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Record W4240440173 · doi:10.1001/jama.298.1.34

Exposure to Secondhand Smoke Among Students Aged 13-15 Years—Worldwide, 2000-2007

2007· article· en· W4240440173 on OpenAlexaboutno aff

Bibliographic record

VenueJAMA · 2007
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSecondhand smokeEnvironmental healthAsthmaPublic healthPassive smokingTobacco smokeTobacco controlSudden infant death syndromeLung cancerLung diseasePediatricsLungInternal medicine

Abstract

fetched live from OpenAlex

Breathing secondhand smoke (SHS) causes heart disease and lung cancer in adults and increased risks for sudden infant death syndrome, acute respiratory infections, middle-ear disease, worsened asthma, respiratory symptoms, and slowed lung growth in children. No risk-free level of exposure to SHS exists. The Global Youth Tobacco Survey (GYTS), initiated in 1999 by the World Health Organization (WHO), the Canadian Public Health Association, and CDC includes questions related to tobacco use, including exposure to SHS. This report examines data collected from 137 jurisdictions (i.e., countries and territories) during 2000-2007, presents estimates of exposure to SHS at home and in places other than the home among students aged 13-15 years who had never smoked, and examines the association between exposure to SHS and susceptibility to initiating smoking. GYTS data indicated that nearly half of never smokers were exposed to SHS at home (46.8%), and a similar percentage were exposed in places other than the home (47.8%). Never smokers exposed to SHS at home were 1.4-2.1 times more likely to be susceptible to initiating smoking than those not exposed. Students exposed to SHS in places other than the home were 1.3-1.8 times more likely to be susceptible to initiating smoking than those not exposed. As part of their comprehensive tobacco-control programs, countries should take measures to create smoke-free environments in all indoor public places and workplaces.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.021
GPT teacher head0.312
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations48
Published2007
Admission routes1
Has abstractyes

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