The impact of daycare attendance on outdoor free play in young children
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Outdoor free play is important for healthy growth and development in early childhood. Recent studies suggest that the majority of time spent in daycare is sedentary. The objective of this study was to determine whether there was an association between daycare attendance and parent-reported outdoor free play. Methods: Healthy children aged 1-5 years recruited to The Applied Research Group for Kids! (TARGet Kids!), a primary care research network, were included. Parents reported daycare use, outdoor free play and potential confounding variables. Multivariable linear regression was used to determine the association between daycare attendance and outdoor free play, adjusted for age, sex, maternal ethnicity, maternal education, neighborhood income and season. Results: There were 2810 children included in this study. Children aged 1 to <3 years (n = 1388) and ≥3 to 5 years (n = 1284) who attended daycare had 14.70 min less (95% CI -20.52, -8.87; P < 0.01) and 9.44 min less (95% CI -13.67, -5.20; P < 0.01) per day of outdoor free play compared with children who did not attend daycare, respectively. Conclusions: Children who spend more time in daycare have less parent-reported outdoor free play. Parents may be relying on daycare to provide opportunity for outdoor free play and interventions to promote increased active play opportunities outside of daycare are needed.
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.
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 | 0.003 | 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) | 0.000 | 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 it