Literature DB >> 15261899

Home smoking restrictions. Problems in classification.

Elizabeth A Mumford1, David T Levy, Eduardo O Romano.   

Abstract

BACKGROUND: Evidence of the effectiveness of smoking restrictions in workplaces and other public places is creating awareness of the role of bans in private spaces. The purpose of this study was to examine who is affected by strict home smoking bans at the household level.
METHODS: Using the 1998/1999 Tobacco Use Supplement to the U.S. Current Population Survey, we examined the characteristics of 43,613 households with two or more adults who responded to the home ban question. Analyses were conducted in 2003-2004.
RESULTS: An estimated 12% of sample households provided inconsistent reports about home smoking bans. Multimember households with smokers were substantially less likely to consistently report strict home bans. Discrepancies vary systematically by smoking behavior, socioeconomic status, and race/ethnicity. Children living with smokers are especially at risk of inconsistent adult reports.
CONCLUSIONS: Analyses should not rely on individual reports of home bans, especially in households with smokers and children. Policies should be directed toward educating members of households with smokers and children about the importance of household bans.

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Year:  2004        PMID: 15261899     DOI: 10.1016/j.amepre.2004.04.001

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  18 in total

1.  "How is smoking handled in your home?": agreement between parental reports on home smoking bans in the United States, 1995-2007.

Authors:  Xiao Zhang; Ana P Martinez-Donate; Daphne Kuo; Nathan R Jones
Journal:  Nicotine Tob Res       Date:  2012-02-29       Impact factor: 4.244

2.  A second reporter matters: agreement between parents' and children's reports of smoking bans in families.

Authors:  Ding Ding; Dennis R Wahlgren; Sandy Liles; Georg E Matt; McKenzie Oliver; Jennifer A Jones; Melbourne F Hovell
Journal:  Am J Prev Med       Date:  2011-05       Impact factor: 5.043

3.  Formative research on creating smoke-free homes in rural communities.

Authors:  Cam Escoffery; Michelle Crozier Kegler; Susan Butler
Journal:  Health Educ Res       Date:  2008-01-24

4.  Trends in home smoking bans in the U.S.A., 1995-2007: prevalence, discrepancies and disparities.

Authors:  Xiao Zhang; Ana P Martinez-Donate; Daphne Kuo; Nathan R Jones; Karen A Palmersheim
Journal:  Tob Control       Date:  2011-08-03       Impact factor: 7.552

5.  Impact of changes in home smoking bans on tobacco cessation among quitline callers.

Authors:  Nicole P Yuan; Uma S Nair; Tracy E Crane; Laurie Krupski; Bradley N Collins; Melanie L Bell
Journal:  Health Educ Res       Date:  2019-06-01

6.  Association between clean indoor air laws and voluntary smokefree rules in homes and cars.

Authors:  Kai-Wen Cheng; Cassandra A Okechukwu; Robert McMillen; Stanton A Glantz
Journal:  Tob Control       Date:  2013-10-10       Impact factor: 7.552

7.  Predicting home smoking restrictions among African American light smokers.

Authors:  Jennifer R Warren; Kolawole S Okuyemi; Hongfei Guo; Janet L Thomas; Jasjit S Ahluwalia
Journal:  Am J Health Behav       Date:  2010 Jan-Feb

8.  Home and workplace smoking bans in Italy, Ireland, Sweden, France and the Czech Republic.

Authors:  J E Heck; I Stücker; S Allwright; E R Gritz; M Haglund; C G Healton; E Kralikova; S Sanchez Del Mazo; E Tamang; C M Dresler; M Hashibe
Journal:  Eur Respir J       Date:  2009-11-19       Impact factor: 16.671

9.  Longitudinal study of household smoking ban adoption among Korean Americans.

Authors:  Suzanne C Hughes; Isabel A Corcos; C Richard Hofstetter; Melbourne F Hovell; Veronica L Irvin
Journal:  Am J Prev Med       Date:  2009-11       Impact factor: 5.043

10.  Association between home smoking restrictions and changes in smoking behaviour among employed women.

Authors:  Donald R Shopland; Christy M Anderson; David M Burns
Journal:  J Epidemiol Community Health       Date:  2006-09       Impact factor: 3.710

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