Biopsychosocial and Environmental Correlates of Children’s Motor Competence: An Exploratory Study
Bibliographic record
Abstract
BACKGROUND: Given the significance of motor competence (MC) for healthy development and as a cornerstone for lifelong physical activity (PA), it is crucial to understand the manifold factors that are associated with MC. Thus, the aim of the present study was to investigate correlates of children's MC and their fundamental movement skills (FMS) within their daily life from a comprehensive biopsychosocial-ecological perspective. METHODS: This is a cross-sectional sub-study of the 'Physical Literacy for Communities (PL4C)' WAVES cohort study conducted in the West Vancouver School District, Canada. Motor competence was assessed using the PLAYfun tool including overall MC score and five FMS category scores, namely, running, locomotor skills, upper and lower body control and balance skills. By means of structural equation modeling (SEM), direct associationswith MC and with the specific FMS categories addressing physical activity behavior, self-perceived physical literacy, parenting, and school ground design were investigated. RESULTS: A total of 355 children with a mean age of 7.5 years and 111.1 min of MVPA per day participated. The group comprised 51% boys and 47% girls from 14 elementary schools. Most children were at an emerging MC-level (71%), while those at a competent MC-level exhibited significantly more daily minutes of MVPA (123 versus 109, p = 0.001). Additionally, they played outdoors more frequently and engaged in more instructor-led PA. The results revealed that logistical support from parents had not only a direct positive association with overall MC, both for girls and boys, but also with most of the FMS categories. However, the correlates of MC varied between genders and showed different patterns across the five FMS categories. While time spent in sports or coach-/instructor-led physical activities had a significant SEM generated direct effect only for boys' MC and for locomotor, upper body object control and balance, the aesthetic design of the school grounds was only associated with girls' MC and those same three FMS categories. Multivariate SEM could explain 26% of variance for girls' MC and 30% for boys'. CONCLUSIONS: This exploratory baseline assessment revealed parental logistical support as an important correlate of MC, irrespective of gender. There were distinct gender patterns across biopsychosocial-ecological correlates influencing MC and FMS. Despite the heterogeneity of the results, our findings indicate a potential role of school ground design in supporting the development of children's MC, especially for girls.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".