Evidence map›Paper›PMID 36834149›Full record

ArticleInternational journal of environmental research and public health2023

Design of a Computer Model for the Identification of Adolescent Swimmers at Risk of Low BMD.

Jorge Marin-Puyalto, Alba Gomez-Cabello, Alejandro Gomez-Bruton, Angel Matute-Llorente, Sergio Castillo-Bernad, Gabriel Lozano-Berges, Alejandro Gonzalez-Agüero, Jose A Casajus, German Vicente-Rodriguez

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. 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
0.2field-weighted citation impact, top 51% of its field
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, 1 citations in OpenAlex.

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

9 authors at 1 institution in 1 country.

Jorge Marin-PuyaltoGENUD "Growth, Exercise, Nutrition and Development" Research Group, Universidad de Zaragoza, 50009 Zaragoza, Spain.
Alba Gomez-CabelloGENUD "Growth, Exercise, Nutrition and Development" Research Group, Universidad de Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0001-6492-2512
Alejandro Gomez-BrutonGENUD "Growth, Exercise, Nutrition and Development" Research Group, Universidad de Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0002-0520-1640
Angel Matute-LlorenteGENUD "Growth, Exercise, Nutrition and Development" Research Group, Universidad de Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0001-8500-1667
Sergio Castillo-BernadDepartment of Physiatry and Nursing, Faculty of Health and Sport Sciences (FCSD), Universidad de Zaragoza, 22001 Huesca, Spain.
Gabriel Lozano-BergesGENUD "Growth, Exercise, Nutrition and Development" Research Group, Universidad de Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0002-0137-9900
Alejandro Gonzalez-AgüeroGENUD "Growth, Exercise, Nutrition and Development" Research Group, Universidad de Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0002-1132-5906
Jose A CasajusGENUD "Growth, Exercise, Nutrition and Development" Research Group, Universidad de Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0002-7215-6931
German Vicente-RodriguezGENUD "Growth, Exercise, Nutrition and Development" Research Group, Universidad de Zaragoza, 50009 Zaragoza, Spain.ORCID 0000-0002-4303-4097
Universidad de Zaragoza · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper aims to elaborate a decision tree for the early detection of adolescent swimmers at risk of presenting low bone mineral density (BMD), based on easily measurable fitness and performance variables. The BMD of 78 adolescent swimmers was determined using dual-energy X-ray absorptiometry (DXA) scans at the hip and subtotal body. The participants also underwent physical fitness (muscular strength, speed, and cardiovascular endurance) and swimming performance assessments. A gradient-boosting machine regression tree was built to predict the BMD of the swimmers and to further develop a simpler individual decision tree. The predicted BMD was strongly correlated with the actual BMD values obtained from the DXA (r = 0.960,

Indexed as

Bone DensityBone Diseases, MetabolicAbsorptiometry, PhotonAdolescentBody CompositionComputer SimulationHand StrengthHumansLumbar VertebraeSwimmingdecision treeosteoporosis preventionphysical fitnessscreening

Identifiers

PMID36834149
PMCPMC9964481
OpenAlexW4321104195

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.