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T1  - Prediction of long-term absence due to sickness in employees : development and validation of a multifactorial risk score in two cohort studies 
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UR  - http://hdl.handle.net/10138/235310 
T3  -  
A1  - Airaksinen, Jaakko; Jokela, Markus; Virtanen, Marianna; Oksanen, Tuula; Koskenvuo, Markku; Pentti, Jaana; Vahtera, Jussi; Kivimaki, Mika 
A2  -  
PB  -  
Y1  - 2018 
LA  - eng 
AB  - 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-certified sickness absence lasting > 9 days and >= 90 days. The score was externally validated using data from an independent population-based cohort of 13 527 employees. For both sickness absence outcomes, ... 
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KW  - LASSO regression; prediction model; long-term sickness absence; sick leave; sickness absence; work disability; COMMON MENTAL-DISORDERS; CORONARY-HEART-DISEASE; WHITEHALL-II; HEALTH-CARE; MODELS; WORK; MORTALITY; FREQUENT; ILLNESS; SECTOR; 3142 Public health care science, environmental and occupational health 
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