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Correlates of comorbid mental disorders in a regional community‐based sample
Author(s) -
Heathcote Katharine E.,
Kelly Brian,
Earnest Arul,
Beard John R.
Publication year - 2009
Publication title -
australian journal of rural health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.48
H-Index - 49
eISSN - 1440-1584
pISSN - 1038-5282
DOI - 10.1111/j.1440-1584.2009.01088.x
Subject(s) - comorbidity , psychiatry , neuroticism , clinical psychology , multinomial logistic regression , vulnerability (computing) , medicine , cohort , mental illness , mental health , logistic regression , distress , cross sectional study , psychology , personality , social psychology , computer security , machine learning , computer science , pathology
Objective: The common coexistence of psychiatric disorders has been identified as a significant factor contributing to the disability associated with mental illness. Identifying indicators to the development of coexisting disorders has potential clinical implications. This study aimed to investigate the correlates and impact of coexisting disorders in a rural setting.Design: Cross‐sectional analyses of data from a cohort interviewed in two phases.Setting: A regional community sample in Northern New South Wales, Australia.Participants: A total of 1407 participants were interviewed and 968 were re‐interviewed at follow up.Main outcome measures: Multinomial logistic regression modelling compared subjects with multiple psychiatric disorders with those with a single disorder for sociodemographic characteristics, measures of personal and social vulnerability, psychological distress, functional disabilities and help‐seeking behaviours.Results: Participants with coexisting disorders were more likely to be male, report a history of severe childhood assault and had higher levels of neuroticism, psychological distress and help‐seeking behaviour.Conclusions: The findings suggest the role of early developmental factors on the complexity and severity of adult mental illness in a rural setting and the significant clinical consequences of comorbidity.