Bandeira Paulo Felipe Ribeiro, Lemos Luís Filipe, Estevan Isaac, Webster Elisabeth Kipling, Clark Cain Truman, Duncan Michael Joseph, Mota Jorge Augusto, Martins Clarice Lucena
Department of Physical Education, Regional University of Cariri, Crato, Brazil.
Department of Physical Education, Federal University of Paraíba, João Pessoa, Brazil.
J Sports Sci. 2025 Jan;43(1):109-116. doi: 10.1080/02640414.2024.2414361. Epub 2024 Oct 15.
Motor competence (MC) is conceptually defined as a multidimensional latent construct that covers the proficient performance in motor skills and its underlying mechanisms This study aimed to statistically provide arguments that MC is a network of interconnected constructs, such as FMS, coordination, and its underlying mechanisms, which are responsible for preschoolers' proficiency in motor tasks. Participated 102 preschoolers (65 girls, age = 4.22 ± 0.19) who were assessed for the Test of Gross Motor Development - 2 edition, the Motor Competence Assessment, and the Supine-to-Stand. Data were explored using Exploratory Graph Analysis, using the EGAnet package in RStudio. A four-dimensional structure (61.2% of interactions) comprising tasks of the different protocols was underlined, in which all the nodes presented stable and adequate indexes (≥0.65; TEFI = -2.67). Four dimensions of MC were highlighted, namely Dimension 1, which combined movements for locomotor patterns; Dimension 2, comprising three process-oriented measures of object control skills to project objects; Dimension 3, which comprised of skills which require body coordination to displace body through space; and Dimension 4, composed by object control skills evaluated through product-oriented measures. For a better understanding of MC, the assessment of these different aspects that comprises MC should be considered.
运动能力(MC)在概念上被定义为一种多维潜在结构,它涵盖了运动技能的熟练表现及其潜在机制。本研究旨在从统计学角度论证MC是一个由相互关联的结构组成的网络,如功能性动作筛查(FMS)、协调性及其潜在机制,这些结构决定了学龄前儿童在运动任务中的熟练程度。102名学龄前儿童(65名女孩,年龄 = 4.22 ± 0.19)参与了本研究,他们接受了《粗大运动发展测试 - 第2版》、《运动能力评估》和《仰卧到站立测试》。使用RStudio中的EGAnet软件包,通过探索性图形分析对数据进行了探究。研究强调了一个由不同测试协议任务组成的四维结构(占交互作用的61.2%),其中所有节点都呈现出稳定且合适的指标(≥0.65;TEFI = -2.67)。突出了MC的四个维度,即维度1,它结合了运动模式的动作;维度2,包括三种以过程为导向的物体控制技能测量方法,用于投射物体;维度3,由需要身体协调性以在空间中移动身体的技能组成;维度4,由通过以产品为导向的测量方法评估的物体控制技能组成。为了更好地理解MC,应该考虑对构成MC的这些不同方面进行评估。