Public Policy to Protect Children From Tobacco, Nicotine, and Tobacco Smoke

Disparities in Marijuana and Tobacco Smoke Incursions Among New York City Families During Early Months of the COVID-19 Pandemic

OBJECTIVES

Once the COVID-19 pandemic arrived in New York City (NYC), stay-at-home orders led to more time spent indoors, potentially increasing exposure to secondhand marijuana and tobacco smoke via incursions from common areas or neighbors. The objective of this study was to characterize housing-based disparities in marijuana and tobacco incursions in NYC housing during the pandemic.

DESIGN

We surveyed a random sample of families from May to July 2020 and collected sociodemographic data, housing characteristics, and the presence, frequency, and pandemic-related change in incursions.

SETTING

Five pediatric practices affiliated with a large NYC health care system.

PARTICIPANTS

In total, 230 caregivers of children attending the practices.

MAIN OUTCOME MEASURES

Prevalence and change in tobacco and marijuana smoke incursions.

RESULTS

Tobacco and marijuana smoke incursions were reported by 22.9% and 30.7%, respectively. Twenty-two percent of families received financial housing support (public housing, Section-8). Compared with families in private housing, families with financial housing support had 3.8 times the odds of tobacco incursions (95% CI, 1.4-10.1) and 3.7 times the odds of worsening incursions during pandemic (95% CI, 1.1-12.5). Families with financially supported housing had 6.9 times the odds of marijuana incursions (95% CI, 2.4-19.5) and 5 times the odds of worsening incursions during pandemic (95% CI, 1.9-12.8). Children in financially supported housing spent more time inside the home during pandemic (median 24 hours vs 21.6 hours, P = .02) and were more likely to have asthma (37% vs 12.9%, P = .001) than children in private housing.

CONCLUSIONS

Incursions were higher among families with financially supported housing. Better enforcement of existing regulations (eg, Smoke-Free Public Housing Rule) and implementation of additional policies to limit secondhand tobacco and marijuana exposure in children are needed. Such actions should prioritize equitable access to cessation and mental health services and consider structural systems leading to poverty and health disparities.

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.

CIGARETTE TAXES AND TEEN MARIJUANA USE

The spillover effect of cigarette taxes on youth marijuana use has been the subject of intense public debate. Opponents of cigarette taxes warn that tax hikes will cause youths to substitute toward marijuana. On the other hand, public health experts often claim that because tobacco is a "gateway" drug, higher cigarette taxes will deter youth marijuana use. Using data from the National and State Youth Risk Behavior Surveys (YRBS) for the period 1991-2017, we explore the relationship between state excise taxes on cigarettes and teen marijuana use. In general, our results fail to support either of the above hypotheses. Rather, we find little evidence to suggest that teen marijuana use is sensitive to changes in the state cigarette tax. This null result holds for the sample period where cigarette taxes are observed to have the largest effect on teen cigarette use and across a number of demographic groups in the data. Finally, we find preliminary evidence that the recent adoption of state e-cigarette taxes is associated with a reduction in youth marijuana use.

Adolescent Brain Development and Progressive Legal Responsibility in the Latin American Context

In this article, we analyze the contributions of neuroscience to the development of the adolescent brain and shed additional light on the minimum age of criminal responsibility in the context of Latin America. In neurobiology, maturity is perceived to be complex because the brain's temporal development process is not uniform across all its regions. This has important consequences for adolescents' behavior; in their search for the acceptance of their peers, they are more vulnerable to pressure and more sensitive to stress than adults. Their affectivity is more unstable, and they show signs of low tolerance to frustration and important emotional reactivity, with a decrease in the capacity to self-regulate. Consequently, risky behavior presents itself more frequently during adolescence, and behaviors that transgress norms and social conventions typically peak between the ages of 17 and 19 years. However, only a small percentage of young offenders escalate their behavior to committing crimes during adulthood. In comparative law, there are considerable differences in Latin American countries' legal dispositions regarding the minimum age of criminal responsibility; Brazil, Costa Rica, and Ecuador regard the age of criminal responsibility to be 12 years, while Argentina accepts this to be 16 years. From a legal viewpoint, however, the debate about the minimum age of criminal responsibility is connected to other circumstances that, because they are still at a developmental stage, are attributed to adolescents' rights in their decision-making and understanding of autonomy (e.g., the minimum ages for voting, alcohol consumption, and medical consent). We argue that research on the development of the adolescent brain does not provide definitive answers about the exact age required for different juridical purposes. Nonetheless, the current state of knowledge does allow for reflection on the development and maturation of adolescents and the implications for considering them criminally responsible. It also validates demands for a system that provides adolescents with greater protection and that favors their healthy integral development. In any case, although a specific minimum age is not evident, this study is disposed not to recommend lowering the age of criminal responsibility, but rather increasing it.

