Home Secondhand Smoke Exposure Research Articles

Secondhand tobacco smoke exposure in homes and vehicles in youth: disparities among racial, and sexual and gender minorities.

Secondhand smoke exposure (SHSe) among youth is a serious public health concern, leading to an increased risk of conditions such as asthma and respiratory infections. However, there is little research on SHSe among vulnerable populations, such as racial and sexual minorities. Understanding the factors associated with youth SHSe in homes and vehicles is crucial to developing better protective policies. This study utilized 2020 data from the National Youth Tobacco Survey, a representative sample of middle- and high-school students in the US. The primary outcomes were youth SHSe at home and while riding in a vehicle. Multinomial regression models were used to assess factors associated with SHSe. The data included 9,912 students enrolled in grades 6 through 12 in the United States who reported never using any form of tobacco. Non-Hispanic Black students living with someone who does not use any form of tobacco products were significantly more likely to experience moderate [OR = 2.1 (1.1-3.9), p = 0.03] and severe [OR = 5.1 (2.2-11.7), p < 0.001] secondhand smoke exposure (SHSe) in homes compared to their non-Hispanic White counterparts. Heterosexual female students had lower odds of reporting moderate SHSe in the home compared to heterosexual males [OR = 0.7 (0.6-0.99), p = 0.02], whereas bisexual females had two-fold increased odds of severe SHSe in homes [OR = 2.0 (1.2-3.4), p = 0.01]. Significant efforts are needed to develop targeted interventions to reduce SHSe in homes and vehicles, particularly in these vulnerable populations.

Measurement of airborne nicotine, as a marker of secondhand smoke exposure, in homes with residents who smoke in 9 European countries

ObjectiveSmoke-free policies are effective in preventing secondhand smoke (SHS) exposure, but their adoption at home remains largely voluntary. This study aimed to quantify SHS exposure in homes with residents who smoke in Europe according to households’ characteristics, tobacco consumption habits, and national contextual factors. MethodsCross-sectional study (March 2017–September 2018) based on measurements of air nicotine inside 162 homes with residents who smoke from nine European countries. We installed passive samplers for seven consecutive days to monitor nicotine concentrations. Through self-administered questionnaires, we collected sociodemographic information and the number of individuals who smoke, smoking rules, frequency, location, and quantity of tobacco use in households. Country-level factors included the overall score in the Tobacco Control Scale 2016, the smoking prevalence, and self-reported SHS exposure prevalence. Nicotine concentrations were analyzed as continuous and dichotomous variables, categorized based on the limit of quantification of 0.02 μg/m3. ResultsOverall, median nicotine concentration was 0.85 μg/m3 (interquartile range (IQR):0.15–4.42), and there was nicotine presence in 93% of homes. Participants reported that smoking was not permitted in approximately 20% of households, 40% had two or more residents who smoked, and in 79% residents had smoked inside during the week of sampling. We found higher nicotine concentrations in homes: with smell of tobacco smoke inside (1.45 μg/m3 IQR: 0.32–6.34), where smoking was allowed (1.60 μg/m3 IQR: 0.68–7.63), with two or more residents who smoked (2.42 μg/m3 IQR: 0.58–11.0), with more than 40 cigarettes smoked (2.92 μg/m3 IQR: 0.97–10.61), and where two or more residents smoked inside (4.02 μg/m3 IQR: 1.58–11.74). Household nicotine concentrations were significantly higher in countries with higher national smoking prevalence and self-reported SHS exposure prevalence (p < 0.05). ConclusionsSHS concentrations in homes with individuals who smoke were approximately twenty times higher in homes that allowed smoking compared to those reporting smoke-free household rules. Evidence-based interventions promoting smoke-free homes should be implemented in combination with strengthening other MPOWER measures.

Child Tobacco Smoke Exposure, Indoor Home Characteristics, and Housing Stability among a National Sample of U.S. Children.

