Interaction between insulin resistance and depression in predicting cardiovascular risk: Evidence from a longitudinal study

胰岛素抵抗与抑郁症在预测心血管风险中的相互作用:一项纵向研究的证据

阅读:1

Abstract

BackgroundDepression and insulin resistance-measured by the estimated glucose disposal rate (eGDR)-are both linked to cardiovascular disease (CVD), but whether eGDR mediates this relationship remains unclear. We examined the mediating role of eGDR and its joint and interactive effects with depression on incident CVD.MethodsData were derived from the China Health and Retirement Longitudinal Study (2011-2020). Participants without baseline CVD and with complete eGDR and CESD-10 data were included. eGDR was calculated as 21.158 - (0.09 × waist circumference) - (3.407 × hypertension) - (0.551 × HbA1c). Depressive symptoms were defined as CESD-10 ≥ 12. Cox models adjusted for demographic and lifestyle factors assessed CVD risk across four groups defined by eGDR and depression status.ResultsDuring a median 9-years follow-up, 1643 CVD events occurred. Participants with low eGDR and depression had the highest CVD risk (HR = 1.87, 95% CI: 1.40-2.49, p < 0.001). Additive interaction analysis indicated biological synergy (relative excess risk = 1.37; attributable proportion = 0.32). eGDR mediated 9.82% of the depression-CVD association. Interactions were stronger in older adults.ConclusionLow eGDR and depressive symptoms synergistically elevate CVD risk, highlighting the importance of integrating metabolic and psychological assessments in CVD prevention.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。