Untargeted Metabolomics to Characterize the Urinary Chemical Landscape of E-Cigarette Users.

The health and safety of using e-cigarette products (vaping) have been challenging to assess and further regulate due to their complexity. Inhaled e-cigarette aerosols contain chemicals with under-recognized toxicological profiles, which could influence endogenous processes once inhaled. We urgently need more understanding on the metabolic effects of e-cigarette exposure and how they compare to combustible cigarettes. To date, the metabolic landscape of inhaled e-cigarette aerosols, including chemicals originated from vaping and perturbed endogenous metabolites in vapers, is poorly characterized. To better understand the metabolic landscape and potential health consequences of vaping, we applied liquid chromatography-mass spectrometry (LC-MS) based nontargeted metabolomics to analyze compounds in the urine of vapers, cigarette smokers, and nonusers. Urine from vapers (n = 34), smokers (n = 38), and nonusers (n = 45) was collected for verified LC-HRMS nontargeted chemical analysis. The altered features (839, 396, and 426 when compared smoker and control, vaper and control, and smoker and vaper, respectively) among exposure groups were deciphered for their structural identities, chemical similarities, and biochemical relationships. Chemicals originating from e-cigarettes and altered endogenous metabolites were characterized. There were similar levels of nicotine biomarkers of exposure among vapers and smokers. Vapers had higher urinary levels of diethyl phthalate and flavoring agents (e.g., delta-decalactone). The metabolic profiles featured clusters of acylcarnitines and fatty acid derivatives. More consistent trends of elevated acylcarnitines and acylglycines in vapers were observed, which may suggest higher lipid peroxidation. Our approach in monitoring shifts of the urinary chemical landscape captured distinctive alterations resulting from vaping. Our results suggest similar nicotine metabolites in vapers and cigarette smokers. Acylcarnitines are biomarkers of inflammatory status and fatty acid oxidation, which were dysregulated in vapers. With higher lipid peroxidation, radical-forming flavoring, and higher level of specific nitrosamine, we observed a trend of elevated cancer-related biomarkers in vapers as well. Together, these data present a comprehensive profiling of urinary biochemicals that were dysregulated due to vaping.

High prevalence of cardiometabolic risk factors amongst young adults in the United Arab Emirates: the UAE Healthy Future Study.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death in the world. In the United Arab Emirates (UAE), it accounts for 40% of mortality. CVD is caused by multiple cardiometabolic risk factors (CRFs) including obesity, dysglycemia, dyslipidemia, hypertension and central obesity. However, there are limited studies focusing on the CVD risk burden among young Emirati adults. This study investigates the burden of CRFs in a sample of young Emiratis, and estimates the distribution in relation to sociodemographic and behavioral determinants. METHODS: Data was used from the baseline data of the UAE Healthy Future Study volunteers. The study participants were aged 18 to 40 years. The study analysis was based on self-reported questionnaires, anthropometric and blood pressure measurements, as well as blood analysis. RESULTS: A total of 5167 participants were included in the analysis; 62% were males and the mean age of the sample was 25.7 years. The age-adjusted prevalence was 26.5% for obesity, 11.7% for dysglycemia, 62.7% for dyslipidemia, 22.4% for hypertension and 22.5% for central obesity. The CRFs were distributed differently when compared within social and behavioral groups. For example, obesity, dyslipidemia and central obesity in men were found higher among smokers than non-smokers (p < 0.05). And among women with lower education, all CRFs were reported significantly higher than those with higher education, except for hypertension. Most CRFs were significantly higher among men and women with positive family history of common non-communicable diseases. CONCLUSIONS: CRFs are highly prevalent in the young Emirati adults of the UAE Healthy Future Study. The difference in CRF distribution among social and behavioral groups can be taken into account to target group-specific prevention measures.

Effects of electronic cigarettes and hookah (waterpipe) use on home air quality.

