Physical activity and screen-viewing policies in Canadian childcare centers
Bibliographic record
Abstract
BACKGROUND: Physical activity (PA) offers numerous health benefits for young children; however, many children enrolled in childcare engage in low levels of PA and high levels of sedentary time. This study aimed to describe the prevalence and content of written PA and screen-viewing (SV) policies in Canadian childcare centers. METHODS: Using a modified version of the Environment and Policy Assessment and Observation Self-Report (EPAO-SR) tool, an online survey was distributed to all directors/administrators of center-based childcare facilities across Canada. Reminder emails were sent to encourage survey completion and a strong response rate. Descriptive statistics were used to explore demographic characteristics and frequencies were run to examine the number of centers that implemented a PA or SV policy. Deductive content analysis was completed to identify common themes in participants' open-ended responses. RESULTS: A total of 1158 childcare representatives participated in the study; 514 provided complete data. Of these, 295 (44%) centers indicated having a written PA policy (with the majority regulated at the provincial/territorial-level; n = 227; 42%). Content of these policies included amount of time: spent outdoors (n = 395; 63%); in teacher-led active play (n = 101; 16%); and PA education for children (n = 91; 16%). Additionally, 178 (29%) respondents reported a written policy regarding SV (with majority regulated at the center-level; n = 173; 34%) and primarily focusing on amount of time children watch television. CONCLUSIONS: PA regulations are more common than SV policies in Canadian childcare centers; however, less than half implement a PA policy and only a third adopt SV regulations. An opportunity exists to advance practice by adopting proactive approaches to encouraging young children to be more active and less sedentary in childcare (i.e., through written policies). Supplementing policy with accessible resources, as well as consistent provision of early childhood educator (staff) training, represent important steps for putting said policies into action.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".