Individual, Family, and Environmental Correlates of Motor Competence in Young Children: Regression Model Analysis of Data Obtained from Two Motor Tests

Autor: Niemisto, Donna, Finni, Taija, Cantell, Marja, Korhonen, Elisa, Saakslahti, Arja
Přispěvatelé: Developmental and behavioural disorders in education and care: assessment and intervention
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: International Journal of Environmental Research and Public Health
Volume 17
Issue 7
International Journal of Environmental Research and Public Health, Vol 17, Iss 2548, p 2548 (2020)
International Journal of Environmental Research and Public Health, 17(7):2548. MDPI AG
ISSN: 1660-4601
1661-7827
DOI: 10.3390/ijerph17072548
Popis: Physical 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 Kö
rperkoordinationstest fü
r 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&rsquo
education level), and environmental (e.g., access to sports facilities) correlates. The children&rsquo
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.
Databáze: OpenAIRE