Modifiable characteristics associated with sedentary behaviours among youth
Bibliographic record
Abstract
OBJECTIVE: Childhood overweight and obesity is a major public health issue. A better understanding of factors associated with sedentary behaviours would provide valuable insight for tailoring interventions to prevent or reduce overweight among youth. METHODS: Data were collected from 25,416 grade 9 to 12 students attending 76 secondary schools in Ontario, Canada, using the Physical Activity Module of the School Health Action, Planning and Evaluation System (SHAPES). Sex specific multivariate logistic regression analyses were then used to examine how physical activity, BMI, social influences, and smoking behaviour were associated with screen time, time spent reading, and time spent on homework. RESULTS: The average screen time per day was 2.7 (+/-1.7) hours, yet 48.1% of students reported spending less than one hour reading per week and 30.2% spent less than an hour of time on homework per week. Among males, being underweight (< or = 5% percentile BMI, adjusted for age and sex) was associated with more screen time (OR 1.23, 95%CI 1.01-1.50) and time spent reading (OR 1.19, 95%CI 1.00-1.43), whereas being at risk of overweight (> or = 85% percentile BMI, adjusted for age and sex) was associated with less time spent on homework (OR 0.75, 95%CI 0.65-0.85). Conversely, among females, being at risk of overweight was associated with more screen time (OR 1.24, 95%CI 1.10-1.41), and time spent reading (OR 1.19, 95%CI 1.05-1.35). Aside from BMI, other factors associated with sedentary behaviours included physical activity, parental encouragement and support for physical activity, close friend physical activity behaviour, and smoking status. DISCUSSION: We found that students are highly involved in screen-based sedentary behaviours, but spend a limited time on more productive sedentary behaviours, like reading and homework. Developing a better understanding of sedentary behaviours is critical for preventing and reducing obesity among youth populations.
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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 | 0.000 | 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 | 0.001 |
| 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".