ArticleRevista panamericana de salud publica = Pan American journal of public health2014
Cohort study of smoke-free homes in economically disadvantaged communities in the Dominican Republic.
Article in Revista panamericana de salud publica = Pan American journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The trial behind it
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Prevailing familial, social and cultural obstacles in keeping tobacco-free homes in urban areas of Bangladesh: A mixed-method study.PloS one · 2019Article
- An exploratory study of knowledge, attitudes, and beliefs related to tobacco use and secondhand smoke among women in Aleta Wondo, Ethiopia.BMC women's health · 2018Article
- Smoke-Free Home and Vehicle Policies Among Community College Smokers.Health education & behavior : the official publication of the Society for Public Health Education · 2018Article
- Tobacco Cessation in Economically Disadvantaged Dominican Republic Communities: Who are the Ex-Users?Journal of smoking cessation · 2016Article
- Factors associated with secondhand tobacco smoke in the home: an exploratory cross-sectional study among women in Aleta Wondo, Ethiopia.BMC public health · 2016Article
- Development and Implementation of Culturally Tailored Offline Mobile Health Surveys.JMIR public health and surveillance · 2016Article
- Lessons Learned from Twelve Years of Partnered Tobacco Cessation Research in the Dominican Republic.Journal of smoking cessation · 2016Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
objectiveTo analyze household smoking-ban prevalence over time and predictors among communities in the Dominican Republic, historically a significant tobacco-growing country with few tobacco control regulations.
methodsBaseline (2004) and follow-up surveillance surveys (2006, 2007) (each n > 1 000 randomly selected households) conducted in six economically disadvantaged communities (three tobacco-growing and two each urban, peri-urban, and rural) assessed household members' demographics, health status, and household characteristics, including smoking restrictions.
resultsBetween 2004 and 2007, household smoking-ban prevalence increased in all communities, with overall rates increasing from 23.9% (2004) to 45.3% (2007). Households with smokers adopted smoking bans at lower rates (6%-17%) versus those without smokers (which had an adoption rate of 35%-58%). Logistic regression models demonstrated that the associations between allowing smoking in households with no members who smoked and being located in a tobacco-growing community, being a Catholic household, and having a member with a cardiovascular problem were statistically significant. The association between having a child under age 5 or a member with a respiratory condition and prohibiting smoking in the home was not statistically significant.
conclusionsPrevalence of households banning smoking increased in all communities but remained well below rates in industrialized countries. For low- and middle-income countries or those in early stages of tobacco control, basic awareness-raising measures (including surveillance activities) may lead to statistically significant increases in household smoking-ban adoption, particularly among households with no smokers. An increase in household smoking-ban prevalence may result in changes in community norms that can lead to a further increase in the adoption of smoking bans. Having household members who smoke and being in a tobacco-growing community may mitigate the establishment of household bans. Increasing individuals' knowledge about the far-reaching health effects of secondhand smoke exposure on children and nonsmoking adults (healthy or unhealthy) may help overcome these obstacles.
Indexed as
Identifiers
24626445PMC4458847W1857213316What OpenQuestion holds
Registered trials
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.