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Record W2468529248

Legislative Smoking Bans for Reducing Secondhand Smoke Exposure, Smoking Prevalence and Tobacco Consumption

2011· article· en· W2468529248 on OpenAlexaboutno aff
Janice Christie

Bibliographic record

VenueInternational public health journal · 2011
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental healthMedicinePopulationTobacco controlPsychological interventionSmoking banPublic healthNursing
DOInot available

Abstract

fetched live from OpenAlex

IntroductionA Cochrane systematic review was undertaken to answer the question: does legislation to ban or restrict tobacco smoking reduce exposure to secondhand smoke and smoking behaviour?Relevance for nursingSmoking bans are environmental, population-focused approaches that aim to rReducetion in both tobacco smoking behaviours and secondhand smoke exposure. through smoking bans impact the environment and hence population health. Often bans are accompanied by education regarding the need for the ban and support services thato help smokers use the opportunity to quit or reduce their tobacco consumption. Therefore, smoking bans can be associated with the 'settings approach' to health promotion derived from the World Health Organisation's Ottawa Charter (1986). Thise Charter supports population and individual health through integrated, coordinated and multi-dimensional interventions.Study characteristicsAThis was a Cochrane systematic review was undertaken thatwhich produced a 'narrative only' synthesis of 50 studies. Studies (with reported numbers of participants) had samples ranging from of 24 to 10413 subjects. No randomised controlled trials were identified that met review inclusion criteria., Nonethelesshowever, 13 non-randomised controlled studies (quasi-experimental designs) were included; of these 7, were located in a general or workplace setting and 6six related to hospital admissions. A further 37 studies which lacked a control group but recorded data from participants pre and post intervention were also included in the review. In total, In 16 16 of reviewed studies used random sampling was used to select participants from a target population, 11 employed convenience sampling, 5five used randomly selected clusters of bars/public houses; 5five sampling methods were unclear and 2two studies utilised mixed sampling methods.No age, gender or geographic limits were placed on study samples included in the review. ReviewedIncluded studies followed participants for a minimum of six months following the ban (except for 8 studies which measured exposure to second hand smoke). Eight study authors identified that small sample size or low statistical power limited the generalisability of their research findings. No age, gender or geographic limit was placed on participants in reviewed studies. A risk of bias summary table was not included in the review; however, the reviewers note that one source of bias (blinding participants to receipt of the intervention) was not possible in any study, due to the nature of the ban interventions. Eight study authors identified that small sample size or low statistical power was a limitation to the generalisability of their research findings.The most commonly reviewed intervention was a comprehensive legislative ban on indoor smoking that was comprehensive within indoor sites (a total ban in 40 studies). An additional 10Ten ?restriction' intervention studies were also included ; these permitted which the reviewers classified as 'restrictions' as they allowed smoking within a designated area. Twenty two of the reviewed studies were conducted in workplaces, most of these (19) targeted the health of hospitality workers in bars or restaurants. The reviewed studies included bans in 13 countries, mostly the USA (17) or Scotland (8). Exposure to secondhand smoke was collectedmeasured by participants' self-report recordingof either the 'duration of exposure' or 'percentage sample exposed'. Some researchers (mostly those conducting large population studies) also took biochemical samples e.g. of saliva, to validate self-reports. Measures such as: smoking prevalence, tobacco consumption, smoking cessation, and respiratory, cardiac or sensory health outcomes were also considered by the reviewers. …

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 imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.033
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.008
Bibliometrics0.0080.007
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.187
GPT teacher head0.380
Teacher spread0.193 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2011
Admission routes1
Has abstractyes

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