medicum
University of Helsinki, Medicum
University of Helsinki, Markku Koskenvuo / Principal Investigator
University of Helsinki, Clinicum
Date: 2017-10-19
Language: eng
Number of pages: 12
Belongs to series: Scientific Reports
ISSN: 2045-2322
URI: http://hdl.handle.net/10138/228330
Abstract: Work disability affects quality of life, earnings, and opportunities to contribute to society. Work characteristics, lifestyle and sociodemographic factors have been associated with the risk of work disability, but few multifactorial algorithms exist to identify individuals at risk of future work disability. We developed and validated a parsimonious multifactorial score for the prediction of work disability using individual-level data from 65,775 public-sector employees (development cohort) and 13,527 employed adults from a general population sample (validation cohort), both linked to records of work disability. Candidate predictors for work disability included sociodemographic (3 items), health status and lifestyle (38 items), and work-related (43 items) variables. A parsimonious model, explaining > 99% of the variance of the full model, comprised 8 predictors: age, self-rated health, number of sickness absences in previous year, socioeconomic position, chronic illnesses, sleep problems, body mass index, and smoking. Discriminative ability of a score including these predictors was high: C-index 0.84 in the development and 0.83 in the validation cohort. The corresponding C-indices for a score constructed from work-related predictors (age, sex, socioeconomic position, job strain) were 0.79 and 0.78, respectively. It is possible to identify reliably individuals at high risk of work disability by using a rapidly-administered prediction score.
Subject: CORONARY-HEART-DISEASE
POPULATION-BASED COHORT
CARDIOVASCULAR-DISEASE
ORGANIZATIONAL JUSTICE
DECISION LATITUDE
JOB DEMANDS
FOLLOW-UP
PENSION
HEALTH
RETIREMENT
3142 Public health care science, environmental and occupational health
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