Home smoking bans among U.S. households with children and smokers. Opportunities for intervention

Risk Factors for E-Cigarette Ban Relaxation in Homes With Adolescents

PURPOSE

To identify risk factors for relaxing a strict e-cigarette ban in households with adolescents.

METHODS

Youth (ages 12-17) in the Population Assessment of Tobacco and Health (PATH) Study whose parents held a strict vaping ban in 2016 (n = 6,514; 51.5% male) and their parents provided follow-up data on up to four occasions through 2020 on whether the ban was relaxed.

RESULTS

13.5% of households with strict vaping bans relaxed them in a subsequent wave. Results from a logistic regression model showed that the odds of relaxing strict bans were higher if, at baseline, parents vaped (OR = 2.20; 95% CI: 1.22-3.97; p < .01), parents smoked tobacco (OR = 2.55; CI: 2.00-3.26; p < .001), youth smoked tobacco (OR = 2.27; CI: 1.29-4.00; p < .01), parents reported no smoking ban (OR = 2.68; CI: 1.88-3.81; p < .001), youth did not know that their household had a vaping ban (OR = 1.95; CI: 1.50-2.54; p < .001), and parents perceived low harm from vaping (OR = 1.60; CI: 1.16-2.19; p < .01). Although most sociodemographic controls were not independently associated, parents were less likely to relax bans if they had a college degree (OR = 0.71; CI: 0.51-0.998; p < .05), graduate degree (OR = 0.50; CI: 0.43-0.72; p < .001), or children who were non-Hispanic Black (OR = 0.69; CI: 0.49-0.96; p < .05) or Hispanic (OR = 0.62; CI: 0.47-0.81; p < .001).

DISCUSSION

While most households with adolescents prohibited e-cigarette use indoors, nearly one in seven relaxed prior strict vaping bans. Parents need support to maintain clear, consistent, and continuous restrictions that communicate that vaping is not safe or permissible for youth.

Early life stress, prenatal secondhand smoke exposure, and the development of internalizing symptoms across childhood

BACKGROUND

Prior findings relating secondhand tobacco smoke (SHS) exposure and internalizing problems, characterized by heightened anxiety and depression symptoms, have been equivocal; effects of SHS on neurodevelopment may depend on the presence of other neurotoxicants. Early life stress (ELS) is a known risk factor for internalizing symptoms and is also often concurrent with SHS exposure. To date the interactive effects of ELS and SHS on children's internalizing symptoms are unknown. We hypothesize that children with higher exposure to both prenatal SHS and ELS will have the most internalizing symptoms during the preschool period and the slowest reductions in symptoms over time.

METHODS

The present study leveraged a prospective, longitudinal birth cohort of 564 Black and Latinx mothers and their children, recruited between 1998 and 2006. Cotinine extracted from cord and maternal blood at birth served as a biomarker of prenatal SHS exposure. Parent-reported Child Behavior Checklist (CBCL) scores were examined at four timepoints between preschool and eleven years-old. ELS exposure was measured as a composite of six domains of maternal stress reported at child age five. Latent growth models examined associations between SHS, ELS, and their interaction term with trajectories of children's internalizing symptoms. In follow-up analyses, weighted quintile sum regression examined contributions of components of the ELS mixture to children's internalizing symptoms at each time point.

RESULTS

ELS interacted with SHS exposure such that higher levels of ELS and SHS exposure were associated with more internalizing symptoms during the preschool period (β = 0.14, p = 0.03). The interaction between ELS and SHS was also associated with a less negative rate of change in internalizing symptoms over time (β=-0.02, p = 0.01). Weighted quintile sum regression revealed significant contributions of maternal demoralization and other components of the stress mixture to children's internalizing problems at each age point (e.g., age 11 WQS β = 0.26, p < 0.01).

CONCLUSIONS

Our results suggest that prior inconsistencies in studies of SHS on behavior may derive from unmeasured factors that also influence behavior and co-occur with exposure, specifically maternal stress during children's early life. Findings point to modifiable targets for personalized prevention.

Tobacco Smoke Exposure, School Engagement, School Success, and Afterschool Activity Participation Among US Children

BACKGROUND

Tobacco smoke exposure (TSE), defined as secondhand smoke (SHS) and thirdhand smoke (THS), is associated with negative health consequences. This study's objective was to assess the associations between home TSE status and school engagement, school success, and afterschool activity participation among school-aged children.

METHODS

We conducted a secondary analysis of 2018-2019 National Survey of Children's Health cross-sectional data. Children ages 6-11 years (N = 17,466) were categorized into home TSE groups: no home TSE; THS exposure only; and SHS and THS exposure. Weighted logistic and Poisson regression models were built.

RESULTS

Compared to children with no home TSE, children with home THS exposure only and SHS and THS exposure were at decreased odds of being engaged in school (AOR = 0.69, 95%CI = 0.57, 0.83; AOR = 0.63, 95%CI = 0.41, 0.97, respectively), and at increased odds of having ≥1 school-to-home contact about child problems in school (AOR = 1.83, 95%CI = 1.50, 2.23; AOR = 1.58, 95%CI = 1.05, 2.37, respectively). Children with THS exposure only were at increased odds of missing ≥1 school day (AOR = 1.43, 95%CI = 1.13, 1.81). Children with THS exposure only (ARR = 0.90, 95%CI = 0.83, 0.96) and SHS and THS exposure (ARR = 0.74, 95%CI = 0.61, 0.89) were at reduced likelihood of participating in a higher number of afterschool activities.

CONCLUSIONS

Children exposed to home tobacco smoke are at unique risk for poorer school engagement and success.

"I think everybody will have to get together for it to work": NYCHA Tenant Perspectives on HUD's 2018 Smoke-Free Mandate Captured Prior to Policy Implementation

INTRODUCTION

In July 2018, a new federal mandate by the Department of Housing and Urban Development went into effect requiring all US public housing authorities to implement policies banning smoking in living units, indoor common areas, administrative buildings, and outdoor areas within 25 feet of these buildings. Although some housing authorities had smoke-free policies in place for decades, others had to implement them for the first time. Housing authorities continue to face challenges in ensuring compliance with these policies, and resident perspectives can greatly inform measures to promote adherence.

AIMS AND METHODS

We conducted in-person interviews with 20 New York City Housing Authority tenants in April 2018. Our thematic analysis examined resident opinions on the upcoming smoke-free housing policy.

RESULTS

Although 65% of residents supported the policy, 50% anticipated poor adherence due to expected lack of enforcement, safety issues with smoking outdoors, and general discontent with the housing authority and living conditions. However, many participants felt adherence could be improved if the housing authority optimized resource-provision and communication with tenants.

CONCLUSIONS

Our study adds to existing literature examining tenant views on the controversial topic of mandatory smoke-free housing policies, and our interviews were conducted at a unique time prior to policy implementation in the country's largest public housing authority. Based on our results, we provide recommendations for housing authorities including: (1) information and resource-provision, (2) safety enhancement, and (3) relationship building with tenants in order to maximize policy adherence.

IMPLICATIONS

Our study is unique because we captured resident views prior to policy implementation in a housing authority without a preexisting smoke-free policy in place. In comparison, most recent research on this topic has focused on the postimplementation period or used survey research methods in the preimplementation phase. Our findings add to extant research about tenant perspectives on smoke-free housing policies and offer suggestions to address barriers to compliance.

The Role of Ethnicity and Nativity in the Correspondence between Subjective and Objective Measures of In-Home Smoking

Studies are needed to understand the association between self-reported home smoking bans and objective measures of in-home smoking according to smokers' ethnicity/nativity. Data came from a trial that used air particle monitors to reduce children's secondhand smoke exposure in smokers' households (N = 251). Linear regressions modeled (a) full home smoking bans by ethnicity/nativity, and (b) objectively measured in-home smoking events, predicted by main and interaction effects of self-reported home smoking bans and ethnicity/nativity. Among smokers reporting < a full ban, US-born and Foreign-born Latinos had fewer in-home smoking events than US-born Whites (p < 0.001). Participants who reported a full smoking ban had a similar frequency of smoking events regardless of ethnicity/nativity. Results indicate that self-reported home smoking bans can be used as a proxy for in-home smoking. Establishing smoking bans in the households of US-born White smokers has the largest impact on potential exposure compared to other ethnicity/nativity groups.

