Association Between Socio-Emotional Health, Physical Activity and Screen Time Among Children
Bibliographic record
Abstract
Background Technological advancements have led to increased screen time and decreased Moderate to Vigorous Physical Activities (MVPA) among children. The impact of MVPA on children’s mental health is less explored compared to adults.Purpose This study investigated the relationship between children’s social-emotional health, MVPA, and screen time across different socioeconomic statuses (SES) in Bandar Abbas, Iran.Methods Primary school children completed questionnaires (n = 1041), analyzed for MVPA, screen time, and emotional health indicators.Results Lower SES children showed higher MVPA levels (23.11% active) than higher SES counterparts (11.8% active), but higher SES children exceeded 2 hours of screen time more (58.7% vs. 44.5%). Happiness correlated positively with MVPA, while worries negatively impacted MVPA. Sadness and worries increased screen time.Discussion Poor socio-emotional health was linked to increased screen time and decreased MVPA, limiting physical activity opportunities. Significant SES disparities suggest tailored interventions are crucial.Translation to Health Education Practice Addressing socio-emotional well-being is vital for promoting healthier lifestyles among Iranian children, emphasizing strategies to mitigate screen time and enhance MVPA.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".