» Articles » PMID: 24962299

The Predictive Value of General Movement Tasks in Assessing Occupational Task Performance

Overview
Journal Work
Publisher Sage Publications
Date 2014 Jun 26
PMID 24962299
Citations 3
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Within the context of evaluating individuals' movement behavior it is generally assumed that the tasks chosen will predict their competency to perform activities relevant to their occupation.

Objective: This study sought to examine whether a battery of general tasks could be used to predict the movement patterns employed by firefighters to perform select job-specific skills.

Methods: Fifty-two firefighters performed a battery of general and occupation-specific tasks that simulated the demands of firefighting. Participants' peak lumbar spine and frontal plane knee motion were compared across tasks.

Results: During 85% of all comparisons, the magnitude of spine and knee motion was greater during the general movement tasks than observed during the firefighting skills. Certain features of a worker's movement behavior may be exhibited across a range of tasks. Therefore, provided that a movement screen's tasks expose the motions of relevance for the population being tested, general evaluations could offer valuable insight into workers' movement competency or facilitate an opportunity to establish an evidence-informed intervention.

Citing Articles

Association between physical fitness and musculoskeletal health in firefighters.

Ras J, Soteriades E, Smith D, Kengne A, Leach L Front Physiol. 2023; 14:1210107.

PMID: 37469568 PMC: 10352848. DOI: 10.3389/fphys.2023.1210107.


Firefighter Overexertion: A Continuing Problem Found in an Analysis of Non-Fatal Injury Among Career Firefighters.

Le A, McNulty L, Dyal M, DeJoy D, Smith T Int J Environ Res Public Health. 2020; 17(21).

PMID: 33126593 PMC: 7663299. DOI: 10.3390/ijerph17217906.


Exploring the Application of Pattern Recognition and Machine Learning for Identifying Movement Phenotypes During Deep Squat and Hurdle Step Movements.

Remedios S, Armstrong D, Graham R, Fischer S Front Bioeng Biotechnol. 2020; 8:364.

PMID: 32426346 PMC: 7212384. DOI: 10.3389/fbioe.2020.00364.