Evidence map›Paper›PMID 26857509›Full record

ArticleDeutsches Arzteblatt international2016

Smoking and Passive Smoke Exposure Among Adolescents in Germany.

Benjamin Kuntz, Thomas Lampert

Abstract read
In one paragraph

Article in Deutsches Arzteblatt international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  10. [The association between school tobacco policies and the perceived smoking prevalence of adolescents].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2021
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  19. Adult exposure to passive smoking in Germany.Journal of health monitoring · 2018
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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

2 authors.

Benjamin KuntzDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin.
Thomas Lampert

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildren and adolescents are the most important target group for smoking prevention and non-smoker protection measures (smoke-free legislation). In this article, we discuss trends over time and differences between social groups with regard to smoking and passive smoke exposure among adolescents in Germany.

methodsThe data evaluated in this article were collected in two different study periods of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS), namely, 2003-2006 and 2009-2012. Adolescents aged 11 to 17 were asked about their smoking behavior and passive smoke exposure (6812 and 5258 respondents in the two study periods, respectively). Their social status was rated with an index based on information supplied by the adolescents' parents about their level of education, occupation, and income.

resultsThe prevalence of smoking among adolescents fell in approximately six years from 20.4% to 12.0% (p< 0.001), and that of daily smoking from 13.3% to 5.4% (p<0.001). The percentage of non-smokers who spent time several days per week, or every day, in rooms where other persons were smoking declined from 35.1% to 18.8% (p<0.001). The lower the respondents' social status, the more likely they were to smoke daily and to have regular passive exposure to smoking.

conclusionThe findings suggest that the measures implemented in recent years to protect adolescents from the health risks of active and passive smoking have been beneficial independently of the adolescents' social backgrounds.

Indexed as

Social ClassAdolescentAdolescent HealthChildEducational StatusEmploymentEnvironmental ExposureFemaleGermanyHumansIncomeMaleParentsPrevalenceSmokingSocioeconomic FactorsTobacco Smoke Pollution

Identifiers

PMID26857509
PMCPMC4748148

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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.