Li Chengjia, Meng Tianwei, Wang Boyu, Liu Changxing, Jiang Nan, Li Jiarui, Chen Huijun
Heilongjiang University of Chinese Medicine, Harbin, China.
Geriatric Psychiatry, Second People's Hospital of Zhoushan, Zhoushan, China.
J Asthma. 2025 Jan;62(1):101-109. doi: 10.1080/02770903.2024.2388774. Epub 2024 Aug 15.
Cardiometabolic Index (CMI) is a surrogate marker for metabolic disorders. It is associated with various chronic diseases. This study aims to investigate the relationship between CMI and asthma.
Data from seven consecutive National Health and Nutrition Examination Survey cycles between 2005 and 2018 were used. The study included adults with self-reported asthma diagnoses and complete information for CMI calculation. The formula for CMI is CMI = [WC (cm)/height (cm)] × [TG (mg/dL)/HDL-C (mg/dL)]. A multivariate logistic regression model was employed to examine the linear relationship between CMI and asthma. Subgroup analyses were conducted to explore potential influencing factors. Additionally, smooth curve fitting and threshold effect analysis were used to describe the non-linear relationship.
A higher CMI was possibly associated with an increased prevalence of asthma. After adjusting for various covariates including marital status, Poverty Income Ratio, Body Mass Index, hypertension, diabetes, smoking, alcohol consumption, heart attack, and stroke, the results remained significant (OR = 1.03; 95%CI, 1.00-1.05, = 0.0178, R = 0.52). Participants with the highest CMI had a 38% increased risk of asthma prevalence compared to those with the lowest CMI (OR = 1.38; 95%CI, 1.19-1.60, < 0.0001).
The findings reveal that elevated CMI levels correlate with an increased risk of asthma, highlighting CMI's potential as a predictive marker for asthma, particularly in populations with a CMI below 1.97. These results suggest that interventions aimed at improving metabolic health may prove effective in managing or preventing asthma.
心脏代谢指数（CMI）是代谢紊乱的替代标志物。它与多种慢性疾病相关。本研究旨在探讨CMI与哮喘之间的关系。
使用了2005年至2018年期间连续七个周期的国家健康与营养检查调查数据。该研究纳入了自我报告患有哮喘诊断且具备计算CMI完整信息的成年人。CMI的计算公式为CMI = [腰围（厘米）/身高（厘米）]×[甘油三酯（毫克/分升）/高密度脂蛋白胆固醇（毫克/分升）]。采用多变量逻辑回归模型来检验CMI与哮喘之间的线性关系。进行亚组分析以探索潜在影响因素。此外，使用平滑曲线拟合和阈值效应分析来描述非线性关系。
较高的CMI可能与哮喘患病率增加相关。在调整了包括婚姻状况、贫困收入比、体重指数、高血压、糖尿病、吸烟、饮酒、心脏病发作和中风等各种协变量后，结果仍然显著（比值比 = 1.03；95%置信区间，1.00 - 1.05，P = 0.0178，R = 0.52）。与CMI最低的参与者相比，CMI最高的参与者哮喘患病率风险增加了38%（比值比 = 1.38；95%置信区间，1.19 - 1.60，P < 0.0001）。
研究结果表明，升高的CMI水平与哮喘风险增加相关，突出了CMI作为哮喘预测标志物的潜力，特别是在CMI低于1.97的人群中。这些结果表明，旨在改善代谢健康的干预措施可能在管理或预防哮喘方面有效。
