Evidence map›Paper›PMID 38888088›Full record

Trial reportPhysiological reports2024

Effect of resistance training and chicken meat on muscle strength and mass and the gut microbiome of older women: A randomized controlled trial.

Masataka Uchida, Jonguk Park, Shumpei Fujie, Koji Hosomi, Naoki Horii, Kohei Watanabe, Kiyoshi Sanada, Yasushi Shinohara, Kenji Mizuguchi, Jun Kunisawa and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Physiological reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Review
  7. Review
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

12 authors.

Masataka UchidaFaculty of Sport and Health Science, Ritsumeikan University, Kusatsu, Japan.ORCID 0009-0002-8670-2953
Jonguk ParkArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Shumpei FujieFaculty of Sport and Health Science, Ritsumeikan University, Kusatsu, Japan.
Koji HosomiLaboratory of Vaccine Materials and Laboratory of Gut Environmental System, Microbial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Naoki HoriiFaculty of Sport and Health Science, Ritsumeikan University, Kusatsu, Japan.
Kohei WatanabeLaboratory of Neuromuscular Biomechanics, School of Health and Sport Sciences, Chukyo University, Toyota, Japan.
Kiyoshi SanadaFaculty of Sport and Health Science, Ritsumeikan University, Kusatsu, Japan.
Yasushi ShinoharaFaculty of Sport and Health Science, Ritsumeikan University, Kusatsu, Japan.
Kenji MizuguchiArtificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Jun KunisawaLaboratory of Vaccine Materials and Laboratory of Gut Environmental System, Microbial Research Center for Health and Medicine, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Motoyuki IemitsuFaculty of Sport and Health Science, Ritsumeikan University, Kusatsu, Japan.
Motohiko MiyachiFaculty of Sport Sciences, Waseda University, Saitama, Japan.ORCID 0000-0002-1146-0905

Funding

Ito Foundation #134Japan Agency for Medical Research and Development (AMED) 22ae0121035s0102Japan Agency for Medical Research and Development (AMED) 22ae0121042h0002Ministry of Education, Culture, Sports, Science and Technology (MEXT) #16K00944Ministry of Education, Culture, Sports, Science and Technology (MEXT) #20H04117Ministry of Education, Culture, Sports, Science and Technology (MEXT) #22H03487Ministry of Health, Labour and Welfare (MHLW) #201709002BPrograms for Bridging the gap between R&D and the IDeal society (society 5.0) and Generating Economic and social value: BRiDGE J. Kunisawathe Ministry of Health and Welfare of Japan and Public /Private R&D Investment Strategic Expansion PrograM 20AC5004
6 · The paper itself

Abstract

This study investigated the effects of white meat, such as chicken, intake combined with resistance training on muscle mass and strength in the elderly women, and whether the underlying mechanism involves changes in the gut microbiota. Ninety-three volunteers (age 59-79 years) were randomly allocated to sedentary control with placebo (Sed + PL) or chicken meat (Sed + HP) and resistance training with placebo (RT + PL) or chicken meat (RT + HP). Resistance training sessions were performed 3 d/week for 12 weeks using leg extensions and curls. Boiled chicken meat (110 g, containing 22.5 g protein) was ingested 3 d/week for 12 weeks. Maximal muscle strength and whole-body lean mass increased significantly in the RT + PL group compared to the Sed + HP group, and the RT + HP group showed a significantly greater increase than the Sed + HP and RT + PL groups. Additionally, the gut microbiota composition did not change before or after the interventions in any of the four groups. Moreover, the individual comparison of gut bacteria using false discovery rate-based statistical analysis showed no alterations before or after the interventions in the four groups. Resistance training combined with chicken meat intake may effective have increased muscle mass and strength without drastically modifying the gut microbiota composition in elderly women.

Indexed as

ChickensGastrointestinal MicrobiomeMeatMuscle, SkeletalMuscle StrengthResistance TrainingAgedAnimalsFemaleHumansMiddle Agedagingchronic resistance exercisegut bacteriamuscle massmuscle strength

Identifiers

PMID38888088
PMCPMC11184365

What OpenQuestion holds

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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 OpenQuestion graph.