Tobacco Smoke Exposure, Respiratory Health, and Health-care Utilization Among US Adolescents

BACKGROUND

Tobacco smoke exposure adversely affects respiratory health. However, the effects of exposure on adolescents without asthma are not well known.

RESEARCH QUESTION

To what degree are biochemically measured and self-reported tobacco smoke exposure associated with pulmonary function and health-care utilization among US nonsmoking adolescents?

STUDY DESIGN AND METHODS

We analyzed 2007-2012 National Health and Nutrition Examination Survey data (N = 2,482). Tobacco smoke exposure was assessed with serum cotinine and self-reported home exposure. We built multiple regression, logistic regression, and Poisson regression models, depending on the outcome.

RESULTS

Approximately 3% of adolescents had high cotinine (3.00-15.00 ng/mL), 35.7% had low cotinine (0.05-2.99 ng/mL), and 10.9% had home exposure. Adolescents with high cotinine had significantly lower FEV₁% (mean, 97.4; SE, 2.09; β, -8.99; 95% CI, -15.64 to -2.33) and FVC% (mean, 97.4; SE, 2.06; β, -8.42; 95% CI, -14.74 to -2.11) than adolescents with no/minimal cotinine (< 0.05 ng/mL; mean, 101.0; SE, 0.45; mean, 99.9; SE, 0.46, respectively). Adolescents with high cotinine were less likely to have a past year health-care visit (adjusted OR [aOR], 0.57; 95% CI, 0.38 to 0.88), but more likely to have an overnight hospital stay (aOR, 4.82; 95% CI, 2.58 to 9.00), and at increased risk of having a higher number of overnight hospital stays (adjusted relative risk [aRR], 4.04; 95% CI, 2.27 to 7.21). Adolescents with low cotinine were less likely to have a health-care visit (aOR, 0.84; 95% CI, 0.71 to 0.99), but more likely to have an overnight hospital stay (aOR, 4.82; 95%CI, 2.58 to 9.00) than adolescents with no/minimal cotinine. Adolescents with low cotinine were at increased risk of having a higher number of health-care visits (aRR, 1.06; 95% CI, 1.02 to 1.11) and overnight hospital stays (aRR, 2.02; 95% CI, 1.46 to 2.81). Adolescents with home exposure had lower FEV₁% (mean, 99.9; SE, 1.17; β, -5.11; 95% CI, -9.26 to -0.96) and FVC% (mean, 100.0; SE, 1.16; β, -5.36; 95% CI, -9.30 to -1.42) than adolescents with no home exposure (mean, 101.0; SE, 0.38; mean, 100.2; SE, 0.39, respectively). Adolescents with home exposure were more likely to have an overnight hospital stay (aOR, 5.65; 95% CI, 3.66 to 8.73) and at increased risk of having a higher number of overnight hospital stays (aRR, 4.08; 95% CI, 2.76 to 6.03).

INTERPRETATION

Detectable serum cotinine levels and self-reported home exposure were distinctively associated with decreased pulmonary function and increased health-care utilization.

E-cigarettes and youth: Patterns of use, potential harms, and recommendations

Electronic cigarette (e-cigarette) use has risen to unprecedented levels among youth in the United States. In this review, we discuss the patterns of use underlying the current youth vaping epidemic, potential harms from e-cigarette use, and the regulatory, public health, and clinical responses to e-cigarette use among youth. Between 2017 and 2018, past 30-day use of nicotine e-cigarettes among high school seniors nearly doubled, from 11% to 21%, representing the largest recorded increase for any adolescent substance use in over four decades. There are concerns that e-cigarette use could renormalize smoking behaviors, lead to the uptake of conventional cigarette use by youth, and have adverse effects in the developing brain and lungs of adolescents. Prevention and harm reduction efforts thus far have focused on policies to prevent youth access to vaping products and on public health strategies to expose the risks of youth vaping. However, it remains unclear if ongoing initiatives are sufficient to curb e-cigarette use by youth. Most health professionals agree that youth exposure to e-cigarettes needs to be addressed but feel uninformed, rely on unconventional information sources such as the media and their patients, and report that routine screening procedures concerning e-cigarettes are lacking. A coordinated effort from policy makers, public health agencies, parents, educators, health practitioners, and researchers is essential to mitigate harms from e-cigarette use in this vulnerable population.