(1) Objectives: To examine the associations of child tobacco smoke exposure (TSE) with home quality and housing instability. (2) Methods. A secondary analysis of 32,066 U.S. 0-11-year-old children from the 2018-2019 National Survey of Children's Health was conducted. Child home TSE status was defined as: no TSE: child lived with no smokers; thirdhand smoke (THS) exposure only: child lived with a smoker(s) who did not smoke indoors; and secondhand smoke (SHS) and THS exposure: child lived with a smoker(s) who smoked indoors. Home quality was assessed by the presence of mold or pesticide use and housing instability was assessed by home ownership, frequency of moves, and number of household members. We conducted weighted multivariable logistic regression and linear regression models while adjusting for important child covariates. (3) Results: In total, 12.3% had home THS exposure only and 1.6% had home SHS and THS exposure. Compared to children with no home TSE, children with home SHS and THS exposure were 2.60 times more likely (95%CI = 1.73, 3.92) to have mold inside their homes; 1.57 times more likely (95%CI = 1.09, 2.26) to live in homes where pesticides were used ≥1 time during the past 12-months; and more likely to have more frequent moves (β = 1.06, 95%CI = 0.62, 1.50). (4) Conclusions: Children with home TSE have higher rates of mold, pesticide use, frequent moves, and household members compared to children with no home TSE. Children with TSE should also be screened for home quality and housing instability and provided with appropriate interventions and resources.

Disparities in Neighborhood Characteristics among U.S. Children with Secondhand and Thirdhand Tobacco Smoke Exposure.

(1) Background: Home tobacco smoke exposure (TSE) and negative neighborhood characteristics adversely affect children’s overall health. The objective was to examine the associations of child TSE status and neighborhood characteristics among U.S. school-aged children. (2) Methods: We conducted a secondary analysis of the 2018–2019 National Survey of Children’s Health (NSCH) data including 17,300 U.S. children ages 6–11 years old. We categorized children’s home TSE status into: (a) no TSE: child did not live with a smoker; (b) thirdhand smoke (THS) exposure alone: child lived with a smoker who did not smoke inside the home; and (c) secondhand smoke (SHS) and THS exposure: child lived with a smoker who smoked inside the home. We conducted a series of weighted linear and logistic regression analyses to assess the associations between child TSE status and neighborhood characteristics, adjusting for covariates. (3) Results: Overall, 13.2% and 1.7% of children were exposed to home THS alone and home SHS and THS, respectively. Compared to children with no TSE, children with home THS exposure alone and children with home SHS and THS exposure had a significantly lower total number of neighborhood amenities and children with SHS and THS exposure had a significantly higher total number of detracting neighborhood elements. (4) Conclusions: Children with TSE demonstrate disparities in the characteristics of the neighborhood in which they live compared to children with no TSE. TSE reduction interventions targeted to children with TSE who live in these neighborhoods are warranted.

Disparities in dental health issues and oral health care visits in US children with tobacco smoke exposure

BackgroundThe objective of the authors was to assess the relationships between tobacco smoke exposure (TSE) and dental health and dental care visits among US children. MethodsThe authors examined 2018-2019 National Survey of Children’s Health data on TSE, dental health, and oral health care visits. Children aged 1 through 11 years (N = 32,214) were categorized into TSE groups: no home TSE (did not live with a smoker), thirdhand smoke (THS) exposure (lived with a smoker who did not smoke inside the home), or secondhand smoke (SHS) and THS exposure (lived with a smoker who smoked inside the home). The authors conducted multivariable logistic regression analyses, adjusting for child age, sex, race or ethnicity, prematurity, caregiver education level, family structure, and federal poverty threshold. ResultsChildren with home SHS and THS exposure were at increased odds of having frequent or chronic difficulty with 1 or more oral health problem (adjusted odds ratio [AOR], 1.59; 95% CI, 1.07 to 2.35; P = .022) and carious teeth or caries (AOR, 1.74; 95% CI 1.14 to 2.65; P = .010) than those with no TSE. Compared with children aged 1 through 11 years with no TSE, children with SHS and THS exposure were 2.22 times (95% CI, 1.01 to 4.87; P = .048) more likely to have not received needed oral health care but at decreased odds of having had any kind of oral health care visit (AOR, 0.55; 95% CI, 0.32 to 0.95; P = .032), including a preventive oral health care visit (AOR, 0.60; 95% CI, 0.36 to 0.99; P = .047). ConclusionsTSE in children is associated with caries and inadequate oral health care visits. Practical ImplicationsThe pediatric dental visit is an opportune time to educate caregivers who smoke about dental health to improve their children’s teeth condition and increase oral health care visits.

