Evidence map›Paper›PMID 31516462›Full record

ArticleTobacco induced diseases2018

Prevalence and correlates of different smoking bans in homes and cars among smokers in six countries of the EUREST-PLUS ITC Europe Surveys.

Marcela Fu, Yolanda Castellano, Olena Tigova, Christina N Kyriakos, Geoffrey T Fong, Ute Mons, Witold A Zatoński, Thomas K Agar, Anne C K Quah, Antigona C Trofor and 6 more

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Factors Related to a Smoke-free Home Status: A Parental Report.Asian Pacific journal of cancer prevention : APJCP · 2021
    Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Marcela FuCatalan Institute of Oncology, Catalonia, Spain.
Yolanda CastellanoCatalan Institute of Oncology, Catalonia, Spain.
Olena TigovaCatalan Institute of Oncology, Catalonia, Spain.
Christina N KyriakosEuropean Network on Smoking and Tobacco Prevention (ENSP), Brussels, Belgium.
Geoffrey T FongUniversity of Waterloo (UW), Waterloo, Canada.
Ute MonsCancer Prevention Unit and WHO Collaborating Centre for Tobacco Control, German Cancer Research Centre (DKFZ), Heidelberg, Germany.
Witold A ZatońskiHealth Promotion Foundation (HPF), Warsaw, Poland.
Thomas K AgarUniversity of Waterloo (UW), Waterloo, Canada.
Anne C K QuahUniversity of Waterloo (UW), Waterloo, Canada.
Antigona C TroforUniversity of Medicine and Pharmacy 'Grigore T. Popa' Iasi, Iasi, Romania.
Tibor DemjénSmoking or Health Hungarian Foundation (SHHF), Budapest, Hungary.
Krzysztof PrzewoźniakHealth Promotion Foundation (HPF), Warsaw, Poland.
Yannis TountasNational and Kapodistrian University of Athens (UoA), Athens, Greece.
Constantine I VardavasEuropean Network on Smoking and Tobacco Prevention (ENSP), Brussels, Belgium.
Esteve FernándezCatalan Institute of Oncology, Catalonia, Spain.
EUREST-PLUS consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSecond-hand smoke exposure has decreased in a number of countries due to widespread smoke-free legislation in public places, but exposure is still present in private settings like homes and cars. Our objective was to describe to what extent smokers implement smoking rules in these settings in six European Union (EU) Member States (MS).

methodsA cross-sectional survey was conducted with a nationally representative sample of adult smokers from Germany, Greece, Hungary, Poland, Romania and Spain (ITC six European countries survey, part of the EUREST-PLUS Project). We analysed data from 6011 smokers regarding smoking rules in their homes and in cars with children (no rules, partial ban, total ban). We described the prevalence of smoking rules by EU MS and several sociodemographic and smoking characteristics using prevalence ratios (PR) and 95% confidence intervals (CI) derived from Poisson regression models. \.

resultsIn homes, 26.5% had a total smoking ban (from 13.1% in Spain to 35.5% in Hungary), 44.7% had a partial ban (from 41.3% in Spain to 49.9% in Greece), and 28.8% had no-smoking rules (from 20.2% in Romania to 45.6% in Spain). Prevalence of no-smoking rules in cars with children was 16.2% (from 11.2% in Germany to 20.4% in Spain). The correlates of not restricting smoking in homes and cars included: low education (PR=1.51; 95%CI: 1.20-1.90 and PR=1.55; 95%CI: 1.09-2.20), smoking >30 cigarettes daily (PR=1.53; 95%CI: 1.10-2.14 and PR=2.66; 95%CI: 1.40-5.05) and no attempts to quit ever (PR=1.18; 95%CI: 1.06-1.31 and PR=1.28; 95%CI: 1.06-1.54).

conclusionsAmong smokers in six EU MS, no-smoking rules were more prevalent in homes than in cars with children. Whilst awareness about the health effects of exposure to tobacco smoke on children seemed to be high, more research is needed to better understand the factors that promote private smoke-free environments.

Indexed as

Europeprivate settingssmokersvoluntary smoke-free regulationWHO FCTC

Identifiers

PMID31516462
PMCPMC6661853

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.