The Usage and Associated Factors of Alternative Tobacco Products among School-going Youth in Central Appalachia

OBJECTIVE

To examine alternative tobacco product (ATP) use and associated factors among middle school students in Appalachian Tennessee.

METHOD

Data (2015-2016; N=573) from school-based tobacco surveys in 11 middle schools in Appalachian Tennessee were analyzed. Multiple logistic regression model described factors associated with ATP use.

RESULTS

More than one-tenth (13.2%) of participants have ever used ATPs. Approximately 9%, 7%, 6%, and 2% of participants have ever used e-cigarettes, cigarettes, smokeless tobacco, and little cigars or cigarillos, respectively. The following were significantly associated with ever use of ATPs: believing tobacco users have more friends, owning tobacco-branded item(s), living with a tobacco user, having ever smoked cigarettes, and living in homes where smoking is allowed.

CONCLUSION

More than one in 10 of participants have ever used at least one ATP, and association with desirable objects and situations may promote ATP use. Interventions should seek to reduce these positive images and make all tobacco products unappealing.

Electronic Vapor Product Usage and Substance Use Risk Behaviors Among U.S. High School Students

Objectives: The initiation of substance use at a young age increases one's likelihood of developing substance use disorders (SUDs). Understanding trends in youth substance-related risk behaviors is important in identification and prevention of SUDs. The objective of this study was to assess, in a nationally representative sample of U.S. high school students, how current electronic vapor product (EVP), cigarette, and dual-product usage as well as EVP usage frequency are related to other substance use behaviors. Methods: Respondents (N = 12,667) of the 2017 National Youth Risk Behavior Survey were categorized by previous 30-day EVP and cigarette usage into one of four groups: nonuse, cigarette only, EVP only, or dual use. Separately, respondents were categorized by 30-day EVP usage frequency: 0, 1-9, 10-29, or 30 days. Thirteen substance use behaviors were selected as dependent variables. Adjusted prevalence ratios (aPRs) were calculated using multivariable modified Poisson regression to determine associations between outcome behaviors and both current EVP/cigarette usage and EVP usage frequency. Linear contrasts were conducted to compare aPRs across categories. Results: Cigarette, EVP, and dual users were more likely to engage in 12 of 13 substance use behaviors compared to nonusers (p < 0.001). Dual-users were more likely than EVP-only users to engage in 12 of 13 behaviors. Past 30-day EVP users at any frequency were also more likely to engage in nearly all risk behaviors examined. Occasional EVP users were similarly likely as frequent and daily users to engage in 11 of 13 behaviors. Conclusions: Adolescent EVP use, with or without concurrent cigarette smoking, is associated with a higher likelihood of engagement in several substance use behaviors. Prevalence of risk behaviors is generally greater for dual users than EVP-only users, but prevalence proportions do not significantly differ among occasional, frequent, or daily EVP users for most behaviors.

Secondhand Smoke Exposure During Pregnancy and Mothers' Subsequent Breastfeeding Outcomes: A Systematic Review and Meta-Analysis

Secondhand smoke exposure of non-smoking women during pregnancy is associated with a higher risk of adverse birth outcomes. However, the available evidence regarding the association between expectant mothers’ secondhand smoke exposure and breastfeeding outcomes remains limited. This systematic review aimed to examine associations between secondhand smoke exposure of nonsmoking women during pregnancy with the initiation, prevalence, and duration or breastfeeding compared to women who were breastfeeding and had not been exposed to secondhand smoke. Women who smoked during pregnancy were excluded. We included case-control, cross-sectional, and cohort studies with a comparison control group. Medline CINAHL, and EMBASE were searched in January 2017. After screening 2777 records we included eight prospective cohort studies. The risk of bias assessment tool for non-randomized studies indicated a high risk of outcome assessment blinding. Meta-analysis of two studies established that the odds of discontinuation of any brestfeeding before six months were significantly increased in the secondhand smoke exposed women (pooled odds = 1.07 [95%CI = 1.01, 1.14], two studies, 1382 women). Therefore, secondhand smoke might be associated with discontinuing any breastfeeding before six months. More research is necessary to understand the association between secondhand smoke and the initiation, prevalence and duration of breastfeeding.

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

OBJECTIVE

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.

