Evidence map›Paper›PMID 34437373›Full record

ArticleSports (Basel, Switzerland)2021

Offseason Body Composition Changes Detected by Dual-Energy X-ray Absorptiometry versus Multifrequency Bioelectrical Impedance Analysis in Collegiate American Football Athletes.

Jake R Boykin, Grant M Tinsley, Christine M Harrison, Jessica Prather, Javier Zaragoza, Matthias Tinnin, Shay Smith, Camden Wilson, Lem W Taylor

Open access · goldAbstract read
In one paragraph

Article in Sports (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

5 citing papers in PubMed, 2 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Jake R BoykinEnergy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX 79409, USA.
Grant M TinsleyEnergy Balance & Body Composition Laboratory, Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX 79409, USA.ORCID 0000-0002-0230-6586
Christine M HarrisonHuman Performance Laboratory, School of Exercise & Sport Science, University of Mary Hardin-Baylor, Belton, TX 76513, USA.
Jessica PratherHuman Performance Laboratory, School of Exercise & Sport Science, University of Mary Hardin-Baylor, Belton, TX 76513, USA.
Javier ZaragozaSchool of Kinesiology, Applied Health and Recreation, Oklahoma State University, Stillwater, OK 74078, USA.ORCID 0000-0002-6518-1709
Matthias TinninHuman Performance Laboratory, School of Exercise & Sport Science, University of Mary Hardin-Baylor, Belton, TX 76513, USA.
Shay SmithHuman Performance Laboratory, School of Exercise & Sport Science, University of Mary Hardin-Baylor, Belton, TX 76513, USA.
Camden WilsonHuman Performance Laboratory, School of Exercise & Sport Science, University of Mary Hardin-Baylor, Belton, TX 76513, USA.
Lem W TaylorHuman Performance Laboratory, School of Exercise & Sport Science, University of Mary Hardin-Baylor, Belton, TX 76513, USA.ORCID 0000-0003-4694-4712
University of Mary Hardin–Baylor · USTexas Tech University · USOklahoma State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tracking changes in body composition may provide key information about the effectiveness of training programs for athletes. This study reports on the agreement between bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA) for tracking body composition changes during a seven-week offseason training program in 29 NCAA collegiate American football players. Body composition in subjects (mean ± SD; age: 19.7 ± 1.5 y; height: 179.8 ± 6.6 cm; body mass (BM: 96.1 ± 12.6 kg; DXA body fat: 20.9 ± 4.4%) was estimated using BIA (InBody 770) and DXA (Hologic Horizon) before and after the training intervention. Repeated measures ANOVA and post hoc comparisons were performed. Longitudinal agreement between methods was also examined by concordance correlation coefficient (CCC) and Bland-Altman analysis alongside linear regression to identify bias. Significant method by time interactions were observed for BM (DXA: 1.1 ± 2.4 kg; BIA: 1.4 ± 2.5 kg;

Indexed as

BIAbody fatbody fat percentageDXAfat-free massfat-free mass index

Identifiers

PMID34437373
PMCPMC8402408
OpenAlexW3153618974

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.