Title :

Measuring physical literacy for an evidence-based approach: Validation of the French perceived physical literacy instrument for emerging adults.

Author(s) :

Gandrieau, Joseph [Auteur]
Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369 - ULR 4488 [URePSSS]
Dieu, Olivier [Auteur]
Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369
Potdevin, Francois [Auteur]
Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369
Derigny, Thibaut [Auteur]
Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369 - ULR 4488 [URePSSS]
Schnitzler, C. [Auteur]
Université de Strasbourg [UNISTRA]

Journal title :

Journal of Exercise Science and Fitness

Volume number :

21

Pages :

295-303

Publisher :

Elsevier

Publication date :

2023-07-31

ISSN :

1728-869X

English keyword(s) :

Assessment
Physical activity
Machine learning
Emerging adults

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

Background/Objectives Physical Literacy (PL) is increasingly recognized as a key element in studies aimed at promoting Physical Activity (PA), but measurement tools for emerging adults and evidence for assessing and ...
Show more >Background/Objectives Physical Literacy (PL) is increasingly recognized as a key element in studies aimed at promoting Physical Activity (PA), but measurement tools for emerging adults and evidence for assessing and using this concept is lacking in a wide range of contexts. We aimed to validate the French version of the Perceived Physical Literacy Instrument (PPLI): a scale for investigating PL in young French adults. Methods After PL and PA data collection (n = 2,248, agemean = 19 ± 1.53 yrs), exploratory and confirmatory factor analyses, Cronbach's α and Omega's ω and an Intraclass-Correlation analysis were undertaken. Spearman's rank correlation and the Boruta algorithm were used to investigate the association between PL and PA. Boruta's algorithm examined deeper external validation by analyzing the strength of an overall PL score in explaining PA, compared with separate dimensions of PL and individual characteristics (BMI, sex). Results Results showed an acceptable level of reliability (ICC = 0.91), internal validity (α = 0.88; ω = 0.77), and external validity (Rhô >0.18, p < 0.01). The Boruta algorithm highlighted that the construct of PL is a significant predictor of PA, although not the strongest one which is social and affective dimension. Conclusion This study provided data on validity and reliability of the first French assessment tool to measure PL constituted by four intertwined dimensions (physical, cognitive, social, affective). At the same time, it provides new evidence of the association between PL and PA.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
Univ. Artois
Univ. Littoral Côte d’Opale

Collections :

• Unité de Recherche Pluridisciplinaire Sport, Santé, Société (URePSSS) - ULR 7369

Submission date :

2023-10-20T07:06:46Z
2023-11-08T11:35:01Z