Aim: To analyze the evidence of validity and reliability of the TGMD-2 for low-income preschoolers; and to investigate the associations between the final model with sex, age and BMI. Methods: 368 preschoolers (3-5 years; 4.80±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) and presented excellent indexes. Relationships between sex and throwing (r = -. 22), and strike (r = -. 21), indicated better performance for the 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 presented. The machine learning analysis to associate FMS with gender, age and BMI seems useful to optimize future interventions.
|Journal||Journal of Motor Learning and Development|
|Publication status||Accepted/In press - 22 Apr 2020|
Bandeira, P., Duncan, M., Pessoa, M. L., Soares, I., da Silva, L., Mota, J., & Martins, C. (Accepted/In press). TGMD-2 short version: evidence of validity and associations with sex, age and BMI in preschool children. Journal of Motor Learning and Development, (In-press), (In-press).