Home Smoke-Free Policies as Children Age: Urban, Rural, and Suburban Differences

INTRODUCTION

Parents/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 METHODS

We 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.

RESULTS

Approximately 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.

CONCLUSION

Odds 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.

IMPLICATIONS

Health 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.

Global Trends in Death, Years of Life Lost, and Years Lived With Disability Caused by Breast Cancer Attributable to Secondhand Smoke From 1990 to 2019

Background

Secondhand smoke is an important risk factor to breast cancer patients’ survival. This article aimed to describe the epidemiological changes of health loss caused by female breast cancer attributable to secondhand smoke from 1990 to 2019.

Methods

Data on breast cancer was derived from the Global Burden of Disease study 2019. The epidemiological status and trends were estimated using the number, age-standardized rate (ASR), and estimated annual percentage change (EAPC).

Results

In 2019, secondhand smoke-related breast cancer caused 168.33×10² death, 5242.58×10² years of life lost (YLLs), and 334.03×10² years lived with disability (YLDs) globally. The overall ASR of death and YLLs caused by breast cancer attributable to secondhand smoke presented decreasing trends from 1990 to 2019, with the respective EAPCs of −0.78 and −0.87. Meanwhile, decreasing trends occurred in most geographic regions, particularly that of YLLs in high-income North America (EAPC = −3.35). At the national level, most countries/territories had decreasing trends of death and YLLs, particularly Denmark, in which the respective EAPCs were −4.26 and −4.64. However, the ASR of YLDs showed an increasing trend globally (EAPC = 0.32). Meanwhile, increasing trends were observed in most regions and countries, particularly the Solomon Islands and Lesotho, with the respective EAPCs being 6.18 and 4.33. The changing trends were closely associated with sociodemographic development.

Conclusions

Trends in secondhand smoke-related death and YLLs caused by breast cancer declined from 1990 to 2019. However, secondhand smoke remains a challenge to the patients’ longevity and quality of life. The findings informed strategies should be strengthened the control of secondhand smoking.

Smoke-Free Home Rules and Association with Child Secondhand Smoke Exposure among Mother-Child Dyad Relationships

Smoke-free home rules restrict smoking in the home, but biomarkers of secondhand smoke exposure are needed to help understand the association between smoke-free homes and child secondhand smoke exposure. Participants (n = 346) were majority Black/African American mother-child dyads from a longitudinal study in North Carolina. Mothers completed questionnaires on household smoking behaviors and rules, and child saliva samples were assayed for secondhand smoke exposure. Regression models used smoke-free home rules to predict child risk for secondhand smoke exposure. Children in households with smoke-free home rules had less salivary cotinine and risk for secondhand smoke exposure. After controlling for smokers in the household, home smoking rules were not a significant predictor of secondhand smoke exposure. Compared to children in households with no smokers, children in households with at least one smoker but a non-smoking mother (OR 5.35, 95% CI: 2.22, 13.17) and households with at least one smoker including a smoking mother (OR 13.73, 95% CI: 6.06, 33.28) had greater risk for secondhand smoke exposure. Results suggest smoke-free home rules are not sufficient to fully protect children from secondhand smoke exposure, especially in homes with smokers. Future research should focus on how household members who smoke can facilitate the prevention of child secondhand smoke exposure.

Secondhand Smoke Exposure and Subsequent Academic Performance Among U.S. Youth

INTRODUCTION

Previous research shows the associations between secondhand smoke exposure and health consequences among youth, but less is known about its effect on academic performance. This study examines a dose-response relationship between secondhand smoke exposure and subsequent academic performance among U.S. youth.

METHODS

Data were from a nationally representative sample of youth non-tobacco users (aged 12-16 years) in Wave 2 (2014-2015) who completed Wave 3 (2015-2016) of the Population Assessment of Tobacco and Health Study (n=9,020). Past-7-day number of hours exposed to secondhand smoke at Wave 2 and academic performance at Wave 3 (1=Mostly As to 9=Mostly Fs) were assessed. Weighted multivariable linear regression models were used to examine the association between hours of self-reported secondhand smoke exposure at Wave 2 and academic performance at Wave 3 (1=Mostly Fs, 9=Mostly As), adjusting for covariates including sociodemographics, prior academic performance, internalizing and externalizing problems, and substance use problems. Analyses were conducted in 2019.

RESULTS

More than 30% of U.S. youth non-tobacco users were exposed to secondhand smoke in the past 7 days. Compared with unexposed youth at Wave 2, those who were exposed for 1-9 hours had poorer academic performance at Wave 3 (adjusted regression coefficient= -0.11, 95% CI= -0.18, -0.04), and those who were exposed for ≥10 hours at Wave 2 had even poorer academic performance (adjusted regression coefficient = -0.31, 95% CI= -0.45, -0.18).

CONCLUSIONS

A dose-response relationship was observed between secondhand smoke exposure and academic performance among U.S. youth. Reducing youth secondhand smoke exposure may promote academic performance and subsequent educational attainment.

Single-parent status and smoke-free home rules among daily smokers

OBJECTIVE

In Canada, the home has become the primary locale in which children are exposed to tobacco smoke. Single parents are less likely than two-parent families to ban smoking at home, but the extent to which this relates to economic inequalities across family structures is unclear. Our objective was to estimate the association between household structure (single- vs. non-single-parent family) and smoke-free home rules, accounting for indicators of economic disadvantage.

METHODS

Data were available in a telephone survey conducted in 2011-2012 in Québec, Canada, of 567 daily smokers (mean (SD) age 38.3 (8.1); 56.6% female) who lived with children. Poisson regression models with robust variance were used to determine whether single-parent status was independently associated with living in a smoke-free home after accounting for age, sex, language, household size, age of youngest child, neighbourhood material deprivation, socio-economic status and employment status.

RESULTS

Of 122 participants living in a single-parent family, 33 (27%) reported that their home was smoke-free, compared with 250 of 445 participants (56.2%) living in non-single-parent families. Single parents were approximately 40% less likely to live in smoke-free homes than other daily smokers, even after accounting for indicators of economic disadvantage.

CONCLUSIONS

Single parents, regardless of income or level of neighbourhood material deprivation, were less likely to report smoke-free home rules. These smokers represent a distinct subgroup that warrants targeted interventions to help them implement such rules by addressing their specific needs against a backdrop of creating more equitable access to the social determinants of health.

Smoking policies in the home have less influence on cigarettes per day and nicotine dependence level among African American than White smokers: A cross-sectional analysis

BACKGROUND

African American smokers suffer disproportionately from tobacco-related disease caused, in part, by lower rates of smoking cessation. We examined whether smoke-free home policies and delay discounting were differentially associated with cigarettes smoked per day (CPD) and nicotine dependence (ND) among African Americans and Whites.

METHODS

Secondary data analysis was conducted using data from 65 African American (n = 40) and White (n = 25) smokers who completed measures of CPD, ND, tobacco craving, stress, depression, home smoking policy, and delay discounting.

RESULTS

A significant interaction was found between race and home smoking policy on CPD (B = -11.21, p = 0.002) and ND (B = -3.42, p = 0.004). Smoke-free policies in the home were associated with fewer CPD and lower ND levels among Whites, but not among African Americans. Whites who allowed smoking in their homes had significantly greater mean CPD and higher mean ND than their counterparts who did not allow smoking in the home. Among African American smokers, there were no differences in CPD and ND among those who allowed smoking in their home versus those who did not.

CONCLUSIONS

The findings extend the scientific literature by suggesting that a malleable environmental factor (home smoking policy) commonly associated with cessation among Whites does not have the same influence on cessation among African American.

Uneven Access to Smoke-Free Laws and Policies and Its Effect on Health Equity in the United States: 2000-2019

Tobacco control measures have played an important role in the reduction of the cigarette smoking prevalence among US adults.However, although overall smoking prevalence has declined, it remains high among many subpopulations that are disproportionately burdened by tobacco use, resulting in tobacco-related health disparities. Slow diffusion of smoke-free laws to rural regions, particularly in the South and Southeast, and uneven adoption of voluntary policies in single-family homes and multiunit housing are key policy variables associated with the disproportionate burden of tobacco-related health disparities in these subpopulations.Developing policies that expand the reach of comprehensive smoke-free laws not only will facilitate the decline in smoking prevalence among subpopulations disproportionately burdened by tobacco use but will also decrease exposure to secondhand smoke and further reduce tobacco-caused health disparities in the United States.