Egyptian HCPs’ awareness, attitudes and practice to SHS exposure among pregnant women and children

Abstract Background and aims Around half of Egyptian pregnant non-smoking women and children are exposed to secondhand smoke (SHS), which cause serious morbidities. Health care professionals (HCPs) are well placed to help reduce SHS exposure by encouraging avoiding SHS. This study aimed to explore risk-awareness, attitudes and practice of HCPs in relation to SHS exposure among pregnant women and children in Egypt. Methods Cross-sectional survey of HCPs working in public maternal and child health clinics in Assiut city, Egypt. The survey included questions on risk-awareness, attitudes and counselling practice. Descriptive and regression analysis was performed to explore factors associated with high risk-awareness, supportive attitudes, and good counselling practice. Results 367 HCPs participated in the survey with the majority being nurses (45%) and gynaecologists/obstetricians (21%). 12.5% of HCPs were smokers, and considerable proportion of HCPs reported being exposed to SHS at workplace (70.3%) and at home (51.7%). Just over half of all HCPs (55.9%) had high SHS risk awareness. Speciality, serving urban communities, and home SHS exposure were significantly associated with high-risk awareness. 52.9% of HCPs had supportive attitude towards preventing SHS exposure. Being female, serving rural communities, home SHS exposure were significantly associated with supportive attitudes. Only 51.8% of HCPs reported good counselling practice, which was explaining SHS hazards and advising to avoid it. Being female, serving rural communities, not exposed to SHS at home, and previous training on smoking cessation service were significantly associated with good counselling practice. Conclusions HCPs' awareness, attitudes and practice regarding the risks of SHS to pregnant women and children in Egypt are at low levels. Training is required for HCPs to improve their knowledge and skills and be able to help pregnant women and children to avoid SHS exposure and reduce consequent health burden. Key messages HCPs’ awareness and practice regarding risks of SHS to pregnant women/children in Egypt are inadequate. HCPs’ training is essential to help pregnant women/children to avoid SHS and reduce health burden.

Prevalence and Quantification of Secondhand Smoke Exposure Among Hospitalized Children

Using caregiver report and urinary cotinine measures, we defined the prevalence of secondhand smoke (SHS) exposure among young, hospitalized children and compared exposure among those hospitalized with pneumonia versus those with acute, nonrespiratory illnesses. Children aged <6 years hospitalized with pneumonia or acute, nonrespiratory illnesses were enrolled on admission, and urinary cotinine, a nicotine biomarker, was measured. Caregivers were also queried on home SHS exposure. We modeled associations between sociodemographic characteristics and exposure intensity on the basis of cotinine level (none, light, and heavy) using multivariable proportional odds regression. We also examined associations between SHS exposure intensity and diagnosis (pneumonia versus nonrespiratory illness). For this analysis, diagnosis was the outcome of interest, and urinary cotinine was the primary exposure variable. Overall, 36% of the 239 enrolled children had reported home SHS exposure, although 77% had detectable levels of urinary cotinine, including 59% with heavy exposure. The highest urinary cotinine level was among children exposed to indoor smoking (7.78 ng/mL, interquartile range 2.93-18.65; P < .001). Increased SHS exposure was associated with non-Hispanic ethnicity, lower household educational attainment, and public insurance. There were no differences in SHS exposure by diagnosis. Among hospitalized young children, reported home SHS exposure was common but substantially underestimated when compared with urinary cotinine levels. The highest urinary cotinine levels were among children exposed to indoor smoking. Future public health interventions, as well as more robust SHS exposure screenings on hospital admission, are needed to reduce the prevalence of SHS exposure among young children.