INTRODUCTION: A major site of secondhand smoke exposure for children and adults is the home. Few studies have evaluated the impact of e-cigarette or hookah use on home air quality, despite evidence finding toxic chemicals in secondhand e-cigarette aerosols and hookah smoke. We assessed the effect of e-cigarette and hookah use on home air quality and compared it with air quality in homes where cigarettes were smoked and where no smoking or e-cigarette use occurred. METHODS: Non-smoking homes and homes where e-cigarettes, hookah or cigarettes were used were recruited in the New York City area (n=57) from 2015 to 2019. Particulate matter with diameter less than 2.5 µm (PM2.5), black carbon and carbon monoxide (CO) were measured during a smoking or vaping session, both in a 'primary' smoking room and in an adjacent 'secondary' room where no smoking or vaping occurred. Log transformed data were compared with postanalysis of variance Tukey simultaneous tests. RESULTS: Use of hookah significantly increased PM2.5 levels compared with non-smoking homes, in both the primary and secondary rooms, while use of e-cigarettes increased PM2.5 levels only in primary rooms. Additionally, in-home use of hookah resulted in greater CO concentrations than the use of cigarettes in primary rooms. CONCLUSIONS: Use of e-cigarettes or hookah increases air pollution in homes. For hookah, increases in PM2.5 penetrated even into rooms adjacent to where smoking occurs. Extending smoke-free rules inside homes to include e-cigarette and hookah products is needed to protect household members and visitors from passive exposure to harmful aerosols and gases.

Passive exposure to e-cigarette emissions is associated with worsened mental health.

BACKGROUND: Cigarette smoking, secondhand cigarette smoke (SHS) exposure, and e-cigarette use ("vaping") are each associated with increased rates of depressive symptoms and other internalizing mental health disorders. The prevalence of vaping has increased greatly, yet the mental health correlates of secondhand exposure to e-cigarette emissions are as yet to be investigated. This study examined the potential adverse mental health outcomes associated with different tobacco exposures (direct and passive), with a particular focus on the mental health correlates of secondhand exposure to e-cigarette emissions. METHODS: The Population Assessment of Tobacco and Health Study data collected from a sample of 16,173 Wave 4 adults were used to test the hypothesis that secondhand e-cigarette emissions exposure is associated with increased odds of internalizing mental health disorders. Individuals were categorized as exclusive cigarette smokers, exclusive e-cigarette users, cigarette and e-cigarette dual users, exclusive noncombustible tobacco users, secondhand smoke exposed non-users, secondhand e-cigarette emissions exposed non-users, and non-users with no current SHS/secondhand e-cigarette aerosol exposure. Adjusted weighted logistic regression analysis was used to investigate the association between exposure type and internalizing problems as assessed by scores on the Global Appraisal of Individual Needs-Short Screener (GAIN-SS), a widely used instrument for assessing mental health problems. RESULTS: Cigarette smokers (AOR = 2.53, 95% CI: 2.19-2.92), e-cigarette users (AOR = 3.14, 2.41-4.09), dual users (AOR = 3.37, 2.85-4.00), noncombustible tobacco users (AOR = 1.48, 1.01-2.17), SHS exposed non-users (AOR = 1.63, 1.37-1.94), and secondhand e-cigarette emissions exposed non-users (AOR = 1.43, 1.03-1.99) were each associated with increased odds of moderate to severe internalizing mental health problems as compared to unexposed non-users. Odds of internalizing problems among SHS and secondhand e-cigarette emissions exposed non-users did not differ (p = 0.46). CONCLUSIONS: This is the first study, to our knowledge, to identify an association between recent secondhand exposure to e-cigarette emissions and mental health problems, and the risk is comparable to that of SHS. Corroboration of this relationship needs further research to explicate directionality and mechanisms underlying this association.

E-cigarette use, opinion about harmfulness and addiction among university students in Bratislava, Slovakia.

