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dc.contributor.authorNiemistö, Donna
dc.contributor.authorFinni, Taija
dc.contributor.authorCantell, Marja
dc.contributor.authorKorhonen, Elisa
dc.contributor.authorSääkslahti, Arja
dc.date.accessioned2020-04-16T08:17:51Z
dc.date.available2020-04-16T08:17:51Z
dc.date.issued2020
dc.identifier.citationNiemistö, D., Finni, T., Cantell, M., Korhonen, E., & Sääkslahti, A. (2020). Individual, Family, and Environmental Correlates of Motor Competence in Young Children : Regression Model Analysis of Data Obtained from Two Motor Tests. <i>International Journal of Environmental Research and Public Health</i>, <i>17</i>(7), Article 2548. <a href="https://doi.org/10.3390/ijerph17072548" target="_blank">https://doi.org/10.3390/ijerph17072548</a>
dc.identifier.otherCONVID_35234747
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/68558
dc.description.abstractPhysical activity and motor competence (MC) have been considered to be closely related and prevent childhood obesity. The aim of the study was two-fold: to examine MC measured with two different tools in relation to individual, family, and environmental correlates and to investigate gender differences in MC. The Test of Gross Motor Development-Third Edition (TGMD-3) was administered to three- to seven-year-old children (n = 945), while the Körperkoordinationstest für Kinder (KTK) was also used for five- to seven-year-old children (n = 444). The parent questionnaire (n = 936) included questions about individual (e.g., participation in organized sports), family (e.g., parents’ education level), and environmental (e.g., access to sports facilities) correlates. The children’s temperament was assessed using the Colorado Childhood Temperament Inventory (CCTI) questionnaire. Data were analyzed using one-way analysis of variance and linear mixed-effects regression models. The regression models explained 57% and 38% of the variance in TGMD-3 and KTK, respectively. Individual correlates, including older age, more frequent participation in sports, and specific temperament traits of activity and attention span-persistence, were the strongest predictors for better MC. Small gender differences were found in both assessment tools, albeit in a different manner. In conclusion, socioecological correlates of MC in young children are multidimensional, and individual correlates appear to be the most important predictors of MC. Importantly, the correlates can differ according to the MC assessment tools.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherMDPI
dc.relation.ispartofseriesInternational Journal of Environmental Research and Public Health
dc.rightsCC BY 4.0
dc.subject.othersocioecological model
dc.subject.otherlocomotor skills
dc.subject.otherball skills
dc.subject.otherbalance skills
dc.subject.othercoordination
dc.subject.otherTGMD-3
dc.subject.otherKTK
dc.subject.othertemperament
dc.titleIndividual, Family, and Environmental Correlates of Motor Competence in Young Children : Regression Model Analysis of Data Obtained from Two Motor Tests
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202004162780
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.contributor.oppiaineLiikuntapedagogiikkafi
dc.contributor.oppiaineBiomekaniikkafi
dc.contributor.oppiaineSport Pedagogyen
dc.contributor.oppiaineBiomechanicsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1661-7827
dc.relation.numberinseries7
dc.relation.volume17
dc.type.versionpublishedVersion
dc.rights.copyright© 2020 by the authors
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.relation.grantnumberOKM/45/626/2015
dc.subject.ysokoordinaatio (motoriikka)
dc.subject.ysolapset (ikäryhmät)
dc.subject.ysoliikuntataidot
dc.subject.ysoesikouluikäiset
dc.subject.ysososiaalinen tausta
dc.subject.ysotemperamentti
dc.subject.ysomotoriset taidot
dc.subject.ysotaustatekijät
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p38088
jyx.subject.urihttp://www.yso.fi/onto/yso/p4354
jyx.subject.urihttp://www.yso.fi/onto/yso/p24598
jyx.subject.urihttp://www.yso.fi/onto/yso/p6911
jyx.subject.urihttp://www.yso.fi/onto/yso/p2138
jyx.subject.urihttp://www.yso.fi/onto/yso/p7077
jyx.subject.urihttp://www.yso.fi/onto/yso/p24478
jyx.subject.urihttp://www.yso.fi/onto/yso/p28257
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.3390/ijerph17072548
dc.relation.funderMinistry of Education and Cultureen
dc.relation.funderOpetus- ja kulttuuriministeriöfi
jyx.fundinginformationThe Finnish Ministry of Education and Culture has funded the Skilled Kids project.
datacite.isSupplementedBy.doi10.17011/jyx/dataset/82137
datacite.isSupplementedBy.doi10.17011/jyx/dataset/87526
datacite.isSupplementedByNiemistö, Donna; Laukkanen, Arto; Finni Juutinen, Taija; Sääkslahti, Arja; Barnett, Lisa M; Lenoir, Matthieu; Cantell, Marja. (2022). <i>"Skilled Kids" study's research data</i>. V. 31.5.2017. University of Jyväskylä. <a href="https://doi.org/10.17011/jyx/dataset/82137" target="_blank">https://doi.org/10.17011/jyx/dataset/82137</a>. <a href="http://urn.fi/URN:NBN:fi:jyu-202206303738">https://urn.fi/URN:NBN:fi:jyu-202206303738</a>
datacite.isSupplementedBySääkslahti, Arja; Laukkanen, Arto; Niemistö, Donna; Aunola, Kaisa; Barnett, Lisa M. (2023). <i>Active Family study data</i>. V. 30.9.2022. University of Jyväskylä. <a href="https://doi.org/10.17011/jyx/dataset/87526" target="_blank">https://doi.org/10.17011/jyx/dataset/87526</a>. <a href="http://urn.fi/URN:NBN:fi:jyu-202306073590">https://urn.fi/URN:NBN:fi:jyu-202306073590</a>
dc.type.okmA1


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