Burden of disease from second-hand tobacco smoke exposure at home among adults from European Union countries in 2017: an analysis using a review of recent meta-analyses

Smoke-free legislation reduced second-hand smoke (SHS) exposure in public places, and indirectly promoted private smoke-free settings. Nevertheless, a large proportion of adults is still exposed to SHS at home. The aim of this paper is to quantify the burden of disease due to home SHS exposure among adults in the 28-European Union (EU) countries for year 2017.The burdens by gender from lung cancer, chronic obstructive pulmonary disease (COPD), breast cancer, ischemic heart disease (IHD), stroke, asthma, and diabetes were estimated in an original research analysis using the comparative risk assessment method. Relative risks of death/diseases by gender for adults exposed to SHS at home compared to not exposed ones were estimated updating existing meta-analyses. Prevalence of home SHS exposure by gender was estimated using a multiple imputation procedure based on Eurobarometer surveys. Data on mortality and disability adjusted life years (DALYs) were obtained from the Global Burden of Disease, Injuries and Risk Factors Study.In 2017, 526,000 DALYs (0.36% of total DALYs) and 24,000 deaths (0.46% of total deaths) were attributable to home SHS exposure in the 28-EU countries, mainly from COPD and IHD. South-Eastern EU countries showed the highest burden, with proportion of DALYs/deaths attributable to SHS exposure on total higher than 0.50%/0.70%, whereas northern EU-countries showed the lowest burden, with proportions of DALYs/deaths lower than 0.25%/0.34%.The burden from SHS exposure is still significant in EU countries. More could be done to raise awareness of the health risks associated with SHS exposure at home.

Burden of disease from exposure to secondhand smoke in children in Europe.

Secondhand smoke (SHS) exposure at home and fetal SHS exposure during pregnancy are a major cause of disease among children. The aim of this study is quantifying the burden of disease due to SHS exposure in children and in pregnancy in 2006-2017 for the 28 European Union (EU) countries. Exposure to SHS was estimated using a multiple imputation procedure based on the Eurobarometer surveys, and SHS exposure burden was estimated with the comparative risk assessment method using meta-analytical relative risks. Data on deaths and disability-adjusted life years (DALYs) were collected from National statistics and from the Global Burden of Disease Study. Exposure to SHS and its attributable burden stalled in 2006-2017; in pregnant women, SHS exposure was 19.8% in 2006, 19.1% in 2010, and 21.0% in 2017; in children it was 10.1% in 2006, 9.6% in 2010, and 12.1% in 2017. In 2017, 35,633 DALYs among children were attributable to SHS exposure in the EU, mainly due to low birth weight. Comprehensive smoking bans up to 2010 contributed to reduce SHS exposure and its burden in children immediately after their implementation; however, SHS exposure still occurs, and in 2017, its burden in children was still relevant. Exposure to secondhand smoke at home and in pregnancy is a major cause of disease among children. Smoking legislation produced the adoption of voluntary smoking bans in homes; however, secondhand smoke exposure at home still occurs and its burden is substantial. In 2017, the number of deaths and disability-adjusted life years in children attributable to exposure to secondhand smoke in the European Union countries were, respectively, 335 and 35,633. Low birth weight caused by secondhand smoke exposure in pregnancy showed the largest burden. Eastern European Union countries showed the highest burden.

Socioeconomic inequalities in secondhand smoke exposure before, during and after implementation of Quebec’s 2015 ‘An Act to Bolster Tobacco Control’

BackgroundTo better understand whether tobacco control policies are associated with changes in secondhand smoke (SHS) exposure across socioeconomic groups, we monitored differences in socioeconomic inequalities in SHS exposure in households...

Voluntary Smoke-Free Home Rules and Exposure to Secondhand Smoke in Poland: A National Cross-Sectional Survey.

Smoke-free policies have been shown to significantly reduce secondhand smoke (SHS) exposure in private and public places. The objectives of this study were to: (1) to assess the prevalence and characteristics of voluntary smoke-free home rules in Poland; and (2) assess the association of smoke-free rules with self-reported SHS exposure in private homes. A cross-sectional survey was conducted in September 2019 with a nationally representative sample of 1011 individuals aged 15 and over. Nationally, 66.1% of individuals had a 100% smoke-free home rule (78.9% of non-smokers and 18.6% of smokers; p < 0.001), while a further 24.6% had adopted a partial home smoking rule. SHS exposure in the home during past month was reported by 6.1% of respondents (11.5% of smokers and 4.5% of non-smokers; p < 0.001). The lowest level of SHS exposure (1.8%) was observed among respondents who had implemented a full smoke-free home rule. Non-smokers had higher odds of having adopted a total smoke-free home rule compared with smokers (aOR: 19.17; 95% CI: 12.89–28.50). Moreover, non-smokers had lower odds (aOR: 0.35; 95% CI: 0.20–0.61; p < 0.001) of self-reporting SHS smoke exposure at home. Although two-thirds of the Polish population have adopted a full smoke-free home rule in their homes, smokers continue to lag in adoption rates relative to non-smokers.

