Chi-Shin Wu 1 , Susan Shur-Fen Gau , Mei-Shu Lai . Show Affiliations »
Abstract
OBJECTIVE: Antidepressant drugs might induce weight gain and increase diabetes risk. We examined the diabetes risk with long-term antidepressant use in a general population. METHOD: This study was a population-based, nested case-control study using Taiwan's National Health Insurance Research Database between 1998 and 2009. A total of 47,885 patients with type 2 diabetes mellitus (ICD-9 codes: 250.x; excluding 250.x 1 and 250.x 3) and 95,770 controls were identified. We used a conditional logistic regression model for data analysis and 1-year latent period before the diabetes diagnosis to account for the quantification of treatment duration of antidepressant (defined by Anatomic Therapeutic Chemical classification code N06A). Sensitivity analyses were performed using a propensity score matching method, as well as different lengths of latent periods. RESULTS: Compared with nonusers, patients with cumulative antidepressant use (> 2 years) had an increased risk of diabetes (adjusted OR = 1.20; 95% CI, 1.05-1.37). Moreover, increasing mean daily dose or use of selective serotonin reuptake inhibitors or serotonin antagonist and reuptake inhibitors was associated with increased diabetes risk. The increased diabetes risk with long-term antidepressant therapy in patients aged 44 years or less (adjusted OR = 2.39; 95% CI, 1.46-3.90) was higher than that in older adults (adjusted OR = 1.15; 95% CI, 1.00-1.32). CONCLUSIONS: The findings suggest that long-term antidepressant use may be associated with an increased risk of type 2 diabetes mellitus, especially for young adults. Therefore, long-term antidepressant use should be evaluated more cautiously for its benefits and the potential risk of diabetes. © Copyright 2014 Physicians Postgraduate Press, Inc.
OBJECTIVE: Antidepressant drugs might induce weight gain and increase diabetes risk. We examined the diabetes risk with long-term antidepressant use in a general population. METHOD: This study was a population-based, nested case-control study using Taiwan's National Health Insurance Research Database between 1998 and 2009. A total of 47,885 patients with type 2 diabetes mellitus (ICD-9 codes: 250.x; excluding 250.x 1 and 250.x 3) and 95,770 controls were identified. We used a conditional logistic regression model for data analysis and 1-year latent period before the diabetes diagnosis to account for the quantification of treatment duration of antidepressant (defined by Anatomic Therapeutic Chemical classification code N06A ). Sensitivity analyses were performed using a propensity score matching method, as well as different lengths of latent periods. RESULTS: Compared with nonusers, patients with cumulative antidepressant use (> 2 years) had an increased risk of diabetes (adjusted OR = 1.20; 95% CI, 1.05-1.37). Moreover, increasing mean daily dose or use of selective serotonin reuptake inhibitors or serotonin antagonist and reuptake inhibitors was associated with increased diabetes risk. The increased diabetes risk with long-term antidepressant therapy in patients aged 44 years or less (adjusted OR = 2.39; 95% CI, 1.46-3.90) was higher than that in older adults (adjusted OR = 1.15; 95% CI, 1.00-1.32). CONCLUSIONS: The findings suggest that long-term antidepressant use may be associated with an increased risk of type 2 diabetes mellitus , especially for young adults. Therefore, long-term antidepressant use should be evaluated more cautiously for its benefits and the potential risk of diabetes . © Copyright 2014 Physicians Postgraduate Press, Inc.
Entities: Disease
Mutation
Species
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Year: 2014
PMID: 24502860 DOI: 10.4088/JCP.13m08421
Source DB: PubMed Journal: J Clin Psychiatry ISSN: 0160-6689 Impact factor: 4.384