Evidence map›Paper›PMID 36582395›Full record

ArticleInternational journal of exercise science2022

Longitudinal Changes in Fat and Lean Mass: Comparisons between 3D-Infrared and Dual-Energy X-ray Absorptiometry Scans in Athletes.

Matthew Vansumeren, Spencer Weber, Justin Civelek, Jordan Sabourin, Valerie Smith-Hale, Tamara Hew-Butler

Open access · diamondAbstract read
In one paragraph

Article in International journal of exercise science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

6 authors at 2 institutions in 1 country.

Matthew VansumerenExercise and Sport Science Program, College of Education, Wayne State University, Detroit, MI, USA.
Spencer WeberExercise and Sport Science Program, College of Education, Wayne State University, Detroit, MI, USA.
Justin CivelekExercise and Sport Science Program, College of Education, Wayne State University, Detroit, MI, USA.
Jordan SabourinExercise and Sport Science Program, College of Education, Wayne State University, Detroit, MI, USA.
Valerie Smith-HaleExercise and Sport Science Program, College of Education, Wayne State University, Detroit, MI, USA.
Tamara Hew-ButlerExercise and Sport Science Program, College of Education, Wayne State University, Detroit, MI, USA.
California State University, Fullerton · USOklahoma State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The low cost and portability of three-dimensional (3D) infrared body scanners make them an attractive tool for body composition measurement in athletes. The main purpose of this study was to compare total body fat percentage (BF%) and total lean mass (LM in kg), in a cohort of collegiate athletes, using a 3D infrared body scanner versus a dual energy x-ray absorptiometry (DXA) scanner. Phase I was a pre-season cross-sectional analysis of 61 (39 male) athletes while Phase II was a longitudinal subset analysis of 38 (27 male) student-athletes who returned to the laboratory for post-season scans (Post minus pre-season change). Both the 3D and DXA scans were performed within 20-minutes of one another in the same room, wearing the same clothing. Paired t-tests were used to compare the mean values (BF% and LM) between measurement devices with estimated effects size calculated using Cohen's

Indexed as

body compositioncollegiate athleteNaked™ scanner

Identifiers

PMID36582395
PMCPMC9762159
OpenAlexW4313340084

What OpenQuestion holds

Textmetadata
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.