Literature DB >> 15099029

Diagnosis and duration of sickness absence as predictors for disability pension: results from a three-year, multi-register based* and prospective study.

Sturla Gjesdal1, Espen Bratberg.   

Abstract

AIM: A study was undertaken to identify predictors for the transition from long-term sickness absence into disability pension with special emphasis on routinely collected medical information (e.g. diagnoses on sickness certificates) and the duration of sickness-absence spells.
METHODS: The study used a 10% random sample of the Norwegian population of working age (the KIRUT database). Individuals below 60 years of age, with spells of long-term sickness absence starting in 1990-91, where the medical diagnoses on the sickness certificates were known, were identified. This group (4,432 men and 5,645 women) was followed up for three years after the end of sickness absence with regard to disability pension and working status.
RESULTS: In logistic regression the following predictors significantly increased the risk of obtaining disability pension during the first three years after the long-term sickness spell: age, part-time employment, and duration of absence > 197 days. Higher education and having children < 11 years significantly decreased the risk. Having the medical diagnoses "mental problems" and diseases in the nervous system, respiratory system, and circulatory systems indicated high risk (compared with musculoskeletal disease). The diagnostic groups "pregnancy-related disease" and "injuries" implied low risk for disability pension. In separate regressions for both genders the "protective effect" of having small children remained only for women. High risk for sickness absence caused by "mental problems" reached significance only for men. CONCLUSIONS AND IMPLICATIONS: Several risk factors for transition from long-term sickness absence into disability pension were identified. The finding that spells of sickness absence with duration up to seven months did not imply increased risk of disability during the first three years may have implications for interventions aimed at long-term sickness absentees.

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Year:  2003        PMID: 15099029     DOI: 10.1080/14034940210165154

Source DB:  PubMed          Journal:  Scand J Public Health        ISSN: 1403-4948            Impact factor:   3.021


  43 in total

1.  Diagnosis-specific sick leave as a long-term predictor of disability pension: a 13-year follow-up of the GAZEL cohort study.

Authors:  K Alexanderson; M Kivimäki; J E Ferrie; H Westerlund; J Vahtera; A Singh-Manoux; M Melchior; M Zins; M Goldberg; J Head
Journal:  J Epidemiol Community Health       Date:  2011-10-14       Impact factor: 3.710

2.  Social integration, socioeconomic conditions and type of ill health preceding disability pension in young women: a Swedish population-based study.

Authors:  Klas Gustafsson; Gunnar Aronsson; Staffan Marklund; Anders Wikman; Maud Hagman; Birgitta Floderus
Journal:  Int J Behav Med       Date:  2014-02

3.  Genetic and environmental contributions to long-term sick leave and disability pension: a population-based study of young adult Norwegian twins.

Authors:  Line C Gjerde; Gun Peggy Knudsen; Nikolai Czajkowski; Nathan Gillespie; Steven H Aggen; Espen Røysamb; Ted Reichborn-Kjennerud; Kristian Tambs; Kenneth S Kendler; Ragnhild E Orstavik
Journal:  Twin Res Hum Genet       Date:  2013-06-07       Impact factor: 1.587

4.  Depressive symptoms and the risk of long-term sickness absence: a prospective study among 4747 employees in Denmark.

Authors:  Ute Bültmann; Reiner Rugulies; Thomas Lund; Karl Bang Christensen; Merete Labriola; Hermann Burr
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2006-09-01       Impact factor: 4.328

5.  Recurrence of medically certified sickness absence according to diagnosis: a sickness absence register study.

Authors:  C A M Roelen; P C Koopmans; J R Anema; A J van der Beek
Journal:  J Occup Rehabil       Date:  2010-03

6.  Sickness absence as a prognostic marker for common chronic conditions: analysis of mortality in the GAZEL study.

Authors:  M Kivimäki; J Head; J E Ferrie; A Singh-Manoux; H Westerlund; J Vahtera; A Leclerc; M Melchior; A Chevalier; K Alexanderson; M Zins; M Goldberg
Journal:  Occup Environ Med       Date:  2008-07-08       Impact factor: 4.402

7.  A prospective study on self-assessed mental well-being and work capacity as determinants of all-cause sickness absence.

Authors:  M Bertilsson; M Vaez; M Waern; G Ahlborg; G Hensing
Journal:  J Occup Rehabil       Date:  2015-03

8.  Prognostic factors for return to work, sickness benefits, and transitions between these states: a 4-year follow-up after work-related rehabilitation.

Authors:  Irene Oyeflaten; Stein Atle Lie; Camilla M Ihlebæk; Hege R Eriksen
Journal:  J Occup Rehabil       Date:  2014-06

9.  Life course determinants for early disability pension: a follow-up of Norwegian men and women born 1967-1976.

Authors:  Hans Magne Gravseth; Tor Bjerkedal; Lorentz M Irgens; Odd O Aalen; Randi Selmer; Petter Kristensen
Journal:  Eur J Epidemiol       Date:  2007-05-25       Impact factor: 8.082

10.  Sick-leave track record and other potential predictors of a disability pension. A population based study of 8,218 men and women followed for 16 years.

Authors:  Thorne Wallman; Hans Wedel; Edward Palmer; Annika Rosengren; Saga Johansson; Henry Eriksson; Kurt Svärdsudd
Journal:  BMC Public Health       Date:  2009-04-15       Impact factor: 3.295

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