Exposure to E-Cigarette Marketing and Susceptibility to Future Vaping among Black and Latino Adolescents in the United States.

Evidence suggests an association between exposure to electronic cigarette (e-cigarette) marketing and e-cigarette use (vaping) among adolescents. However, there is limited evidence on exposure to e-cigarette marketing and susceptibility to future vaping, especially among Black and Latino adolescents. This study aimed to examine associations between exposure to e-cigarette marketing and susceptibility to future vaping among Black and Latino adolescents in the United States (US). Participants (N = 362; equal representation between Black and Latino adolescents) completed a baseline assessment (available in English and Spanish) including sociodemographic characteristics (e.g., racial/ethnic group, age, gender, sexual orientation, etc.), exposure to e-cigarette marketing, and susceptibility to future vaping. Exposure to e-cigarette marketing was recoded and organized into two categories (high exposure = 2 to 3; low exposure = 0 to 1). Cochran-Mantel-Haenszel tests were used to evaluate the association between exposure to e-cigarette marketing and susceptibility to future vaping, stratified by racial/ethnic group. Multiple logistic regressions assessed the association between exposure to e-cigarette marketing and susceptibility to future vaping, controlling for gender, sexual orientation, grade, and academic performance within each racial/ethnic group. Black adolescents reported significantly higher frequencies of exposure to e-cigarette marketing (p = 0.005). A significant interaction was found between exposure to e-cigarette marketing and racial/ethnic group (X2 (1) = 6.294, p = 0.012). Among Black adolescents, high exposure to e-cigarette marketing (vs. low exposure) was associated with a higher probability of susceptibility to future vaping (OR: 2.399, 95% CI 1.147-5.021, p = 0.020). For Latino adolescents, exposure to e-cigarette marketing was not associated with susceptibility to future vaping (OR: 0.503, 95% CI 0.245-1.03, p = 0.062). Future studies should evaluate how and where adolescents are exposed to e-cigarette marketing. Prevention efforts must include the implementation of effective counter-marketing campaigns and the reduction of exposure to e-cigarette marketing among Black and Latino adolescents.

Are Black and Latino adolescents being asked if they use electronic cigarettes and advised not to use them? Results from a community-based survey.

Objective: This study aimed to explore whether African American/Black and Hispanic/Latino adolescents are being asked about electronic cigarette (e-cigarette) use (vaping) and advised not to use them. Methods: In 2021, adolescents (N = 362) with no vaping history, self-identified as African American/Black and/or Hispanic/Latino, and able to read and speak English and/or Spanish were recruited through partner schools and community-based organizations. Participants completed a survey reporting sociodemographic characteristics (e.g., race/ethnicity, gender, and language of preference) and they were asked about e-cigarette use and/or were advised not to use them by a health professional. Results: In total, 12% of African American/Black and 5% of Hispanic/Latino participants reported not seeing a health professional in the year prior to enrollment. Of the participants who reported visiting a health professional, 50.8% reported being asked and advised about vaping. Over one-quarter (28.4%) of participants were neither asked nor advised regarding vaping. Compared to English-speaking participants, Spanish-speaking participants were significantly less likely to be asked about e-cigarette use (45.2 vs. 63.9%, p = 0.009) and advised not to use them (40.3 vs. 66.9%, p < 0.001). Moreover, compared to African American/Black participants, Hispanic/Latino participants were significantly less likely to be advised not to use e-cigarettes (52.9 vs. 68.6%, p = 0.018). Furthermore, compared to male participants, female participants were significantly less likely to be advised not to use e-cigarettes (51.3 vs. 68.2%, p = 0.003). Conclusion: Compared to English-speaking participants, Spanish-speaking participants were significantly less likely to self-report being asked about e-cigarette use and advised not to use them. Moreover, Hispanic/Latino and female adolescents were significantly less likely to self-report being advised not to use e-cigarettes compared to their Black/African American and male counterparts. Future research is needed to improve health professional attention toward asking about and advising against vaping among adolescents.

Longitudinal Assessment of Association Between Tobacco Use and Tobacco Dependence Among Adults: Latent Class Analysis of the Population Assessment of Tobacco and Health Study Waves 1-4.

