TY - JOUR

T1 - Risk markers of all-cause and diagnosis-specific disability pension--a prospective cohort study of individuals sickness absent due to stress-related mental disorders

AU - Ishtiak-Ahmed, Kazi

AU - Perski, Aleksander

AU - Mittendorfer-Rutz, Ellenor

PY - 2014

Y1 - 2014

N2 - BACKGROUND: Stress-related mental disorders rank among the leading causes of sickness absence in several European countries. The aim of this study was to investigate predictors of all-cause and diagnosis-specific disability pension in sickness absentees with stress-related mental disorders.METHODS: A cohort of 36304 non-retired individuals aged 16-64 years at 31.12.2004 with at-least one sickness absence spell due to stress-related mental disorders (SRMD) initiated in 2005 in Sweden was followed-up with regard to disability pension (2006-2010) by linkage of registers. Uni- and multivariate Hazard ratios (HR) with 95% Confidence Intervals, CI, were estimated using Cox regression for several risk markers.RESULTS: During the follow-up period, 2735 individuals (7.5%) were granted a disability pension, predominantly due to mental diagnoses (n = 2004, 73.3%). In the multivariate analyses, female sex, age exceeding 35 years, low educational level, being born in a country outside EU25 and Northern Europe, residing outside big cities, living alone, having had a long duration of the first spell due to SRMD (>90 days); mental disorders necessitating frequent specialised health care as well as comorbid somatic disorders were found to be predictive of granting disability pension. Some different patterns emerged for risk factors related to diagnosis-specific disability pension and for younger and older individuals.CONCLUSIONS: Several predictors could be identified as risk markers for disability pension. The variation in the effect of risk markers with regard to age and diagnosis of disability pension speaks in favour of the importance of a person-centered approach in treatment and rehabilitation.

AB - BACKGROUND: Stress-related mental disorders rank among the leading causes of sickness absence in several European countries. The aim of this study was to investigate predictors of all-cause and diagnosis-specific disability pension in sickness absentees with stress-related mental disorders.METHODS: A cohort of 36304 non-retired individuals aged 16-64 years at 31.12.2004 with at-least one sickness absence spell due to stress-related mental disorders (SRMD) initiated in 2005 in Sweden was followed-up with regard to disability pension (2006-2010) by linkage of registers. Uni- and multivariate Hazard ratios (HR) with 95% Confidence Intervals, CI, were estimated using Cox regression for several risk markers.RESULTS: During the follow-up period, 2735 individuals (7.5%) were granted a disability pension, predominantly due to mental diagnoses (n = 2004, 73.3%). In the multivariate analyses, female sex, age exceeding 35 years, low educational level, being born in a country outside EU25 and Northern Europe, residing outside big cities, living alone, having had a long duration of the first spell due to SRMD (>90 days); mental disorders necessitating frequent specialised health care as well as comorbid somatic disorders were found to be predictive of granting disability pension. Some different patterns emerged for risk factors related to diagnosis-specific disability pension and for younger and older individuals.CONCLUSIONS: Several predictors could be identified as risk markers for disability pension. The variation in the effect of risk markers with regard to age and diagnosis of disability pension speaks in favour of the importance of a person-centered approach in treatment and rehabilitation.

KW - Absenteeism

KW - Adolescent

KW - Adult

KW - Causality

KW - Cohort Studies

KW - Comorbidity

KW - Disabled Persons

KW - Female

KW - Humans

KW - Incidence

KW - Male

KW - Mental Disorders

KW - Middle Aged

KW - Multivariate Analysis

KW - Pensions

KW - Prospective Studies

KW - Risk Factors

KW - Sick Leave

KW - Stress, Psychological

KW - Sweden

KW - Time Factors

KW - Young Adult

U2 - 10.1186/1471-2458-14-805

DO - 10.1186/1471-2458-14-805

M3 - Journal article

C2 - 25099303

VL - 14

SP - 805

JO - BMC Public Health

JF - BMC Public Health

SN - 1471-2458

ER -