Use of Cigarettes and Other Tobacco Products Among Students Aged 13-15 Years—Worldwide, 1999-2005
Bibliographic record
Abstract
The use of tobacco in any form is a major preventable cause of premature death and disease. Globally, nearly 5 million persons die every year from tobacco-related illnesses, with disproportionately higher mortality occurring in developing countries. The Global Youth Tobacco Survey (GYTS), initiated in 1999 by the World Health Organization (WHO), CDC, and the Canadian Public Health Association, is a school-based survey that includes questions on prevalence of cigarette and other tobacco use; attitudes toward tobacco; access to tobacco products; exposure to secondhand smoke, school curricula on tobacco, media, and advertising; and smoking cessation. This report presents estimates of self-reported cigarette and other tobacco-product use during 1999-2005 in 132 different countries and the Gaza Strip/West Bank. The data are aggregated within each of the six WHO regions. GYTS data indicate that nearly two of every 10 students reported currently using a tobacco product, with no statistically significant difference between the proportion of those reporting cigarette smoking (8.9%) and other tobacco use (11.2%). Use of tobacco by adolescents is a major public health problem in all six WHO regions. Worldwide, more countries need to develop, implement, and evaluate their tobacco-control programs to address the use of all types of tobacco products, especially among girls.
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 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 | 0.000 |
| 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".