The association of physical activity duration and intensity on emotional intelligence in 10–13 year-old Children
Bibliographic record
Abstract
Previous studies have shown that Physical Activity (PA) has a positive association with emotional health and intelligence in adolescents but none have focused on the relationship of PA duration and intensity on Emotional Intelligence (EI). The purpose of this study was to cross-sectionally assess the association of PA measures on overall EI and its domains in a cohort of 2029 adolescents aged 10–13 years of age in the National Longitudinal Survey for Children and Youth (NLSCY) from Canada. Multivariable linear regression analysis of EI was adjusted for age, sex, annual household income, and health status. One-way analysis of variance (ANOVA) was used to relate PA duration measured in minutes, frequency, and intensity categories with continuous GEI scores and also the corresponding scores for domains of GEI. The mean GEI scores were (28.3 ± 6.6) for 0–30 min (min) PA duration, (30.0 ± 6.5) for 30 to < 60 min, (30.8 ± 6.7) for 60–120 min, and (30.1 ± 6.5) for ≥121 min. There was a statistically significant linear trend across PA duration categories, p = 0.000 4. Post-hoc pairwise comparison revealed that compared to the referent category (<30 min PA category) was statistically significantly lower GEI than each of the other two PA categories (30–59 min; and 60–120 min), both p-values <0.01. Meeting World Health Organization (WHO) guidelines for duration and vigorous intensity were positively associated with the higher overall EI and its domains except for Stress Management.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".