Evidence map›Paper›PMID 40551707›Full record

ArticleScience progress

A novel functional movement ability assessment method by integrating the ordered weighted averaging operator with important performance analysis approach.

Chao-Zheng Zheng, Kuei-Hu Chang

Abstract read
In one paragraph

Article in Science progress. 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

2 authors.

Chao-Zheng ZhengDepartment of Sports Science, R.O.C. Military Academy, Kaohsiung.ORCID 0000-0002-0692-2693
Kuei-Hu ChangDepartment of Management Sciences, R.O.C. Military Academy, Kaohsiung.ORCID 0000-0002-9630-7386

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The functional movement screen (FMS) method serves as a vital evaluation tool for gauging sports injury risks of athletes. Traditionally, physical therapists, physical trainers, and coaches employ seven basic movement patterns to determine an athlete's susceptibility to injury. However, this conventional FMS approach overlooks two critical factors: the sensory pain cognition of the athletes themselves and the relative importance or weighting of the seven FMS test items. Such oversight leads to inaccurate assessment results. To address these limitations and enhance the efficacy of injury risk evaluation, this study proposed novel functional movement ability assessment (NFMAA) method. The proposed NFMAA method combined the ordered weighted averaging operator and the importance-performance analysis. Moreover, this study incorporated the athletes' sensory pain cognition into the assessment framework. In the validation phase, this study employed the functional motor ability assessment. The military academy freshmen located in Taiwan served as the case study. The calculation results were compared with the established calculation methods. Empirical findings indicate that the proposed NFMAA method can provide more comprehensive and accurate sports injury risk assessment results for athletes.

Indexed as

Athletic InjuriesAthletesHumansMaleMovementRisk AssessmentYoung Adultartificial intelligenceFunctional movement screenimportance-performance analysisnumeric pain rating scaleordered weighted averaging operator

Identifiers

PMID40551707
PMCPMC12188046

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.