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How well do muscular strength and endurance predict cognitive function in youth?

datacite.subject.fosCiências Médicas::Ciências da Saúde
dc.contributor.authorCorreia, Ana Luísa
dc.contributor.authorCorreia, Ana Luisa Rodrigues Figueira de Sousa
dc.contributor.authorGouveia. Élvio R.
dc.contributor.authorGouveia, Elvio Rúbio
dc.contributor.authorGouveia, Élvio Rúbio
dc.contributor.authorGouveia, Elvio Rúbio
dc.contributor.authorMarques, Adilson
dc.contributor.authorMarques, Adilson
dc.contributor.authorGouveia, Bruna
dc.contributor.authorGouveia, Bruna
dc.contributor.authorRodrigues, Ana J.
dc.contributor.authorRodrigues, Ana
dc.contributor.authorAlves, Ricardo
dc.contributor.authorAlves, Ricardo
dc.contributor.authorVelosa Barreto Ferreira Alves, José Ricardo
dc.contributor.authorLopes, Helder
dc.contributor.authorLopes, Helder
dc.contributor.authorKliegel, Matthias
dc.contributor.authorKliegel, Matthias
dc.contributor.authorIhle, Andreas
dc.contributor.authorIhle, Andreas
dc.date.accessioned2026-06-01T14:38:34Z
dc.date.available2026-06-01T14:38:34Z
dc.date.issued2019
dc.description.abstractBackground: Muscular strength and endurance (MSE) have been correlated to healthy physical and mental condition throughout the lifespan. Objective: The main objective of this study was to investigate how well do MSE predict cognitive function in youth, after controlling for age. Methods: The sample comprised 302 students (157 girls and 145 boys), mean age 15.7 years (SD = 2.7, range 9.9-20.6), from the 5th to the 12th year, in 5 public schools. Cognitive Telephone Screening Instrument (COGTEL) as used to access cognitive function. MSE of students were assessed using the hand grip test (static strength) and sit-ups (trunk strength) from EUROFIT battery. Bivariate correlations and hierarchical multiple regression analyses were performed on the data analysis. Results: COGTEL was positively related to static strength (r=.282, p<.001) and trunk strength tests scores (r=.268, p<.001). Age explained 5.9% of the variance in COGTEL (step 1). After entry MSE at step 2, the total variance explained by the model as a whole was 12%. In the final model, both age and MSE composite score were statistically significant, with the MSE recording a higher beta value (beta=.264, p<.001) than age (beta=.136, p=.034). Conclusion: this study reinforces that better MSE significantly correlates to higher performance in cognitive function. Moreover, MSE predict cognitive function in youth in the same proportion as age does.eng
dc.identifier.doi10.14198/jhse.2019.14.proc4.82
dc.identifier.issn1988-5202
dc.identifier.urihttp://hdl.handle.net/10400.13/7790
dc.language.isoeng
dc.peerreviewedno
dc.publisherUniversidad de Alicante
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectHealth-related physical fitness
dc.subjectCognitive performance
dc.subjectYouth
dc.subjectPhysical education
dc.subject.
dc.subjectFaculdade de Ciências Sociais
dc.titleHow well do muscular strength and endurance predict cognitive function in youth?eng
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferenceDate2019
oaire.citation.conferencePlaceCastelo Branco, Portugal
oaire.citation.titleJournal of Human Sport and Exercise - 2019 - Spring Conferences of Sports Science
oaire.citation.volume14
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCorreia
person.familyNameGouveia
person.familyNameGouveia
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person.familyNameMarques
person.familyNameGouveia
person.familyNameRodrigues
person.familyNameAlves
person.familyNameVelosa Barreto Ferreira Alves
person.familyNameLopes
person.familyNameKliegel
person.familyNameIhle
person.givenNameAna Luisa Rodrigues Figueira de Sousa
person.givenNameElvio Rúbio
person.givenNameÉlvio Rúbio
person.givenNameElvio Rúbio
person.givenNameAdilson
person.givenNameBruna
person.givenNameAna
person.givenNameRicardo
person.givenNameJosé Ricardo
person.givenNameHelder
person.givenNameMatthias
person.givenNameAndreas
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person.identifier.ridK-4529-2014
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person.identifier.scopus-author-id55082567000
person.identifier.scopus-author-id56090521600
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