[Smoking initiation and watching television, video, DVD among adolescents in Poland].
Bibliographic record
Abstract
The aim of the study was to analyse the relationship between smoking initiation and the time spent watching TV, video, DVD by adolescents 11, 13, and 15-year-old in Poland. The research was conducted in 2010 as a part of Health Behaviour in School-aged Children: A WHO Collaborative Cross-national Study (HBSC) in a sample of 4751 students, using a standard, international HBSC questionnaire. It was found that there is a relationship between smoking attempts made by the young people and time spent watching TV during weekdays. In the analyzes using logistic regression combined variable relating to the time to watch TV on weekdays and weekends was used. Nearly a quarter of respondents (24.3%) were qualified to the group of adolescents spending too much time in front of the screen. Age was the strongest predictor of smoking onset. Between 11 and 13 years of age the risk of taking the first cigarette increased three times, and between 11 and 15 years of age more than seven times. Relative risk of smoking attempts related to gender and frequency of watching television, video or DVD was both equal to 1.5. In smoking prevention focused on adolescents it is should be better to pay more attention on constructive leisure time activities, and the role of parents in shaping pro-health attitudes. This is particularly important in the initial stages of schooling, when to develop and enhance the psychosocial competences as a the protective factor of risk taking behaviors among adolescents.
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 | 0.001 |
| 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) | 0.002 | 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".