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Strict smoke-free home policies among smoking parents in pediatric settings.

ABSTRACT: To examine strict smoke-free home policies among smoking parents assessed in pediatric offices.We analyzed baseline parental survey data from 10 control practices in a national trial of pediatric office-based tobacco control interventions (Clinical Effort Against Secondhand Smoke Exposure, CEASE). We used logistic regression models with generalized estimating equations to examine factors associated with strict smoke-free home policies.Subjects were 952 parents who were current smokers. Just over half (54.3%) reported strict smoke-free home policies. Few reported being asked (19.9%) or advised (17.1%) regarding policies by pediatricians. Factors associated with higher odds of policies were child 5 years or younger (adjusted odds ratio [aOR] 2.43, 95% confidence interval [CI] 1.53, 3.86), nonblack race/ethnicity (aORs 2.17-2.60, 95% CIs 1.25-5.00), non-Medicaid (HMO/private (aOR 1.84, 95% CI 1.31, 2.58); self-pay/other aOR 1.76, 95% CI 1.12, 2.78); well-child versus sick child visit (aOR 1.61, 95% CI 1.11, 2.34), fewer than 10 cigarettes per day (aOR 1.80, 95% CI 1.31, 2.47), no other home smokers (aOR 1.68, 95% CI 1.26, 2.25), only father smoking (aOR 1.73, 95% CI 1.06, 2.83), and strict smoke-free car policy (aOR 3.51, 95% CI 2.19, 5.64).Nearly half of smoking parents did not have strict smoke-free home policies. Parents were less likely to report policies if they were heavier smokers, black, living with other smokers, or attending a sick child visit; if they did not have a young child or smoke-free car policy; if they had a child on Medicaid; and if anyone other than only the father smoked. Few pediatricians addressed or recommended strict smoke-free home policies in an office visit. The pediatric office encounter represents a currently missed opportunity to intervene regarding smoke-free homes, particularly for high-risk groups.

SUBMITTER: Ossip DJ

PROVIDER: S-EPMC4046861 | biostudies-literature | 2013 Nov-Dec

REPOSITORIES: biostudies-literature

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Strict smoke-free home policies among smoking parents in pediatric settings.

Ossip Deborah J DJ Chang Yuchiao Y Nabi-Burza Emara E Drehmer Jeremy J Finch Stacia S Hipple Bethany B Rigotti Nancy A NA Klein Jonathan D JD Winickoff Jonathan P JP

Academic pediatrics 20131101 6

<h4>Objective</h4>To examine strict smoke-free home policies among smoking parents assessed in pediatric offices.<h4>Methods</h4>We analyzed baseline parental survey data from 10 control practices in a national trial of pediatric office-based tobacco control interventions (Clinical Effort Against Secondhand Smoke Exposure, CEASE). We used logistic regression models with generalized estimating equations to examine factors associated with strict smoke-free home policies.<h4>Results</h4>Subjects we ...[more]

PMID: 24238677

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Project description:IntroductionParents/guardians can effectively reduce tobacco smoking and secondhand smoke exposure among youth by adopting and enforcing rules against indoor tobacco smoking (ie, home smoke-free policies). We investigate home smoke-free policies from childhood to adolescence in the United States and across rural, suburban, and urban households.Aims and methodsWe analyzed 2019-2020 National Survey of Children's Health data from n = 5,955 parents of youth aged 0-17, living at home with a tobacco smoker in the United States (U.S). Geographical categories were: rural, suburban, and urban. Home smoke-free policy reflected prohibiting tobacco smoking inside the home. Weighted logistic regressions examined the (1) association between youth age and home smoke-free policies, (2) interaction between geographic category and youth age, and (3) differing associations between youth age and home smoke-free policies by geography. Models controlled for youth race, ethnicity, sex, parental education, household annual income, and home structure.ResultsApproximately 13.2% of U.S. households with a smoker did not have a home smoke-free policy. Stratified analyses found one-year increase in youth age was associated with lower odds of having a home smoke-free policy in rural (aOR:0.91; 95%CI: 0.87-0.95) and urban (aOR: 0.96; 95%CI: 0.92-1.00; p = .039), but not suburban (aOR:1.00; 95%CI: 0.95-1.05) households, controlling for covariates.ConclusionOdds of having a smoke-free home in the U.S. declined significantly in rural (9% per year) and urban (4%) but not suburban (0%) households. We quantify declines in home smoke-free policies as children age and identify geographic disparities for this environmental determinant of health.ImplicationsHealth promotion efforts targeting secondhand smoke prevention is needed, particularly for parents of older youth. Furthermore, there is a clear geographic bias in secondhand smoke exposure among all youth particularly older youth. Tailored interventions are needed to address geographic disparities in secondhand smoke exposure among rural and urban youth.

