Building Your Best Day: Disseminating the Canadian 24‐Hour Movement Guidelines for Children and Youth via an Interactive Website
Bibliographic record
Abstract
BACKGROUND: The Canadian 24-Hour Movement Guidelines for Children and Youth ('Guidelines') were the world's first public health guidelines to integrate recommendations for physical activity, screen time/sedentary behaviour, and sleep. Build Your Best Day! (BYBD) is an interactive website developed as part of the Guidelines' knowledge translation strategy. Guided by Diffusion of Innovations Theory, the current study examined whether interacting with BYBD alters parents' and youths' perceptions of the Guidelines and increases their intentions for adoption. METHODS: = 12 years, SD = 1; 53% male) participated in a mixed-methods, semi-structured interview. Research followed a single session pre-post design, with participants interviewed before and after interacting with BYBD. Items focused on perceptions of the Guidelines generally and on BYBD specifically. A concurrent think-aloud method was utilized to explore the process of visiting BYBD. T-tests and Cohen's effect sizes were used to examine pre-post changes and differences between parents and youth. Qualitative data were examined via content analysis. RESULTS: Both youth and parents identified the Guidelines as a beneficial public health resource. Despite favourable intention ratings (parents: M = 5.6/7, SD = 1.1; youth: M = 6.4/7, SD = 1.1), participants discussed that they would be unlikely to adhere to the Guidelines on a regular basis with the primary barrier to adoption being a perceived lack of time. Parents' and youths' Guidelines ratings showed favourable changes following BYBD. For instance, youth reported that BYBD improved their understanding of the Guidelines (pre: M = 5.5/7, SD = 1.1; post: M = 6.4/7, SD = 0.9, d = 0.91, p < 0.007). Likewise, parents reported a higher perceived advantage post-BYBD (M = 6.3/7, SD = 0.7) relative to pre-BYBD (M = 5.9/7, SD = 0.9; d = 0.45, p < 0.007). Parents were sceptical of BYBD's effectiveness and attributed improved ratings to increased familiarity with the Guidelines rather than the website. CONCLUSIONS: Results suggest that the Guidelines are well-received by parents and youth and that BYBD may be an effective tool for improving youths' understanding. Future research may benefit from examining strategies to increase individuals' confidence in their ability to achieve the Guidelines.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".