Smoking Policy Change Within Permanent Supportive Housing

Smoke-free policies effectively reduce secondhand smoke (SHS) exposure among non-smokers, and reduce consumption, encourage quit attempts, and minimize relapse to smoking among smokers. Such policies are uncommon in permanent supportive housing (PSH) for formerly homeless individuals. In this study, we collaborated with a PSH provider in San Diego, California to assess a smoke-free policy that restricted indoor smoking. Between August and November 2015, residents completed a pre-policy questionnaire on attitudes toward smoke-free policies and exposure to secondhand smoke, and then 7-9 months after policy implementation residents were re-surveyed. At follow-up, there was a 59.7% reduction in indoor smoking. The proportion of residents who identified as current smokers reduced by 13% (95% CI: -38, 10.2). The proportion of residents who reported never smelling SHS indoors (apartment 24.2%, 95% CI: 4.2, 44.1; shared areas 17.2%, 95% CI: 1.7, 32.7); in outdoor areas next to the living unit (porches or patio 56.7%, 95% CI: 40.7, 72.8); and in other outdoor areas (parking lot 28.6%, 95% CI: 8.3, 48.9) was lower post-policy compared with pre-policy. Overall, resident support increased by 18.7%; however, the greatest increase in support occurred among current smokers (from 14.8 to 37.5%). Fewer current smokers reported that the policy would enable cessation at post-policy compared to pre-policy. Our findings demonstrate the feasibility of implementing smoke-free policies in PSH for formerly homeless adults. However, policy alone appears insufficient to trigger change in smoking behavior, highlighting the need for additional cessation resources to facilitate quitting.

In-Home Secondhand Smoke Exposure Among Urban Children With Asthma: Contrasting Households With and Without Residential Smokers

CONTEXT

Secondhand smoke exposure (SHSe) affects up to half of all children in the United States. Many studies have identified factors associated with in-home SHSe, but few have contrasted these factors between households with and without residential smokers. In the latter case, exposure occurs from only external sources that enter the home, such as visitors or environmental incursion.

OBJECTIVE

Among children with SHSe at home, to examine demographic and psychosocial differences between households with and without residential smokers.

DESIGN

Baseline analysis of an observational cohort.

SETTING

Baltimore City, Maryland.

PARTICIPANTS

A total of 157 children with asthma, aged 5 to 12 years.

MEASURES

At-home airborne nicotine, caregiver-reported depression, asthma-related quality of life, functional social support, and demographics. Univariable comparisons were performed between SHS-exposed households with and without residential smokers. Multivariable logistic regression models were fit to examine associations between measured factors and absence of residential smokers.

RESULTS

Children (78.3%) had at-home SHSe. Of these, 40.7% lived in households without residential smokers. Compared with households with residential smokers, these caregivers endorsed stronger beliefs in SHS harms and also worse functional social support and asthma-related stress, despite no differences in asthma morbidity. In adjusted models, SHS-exposed children with caregivers in the lowest tertile of functional social support (adjusted odds ratio, 3.50; 95% confidence interval, 1.12-10.99), asthma-related quality of life (2.90; 1.06-7.95), and those living alone (5.28; 1.26-22.15) had at least twice higher odds of having exclusively external SHSe than the highest tertile (P trends < .05).

CONCLUSIONS

In-home SHS exposure remains alarmingly high in urban environments. However, a substantial proportion of this exposure appears to be occurring only from external sources that enter the home. Caregivers in these homes had higher desire but lower agency to avoid SHSe, driven by lack of functional support and physical isolation. Public policies targeting these factors may help remediate exposure in this especially vulnerable population.

Variations in support for secondhand smoke restrictions across diverse rural regions of the United States

Significant disparities exist between rural-urban U.S.

POPULATIONS

Besides higher smoking rates, rural Americans are less likely to be protected from SHS. Few studies focus across all regions, obscuring regional-level differences. This study compares support for SHS restrictions across all HHS regions.

DATA

2014/15 TUS-CPS; respondents (n = 228,967): 47,805 were rural residents and 181,162 urban. We examined bi-variates across regions and urban-rural adjusted odds ratios within each. Smoking inside the home was assessed along with attitudes toward smoking in bars, casinos, playgrounds, cars, and cars with kids. Urban respondents were significantly more supportive of all SHS policies: (e.g. smoking in bars [57.9% vs. 51.4%]; support for kids in cars [94.8% vs. 92.5%]. Greatest difference between urban-rural residents was in Mid-Atlantic (bar restrictions) and Southeast (home bans): almost 10% less supportive. Logistic regression confirmed rural residents least likely, overall, to support SHS in homes (OR = 0.78, 95% CI 0.74, 0.81); in cars (OR = 0.87, 95% CI 0.79, 0.95), on playgrounds (OR = 0.88, 95% CI.83, 0.94) and in bars OR = 0.88, 95% CI 0.85, 0.92), when controlling for demographics and smoking status. South Central rural residents were significantly less likely to support SHS policies-home bans, smoking in cars with kids, on playgrounds, in bars and casinos; while Heartland rural residents were significantly more supportive of policies restricting smoking in cars, cars with kids and on playgrounds. Southeast and South Central had lowest policy score with no comprehensive state-level SHS policies. Understanding differences is important to target interventions to reduce exposure to SHS and related health disparities.

Income disparities in smoking cessation and the diffusion of smoke-free homes among U.S. smokers: Results from two longitudinal surveys

Background

Lower rates of successful quitting among low-income populations in the United States may be from slower dissemination of smoke-free homes, a predictor of cessation.

Objectives

To explore the role of smoke-free homes in cessation behavior across income levels.

Participants

Current smokers who were ≥18 years and who participated in the longitudinal 2002–2003 (n = 2801) or 2010–2011 (n = 2723) Tobacco Use Supplements to the Current Population Survey.

Measurements

We categorized income as multiples of the federal poverty level (FPL) (<300% FPL versus ≥300% FPL). We examined the association of smoke-free homes with 1+day quit attempts and 30+days abstinence at 1-year follow-up. We then conducted a mediation analysis to examine the extent that smoke-free homes contributed to income disparities in 30+days abstinence.

Results

Between the two surveys, heavy smoking (≥ 1 pack/day) declined by 17%, and smoking prevalence declined by 15% among those with higher-incomes (>300%FPL). Although similar in 2002, the prevalence of smoke-free homes was 33% lower among individuals living <300% FPL than those living ≥300% FPL. Although the quit attempt rate was similar, the 30+days abstinence rate was higher in the 2010–11 cohort than in 2002–3 cohort (20.6% versus 15.5%, p<0.008). Whereas smoking ≥ 1 pack/ day was associated with lower odds of 30+days abstinence (Adjusted odds ratio [AOR] 0.7; 95% CI 0.5–0.9), having a higher income (AOR 1.9, 95% CI 1.4–2.6) and a smoke-free home (AOR 1.6, 95% CI 1.2–2.1) were associated with greater odds of 30+day abstinence. Differential changes in smoke-free homes across income groups between the two surveys contributed to 36% (95% CI 35.7–36.3) of the observed income disparity in 30+days abstinence.

Conclusions

Increasing the diffusion of smoke-free homes among low-income populations may attenuate at least a third of the income disparities in smoking cessation, highlighting the need for interventions to increase adoption of smoke-free homes among low-income households.

Survey Mode and Rates of Smoke-free Homes and Support for Smoking Bans Among Single Parents in the United States in 2010-2011 and 2014-2015

National surveys are commonly used to monitor the rates of smoke-free homes and public attitudes toward smoking bans. The study explored the difference in the estimates corresponding to two survey modes-personal interviews and phone interviews-among single-parent households. Data from the Tobacco Use Supplement to the Current Population Survey administered in 2010-11 and 2014-15 were used in a stratified fashion. The rate of smoke-free homes was lower for personal interviews (79% in 2010-11 and 82% in 2014-15) than for phone interviews (85% in 2010-11 and 90% in 2014-15). Even after controlling for several factors, personal interviews corresponded to lower odds of having a smoke-free home relative to phone interviews (OR=0.7, CI=0.6:0.9 in 2010-11; OR=0.5, CI = 0.4:0.6 in 2014-15). The survey mode should be included in the analyses when estimating the rates of smoke-free homes and other smoking-related attitudes, because different survey modes could be associated with different response bias.