Electronic Cigarettes and Youth in the United States: A Call to Action (at the Local, National and Global Levels)

E-cigarettes have emerged and soared in popularity in the past ten years, making them the most common tobacco product used among youth in the United States (US). In this review, we discuss what the Surgeon General has called a public health “epidemic”—the precipitous increase in youth use of e-cigarettes and the health consequences of this behavior. Further, we review tobacco control policy efforts (e.g., Tobacco 21, banning flavors, advertising restrictions, and clean indoor air laws)—efforts proven to be critical in reducing cigarette smoking and smoking-related disease and death among US children and adults—including their potential and challenges regarding managing and mitigating the emergence of e-cigarettes. Finally, we close with a discussion of the efforts of transnational tobacco companies to rebrand themselves using e-cigarettes and other new products.

Tobacco Use as a Health Disparity: What Can Pediatric Clinicians Do?

Tobacco use is a global health crisis, and has a tremendous and negative impact on health and wellbeing. Tobacco use disproportionately affects members of vulnerable populations, and by acting on multiple socioecological levels, serves to perpetuate and reinforce cycles of poverty. Members of the pediatric medical community can play a key role in interrupting cycles of tobacco use. Providers can serve as powerful allies to vulnerable communities by treating tobacco use in caregivers, counseling youth against using tobacco products, protecting children from the impact of secondhand smoke exposure, and advocating for economic, social, and health policies to disrupt intergenerational smoking.

Intention to Try Tobacco Among Middle School Students in a Predominantly Rural Environment of Central Appalachia

BACKGROUND

Disparities in tobacco use exist across regions in the United States. The Central Appalachian region carries some of the very high rates of tobacco use prevalence but research on tobacco use initiation is sparse.

OBJECTIVE

To investigate the intention to try tobacco and its associated factors among nonsmoking youth.

METHOD

Data were obtained from school-based tobacco surveys (n = 539) conducted in 11 middle schools (6th-8th grades; aged 10-15 years) in Northeast Tennessee in 2015-2016. Nonsmoking participants without firm commitment to abstain from trying tobacco in the next year were considered to have an intention to try tobacco. The Full Information Maximum Likelihood estimation (FIML) method in Mplus was employed to conduct a multivariable logistic regression analysis to delineate correlates of intention to try tobacco.

RESULTS

Overall, 20.0% of participants had intention to try tobacco. Among participants with intention to try tobacco, 53.7% owned tobacco-branded item(s), 86.1% believed that tobacco users have more friends, and 88.9% lived with tobacco users. In the adjusted logistic model, ever use of tobacco products, home smoking rules, owning tobacco-branded item(s), living with tobacco users, believing that tobacco users have more friends, and perception of easy access to tobacco products were significantly associated with intention to try tobacco (p < .02).

CONCLUSION

This study suggests that individual, interpersonal, and community level factors influence intention to try tobacco in this environment where tobacco pre-emption laws impede development of local tobacco control policies and regulations. Thus, efforts should focus on tobacco use initiation preventive programs, including school-based tobacco control programs.

Adolescent Tobacco Smoke Exposure, Respiratory Symptoms, and Emergency Department Use

OBJECTIVES

Our objective was to examine the relationship between distinct tobacco smoke exposure (TSE) measures and TSE-related symptoms and emergency department (ED) and/or urgent care (UC) use among nonsmoking adolescents without asthma diagnoses.

METHODS

We performed a secondary analysis of 7389 adolescents who completed the Population Assessment of Tobacco and Health Study wave 2. Logistic regression and Poisson regression models were built.

RESULTS

Adolescents with TSE were at increased risk of reporting: shortness of breath, finding it hard to exercise, wheezing during or after exercise, and dry cough at night. Adolescents who lived with a smoker and had home TSE were at increased odds of reporting wheezing or whistling in the chest, and only adolescents with home TSE were at increased risk of reporting wheezing that disturbed sleep. Adolescents with TSE were less likely to report very good or excellent overall health and physical health but were more likely to report they sometimes, often, or very often missed school because of illness. Participants who lived with a smoker and had TSE ≥1 hour were more likely to have had an ED and/or UC visit. Participants with any TSE were at increased risk of having a higher number of ED and/or UC visits.

CONCLUSIONS

Different TSE measures uniquely increased the risk of TSE-related symptoms, but any TSE increased the risk of having a higher number of ED and/or UC visits. The providers at these high-volume settings should offer interventions to adolescents who are exposed to tobacco smoke and their families to decrease these symptoms and related morbidity.