Reducing Socioeconomic Disparities in Comprehensive Smoke-Free Rules among Households with Children: A Pilot Intervention Implemented through a National Cancer Program.

Most households with a smoker do not implement comprehensive smoke-free rules (smoke-free homes and cars), and secondhand smoke (SHS) exposure remains prevalent among children and low-socioeconomic status (SES) populations. This pilot project aimed to assess implementation feasibility and impact of an intervention designed to increase smoke-free rules among socioeconomically disadvantaged households with children. The pilot was implemented through Minnesota’s National Breast and Cervical Cancer Early Detection Program (NBCCEDP). NBCCEDPs provide cancer prevention services to low-income individuals experiencing health disparities. We successfully utilized and adapted the Smoke-Free Homes Program (SFHP) to address comprehensive smoke-free rules among households with children. We used two recruitment methods: (a) direct mail (DM) and (b) opportunistic referral (OR) by patient navigators in the NBCCEDP call center. We used descriptive statistics to assess implementation outcomes and hierarchical logistic regression models (HLM) to assess change in smoke-free rules and SHS exposure over the study period. There was no comparison group, and HLM was used to examine within-person change. A total of 64 participants were recruited. Results showed 83% of participants were recruited through DM. OR had a high recruitment rate, and DM recruited more participants with a low response rate but higher retention rate. Among recruited participants with data (n = 47), smoke-free home rules increased by 50.4 percentage points during the study period (p < 0.001). Among recruited participants who had a vehicle (n = 38), smoke-free car rules increased by 37.6 percentage points (p < 0.01) and comprehensive smoke-free rules rose 40.9 percentage points (p < 0.01). Home SHS exposure declined, and within-person increase in smoke-free home rules was significantly related to less home SHS exposure (p < 0.05). It is feasible to adapt and implement the evidence-based SFHP intervention through a national cancer program, but the current pilot demonstrated recruitment is a challenge. DM produced a low response rate and therefore OR is the recommended recruitment route. Despite low recruitment rates, we conclude that the SFHP can successfully increase comprehensive smoke-free rules and reduce SHS exposure among socioeconomically disadvantaged households with children recruited through a NBCCEDP.

Predictive Risk Factors for Continued Smoking after the Diagnosis of a Genitourinary Malignancy

To determine risk factors for continued smoking following a diagnosis of a genitourinary (GU) malignancy. Smoking is a well established risk factor in the development of cancers involving the GU tract. Unfortunately, a large percentage of patients continue to smoke or relapse after cancer diagnosis; by doing so, there is an increased risk of recurrence, poor survival rates, treatment complications, secondary primary cancers, and other chronic smoking related illnesses. Two hundred and five patients who presented to a Urologic Oncology clinic at a single tertiary treatment center were given smoking cessation counseling and pharmacotherapy, as well as a questionnaire which was used to identify smoking status, demographics, and behavioral/psychosocial characteristics. Patients were followed for a minimum of 1 year with a median length of follow up for 13 months. 91% of patients enrolled in the study continued smoking at survey completion. After accounting for age, ethnicity, education and cigarettes consumed/day, 5 variables were independently associated with an increased risk of continued smoking: smoking 20 or more cigarettes per day, less than 2 prior quit attempts, anxiety and/or depression, fear of cancer recurrence, and home secondhand smoke exposure. The role of the urologist is imperative for encouraging smoking cessation. While every patient should receive adequate counseling regarding smoking at the time of a GU malignancy diagnosis, identifying patients with the risk factors noted in this study and augmenting smoking cessation efforts may result in stronger efforts to quit and prevention of long-term complications.

