Associations Between Health Compromising Behaviorsand Sleep Patterns in Portuguese Adolescents
Bibliographic record
Abstract
Introduction: The pattern of sleep plays an important role in protecting the adolescents’ health. The main objective of this research is to determine the relationship between sufficient sleep (≥ 8 hours of sleep per night on school days) and health-risk behaviours in Portuguese adolescents. Methods: 5,050 participants with an average age of 13.98 (DP ± 1.85), 52.3% of which were female. The instrument used was the Health Behaviour in School-aged Children 2010 (HBSC) questionnaire. The associations were studied by applying χ² tests and the multivariate logistic regression models. Results: A significant percentage of adolescents (39%) get less than 8 hours sleep on weekdays. Sufficient sleep (≥ 8 h) is associated with younger age: adolescents between the ages of 13 and 15 (OR=0.549, p<.05) and those aged 16 or older (OR=0.291, p<.05) sleep less, as well as with less consumption of tobacco (OR=0.728, p<.05) and alcohol (OR=0.837, p<.05), a lower level of sadness (OR=0.786, p<.05) and a lower tendency to use the computer for 3 hours or more a day (OR=0.829, p<.05). Conclusion: The adolescents’ pattern of sleep is an important feature in adolescents lifestyles being associated to a large range of health and health compromising behaviours.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".