INTRODUCTION: With increasing tobacco product varieties, understanding tobacco use (TU) profiles and their associations with tobacco dependence (TD) has also become increasingly challenging. AIMS AND METHODS: We aimed to identify TU profiles and their associations with TD over time, and to identify subgroups with high risk of TD. We included 3463 adult recent tobacco users who had complete TU and TD data across waves 1-4 of the Population Assessment of Tobacco and Health (PATH) study. We used a composite index of TD and a summed TD score from an established 16-item TD measure. We applied a latent class analysis to identify TU profiles based on participants' usage of eight common tobacco product groups at each survey wave and to check the stability of the TU profiles over time. We then used generalized estimating equations regressions to evaluate the longitudinal TU-TD association, adjusting for potential confounders. RESULTS: We identified three distinct TU profiles that remained consistent across four survey waves: Dominant cigarette users (62%-68%), poly users with high propensity of using traditional cigarettes, e-cigarettes, and cigars (24%-31%), and dominant smokeless product users (7%-9%). Covariate-adjusted models showed that TD was significantly lower among the poly users and the dominant smokeless users, compared to that among the dominant cigarette users. CONCLUSIONS: Both TU profiles and their associations with TD were stable over time at the population level. Poly users and smokeless product users were consistently associated with lower TD than cigarette-dominant users, suggesting the need for tailored tobacco cessation interventions for users with different TU profiles. IMPLICATIONS: The finding of consistent TU profiles across four survey waves extends the current literature in capturing TU patterns in an evolving tobacco product landscape. The finding of the overall higher level of TD among the cigarette-dominant users compared to the other TU latent profiles (the Cig+eCig+Cigar dominant poly users and the dominant smokeless product users) can help identify high-risk groups for potential interventions. Our application of innovative statistical methods to high-quality longitudinal data from the PATH study helps improve the understanding of the dynamic TU-TD relationship over time.

Smoking Status, Nicotine Medication, Vaccination, and COVID-19 Hospital Outcomes: Findings from the COVID EHR Cohort at the University of Wisconsin (CEC-UW) Study.

INTRODUCTION: Available evidence is mixed concerning associations between smoking status and COVID-19 clinical outcomes. Effects of nicotine replacement therapy (NRT) and vaccination status on COVID-19 outcomes in smokers are unknown. METHODS: Electronic health record data from 104 590 COVID-19 patients hospitalized February 1, 2020 to September 30, 2021 in 21 U.S. health systems were analyzed to assess associations of smoking status, in-hospital NRT prescription, and vaccination status with in-hospital death and ICU admission. RESULTS: Current (n = 7764) and never smokers (n = 57 454) did not differ on outcomes after adjustment for age, sex, race, ethnicity, insurance, body mass index, and comorbidities. Former (vs never) smokers (n = 33 101) had higher adjusted odds of death (aOR, 1.11; 95% CI, 1.06-1.17) and ICU admission (aOR, 1.07; 95% CI, 1.04-1.11). Among current smokers, NRT prescription was associated with reduced mortality (aOR, 0.64; 95% CI, 0.50-0.82). Vaccination effects were significantly moderated by smoking status; vaccination was more strongly associated with reduced mortality among current (aOR, 0.29; 95% CI, 0.16-0.66) and former smokers (aOR, 0.47; 95% CI, 0.39-0.57) than for never smokers (aOR, 0.67; 95% CI, 0.57, 0.79). Vaccination was associated with reduced ICU admission more strongly among former (aOR, 0.74; 95% CI, 0.66-0.83) than never smokers (aOR, 0.87; 95% CI, 0.79-0.97). CONCLUSIONS: Former but not current smokers hospitalized with COVID-19 are at higher risk for severe outcomes. SARS-CoV-2 vaccination is associated with better hospital outcomes in COVID-19 patients, especially current and former smokers. NRT during COVID-19 hospitalization may reduce mortality for current smokers. IMPLICATIONS: Prior findings regarding associations between smoking and severe COVID-19 disease outcomes have been inconsistent. This large cohort study suggests potential beneficial effects of nicotine replacement therapy on COVID-19 outcomes in current smokers and outsized benefits of SARS-CoV-2 vaccination in current and former smokers. Such findings may influence clinical practice and prevention efforts and motivate additional research that explores mechanisms for these effects.

