Epidemiology of antidepressant medication use in t

Authors: Anna Ivanova Danit Nitka Norbert Schmitz

Publish Date: 2009/09/03

Volume: 45, Issue: 9, Pages: 911-919

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Abstract

Depression has been shown to be a common comorbidity in diabetes From a public health point of view there is a lack of populationbased studies regarding the use of antidepressant medication in nonclinical samples of people with diabetes The objective of the present study was to provide demographic and clinical information about the use of antidepressant medication in a representative community sample of people with diabetesThe Canadian Community Health Survey 12 CCHS 12 is a crosssectional survey that collects information related to health status healthcare utilization and health determinants of the Canadian general population Diabetes presence was ascertained by selfreport of physician diagnosis Depression and anxiety were assessed using a modified version of the World Mental Health Composite International Diagnostic Interview Antidepressant use was determined through selfreportThe population prevalence of selfreported antidepressant use in the past 12 months was 84 SE = 095 among people with diabetes n = 1662 People who took antidepressants had higher average body mass index M = 326 SD = 65 than those not taking antidepressants M = 292 SD = 57 The use of antidepressants was associated with poorer health status and higher number of comorbid chronic conditions Half of diabetes subjects who used antidepressant medication in the last year did not have a lifetime history of major depressionIn a community sample of people with diabetes the prevalence of antidepressant use exceeded the prevalence of major depression Anxiety disorders and other somatic chronic conditions were associated with the prescription of antidepressant medication in people with diabetes but without a history of major depressionThis analysis is based on Statistics Canada’s Canadian Community Health Survey Cycle 12 2005 public use microdata file which contains anonymized collected data All computations on these microdata were prepared by Anna Ivanova Danit Nitka and Norbert Schmitz and the responsibility for the use and interpretation of these data is entirely that of the authors All authors had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis This research was funded by the Canadian Institutes for Health Research CIHR Grant MOP79464 and a FRSQ ChercheurBoursier fellowship to Dr Schmitz

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