Evidence map›Paper›PMID 40757531›Full record

ArticleMuscles (Basel, Switzerland)2023

The Correlation between Core Muscular Endurance, Body Composition, and Back Pain in Firefighters: An Observational Study.

Shelby Sanregret, Austin Alan Kohler, Andrew Ray Moore, Angelia Maleah Holland-Winkler

Abstract read
In one paragraph

Article in Muscles (Basel, Switzerland), 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
–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

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.

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

4 authors.

Shelby SanregretDepartment of Kinesiology, Augusta University, Augusta, GA 30909, USA.
Austin Alan KohlerDepartment of Kinesiology, Augusta University, Augusta, GA 30909, USA.ORCID 0000-0002-0755-698X
Andrew Ray MooreDepartment of Kinesiology, Augusta University, Augusta, GA 30909, USA.ORCID 0000-0002-7021-0383
Angelia Maleah Holland-WinklerDepartment of Kinesiology, Augusta University, Augusta, GA 30909, USA.ORCID 0000-0003-2676-284X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Firefighters are at a higher risk for experiencing back pain due to the nature of their job, but physical fitness may help to reduce this risk. Therefore, the primary purpose of this study was to determine if a correlation between subjective back pain severity and core muscular endurance exists in firefighters. A secondary purpose was to determine if age or body composition were correlated with back pain severity. This cross-sectional study was performed at a fire department during their Physical Fitness Assessment Program and included 72 male firefighters. Measures included weight, body fat percentage, maximal plank hold times for core muscular endurance, and the Oswestry Low Back Pain Disability Questionnaire. A Pearson product correlation analysis was performed between back pain score and each of the following variables: body fat percentage, BMI, age, and plank hold times. A second set of correlation coefficient analyses was performed between the same variables exclusively in subjects who reported back pain. This study found that, within this population of firefighters, there was no significant correlation between back pain and plank times or body composition variables, although there was a trend toward significant correlations between BMI and body fat percentage when only subjects with back pain were considered.

Indexed as

ageback painbody fat percentagebody mass indexcore muscular endurancefirefightersphysical fitnessplank

Identifiers

PMID40757531
PMCPMC12225447

What OpenQuestion holds

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LicenceCC BY
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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.