Relations of Current and Past Cancer with Severe Outcomes among 104,590 Hospitalized COVID-19 Patients: The COVID EHR Cohort at the University of Wisconsin.

BACKGROUND: There is mixed evidence about the relations of current versus past cancer with severe COVID-19 outcomes and how they vary by patient and cancer characteristics. METHODS: Electronic health record data of 104,590 adult hospitalized patients with COVID-19 were obtained from 21 United States health systems from February 2020 through September 2021. In-hospital mortality and ICU admission were predicted from current and past cancer diagnoses. Moderation by patient characteristics, vaccination status, cancer type, and year of the pandemic was examined. RESULTS: 6.8% of the patients had current (n = 7,141) and 6.5% had past (n = 6,749) cancer diagnoses. Current cancer predicted both severe outcomes but past cancer did not; adjusted odds ratios (aOR) for mortality were 1.58 [95% confidence interval (CI), 1.46-1.70] and 1.04 (95% CI, 0.96-1.13), respectively. Mortality rates decreased over the pandemic but the incremental risk of current cancer persisted, with the increment being larger among younger vs. older patients. Prior COVID-19 vaccination reduced mortality generally and among those with current cancer (aOR, 0.69; 95% CI, 0.53-0.90). CONCLUSIONS: Current cancer, especially among younger patients, posed a substantially increased risk for death and ICU admission among patients with COVID-19; prior COVID-19 vaccination mitigated the risk associated with current cancer. Past history of cancer was not associated with higher risks for severe COVID-19 outcomes for most cancer types. IMPACT: This study clarifies the characteristics that modify the risk associated with cancer on severe COVID-19 outcomes across the first 20 months of the COVID-19 pandemic. See related commentary by Egan et al., p. 3.

Evaluating the Immediate Impact of Graphic Messages for Vaping Prevention among Black and Latino Adolescents: A Randomized Controlled Trial.

The purpose of this pilot study was to assess the immediate impact of vaping prevention graphic messages on the susceptibility to future vaping among Black and Latino adolescents (ages 12 to 17). Graphic messages (available in English and Spanish) were developed using participatory research procedures with Black and Latino adolescents. Recruitment was conducted by a team of diverse, bilingual (English and Spanish), trained recruiters. Participants (n = 362) were randomized in a 1:1:1:1 schema to receive one of four graphic messages (health rewards, financial rewards, autonomy, and social norms). Overall, all graphic messages but one showed a slight decrease in the number of participants susceptible to future vaping, though none of these differences was statistically significant. The graphic message on health rewards decreased the number of participants susceptible to future vaping the most (55.7% vs. 50%, at pre- vs. post-viewing, p = 0.125), followed by the graphic messages on social norms and autonomy (55.1% vs. 52.8%, p = 0.687; 55.4% vs. 52.2%, p = 0.435; respectively). The graphic message on financial rewards increased the number of participants susceptible to future vaping slightly (52.7% vs. 53.8%, p = 1.00). Future research is needed to evaluate susceptibility to future vaping before and after exposure to different and/or repeated vaping prevention graphic messages.

Real-time feedback of air quality in children's bedrooms reduces exposure to secondhand smoke.

