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估计的葡萄糖处置率与体重指数对新发中风的联合关联

Joint association of estimated glucose disposal rate and body mass index with new-onset stroke.

作者信息

Yu Ting, Shao Da-Ming, Lv Tian, Xiong Yu-Jun

机构信息

Department of Neurosurgery, Tiantai People's Hospital, Zhejiang, China.

Department of Rheumatology, The University of Chicago Medical Center, Chicago, IL, United States.

出版信息

Front Neurol. 2025 May 9;16:1529752. doi: 10.3389/fneur.2025.1529752. eCollection 2025.

Abstract

BACKGROUND

Stroke is a major global health concern, and understanding its modifiable risk factors is critical for prevention. Body mass index (BMI) and estimated glucose disposal rate (eGDR), indicators of adiposity and insulin sensitivity, respectively, are independently associated with stroke risk. However, the combined effects of these factors remain underexplored.

METHODS

This study utilized data from the China Health and Retirement Longitudinal Study (CHARLS), including 7,212 adults aged over 45 years. Cox proportional hazards models assessed the independent and joint associations of BMI and eGDR with new-onset stroke. Mediation analysis evaluated BMI's role in the eGDR-stroke relationship. Subgroup analyses by age, sex, and BMI categories were conducted.

RESULTS

Over a 7-year follow-up, 587 participants (8.14%) experienced new-onset stroke. Higher BMI was positively associated with stroke incidence, while lower eGDR was linked to increased stroke risk. Participants with both obesity (BMI over 28 kg/m) and lower eGDR faced the highest stroke risk (HR: 2.63; 95% CI: 1.78-3.89). Mediation analysis revealed that BMI significantly mediated 16.78% of the association between eGDR and new-onset stroke. Subgroup analyses showed consistent associations across age, sex, and BMI categories.

CONCLUSION

This study highlights the significant and interconnected roles of BMI and eGDR in new-onset stroke risk, with a compounding effect observed in individuals with obesity and low eGDR. Addressing both insulin resistance and adiposity through targeted interventions could effectively reduce stroke risk, particularly in high-risk populations.

摘要

背景

中风是全球主要的健康问题,了解其可改变的风险因素对预防至关重要。体重指数(BMI)和估计葡萄糖处置率(eGDR)分别是肥胖和胰岛素敏感性的指标,它们与中风风险独立相关。然而,这些因素的综合影响仍未得到充分研究。

方法

本研究利用了中国健康与养老追踪调查(CHARLS)的数据,包括7212名45岁以上的成年人。Cox比例风险模型评估了BMI和eGDR与新发中风的独立和联合关联。中介分析评估了BMI在eGDR与中风关系中的作用。按年龄、性别和BMI类别进行了亚组分析。

结果

在7年的随访中,587名参与者(8.14%)发生了新发中风。较高的BMI与中风发病率呈正相关,而较低的eGDR与中风风险增加有关。肥胖(BMI超过28kg/m)且eGDR较低的参与者面临的中风风险最高(HR:2.63;95%CI:1.78-3.89)。中介分析显示,BMI显著介导了eGDR与新发中风之间16.78%的关联。亚组分析显示,在年龄、性别和BMI类别中存在一致的关联。

结论

本研究强调了BMI和eGDR在新发中风风险中的重要且相互关联的作用,在肥胖和eGDR低的个体中观察到了复合效应。通过有针对性的干预措施解决胰岛素抵抗和肥胖问题,可以有效降低中风风险,特别是在高危人群中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10f0/12098433/7ad6539e62da/fneur-16-1529752-g001.jpg

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