A screening tool for the risk of disability retirement due to musculoskeletal disorders

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http://hdl.handle.net/10138/231788

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Shiri , R , Heliövaara , M , Ahola , K , Kaila-Kangas , L , Haukka , E , Kausto , J , Saastamoinen , P , Leino-Arjas , P & Lallukka , T 2018 , ' A screening tool for the risk of disability retirement due to musculoskeletal disorders ' , Scandinavian Journal of Work, Environment & Health , vol. 44 , no. 1 , pp. 37-46 . https://doi.org/10.5271/sjweh.3684

Title: A screening tool for the risk of disability retirement due to musculoskeletal disorders
Author: Shiri, Rahman; Heliövaara, Markku; Ahola, Kirsi; Kaila-Kangas, Leena; Haukka, Eija; Kausto, Johanna; Saastamoinen, Peppiina; Leino-Arjas, Päivi; Lallukka, Tea
Other contributor: University of Helsinki, Center for Population, Health and Society
University of Helsinki, Clinicum



Date: 2018
Language: eng
Number of pages: 10
Belongs to series: Scandinavian Journal of Work, Environment & Health
ISSN: 0355-3140
DOI: https://doi.org/10.5271/sjweh.3684
URI: http://hdl.handle.net/10138/231788
Abstract: Objective This study aimed to develop and validate a risk screening tool using a points system to assess the risk of future disability retirement due to musculoskeletal disorders (MSD). Methods The development population, the Health 2000 Survey, consisted of a nationally representative sample of Finnish employees aged 30-60 years (N=3676), and the validation population, the Helsinki Health Study, consisted of employees of the City of Helsinki aged 40-60 years (N=6391). Both surveys were linked to data on disability retirement awards due to MSD from national register for an 11-year follow-up. Results The discriminative ability of the model with seven predictors was good (Gonen and Heller's K concordance statistic=0.821). We gave points to seven predictors: sex-dependent age, level of education, pain limiting daily activities, multisite musculoskeletal pain, history of arthritis, and surgery for a spinal disorder or carpal tunnel syndrome. A score of >= 3 out of 7 (top 30% of the index) had good sensitivity (83%) and specificity (70%). Individuals at the top 30% of the risk index were at 29 [95% confidence interval (CI) 15-55) times higher risk of disability retirement due to MSD than those at the bottom 40%. Conclusion This easy-to-use screening tool based on self-reported risk factor profiles can help identify individuals at high risk for disability retirement due to MSD.
Subject: MSD
musculoskeletal disease
prediction
prevention
PHYSICAL WORK LOAD
FOLLOW-UP
PENSION
POPULATION
PREDICTORS
ABILITY
FINNS
PAIN
3142 Public health care science, environmental and occupational health
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