INTRODUCTION: Secondhand smoke (SHS) exposure creates health risks for non-smokers and is especially detrimental to children. This study evaluated whether immediate feedback in response to poor indoor air quality in children's bedrooms can reduce the potential for SHS exposure, as measured by adherence to a World Health Organization (WHO) indoor air standard. METHODS: Homes that contained children and an adult who regularly smoked inside (n=298) had an air particle monitor installed in the child's bedroom. These devices measured the concentration of particulate matter (PM2.5) for approximately three months and, for half of the participants, immediately provided aversive feedback in response to elevated PM2.5. Hierarchical linear models were fit to the data to assess whether the intervention increased the probability that: 1) a given day was below the WHO guideline for daily exposure, and 2) a household established and maintained a smoke-free home (SFH), operationalized as achieving 30 consecutive days below the WHO guideline. The intervention's impact was calculated as group-by-time effects. RESULTS: The likelihood that a child's bedroom met the WHO indoor air quality standard on a given day increased such that the baseline versus post-baseline odds ratio (OR) of maintaining indoor PM2.5 levels below the WHO guideline was 2.38 times larger for participants who received the intervention. Similarly, the baseline versus post-baseline OR associated with achieving an SFH was 3.49 times larger for participants in the intervention group. CONCLUSIONS: The real-time intervention successfully drove clinically meaningful changes in smoking behavior that mitigated indoor PM2.5 levels in children's bedrooms and thereby reduced SHS exposure. These results demonstrate the effectiveness of targeting sensitive microenvironments by giving caregivers actionable information about children's SHS risks. Future extensions should examine additional microenvironments and focus on identifying the potential for SHS exposure before it occurs.

Intervening With Smoking Parents of Inpatients to Reduce Exposure: The INSPIRE Randomized Controlled Trial.

BACKGROUND: Hospitalized children have high rates of tobacco smoke exposure; parents who smoke may be receptive to interventions during their child's hospitalization. OBJECTIVE: We tested the efficacy of a smoking cessation intervention for parents of hospitalized children. METHODS: We conducted a randomized, single-blind clinical trial from 12/14-5/18 at the Children's Hospital Colorado. Hospitalized children who had a parent who smoked tobacco were eligible. INTERVENTION: Intervention participants received motivational interviewing sessions, 2 weeks of nicotine replacement therapy; both groups received referral to the Quitline Consenting parents completed a questionnaire; urine was collected from the child for measurement of cotinine. Our primary outcome was: 1) increase in reporting "no one is allowed to smoke anywhere" in the home (smoke-free home rule). Additional outcomes included: 2) change in child's cotinine from baseline to 1 year, and 3) parental quitting at 1 year. Data were analyzed using Chi-square and t tests for bivariable data, and multivariable logistic and linear regression. RESULTS: Of 1641 eligible families approached, 252 were randomized (15%); 149 families had follow-up data at 12 months (59%). In the adjusted analysis, there was no difference between the groups in smoke free home rules, or child cotinine level; in an intention-to-treat analysis, 15% in the intervention group versus 8% of controls reported quit (p=0.07). CONCLUSIONS: A smoking cessation intervention can be delivered to parents of hospitalized children. While hospitalization provides an opportunity to help parents quit smoking, more efficient and effective engagement strategies are needed to optimize tobacco control success.

Changes in E-Cigarette Perceptions Over Time: A National Youth Tobacco Survey Analysis.

INTRODUCTION: This multiyear, cross-sectional study explores the changes over time in how U.S. middle- and high-school students perceive the harm and addiction risk of E-cigarettes. METHODS: This study analyzed 83,779 participants in the National Youth Tobacco Survey from 2015 to 2019. Associations of survey year with perceived harm and addiction risk of E-cigarettes were assessed using multivariable multinomial logistic regression models, adjusted for sociodemographic characteristics. RESULTS: Smoking decreased over the 5 years (-1.85 percentage points, p=0.07); vaping increased (9.03 percentage points, p<0.01). Perceived harm of both combustible cigarettes and E-cigarettes increased with time. Male, older, and non-White students perceived less harm from smoking or vaping. Perceptions of the addictiveness of E-cigarettes increased over time: 26.31% of students considered E-cigarettes to be more addictive than combustible cigarettes in 2019, compared with 7.26% in 2016. Female and non-White students were more likely to think that E-cigarettes were at least as addictive as combustible cigarettes but also reported less knowledge about them. CONCLUSIONS: The perceptions of both harm and addictiveness of E-cigarettes have increased over time, independent of current use. Perceptions vary on the basis of age, sex, race/ethnicity, and current use. Efforts should be made to further educate adolescents about E-cigarettes and to regulate their sale and advertisement. Efforts to reduce the uptake of combustible cigarettes among adolescents have been successful and should be duplicated for E-cigarettes.

