Population-Based Cohort Analyses of the Bidirectional Relationship Between Type 2 Diabetes and Depression
Population-Based Cohort Analyses of the Bidirectional Relationship Between Type 2 Diabetes and Depression
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DOI：
10.2337/dc12-0473
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发表时间：
2013-02-01
期刊：
影响因子：
16.2
通讯作者：
Li, Chung-Yi
中科院分区：
文献类型：
--
作者：
Chen, Pei-Chun;Chan, Yen-Ting;Li, Chung-Yi
研究设计和方法-我们使用了两个队列研究与相同的数据库来源，以确定抑郁症和2型糖尿病之间的联系。分析的数据包括从2000年国家健康保险索赔中随机抽取的100万受益人。糖尿病预测抑郁发作的分析包括16，957名糖尿病患者和相同数量的性别和年龄匹配的非糖尿病对照组。抑郁预测糖尿病发作的分析包括5，847名抑郁患者和5，847名性别和年龄匹配的非抑郁对照组。随访期为2000年至2006年，终点的发生是从门诊护理索赔中确定的。调整潜在混杂因素的考克斯比例风险回归模型用于估计相对风险。第一个队列分析指出，糖尿病和非糖尿病受试者中抑郁症的发病密度（ID）分别为7.03/1000人-年（PY）和5.04/1000 PY，表示协变量调整后的风险比（HR）为1.43（95%CI 1.16-1.77）。第二项队列分析指出，抑郁和非抑郁受试者中糖尿病的ID分别为27.59/1，000 PY和9.22/1，000 PY。协变量调整的HR为2.02（1.80-2.27）更强的事件糖尿病与基线depressions.CONCLUSIONS-The两个队列研究糖尿病和抑郁症之间的双向关系提供了证据，与抑郁症预测糖尿病发作的更强的关联。糖尿病护理36：376-382，2013
OBJECTIVE-This study addresses the strength of association for the bidirectional relationship between type 2 diabetes and depression.RESEARCH DESIGN AND METHODS-We used two cohort studies with the same source of database to determine the link between depression and type 2 diabetes. The data analyzed included a random sample of 1 million beneficiaries selected from the National Health Insurance claims in 2000. The analysis of diabetes predicting the depression onset consisted of 16,957 diabetic patients and the same number of sex- and age-matched nondiabetic control subjects. The analysis of depression predicting diabetes onset included 5,847 depressive patients and 5,847 sex- and age-matched nondepressive control subjects. The follow-up period was between 2000 and 2006, and onset of end points was identified from ambulatory care claims. The Cox proportional hazards regression model adjusted for potential confounders was used to estimate relative hazards.RESULTS-The first cohort analysis noted an incidence density (ID) of 7.03 per 1,000 person-years (PY) and 5.04 per 1,000 PY for depression in diabetic and nondiabetic subjects, respectively, representing a covariate-adjusted hazard ratio (HR) of 1.43 (95% CI 1.16-1.77). The second cohort analysis noted an ID of 27.59 per 1,000 PY and 9.22 per 1,000 PY for diabetes in depressive and nondepressive subjects, respectively. The covariate-adjusted HR was stronger at 2.02 (1.80-2.27) for incident diabetes associated with baseline depression.CONCLUSIONS-The two cohort studies provided evidence for the bidirectional relationship between diabetes and depression, with a stronger association noted for the depression predicting onset of diabetes. Diabetes Care 36:376-382, 2013