Dose-response relationship between leisure-time physical activity patterns and phenotypic age acceleration in American adults: A cross-sectional analysis

With the accelerating global population aging, delaying aging and promoting healthy aging have become focal points in public health and clinical medicine. Phenotypic age acceleration (PhenoAgeAccel) is an important indicator of biological aging speed. This study aims to explore the relationship betw...

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Published in:Journal of exercise science and fitness 2024-10, Vol.22 (4), p.445-455
Main Authors: Wu, Dongzhe, Huang, Peng, Geng, Xue, Qu, Chaoyi, Rao, Zhijian, Zhang, Jianhong, Shen, Yulin, Wei, Qiangman, Liu, Shijie, Zhao, Jiexiu
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Language:English
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Aging population
Exercise patterns
Leisure-time physical activity
Phenotypic age acceleration
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container_title Journal of exercise science and fitness
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creator Wu, Dongzhe
Huang, Peng
Geng, Xue
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Zhang, Jianhong
Shen, Yulin
Wei, Qiangman
Liu, Shijie
Zhao, Jiexiu
description With the accelerating global population aging, delaying aging and promoting healthy aging have become focal points in public health and clinical medicine. Phenotypic age acceleration (PhenoAgeAccel) is an important indicator of biological aging speed. This study aims to explore the relationship between different leisure-time physical activity (LTPA) patterns and PhenoAgeAccel, analyzing the association and dose-response relationship. This study utilized data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, including 14,868 adults. Multivariable linear regression models and restricted cubic spline methods were used to assess the relationship between LTPA and PhenoAgeAccel, with segmented likelihood ratio tests to detect non-linear thresholds. Stratified regression and interaction tests explored potential modifications by sex, age, race, and socioeconomic status. Compared to individuals with no LTPA, those with inactive and regular LTPA patterns had significantly lower PhenoAgeAccel scores (P  0.05). A non-linear threshold effect was found; below 560 min of weekly LTPA, a significant negative correlation existed (β = −0.001, 95 % CI: 0.001 to −0.0003, P 
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Phenotypic age acceleration (PhenoAgeAccel) is an important indicator of biological aging speed. This study aims to explore the relationship between different leisure-time physical activity (LTPA) patterns and PhenoAgeAccel, analyzing the association and dose-response relationship. This study utilized data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, including 14,868 adults. Multivariable linear regression models and restricted cubic spline methods were used to assess the relationship between LTPA and PhenoAgeAccel, with segmented likelihood ratio tests to detect non-linear thresholds. Stratified regression and interaction tests explored potential modifications by sex, age, race, and socioeconomic status. Compared to individuals with no LTPA, those with inactive and regular LTPA patterns had significantly lower PhenoAgeAccel scores (P &lt; 0.05), while the weekend warrior pattern showed no significant effect (P &gt; 0.05). 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A non-linear threshold effect was found; below 560 min of weekly LTPA, a significant negative correlation existed (β = −0.001, 95 % CI: 0.001 to −0.0003, P &lt; 0.001). Above this threshold, LTPA was positively correlated with PhenoAgeAccel, indicating a risk for accelerated aging (β = 0.0003, 95 % CI: 0.00002 to 0.001, P = 0.03). Similar non-linear threshold effects were found for both males and females. Regular LTPA significantly reduces phenotypic age acceleration, with a non-linear threshold effect indicating moderate physical activity is most beneficial. The weekend warrior pattern was less effective. 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subjects Aging population
Exercise patterns
Leisure-time physical activity
Phenotypic age acceleration
title Dose-response relationship between leisure-time physical activity patterns and phenotypic age acceleration in American adults: A cross-sectional analysis
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