The Influence of Increasing Levels of Provider-Patient Discussion on Quit Behavior: An Instrumental Variable Analysis of a National Survey.

OBJECTIVE: We aimed to examine the influence of increasing levels of discussion (both asked and advised, either asked or advised but not both, and neither asked nor advised) on quit behavior. METHODS: We included 4133 adult current smokers from the 2015 National Health Interview Survey. The primary outcomes were quit intent and quit attempt, and the secondary outcomes were methods used for quitting. We used an instrumental variable analysis, as well as propensity score weighted and multivariable logistic regressions. RESULTS: Compared to no discussion, having both or only one discussion, respectively, increased quit intent (OR = 1.65, 95% CI = 1.63-1.66 and OR = 1.02, 95% CI = 0.99-1.05), quit attempt (OR = 1.76, 95% CI = 1.75-1.77 and OR = 1.60, 95% CI = 1.57-1.63). Among those who attempted to quit (n = 1536), having both or only one discussion increased the use of pharmacologic (OR = 1.99, 95% CI = 1.97-2.02 and OR = 1.56, 95% CI = 1.49-1.63) or behavioral (OR = 2.01, 95% CI = 1.94-2.08 and OR = 2.91, 95% CI = 2.74-3.08) quit methods. CONCLUSIONS: Increasing levels of provider-patient discussion encourages quit behavior, and should be an integral part of reducing the health and economic burden of smoking. Strategies that promote the adherence and compliance of providers to communicate with patients may help increase the success of smoking cessation.

Examining the role of healthcare access in racial/ethnic disparities in receipt of provider-patient discussions about smoking: A latent class analysis.

Using insurance as a single indicator of healthcare access in examining the association between race/ethnicity and healthcare encounter-based interventions for smoking may not be adequate. In this study, we assessed the role of healthcare access using multifactorial measures in accounting for racial/ethnic disparities in the receipt of provider-patient discussions, defined as either being asked about smoking or advised to quit smoking by providers. We identified adult current smokers from the 2015 National Health Interview Survey. We first conducted a latent class analysis (LCA) to identify the underlying patterns of healthcare access measured by 13 indicators of healthcare access and utilization. We then used a propensity score - based weighting approach to examine racial/ethnic disparities in receiving provider-patient discussions about smoking or quitting in stratified groups by the distinct healthcare access clusters. Out of the 4134 adult current smokers who visited a doctor or a healthcare provider during the past 12 months, 3265 (79.90%) participants were classified as having high healthcare access and 869 (20.10%) participants as having low healthcare access. Compared to non-Hispanic whites, Hispanics had significantly lower odds of being asked about smoking (OR 0.46, 95% CI (0.27-0.77)) and being advised to quit (OR 0.57, 95% CI (0.34-0.97)) in the low access group, but neither association was significant in the high access group. In addition to increasing health insurance coverage, reducing other healthcare access barriers for Hispanics will likely facilitate provider-patient discussion and promote tobacco cessation among Hispanic smokers.

Reported Marijuana and Tobacco Smoke Incursions Among Families Living in Multiunit Housing in New York City.

BACKGROUND: While public knowledge on the prevalence and adverse health effects of secondhand tobacco smoke exposure is well established, information on the prevalence of secondhand marijuana smoke (SHMS) exposure is limited. METHODS: A convenience sample of parents of children attending 1 of 4 pediatric practices in the Mount Sinai Health System completed an anonymous questionnaire assessing demographics, housing characteristics, and the child's health status, as well as smoke incursions and household smoking behaviors. RESULTS: About 450 parents completed the survey between 2018 and 2019; those with incomplete data were excluded, and 382 surveys were included in the analysis. Approximately 40% of the children were white; the median age was 15 months (interquartile range: 5-40 months). About 30.9% (n = 118) of participants reported marijuana incursions in their home while with their child, while 33.5% (n = 122) reported tobacco smoke incursions. SHMS exposure differed by race (P = .0043); and by housing types (P < .0001). Participants in New York City Housing Authority (NYCHA) developments were more likely to report smelling SHMS (adjusted odds ratio = 3.45, 95% confidence interval = 1.18, 10.10], P = .02). Those in Section 8 housing were also more likely to report smelling SHMS, but the association was not significant (adjusted odds ratio = 3.29, 95% confidence interval = 0.94, 11.55, P = .06). Approximately two thirds of the participants reported viewing marijuana smoke as being harmful to their child. CONCLUSIONS: About one third of the families enrolled in the study reported smelling SHMS while at home with their child. Reported marijuana smoke exposure was associated with living in NYCHA housing. Policies that limit all smoke in multiunit housing should be supported.

