Association of dietary inflammatory index and vigorous physical activity on phenotypic age acceleration: a cross-sectional study with machine learning

作者：Shuoqi Li, Jianming Zhou, Dandan Zhang, Qing Du · 发表于：Frontiers in Nutrition · 年份：2025 · DOI：10.3389/fnut.2025.1602821 · 被引用次数：4 · 研究领域：Nutritional Studies and Diet、Dietary Effects on Health、Gut microbiota and health

Background Diet and inflammation are intricately correlated to the aging process. Diet has also been hypothesized to influence aging by regulating inflammation. The phenotypic age acceleration (PhenoAgeAccel) reflects the difference between an individual’s phenotypic and chronological age; a positive value suggests accelerated aging, whereas a negative value indicates slower biological aging. Accordingly, this study investigated the independent and comprehensive influences of vigorous-intensity exercises (VPA) and dietary inflammatory index (DII) on the PhenoAgeAccel in American adults. Methods The study enrolled 4,167 adults sourced from the National Health and Nutrition Examination Survey (NHANES) from 2007–2010 to 2015–2018. The NHANES is designed with a sophisticated, multistage probability sampling methodology and is specifically tailored to comprehensively assess the health and nutritional conditions of the non-institutionalized population. Five machine learning models were constructed to predict participants’ PhenoAgeAccel. Results The PhenoAgeAccel of participants in Groups 3 (anti-inflammatory diet + insufficient VPA) and 4 (anti-inflammatory diet + sufficient VPA) were −2.72 (95% CI − 3.44, −1.93; p < 0.001), and −1.61 (95% CI − 2.65, −0.63; p < 0.001), respectively, when compared to the participants under 60 years old in Group 1 (pro-inflammatory diet + insufficient VPA). Conversely, a significantly increased PhenoAgeAccel was exhibited by Group 2 (pr...