Evidence map›Paper›PMID 22005628›Full record

ArticlePreventing chronic disease2011

Demographic and geographic differences in exposure to secondhand smoke in Missouri workplaces, 2007-2008.

Jenine K Harris, Caroline Geremakis, Sarah Moreland-Russell, Bobbi J Carothers, Barbara Kariuki, Sarah C Shelton, Matthew Kuhlenbeck

Abstract readComparative Study
In one paragraph

Article in Preventing chronic disease, 2011. 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. Passive Smoking Indicators in Italy: Does the Gross Domestic Product Matter?International journal of environmental research and public health · 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

7 authors.

Jenine K HarrisGeorge Warren Brown School of Social Work, Washington University in St. Louis, Campus Box 1196, One Brookings Dr, Saint Louis, MO 63130, USA. jharris@brownschool.wustl.edu
Caroline Geremakis
Sarah Moreland-Russell
Bobbi J Carothers
Barbara Kariuki
Sarah C Shelton
Matthew Kuhlenbeck

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAfrican Americans, Hispanics, service and blue-collar workers, and residents of rural areas are among those facing higher rates of workplace secondhand smoke exposure in states without smokefree workplace laws. Consequently, these groups also experience more negative health effects resulting from secondhand smoke exposure. The objective of this study was to examine disparities in workplace secondhand smoke exposure in a state without a comprehensive statewide smokefree workplace law and to use this information in considering a statewide law.

methodsWe developed a logistic multilevel model by using data from a 2007-2008 county-level study to account for individual and county-level differences in workplace secondhand smoke exposure. We included sex, age, race, annual income, education level, smoking status, and rural or urban residence as predictors of workplace secondhand smoke exposure.

resultsFactors significantly associated with increased exposure to workplace secondhand smoke were male sex, lower education levels, lower income, living in a small rural or isolated area, and current smoking. For example, although the overall rate of workplace exposure in Missouri is 11.5%, our model predicts that among young white men with low incomes and limited education living in small rural areas, 40% of nonsmokers and 56% of smokers may be exposed to secondhand smoke at work.

conclusionSignificant disparities exist in workplace secondhand smoke exposure across Missouri. A statewide smokefree workplace law would protect all citizens from workplace secondhand smoke exposure.

Indexed as

Healthcare DisparitiesHealth Status DisparitiesAdultCross-Sectional StudiesFemaleHumansMaleMissouriPrevalenceRetrospective StudiesRisk FactorsSmokingSocioeconomic FactorsSurveys and QuestionnairesTobacco Smoke PollutionWorkplaceTobacco Smoke Pollution

Identifiers

PMID22005628
PMCPMC3221576

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.