Supporting Physical Activity in the Childcare Environment (SPACE): rationale and study protocol for a cluster randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Young children are prone to low levels of physical activity in childcare. Researchers have identified that preschoolers tend to be more active outdoors than indoors, with higher activity levels occurring during the first 10 minutes of outdoor playtime. Additionally, interventions incorporating either staff training or the inclusion of play equipment have been effective at increasing children's activity in this setting. As such, the overarching objective of the Supporting Physical Activity in the Childcare Environment (SPACE) intervention is to improve the physical activity levels of preschoolers during childcare hours, utilizing a combination of the above components. The purpose of this manuscript is to provide a detailed account of the protocol, innovative methods, and evaluation plans used in the implementation of the SPACE study; in an effort to support the development of further research in this field. METHODS/DESIGN: The SPACE study, a cluster randomized controlled trial, involves 22 childcare centres randomly allocated to either the experimental (n = 11) or the control (n = 11) group. Childcare centres receiving the intervention will adopt an 8-week physical activity intervention with the following components: 1. shorter, more frequent bouts of outdoor playtime (4 × 30 min periods rather than 2 × 60 min periods); 2. new portable play equipment (e.g., obstacle course, balls); and, 3. staff training (1 × 4 hr workshop). Actical accelerometers will be used to assess total physical activity with measurements taken at baseline (i.e., week 0), immediately post-intervention (i.e., week 8), and at 6- and 12-month follow-up. As secondary objectives, we aim to evaluate the effectiveness of the intervention on preschoolers': a) sedentary time; b) standardized body mass index scores (percentiles); c) health-related quality of life; and childcare providers' physical activity-related knowledge and self-efficacy to implement physical activity. DISCUSSION: The SPACE study aims to increase the low levels of physical activity observed within childcare centres. The findings of this work may be useful to policy makers and childcare providers to consider modifications to the current childcare curriculum and associated outdoor play time. TRIAL REGISTRATION: ISRCTN70604107 (October 8, 2014).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.075 | 0.059 |
| Meta-epidemiology (narrow) | 0.007 | 0.004 |
| Meta-epidemiology (broad) | 0.013 | 0.006 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.043 | 0.008 |
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 source (direct Gemma or distilled Codex), 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".