Minimal intervention delivered by 2-1-1 information and referral specialists promotes smoke-free homes among 2-1-1 callers: a Texas generalisation trial

Background

Replication of intervention research is reported infrequently, limiting what we know about external validity and generalisability. The Smoke Free Homes Program, a minimal intervention, increased home smoking bans by United Way 2-1-1 callers in randomised controlled trials in Atlanta, Georgia and North Carolina.

Objective

Test the programme's generalisability-external validity in a different context.

Methods

A randomised controlled trial (n=508) of English-speaking callers from smoking-discordant households (≥1 smoker and ≥1 non-smoker). 2-1-1 Texas/United Way HELPLINE call specialists serving the Texas Gulf Coast recruited callers and delivered three mailings and one coaching call, supported by an online tracking system. Data collectors, blind to study assignment, conducted telephone interviews 3 and 6 months postbaseline.

Results

At 3 months, more intervention households reported a smoke-free home (46.6% vs 25.4%, p<0.0001; growth model intent-to-treat OR=1.48, 95% CI 1.241 to 1.772, p<0.0001). At 6 months, self-reported full bans were 62.9% for intervention participants and 38.4% for controls (OR=2.19). Texas trial participants were predominantly women (83%), single-smoker households (76%) and African-American (65%); half had incomes ≤US$10 000/year (50%). Texas recruitment was <50% of the other sites. Fewer callers reported having a smoker in the household. Almost twice the callers with a household smoker declined interest in the programme/study.

Conclusions

Our findings in a region with lower smoking rates and more diverse callers, including English-speaking Latinos, support programme generalisability and convey evidence of external validity. Our recruitment experience indicates that site-specific adjustments might improve recruitment efficiency and reach.

Trial registration number

NCT02097914, Results.

Outcomes for a Public Hospital Tobacco Cessation Program: The Cook County Health and Hospitals System Experience

The objective of this study is to determine the rate and predictors of sustained smoking cessation for a cohort of smokers exposed to a guideline-based health education program delivered during routine clinical care at an urban public hospital. This is a retrospective analysis of 755 public hospital system patients who had at least two health educator contacts embedded in routine clinical care, with the latter contact 12-18 months after the baseline. The education occurred during visits to primary care, specialty clinics, urgent/episodic care, or during hospitalization. The assessment of smoking status is determined by the health educators as part of their routine assessment and recorded in the program's database. The primary outcomes are self-reported 12-month sustained smoking cessation at the 12-18 month contact and predictors of cessation. The cohort is predominantly minority smokers (African American 69 % and Latino 15 %) and uninsured (70 %) or on Medicaid (13 %). The sustained cessation rate was 9.3 %. Latino ethnicity, smoking 1-9 cigarettes/day at baseline, reporting smoke-free home, and additional educator contact in the year after the baseline were independent predictors of sustained cessation in the multivariate analysis. Smokers with multiple risks for poor cessation outcomes exposed to a guideline-based program of health education during routine healthcare encounters had sustained smoking cessation rates that compare favorably with published National Health Interview Study population cessation rates. An additional educator contact after the baseline was a predictor of cessation. The findings support development of cessation programs in which health educators are integrated into clinical care settings.

Association of Smoking in the Home With Lung Cancer Worry, Perceived Risk, and Synergistic Risk

PURPOSE/OBJECTIVES

To examine the association of smoking in the home with lung cancer worry, perceived risk, and synergistic risk, controlling for sociodemographics, family history of lung cancer, and health-related self-concept. The hypothesis is that participants with smoking in the home would have higher scores for lung cancer worry, perceived risk, and synergistic risk.
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DESIGN

Cross-sectional baseline survey. 
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SETTING

Participants recruited from an outpatient clinic and pharmacy at University of Kentucky HealthCare, an academic medical center.
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SAMPLE

515 homeowners from a larger randomized, controlled trial aimed at reducing exposure to radon and secondhand smoke (SHS).
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METHODS

Homeowners were selected via quota sampling so that about half would have a smoker or smokers in the home.
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MAIN RESEARCH VARIABLES

Lung cancer worry and perceived risk; perception of synergistic risk of radon and SHS exposure; demographics.
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FINDINGS

Participants with smoking in the home had higher rates of lung cancer worry and perceived risk. In addition, those with less education and a family history of lung cancer and who were current smokers had higher lung cancer worry and perceived lung cancer risk scores. Predictors of perception of synergistic risk were marital status and health-related self-concept.
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CONCLUSIONS

Homeowners with smoking in the home, less education, and a family history of lung cancer had greater lung cancer worry and perceived lung cancer risk. Lung cancer risk reduction interventions with vulnerable populations are needed. 
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IMPLICATIONS FOR NURSING

Nurses are in a unique position to target high-risk populations and identify opportunities to create teachable moments to reduce environmental risks of radon and tobacco smoke exposure.

Perceptions of Secondhand and Thirdhand Smoke Among Hispanic Residents of Multiunit Housing

Despite the progressive adoption of smoking bans in public spaces, children living in multi-unit housing remain at risk of exposure to secondhand smoke (SHS) and thirdhand smoke (THS). Hispanic populations in California are particularly vulnerable to the harmful effects of SHS and THS because a large proportion of Hispanics live in multi-unit housing. Three focus groups were conducted in the fall of 2012 (in Spanish and English, N = 24) to understand Hispanics' knowledge of and experiences with SHS and THS, including barriers to avoiding smoke exposure and strategies for protecting their homes from smoke. Hispanic residents reported unpleasant experiences with SHS and THS and were generally knowledgeable about the adverse health effects, although they were not familiar with the term "thirdhand smoke." Some participants also mentioned marijuana smoke as a potential health hazard. Hispanic cultural values made participants reluctant to confront their neighbors but also motivated them to find ways to protect their families from smoke. Potential solutions included working with the smokers to designate a smoking area and gaining support from the building owners. Broad smoking policies should be implemented to help Hispanic residents overcome cultural and social barriers to smoke free air.

Smoke-free homes among single-parent families: Differences associated with parental race/ethnicity and smoking behaviors

We assessed differences in the rates of smoke-free homes among single-parent households with regard to parental race/ethnicity and smoking status. We identified two cohorts representative of the U.S. single-parent households with underage children (children under the age of 18) based on the Tobacco Use Supplement to the Current Population Survey: 2010-11 (n = 6474) and 2014-15 (n = 6114). The interviews were conducted by phone and in-person. Statistical analysis was performed in 2017. The overall rate of smoke-free homes was 82% in 2010-11 and 86% in 2014-15. The rate of a smoke-free home was highest for Non-Hispanic (NH) Asian (94%) and Hispanic (92%) parents and lowest for NH Multiracial (77% in 2010-11 and 82% in 2014-15) in both survey periods. However, 2014-15 model-based comparisons relative to NH Whites indicated only one significant difference: the rate was lower for NH Blacks (OR = 0.46, 99% CI = 0.32:0.66). The smoke-free homes were least prevalent among daily smokers, followed by occasional smokers, followed by former smokers, and most prevalent among never smokers in each survey period. The 2010-11 and 2014-15 rates were 45% and 54% for daily, 64% and 72% for occasional, 89% and 91% for former, and 93% and 94% for never smokers. The gap in the rates of smoke-free homes for diverse parental racial/ethnic groups observed in 2010-11 decreased by 2014-15. While smoke-free homes became more prevalent in 2014-15, the rates remain drastically different among families with different parental smoking behaviors. Exposure to secondhand smoke at home remains common among single-parent households where the parent smokes.

Environmental Tobacco Smoke Exposure and Smoke-Free Rules in Homes among Socially-Disadvantaged Populations in Poland

This study aims to examine the prevalence of exposure to environmental tobacco smoke (ETS) in homes among socially-disadvantaged populations in Poland, along with the prevalence and correlates of voluntary implementation of smoke-free home rules. Data concerning 1617 respondents from a cross-sectional study completed in the Piotrkowski District were used, which was part of the "Reducing Social Inequalities in Health" program. Overall, 19.4% of the respondents declared exposure to ETS at home. In the non-smokers group, 15.5%, including 6.6% males and 18.3% females, were exposed to ETS in their place of residence (p < 0.0001). Complete smoke-free rules were adopted by 22.1% of the study participants. Two factors, smoker status and lack of ETS-associated health risk awareness, were found to be significantly associated with no adoption of total smoking bans at home. Socially-disadvantaged non-smokers, especially females from rural areas in Poland, still constitute a large population exposed to ETS in their homes-a challenge from the perspective of public health. Focused efforts are required to address social norms around exposing others to ETS.

