Evidence map›Paper›PMID 33801213›Full record

ArticleInternational journal of environmental research and public health2021

Utilizing a Novel 2D Image Processing System for Relating Body Composition Metrics to Performance in Collegiate Female Rowers.

Michael R Esco, Clifton J Holmes, Katherine Sullivan, Bjoern Hornikel, Michael V Fedewa

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2021. 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
0.9field-weighted citation impact, top 32% 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, 7 citations in OpenAlex.

  1. Article
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

5 authors at 1 institution in 1 country.

Michael R EscoExercise Physiology Laboratory, Department of Kinesiology, University of Alabama, Tuscaloosa, AL 35487, USA.
Clifton J HolmesExercise Physiology Laboratory, Department of Kinesiology, University of Alabama, Tuscaloosa, AL 35487, USA.
Katherine SullivanExercise Physiology Laboratory, Department of Kinesiology, University of Alabama, Tuscaloosa, AL 35487, USA.ORCID 0000-0003-1611-1306
Bjoern HornikelExercise Physiology Laboratory, Department of Kinesiology, University of Alabama, Tuscaloosa, AL 35487, USA.
Michael V FedewaExercise Physiology Laboratory, Department of Kinesiology, University of Alabama, Tuscaloosa, AL 35487, USA.
University of Alabama · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to determine if rowing performance was associated with fat mass (FM) or fat-free mass (FFM) measured using a novel 2D digital image analysis system. Nineteen female rowers (ages = 20.3 ± 1.0 years, weight = 73.8 ± 8.3 kg, height = 172.7 ± 4.7 cm) participated in this study. FM and FFM were estimated with a smartphone application that uses an automated 2D image analysis program. Rowing performance was measured using a 2 km (2k) timed trial on an indoor ergometer. The average speed of the timed trial was recorded in raw units (m·s

Indexed as

Water SportsAdultAthletesBody CompositionBody Mass IndexErgometryFemaleHumansYoung Adultbody fatfat-free massfat massfemale athletesrowingtechnology

Identifiers

PMID33801213
PMCPMC7967774
OpenAlexW3134607774

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.