Evidence map›Paper›PMID 42376573›Full record

ArticleFrontiers in microbiology2026

Factors affecting the gut microbiota of rural residents under different physical activity levels: a cross-sectional study.

Zhixing Peng, Fantao Fang, Yanyan Wang, Yonglin Chen, Keer Yang, Yishuo Zhang, Wenzhuo Wang, Biao Song, Weiwei Zhang, Xiaohui Hou and 1 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Zhixing Peng *Guangdong Key Laboratory of Human Sports Performance Science, School of Sports and Health, Guangzhou Sport University, Guangzhou, China.
Fantao Fang *Guangdong Key Laboratory of Human Sports Performance Science, School of Sports and Health, Guangzhou Sport University, Guangzhou, China.
Yanyan Wang *Guangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, China.
Yonglin ChenGuangdong Key Laboratory of Human Sports Performance Science, School of Sports and Health, Guangzhou Sport University, Guangzhou, China.
Keer YangGuangdong Key Laboratory of Human Sports Performance Science, School of Sports and Health, Guangzhou Sport University, Guangzhou, China.
Yishuo ZhangGuangdong Key Laboratory of Human Sports Performance Science, School of Sports and Health, Guangzhou Sport University, Guangzhou, China.
Wenzhuo WangGuangdong Key Laboratory of Human Sports Performance Science, School of Sports and Health, Guangzhou Sport University, Guangzhou, China.
Biao SongGuangdong Key Laboratory of Human Sports Performance Science, School of Sports and Health, Guangzhou Sport University, Guangzhou, China.
Weiwei ZhangGuangzhou Center for Disease Control and Prevention (Guangzhou Health Supervision Institute), Guangzhou, China.
Xiaohui HouGuangdong Key Laboratory of Human Sports Performance Science, School of Sports and Health, Guangzhou Sport University, Guangzhou, China.
Yu-Heng MaoGuangdong Key Laboratory of Human Sports Performance Science, School of Sports and Health, Guangzhou Sport University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Physical activity levels modulate the gut microbiota and thereby influence health status. However, few studies have focused on rural populations. This study aimed to identify the factors influencing the gut microbiota of rural residents under different physical activity levels. Methods: A total of 311 rural residents (range: 18-90 years) were included in this cross-sectional study. Physical activity levels were assessed using the International Physical Activity Questionnaire (IPAQ). Gut microbial composition was evaluated via 16S rRNA gene sequencing. Spearman's rank correlation coefficient was used to examine the associations between gut microbiota and physical activity level, age, Body mass index (BMI), and sex. Multiple regression analyses were also performed to further explore these associations. Results: Among the surveyed rural residents, 9.97% engaged in low-intensity physical activity, 23% in moderate-intensity physical activity, and 67% in high-intensity physical activity. Across different levels of physical activity, age was the most broadly influential variable affecting the microbiota. Sex and smoking/alcohol habits had significant effects on specific genera. BMI was positively correlated with Conclusion: Our study indicated that there were no differences in gut microbiota diversity across different physical activity levels, and only specific genera were associated with physical activity level. Age was the most important factor influencing the gut microbiota. In addition, sex, BMI, smoking, alcohol consumption, and pesticide exposure were also significantly associated with gut microbiota composition. However, the LPA group was composed predominantly of males (93.5%), and the effects observed in the LPA group were essentially limited to males.

Indexed as

BMIgut microbiotaphysical activityrural residentssex

Identifiers

PMID42376573
PMCPMC13311003

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.