Differences in physical activity, eating habits and risk of obesity among Kuwaiti adolescent boys and girls: a population-based study
Bibliographic record
Abstract
The study aimed to assess gender differences among Kuwaiti adolescents in healthy living choices that impact the risk of obesity. A cross-sectional multistage cluster design was employed with a representative sample of 2672 students aged 13-15 years who completed a self-administered Global School-based Student Health (GSHS) survey. The study found that around 48.0% of adolescents were overweight and obese. More boys than girls were obese (28.2% vs. 22.3%, p < 0.0001). However, boys were more likely than girls to report healthy food choices regarding fruit (38.1% vs. 33.2%), and vegetables (21.8% vs. 16.7%). Only 20.7% of adolescents reported physical activity for more than 60 min/day, predominately by boys rather than girls (30.8% vs. 10.5%, respectively, p < 0.0001). Multivariate analysis revealed that male gender, skipping breakfast and physical inactivity were significantly correlated with the risk of overweight and obesity among adolescents. These results suggest that lifestyle education for promoting healthy body masses targeting adolescents should take gender into account.
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.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".