Dual- and Polytobacco/Nicotine Product Use Trends in a National Sample of High School Students

PURPOSE

The study purpose was to examine changes in patterns of ever and current dual- and polyproduct use over time and to examine demographic and modifiable risk factors including tobacco smoke exposure (TSE).

DESIGN

A secondary analysis of the 2013 to 2015 National Youth Tobacco Survey data.

SETTING

Nationwide high schools were selected.

SUBJECTS

A total of 31 022 high school students.

MEASURES

Ever and current (past 30 days) tobacco/nicotine product use, home tobacco/nicotine product use, TSE and e-cigarette vapor exposure, and demographic characteristics were measured.

ANALYSIS

Multivariable logistic regression and multinomial logistic regression models.

RESULTS

Of the students, 9.4% were ever dual users and 18.6% were ever poly users. Rates of ever/current use of e-cigarettes and hookah increased from 2013 to 2015 (all Ps < .001). In 2015, participants were 4.8 times (95% confidence interval [CI], 4.5-5.2) and 4.0 times (95% CI, 3.5-4.4) more likely to report ever/current e-cigarette use and 1.61 times (95% CI, 1.5-1.7) and 1.48 times (95% CI, 1.3-1.7) more likely to report ever/current hookah use. Participants reporting TSE were 15.4 times (95% CI, 11.5-21.0) more likely to report current poly use, and those with e-cigarette exposure were 10.4 times (95% CI, 7.8-13.8) more likely to report current poly use.

CONCLUSION

From 2013 to 2015, rates of ever and current use of e-cigarettes and hookah increased. Tobacco smoke and e-cigarette exposure were associated with higher rates of dual and poly use. Prevention efforts targeting these products are needed.

Early Life Exposures and Adult Cancer Risk

Very little is known about the influence of early life exposures on adult cancer risk. The purpose of this narrative review was to summarize the epidemiologic evidence relating early life tobacco use, obesity, diet, and physical activity to adult cancer risk; describe relevant theoretical frameworks and methodological strategies for studying early life exposures; and discuss policies and research initiatives focused on early life. Our findings suggest that in utero exposures may indirectly influence cancer risk by modifying biological pathways associated with carcinogenesis; however, more research is needed to firmly establish these associations. Initiation of exposures during childhood and adolescence may impact cancer risk by increasing duration and lifetime exposure to carcinogens and/or by acting during critical developmental periods. To expand the evidence base, we encourage the use of life course frameworks, causal inference methods such as Mendelian randomization, and statistical approaches such as group-based trajectory modeling in future studies. Further, we emphasize the need for objective exposure biomarkers and valid surrogate endpoints to reduce misclassification. With the exception of tobacco use, there is insufficient evidence to support the development of new cancer prevention policies; however, we highlight existing policies that may reduce the burden of these modifiable risk factors in early life.

Tobacco Use and Smoke Exposure in Children: New Trends, Harm, and Strategies to Improve Health Outcomes

PURPOSE OF REVIEW

Every day in the USA, approximately 4000 adolescents begin smoking and the adolescent brain is particularly susceptible to nicotine addiction. We present current pediatric trends on tobacco use and exposures, various new products used by adolescents, the adverse biological and behavioral effects of tobacco use and exposures, and tobacco control strategies to eliminate tobacco-related illnesses and deaths in the pediatric population.

RECENT FINDINGS

Twelve-20% of women continue to smoke during pregnancy. New research reveals cognitive differences and behavior-control disorders are seen in elementary school children from prenatal and postnatal exposures. Traditional cigarette smoking has decreased in adolescents; novel and appealing tobacco products have captured their attention, particularly electronic cigarettes, and rates double and often triple from middle to high school. Children with asthma and those living in multi-housing units have higher rates of secondhand smoke exposure than non-asthmatics and children living in single-home dwellings. There is no "safe or risk-free" level of tobacco use or exposure. Tobacco use and exposure in childhood and adolescence must be decreased using evidenced-based strategies to improve child health.

Electronic Cigarettes: Exposure and Use Among Pediatric Populations

As an emerging inhalational exposure, electronic cigarettes (e-cigarettes) have rapidly gained public awareness with increasing use among adolescents and adults, leading to increased primary use by adolescents and increased secondhand exposure to emissions in infants, children, and adolescents. Although the long-term health risks for primary use and secondhand emission exposure are unknown, limited data from animal studies suggest that there is the potential for long-term lung injury and altered neurocognitive development in children with exposure to nicotine-containing aerosols. In this pediatric-focused review, we discuss the history of e-cigarettes, the demographics of adolescent users, effects on health, and current legislative efforts to protect infants, children, and adolescents from exposure.