Household Smoking Restrictions Relate To Time To First Cigarette Smoked In The Morning

Introduction

The time a smoker waits until the first cigarette of the morning is often used as a measure of dependence with the rationale that more dependent smokers will smoke sooner upon waking than will less dependent smokers after going several hours without a cigarette overnight.

Aims

We sought to examine the relationship between time-to-first-cigarette (TTFC) and household smoking restrictions in two independent samples.

Methods

Two samples of smokers, one treatment-seeking community sample (N = 433) and one non-treatment-seeking sample of smokers with serious mental illness (i.e., Schizophrenia, Schizoaffective Disorder, or Bipolar I Disorder) (N = 94), provided information on cigarette dependence with the Fagerström Test for Nicotine Dependence and on household smoking restrictions.

Results

Half (50%) of smokers with serious mental illness and 36.7% of smokers from the general population reported that there were no limitations to smoking in their home. Household smoking restrictions were significantly and positively related to TTFC in both samples.

Conclusions

These data indicate that greater attention to TTFC may be warranted. The TTFC item is intended to measure dependence based on the premise that greater dependence should be associated with shorter TTFC. If TTFC is related to a household smoking ban, however, this item may not be assessing dependence as intended in some cases.

A Minimal Intervention to Promote Smoke-Free Homes among 2-1-1 Callers: North Carolina Randomized Effectiveness Trial

This study examined the extent to which delivery of the minimal Smoke-Free Homes intervention by trained 2-1-1 information and referral specialists had an effect on the adoption of home smoking bans in low-income households. A randomized controlled trial was conducted among 2-1-1 callers (n = 500) assigned to control or intervention conditions. 2-1-1 information and referral specialists collected baseline data and delivered the intervention consisting of 3 mailings and 1 coaching call; university-based data collectors conducted follow-up interviews at 3 and 6 months post-baseline. Data were collected from June 2013 through July 2014. Participants were mostly female (87.2%), African American (61.4%), and smokers (76.6%). Participants assigned to the intervention condition were more likely than controls to report a full ban on smoking in the home at both 3- (38.1% vs 19.3%, p = < .001) and 6-month follow-up (43.2% vs 33.2%, p = .02). The longitudinal intent-to-treat analysis showed a significant intervention effect over time (OR = 1.31, p = .001), i.e. OR = 1.72 at 6 months. This study replicates prior findings showing the effectiveness of the minimal intervention to promote smoke-free homes in low-income households, and extends those findings by demonstrating they can be achieved when 2-1-1 information and referral specialists deliver the intervention. Findings offer support for this intervention as a generalizable and scalable model for reducing secondhand smoke exposure in homes.

Tobacco-Related Health Disparities Across the Cancer Care Continuum

BACKGROUND

Use of tobacco is the leading preventable cause of death in the United States. Racial/ethnic minorities and individuals of low socioeconomic status disproportionately experience tobacco-related disease and illness. Unique challenges and circumstances exist at each point in the cancer care continuum that may contribute to the greater cancer burden experienced by these groups.

METHODS

We reviewed tobacco-related disparities from cancer prevention to cancer survivorship. We also describe research that seeks to reduce tobacco-related disparities.

RESULTS

Racial/ethnic minorities and low-income individuals experience unique social and environmental contextual challenges such as greater environmental cues to smoke and greater levels of perceived stress and social discrimination. Clinical practice guidelines support the effectiveness of pharmacotherapy and behavioral counseling for racial and ethnic minorities, yet smoking cessation rates are lower in this group when compared with non-Hispanic whites. Superior efficacy for culturally adapted interventions has not yet been established.

CONCLUSIONS

To reduce health disparities in this population, a comprehensive strategy is needed with efforts directed at each point along the cancer care continuum. Strategies are needed to reduce the impact of contextual factors such as targeted tobacco marketing and social discrimination on smoking initiation and maintenance. Future efforts should focus on increasing the use of evidence-based cessation treatment methods and studying its effectiveness in these populations. Attention must also be focused on improving treatment outcomes by reducing smoking in diverse racial and ethnic patient populations.

Barriers and motivators to reducing secondhand smoke exposure in African American families of head start children: a qualitative study

OBJECTIVE

To identify barriers and motivators for reducing secondhand smoke exposure (SHSe) for families of African-American, low-income, urban children.

METHOD

Audiotaped intervention sessions of 52 African-American caregivers of Head Start children who reported being a smoker and/or had at least one smoker in the home were randomly sampled from a larger trial examining the effectiveness of a motivational-interviewing intervention in reducing child's SHSe. Counseling sessions were qualitatively coded to identify barriers and motivators to implementing a home smoking ban or quitting smoking.

RESULTS

African-American families identified several themes that were either or both barriers and motivators for SHSe reduction, including: asking others not to smoke, other family living in the home, neighborhood safety, absence of childcare, cost/availability of cessation tools, physician support and prevention of health problems.

DISCUSSION

Urban, low-income African-American families face numerous barriers to reducing SHSe. Families were able to identify many motivators for reducing SHSe, suggesting an awareness of the importance for SHSe reduction but uncertainty in their confidence to change behaviors. Counseling should include tailoring to be most effective in supporting health behavior change. Greater emphasis on motivators is needed, such as low-cost/free cessation tools, engagement from physicians and greater involvement of extended family members.

Associations Between Caregiver Health Literacy and Preschool Children's Secondhand Smoke Exposure

OBJECTIVE

Examine the associations between caregiver health literacy (HL) and smoking-related outcome expectancies, implementation of home/car smoking bans (H/CSBs), and child secondhand smoke exposure (SHSe).

METHODS

Caregivers of Head Start children residing with a smoker(s) completed measures assessing HL, outcome expectancies, and H/CSB implementation. Biomarkers of child SHSe included home air nicotine monitors and child salivary cotinine.

RESULTS

Caregivers with lower HL had higher levels of home air nicotine and child salivary cotinine in the full sample and among smokers. After controlling for child age and number of smokers in the home, lower HL was associated with higher endorsement of negative smoking expectancies in the full sample and in smokers. HL was not associated with H/CSB implementation across groups.

CONCLUSIONS

Caregiver HL is associated with child SHSe and is important in shaping smoking-related beliefs. HL is not directly related to adoption of SHSe-reduction behaviors such as H/CSBs.

Sociodemographic Differences Among U.S. Children and Adults Exposed to Secondhand Smoke at Home: National Health Interview Surveys 2000 and 2010

OBJECTIVE

We examined the levels and change in prevalence of self-reported secondhand smoke (SHS) exposure at home, and analyzed sociodemographic differences in exposure among children (aged 0-17 years) and nonsmoking adults (aged ≥18 years) in the United States in 2000 and 2010.

METHODS

We included 18,731 children and 44,049 adults from the 2000 and 2010 National Health Interview Survey Cancer Control Supplements. We used multivariate logistic regression to determine the factors associated with exposure.

RESULTS

The prevalence of self-reported SHS exposure declined from 2,627 of 10,636 (24.7%) to 663 of 8,095 (8.2%) for children and from 2,863 of 23,665 (12.1%) to 897 of 20,384 (4.4%) for adults from 2000 to 2010. SHS exposure declined for all population subgroups between the two years, but differences were found. Compared with 2000, children aged 12-17 years in 2010 were no longer more likely than children aged 0-5 years to be exposed to SHS. Non-Hispanic black children and adults were more likely than non-Hispanic white children and adults to be exposed to SHS in 2010. In 2010, no differences were found for children whose parents had a higher level of education, and no differences were observed for children or adults with high family income vs. other levels of family income. Children living in the Midwest and South had higher levels of SHS exposure than children in other regions in 2010.

CONCLUSIONS

Self-reported SHS exposure at home declined for all population subgroups from 2000 to 2010, but socioeconomic differences existed for some subgroups in both years. Current tobacco control policies need to be improved to reach all population subgroups so that SHS exposure can be further reduced, especially among vulnerable populations.

Do partial home smoking bans signal progress toward a smoke-free home?