Secondhand smoke exposure at home and public places among smokers and non-smokers in India: findings from the Global Adult Tobacco Survey 2016-17.

Secondhand smoke (SHS) accounts for 0.9 million deaths and 24 million disability adjusted life years (DALYs) annually. Nearly 30% of adults in India are exposed to SHS in India. To reduce SHS exposure, India enacted a smoke-free law in 2003 under which smoking in public places is banned. However, the compliance to this law has been variable in several assessments in the country. A better understanding of the nature and extent of SHS exposure can help inform better implementation of national smoke-free policies. The Global Adult Tobacco Survey (GATS) India 2016-17 collects information on the self-reported prevalence of SHS exposure in homes, workplaces, government buildings, restaurants, public transportation and health care facilities among adults (>15years of age).The present study utilized the GATS India 2016-17 dataset to provide estimates of SHS exposure among adults in India in homes, workplace and other public places, across gender and age groups and among the overall population and non-smokers. Weighted analysis was carried out. In the overall population, exposure to SHS in the home was 29.2%, more among young females. In workplaces, exposure to SHS was 29.2% overall, significantly higher among males (32.5%) compared to females (17.8%). In public buildings such as health care facilities and government offices, SHS exposure was less with 15.6% and 21.2% respectively. SHS exposure was high in restaurants with 39.3% overall, significantly higher among males (43.2%) compared to females (22.2%). Similar results were also seen among non-smokers. A large proportion of adults in India, both smokers and non-smokers are exposed to SHS in their homes, workplaces and other public places, especially restaurants, workplaces and public transportation. Females are more exposed to SHS at home, whereas males are more exposed in public places including workplaces. High SHS exposure among youths is also a concern. Stricter enforcement of legislation is required to ensure 100% smoke-free homes, public places and workplaces and reduce SHS exposure.

Promoting Smoke-Free Homes Through Biomarker Feedback Documenting Child Exposure to Tobacco Toxins: Protocol for a Randomized Clinical Trial.

BackgroundExposure to secondhand smoke (SHS) early in life increases the risk of sudden infant death syndrome (SIDS), asthma, and respiratory illnesses. Since children’s primary exposure to SHS occurs in the home, these most vulnerable members of our society are not fully protected by recent increases in the adoption of smoking bans in public spaces. Although exposure to SHS is a quickly reversible cause of excess morbidity, few low-income homes strictly enforce smoking restrictions.ObjectiveThis study aims to test a novel approach to motivate the adoption of home smoking restrictions and to eliminate child SHS exposure by providing parents with objective data documenting home SHS exposure and “biomarker feedback” of child ingestion of tobacco toxins, that is, objective, laboratory-based results of assays performed on child urine, documenting levels of nicotine; cotinine; and NNAL (4-[methylnitrosamino]-1-[3-pyridyl]-1-butanol), which is a metabolite of the known tobacco carcinogen NNK (4-[methylnitro-samino]-1-[3-pyridyl]-1-butanone).MethodsFrom 2011 to 2013, 195 low-income, female smokers with children aged ≤10 years residing in their homes were recruited into a two-arm randomized clinical trial. Participants were assigned to one of two groups: biomarker feedback (n=98) and health education (n=97). In-home assessments were administered at baseline, week 16, and week 26. Children’s home SHS exposure and nicotine, cotinine, and NNAL levels from urine samples, measured through a passive nicotine dosimeter and a surface sample of residual tobacco smoke (ie, thirdhand smoke), were collected at all three time points. Primary outcome was dosimeter-verified, self-reported complete home smoking restrictions at 6 months after randomization. Secondary outcomes included parental self-report of smoking behavior change and child urine tobacco toxin (biomarker) change.ResultsData collection and analyses are complete, and the results are being interpreted.ConclusionsThe study protocol describes the development of a novel community-based controlled trial designed to examine the efficacy of biomarker feedback documenting home and child exposure to SHS on parental smoking behavior change.International Registered Report Identifier (IRRID)RR1-10.2196/12654

Prevalence and correlates of secondhand smoke exposure in the home and in a vehicle among youth in the United States

