Erschienen in:
01.02.2016 | Original Paper
Clustering of adversity in young adults on disability pension due to mental disorders: a latent class analysis
Erschienen in:
Social Psychiatry and Psychiatric Epidemiology
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Ausgabe 2/2016
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Abstract
Purpose
Mental 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.
Methods
Medical 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.
Results
Three 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.
Conclusions
The 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.