Prediction of long-term absence due to sickness in employees: development and validation of a multifactorial risk score in two cohort studies

Prediction of long-term absence due to sickness in employees: development and validation of a multifactorial risk score in two cohort studies

OBJECTIVES: This study aimed to develop and validate a risk prediction model for long-term sickness absence. METHODS: Survey responses on work- and lifestyle-related questions from 65 775 public-sector employees were linked to sickness absence records to develop a prediction score for medically-cert...

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Bibliographic Details
Main Authors: Jaakko Airaksinen, Markus Jokela, Marianna Virtanen, Tuula Oksanen, Markku Koskenvuo, Jaana Pentti, Jussi Vahtera, Mika Kivimäki
Format: Article
Language:English
Published: Nordic Association of Occupational Safety and Health (NOROSH) 2018-05-01
Series:Scandinavian Journal of Work, Environment & Health
Subjects:
sickness absence
work disability
prediction
long-term sickness absence
prediction model
lasso regression
sick leave
Online Access: https://www.sjweh.fi/show_abstract.php?abstract_id=3713

Internet

https://www.sjweh.fi/show_abstract.php?abstract_id=3713

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