Understanding who establishes partial home smoking bans, what these bans cover, and whether they are an intermediate step in going smoke-free would help to inform smoke-free home interventions. Participants were recruited from United Way of Greater Atlanta's 2-1-1 contact center. Data were collected at baseline, 3 and 6 months via telephone interview. Participants (n = 375) were mostly African American (84.2%) and female (84.3%). The majority (58.5%) had annual household incomes <$10,000. At baseline, 61.3% reported a partial smoking ban and 38.7% reported no ban. Existence of a partial ban as compared with no ban was associated with being female, having more than a high school education, being married and younger age. Partial bans most often meant smoking was allowed only in designated rooms (52.6%). Other common rules included: no smoking in the presence of children (18.4%) and smoking allowed only in combination with actions such as opening a window or running a fan (9.8%). A higher percentage of households with partial bans at baseline were smoke-free at 6 months (36.5%) compared with households with no bans at baseline (22.1%). Households with partial smoking bans may have a higher level of readiness to go smoke-free than households with no restrictions.

Suffering in Silence: Impact of Tobacco Use on Communication Dynamics Within Vietnamese and Chinese Immigrant Families

The goal of this project was to explore family communication dynamics and their implications for smoking cessation. We conducted 39 in-depth dyadic and individual qualitative interviews with 13 immigrant smoker-family member pairs of Vietnamese ( n = 9 dyads, 18 individuals) and Chinese ( n = 4 dyads, 8 individuals) descent, including seven current and six former smokers and 13 family members. All 13 dyadic and 26 individual interviews were analyzed using a collaborative crystallization process as well as grounded theory methods. We identified three interrelated pathways by which tobacco use in immigrant Vietnamese and Chinese families impacts family processes and communication dynamics. Using a two-dimensional model, we illustrate how the shared consequences of these pathways can contribute to a dynamic of avoidance and noncommunication, resulting in individual family members "suffering in silence" and ultimately smoking being reinforced. We discuss the implications of these findings for development of smoking cessation interventions.

National and state prevalence of smoke-free rules in homes with and without children and smokers: Two decades of progress

OBJECTIVE

The home is the primary source of secondhand smoke (SHS) exposure for children. We assessed national and state progress in smoke-free home (SFH) rule adoption in homes with and without children and adult smokers.

METHODS

Data came from the 1992-1993 and 2010-2011 Tobacco Use Supplements to the Current Population Survey, a U.S. national probability household survey. Households were defined as having a SFH rule if all household respondents aged ≥18 indicated no one was allowed to smoke inside the home at any time. Households with children were those with occupants aged <18. Smokers were those who smoked ≥100 lifetime cigarettes and now smoked "everyday" or "some days".

RESULTS

From 1992-1993 to 2010-2011, SFH rule prevalence increased from 43.0% to 83.0% (p<.05). Among households with children, SFH rules increased overall (44.9% to 88.6%), in households without smokers (59.7% to 95.0%), and households with ≥1 smokers (9.7% to 61.0%) (p<.05). Among households without children, SFH rules increased overall (40.8% to 81.1%), in households without smokers (53.4% to 90.1%), and households with ≥1 smokers (6.3% to 40.9%) (p<.05). Prevalence increased in all states, irrespective of smoker or child occupancy (p<.05). In 2010-2011, among homes with smokers and children, SFH rule prevalence ranged from 36.5% (West Virginia) to 86.8% (California).

CONCLUSIONS

Considerable progress has been made adopting SFH rules, but many U.S. children continue to be exposed to SHS because their homes are not smoke-free. Further efforts to promote adoption of SFH rules are essential to protect all children from this health risk.

Active smoking and exposure to secondhand smoke and their relationship to depressive symptoms in the Korea national health and nutrition examination survey (KNHANES)

BACKGROUND

The relationship between tobacco smoking, including secondhand smoking, and depression has been assessed. The purpose of this study was to evaluate the association between secondhand smoking among current, former and never smokers and depressive symptoms. For secondhand smoking, gender differences and sources of exposure were examined.

METHODS

Data from 34,693 participants from the fourth and fifth Korean Health and Nutritional Examination Survey (2007-2012) were analyzed in 2014. Self-reported exposure to active (current, former or never) and secondhand smoking and depressive symptoms experienced during the past year were analyzed using logistic regression. The dose-response relationship between duration of secondhand smoke exposure and depression was assessed with stratification by gender and sources of exposure (at home only, at the workplace only or both).

RESULTS

Regardless of their smoking status, all women who had secondhand smoke exposure at home reported more depressive symptoms than non-smoking women without any exposure to secondhand cigarette smoking (OR 1.43, 95 % CI 1.04-1.96 for current smokers; OR 2.32, 95 % CI 1.04-5.16 for former smokers; OR 1.25, 95 % CI 1.08-1.43 for never smokers). There was also a significant dose-response pattern (p-trend <0.001) for the duration of secondhand smoke exposure at home among women. No significant association was found between smoking and depressive symptoms in men.

CONCLUSIONS

There was a significant association between secondhand smoke exposure at home and depressive symptoms in women. Secondhand smoke exposure at home was associated with depressive symptoms in a dose-response manner.

Gutka and Tambaku Paan use among South Asian immigrants: a focus group study

Smokeless tobacco use is prevalent among South Asian immigrants, particularly in the forms of gutka and tambaku paan. In this paper, we examined (a) gutka and tambaku paan initiation and use patterns among South Asian immigrants, and (b) perceptions related to quitting and tobacco control. Six focus groups were conducted with 39 South Asian adult gutka/tambaku paan users, in three different South Asian languages (Gujarati, Bengali, and Urdu). Participants reported easy availability of gutka and tambaku paan in neighborhood stores, and noted several factors that promoted initiation (including social networks, perceived benefits, and curiosity). Due to awareness of low social acceptance of gutka and tambaku paan in the US, some participants discussed changing patterns of use following immigration. Finally, participants proposed roles of various agencies (e.g., doctors'/dentists' role, government-led initiatives) for tobacco control in South Asian immigrant communities. This research provides implications for improving tobacco control efforts in the United States, particularly for South Asian immigrants.

Challenges in Enforcing Home Smoking Rules in a Low-Income Population: Implications for Measurement and Intervention Design

INTRODUCTION

Smoke-free homes reduce exposure to secondhand smoke, contribute to lower levels of consumption, and help smokers to quit. Even when home smoking rules are established however, they may not be consistently enforced.

METHODS

This study uses data from a randomized controlled trial of a brief intervention to create smoke-free homes among callers to the United Way of Greater Atlanta 2-1-1. Participants with partial or full home smoking bans at 6-month follow-up were asked about enforcement challenges, rooms where smoking occurred, and exceptions to the rules. Air nicotine monitors were placed in a subset of homes.

RESULTS

Participants (n = 286) were mostly female (84.6%) and African American (84.9%). Most were smokers (79.0%) and reported at least half of their friends and relatives smoked (63.3%). Among those with a full ban, 4.3% reported their rules were broken very often whereas 52.6% stated they were never broken. Bad weather and parties were the most common exceptions to rules. Among nonsmokers with full bans, 16% reported exposure to secondhand smoke in the home 1-3 days in the past week. In multivariate analyses, having a partial ban, being a nonsmoker, and living with three or more smokers predicted higher levels of enforcement challenges.

CONCLUSIONS

Findings suggest the majority of households with newly adopted smoke-free rules had no or rare enforcement challenges, but about one-fifth reported their rules were broken sometimes or very often. Interventions to create smoke-free homes should address enforcement challenges as newly adopted rules may be fragile in some households.

IMPLICATIONS

Interventions that promote smoke-free homes should address enforcement challenges.

Impact of National Smoke-Free Legislation on Educational Disparities in Smoke-Free Homes: Findings from the SIDRIAT Longitudinal Study

Families with lower socioeconomic status are less likely to adopt household smoking bans (HSB). The aim of this study was to determine whether socioeconomic disparities in HSB prevalence in Italy decreased 7–9 years after the introduction of the Italian ban on smoking in public places. A longitudinal, 12-year, two-wave study was conducted on a sample of 3091 youths aged 6–14 years in 2002; 1763 (57%) were re-interviewed in 2012–2014. A Poisson regression with a robust error variance was used to assess the association between socioeconomic disparities and HSB prevalence. The adoption of HSBs significantly increased from 60% in 2002 to 75% in 2012–2014, with the increase recorded in youths with ≥1 smoking parent only (from 22% at baseline to 46% at follow-up). The presence of HSBs at baseline was more likely in families with ≥1 graduate parent compared to those with no graduate parents (prevalence ratio (PR) = 1.34, 95% confidence interval (CI) = 1.15–1.57), either in families with ≥1 smoking parent (PR = 1.36, 95% CI = 1.17–1.58) or in families with non-smoking parents (PR = 1.61, 95% CI = 1.01–2.56). Conversely, at follow-up socioeconomic disparities dropped since families with no graduate parents were 1.5-fold more likely to introduce a HSB between the two waves. The Italian ban on smoking in public places may have increased the adoption of smoke-free homes in families with smoking and non-graduate parents, causing the drop of the socioeconomic gap in smoke-free homes.

