Evidence map›Paper›PMID 38860209›Full record

ArticlePeerJ2024

Agreement and differences between the equations for estimating muscle and bone mass using the anthropometric method in recreational strength trainees.

Nicolás Baglietto, Mario Albaladejo-Saura, Francisco Esparza-Ros, Raquel Vaquero-Cristóbal

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Predicting Bone Mineral Content from Smartphone Digital Anthropometrics: Evaluation of an Existing Application and the Development of New Prediction Models.Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry
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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

4 authors.

Nicolás Baglietto *Sport Injury Prevention Group, International Chair of Kineanthropometry, UCAM Universidad Católica de Murcia, Murcia, Spain.
Mario Albaladejo-SauraSport Injury Prevention Group, International Chair of Kineanthropometry, UCAM Universidad Católica de Murcia, Murcia, Spain.ORCID 0000-0003-0234-7756
Francisco Esparza-RosSport Injury Prevention Group, International Chair of Kineanthropometry, UCAM Universidad Católica de Murcia, Murcia, Spain.ORCID 0000-0002-4519-1635
Raquel Vaquero-Cristóbal *Department of Physical Activity and Sport Sciences, Faculty of Sport Sciences, University of Murcia, San Javier, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The interest in estimating muscle mass (MM) and bone mass (BM) has grown in the sporting arena, and more specifically in recreational strength trainees, leading to the creation of different strategies to assess them. The aims were: 1) to investigate the agreement between different MM and BM formulas, and the muscle-bone index (MBI), and to establish the differences between them, in a healthy young adult population; and 2) to analyze if there are differences between males and females in the comparison of MM, BM and MBI formulas. Methods: This study followed a descriptive cross-sectional design. A total of 130 adult active recreational strength trainees were evaluated according to the procedures described by the International Society for the Advancement in Kinanthropometry (ISAK). Estimations were made in kilograms of MM and BM by following the equations by different authors. Results: The results showed significant differences between the values obtained by all the MM and BM formulas in the general sample ( Conclusions: In general, differences were found between the values reported by the MM and BM formulas in recreational strength trainees, without an agreement between them. Sex was shown to significantly influence the differences found. The practical implications are that when comparing an individual with reference tables, other studies, or if analyzing an individual's evolution, the same estimation equation should be used, as they are not interchangeable.

Indexed as

AnthropometryMuscle, SkeletalAdultBody CompositionBone DensityCross-Sectional StudiesFemaleHumansMaleMuscle StrengthSex FactorsYoung AdultAnthropometryBody compositionBoneHealthMusclePerformance

Identifiers

PMID38860209
PMCPMC11164060

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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.