Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum-University of Bologna, Via San Giacomo, 12, 40126, Bologna, BO, Italy.
Department of Health Sciences, Université du Québec À Rimouski, Rimouski, Canada.
Acta Diabetol. 2022 Jan;59(1):95-104. doi: 10.1007/s00592-021-01791-x. Epub 2021 Sep 8.
Depression in type 2 diabetes may heavily affect the course of the disease. In this study, we investigated, among new cases with type 2 diabetes, the incidence and clinical predictors of depression and determined the extent to which depression constitutes a risk factor for acute and long-term diabetes complications and mortality.
In this population-based retrospective cohort study, incident cases of type 2 diabetes without a prior history of depression were identified from the administrative databases of the Emilia-Romagna Region, Italy, between 2008 and 2017 and followed up until 2020. Logistic regression models were used to identify the predictors of depression. Cox regression models were used to estimate the risk of acute complications over three years, and the risk of long-term complications and mortality over ten years.
Incident cases with type 2 diabetes were 30,815, of whom 5146 (16.7%) developed depression. The predictors of depression onset were as follows: female sex, age > 65 years, living in rural areas and comorbid diseases. Depression in type 2 diabetes was associated with a 2.3-fold risk of developing acute complications, 1.6-fold risk of developing long-term complications and 2.8-fold mortality risk.
Our findings highlight that depression is associated with an increased risk for complications in type 2 diabetes and mortality and should not be neglected. Therefore, it is important to promote screening activities and introduce targeted and personalized treatment for depression in order to reduce the risk of poor short- and long-term outcomes of diabetes.
2 型糖尿病患者的抑郁可能会严重影响疾病的进程。本研究旨在调查新诊断为 2 型糖尿病的患者中抑郁的发生率和临床预测因素,并确定抑郁在多大程度上构成急性和长期糖尿病并发症及死亡的风险因素。
在这项基于人群的回顾性队列研究中,我们从意大利艾米利亚-罗马涅地区的行政数据库中确定了 2008 年至 2017 年期间无既往抑郁史的新发 2 型糖尿病病例,并随访至 2020 年。采用逻辑回归模型确定抑郁的预测因素。采用 Cox 回归模型估计三年内急性并发症的风险,以及十年内长期并发症和死亡率的风险。
新诊断为 2 型糖尿病的病例有 30815 例,其中 5146 例(16.7%)发生了抑郁。抑郁发生的预测因素如下:女性、年龄>65 岁、居住在农村地区和合并疾病。2 型糖尿病患者发生抑郁与发生急性并发症的风险增加 2.3 倍、发生长期并发症的风险增加 1.6 倍以及死亡风险增加 2.8 倍相关。
我们的研究结果表明,抑郁与 2 型糖尿病患者并发症和死亡风险增加相关,不容忽视。因此,重要的是要开展筛查活动,并针对抑郁引入有针对性和个性化的治疗,以降低糖尿病不良短期和长期结局的风险。