Department of Pharmaceutical Systems and Policy, School of Pharmacy, West Virginia University, Morgantown, West Virginia, USA.
J Diabetes. 2013 Sep;5(3):327-35. doi: 10.1111/1753-0407.12014. Epub 2013 May 29.
The aim of the present study was to examine the association between antidepressant use, diagnosed depression, and new-onset diabetes among elderly Medicare beneficiaries.
Longitudinal data from merged survey and claims from the nationally representative Medicare Current Beneficiary Survey(MCBS) from 1999 to 2005 were used. Diabetes incidence was extracted from claims and survey data over a 3-year period. Data regarding depression and antidepressant use over time were obtained. Multivariate logistic regression analysis was used to examine associations between antidepressant use, depression, and new-onset diabetes, adjusted for demographic, socioeconomic, and lifestyle risk factors. Analyses accounted for the complex design of the MCBS.
The incident diabetes rate was 4.8% for those "without depression and without antidepressants" and 9.5% for those with any antidepressant use in all 3 years and diagnosed depression". Compared with Medicare beneficiaries who did not report any antidepressant use, beneficiaries reporting antidepressant use in all 3 years were 50% more likely to have new-onset diabetes. However, when diagnosed depression was entered in the model, there was no significant association between long-term antidepressant use and new-onset diabetes. Medicare beneficiaries with any depression were twice as likely as those without depression to develop diabetes (adjusted odds ratio 2.04; 95% confidence interval 1.51, 2.75).
Depression independently increased the risk of developing diabetes in the MCBS population, although there is no evidence of an association between antidepressant use and new-onset diabetes. If replicated, these results have significant clinical implications.
本研究旨在探讨老年医疗保险受益人中抗抑郁药使用、诊断抑郁症与新发糖尿病之间的关系。
使用来自全国代表性医疗保险当前受益人调查(MCBS)的合并调查和索赔数据,时间跨度为 1999 年至 2005 年。从索赔和调查数据中提取 3 年内的糖尿病发病率数据。获得了关于随时间推移的抑郁和抗抑郁药使用的数据。使用多变量逻辑回归分析来检查抗抑郁药使用、抑郁症和新发糖尿病之间的关联,同时调整了人口统计学、社会经济和生活方式风险因素。分析考虑了 MCBS 的复杂设计。
在所有 3 年内无抑郁且无抗抑郁药使用的人群中,新发糖尿病的发生率为 4.8%,而在所有 3 年内使用任何抗抑郁药和诊断为抑郁症的人群中,发生率为 9.5%。与未报告任何抗抑郁药使用的医疗保险受益人相比,在所有 3 年内报告抗抑郁药使用的受益人发生新发糖尿病的可能性增加了 50%。然而,当将诊断性抑郁症纳入模型时,长期使用抗抑郁药与新发糖尿病之间没有显著关联。有任何抑郁症的医疗保险受益人患糖尿病的可能性是无抑郁症的两倍(调整后的优势比 2.04;95%置信区间 1.51,2.75)。
在 MCBS 人群中,抑郁症独立增加了发生糖尿病的风险,尽管没有证据表明抗抑郁药使用与新发糖尿病之间存在关联。如果得到复制,这些结果具有重要的临床意义。