Evidence map›Paper›PMID 40276583›Full record

ArticleJournal of exercise science and fitness2024

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

Dongzhe Wu, Peng Huang, Xue Geng, Chaoyi Qu, Zhijian Rao, Jianhong Zhang, Yulin Shen, Qiangman Wei, Shijie Liu, Jiexiu Zhao

Abstract read
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In one paragraph

Article in Journal of exercise science and fitness, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Dongzhe WuExercise Biological Center, China Institute of Sport Science, Beijing, China.
Peng HuangSchool of Exercise and Health, Shanghai University of Sport, Shanghai, China.
Xue GengDepartment of Exercise Physiology, Beijing Sport University, Beijing, China.
Chaoyi QuPhysical Education College, Hebei Normal University, Shijiazhuang, China.
Zhijian RaoCollege of Physical Education, Shanghai Normal University, Shanghai, China.
Jianhong ZhangDepartment of Exercise Physiology, Beijing Sport University, Beijing, China.
Yulin ShenExercise Biological Center, China Institute of Sport Science, Beijing, China.
Qiangman WeiExercise Biological Center, China Institute of Sport Science, Beijing, China.
Shijie LiuExercise Biological Center, China Institute of Sport Science, Beijing, China.
Jiexiu ZhaoExercise Biological Center, China Institute of Sport Science, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Objectives: 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. Methods: 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. Results: Compared to individuals with no LTPA, those with inactive and regular LTPA patterns had significantly lower PhenoAgeAccel scores ( Conclusion: 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. These findings highlight the necessity of personalized physical activity recommendations and provide evidence for public health strategies to promote healthy aging.

Indexed as

Aging populationExercise patternsLeisure-time physical activityPhenotypic age acceleration

Identifiers

PMID40276583
PMCPMC12020996

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.