Effect of self-reported home smoking restriction on smoking initiation among adolescents in Taiwan: a prospective cohort study

OBJECTIVE

The aims of this study were to investigate the influence of home smoking restriction (HSR) and the modified effect of parental smoking on smoking initiation among adolescents.

DESIGN

Prospective Cohort Study.

SETTING

Junior high school in Keelung City, Taiwan.

PARTICIPANTS

This study collected and evaluated primary data from the Adolescent Smoking and Other Health-Related Behaviour Survey conducted in Keelung City, which aimed to investigate smoking and health-related behaviours in junior high school students (2008-2009). Data on students free of smoking in 2008 and following them until 2009 (n=901) to ascertain whether they had started smoking were analysed with logistic regression mode to examine the proposed postulates.

MAIN OUTCOME MEASURE

The outcome variable was smoking initiation, which was defined as smoking status (yes/no) in the 2009 follow-up questionnaire. The main independent variable was HSR obtained from an adolescent self-reported questionnaire. Information on parental smoking was measured by adolescents self-reporting the smoking behaviour of their father and mother.

RESULTS

The rate of HSR was 29.79% among 7th grade adolescents. The effect of HSR on smoking initiation in adolescents was statistically significantly modified by paternal smoking (p=0.04) but not by maternal smoking (p=0.54). The effect of HSR on smoking initiation was small for fathers with the habit of smoking (OR=0.89, 95% CI (0.42 to 1.88)), but the corresponding effect size was 3.2-fold (OR=2.84, 95% CI 1.19 to 6.81) for fathers without the habit of smoking.

CONCLUSIONS

Paternal smoking behaviour may play an interactive role with HSR in preventing smoking initiation among Taiwanese adolescents.

Parental Practices and Attitudes Related to Smoke-Free Rules in Homes, Cars, and Outdoor Playgrounds in US Households With Underage Children and Smokers, 2010-2011

Introduction

A smoke-free environment protects children from exposure to involuntary smoke and also can reduce or prevent future smoking behavior. The purpose of this study was to examine levels and correlates of parental behavior and attitudes related to voluntary smoke-free rules in homes, cars, and outdoor children’s play areas among US households with underage children and 1 or more smoking parents.

Methods

We used data from the 2010–2011 Tobacco Use Supplement to the Current Population Survey and logistic regressions to model behavior and attitudes related to voluntary smoke-free rules in 3 settings.

Results

Overall, 60.1% of households with children and at least 1 smoking parent had voluntary smoke-free home rules. Approximately 84.6% and 71.5% of parents thought that smoking should not be allowed inside cars with children present and in outdoor play areas, respectively. Positive parental behavior and attitudes related to voluntary smoke-free rules were more likely among households with 2 parents, parents of higher education and household income, Hispanic parents, and parents of infants (P < .05).

Conclusion

Tobacco control and prevention efforts are needed to promote the voluntary adoption of smoke-free rules in homes, private cars, and outdoor children’s play areas. Most parents from smoker households with underage children were supportive of smoke-free laws for cars and outdoor children’s play areas, providing evidence and encouragement to policy makers to take action to restrict smoking in these locations.

A minimal intervention to promote smoke-free homes among 2-1-1 callers: a randomized controlled trial

OBJECTIVES

We tested the efficacy of a minimal intervention to create smoke-free homes in low-income households recruited through the United Way of Greater Atlanta 2-1-1, an information and referral system that connects callers to local social services.

METHODS

We conducted a randomized controlled trial (n=498) from June 2012 through June 2013, with follow-up at 3 and 6 months. The intervention consisted of 3 mailings and 1 coaching call.

RESULTS

Participants were mostly smokers (79.7%), women (82.7%), African American (83.3%), and not employed (76.5%), with an annual household income of $10,000 or less (55.6%). At 6-months postbaseline, significantly more intervention participants reported a full ban on smoking in the home than did control participants (40.0% vs 25.4%; P=.002). The intervention worked for smokers and nonsmokers, as well as those with or without children.

CONCLUSIONS

Minimal intervention was effective in promoting smoke-free homes in low income households and offers a potentially scalable model for protecting children and adult nonsmokers from secondhand smoke exposure in their homes.

Environmental tobacco smoke exposure among smokers and non-smokers receiving outpatient substance abuse treatment

INTRODUCTION

Environmental Tobacco Smoke (ETS) has been linked to numerous health problems. While research has demonstrated high prevalence of tobacco use among individuals receiving treatment for substance use disorders (SUDs), no studies have examined ETS among individuals receiving treatment for SUDs, paying specific attention to non-smokers who may be at risk for high exposure to ETS.

METHODS

Participants (N=261) enrolled in outpatient substance abuse treatment completed a survey, in which 14 items were used to quantify ETS exposure and smoking policies across several environments.

RESULTS

Among smokers, 85% reported that their significant others also smoked as compared to 15% among non-smokers (χ(2)=6.624, p<.05). A logistic regression examined the characteristics that predicted smoking in the home. The overall model was significant, (χ(2)=36.046, p<.0005) with variables that independently predicted smoking in the home included having less than a high school diploma, being female, and living with a smoker. Income, age, and living with children were not found to be significant. Overall, 42% white collar workers 26% of service workers and 30% of blue collar workers reported no exposure to ETS. Sixty-seven percent of smokers strongly agreed or agreed that the hazards of secondhand smoke have been clearly demonstrated versus 58% of non-smokers.

CONCLUSIONS

Smokers and non-smokers enrolled in outpatient substance abuse treatment are frequently exposed to ETS at home, work, and in social settings. The dangers of ETS should be addressed among this population through education, smoke-free policies, and cessation resources, with help from their treatment facility.

Smoke-free homes and home exposure to secondhand smoke in Shanghai, China

Few studies have examined home exposure to secondhand smoke (SHS) in China. This study aimed to document: (1) the prevalence and correlates of exposure to SHS in homes (in adult non-smokers) in Shanghai, and (2) enforcement of rules, harm reduction behaviors, and self-efficacy for maintaining smoke-free homes in Shanghai. A total of 500 participants were recruited using a multistage proportional random sampling design in an urban and suburban district to complete a survey. Among the total 355 nonsmokers, 127 (35.8%) participants reported being exposed to SHS in the past 7 days. Participants living with smokers in the home, with no smoking restriction at home, and having children younger than 18 were more likely to be exposed to SHS at home. Higher self-efficacy in maintaining a smoke-free home was negatively associated with home SHS exposure. Having visitors who smoke was the greatest policy enforcement challenge. Ineffective measures such as opening windows were more commonly used in homes with partial bans. Educational initiatives to protect against SHS exposure in the home should promote smoke-free homes, address challenges to implementing such policies, and address misconceptions regarding the effectiveness of supposed harm reduction behaviors.

Full and home smoking ban adoption after a randomized controlled trial targeting secondhand smoke exposure reduction

INTRODUCTION

The current study examined home and full (i.e., home plus car) smoking ban adoption as secondary outcomes to a randomized controlled trial targeting reduced secondhand smoke exposure (SHSe) for children under treatment for cancer.

METHODS

Families with at least 1 adult smoker who reported SHSe for their children (n = 119) were randomized to control or intervention conditions and followed for 1 year with 5 assessments. Both groups were advised of the negative health outcomes associated with SHSe; the intervention group provided more in-depth counseling from baseline to 3 months. Parents reported on household and car smoking behavior, demographic, psychosocial, and medical/treatment-related information.

RESULTS

Regardless of group assignment, there was an increase in home (odds ration [OR] = 1.16, p = .074) and full (OR = 1.37, p = .001) smoking ban adoption across time. Families in the intervention group were more likely to adopt a full ban by 3 months, but this difference was nonsignificant by 12 months. Married parents (OR = 2.33, p = .006) and those with higher self-efficacy for controlling children's SHSe (OR = 1.11, p = .023) were more likely to have a home smoking ban; parents who reported smoking fewer cigarettes were more likely to adopt a home (OR = 1.62, p < .0001) or full (OR = 7.32, p = .038) ban.

