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Demographic and Geographic Differences in Exposure to Secondhand Smoke in Missouri Workplaces, 2007-2008

INTRODUCTION: African 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 res...

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Autores principales: Harris, Jenine K., Geremakis, Caroline, Moreland-Russell, Sarah, Carothers, Bobbi J., Shelton, Sarah C., Kariuki, Barbara, Kuhlenbeck, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3221576/
https://www.ncbi.nlm.nih.gov/pubmed/22005628
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author Harris, Jenine K.
Geremakis, Caroline
Moreland-Russell, Sarah
Carothers, Bobbi J.
Shelton, Sarah C.
Kariuki, Barbara
Kuhlenbeck, Matthew
author_facet Harris, Jenine K.
Geremakis, Caroline
Moreland-Russell, Sarah
Carothers, Bobbi J.
Shelton, Sarah C.
Kariuki, Barbara
Kuhlenbeck, Matthew
author_sort Harris, Jenine K.
collection PubMed
description INTRODUCTION: African 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. METHODS: We 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. RESULTS: Factors 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. CONCLUSION: Significant disparities exist in workplace secondhand smoke exposure across Missouri. A statewide smokefree workplace law would protect all citizens from workplace secondhand smoke exposure.
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spelling pubmed-32215762011-12-05 Demographic and Geographic Differences in Exposure to Secondhand Smoke in Missouri Workplaces, 2007-2008 Harris, Jenine K. Geremakis, Caroline Moreland-Russell, Sarah Carothers, Bobbi J. Shelton, Sarah C. Kariuki, Barbara Kuhlenbeck, Matthew Prev Chronic Dis Original Research INTRODUCTION: African 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. METHODS: We 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. RESULTS: Factors 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. CONCLUSION: Significant disparities exist in workplace secondhand smoke exposure across Missouri. A statewide smokefree workplace law would protect all citizens from workplace secondhand smoke exposure. Centers for Disease Control and Prevention 2011-10-15 /pmc/articles/PMC3221576/ /pubmed/22005628 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Original Research
Harris, Jenine K.
Geremakis, Caroline
Moreland-Russell, Sarah
Carothers, Bobbi J.
Shelton, Sarah C.
Kariuki, Barbara
Kuhlenbeck, Matthew
Demographic and Geographic Differences in Exposure to Secondhand Smoke in Missouri Workplaces, 2007-2008
title Demographic and Geographic Differences in Exposure to Secondhand Smoke in Missouri Workplaces, 2007-2008
title_full Demographic and Geographic Differences in Exposure to Secondhand Smoke in Missouri Workplaces, 2007-2008
title_fullStr Demographic and Geographic Differences in Exposure to Secondhand Smoke in Missouri Workplaces, 2007-2008
title_full_unstemmed Demographic and Geographic Differences in Exposure to Secondhand Smoke in Missouri Workplaces, 2007-2008
title_short Demographic and Geographic Differences in Exposure to Secondhand Smoke in Missouri Workplaces, 2007-2008
title_sort demographic and geographic differences in exposure to secondhand smoke in missouri workplaces, 2007-2008
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3221576/
https://www.ncbi.nlm.nih.gov/pubmed/22005628
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