OBJECTIVES: The study aimed to investigate the use of electronic cigarettes (EC) among medical students, their knowledge and beliefs (opinion about harmfulness and addiction potential) on ECs, perceptions of the risk, as well as to assess the type of education and cessation training they received during their study at Faculty of Medicine, Comenius University in Bratislava, Slovakia. METHODS: This cross-sectional, anonymous online e-mailed survey was conducted among medical students via the Study Department by sending e-mails containing the survey link. Participants completed the online questionnaire adapted from the American Survey on Tobacco and Alternative Tobacco Products. It included questions about the personal use of EC, perceptions about the harms and their role in disease causation, education and cessation training, and practices related to conventional cigarettes (CC), EC, and alternative tobacco products (ATP). The e-mailed questionnaire filled in 577 medical students (71.9% women) from Comenius University in Bratislava, the average age was 23 ± 2 years. The sample comprised 486 (84.2%) Slovak and 91 (15.8%) foreign students. The data were analysed using the Statistical Package for Social Science (SPSS) version 25. RESULTS: There were 385 (66.7%) non-smokers, 111 (19.3%) ex-smokers and 81 (14%) current smokers in the study sample. EC currently use 13.5% of medical students, with a statistically significant intersexual difference (22.2% males vs. 10.12% females; OR = 2.53, 95% CI: 1.55-4.13), more foreign students than Slovak students (24.2% vs. 11.52%; OR = 2.44, 95% CI: 1.41-4.26), more smokers of conventional cigarettes than non-smokers (46.9% vs. 8.06%; OR = 10.07, 95% CI: 5.85-17.34). EC seems to be less harmful to 59.97% of students, mostly in the age group ≤ 24 (61.76% vs. 51.49%; OR = 1.46, 95% CI: 1.03-2.07), 41.25% of students consider EC to be less addictive, 55.6% think they do not get enough education on EC during their medical study. CONCLUSION: The results overall show the high consumption of tobacco products and the lack of knowledge and awareness among medical students, future health care providers. In health promotion and disease prevention, they should serve as a model for their patients and for the general public as well. Our study emphasizes the need for intervention in this field at medical faculties and for support of further monitoring in Slovakia and other countries and draws attention to the ongoing lack of EC regulation.

Evaluating State-Level Differences in E-cigarette and Cigarette Use Among Adults in the United States Between 2012 and 2014: Findings From the National Adult Tobacco Survey.

Objective: To examine the association between state-level tobacco control measures and current use estimates of both e-cigarettes and cigarettes, while accounting for socio-demographic correlates. Methods: Using the 2012-2013 and 2013-2014 National Adult Tobacco Survey (NATS), we assessed prevalence estimates of US adults' e-cigarette and cigarette current use. Four state groups were created based on the combined state-specific prevalence of both products: low cigarette/e-cigarette (n = 15), high cigarette/e-cigarette (n = 16), high cigarette/low e-cigarette (n = 11), and low cigarette/high e-cigarette) (n = 9). To evaluate the implementation of state-level tobacco control measures, Tobacco Control Index (TCI) was calculated using the State of Tobacco Control annual reports for 2012 and 2013. Multinomial logistic regression models were used to examine differences among the four groups on socio-demographic factors and TCI. Low cigarette/e-cigarette group was used as the referent group. Results: Current use estimates of each product varied substantially by state; current e-cigarette use was highest in Oklahoma (10.3%) and lowest in Delaware (2.7%), and current cigarette use was highest in West Virginia (26.1%), and lowest in Vermont (12.6%). Compared to low cigarette/e-cigarette, all other US-state categories had significantly lower TCI scores (high cigarette/e-cigarette: adjusted Relative Risk Ratio [aRRR] = 0.61; 95% confidence interval [CI]: 0.60-0.61, high cigarette/low e-cigarette: aRRR = 0.74; 95% CI: 0.73-0.74, and low cigarette/high e-cigarette: aRRR = 0.72; 95% CI: 0.71-073). Conclusions: Enforcing existing tobacco control measures likely interacts with e-cigarette use despite being cigarette-focused. Continuing to monitor e-cigarette use is critical to establish baseline use and evaluate future e-cigarette specific federal and state-level tobacco regulatory actions while accounting for the existing tobacco control environment. Implications: This study investigates state-level current use estimates of e-cigarettes and cigarettes among US adults; and their association with four existing tobacco control measures. The overall score of these measures was negatively associated with state-level current use estimates such that states with low current e-cigarette and cigarette use had the highest mean overall score. This study assesses the potential relationship between existing state-level tobacco control measures and e-cigarette use and calls for improving the enforcement of the known-to-work tobacco control measures across all US states, while developing evidence-based regulations and interventions specific to e-cigarettes within the existing US tobacco use environment.

Salivary cotinine concentration and carbon monoxide levels in young adults smoking midwakh in comparison with cigarette smokers.

