Joint association of estimated glucose disposal rate and body mass index with new-onset stroke
Year: 2025
Type: article
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: ) 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.
Source: Frontiers in Neurology
Authors: Ting Yu, Da-Ming Shao, Tian Lv, Yu-Jun Xiong
Language: English
Subfield: Endocrinology, Diabetes and Metabolism
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
Funder: Fudan University
OpenAlex ID: W4410247720
