Hunter Jaimie C, DeVellis Brenda M, Jordan Joanne M, Sue Kirkman M, Linnan Laura A, Rini Christine, Fisher Edwin B
Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, NC 27157 USA.
Department of Health Behavior, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC USA.
Clin Diabetes Endocrinol. 2018 Jan 4;4:1. doi: 10.1186/s40842-017-0052-1. eCollection 2018.
Empirical research has revealed a positive relationship between type 2 diabetes mellitus and depression, but questions remain regarding timing of depression measurement, types of instruments used to measure depression, and whether "depression" is defined as clinical depression or depressive symptoms. The present study sought to establish the robustness of the depression-diabetes relationship across depression definition, severity of depressive symptoms, recent depression, and lifetime depression in a nationally representative dataset and a large rural dataset.
The present examination, conducted between 2014 and 2015, used two large secondary datasets: the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2008 ( = 3072) and the Arthritis, Coping, and Emotion Study (ACES) from 2002 to 2006 ( = 2300). Depressive symptoms in NHANES were measured using the Patient Health Questionnaire 9-item survey (PHQ-9). ACES used the Center for Epidemiologic Studies-Depression Scale (CES-D) to measure depressive symptoms and the Composite International Diagnostic Interview (CIDI) to measure diagnosable depression. Diabetes was modelled as the dichotomous outcome variable (presence vs. absence of diabetes). Logistic regression was used for all analyses, most of which were cross-sectional. Analyses controlled for age, ethnicity, sex, education, and body mass index, and NHANES analyses used sample weights to account for the complex survey design. Additional analyses using NHANES data focused on the addition of health behavior variables and inflammation to the model.
Every one-point increase in depressive symptoms was associated with a 5% increase in odds of having diabetes [OR: 1.05 (CI: 1.03, 1.07)]. These findings persisted after controlling for health behaviors and inflammation. . For every one-point increase in depressive symptom score, odds of having diabetes increased by 2% [OR: 1.02 (CI: 1.01, 1.03)]. Recent (past 12 months) depression [OR: 1.49, (CI: 1.03, 2.13)] and lifetime depression [OR: 1.40 (CI: 1.09, 1.81)] were also significantly associated with having diabetes.
This study provides evidence for the robustness of the relationship between depression or depressive symptoms and diabetes and demonstrates that depression occurring over the lifetime can be associated with diabetes just as robustly as that which occurs more proximal to the time of study measurement.
实证研究揭示了2型糖尿病与抑郁症之间存在正相关关系,但在抑郁症测量的时间、用于测量抑郁症的工具类型以及“抑郁症”是被定义为临床抑郁症还是抑郁症状方面仍存在疑问。本研究旨在在全国代表性数据集和大型农村数据集中,确定抑郁症与糖尿病之间关系在抑郁症定义、抑郁症状严重程度、近期抑郁症和终生抑郁症方面的稳健性。
本次调查于2014年至2015年进行,使用了两个大型二手数据集:2007年至2008年的国家健康与营养检查调查(NHANES,n = 3072)和2002年至2006年的关节炎、应对与情绪研究(ACES,n = 2300)。NHANES中的抑郁症状使用患者健康问卷9项调查(PHQ - 9)进行测量。ACES使用流行病学研究中心抑郁量表(CES - D)测量抑郁症状,并使用复合国际诊断访谈(CIDI)测量可诊断的抑郁症。糖尿病被建模为二分结果变量(患有糖尿病与未患有糖尿病)。所有分析均使用逻辑回归,其中大部分为横断面分析。分析控制了年龄、种族、性别、教育程度和体重指数,NHANES分析使用样本权重来考虑复杂的调查设计。使用NHANES数据的额外分析重点是在模型中添加健康行为变量和炎症因素。
抑郁症状每增加1分,患糖尿病的几率就增加5% [比值比(OR):1.05(置信区间:1.03,1.07)]。在控制了健康行为和炎症因素后,这些结果依然成立。抑郁症状评分每增加1分,患糖尿病的几率增加2% [OR:1.02(置信区间:1.01,1.03)]。近期(过去12个月)抑郁症[OR:1.49,(置信区间:1.03,2.13)]和终生抑郁症[OR:1.40(置信区间:1.09,1.81)]也与患糖尿病显著相关。
本研究为抑郁症或抑郁症状与糖尿病之间关系的稳健性提供了证据,并表明终生发生的抑郁症与糖尿病的关联程度与研究测量时间更近发生的抑郁症一样强烈。