Private settings are major sources of secondhand smoke (SHS) exposure among youth. We measured prevalence and correlates of youth exposures to home and vehicle SHS. The 2016 National Youth Tobacco Survey of U.S. 6th–12th graders was analyzed (n = 20,675). Past-7-day home or vehicle SHS exposures were self-reported. Descriptive and multivariable analyses were performed on weighted data. Among all students, past-7-day SHS exposures were: vehicle (21.4%, 5.56 million); home (21.7%, 5.64 million); home or vehicle (29.0%, 7.50 million); vehicle and home (14.0%, 3.63 million). By household tobacco-use status, home or vehicle SHS exposure was: tobacco-free households, 8.4%; households with combustible-only tobacco users, 59.8%; households with smokeless tobacco/e-cigarette-only users, 21.8%; and households with combined tobacco products usage, 73.9%. Where only the youth respondent but no other household member(s) used tobacco, the measure of association (vs. tobacco-free households) was ~two-fold higher for vehicle SHS exposures (Adjusted Odds Ratio [AOR] = 6.09; 95% Confidence Interval [CI] = 4.93–7.54 than for home SHS exposures (AOR = 3.16; 95%CI = 2.35–4.25). Conversely, where only household member(s) but not the youth respondent used tobacco, the measure of association was over two-fold higher for home SHS exposures (AOR = 22.15; 95%CI = 19.12–25.67) than for vehicle SHS exposure (AOR = 7.91; 95%CI = 6.96–8.98). In summary, nearly one-third of U.S. youth (7.50 million) were exposed to either home or vehicle SHS. Among non-tobacco-using youth with tobacco-using household member(s), the home was a dominant SHS exposure source; among tobacco-using youth with non-tobacco-using household member(s), a vehicle was a dominant exposure source, possibly peers'. Smoke-free environments, including homes and cars, can reduce youth SHS exposure.

Home Smoke Exposure and Health-Related Quality of Life in Children with Acute Respiratory Illness.

This study aims to assess whether secondhand smoke (SHS) exposure has an impact on health-related quality of life (HRQOL) in children with acute respiratory illness (ARI). This study was nested within a multicenter, prospective cohort study of children (two weeks to 16 years) with ARI (emergency department visits for croup and hospitalizations for croup, asthma, bronchiolitis, and pneumonia) between July 1, 2014 and June 30, 2016. Subjects were surveyed upon enrollment for sociodemographics, healthcare utilization, home SHS exposure (0 or ≥1 smoker in the home), and child HRQOL (Pediatric Quality of Life Physical Functioning Scale) for both baseline health (preceding illness) and acute illness (on admission). Data on insurance status and medical complexity were collected from the Pediatric Hospital Information System database. Multivariable linear mixed regression models examined associations between SHS exposure and HRQOL. Home SHS exposure was reported in 728 (32%) of the 2,309 included children. Compared with nonexposed children, SHS-exposed children had significantly lower HRQOL scores for baseline health (mean difference -3.04 [95% CI -4.34, -1.74]) and acute illness (-2.16 [-4.22, -0.10]). Associations were strongest among children living with two or more smokers. HRQOL scores were lower among SHS-exposed children for all four conditions but only significant at baseline for bronchiolitis (-2.94 [-5.0, -0.89]) and pneumonia (-4.13 [-6.82, -1.44]) and on admission for croup (-5.71 [-10.67, -0.75]). Our study demonstrates an association between regular SHS exposure and decreased HRQOL with a dose-dependent response for children with ARI, providing further evidence of the negative impact of SHS.

Association of secondhand smoke exposure with asthma symptoms, medication use, and healthcare utilization among asthmatic adolescents

