Evidence map›Paper›PMID 42111186›Full record

ArticleiScience2026

Does body composition influence air force pilots' resistance to high-G acceleration? A systematic review meta-analysis.

Kyu-Lim Lee, Ki-Jae Jeon, Dong-Ryul Lee, Younseok Choi, Jun-Young Sung

Abstract read
In one paragraph

Article in iScience, 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

5 authors.

Kyu-Lim LeeDivision in Anatomy and Developmental Biology, Department of Oral Biology, Human Identification Research Institute, BK21 FOUR Project, Yonsei University College of Dentistry, Seoul, Republic of Korea.
Ki-Jae JeonSports Management and Data Science, Sehan University, Dangjin-si, Chungcheongnam-do, Republic of Korea.
Dong-Ryul LeeKorea Coach Association for Strength & Conditioning, Seoul, Republic of Korea.
Younseok ChoiSchool of Space Engineering Sciences, Kyungpook National University (KNU), Daegu, Republic of Korea.
Jun-Young SungInstitute of Exercise Medicine and Science, Kwangwoon University, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how body composition relates to tolerance of high +Gz is important for sustaining Air Force pilot performance, yet prior studies report mixed results. This study synthesized evidence on whether differences in body composition are associated with pass/fail outcomes on G-tests in pilots and cadets. PubMed and the Cochrane Library were searched for studies published since 2014, with Google Scholar used to supplement retrieval; ten eligible articles were meta-analyzed. Using R, the authors estimated effect sizes, tested heterogeneity, explored sub-variables, and assessed publication bias. The pooled results indicated moderate associations for body mass index (BMI) (effect size 0.47) and small associations for body weight (0.26) and muscle mass (0.31) with G-test outcomes, with low-to-moderate heterogeneity across analyses. In contrast, physical fitness variables did not differ between pass and fail groups. These findings support incorporating body composition assessment into training and selection decisions, and motivate mechanistic research linking composition, physiological strain, and operational readiness.

Indexed as

Health sciencesMedicineMilitary medicineOccupational medicine

Identifiers

PMID42111186
PMCPMC13156597

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Registered trials

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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.