Evidence map›Paper›PMID 36278747›Full record

ArticleJournal of functional morphology and kinesiology2022

A New Strategy for Somatotype Assessment Using Bioimpedance Analysis: Stratification According to Sex.

Alexander Bertuccioli, Davide Sisti, Stefano Amatori, Fabrizio Perroni, Marco B L Rocchi, Piero Benelli, Athos Trecroci, Francesco Di Pierro, Tindaro Bongiovanni, Roberto Cannataro

Abstract read
In one paragraph

Article in Journal of functional morphology and kinesiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

10 authors.

Alexander BertuccioliDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy.ORCID 0000-0002-3922-9115
Davide SistiDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy.ORCID 0000-0002-7925-7495
Stefano AmatoriDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy.ORCID 0000-0001-7497-755X
Fabrizio PerroniDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy.ORCID 0000-0003-2094-4351
Marco B L RocchiDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy.ORCID 0000-0002-0056-5795
Piero BenelliDepartment of Biomolecular Sciences, University of Urbino Carlo Bo, 61029 Urbino, Italy.
Athos TrecrociDepartment of Biomedical Sciences for Health, University of Milan, 20126 Milan, Italy.ORCID 0000-0002-6080-5260
Francesco Di PierroDigestive Endoscopy Unit and Gastroenterology, Fondazione Poliambulanza, 25124 Brescia, Italy.ORCID 0000-0001-6654-8675
Tindaro BongiovanniDepartment of Biomedical Sciences for Health, University of Milan, 20126 Milan, Italy.
Roberto CannataroGalascreen Laboratories, University of Calabria, 87036 Rende, Italy.ORCID 0000-0002-1668-7690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body composition assessment is a relevant element in the biomedical field, in research and daily practice in the medical and nutritional fields, and in the management of athletes. This paper aimed to operate in an Italian sample investigating the possibility of predicting the somatotype from bioimpedance analysis and comparing the predicted results with those obtained from anthropometric measurements. This observational study was conducted with retrospective data collected from 2827 subjects. The somatotype of each subject was calculated both with the Heath−Carter method and by a multiple regression model based on bioimpedance and anthropometric parameters. Somatotypes (endomorph, mesomorph, and ectomorph) were predicted with a high goodness of fit (R2 adjusted > 0.80). Two different somatocharts were obtained from anthropometric measures and bioimpedance parameters and subsequentially compared. Bland−Altman plots showed acceptable accuracy. This study could be a first step in developing a new approach that allows the detection of a subject’s somatotype via bioimpedance analysis, stratified according to sex, with a time-saving and more standardized procedure. It would allow, for example, during the COVID-19 pandemic, to minimize operator−patient contact in having measurements.

Indexed as

bioimpedancebody compositionlinear modelssomatotypes

Identifiers

PMID36278747
PMCPMC9590076

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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.