Cited by 98Gut microbiota and healthProbiotics and Fermented FoodsGastrointestinal motility and disorders

Effects of exercise on gut microbiota of adults: a systematic review and meta-analysis

Open access
Min, Leizi, Ablitip, Alimjan, Wang, Rui, Luciana, Torquati, Wei, Mengxian, Ma, Xindong·2024·Nutrients

Abstract

Background: The equilibrium between gut microbiota (GM) and the host plays a pivotal role in maintaining overall health, influencing various physiological and metabolic functions. Emerging research suggests that exercise modulates the abundance and functionality of gut bacteria, yet the comprehensive effects on GM diversity remain to be synthesized. Objectives and Design: The study aims to quantitatively examine the effect of exercise on the diversity of gut microbiota of adults using a systemic review and meta-analysis approach. Methods: PubMed, Ebsco, Embase, Web of Science, Cochrane Central Register of Controlled Trials, the China National Knowledge Infrastructure, and Wanfang Data were searched from their inception to September 2023. Exercise intervention studies with a control group that describe and compare the composition of GM in adults, using 16S rRNA gene sequencing, were included in this meta-analysis. Results: A total of 25 studies were included in this meta-analysis with a total of 1044 participants. Based on a fixed-effects model [Chi2 = 29.40, df = 20 (p = 0.08); I2 = 32%], the pooled analysis showed that compared with the control group, exercise intervention can significantly increase the alpha diversity of adult GM, using the Shannon index as an example [WMD = 0.05, 95% CI (0.00, 0.09); Z = 1.99 (p = 0.05)]. In addition, exercise interventions were found to significantly alter GM, notably decreasing Bacteroidetes and increasing Firmicutes, indicating a shift in the Firmicutes/Bacteroidetes ratio. The subgroup analysis indicates that females and older adults appear to exhibit more significant changes in the Shannon Index and observed OTUs. Conclusions: Exercise may be a promising way to improve GM in adults. In particular, the Shannon index was significantly increased after exercise. Distinct responses in GM diversity to exercise interventions based on gender and age implicated that more research was needed.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/nu16071070

Cites

61 of 61 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Lifestyle behaviors such as dietary habits, physical activity, and exposure to natural environments modulate the adult microbiome and thereby influence mental well-being.

    “In parallel, lifestyle behaviors such as dietary habits (Aslam et al., 2026), physical activity (Min et al., 2024), and exposure to natural environments (Zhang et al., 2024) act as powerful modulators of the adult microbiome, thereby influencing mental well-being.”

    From Psychobiotics in mental health: insights from human clinical trials via the gut-brain axis (2026) · cites this paper as Min et al., 2024

    The Discussion (§4.2 and §4.3; page not provided) associates physical activity with greater gut-microbiome diversity and differences in bacterial composition in adults. It does not establish that those microbiome changes influence adults’ mental well-being; its discussion of emotional regulation concerns a bacterial genus and depression in mice. The other lifestyle behaviors in the citing sentence have separate citations and are not assessed here. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

1 of the 62 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Min, L., Ablitip, A., Wang, R., Luciana, T., Wei, M., & Ma, X.
Affiliations
  • Tsinghua University (CN)
  • Department of Public Health and Sport Sciences, Medical School, University of Exeter, Exeter EX1 2HZ, UK
Corresponding author
Ma, Xindong
Venue
Nutrients
Publisher
MDPI AG
Published
2024-04-05
Volume
16
Issue
7
Pages
1070
ISSN
2072-6643 (ISSN-L)
OpenAlex
W4393994401
Cited by
98
References
62
Citations by year
2026: 50 · 2025: 37 · 2024: 11
FWCI
4.01
Type
journal article
Language
en
Open access
Locations
  • Nutrients (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Figshare (submittedVersion, cc-by)
  • Open Research Exeter (University of Exeter) (submittedVersion, cc-by)
Funders
Tsinghua University
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
  • Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
Keywords
physical activity, gut microbiota, microbial diversity, alpha diversity, Firmicutes/Bacteroidetes ratio, Bacteroidetes, Firmicutes, adults, sex differences, age differences, Shannon diversity index
MeSH terms
Gastrointestinal Microbiome, Adult, Aged, Bacteria, China, Female, Humans, Male, Middle Aged, RNA, Ribosomal, 16S, Exercise, Bacteroidetes

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review