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Articles

Prevalence of Chronic Health Conditions in Australian Adults with Depression and/or Anxiety

, BHMSc (Hons) PhD AEP, AES, , BSc (Hons) PhD AEP AES, , BSc, MKin, PhD & , RN, RPN, BA (Hons), Dip Ed, B Ed, M Ed, PhD
Pages 902-907 | Published online: 08 Jul 2019
 

Abstract

The association between psychotic illness and poor physical health is now clearly articulated in the literature. By contrast the impact of depression and/or anxiety on physical health is considerably less understood, despite depression being the leading cause of disability worldwide and is associated with significantly higher prevalence of physical comorbidities than found in the general population. An Australia national cross-sectional population-based survey was conducted to ascertain the prevalence of chronic physical health conditions in persons with, and without depression and/or anxiety, allowing for demographic characteristics and lifestyle factors. The telephone-based survey was conducted using trained interviewers. Survey questions included those eliciting information about demographics, health status, and health behaviours. Independent t-tests and chi square tests showed demographic, health behaviours, and physical illness differed between those with and without depression and/or anxiety. Heart disease, high blood pressure, stroke, cancer, arthritis, chronic neck and/or back pain, and asthma were significantly higher in participants diagnosed with depression and/or anxiety. Binary logistic regression showed the strongest predictor of chronic illness was having a diagnosis of depression and/or anxiety. Depression and anxiety present major health problems impacting a considerable proportion of the population. A greater understanding of the associated physical health issues should provide impetus to broaden the physical health and mental illness research agenda to include these diagnoses.

Disclosure statement

The authors report no conflict of interest.

Additional information

Funding

This study was supported by a grant from the Central Queensland University Population Research Laboratory.

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