The DOI matches its Crossref record; 217 of the 217 references it cites were found in a registry or an index.
A Population-Based Cohort Study of the Effect of Common Mental Disorders on Disability Pension Awards
Abstract
OBJECTIVE: Mental illness is consistently underrecognized in general health care, which may lead to underestimation of its effects on awards for social security payments. The authors investigated empirically the contribution of psychiatric morbidity to the award of disability pensions, in particular those awarded for physical diagnoses. METHOD: Using a historical cohort design, the authors utilized a unique link between a large epidemiological cohort study and a comprehensive national database. Baseline information on mental and physical health was gathered from a 1995-1997 population-based health study of those of working age (20-66 years) in Nord-Trøndelag County, Norway, who were not recipients of disability pension (N=45,782). The outcome assessed was the awarding of disability pensions ascribed to specific ICD-10 diagnoses within 6 to 30 months as registered in the National Insurance Administration. RESULTS: Anxiety and depression were robust predictors of disability pension awards in general, even when disability pensions awarded for any mental disorder were excluded. These effects were only partly explained by baseline somatic symptoms and diagnoses and were stronger in individuals aged 20-44 than in those aged 45-66. Somatic symptoms accounted for far more disability pension awards than did somatic diagnoses. CONCLUSIONS: The cost of common mental disorders in terms of disability pensions and lost productivity may have been considerably underestimated by official statistics, particularly for younger claimants. The results suggest this might be due both to overuse of physical diagnoses and underrecognition of common mental disorders in primary care.
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“Common mental disorders are among the most important predictors of disability pensioning [3–6]; especially, in the younger age groups [7], and associations are significant regardless of whether the pensions are awarded for somatic or psychiatric disorders [8].”
From Personality disorders are important risk factors for disability pensioning (2014) · cites this paper as [8]
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Cites
Items 201–217 of 217
d'Ardenne, P. (1989) · Behaviour Research and Therapy · doi:10.1016/0005-7967(89)90111-3 · Cited by 22
Mechanic, D. (1998) · Milbank Quarterly · doi:10.1111/1468-0009.00077 · Cited by 20
Nonsuicidal mortality in late-life depression.
Lindesay, J. E. B. (1989) · PubMed · Cited by 16
Lavretsky, H., Mistry, R., Bastani, R., Gould, R. L., Gokhman, I., Huang, D. Y. C., Maxwell, A. E., McDermott, C. H., Rosansky, J. S., & Jarvik, L. F. (2003) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.706 · Cited by 14
Peleikis, D. E., Mykletun, A., & Dahl, A. A. (2005) · Nordic Journal of Psychiatry · doi:10.1080/08039480510018805 · Cited by 12
Self-citation364 Mind and cancer — do psychological factors cause cancer?
Johansen, C. (2003) · European Journal of Cancer Supplements · doi:10.1016/s1359-6349(03)90396-x · Cited by 9
Ballenger, J. C. (2006) · Yearbook of Psychiatry and Applied Mental Health · doi:10.1016/s0084-3970(08)70236-6 · Cited by 9
[The cause of death registry and research].
Gjertsen, F. (2000) · PubMed · Cited by 9
Inference 1: chance, bias, and confounding
Stewart, R. (2003) · Oxford University Press eBooks · doi:10.1093/med/9780198515517.003.0012 · Cited by 6
[More and more young people on disability pensions].
Gogstad, A., & Bjerkedal, T. (2001) · PubMed · Cited by 5
Factor structure of the Hospital Anxiety and Depression (HAD) scale
Friedman, S., Even, C., Samuelian, J., et al. (2002) · The British Journal of Psychiatry · doi:10.1192/bjp.181.2.165-a · Cited by 5
Disability Programmes in Need of Reform
Marin, B., Prinz, C., & Queisser, M. (2018) · Routledge eBooks · doi:10.4324/9781315235769-1 · Cited by 5
The development of psychiatric epidemiology
(2003) · Oxford University Press eBooks · doi:10.1093/med/9780198515517.003.0001 · Cited by 3
Statistical methods in psychiatric epidemiology 2: an epidemiologist’ s perspective
Prince, M. J. (2003) · Oxford University Press eBooks · doi:10.1093/med/9780198515517.003.0015 · Cited by 3
The distribution of common mental disorders
Goldberg, D., & Goodyer, I. (2014) · Routledge eBooks · doi:10.4324/9781315820149-11 · Cited by 1
Synthesis: Vulnerability, destabilisation and restitution
(2014) · Routledge eBooks · doi:10.4324/9781315820149-22 · Cited by 1
Prevention of Common Mental Disorders
Sikora, D. M. (2022) · Psychology and Psychotherapy Research Study · doi:10.31031/pprs.2022.06.000632 · Cited by 1
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A hierarchical causal taxonomy of psychopathology across the life span.
Lahey, B. B., Krueger, R. F., Rathouz, P. J., Waldman, I. D., & Zald, D. H. (2017) · Psychological Bulletin · doi:10.1037/bul0000069 · Cited by 443
Physical activity in the prevention and treatment of anxiety and depression.
Martinsen, E. W. (2008) · Nordic Journal of Psychiatry · doi:10.1080/08039480802315640 · Cited by 424
The Health Status of Nonparticipants in a Population-based Health Study: The Hordaland Health Study
Knudsen, A. K., Hotopf, M., Skogen, J. C., Overland, S., & Mykletun, A. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwq257 · Cited by 322
Self-citationLevels of anxiety and depression as predictors of mortality: the HUNT study
Mykletun, A., Bjerkeset, O., øverland, S., Prince, M., Dewey, M., & Stewart, R. (2009) · British Journal of Psychiatry · doi:10.1192/bjp.bp.108.054866 · Cited by 279
Moving towards a population health approach to the primary prevention of common mental disorders
Jacka, F. N., Mykletun, A., & Berk, M. (2012) · BMC Medicine · doi:10.1186/1741-7015-10-149 · Cited by 235
“Unipolar depression now accounts for the largest burden of disability in the developed world, reducing functional capacity [1] and increasing the risk for early mortality across causes of death [2].”
BackgroundSelf-citation
Metadata
- Authors
- Mykletun, A.
- Affiliations
- University of Bergen (NO)
- ORCID
- Mykletun, Arnstein
- Venue
- American Journal of Psychiatry
- Published
- 2006-08-01
- Volume
- 163
- Issue
- 8
- Pages
- 1412
- ISSN
- 0002-953X (ISSN-L)
- OpenAlex
- W1990528257
- Cited by
- 237
- References
- 217
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 2 · 2023: 4 · 2022: 2 · 2021: 8 · 2020: 8 · 2019: 9 · 2018: 10 · 2017: 15 · 2016: 14 · 2015: 14 · 2014: 19 · 2013: 18 · 2012: 20
- FWCI
- 49.77
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- Topics
- Social Sciences › Demography › Retirement, Disability, and Employment
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Workplace Health and Well-being
- Keywords
- common mental disorders, disability pension, anxiety, depression, somatic symptoms, social security benefits, working-age adults, primary care
- MeSH terms
- Adult, Age Factors, Aged, Anxiety Disorders, Mental Disorders, Depressive Disorder, Disability Evaluation, Humans, Male, Middle Aged, Norway, Pensions, Sex Factors, Social Security, Social Welfare, Cohort Studies, Comorbidity, Confidence Intervals, Odds Ratio
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