OBJECTIVES: To estimate and compare the salivary cotinine levels using a semiquantitative method, called NicAlert, between three groups: non-smokers, daily smokers of cigarettes and daily smokers of midwakh, and to compare the carbon monoxide (CO) levels among these groups. MATERIALS AND METHODS: A total of 159 adult male volunteers aged 20 and above were included, with 54 current cigarette smokers, 52 current midwakh smokers and 53 non-smokers. Estimate of breath carbon monoxide and salivary cotinine were collected, as well as sociodemographic characteristics and details of smoking habits and second-hand smoke exposure among participants. Institutional review board approval was obtained and data were analysed using SPSS V.21 with the Kruskal-Wallis test used to obtain differences in the distribution. RESULTS: There was no significant difference in the median breath CO and salivary cotinine levels between cigarette and midwakh smokers. Levels of breath CO were significantly higher in cigarette and midwakh smokers as compared with non-smokers (19.5, 17.5 and 6.0, respectively, p<0.05); the same relationship was observed for cotinine levels among cigarette and midwakh smokers as compared with non-smokers (4.0, 3.0 and 0.0, respectively, p≤0.05). Additionally, the values of both salivary cotinine and breath CO increased with the frequency of tobacco use. CONCLUSION: These are the first data that we are aware of that demonstrate that in terms of at least two key biomarkers of tobacco use, there are comparable levels of exposure between cigarettes and midwakh users, demonstrating a need for intensified attention to the use of midwakh.

American pediatric society's 2017 John Howland award acceptance lecture: a tale of two toxicants: childhood exposure to lead and tobacco.

This article summarizes the presentation of the 2017 Howland Award to Michael Weitzman, MD, at the Annual Pediatric Academic Society Meetings. It summarizes the remarkable advances in understanding the effects and pathways of exposure of the two most common and pernicious of our nation's child environmental exposures, namely lead and tobacco. It also summarizes the profound effect of the translation of these findings into prudent and effective clinical and public health policies such that exposure to both has dramatically decreased over the past 40 years due to the tenacious activities of pediatricians, other child-related professionals, government agencies at all levels, and the American Academy of Pediatrics. Research and clinical activities, although essential, were not sufficient to produce these successes, but required extensive mentoring to produce a generation of academic pediatricians capable of conducting the requisite research, and extensive advocacy by pediatricians and others to overcome the formidable inertia and outright opposition to efforts to protect our children from these exposures. Moreover, the article highlights that both of these environmental exposures have roots in social and environmental injustice and neither is solved, and that there is no safe level of exposure to either of these toxicants.

Analysis of State-Specific Prevalence, Regional Differences, and Correlates of Hookah Use in U.S. Adults, 2012-2013.

OBJECTIVE: To investigate the state-specific prevalence, regional differences, and correlates of hookah use among U.S. adults. METHODS: We analyzed the most recent nationally representative data of adults from the National Adult Tobacco Survey (NATS) 2012-2013 (n = 60192). State-specific prevalence of lifetime and current hookah use was calculated and mapped. Multivariate logistic regression was performed to determine the association between sociodemographic characteristics, regional differences, and hookah use. RESULTS: Among U.S. adults (≥18 years), overall prevalence of lifetime hookah use was 12.3%, while current use was 3.9%. Mapping of state-specific prevalence revealed that the West tended to have higher rates of use, while the South tended to have lower ones. In the adjusted model, we observed that current hookah use was positively associated with younger adults, males, non-Hispanic adults, those with higher education and income statuses, being single, those living in the West, and current cigarette use. CONCLUSION: The prevalence of hookah use varies by state, region, and sociodemographic characteristics among adults. Future research, including longitudinal studies, are needed to identify geographic and sociodemographic characteristics and trends among hookah users, investigate hookah-related health outcomes, and evaluate targeted public health efforts aimed at this emerging threat. IMPLICATIONS: This study investigates state-level prevalence, regional differences, and sociodemographic characteristics of hookah use among U.S. adults, using the most recent NATS. Hookah use was positively associated with younger adults and those living in the West. This study adds to the understanding of the geographic and sociodemographic factors underlying hookah use, which can be used to develop much needed evidence-based regulations and programs that are responsive to the needs of different risk groups.

Secondhand hookah smoke: an occupational hazard for hookah bar employees.

