P. Bandeira, M. Duncan, Maria Luiza F. Pessoa, Í. Soares, L. R. Silva, J. Mota, C. Martins
{"title":"TGMD-2短版:学龄前儿童性别、年龄和BMI的有效性证据","authors":"P. Bandeira, M. Duncan, Maria Luiza F. Pessoa, Í. Soares, L. R. Silva, J. Mota, C. Martins","doi":"10.1123/JMLD.2019-0040","DOIUrl":null,"url":null,"abstract":"Aim: To analyze the evidence of validity and reliability of the Test of Gross Motor Development, Second Edition (TGMD-2) for low-income preschoolers; and to investigate the associations between the final model with sex, age, and body mass index (BMI). Methods: 368 preschoolers (3–5 years old [M = 4.80, SD = 0.48]; 176 boys) located in deprived areas were assessed for anthropometric measures and motor competence via the TGMD-2. A two-factor model (12 skills) was used and confirmatory indexes were calculated. The Bayesian criteria and the Composite Reliability were employed to evaluate alternative models. Relationships between the final model proposed with age, sex, and BMI were calculated using a network analysis (Mplus 8.0; Rstudio). Results: A two-factor model (locomotion and object control) with adequate values (>0.30) for the six skills (gallop, leap, slide, strike, throw, and roll) presented excellent indexes. Relationships between sex and throwing (r = −.22), and strike (r = −.21), indicated better performance for boys. Positive relationships were found for age with slide (r = 0.23) and hop (r = 0.28), and for BMI with throw (r = 0.18). Conclusion: Validity of a TGMD-2 short version for low-income preschoolers was present. The machine learning analysis to associate fundamental movement skills with gender, age, and BMI seems useful to optimize future interventions.","PeriodicalId":37368,"journal":{"name":"Journal of Motor Learning and Development","volume":"5 1","pages":"528-543"},"PeriodicalIF":0.8000,"publicationDate":"2020-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"TGMD-2 Short Version: Evidence of Validity and Associations With Sex, Age, and BMI in Preschool Children\",\"authors\":\"P. Bandeira, M. Duncan, Maria Luiza F. Pessoa, Í. Soares, L. R. Silva, J. Mota, C. Martins\",\"doi\":\"10.1123/JMLD.2019-0040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aim: To analyze the evidence of validity and reliability of the Test of Gross Motor Development, Second Edition (TGMD-2) for low-income preschoolers; and to investigate the associations between the final model with sex, age, and body mass index (BMI). Methods: 368 preschoolers (3–5 years old [M = 4.80, SD = 0.48]; 176 boys) located in deprived areas were assessed for anthropometric measures and motor competence via the TGMD-2. A two-factor model (12 skills) was used and confirmatory indexes were calculated. The Bayesian criteria and the Composite Reliability were employed to evaluate alternative models. Relationships between the final model proposed with age, sex, and BMI were calculated using a network analysis (Mplus 8.0; Rstudio). Results: A two-factor model (locomotion and object control) with adequate values (>0.30) for the six skills (gallop, leap, slide, strike, throw, and roll) presented excellent indexes. Relationships between sex and throwing (r = −.22), and strike (r = −.21), indicated better performance for boys. Positive relationships were found for age with slide (r = 0.23) and hop (r = 0.28), and for BMI with throw (r = 0.18). Conclusion: Validity of a TGMD-2 short version for low-income preschoolers was present. The machine learning analysis to associate fundamental movement skills with gender, age, and BMI seems useful to optimize future interventions.\",\"PeriodicalId\":37368,\"journal\":{\"name\":\"Journal of Motor Learning and Development\",\"volume\":\"5 1\",\"pages\":\"528-543\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2020-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Motor Learning and Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1123/JMLD.2019-0040\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PSYCHOLOGY, DEVELOPMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Motor Learning and Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1123/JMLD.2019-0040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PSYCHOLOGY, DEVELOPMENTAL","Score":null,"Total":0}
TGMD-2 Short Version: Evidence of Validity and Associations With Sex, Age, and BMI in Preschool Children
Aim: To analyze the evidence of validity and reliability of the Test of Gross Motor Development, Second Edition (TGMD-2) for low-income preschoolers; and to investigate the associations between the final model with sex, age, and body mass index (BMI). Methods: 368 preschoolers (3–5 years old [M = 4.80, SD = 0.48]; 176 boys) located in deprived areas were assessed for anthropometric measures and motor competence via the TGMD-2. A two-factor model (12 skills) was used and confirmatory indexes were calculated. The Bayesian criteria and the Composite Reliability were employed to evaluate alternative models. Relationships between the final model proposed with age, sex, and BMI were calculated using a network analysis (Mplus 8.0; Rstudio). Results: A two-factor model (locomotion and object control) with adequate values (>0.30) for the six skills (gallop, leap, slide, strike, throw, and roll) presented excellent indexes. Relationships between sex and throwing (r = −.22), and strike (r = −.21), indicated better performance for boys. Positive relationships were found for age with slide (r = 0.23) and hop (r = 0.28), and for BMI with throw (r = 0.18). Conclusion: Validity of a TGMD-2 short version for low-income preschoolers was present. The machine learning analysis to associate fundamental movement skills with gender, age, and BMI seems useful to optimize future interventions.
期刊介绍:
The Journal of Motor Learning and Development (JMLD) publishes peer-reviewed research that advances the understanding of movement skill acquisition and expression across the lifespan. JMLD aims to provide a platform for theoretical, translational, applied, and innovative research related to factors that influence the learning or re-learning of skills in individuals with various movement-relevant abilities and disabilities.