Evidence map›Paper›PMID 42287050›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2026

[Association between wearable-derived physical activity patterns and gut microbiota in older adults].

Jiaqi Gao, Wenpeng Li, Xiaoyi Li, Yinxi Tan, Yixin Li, Liping Duan, Tao Wu, Dafang Chen, Yonghua Hu, Mengying Wang

Abstract readEnglish Abstract
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jiaqi GaoDepartment of Nutrition and Food Hygiene, Peking University School of Public Health, Beijing 100191, China.
Wenpeng LiDepartment of Nutrition and Food Hygiene, Peking University School of Public Health, Beijing 100191, China.
Xiaoyi LiDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Yinxi TanDepartment of Nutrition and Food Hygiene, Peking University School of Public Health, Beijing 100191, China.
Yixin LiDepartment of Nutrition and Food Hygiene, Peking University School of Public Health, Beijing 100191, China.
Liping DuanDepartment of Gastroenterology, Peking University Third Hospital, Beijing 100191, China.
Tao WuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Dafang ChenDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Yonghua HuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Mengying WangDepartment of Nutrition and Food Hygiene, Peking University School of Public Health, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify real-world physical activity patterns in older adults using objective measurements from wearable devices, and to analyze the associations between these patterns and gut microbiota composition.

methodsBased on data collected from a real-world health management project, a total of 743 participants from Eastern, Central, and Northern China were enrolled between January 2018 and June 2025. A 180-day objective physical activity dataset prior to fecal sampling was collected via smart wearable devices to extract features including mean daily steps, coefficient of variation of steps, and the proportion of active days. Fecal samples underwent 16S ribosomal RNA (rRNA) gene (V3-V4 region) amplicon sequencing to obtain genus-level relative abundance matrices. Covariates, including demographics, lifestyle, and chronic disease history, were collected via questionnaires and physical examinations. The discriminative dimensionality reduction via learning a tree (DDRTree) algorithm combined with K-means clustering was applied to identify physical activity phenotypes. Alpha diversity was evaluated using the Shannon index (Kruskal-Wallis test), and beta diversity was assessed using covariate-adjusted permutational multivariate analysis of variance (PERMANOVA) based on Bray-Curtis distance. Multivariable linear regression with false discovery rate (FDR) correction was used to screen differential taxa. A microbial risk score (MRS) was constructed based on taxa with a raw

resultsThe cohort comprised 381 (51.3%) individuals aged 60-74 years and 362 (48. 7%) aged ≥75 years. Compared with the 60-74 group, the ≥75 group had higher prevalences of hypertension (45.9%

conclusionPhysical activity patterns identified from wearable device data are associated with gut microbiota composition and ecological network characteristics in older adults. Active and regular physical activity patterns indicate a higher MRS and more stable microbial co-occurrence networks, suggesting potential associations between activity regularity and gut microbial ecology, though causal inference requires longitudinal confirmation.

Indexed as

ExerciseGastrointestinal MicrobiomeWearable Electronic DevicesAgedChinaFecesFemaleHumansMaleRNA, Ribosomal, 16SRNA, Ribosomal, 16SGastrointestinal microbiomeMicrobial risk scoreOlder adultsPhysical activity patternsWearable electronic devices

Identifiers

PMID42287050
PMCPMC13268817

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