BACKGROUND: Despite the increasing popularity of hookah bars, there is a lack of research assessing the health effects of hookah smoke among employees. This study investigated indoor air quality in hookah bars and the health effects of secondhand hookah smoke on hookah bar workers. METHODS: Air samples were collected during the work shift of 10 workers in hookah bars in New York City (NYC). Air measurements of fine particulate matter (PM2.5), fine black carbon (BC2.5), carbon monoxide (CO), and nicotine were collected during each work shift. Blood pressure and heart rate, markers of active smoking and secondhand smoke exposure (exhaled CO and saliva cotinine levels), and selected inflammatory cytokines in blood (ineterleukin (IL)-1b, IL-6, IL-8, interferon γ (IFN-γ), tumour necrosis factor (TNF-α)) were assessed in workers immediately prior to and immediately after their work shift. RESULTS: The PM2.5 (gravimetric) and BC2.5 concentrations in indoor air varied greatly among the work shifts with mean levels of 363.8 µg/m3 and 2.2 µg/m3, respectively. The mean CO level was 12.9 ppm with a peak value of 22.5 ppm CO observed in one hookah bar. While heart rate was elevated by 6 bpm after occupational exposure, this change was not statistically significant. Levels of inflammatory cytokines in blood were all increased at postshift compared to preshift testing with IFN-Υ increasing from 0.85 (0.13) to 1.6 (0.25) (mean (standard error of the mean; SEM)) pg/mL (p<0.01). Exhaled CO levels were significantly elevated after the work shift with 2 of 10 workers having values >90 ppm exhaled CO. CONCLUSIONS: These results demonstrate that hookah bars have elevated concentrations of indoor air pollutants that appear to cause adverse health effects in employees. These data indicate the need for further research and a marked need for better air quality monitoring and policies in such establishments to improve the indoor air quality for workers and patrons.

Implementation of a peer-mediated health education model in the United Arab Emirates: addressing risky behaviours among expatriate adolescents.

Tobacco use among young people is increasing in the United Arab Emirates, and the country is ranked 15th in the world for prevalence of type II diabetes. Expatriates comprise a majority of the population, making them an important subset to study. We aimed to test whether an educational intervention would be effective in this cultural setting. We designed 2 peer-to-peer health workshops: tobacco use and nutrition/physical activity. One workshop was randomly assigned to 18 classrooms in private schools in Abu Dhabi. Surveys were administered before and after the workshops to assess intervention effectiveness. The tobacco workshop significantly improved responses (P < 0.05). The nutrition and physical activity workshop resulted in decreased satisfaction with personal activity levels. This study provides evidence to support the national adoption of a peer-to-peer health education model as an intervention for tobacco use but not for nutrition and physical activity choices.

Nursing Education to Reduce Use of Tobacco and Alternative Tobacco Products: Change Is Imperative.

BACKGROUND: Tobacco use continues to be the leading cause of preventable death worldwide. OBJECTIVE: To assess perceived tobacco educational preparation of undergraduate and graduate nurses in a large urban university. DESIGN: A cross-sectional web-based survey of all nursing students in an urban college of nursing was conducted to assess perceived tobacco educational content, skills, and self-efficacy for cessation counseling with patients who smoke cigarettes and use alternative tobacco products (e.g., hookah and e-cigarettes). RESULTS: Participants reported the most education about health effects of tobacco use (67%), and less than 6% reported education about alternative tobacco products. While the majority of nurses agreed that advising patients to quit is a priority, less than 40% reported receiving sufficient training in cessation counseling. CONCLUSIONS: There continues to be a compelling need articulated by leaders in tobacco policy and research over the past decade for a more vigorous response by nurses to the tobacco epidemic.

Multiple biomarkers for mortality prediction in peripheral arterial disease.

