A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Predictors of Depression and Musculoskeletal Disorder Related Work Disability Among Young, Middle-Aged, and Aging Employees
Tekijät: Ervasti J, Mattila-Holappa P, Joensuu M, Pentti J, Lallukka T, Kivimaki M, Vahtera J, Virtanen M
Kustantaja: LIPPINCOTT WILLIAMS & WILKINS
Julkaisuvuosi: 2017
Journal: Journal of Occupational and Environmental Medicine
Tietokannassa oleva lehden nimi: JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL MEDICINE
Lehden akronyymi: J OCCUP ENVIRON MED
Vuosikerta: 59
Numero: 1
Aloitussivu: 114
Lopetussivu: 119
Sivujen määrä: 6
ISSN: 1076-2752
eISSN: 1536-5948
DOI: https://doi.org/10.1097/JOM.0000000000000921
Tiivistelmä
Objective: The aim of this study was to investigate the level and predictors of work disability in different age groups. Methods: We followed young (18 to 34 years), middle-aged (35 to 50 years), and aging (>50 years) employees (n = 70,417) for 7 years (2005 to 2011) for all-cause and cause-specific work disability (sickness absence and disability pension). Using negative binomial regression, we obtained both relative risk estimates and absolute rates, that is, days of work disability per person-year. Results: The greatest relative difference in all-cause, and specifically depression-related work disability, was between young women and young men, and between employees with low versus high levels of education. Aging employees with a low education and chronic somatic disease had the highest levels of musculoskeletal disorder related work disability. Conclusions: The predictors of work disability vary by age and diagnosis. These results help target age-specific measures for the prevention of permanent work disability.
Objective: The aim of this study was to investigate the level and predictors of work disability in different age groups. Methods: We followed young (18 to 34 years), middle-aged (35 to 50 years), and aging (>50 years) employees (n = 70,417) for 7 years (2005 to 2011) for all-cause and cause-specific work disability (sickness absence and disability pension). Using negative binomial regression, we obtained both relative risk estimates and absolute rates, that is, days of work disability per person-year. Results: The greatest relative difference in all-cause, and specifically depression-related work disability, was between young women and young men, and between employees with low versus high levels of education. Aging employees with a low education and chronic somatic disease had the highest levels of musculoskeletal disorder related work disability. Conclusions: The predictors of work disability vary by age and diagnosis. These results help target age-specific measures for the prevention of permanent work disability.
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