Evidence map›Paper›PMID 41209596›Full record

ArticleJournal of physical therapy science2025

Phase angle and trunk muscle mass as distinguishing factors between regular and non-regular players in amateur soccer teams.

Chiaki Matsumoto, Masahiro Ishizaka, Tatsuya Igawa, Masafumi Itokazu, Akihiro Ito

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2025. 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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0citing papers in PubMed
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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

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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

5 authors.

Chiaki MatsumotoDepartment of Physical Therapy, School of Health Sciences, International University of Health and Welfare: 2600-1 Kitakanemaru, Otawara-shi, Tochigi 324-8501, Japan.
Masahiro IshizakaDepartment of Physical Therapy, School of Health Sciences, International University of Health and Welfare: 2600-1 Kitakanemaru, Otawara-shi, Tochigi 324-8501, Japan.
Tatsuya IgawaDepartment of Physical Therapy, School of Health Sciences, International University of Health and Welfare: 2600-1 Kitakanemaru, Otawara-shi, Tochigi 324-8501, Japan.
Masafumi ItokazuDepartment of Physical Therapy, School of Health Sciences, International University of Health and Welfare: 2600-1 Kitakanemaru, Otawara-shi, Tochigi 324-8501, Japan.
Akihiro ItoDepartment of Physical Therapy, School of Health Sciences, International University of Health and Welfare: 2600-1 Kitakanemaru, Otawara-shi, Tochigi 324-8501, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] This study aimed to identify the body composition characteristics that differentiate regular and non-regular players in amateur soccer teams, thereby providing objective metrics for player selection and enhancing team performance. [Participants and Methods] A total of 147 male amateur soccer players (mean age 17.2 ± 4.9 years) were included and categorized as regular (n=68) or non-regular (n=79) players. Parameters of body composition including muscle mass and phase angle were measured using an InBody S10 analyzer. Groups were compared using unpaired t-tests and analysis of covariance adjusted for age, height, and weight. [Results] The regular players demonstrated significantly higher lean body mass, muscle mass, and phase angle. The trunk muscle mass and phase angle emerged as the key distinguishing variables. Logistic regression analysis revealed a significant association between phase angle and player regularity. [Conclusion] Trunk muscle mass and phase angle are effective indicators of regular player status. Phase angle, in particular, showed utility in objective player evaluations. These findings support the integration of trunk muscle mass and phase angle into the selection criteria and conditioning protocols for amateur soccer teams.

Indexed as

Muscle massPhase anglePlayer selection

Identifiers

PMID41209596
PMCPMC12592226

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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.