Project description:IntroductionThe workplace and home are sources of exposure to secondhand smoke, a serious health hazard for nonsmoking adults and children. Smoke-free workplace policies and home rules protect nonsmoking individuals from secondhand smoke and help individuals who smoke to quit smoking. However, estimated population coverages of smoke-free workplace policies and home rules are not typically available at small geographic levels such as counties. Model-based small-area estimation techniques are needed to produce such estimates.MethodsSelf-reported smoke-free workplace policies and home rules data came from the 2014-2015 Tobacco Use Supplement to the Current Population Survey. County-level design-based estimates of the two measures were computed and linked to county-level relevant covariates obtained from external sources. Hierarchical Bayesian models were then built and implemented through Markov Chain Monte Carlo methods.ResultsModel-based estimates of smoke-free workplace policies and home rules were produced for 3134 (of 3143) US counties. In 2014-2015, nearly 80% of US adult workers were covered by smoke-free workplace policies, and more than 85% of US adults were covered by smoke-free home rules. We found large variations within and between states in the coverage of smoke-free workplace policies and home rules.ConclusionsThe small-area modeling approach efficiently reduced the variability that was attributable to small sample size in the direct estimates for counties with data and predicted estimates for counties without data by borrowing strength from covariates and other counties with similar profiles. The county-level modeled estimates can serve as a useful resource for tobacco control research and intervention.ImplicationsDetailed county- and state-level estimates of smoke-free workplace policies and home rules can help identify coverage disparities and differential impact of smoke-free legislation and related social norms. Moreover, this estimation framework can be useful for modeling different tobacco control variables and applied elsewhere, for example, to other behavioral, policy, or health related topics.

Project description:IntroductionSmoking remains a major health risk factor and China is the world's largest consumer of tobacco. Smoke-free policies in public places are a powerful weapon in tobacco control. Therefore, the aim of this study was to assess the association between smoke-free policies in public places and smoking cessation among smokers in China from 2012 to 2020.MethodsIn this study, we assessed the impact of smoke-free public places policies on smoking cessation situation among smokers aged 16 years and older. We do this by conducting a difference-in-differences analysis using data from the China Family Panel Study (CFPS) 2012-2020.FindingsBy 2020, about 60.2% of the cities were covered by partial smoke-free policies and about 38.5% by comprehensive smoke-free policies. Based on the results of the study, we found that the medium-term effect model (Model 2, 2012:2016; Model 3, 2012:2018) of the impact of partial smoke-free policies on smoking cessation was not statistically significant using 2012 as the study baseline; the short-term effect model (Model 1; 2012:2014; P< .01) and the long-term effect model (Model 4; 2012:2020; P< .05) were statistically significant; the effect of a comprehensive smoke-free policy on smoking cessation (Model 5; 2012:2020; P<.05) was statistically significant.ConclusionChina's existing comprehensive smoke-free policies have had a modest impact on smoking cessation among the smoking population, and a strong, comprehensive national smoke-free law is urgently needed to achieve greater public health outcomes.ImplicationsSmoke-free policies are an important intervention to influence smoking behavior. This study demonstrates that comprehensive smoke-free policies in public places in China can effectively influence smoking behavior and show long-term trends in smoke-free behavior, while also reflecting the need to promote comprehensive smoke-free policies. This study provides a basis for the implementation of comprehensive smokefree policies into law and also provides a basis for policy makers.

Project description:The increasing denormalization of smoking by tobacco control policies and a normative smoke-free climate may shift power towards adolescent non-smokers. It is unclear, however, how common stigmatization of smokers is among adolescents or how stigmatization relates to the denormalization of smoking in their school and social environment. This paper aims to measure (1) whether stigmatization among European adolescents varies according to smoking status and socioeconomic position (SES), and (2) whether stigmatization is greater in school environments in which smoking is denormalized (i.e. those with low smoking rates and strong school tobacco policies). Data on 12,991 adolescents were collected in 55 schools in seven European countries (SILNE R-survey, 2016/17). We applied Stuber's adapted scale of perceived stereotyping and discrimination towards smokers to smoking status and five variables indicating a power shift towards non-smokers: the school's tobacco control policy (STP) score, the percentage of adolescents in the school who smoke, parents' level of education, students' academic performance, and the percentage of their friends who smoke. Multilevel regressions were applied to the global score for perceived stigmatization. Discrimination against smokers and stereotyping of smokers were frequently reported. Smokers reported less 'perceived stigmatization of smoking' than non-smokers (Beta = -0.146, p < 0.001). High-SES students reported stereotyping and discrimination more frequently than lower-SES students. The perception of stigmatization was lower among students whose academic performance was poor (Beta = -0.070, p < 0.001) and among those who had friends who smoked (Beta = -0.141, p < 0.001). Stigmatization was lower in schools with greater exposure to smoking and was not associated with the school's STP score. Perceived stigmatization of smoking is common among European adolescents. Smokers themselves, however, perceive stigmatization less often than non-smokers. Strong school tobacco policies do not increase stigmatization, but a social environment that is permissive of smoking decreases perceived stigmatization.

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Strict smoke-free home policies among smoking parents in pediatric settings.

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Strict smoke-free home policies among smoking parents in pediatric settings.

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