Evidence map›Paper›PMID 39228846›Full record

ArticleFrontiers in public health2024

"Track style" children's fundamental movement skills test: construction and verification of an efficient evaluation system.

Yubo Wang, Shuang Liang, Baofeng Zhang, Lingyue Meng, Yan Xiong

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. 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

5 authors.

Yubo WangPhysical Education and Sports School, Soochow University, Suzhou, Jiangsu, China.
Shuang LiangHigh School to Nanjing Normal University, Nanjing, Jiangsu, China.
Baofeng ZhangPhysical Education and Sports School, Soochow University, Suzhou, Jiangsu, China.
Lingyue MengPhysical Education and Sports School, Soochow University, Suzhou, Jiangsu, China.
Yan XiongPhysical Education and Sports School, Guangzhou University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to develop an efficient tool for assessing children's fundamental motor skills, the "Track style" Children's Fundamental Movement Skills Test (TCFMST), based on theories of motor development integrated with Chinese cultural context and physical education teaching situations. Methods: Starting from a literature analysis, the study selected items from existing fundamental movement skill (FMS) assessments, textbooks, physical education and health standards, and children's movement guidelines to construct a pool of test items. Subsequently, the items were screened and optimized using the Delphi method. Finally, the feasibility, discrimination, difficulty, reliability, and validity of the constructed test were examined using testing methods. Results: The TCFMST includes three dimensions: locomotive skills, body control skills, and manipulative skills, with a total of 10 items. The difficulty and discrimination of each item are appropriate; the correlation coefficients for retest reliability range from 0.789 to 0.943 ( Conclusion: The TCFMST developed in this study has good difficulty, discrimination, reliability, and validity. It also features strong operability, a short duration, and high interest. It can serve as an important tool for monitoring children's fundamental motor skill levels.

Indexed as

Motor SkillsChildChild DevelopmentChinaDelphi TechniqueFemaleHumansMaleReproducibility of Resultsassessment system constructionchildDelphi methodfundamental movement skillsmotor developmentphysical activities

Identifiers

PMID39228846
PMCPMC11369310

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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.