CONCLUSIONS

Smoking bans are in-line with Healthy People 2020's tobacco objectives and may be more feasible for parents with medically compromised children for immediate SHSe reduction. Furthermore, interventions targeting full smoking bans may be a more effective for comprehensive elimination of SHSe.

Secondhand smoke exposure across the life course and the risk of adult-onset depression and anxiety disorder

INTRODUCTION

The aim of this paper was to investigate the association between childhood and adulthood exposure to secondhand smoke (SHS) and depression, panic attack, and generalized anxiety disorder among adults in the United States over a 10-year period.

METHODS

Data were drawn from the Midlife Development in the United States (MIDUS) Waves 1 and 2 (N=2053). Self-reported childhood and adulthood SHS exposure at Wave 1 (1994) was examined in relation to incident depression, panic attack, and generalized anxiety disorder 10 years later at Wave 2 (2005).

RESULTS

Childhood SHS alone was not associated with mood and anxiety disorders in adulthood. Exposure to SHS in both childhood and adulthood was associated with increased depression and panic attack in adulthood. These associations did not appear to be due to confounding.

LIMITATIONS

SHS exposure was measured via self-report; biological data confirming exposure were not collected. More objective measures of SHS exposure are needed in future studies.

CONCLUSIONS

In summary, persistent exposure to SHS across the life course may be associated with increased risk of depression and panic attacks. Our results are consistent with prior findings and extend earlier results by showing a relationship between SHS exposure and mental health problems over time. Replication with biological measures of SHS over time is a necessary next step toward better understanding the pathways explaining these relationships.

Predictors of indoor smoking at young children's homes--a cross-sectional study

The aim of the study was to determine factors associated with indoor smoking in homes (ISIH) using a sample of households with at least one child aged 3 or younger and at least one smoking adult. In a defined German region, all households (n = 3,570) with a child aged 3 or younger were invited to participate in a study that tested the efficacy of an intervention for reducing exposure to environmental tobacco smoke. In 1,282 households, at least one parent reported daily smoking. Among these, 917 (71.5 %) participated in the study. ISIH was defined as smoking 'in specific rooms only' or 'everywhere'. Cross-sectional data were analysed using regression analysis. Among the households, 37.5 % reported ISIH. ISIH was more likely if the youngest child had not visited a nursery (OR, 1.81; CI, 1.21-2.70) and if no private outdoor area was present (OR = 4.38, CI, 2.64-7.25). Lower household education level and partly unemployment in dual-parent households were associated with ISIH.

CONCLUSION

Fostering nursery attendance and availability of a private outdoor area may protect young children living in household with smoking parents from environmental tobacco smoke.

Correlates of smoke-free home policies in Shanghai, China

Background. Approximately 63.7% of nonsmokers in China are exposed to secondhand smoke (SHS) in their homes. The current study documents the prevalence and correlates of smoke-free home policies in Shanghai, as well as reasons for implementing such a policy and places where smoking is most commonly allowed. Methods. We conducted in-person surveys of 500 participants using a multistage proportional random sampling design in an urban and suburban district. Results. Overall, 35.3% had a smoke-free home policy. In the logistic regression, having higher income, not having smokers in the home, having children in the home, having fewer friends/relatives who permit smoking at home, and not being a current smoker were correlates of having a smoke-free home policy (P < 0.05). Concern about the health impact of SHS was reportedly the most important reason for establishing a smoke-free home. Among participants with no or partial bans, the most common places where smoking was allowed included the living room (64.2%), kitchen (46.1%), and bathroom (33.8%). Conclusions. Smoke-free home policies were in place for a minority of households surveyed. Establishing such a policy was influenced by personal smoking behavior and social factors. These findings suggest an urgent need to promote smoke-free home policies through tobacco control programs.

Home smoking policies in urban households with children and smokers

OBJECTIVE

We identified household, child, and demographic characteristics associated with not having a smoking ban and having a rule about smoking in the presence of children in an urban population.

METHOD

We conducted a cross-sectional random digit dial telephone survey (n=456) of Philadelphia parents in June 2012.

RESULTS

Forty-eight percent of homes reported a full smoking ban. In homes that allowed smoking, over half allowed smoking in front of children. Cigarettes smoked in the home decreased as the restrictiveness of the bans increased. Multinomial logistic regression analyses showed that compared to having a full ban, banning smoking only in the presence of children was associated with being African-American, having a child >5 years old, and having an asthma-free child. These characteristics, as well as having both parents as smokers and not having an outdoor space, were also associated with not having any restrictions.

CONCLUSION

It is possible that households attempt to reduce home smoking by limiting smoking in the presence of children. Health communication messages should be used to inform families about the lingering effects of SHS in the home even when smoking does not occur in the presence of a child.

Factors influencing adoption of and adherence to indoor smoking bans among health disparity communities

OBJECTIVES

We assessed current home smoking behaviors and secondhand smoke (SHS) levels among parents of children in low-income, racial/ethnic minority communities in Massachusetts.

METHODS

We used a cross-sectional design to assess home smoking rules, smoking status, cigarettes smoked in the home, and barriers and benefits to attaining a smoke-free home among 138 caregivers (mean age=30.0 years; 92% women) of children aged 0 to 6 years, between April 2010 and September 2012. Indoor SHS was assessed using a nicotine dosimeter.

RESULTS

Households with no ban reported a higher weekly mean number of cigarettes smoked in the home (114 cigarettes/week) than homes with partial (71 cigarettes/week) or complete (30 cigarettes/week) bans (P<.01). Smoking occurred outside more than inside homes with partial or complete bans. Air nicotine levels were positively associated with no household smoking ban, current smoking by the caregiver, and smoking indoors.

CONCLUSIONS

Strategies to reduce home SHS should focus on a "complete" home smoking ban and smoking cessation. SHS mitigation strategies such as smoking outside were associated with lower SHS among participants unable to maintain a complete ban, and might enhance the likelihood of longer term success while immediately reducing home SHS.

The effect of household smoking bans on household smoking

OBJECTIVES

Because household smoking levels and adoption of domestic smoking rules may be endogenously related, we estimated a nonrecursive regression model to determine the simultaneous relationship between home smoking restrictions and household smoking.

METHODS

We used data from a May-June 2012 survey of Philadelphia, Pennsylvania, households with smokers (n = 456) to determine the simultaneous association between smoking levels in the home and the presence of home restrictions on smoking.

RESULTS

We found that home smoking rules predicted smoking in the home but smoking in the home had no effect on home smoking restrictions.

CONCLUSIONS

Absent in-home randomized experiments, a quasi-experimental causal inference suggesting that home smoking rules result in lower home smoking levels may be plausible.

Prevalence of smoke-free car and home rules in Maine before and after passage of a smoke-free vehicle law, 2007-2010

INTRODUCTION

This is the first study to examine the prevalence of self-reported smoke-free rules for private cars and homes before and after the passage of a smoke-free vehicle law.

METHODS

Data were examined for 13,461 Maine adults aged 18 or older who participated in the Behavioral Risk Factor Surveillance System, a state-based telephone survey covering health topics. Self-reported smoke-free car and home rules, smoking behavior, and demographic variables of age, sex, education, income, and children in household were analyzed for prevalence before and after the state's smoke-free vehicle law was passed.

RESULTS

Prevalence of smoke-free car and home rules was significantly higher after Maine's smoke-free vehicle law was passed in the state (P = .004 for car rules and P = .009 for home rules). Variations in smoking rules differed by smoking and demographic variables. People with household incomes of less than $20,000 saw an increase of 14.3% in smoke-free car rules; overall, those with annual incomes of less than $20,000 and those with less than a high school education reported a lower prevalence of smoke-free car rules both before and after the law was passed than did people with higher incomes and higher education levels. The prevalence of smoke-free home rules after the law was implemented was higher among those with 4 or more years of college education than among those with lower levels of education (P = .02).

CONCLUSION

The prevalence of smoke-free car and home rules among Maine adults was significantly higher after the passage of a statewide smoke-free vehicle law. This apparent change in smoke-free rule prevalence may be indicative of changing social norms related to the unacceptability of secondhand smoke exposure.