Smoking Cessation Counseling in the Inpatient Unit: A Survey of Pediatric Hospitalists.

OBJECTIVES: To determine practices and beliefs of pediatric hospitalists regarding smoking cessation counseling for caregivers of hospitalized children. METHODS: An electronic survey was distributed to 249 members of the Pediatric Research in Inpatient Settings Network over 6 weeks in 2017 (83 responses [33%]). Questions explored beliefs regarding the impact of tobacco smoke exposure (TSE) and practices in TSE screening, provision of counseling, resources, and pharmacotherapy. Nonparametric tests were used to compare groups on numeric variables, χ2 tests were used to compare groups on nominal variables, and McNemar's test was used to compare dichotomous responses within subjects. RESULTS: All respondents were familiar with the term "secondhand smoke," and >75% were familiar with "thirdhand smoke" (THS). Familiarity with THS was associated with more recent completion of training (P = .04). Former smokers (7%) were less likely to agree that THS has a significant impact on a child's health (P = .04). Hospitalists ask about TSE more often than they provide counseling, resources, or pharmacotherapy to caregivers who want to quit smoking. Hospitalists are more likely to ask about TSE and provide cessation counseling when patients have asthma as opposed to other diseases. Time was identified by 41% of respondents as a barrier for providing counseling and by 26% of respondents as a barrier for providing resources. Most respondents never prescribe pharmacotherapy (72%), nor do they follow-up with caregivers after hospitalization regarding cessation (87%). CONCLUSIONS: Although most respondents ask about TSE, opportunities are missed for counseling and providing support to caregivers who want to quit smoking. Providers should be educated about THS, and systems should be streamlined to facilitate brief counseling sessions.

Tobacco Smoke Exposure Reduction Strategies-Do They Work?

OBJECTIVE: Many children experience tobacco smoke exposure (TSE) and parents may take preventive measures to reduce TSE. The study goal is to assess if these strategies are associated with lower cotinine values, an objective biological measure of TSE. METHODS: Families admitted to Children's Hospital Colorado from 2014 to 2018 who screened positive for TSE were invited to participate in a tobacco smoking cessation/reduction program. Caregivers were consented and asked about demographics, beliefs around smoking, and strategies to reduce TSE. Child urine samples were collected, tested for cotinine levels, and analyzed using geometric means. Bivariable comparisons and multivariable linear regression were completed using SAS v9.4 (SAS Institute, Cary, NC). RESULTS: Two hundred thirteen children (81.4%) are included in this analysis. The median ages of children and parents were 4 and 32 years respectively. Fifty-seven percent of children were male, 36% were Hispanic, and 55% were white. Fifty-six percent of parents had at least some college education and 69% had an annual income less than $50K. The median daily cigarettes smoked per day were 10. Eighty-eight percent reported using at least 1 type of protective measure to prevent TSE and 90% believed they protect other household members from TSE. None of the strategies had a significant relationship with lower cotinine levels on bivariable or multivariable analyses. CONCLUSIONS: Parental strategies to decrease TSE did not result in lower cotinine levels. Many measures are not evidence-based and do not protect children. Parent's clothing and homes may create a reservoir for nicotine. Education should focus on exposure elimination and cessation rather than protective measures.

Secondhand marijuana exposure in a convenience sample of young children in New York City.

