ArticleSocial psychiatry and psychiatric epidemiology2016
Clustering of adversity in young adults on disability pension due to mental disorders: a latent class analysis.
Article in Social psychiatry and psychiatric epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Main activity trajectory clusters of unemployed people with partial work ability and cluster features.Scandinavian journal of public health · 2024Article
- Predicting Long-Term Sickness Absence and Identifying Subgroups Among Individuals Without an Employment Contract.Journal of occupational rehabilitation · 2020Article
- Childhood adversity, adult socioeconomic status and risk of work disability: a prospective cohort study.Occupational and environmental medicine · 2017Article
- Derivation and Validation of the Periodontal and Tooth Profile Classification System for Patient Stratification.Journal of periodontology · 2017Article
- Psychotherapeutic and work-oriented interventions: employment outcomes among young adults with work disability due to a mental disorder.International journal of mental health systems · 2016Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
purposeMental disorders are the leading cause of work disability among young adults. This study examined whether distinct classes could be identified among young adults on the basis of medical history before receiving a disability pension due to a mental disorder.
methodsMedical history was obtained from pension applications and attached medical certificates for 1163 individuals aged 18-34 years who, in 2008, received a disability pension due to a mental disorder. Using latent class analysis, 10 clinical and individual adversities and their associations with sex, age and diagnostic category were examined.
resultsThree classes were identified: childhood adversity (prevalence, 33%), comorbidity (23%), and undefined (44%). The childhood adversity class was characterized by adverse events and symptoms reported during childhood and it associated with depressive disorders. The comorbidity class was characterized by comorbid mental disorders, suicide attempts and substance abuse and associated with younger age and bipolar disorder. The undefined class formed no distinct profile; individuals in this class had the lowest number of adversities and it associated with psychotic disorders.
conclusionsThe identification of subgroups characterized by childhood circumstances and comorbidity may help planning of prevention and support practices for young adults with mental disorders and risk of work disability.
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