Evidence map›Paper›PMID 41357170›Full record

ArticleFrontiers in physiology2025

Beyond somatotype categories: composition-based clustering of body types in young adults.

Francesco Campa, Jordan Moon, Cristian Petri, Fabrizio Spataro, Giulia Baroncini, Eleonora Faraone, Leonardo Ortenzi, Tindaro Bongiovanni, Sofia Serafini, Pascal Izzicupo

Abstract read
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Article in Frontiers in physiology, 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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1 · What the graph read from it

What it found

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2 · The registry

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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.

Francesco CampaDepartment of Biomedical Sciences, University of Padua, Padua, Italy.
Jordan MoonBody Quantification, Chicago, IL, United States.
Cristian PetriDepartment of Sports and Computer Science, Section of Physical Education and Sports, Universidad Pablo de Olavide, Seville, Spain.
Fabrizio SpataroSection of Clinical Nutrition and Nutrigenomics, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.
Giulia BaronciniMilan Lab Department, AC Milan, Milan, Italy.
Eleonora FaraoneDepartment of Science and Technology for Humans and the Environment, Università Campus Bio-Medico di Roma, Rome, Italy.
Leonardo OrtenziAurelia Swimming, Roma, Italy.
Tindaro BongiovanniDepartment of Biomedical and Neuromotor Sciences University of Bologna, Bologna, Italy.
Sofia SerafiniDepartment of Medicine and Aging Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.
Pascal IzzicupoDepartment of Medicine and Aging Sciences, "G. D'Annunzio" University of Chieti-Pescara, Chieti, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Somatotype analysis classifies individuals into 13 categories based on unique combinations of the three principal components: endomorphy, mesomorphy, and ectomorphy. This study aimed to examine sex-related differences and intra-category variability within somatotype classifications, and to characterize body composition patterns in the general population. Methods: Anthropometric data were collected from 185 males and 156 females aged 18-40 years to estimate somatotype, fat mass index (FMI), and skeletal muscle index (SMI). Sex differences were evaluated with Hotelling's T Results: Men exhibited an Endomorphic-Mesomorph somatotype, whereas women displayed an Mesomorph-Endomorph profile. Hotelling's T Conclusion: These findings highlight pronounced sex-related differences, considerable intra-category variability, and distinct body composition patterns across somatotypes in the general population. Notably, although individuals classified within the same somatotype can still present heterogeneous body shapes, the Endomorphic-Mesomorph profile distinctly characterizes males with moderate fat mass and higher muscle mass.

Indexed as

anthropometrybody compositionheath and carterISAKkinanthropometry

Identifiers

PMID41357170
PMCPMC12679298

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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.