Evidence map›Paper›PMID 34177618›Full record

ArticleFrontiers in physiology2021

A Comparison of an Alternative Weight-Grading Model Against Chronological Age Group Model for the Grouping of Schoolboy Male Rugby Players.

Grégory Lentin, Sean Cumming, Julien Piscione, Patrick Pezery, Moez Bouchouicha, José Gadea, Jean-Jacques Raymond, Pascale Duché, Olivier Gavarry

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Article in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Review
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  3. Article
  4. Is Subjective Age Associated with Physical Fitness in Community-Dwelling Older Adults?International journal of environmental research and public health · 2022
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4 · The record

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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

9 authors.

Grégory LentinResearch Unit "Impact of Physical Activity on Health" (IAPS n° 201723207F), University of Toulon, Toulon, France.
Sean CummingDepartment of Health, University of Bath, Bath, United Kingdom.
Julien PiscioneDepartment of Performance, French Rugby Federation, Marcoussis, France.
Patrick PezeryResearch Unit "Impact of Physical Activity on Health" (IAPS n° 201723207F), University of Toulon, Toulon, France.
Moez BouchouichaUniversité de Toulon, Aix Marseille Univ, CNRS, LIS, Marseille, France.
José GadeaLigue Sud Provence-Alpes Côte d'Azur de Rugby, Le Pradet, France.
Jean-Jacques RaymondResearch Unit "Impact of Physical Activity on Health" (IAPS n° 201723207F), University of Toulon, Toulon, France.
Pascale DuchéResearch Unit "Impact of Physical Activity on Health" (IAPS n° 201723207F), University of Toulon, Toulon, France.
Olivier GavarryResearch Unit "Impact of Physical Activity on Health" (IAPS n° 201723207F), University of Toulon, Toulon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesConcerns regarding marked differences in the weights and body composition of young rugby players competing within the same age groups have led to the suggestion of alternative models for grouping young players. The aims of this study were (1) to compare variance in the body size and body composition of schoolboy rugby players (9 to 14 years), across weight- and age-grading models, and (2) to identify morphotypes for the weight model using Hattori's body composition chart. MATERIALS AND

methodsSkinfold thickness measurements were used to assess body fat mass (BF), fat-free mass (FFM), body fat mass index (BFMI), and fat-free mass index (FFMI). Standardized measure of height and weight were taken for all participants. Data were grouped according to the age categories of the French Rugby Federation (U11: Under 11 years, U13: Under 13 years, and U15: Under 15 years), and to the weight categories (W30-44.9; W45-59.9; and W60-79.9) carried out from 25th and 75th weight percentile in each age category. Body mass index status (NW normal-weight versus OW/OB overweight/obese) was considered. Extreme morphotypes are characterized from BFMI and FFMI in the weight-grading model on Hattori's body composition chart.

resultsThe dispersion of anthropometric characteristics decreased significantly for the weight model, except for height in all groups and BFMI for U13. Among NW, 3, 1.8, and 0% upgraded; 18.2, 68.7, and 45.5% downgraded; among OW, 50, 21.5, and 12.5%; and among OB, 91.3, 83.3, and 74.6% upgraded, respectively, in U11, U13, U15. FFMI/BFMI were correlated in U11 (

conclusionA weight-grading model should be considered to limit mismatches in anthropometric variables. However, variations of body composition also persisted for this model. Hattori's body composition chart allowed more detailed examination of morphological atypicalities among schoolboy rugby players.

Indexed as

gradinghealthobesityrugby unionschoolboy

Identifiers

PMID34177618
PMCPMC8223073

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