Evidence map›Paper›PMID 30544822›Full record

ArticleSports (Basel, Switzerland)2018

Fat-Free Mass and the Balance Error Scoring System Predict an Appropriate Maximal Load in the Unilateral Farmer's Walk.

Michael E Holmstrup, Michael A Kelley, Kyla R Calhoun, Caleb L Kiess

Open access · goldAbstract read
In one paragraph

Article in Sports (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Michael E HolmstrupDepartment of Exercise and Rehabilitative Sciences, Slippery Rock University, 337 Patterson Hall, Slippery Rock, PA 16057, USA. michael.holmstrup@sru.edu.
Michael A KelleyDepartment of Exercise and Rehabilitative Sciences, Slippery Rock University, 337 Patterson Hall, Slippery Rock, PA 16057, USA. mak101923@gmail.com.
Kyla R CalhounDepartment of Exercise and Rehabilitative Sciences, Slippery Rock University, 337 Patterson Hall, Slippery Rock, PA 16057, USA. krc1008@sru.edu.
Caleb L KiessDepartment of Exercise and Rehabilitative Sciences, Slippery Rock University, 337 Patterson Hall, Slippery Rock, PA 16057, USA. clk1010@sru.edu.
Slippery Rock University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study quantified and compared unilateral farmer's walk (UFW) performance in recreationally active males and females, and determined if additional variables allowed for the prediction of a maximal safe load. Anthropometric (height, body weight (BW), body mass index, body fat percentage, fat-free mass (FFM), and fat mass), muscular endurance (maximal duration side bridge), and balance (Balance Error Scoring System (BESS)) tests were completed. Participants performed a series of 20 s UFW trials (non-dominant side) at a cadence of 66 beats/min. The initial load was 10% of BW and increased by 10% per trial until deviations in spinal alignment or compromised gait patterns were noted, and the series was terminated. The highest load carried before technical failure was recorded. Descriptive and comparative statistics and a stepwise linear regression analysis were utilized to determine relationships between UFW performance and anthropometric, muscular endurance, and balance tests. Males (N = 25) were significantly taller (177.3 ± 6.7 vs. 164.7 ± 7.2 cm,

Indexed as

asymmetricalbalancebody compositionloaded carryingregression

Identifiers

PMID30544822
PMCPMC6315369
OpenAlexW2904753659

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.