6533b85efe1ef96bd12bff01
RESEARCH PRODUCT
Identifying childhood movement profiles and comparing differences in mathematical skills between clusters : A latent profile analysis
Anssi VanhalaMikko HuhtiniemiElina SipinenAnu LainePirjo AunioAiri HakkarainenTimo JaakkolaKasper SalinArto Gråsténsubject
MaleSHUTTLE RUN TESTeducationPhysical activityPhysical Therapy Sports Therapy and RehabilitationCHILDRENAcademic achievementDevelopmental psychologyMotor competence03 medical and health sciences0302 clinical medicineMathematical skillADOLESCENTSACADEMIC-ACHIEVEMENTHumansmathematical problem-solving skillsOrthopedics and Sports MedicineSOCIOECONOMIC-STATUSbasic mathematical skills030212 general & internal medicineChildMuscle SkeletalSocioeconomic statusShuttle run testASSOCIATIONSAcademic Successcardiorespiratory fitnessMovement (music)4. EducationCardiorespiratory fitnessEDUCATION030229 sport sciencesPERFORMANCEMixture modelAEROBIC FITNESSPHYSICAL-ACTIVITYmuscular fitnessMotor SkillsPhysical FitnessFemale516 Educational sciencesPsychologyMathematicsdescription
The aims of this study were; 1) to identify different movement profiles in sixth graders, and 2) to investigate if there are differences in their mathematical basic (BasicMath) and problem solving (ProbSol) skills between existing movement profiles. The sample included 461 (223 girls, 238 boys) students with a mean age of 11.27 +/- .32 years from southern and middle Finland. A latent profile analysis (LPA) revealed four movement profiles: "poor movers", "average movers", "skilled movers" and "expert movers". These profiles differed substantially in their motor competence (MC) and health-related fitness (HRF). A multivariate analysis of variance (MANOVA) also revealed that "poor movers" and "average movers" obtained lower results in BasicMath comparing with "skilled movers". The results of this study suggest that cardiorespiratory and muscular fitness, MC and BasicMath are interrelated. Peer reviewed
year | journal | country | edition | language |
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2021-11-02 |