Nonlinear associations between MET and biological age based on restricted cubic spline models.

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posted on 2025-05-07, 20:03 authored by Guang Chen, Shichen Zhou, Yunqing Xun, Tung Leong Fong, Guoyi Tang, Jingyi Wang, Hongzheng Li, Xiangjun Yin, Jialiang Gao, Guanghui Zhu, Ying Wu, Jinlin Li, Ya Xuan Sun, Yige Li, Jiayan Zhou, Yibin Feng

The cubic spline models also adjusted for gender, race, BMI, sleep disorder, smoking, alcohol intake, and history of cancer. The solid blue line represents the smooth curve fit between dependent and independent variables. The grew bands represent the 95% confidence interval from the fit. (A) PhenoAge; (B) ENABL Age.

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minutes per week cubic spline model 5 &# 8211 2007 &# 8211 promoting healthy ageing healthy ageing management accelerated ageing compared seven survey cycles nutrition examination survey world health organization significant risk factor generalized linear regression 600 met minutes 259 met minutes promoting physical exercise physical activity levels delayed biological ageing hispanic black individuals 1 &# 8211 enabl age algorithms daily caffeine intake appropriate met levels weekly physical exercise xlink "> ageing md ]: 2 2 phenoage years enabl age ).physical exercise biological ageing xlink ">weekly exercise enabl age caffeine intake met levels ageing purpose survey data national health linear relationships higher risk higher levels caffeine consumption 05 ).met level met increase year delay test correlations study aimed stronger effects shaped association sectional analysis results underscore related diseases mean difference joint association income populations findings highlight diminishing benefits confounding factors assessed using analyzed data 739 participants

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Nonlinear associations between MET and biological age based on restricted cubic spline models.

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