Sun Miao, Bao Shuang
Department of Neurology, General Hospital of Northern Theater Command, Shenyang, China.
Front Aging Neurosci. 2024 Nov 29;16:1507035. doi: 10.3389/fnagi.2024.1507035. eCollection 2024.
It is crucial to identify biomarkers that influence the aging process and associated health risks, given the growing severity of the global population aging issue. The objectives of our research were to evaluate cardiac metabolic index (CMI) as a novel biomarker for identifying individuals at increased risk of accelerated biological aging and to assess its use in guiding preventive strategies for aging-related health risks.
The National Health and Nutrition Examination Survey (NHANES) provided cross-sectional data on participants with complete information on CMI, phenotypic age (PA), and other variables. Analyses of variance and weighted χ tests were conducted to assess differences between groups. The relationship between CMI and biological aging was investigated using a weighted multivariate logistic regression model, restricted cubic spline (RCS) regression analysis, subgroup analysis, and interaction testing.
A positive correlation between CMI and biological aging was observed in 6,272 participants. RCS regression analysis confirmed the non-linear relationship, identifying significant inflection point at 1.10. In the crude or adjusted models, the OR (95% CI), for the highest group versus the reference were 3.608 (3.108, 4.188), 3.397 (2.920, 3.952), and 1.550 (1.299, 1.850), respectively, when categorizing CMI into different groups. Subgroup analyses and interaction tests indicate that the association between CMI and biological aging remained consistent across different subgroups. Gender, race, education level, marital status, poverty income ratio (PIR), drinking status and diabetes had an interaction with CMI in relation to biological aging.
An elevated CMI is linked to increased risk for biological aging. This relationship may inform more effective prevention and treatment strategies for biological aging in the future. CMI be integrated into routine health screenings or aging assessments by healthcare professionals.
鉴于全球人口老龄化问题日益严重，识别影响衰老过程及相关健康风险的生物标志物至关重要。我们研究的目的是评估心脏代谢指数（CMI）作为一种新型生物标志物，用于识别生物衰老加速风险增加的个体，并评估其在指导衰老相关健康风险预防策略中的应用。
国家健康与营养检查调查（NHANES）提供了有关CMI、表型年龄（PA）和其他变量的完整信息的参与者的横断面数据。进行方差分析和加权χ检验以评估组间差异。使用加权多变量逻辑回归模型、受限立方样条（RCS）回归分析、亚组分析和交互作用检验来研究CMI与生物衰老之间的关系。
在6272名参与者中观察到CMI与生物衰老之间存在正相关。RCS回归分析证实了这种非线性关系，确定在1.10处有显著拐点。在粗模型或调整模型中，将CMI分为不同组时，最高组与参考组相比的OR（95%CI）分别为3.608（3.108，4.188）、3.397（2.920，3.952）和1.550（1.299，1.850）。亚组分析和交互作用检验表明，CMI与生物衰老之间的关联在不同亚组中保持一致。性别、种族、教育水平、婚姻状况、贫困收入比（PIR）、饮酒状况和糖尿病在生物衰老方面与CMI存在交互作用。
CMI升高与生物衰老风险增加有关。这种关系可能为未来生物衰老的更有效预防和治疗策略提供依据。CMI可被医疗保健专业人员纳入常规健康筛查或衰老评估中。
