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总的和躯体性抑郁症状持续处于高水平且波动的轨迹会增加患糖尿病的风险:两项前瞻性队列研究。

Persistently high and fluctuating trajectories of total and somatic depressive symptoms increase diabetes risk: Two prospective cohort studies.

作者信息

Zou Xue-Lun, Zhou Chang

机构信息

Department of Neurology, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China.

Department of Oncology, Third Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China.

出版信息

World J Diabetes. 2025 Aug 15;16(8):106683. doi: 10.4239/wjd.v16.i8.106683.

Abstract

BACKGROUND

Depression is a significant risk factor for diabetes, particularly type 2 diabetes. However, depressive symptoms differ from clinical depression. Previous research has not fully considered the relationship between the trajectory of depressive symptoms and the risk of developing diabetes over time.

AIM

To investigate the association between depressive symptoms, their trajectories, and the risk of developing diabetes in two prospective cohort studies.

METHODS

In the first phase we analyzed the association between depressive symptoms and the risk of developing diabetes separately using the Health and Retirement Study (HRS). Depressive symptom trajectories were assessed by examining changes in depressive symptoms at baseline and again 8 years later. We then identified specific depressive symptom trajectories that increased the risk of diabetes in the second phase. Finally, we confirmed the association between depressive symptoms and their trajectories with diabetes risk using the English Longitudinal Study of Ageing (ELSA) as a validation study. Depressive symptom trajectories were categorized into five states based on changes in the modified 8-item Center for Epidemiological Studies-Depression scores: Persistently high; increasing; fluctuating; decreasing; and persistently low. Diabetes mellitus was defined as self-reported, physician-diagnosed diabetes. Cox proportional hazards models were used to assess hazard ratios (HR) and 95% confidence intervals (CI), adjusting for potential confounders.

RESULTS

In the first phase a total of 27658 participants were included (HRS: 18633, ELSA: 9025), among whom 6582 had depressive symptoms (HRS: 4547, ELSA: 2035), 6407 had somatic depressive symptoms (HRS: 4414, ELSA: 1993), and 26415 had cognitive-affective depressive symptoms (HRS: 17755, ELSA: 8660). We found that overall depressive symptoms (HRS: HR = 1.14, 95%CI: 1.07-1.22; ELSA: HR = 1.18, 95%CI: 1.03-1.34) and somatic depressive symptoms (HRS: HR = 1.14, 95%CI: 1.07-1.22; ELSA: HR = 1.25, 95%CI: 1.10-1.42) increased the risk of diabetes, while cognitive depressive symptoms were not associated with diabetes risk. Over an 8-year follow-up we identified 19729 trajectories of overall, somatic, and cognitive-affective depressive symptoms (HRS: 13918, ELSA: 5811). In the second phase we found that persistently high (HRS: HR = 1.22, 95%CI: 1.06-1.40, ELSA: HR = 1.54, 95%CI: 1.16-2.05 in total and HRS: HR = 1.24, 95%CI: 1.07-1.43, ELSA: HR = 1.79, 95%CI: 1.36-2.35 in somatic) and fluctuating (HRS: HR = 1.09, 95%CI: 1.01-1.17, ELSA: HR = 1.33, 95%CI: 1.14-1.55 in total and HRS: HR = 1.10, 95%CI: 1.02-1.18, ELSA: HR = 1.31, 95%CI: 1.13-1.53 in somatic) trajectories of overall and somatic depressive symptoms increased the risk of diabetes, while increasing trajectories may also raise diabetes risk. However, decreasing trajectories were not associated with diabetes risk. Cognitive-affective depressive symptoms showed no association with diabetes risk regardless of trajectory changes. Sensitivity analyses confirmed the reliability of the findings.

CONCLUSION

Persistently high and fluctuating trajectories of overall and somatic depressive symptoms increased the risk of diabetes, while decreasing trajectories were not associated with diabetes risk. In contrast trajectories of cognitive-affective depressive symptoms show no relationship with diabetes risk. Focusing on depressive symptom trajectories, particularly those of somatic depressive symptoms, represented a viable strategy for future diabetes prevention.

摘要

背景

抑郁症是糖尿病尤其是2型糖尿病的一个重要风险因素。然而,抑郁症状不同于临床抑郁症。以往的研究尚未充分考虑抑郁症状轨迹与随时间推移患糖尿病风险之间的关系。

目的

在两项前瞻性队列研究中调查抑郁症状、其轨迹与患糖尿病风险之间的关联。

方法

在第一阶段,我们分别使用健康与退休研究(HRS)分析抑郁症状与患糖尿病风险之间的关联。通过检查基线时和8年后的抑郁症状变化来评估抑郁症状轨迹。然后在第二阶段,我们确定了增加糖尿病风险的特定抑郁症状轨迹。最后,我们使用英国老龄化纵向研究(ELSA)作为验证研究,确认了抑郁症状及其轨迹与糖尿病风险之间的关联。根据改良的8项流行病学研究中心抑郁量表得分的变化,将抑郁症状轨迹分为五种状态:持续高水平;上升;波动;下降;以及持续低水平。糖尿病定义为自我报告的、医生诊断的糖尿病。使用Cox比例风险模型评估风险比(HR)和95%置信区间(CI),并对潜在混杂因素进行调整。

结果

在第一阶段,共纳入27658名参与者(HRS:18633名,ELSA:9025名),其中6582名有抑郁症状(HRS:4547名,ELSA:2035名),6407名有躯体性抑郁症状(HRS:4414名,ELSA:1993名),26415名有认知情感性抑郁症状(HRS:17755名,ELSA:8660名)。我们发现,总体抑郁症状(HRS:HR = 1.14,95%CI:1.07 - 1.22;ELSA:HR = 1.18,95%CI:1.03 - 1.34)和躯体性抑郁症状(HRS:HR = 1.14,95%CI:1.07 - 1.22;ELSA:HR = 1.25,95%CI:1.10 - 1.42)增加了患糖尿病的风险,而认知性抑郁症状与糖尿病风险无关。在8年的随访中,我们确定了19729条总体、躯体和认知情感性抑郁症状的轨迹(HRS:13918条,ELSA:5811条)。在第二阶段,我们发现总体和躯体抑郁症状的持续高水平轨迹(总体:HRS:HR = 1.22,95%CI:1.06 - 1.40,ELSA:HR = 1.54,95%CI:1.16 - 2.05;躯体:HRS:HR = 1.24,95%CI:1.07 - 1.43,ELSA:HR = 1.79,95%CI:1.36 - 2.35)和波动轨迹(总体:HRS:HR = 1.09,95%CI:1.01 - 1.17,ELSA:HR = 1.33,95%CI:1.14 - 1.55;躯体:HRS:HR = 1.10,95%CI:1.02 - 1.18,ELSA:HR = 1.31,95%CI:1.13 - 1.53)增加了患糖尿病的风险,而上升轨迹也可能增加糖尿病风险。然而,下降轨迹与糖尿病风险无关。无论轨迹变化如何,认知情感性抑郁症状与糖尿病风险均无关联。敏感性分析证实了研究结果的可靠性。

结论

总体和躯体抑郁症状的持续高水平和波动轨迹增加了患糖尿病的风险,而下降轨迹与糖尿病风险无关。相比之下,认知情感性抑郁症状轨迹与糖尿病风险无关。关注抑郁症状轨迹,尤其是躯体性抑郁症状的轨迹,是未来预防糖尿病的一个可行策略。

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