Evidence map›Paper›PMID 40421454›Full record

ArticleFrontiers in physiology2025

Impact of intermittent fasting on physical activity: a national survey of Chinese residents aged 18-80 years.

Feiying He, Shiyu Bai, Xiangchun Xu, Jingqiao Miao, Hongwen Yu, Jiale Qiu, Yibo Wu, Yangdong Fan, Lei Shi

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Feiying He *School of Health Management, Southern Medical University, Guangzhou, Guangdong, China.
Shiyu Bai *School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.
Xiangchun Xu *Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
Jingqiao MiaoSchool of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Hongwen YuSchool of Stomatology, Southern Medical University, Guangzhou, Guangdong, China.
Jiale QiuSchool of Public Health, Southern Medical University, Guangzhou, Guangdong, China.
Yibo WuSchool of Public Health, Peking University, Beijing, China.
Yangdong FanSchool of Health Management, Southern Medical University, Guangzhou, Guangdong, China.
Lei ShiSchool of Health Management, Guangzhou Medical University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aims to investigate the prevalence of intermittent fasting (IF) among Chinese residents aged 18-80 and assess its impact on physical activity (PA) levels. Methods: Data were sourced from the Psychology and Behavior Investigation of Chinese Residents, a nationally representative cross-sectional survey conducted between June 20 and 31 August 2022. A multistage stratified cluster sampling method was used. Propensity score matching (PSM) was applied to compare PA levels between individuals practicing IF and those not practicing it. Multiple logistic regression and subgroup analysis were performed to explore associations between PA levels and relevant factors. Results: IF was practiced by 9.78% of participants, with the highest prevalence (70.78%) among those aged 18-34. While there were no significant differences in baseline characteristics between the IF and non-IF groups, sleep duration differed. IF was significantly associated with reduced PA levels (OR = 0.769, 95%CI: 0.657-0.900), and subgroup analysis highlighted the effect of sleep patterns on PA. Conclusion: IF is common among younger Chinese residents and correlates with lower PA levels, indicating a potential need for individualized health guidance to balance dietary strategies with PA.

Indexed as

Chinahealth managementintermittent fastingmultiple logistic regressionphysical activity

Identifiers

PMID40421454
PMCPMC12105048

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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.