The association between environmental tobacco smoke exposure and childhood respiratory disease: a review

INTRODUCTION

Childhood respiratory illness is a major cause of morbidity and mortality particularly in low and middle-income countries. Environmental tobacco smoke (ETS) exposure is a recognised risk factor for both acute and chronic respiratory illness. Areas covered: The aim of this paper was to review the epidemiology of ETS exposure and impact on respiratory health in children. We conducted a search of 3 electronic databases of publications on ETS and childhood respiratory illness from 1990-2015. Key findings were that up to 70% of children are exposed to ETS globally, but under-reporting may mask the true prevalence. Maternal smoking and ETS exposure influence infant lung development and are associated with childhood upper and lower respiratory tract infection, wheezing or asthma. Further, exposure to ETS is associated with more severe respiratory disease. ETS exposure reduces lung function early in life, establishing an increased lifelong risk of poor lung health. Expert commentary: Urgent and effective strategies are needed to decrease ETS exposure in young children to improve child and long-term lung health in adults especially in low and middle income countries where ETS exposure is increasing.

Prevalence of self-reported smoking experimentation in adolescents with asthma or allergic rhinitis

Objective:

To determine the prevalence of smoking experimentation among adolescents with asthma or allergic rhinitis.

Methods:

This was a cross-sectional study involving adolescent students (13-14 years of age) in the city of Belo Horizonte, Brazil. The participants completed the Centers for Disease Control and Prevention and International Study of Asthma and Allergies in Childhood questionnaires, both of which have been validated for use in Brazil. We calculated the prevalence of smoking experimentation in the sample as a whole, among the students with asthma symptoms, and among the students with allergic rhinitis symptoms, as well as in subgroups according to gender and age at smoking experimentation.

Results:

The sample comprised 3,325 adolescent students. No statistically significant differences were found regarding gender or age. In the sample as a whole, the prevalence of smoking experimentation was 9.6%. The mean age for smoking experimentation for the first time was 11.1 years of age (range, 5-14 years). Among the adolescents with asthma symptoms and among those with allergic rhinitis symptoms, the prevalence of self-reported smoking experimentation was 13.5% and 10.6%, respectively.

Conclusions:

The proportion of adolescents with symptoms of asthma or allergic rhinitis who reported smoking experimentation is a cause for concern, because there is strong evidence that active smoking is a risk factor for the occurrence and increased severity of allergic diseases.

Beyond experimentation: Five trajectories of cigarette smoking in a longitudinal sample of youth

The first goal of this study was to identify the most appropriate measure of cigarette smoking for identifying unique smoking trajectories among adolescents; the second goal was to describe the resulting trajectories and their characteristics. Using 15 annual waves of smoking data in the National Longitudinal Survey of Youth 1997 (NLSY97), we conducted an exploratory latent class growth analysis to determine the best of four outcome variables for yearly smoking (cigarettes per day on days smoked, days smoked per month, mean cigarettes per day, and total cigarettes per month) among individuals aged 12 to 30 (n = 8,791). Days smoked per month was the best outcome variable for identifying unique longitudinal trajectories of smoking and characteristics of these trajectories that could be used to target different types of smokers for prevention and cessation. Objective statistics were used to identify four trajectories in addition to never smokers (34.1%): experimenters (13.6%), quitters (8.1%), early established smokers (39.0%), and late escalators (5.2%). We identified a quitter and late escalator class not identified in the only other comparable latent class growth analysis. Logistic regressions were used to identify the characteristics of individuals in each trajectory. Compared with never smokers, all trajectories except late escalators were less likely to be black; experimenters were more likely to be out of school and unemployed and drink alcohol in adolescence; quitters were more likely to have a mother with a high school degree/GED or higher (versus none) and to use substances in adolescence and less likely to have ever married as a young adult; early established smokers were more likely to have a mother with a high school diploma or GED, be out of school and unemployed, not live with both parents, have used substances, be depressed, and have peers who smoked in adolescence and to have children as young adults and less likely to be Hispanic and to have ever married as young adults; and late escalators were more likely to be Hispanic, drink alcohol, and break rules in adolescence and less likely to have ever married as young adults. Because of the number of waves of data analyzed, this analysis provided a clearer temporal depiction of smoking behavior and more easily distinguishable smoking trajectories than previous analyses. Tobacco control interventions need to move beyond youth-focused approaches to reach all smokers.