Kammer Jamie R, Hosler Akiko S, Leckman-Westin Emily, DiRienzo Greg, Osborn Chandra Y
University at Albany School of Public Health, Rensselaer, NY, United States.
University at Albany School of Public Health, Rensselaer, NY, United States.
J Diabetes Complications. 2016 Mar;30(2):242-7. doi: 10.1016/j.jdiacomp.2015.10.017. Epub 2015 Nov 11.
Among people with diabetes, comorbid depression has been associated with suboptimal health outcomes. However, the independent impact of antidepressant use on glycemic control (A1C) has not been well understood.
The Southern Community Cohort Study collected self-reported antidepressant use and measured continuous A1C in a sample of racially diverse adults with and without diabetes who visited community health clinics serving low-income families in the southeastern United States (N=2445). Crude and adjusted linear regression models were used to examine the relationships between using specific antidepressant subclasses and continuous A1C.
Although use of any single antidepressant subclass was not a significant predictor of A1C level, there was a significant association between using multiple antidepressant subclasses and higher A1C, specifically among individuals with diabetes (standardized effect size=.12, p=.04).
Among adults with diabetes, the use of multiple antidepressant subclasses may be a risk factor for suboptimal glycemic control. Prospective studies are needed to confirm the direction of this observation, as the present study was limited by a cross-sectional design and small sample size.
在糖尿病患者中,合并抑郁症与健康状况不佳有关。然而,使用抗抑郁药对血糖控制(糖化血红蛋白)的独立影响尚未得到充分理解。
南方社区队列研究收集了自我报告的抗抑郁药使用情况,并在美国东南部为低收入家庭服务的社区健康诊所中,对有糖尿病和无糖尿病的不同种族成年人样本(N = 2445)测量了连续的糖化血红蛋白。使用粗线性回归模型和调整后的线性回归模型来检验使用特定抗抑郁药亚类与连续糖化血红蛋白之间的关系。
虽然使用任何单一抗抑郁药亚类都不是糖化血红蛋白水平的显著预测因素,但使用多种抗抑郁药亚类与较高的糖化血红蛋白之间存在显著关联,特别是在糖尿病患者中(标准化效应大小 = 0.12,p = 0.04)。
在患有糖尿病的成年人中,使用多种抗抑郁药亚类可能是血糖控制不佳的一个危险因素。由于本研究受横断面设计和小样本量的限制,需要进行前瞻性研究来证实这一观察结果的方向。