Few studies have assessed which biomarkers influence mortality risk among those with peripheral arterial disease (PAD). We analyzed data from 556 individuals identified to have PAD (i.e. ankle-brachial index ⩽ 0.9) with available measurements of C-reactive protein, the neutrophil-to-lymphocyte ratio (NLR), homocysteine, and the urinary albumin-to-creatinine ratio (UACR) in the 1999-2004 National Health and Nutrition Examination Survey. We investigated whether a combination of these biomarkers improved the prediction of all-cause and cardiovascular mortality beyond conventional risk factors. During follow-up (median, 8.1 years), 277 of 556 participants died; 63 deaths were attributed to cardiovascular disease. After adjusting for conventional risk factors, Cox proportional-hazards models showed the following to be most strongly associated with all-cause mortality (each is followed by the adjusted hazard ratio [HR] per 1 standard deviation increment in the log values): homocysteine (1.31), UACR (1.21), and NLR (1.20). UACR alone significantly predicted cardiovascular mortality (1.53). Persons in the highest quintile of multimarker scores derived from regression coefficients of significant biomarkers had elevated risks of all-cause mortality (adjusted HR, 2.45; 95% CI, 1.66-3.62; p for trend, <0.001) and cardiovascular mortality (adjusted HR, 2.20; 95% CI, 1.02-4.71; p for trend, 0.053) compared to those in the lowest two quintiles. The addition of continuous multimarker scores to conventional risk factors improved risk stratification of all-cause mortality (integrated discrimination improvement [IDI], 0.162; p<0.00001) and cardiovascular mortality (IDI, 0.058; p<0.00001). In conclusion, the addition of a continuous multimarker score to conventional risk factors improved mortality prediction among patients with PAD.

Passive and Active Tobacco Exposure and Children's Lipid Profiles.

INTRODUCTION: Despite reductions in smoking rates, exposure to cigarette smoke remains common among US children and adolescents. In adults, active smoking and secondhand smoke (SHS) exposure have been linked to adverse changes in lipid profiles and increases in inflammatory markers. Evidence that such changes are present before adulthood remains limited, and the extent to which active smoking and SHS exposure affect these cardiovascular measures in children has not been thoroughly assessed. METHODS: We employed data from 2008 individuals aged 12-19 years from the 2005-2010 National Health and Nutrition Examination Survey. Comparisons of the lipid and inflammatory marker levels among active smokers, those exposed to SHS (as determined by serum cotinine levels), and those unexposed to tobacco smoke were made using linear regression with multiple propensity score adjustment. RESULTS: Compared to unexposed children, lipid and inflammatory marker profiles did not differ among those exposed to SHS exposure. Among active smokers, differences compared to unexposed children were observed in triglyceride levels ( ß=8.5 mg/dL, P = .01), the ratio of triglycerides to high-density lipoprotein ( ß=0.2, P = .045), and low-density lipoprotein cholesterol ( ß=-4.1 mg/dL , P = .03), though these did not reach levels of confirmatory statistical significance. CONCLUSIONS: After accounting for sociodemographic characteristics and medical comorbidities, serum lipids and markers of systemic inflammation were not associated with SHS exposure. Tobacco smoke exposure in children may require longer durations of compounded effect before serum lipid abnormalities are detected. IMPLICATIONS: This paper adds detail to the study of secondhand smoke's effects on lipid profiles of children and adolescents. Prior research on this topic for these age groups has been limited, and this study provides national, cross-sectional data to show that both secondhand smoke and active smoking in childhood and adolescence is not associated with changes in lipid profiles or markers of inflammation. Tobacco smoke exposure may require longer durations of compounded effect before abnormalities are detected.

The Difference a Decade Makes: Smoking Cessation Counseling and Screening at Pediatric Visits.

INTRODUCTION: There has been a sharp decline in adolescents who smoke cigarettes but no national-level study evaluating the impact of smoking cessation counseling by pediatricians or other clinicians who care for children. METHODS: Combined data from ambulatory portions of the National Hospital Ambulatory Care Survey and National Ambulatory Medical Care Survey from 1997-1999 and 2009-2011 were analyzed to determine changes in the frequency of pediatric visits that included clinician-reported tobacco counseling and how such counseling varied by child, family, and clinician characteristics. RESULTS: In 1997-1999, 1.5% of all medical visits for children aged below 19 years included tobacco counseling; this increased to 3.8% in 2009-2011 (P < .001). A marked increase from 4.1% to 11.1% was noted at well-child visits (P < .001). There were significant increases in counseling by pediatricians but not mid-level providers or general/family physicians. Provision of counseling did not result in greater visit length during either time point. During 2009-2011, visits with a diagnosis of asthma were four times as likely (OR 4.2, 95% CI 2.8-6.2) and visits for otitis media two times as likely (OR 2.1, 95% CI 1.2-3.7) to include smoking cessation counseling than sick visits for all other diagnoses. CONCLUSION: These results demonstrate a significant increase in tobacco counseling by pediatric providers within the last decade, especially at well-child visits. However, the American Academy of Pediatrics' recommendation that pediatricians counsel about the harms of tobacco use and secondhand smoke exposure has not yet been exhaustively implemented. IMPLICATIONS: A significant increase in smoking cessation counseling at pediatric medical appointments, especially at well-child visits, occurred from 2009-2011 compared with 1997-1999, paralleling a large decrease in smoking prevalence. These improvements in counseling rates have been predominantly noted for pediatricians but not mid-level providers or general practitioners. Counseling was not associated with increased visit lengths. Although improved counseling practices by pediatricians have been demonstrated, there is still room for improvement.

