Evidence map›Paper›PMID 37123458›Full record

ArticleInternational journal of exercise science2023

Anthropometric Predictors of Conventional Deadlift Kinematics and Kinetics: A Preliminary Study.

Dale S Keith, Daniel Scherrer, Brandon Nunley, Jake R Boykin, Jacob J Green, Madelin R Siedler, Christian Rodriguez, Patrick S Harty, Matthew T Stratton, John R Harry and 1 more

Abstract read
In one paragraph

Article in International journal of exercise science, 2023. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Dale S KeithDepartment of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA.
Daniel ScherrerDepartment of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA.
Brandon NunleyDepartment of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA.
Jake R BoykinDepartment of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA.
Jacob J GreenDepartment of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA.
Madelin R SiedlerDepartment of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA.
Christian RodriguezDepartment of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA.
Patrick S HartyDepartment of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA.
Matthew T StrattonDepartment of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA.
John R HarryDepartment of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA.
Grant M TinsleyDepartment of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this preliminary analysis was to determine if there are relationships between anthropometric characteristics (arm length, torso length, thigh length, and shank length) and conventional deadlift (CDL) kinematics and kinetics during a 5 sets of 5 repetitions (5 × 5) CDL routine in resistance-trained males. Eleven males who had experience with the deadlift exercise were included in this analysis (age: 21.5 ± 1.4 y; height: 180.7 ± 5.7 cm; body mass: 89.9 ± 16.0 kg). Anthropometrics were measured by a 3-dimensional optical scanner. The participants underwent a 5 × 5 CDL workout using a self-selected load corresponding to a rating of perceived exertion (RPE) of 8 out of 10. Performance outcomes were measured synchronously using a 3-dimensional 12-camera motion capture system and two force platforms. Outcomes were averaged across all sets and analyzed using multiple linear regression. The selected anthropometric variables were not significantly related to the CDL performance outcomes, except for concentric ankle work. However, in the overall model, anthropometric predictors did not significantly predict ankle concentric work (

Indexed as

barbell velocityBiomechanicsground reaction forcelower body workrate of force development

Identifiers

PMID37123458
PMCPMC10128119

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.