Associations between anthropometric indices and biological age acceleration in American adults: insights from NHANES 2009–2018 data

作者：Xinyun Chen, Xia Chen, Fangyu Shi, Wenhui Yu, Chang Gao, Shen‐Ju Gou, Ping Fu · 发表于：Scientific Reports · 年份：2025 · DOI：10.1038/s41598-025-08559-1 · 被引用次数：3 · 研究领域：Birth, Development, and Health、Spaceflight effects on biology、Climate Change and Health Impacts

Population aging has become a global phenomenon with significant implications for public health. Aging accelerates the development of age-related diseases, leading to increased social and economic burdens. Obesity further exacerbates these effects by increasing the risk of comorbidities and reducing life expectancy. This study examines the relationships between various anthropometric indices-A Body Shape Index (ABSI), Body Roundness Index (BRI), Body Mass Index (BMI), and Conicity Index (C-index)-and biological age acceleration, providing insights into the effectiveness of these indices in predicting biological aging. Data were sourced from the National Health and Nutrition Examination Survey (NHANES) 2009-2018, involving 22,921 participants after exclusions. Biological aging acceleration was assessed using Phenotypic Age Acceleration (PhenoAgeAccel) and Klemera-Doubal Method Age Acceleration (KDM-AA) algorithms. Associations between anthropometric indices and biological aging acceleration were evaluated using weighted multiple linear and logistic regression models, adjusted for potential confounders. Restricted Cubic Spline (RCS) regression explored non-linear associations. Receiver Operating Characteristic (ROC) curve analysis assessed the predictive capabilities of the anthropometric indices. Higher values of all four anthropometric indices (ABSI, BRI, BMI, and C-index) were significantly associated with increased biological aging acceleration (both PhenoAgeAccel and KDM-A...