BACKGROUND: Biomarkers of exposure to marijuana smoke can be detected in the urine of children with exposure to secondhand marijuana smoke, but the prevalence is unclear. METHODS: We studied children between the ages of 0 to 3 years who were coming in for well-child visits or hospitalized on the inpatient general pediatric unit between 2017 and 2018 at Kravis Children's Hospital at Mount Sinai. Parents completed an anonymous survey, and urine samples were analyzed for cotinine and 11-nor-9-carboxy-Δ9-tetrahydrocannabinol (COOH-THC), a metabolite of Δ9-tetrahydrocannabinol. RESULTS: Fifty-three children had urine samples available for analysis. COOH-THC was detectable in 20.8% of the samples analyzed and urinary cotinine was detectable in 90.2%. High levels of tobacco exposure (defined as cotinine ≥2.0 ng/ml) were significantly associated with COOH-THC detection (p < 0.01). We found that 34.8% of children who lived in attached housing where smoking was allowed within the property had detectable COOH-THC compared to 13.0% of children who lived in housing where smoking was not allowed at all. CONCLUSIONS: This study adds to the growing evidence that children are being exposed to marijuana smoke, even in places where recreational marijuana use is illegal. It is critical that more research be done on the impact of marijuana smoke exposure on children's health and development. IMPACT: We found that 20.8% of the 53 children recruited from Mount Sinai Hospital had detectable marijuana metabolites in their urine. Children with household tobacco smoke exposure and children who lived in attached housing where smoking was allowed on the premises were more likely to have detectable marijuana smoke metabolites. This study adds to the growing evidence that children are being exposed to marijuana smoke, even in places where marijuana remains illegal by state law. As states consider marijuana legalization, it is critical that the potential adverse health effects from marijuana exposure in children be taken into account.

Smoking Behaviors Among Tobacco-Using Parents of Hospitalized Children and Association With Child Cotinine Level.

OBJECTIVES: Understanding patterns of parental tobacco use and their association with child exposure can help us target interventions more appropriately. We aimed to examine the association between parental smoking practices and cotinine levels of hospitalized children. METHODS: This is a secondary analysis of data collected from parents of hospitalized children, recruited for a cessation intervention randomized controlled trial. Smoking parents were identified by using a medical record screening question. Parent-reported demographics and smoking habits were compared to child urine cotinine by using geometric means and log-transformed cotinine levels in multivariable linear regression analyses. RESULTS: A total of 213 patients had complete baseline parent-interview and urine cotinine data. The median age was 4 (interquartile range: 1-9); 57% were boys; 56% were white, 12% were Black, and 23% were multiracial; 36% identified as Hispanic. Most families (54%) had 1 smoker in the home; 36% had 2, and 9% had ≥3. Many (77%) reported having a ban on smoking in the home, and 86% reported smoking only outside. The geometric mean cotinine level of the cohort was 0.98 ng/mL. Higher cotinine levels were associated with more smokers in the home (ratio of 2.99) and smoking inside the house (ratio of 4.11). CONCLUSIONS: Having more smokers in the home and parents who smoke inside are associated with increased smoke exposure; however, even children whose families who smoke only outside the home have significant levels of cotinine, a marker for toxin exposure.

Secondhand smoke exposure and higher blood pressure in children and adolescents participating in NHANES.

We assessed the relationship between acute and intermittent secondhand tobacco smoke (SHS) exposure with child and adolescent blood pressure (BP). We analyzed cross-sectional data from 3579 children and adolescents aged 8-17 years participating in the National Health and Nutrition Examination Survey (NHANES) collected between 2007 and 2012, with SHS exposure assessed via serum cotinine (a biomarker for acute exposures) and urine NNAL (4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol, a biomarker for intermittent exposures). BP percentiles and z-scores were calculated according to the 2017 guidelines established by the American Academy of Pediatrics. We used weighted linear regression accounting for the complex sampling weights from NHANES and adjusting for socio-demographic and clinical characteristics. Overall, 56% of the children were non-Hispanic white with a mean age of 12.6 years. There was approximately equal representation of boys and girls. Approximately 15.9% of participants lived in homes where smoking was present. In adjusted models, an interquartile range (IQR) increase in urinary NNAL was associated with 0.099 (95% CI: 0.033, 0.16) higher diastolic blood pressure (DBP) z-score, and with a 0.094 (95% CI: 0.011, 0.18) higher systolic blood pressure (SBP) z-score. The odds of being in the hypertensive range was 1.966 (95% CI: 1.31, 2.951) times greater among children with high NNAL exposures compared to those with undetectable NNAL. For serum cotinine, an IQR increase was associated with 0.097 (95% CI: 0.020, 0.17) higher DBP z-scores, but was not significantly associated with SBP z-scores. The associations of cotinine and NNAL with BP also differed by sex. Our findings provide the first characterization of the relationship between a major tobacco-specific metabolite, NNAL, and BP z-scores in a nationally representative population of US children.

