title: Integration of aerobic power into the morphological-motor system in children aged 7-11 years.
abstract: The aim of the study was to analyze integration of aerobic power into other dimensions evaluated. For this purpose, predictor relations of the morphological-motor variables were analyzed with a 3-minute run as a criterion (according to school grade and sex). Four morphological and 6 motor variables covering the morphological-motor system were used in a sample of 4,440 children of both sexes aged 7-11 years, elementary school first- to four-graders from the Primorje-Gorski Kotar County, Republic of Croatia, divided into 8 groups. Data were processed by use of regression analysis. Study results clearly showed the values of the criterion variable to rise and criterion prediction using the set of predictor variables to improve with age. Also, the number of predictors included in power run prediction was observed to significantly increase with age. Strength factors with a predominance of explosive strength and repetitive strength in boys and girls, respectively, were the best criterion predictors. It is emphasized that development of the morphological-motor system and thus functioning of the body as a whole are influenced by aerobic power upgrading. Appropriate systematic kinesiologic activities accelerate the process of aerobic power integration in the morphological-motor system. As indicated by study results, this integration occurred at a faster rate and was more intensive in girls than in boys.
authors.affiliation: Faculty of Natural and Mathematical Sciences and Education, University of Split, Split, Croatia. katic@pmfst.hr
authors.forename: Ratko
authors.initials: R
authors.lastname: Katić
authors.forename: Aleksandra
authors.initials: A
authors.lastname: Pejcić
authors.forename: Josip
authors.initials: J
authors.lastname: Babin
mesh_terms: D000886:Anthropometry; D002648:Child; D002657:Child Development; D017523:Croatia; D005260:Female; D006801:Humans; D008297:Male; D010806:Physical Education and Training; D010807:Physical Endurance; D012044:Regression Analysis; D012737:Sex Factors