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

• Váldodahkkit: Jaakko Airaksinen (Dahkki), Markus Jokela (Dahkki), Marianna Virtanen (Dahkki), Tuula Oksanen (Dahkki), Markku Koskenvuo (Dahkki), Jaana Pentti (Dahkki), Jussi Vahtera (Dahkki), Mika Kivimäki (Dahkki)
• Materiálatiipa: Girji
• Almmustuhtton: Nordic Association of Occupational Safety and Health (NOROSH), 2018-05-01T00:00:00Z.
• Fáttát: article
• Liŋkkat: Connect to this object online.

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...