Secondhand Smoke Exposure and Depressive Symptoms in Children: A Longitudinal Study.

INTRODUCTION: We investigated whether secondhand smoke (SHS) exposure is associated with depressive symptoms in a population-based sample of children. METHODS: Never-smoking students from 29 French-language elementary schools in Greater Montréal, Canada, were followed from 5th to 11th grade (2005-2011) in five waves: 1 (5th grade), 2 (spring 6th grade), 3 (7th grade), 4 (9th grade), and 5 (11th grade). Associations between depressive symptoms and SHS exposure at home and in cars were examined in cross-sectional and longitudinal gamma generalized regression models adjusted for sex, maternal education, and neighborhood socioeconomic status. RESULTS: The sample comprised 1553 baseline never-smokers (mean [SD] age = 10.7 [0.5] years; 44% male; 89% French-speaking). SHS exposure at home and in cars was associated with higher depressive symptom scores in cross-sectional analyses pooled across grades and adjusted for demographics (B [95% confidence interval (CI)] = 0.041 [0.017 to 0.068] for home exposure; 0.057 [0.030 to 0.084] for car exposure). In longitudinal analyses from fifth to sixth grade, B (95% CI), adjusted for demographics and baseline depressive symptoms, was 0.042 (0.003 to 0.080) for home exposure and 0.061 (0.019 to 0.103) for car exposure. From sixth to seventh grade, B (95% CI) was 0.057 (0.003 to 0.110) for home exposure and 0.074 (0.015 to 0.133) for car exposure. SHS exposure at any age did not predict depressive symptoms 2 years later. CONCLUSIONS: SHS exposure is associated with depressive symptoms in young persons, both concurrently and 1 year later. This finding adds to the evidence base supporting that children should be protected from SHS exposure. IMPLICATIONS: SHS exposure has deleterious effects on physical health and results of this study raise concerns that such exposure might also affect the mental health of young persons. Clearly, protecting children from SHS in all locations is a critical public health priority. Although research is needed to determine if the association between SHS exposure and depressive symptoms is causal, continued implementation of smoking bans and educational efforts to discourage smoking in vehicles when children are present are warranted.

A Public Health Crisis: Electronic Cigarettes, Vape, and JUUL.

Electronic cigarettes (e-cigarettes) and vape devices have rapidly become the most common tobacco products used by youth, driven in large part by marketing and advertising by e-cigarette companies. There is substantial evidence that adolescent e-cigarette use leads to use of combustible tobacco products. E-cigarette companies commonly advertise that e-cigarettes contain nicotine, flavoring chemicals, and humectants (propylene glycol and/or vegetable glycerin), but toxicants, ultrafine particles, and carcinogens have also been found in e-cigarette solutions and emissions, many of which are known to cause adverse health effects. Most major e-cigarette brands are owned by big tobacco companies that use similar marketing and advertising strategies to attract youth users as they did with traditional tobacco products. In this review, we provide an overview of e-cigarettes and vape devices with an emphasis on the impact for the pediatric population. We describe the vast array of e-cigarette devices and solutions, concern for nicotine addiction, and the scientific background on the known health harms. There are accompanying visual depictions to assist in identifying these products, including newer e-cigarette products and JUUL. Because current federal regulations are insufficient to protect youth from e-cigarette use, exposure, and nicotine addiction, there are recommendations for pediatricians and pediatric health care providers to counsel and advocate for a tobacco-free lifestyle for patients and families.

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

OBJECTIVE: 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). METHODS: 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. RESULTS: 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]). CONCLUSIONS: 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.