Evidence map›Paper›PMID 28103827›Full record

ArticleBMC public health2017

Secondhand smoke exposure at home among middle and high school students in the United States - does the type of tobacco product matter?

Florian Fischer, Alexander Kraemer

Abstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Florian FischerDepartment of Public Health Medicine, School of Public Health, Bielefeld University, P.O. Box 100 131, 33501, Bielefeld, Germany. f.fischer@uni-bielefeld.de.ORCID 0000-0002-4388-1245
Alexander KraemerDepartment of Public Health Medicine, School of Public Health, Bielefeld University, P.O. Box 100 131, 33501, Bielefeld, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA decline in the prevalence of secondhand smoke (SHS) exposure has been observed in the United States of America (USA) during the past few decades. Nevertheless, nearly half of non-smoking students are still exposed to SHS. This paper aims to describe the factors associated with SHS exposure stratified by type of exposure (overall, cigarettes and electronic cigarettes).

methodsThe analysis is based on secondary data taken from the National Youth Tobacco Survey 2014. Overall, 22,007 middle and high school students from the USA are included in the sample. Descriptive and bivariate statistics as well as binary logistic regression models were performed.

resultsOverall, 44.5% (n=9,798) of the study participants declared themselves to be exposed to SHS, 29.1% (n=6,394) declared to be exposed to SHS caused by cigarette smoke and 9.4% (n=2,067) claimed that a person who lives with them uses electronic cigarettes. There is a considerable overlap between the two types of SHS exposure, because 74.9% (n=1,548) of students declaring that a person within their household uses electronic cigarettes also declare a person in the household smoking cigarettes. The strengths of association between independent variables and SHS exposure differs by type of exposure and also by smoking status of respondents.

conclusionsAlthough only small differences are obvious in the factors associated with SHS exposure stratified by the type of tobacco product, there are still some variations which should be considered in policy making to allow for a targeted approach in prevention campaigns or legislation.

Indexed as

AdolescentChildElectronic Nicotine Delivery SystemsEnvironmental ExposureFamily CharacteristicsFemaleHumansMalePrevalenceStudentsSurveys and QuestionnairesTobacco ProductsTobacco Smoke PollutionUnited StatesTobacco Smoke PollutionNational Youth Tobacco SurveySecondhand smokeStudentsUnited StatesUSA

Identifiers

PMID28103827
PMCPMC5248465

What OpenQuestion holds

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Registered trials

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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.