Evidence map›Paper›PMID 41943137›Full record

ArticleBMC psychology2026

A network psychometric analysis to advance the understanding of children's physical literacy.

Yucui Diao, Sitong Chen, Clarice Martins, Isaac Estevan, Lei Wang, Rongbin Yin, Cuixiang Dong, Lisa M Barnett

Abstract read
In one paragraph

Article in BMC psychology, 2026. 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
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0citing papers in PubMed
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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

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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

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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

8 authors.

Yucui DiaoSchool of Physical Education and Sport, Soochow University, No.50, Donghuan Road, Suzhou, Jiangsu province, 215021, China.
Sitong ChenInstitute for Health and Sport, Victoria University, Melbourne, Australia.
Clarice MartinsResearch Centre in Physical Activity, Health and Leisure, and Laboratory for Integrative and Translational Research in Population Health, University of Porto, Porto, Portugal.
Isaac EstevanAFIPS Research Group, Department of Teaching of Physical Education, Arts and Music, University of Valencia, Valencia, Spain.
Lei WangSchool of Physical Education, Shanghai University of Sport, Shanghai, China.
Rongbin Yin *School of Physical Education and Sport, Soochow University, No.50, Donghuan Road, Suzhou, Jiangsu province, 215021, China. yrb@suda.edu.cn.
Cuixiang Dong *School of Physical Education and Health, East China Normal University, No. 500, Dongchuan Road, Shanghai, 200241, China. cxdong@tyxx.ecnu.edu.cn.
Lisa M BarnettInstitute for Physical Activity and Nutrition (IPAN), School of Health and Social Development, Deakin University, Melbourne, Australia.

Funding

Conselleria de Educación, Universidades y Ocupación, Generalitat Valencia AICO/2022/185Fundação para a Ciência e a Tecnologia UIDB/00617/2020 (DOI:10.54499/UIDB/00617/2020); and UIDP/00617/2020 (DOI: 10.54499/UIDP/00617/2020)National Office for Philosophical and Social Science, China 19CTY011the Spanish National Research Agency, Ministerio de Ciencia, Innovación y Universidades,the Spanish National Research Agency, Ministerio de Ciencia, Innovación y Universidades,the Spanish National Research Agency, Ministerio de Ciencia, Innovación y Universidades, Spain PID2024-156274NB-C22 by the MICIU /AEI /10.13039/501100011033 / FEDER, UE
6 · The paper itself

Abstract

backgroundDespite growing interest in children’s physical literacy (PL), limited research has examined the relative importance of its constituent elements from children’s own perspectives using network-based methods. This study employed network psychometrics to identify the key elements (i.e., nodes with high centrality in the PL elements network) of PL based on children’s self-perception.

methodsA total of 1,520 Chinese children (752 girls, 49.5%; 768 boys, 50.5%), aged 7 to 12 years (M = 9.6 ± 1.7) completed a PL self-report (the Physical Literacy in Children Questionnaire). Regularized psychological networks were constructed to estimate the interactions between PL elements. Centrality was assessed using the expected influence (EI) index to identify potentially the most influential elements in the PL network. Network comparison test evaluates whether network structure, global strength, and centrality indices differed by sex and age groups (7–9 years and 10–12 years).

resultsThe elements with high EI values in the PL networks were engagement and enjoyment (psychological domain, EI = 1.64–2.22), collaboration (social domain, EI = 1.34–1.64), self-regulation-physical (psychological domain, EI = 1.12–1.63), and speed (physical domain, EI = 1.10–1.17). The PL network structure and global strength were invariant, though the specific elements with higher EI values differed slightly by sex and age groups.

conclusionThis study identified engagement and enjoyment, collaboration, self-regulation-physical, and speed as key elements of children’s PL. These findings support a child-centered, systems view of PL and highlight elements that merit further investigation in longitudinal or experimental research. Our findings empirically support the inclusion of social elements and children’s voices into PL assessment and promotion.

Indexed as

Health LiteracyPsychometricsSelf ConceptChildChinaFemaleHumansMaleComplex systemNetwork psychometricsPhysical literacySelf-reportTopology

Identifiers

PMID41943137
PMCPMC13188483

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.