Ou Wenli, Liu Peipei, Zhao Naihui, Dong Ao, Chen Shuohua, Wang Guodong, Wu Shouling, Yang Xiuhong
School of Public Health North China University of Science and Technology Tangshan Hebei China.
Department of Cardiology Kailuan General Hospital Tangshan Hebei China.
J Am Heart Assoc. 2025 Apr 15;14(8):e039522. doi: 10.1161/JAHA.124.039522. Epub 2025 Apr 10.
The relationship between cumulative body mass index (cumBMI) exposure and cardiac conduction block (CCB) is not fully understood. This study aimed to explore the association between cumBMI and the risk of CCB.
A total of 107 860 participants of the Kailuan Study were included. Participants were then categorized into 4 groups based on their quartile of cumBMI. The association of cumBMI with CCB was estimated using the Cox proportional hazards regression model. During a median follow-up of 8.36 years, 1894 CCBs, 586 atrioventricular blocks (AVBs), 1273 intraventricular blocks, 851 right bundle branch blocks, and 319 any left bundle branch blocks occurred. After adjusting for potential confounders, the hazard ratios for CCB, atrioventricular block, intraventricular block, right bundle branch block, and any left bundle branch block were 1.86 (95% CI, 1.60-2.18), 2.51 (95% CI, 1.90-3.32), 1.55 (95% CI, 1.28-1.87), 2.14 (95% CI, 1.69-2.71), and 1.18 (95% CI, 0.81-1.72) for individuals in the highest quartile of cumBMI compared with those in the second quartile, respectively. Additionally, the subgroup analyses showed significant interactions between age, sex, and cumBMI for developing CCB ( for interaction<0.05).
Our findings suggest that higher cumulative BMI exposure significantly increased the risk of CCB, especially atrioventricular block. Monitoring cumulative BMI may help to identify high-risk CCB populations.
累积体重指数（cumBMI）暴露与心脏传导阻滞（CCB）之间的关系尚未完全明确。本研究旨在探讨cumBMI与CCB风险之间的关联。
共纳入107860名开滦研究参与者。随后根据cumBMI四分位数将参与者分为4组。采用Cox比例风险回归模型评估cumBMI与CCB的关联。在中位随访8.36年期间，发生了1894例CCB，其中586例房室传导阻滞（AVB）、1273例室内传导阻滞、851例右束支传导阻滞和319例任何左束支传导阻滞。在调整潜在混杂因素后，cumBMI最高四分位数的个体与第二四分位数的个体相比，CCB、房室传导阻滞、室内传导阻滞、右束支传导阻滞和任何左束支传导阻滞的风险比分别为1.86（95%CI，1.60 - 2.18）、2.51（95%CI，1.90 - 3.32）、1.55（95%CI，1.28 - 1.87）、2.14（95%CI，1.69 - 2.71）和1.18（95%CI，0.81 - 1.72）。此外，亚组分析显示年龄、性别和cumBMI在发生CCB方面存在显著交互作用（交互作用P<0.05）。
我们的研究结果表明，较高的累积BMI暴露显著增加了CCB风险，尤其是房室传导阻滞。监测累积BMI可能有助于识别CCB高危人群。
