Zhou Jin, Yang Xiaojiao
Department of Pharmacy, NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
PLoS One. 2025 Jan 13;20(1):e0304303. doi: 10.1371/journal.pone.0304303. eCollection 2025.
Diagnosis and intervention of prediabetes is an emerging approach to preventing the progression and complications of diabetes. Inflammatory factors and dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis have been suggested as potential mechanisms underlying the pathogenesis of both diabetes and depression. However, the relationship between depression levels and the prevalence of prediabetes and its prognosis remains elusive. This study aimed to explore the relationship between depression and the prevalence of prediabetes and to further explore the all-cause mortality of different levels of depression in patients with prediabetes.
Our study used a data set from the National Health and Nutrition Examination Survey (NHANES). Participants were initially divided into two groups (depression vs. non-depression) and further stratified by different depression severity levels. We used a weighted multiple logistic regression model to analyze the association between depression and prediabetes prevalence and a Cox regression model to assess all-cause mortality in prediabetic patients.
A total of 4384 participants were included, divided into depression group (n = 1379) and non-depression group (n = 3005). Results showed that people with depression were at higher risk of developing prediabetes. After adjusting for covariates, moderate to severe depression was positively associated with prediabetes (moderate to severe depression vs no depression: OR = 1.834, 95%CI: 0.713-4.721; severe depression vs no depression: OR = 1.004, 95% CI 0.429-2.351). In addition, we explored the relationship between all-cause mortality and depressive status in patients diagnosed with prediabetes (n = 2240) and found that moderate to severe depression (HR = 2.109, 95%CI 0.952-4.670) was associated with higher mortality in patients with prediabetes.
Overall, the findings consistently suggest that depression is positively associated with both the prevalence and mortality risk among individuals with prediabetes. This suggests that depression may be a new and valuable indicator of prediabetes risk. Early treatment of depression improves outcomes in prediabetes.
糖尿病前期的诊断与干预是预防糖尿病进展及并发症的一种新兴方法。炎症因子以及下丘脑 - 垂体 - 肾上腺(HPA)轴功能失调被认为是糖尿病和抑郁症发病机制的潜在原因。然而,抑郁程度与糖尿病前期患病率及其预后之间的关系仍不明确。本研究旨在探讨抑郁与糖尿病前期患病率之间的关系,并进一步探究糖尿病前期患者不同抑郁水平的全因死亡率。
我们的研究使用了来自美国国家健康与营养检查调查(NHANES)的数据集。参与者最初被分为两组(抑郁组与非抑郁组),并进一步按不同抑郁严重程度分层。我们使用加权多元逻辑回归模型分析抑郁与糖尿病前期患病率之间的关联,并使用Cox回归模型评估糖尿病前期患者的全因死亡率。
共纳入4384名参与者,分为抑郁组(n = 1379)和非抑郁组(n = 3005)。结果显示,抑郁患者患糖尿病前期的风险更高。在调整协变量后,中度至重度抑郁与糖尿病前期呈正相关(中度至重度抑郁与无抑郁相比:OR = 1.834,95%CI:0.713 - 4.721;重度抑郁与无抑郁相比:OR = 1.004,95%CI 0.429 - 2.351)。此外,我们探究了确诊为糖尿病前期的患者(n = 2240)的全因死亡率与抑郁状态之间的关系,发现中度至重度抑郁(HR = 2.109,95%CI 0.952 - 4.670)与糖尿病前期患者的较高死亡率相关。
总体而言,研究结果一致表明,抑郁与糖尿病前期个体的患病率和死亡风险均呈正相关。这表明抑郁可能是糖尿病前期风险的一个新的重要指标。早期治疗抑郁症可改善糖尿病前期的预后。