ABSTRACTObjective: To investigate the association between secondhand smoke exposure (SHSe) and asthma symptoms, medication use, and emergency department (ED)/urgent care (UC) utilization among adolescents. Methods: We performed a secondary cross-sectional analysis of Population Assessment of Tobacco and Health Study Wave 2 (2014–2015) including asthmatic adolescents (N = 2198). Logistic regression models and Poisson regression models were built. Results: Participants with SHSe ≥1 hour in the past 7 days were at increased risk of reporting shortness of breath and harder to exercise aOR, 1.22; 95% CI, 1.04–1.43), wheezing (aOR, 1.26; 95% CI, 1.01–1.56), wheezing disturbing sleep (aOR, 1.88; 95% CI, 1.35–2.63), wheezing during/after exercise (aOR, 1.41; 95% CI, 1.19–1.66), wheezing limiting speech (aOR, 2.11; 95% CI, 1.55–2.86), dry cough at night (aOR, 1.86; 95% CI, 1.54–2.24), and asthma symptoms disturbing sleep (aOR, 2.25; 95% CI, 1.81–2.79). Participants with SHSe ≥1 hour were more likely to take asthma medications (aOR, 1.25; 95% CI, 1.03–1.52), including steroids (aOR, 1.86; 95% CI, 1.19–2.91), oxygen therapy (aOR, 2.88; 95% CI, 1.82–4.54), and controlling medications (aOR, 1.50; 95% CI, 1.24–1.82). Symptoms and medications varied by living with a smoker and home SHSe. Participants with SHSe were at increased risk of having a higher number of asthma attacks that required steroid use. Participants who lived with a smoker and had home SHSe were at increased risk of having higher ED/UC visits for asthma. Conclusions: SHSe reduction efforts are needed for asthmatic adolescents, and EDs/UCs are promising venues.

Addressing Ethnic Disparities in Adolescent Smoking: Is Reducing Exposure to Smoking in the Home a Key?

Smoking among New Zealand (NZ) adolescents has declined since 2000, but ethnic disparities remain pronounced. To inform prevention efforts, we investigated exposure to and relative importance of known predictors of adolescent smoking and how these have changed over time, for Māori (NZ's indigenous population) and adolescents overall. We used repeat cross-sectional data, 2003-2015, from a national survey of 14- to 15-year olds (N = 20 443-31 696 per year). For the overall sample and for Māori and non-Māori, we calculated adjusted odds ratios (aORs) to assess the association between regular smoking and risk factors each year: one or more parents smoke, best friend smokes, older sibling(s) smoke, and past week exposure to smoking in the home. We calculated population attributable risk (PAR) for risk factors in 2003 and 2015. Between 2003 and 2015, aORs for exposure to smoking in the home increased from 1.7 (95% CI 1.6% to 1.8%) to 2.6 (2.1% to 3.1%) overall and from 1.8 (1.6% to 2.1%) to 3.4 (2.5% to 4.5%) for Māori; aORs for "best friend smokes" also increased, while aORs for sibling smoking and parental smoking did not change meaningfully. PAR for exposure to smoking in the home increased from 17% to 31% overall and from 28% to 57% for Māori, while PARs for other risk factors decreased. Exposure to smoking in the home has become more strongly associated with adolescent smoking over time and is an increasingly important risk factor at the population level (independent of parental smoking), particularly for Māori. Our findings have implications for reducing smoking uptake and ethnic disparities in NZ, and potentially elsewhere, given the similarity in risk factors and trends for adolescent smoking internationally. Our findings suggest that reducing second-hand smoke exposure in homes will likely reduce uptake of smoking. Because Māori children are both more exposed and appear to be more strongly influenced by exposure to smoking in the home, interventions to reduce indoor smoking could have differentially positive effects for Māori. Greater research and policy attention to reducing smoking in homes is warranted.

The association between second-hand smoke exposure and depressive symptoms among pregnant women

Tobacco smoking and depression are strongly associated, but the possible association between second-hand smoke (SHS) exposure and depression is unclear. This study aimed to examine the possible relation between SHS exposure and depressive symptoms among pregnant women. A cross-sectional survey was conducted in Shenzhen, China, using a multistage sampling method. The univariable and multivariable logistic regression models were used to explore the associations between SHS exposure and depressive symptoms. Among 2176 pregnant women, 10.5% and 2.0% were classified as having probable and severe depressive symptoms. Both binary and multinomial logistic regression revealed that there were significantly increased risks of severe depressive symptoms corresponding to SHS exposure in homes or regular SHS exposure in workplaces using no exposure as reference. In addition, greater frequency of SHS exposure was significantly associated with the increased risk of severe depressive symptoms. Our findings suggest that SHS exposure is positively associated with depressive symptoms in a dose-response manner among the pregnant women.