Why the study?
Although BMI and eGDR are independently associated with stroke risk, their combined effects remained underexplored.
Are body mass index and estimated glucose disposal rate jointly associated with the risk of new-onset stroke in adults over 45 years?
Are body mass index and estimated glucose disposal rate jointly associated with the risk of new-onset stroke in adults over 45 years?
Obesity and low estimated glucose disposal rate have a compounding effect on increasing the risk of new-onset stroke, highlighting the importance of addressing both adiposity and insulin resistance.
Obese adults with low eGDR show highest stroke risk; extends independent associations but leaves open whether joint targeting alters outcomes.
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.
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Yu et al. (2025) studied this question.
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