Evidence map›Paper›PMID 36895847›Full record

ArticleInternational journal of exercise science2022

Analysis of Total and Segmental Body Composition Relative to Fitness Performance Measures in Law Enforcement Recruits.

Kyle S Collins, Bryan K Christensen, Robin M Orr, Joseph M Dulla, J Jay Dawes, Robert G Lockie

Abstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Justified Concerns? An Exploration of the Leg Tuck in a Tactical Population.International journal of environmental research and public health · 2022
    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

6 authors.

Kyle S CollinsDepartment of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Bryan K ChristensenDepartment of Health, Nutrition, and Exercise Sciences, North Dakota State University, Fargo, ND, USA.
Robin M OrrTactical Research Unit, Bond University, Robina, QLD, AUS.
Joseph M DullaTactical Research Unit, Bond University, Robina, QLD, AUS.
J Jay DawesSchool of Kinesiology, Applied Health and Recreation, Oklahoma State University, Stillwater, OK, USA.
Robert G LockieCenter for Sport Performance, Department of Kinesiology, California State University, Fullerton, Fullerton, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Law enforcement agencies often test the fitness performance and body composition of incoming recruits. This study investigated the relationships between whole and segmental body composition, and fitness tests in law enforcement recruits. A retrospective analysis of 72 male and 11 female recruits was performed. Bioelectrical impedance analysis (BIA) variables were: lean mass (LM), upper-extremity lean mass (UELM), trunk LM, lower-extremity lean mass (LELM), fat mass (FM), upper-extremity fat mass (UEFM), trunk FM, and lower-extremity fat mass (LEFM). Fitness tests included: vertical jump (VJ), peak anaerobic power (PAPw), 75-yard pursuit run (75PR), push-ups, sit-ups, 2-kg medicine ball throw (MBT), and the multi-stage fitness test (MSFT). Partial correlations and ANCOVAs between quartiles assessed relationships between body composition and performance. Significant moderate-to-large relationships were found; LM, UELM, trunk LM, LELM all related to PAPw (

Indexed as

Fat-free massfitnesslean body masspolice officertraineework capacity

Identifiers

PMID36895847
PMCPMC9987440

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.