10 Paediatricians’ Awareness of Canadian Screen Time Guidelines, Perception of Screen Time Use, and Counseling during the COVID-19 Pandemic
Bibliographic record
Abstract
Abstract Background Paediatricians are essential for guiding families on screen time use as digital media become increasingly prevalent, particularly through the COVID-19 pandemic. However, there is no literature on paediatrician awareness of Canadian guidelines or on perception of these guidelines during the pandemic. Objectives The aim of this study was to assess the knowledge, attitudes, and comfort of paediatricians with the Canadian Paediatric Society’s (CPS) screen time guidelines, specifically during the COVID-19 pandemic. Design/Methods Our survey was developed by a paediatric resident and paediatric endocrinologist, reviewed by local experts, and sent electronically to members of the Community and Developmental Paediatrics Sections of the CPS. Results All 53 respondents were aware of current CPS screen time guidelines, and the majority had fair to excellent knowledge of guidance for both age groups (<5 years, and school-aged children and adolescents). Over 80% noticed increased screen time use during the pandemic, and 98% were somewhat or very concerned about screen time use and their patients’ health or well-being. Qualitative data indicated paediatricians were concerned about associations between increased screen time with worsening behaviour, mental health concerns, obesity, and sedentary lifestyle. The greatest implementation barrier was perceived to be insufficient motivation or support from caregivers/families. Conclusion Our study demonstrates that paediatricians are highly knowledgeable and comfortable with current screen time guidelines, and frequently counsel their patients accordingly. Despite this, paediatricians are increasingly concerned with negative health outcomes associated with screen time use. We hope these results empower paediatricians to continue counseling patients and encourage further local advocacy and public education around increased screen time and related health risks in children.
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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 | 0.005 | 0.024 |
| 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 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".