Literature DB >> 18202084

Severe depressive symptoms as predictor of disability pension: a 10-year follow-up study in Denmark.

Ute Bültmann1, Karl B Christensen, Hermann Burr, Thomas Lund, Reiner Rugulies.   

Abstract

Are severe depressive symptoms prospectively associated with disability pension? To answer that question, we linked data from a representative sample of the Danish workforce with disability pension (DP) award data from the National Registry on Public Transfer Payments. Of the 5106 study participants, 111 employees (2.2%) received DP during the 10-year follow-up. Severe depressive symptoms, reported in 1995, predicted DP award during follow-up (adjusted hazard ratio = 2.38, 95% confidence interval 1.22-4.66). Further research is needed to understand more fully the pathway(s) from severe depressive symptoms to DP.

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Year:  2008        PMID: 18202084     DOI: 10.1093/eurpub/ckm132

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  26 in total

1.  Employees sick-listed with mental disorders: who returns to work and when?

Authors:  C A M Roelen; G Norder; P C Koopmans; W van Rhenen; J J L van der Klink; U Bültmann
Journal:  J Occup Rehabil       Date:  2012-09

2.  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

3.  Predicting disability pension - depression as hazard: a 10 year population-based cohort study in Norway.

Authors:  Eva Lassemo; Inger Sandanger; Jan F Nygård; Knut W Sørgaard
Journal:  Int J Methods Psychiatr Res       Date:  2015-06-22       Impact factor: 4.035

4.  Psychosocial working conditions and depressive symptoms among Swedish employees.

Authors:  Linda L Magnusson Hanson; Töres Theorell; Per Bech; Reiner Rugulies; Hermann Burr; Martin Hyde; Gabriel Oxenstierna; Hugo Westerlund
Journal:  Int Arch Occup Environ Health       Date:  2009-02-24       Impact factor: 3.015

5.  Prevention of recurrent sickness absence among employees with common mental disorders: design of a cluster-randomised controlled trial with cost-benefit and effectiveness evaluation.

Authors:  Iris Arends; Jac Jl van der Klink; Ute Bültmann
Journal:  BMC Public Health       Date:  2010-03-15       Impact factor: 3.295

6.  Gender and age differences in the recurrence of sickness absence due to common mental disorders: a longitudinal study.

Authors:  Petra C Koopmans; Corné Am Roelen; Ute Bültmann; Rob Hoedeman; Jac Jl van der Klink; Johan W Groothoff
Journal:  BMC Public Health       Date:  2010-07-20       Impact factor: 3.295

7.  Effectiveness of adjuvant occupational therapy in employees with depression: design of a randomized controlled trial.

Authors:  Hiske L Hees; Maarten W J Koeter; Gabe de Vries; Wendy Ooteman; Aart H Schene
Journal:  BMC Public Health       Date:  2010-09-17       Impact factor: 3.295

8.  Occupational position and its relation to mental distress in a random sample of Danish residents.

Authors:  Reiner Rugulies; Ida E H Madsen; Maj Britt D Nielsen; Lis R Olsen; Erik L Mortensen; Per Bech
Journal:  Int Arch Occup Environ Health       Date:  2009-12-01       Impact factor: 3.015

9.  Mental health claims management and return to work: qualitative insights from Melbourne, Australia.

Authors:  Bianca Brijnath; Danielle Mazza; Nabita Singh; Agnieszka Kosny; Rasa Ruseckaite; Alex Collie
Journal:  J Occup Rehabil       Date:  2014-12

10.  Clustering of adversity in young adults on disability pension due to mental disorders: a latent class analysis.

Authors:  Matti Joensuu; Pauliina Mattila-Holappa; Kirsi Ahola; Jenni Ervasti; Mika Kivimäki; Teija Kivekäs; Aki Koskinen; Jussi Vahtera; Marianna Virtanen
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2015-09-15       Impact factor: 4.328

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