Literature DB >> 22902269

Self-rated health: a predictor for the three year incidence of major depression in individuals with Type II diabetes.

Ghislaine Badawi1, Véronique Pagé, Kimberley J Smith, Geneviève Gariépy, Ashok Malla, Jianli Wang, Richard Boyer, Irene Strychar, Alain Lesage, Norbert Schmitz.   

Abstract

BACKGROUND: To determine whether self-rated health was a predictor for the three year incidence of major depression in people with Type II diabetes.
METHODS: Data was collected as part a population-based telephone survey of adults with diabetes, in Québec, Canada (2008-2011). Adults with Type II diabetes who did not have major depression at baseline were assessed at three follow-up interviews conducted 12, 24 and 36 months after baseline. Depression was assessed using the Patient Health Questionnaire (PHQ-9). Self-rated health status was determined by asking participants to rate their health on a scale from excellent to poor.
RESULTS: The sample consisted of 1265 adults with Type II diabetes who did not have major depression at baseline. 36% of individuals who had developed major depression at follow up rated their health as fair or poor at baseline compared to 14.4% of those who had not developed major depression. Logistic regression analyses indicated fair or poor self-rated health at baseline to be predictive of a twofold increased risk for major depression at follow-up, even after adjusting for socio-demographic characteristics, lifestyle-related behaviors, disability and diabetes characteristics (OR=2.05, 95% CI 1.20-3.48). LIMITATIONS: We have focused on current depression (last two weeks) and we have used a questionnaire (PHQ-9) rather than a clinical interview for the assessment of depression.
CONCLUSIONS: Self-rated health status might be a predictor for developing major depression in people with diabetes in addition to well established risk factors.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22902269     DOI: 10.1016/j.jad.2012.07.018

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


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