Effects of hookah smoking on indoor air quality in homes.

INTRODUCTION: Hookahs (water pipes) are rapidly increasing in popularity worldwide. Evidence suggests that although perceived as safer than cigarette smoke, hookah smoke may be as, or even more, dangerous as cigarette smoke. METHODS: Air samples from 33 homes-11 where only hookah-smoking occurred, 12 with only cigarettes and 10 with no smoking-were collected to analyse concentrations of particulate matter (PM2.5), black carbon, elemental and organic carbon and carbon monoxide (CO). Air quality was assessed in rooms where smoking occurred and in an adjacent room. RESULTS: Hookah and cigarette smoking impaired home air quality. The rooms in which hookahs were smoked showed the highest concentrations for all pollutants. CO was significantly greater in the rooms where hookahs were smoked than in the cigarette-smoking rooms and the non-smoking households (p<0.05). In addition, CO levels in the rooms adjacent to where hookah was smoked were 2.5-fold to 4-fold greater than those in the smoking and non-smoking rooms of the cigarette homes (p<0.05). PM2.5 levels were also elevated in hookah homes compared to cigarette and non-smoking homes, although not significantly different. CONCLUSIONS: This study, the first of its kind, demonstrates potentially hazardous levels of home air pollution in rooms where hookahs are being smoked as well as in adjacent rooms. These levels were greater than those in cigarette smoking homes, raising concerns about potential negative health effects on all individuals living in homes where hookahs are smoked.

Knowledge, Beliefs, Behaviors, and Social Norms Related to Use of Alternative Tobacco Products Among Undergraduate and Graduate Nursing Students in an Urban U.S. University Setting.

PURPOSE: The purpose of the study was to assess nursing students' knowledge, beliefs, behaviors, and social norms regarding use of alternative tobacco products (ATPs). DESIGN AND METHODS: This anonymous online survey was conducted with all students enrolled in a college of nursing. The survey utilized measures from several national tobacco studies to assess knowledge and beliefs about ATPs (hookahs, cigars or cigarillos, bidis, kreteks, smokeless tobacco, electronic cigarettes) compared to cigarettes, health effects of ATPs, personal use of ATPs, and social norms. Data were analyzed in SPSS 22.0 (SPSS Inc., Chicago, IL, USA). Descriptive statistics and frequencies were performed for basic sociodemographic data. Paired samples t tests were performed to determine differences for scaled measures. FINDINGS: Nursing students demonstrated very low levels of knowledge about ATPs and their health consequences, despite high rates of ATP personal use. About 76% of participants reported use of one or more ATPs once or more in their lifetimes. A greater proportion of students had used hookahs or waterpipes (39.6%) compared to cigarettes (32.7%). CONCLUSIONS: Nurses' lack of knowledge about the emerging use and health threats associated with ATPs may undermine their ability to provide appropriate tobacco cessation counseling. Research is needed to identify gaps in nurses' education regarding tobacco cessation counseling and to develop new counseling approaches specific to use of ATPs. CLINICAL RELEVANCE: Nurses play critical roles in counseling their patients for tobacco cessation. Further research and education about the risks presented by ATPs are critical to reducing excess tobacco-related mortality.

Persistent racial and ethnic differences in location of death for children with cancer.

BACKGROUND: Approximately one in 285 children will be diagnosed with cancer before reaching their 20th birthday. While both oncologists and parents report a preference that these children die at home rather than in a hospital, there are limited data exploring this issue in depth. PROCEDURE: We performed a retrospective analysis of national-level data from 1999 to 2011 from the National Center for Health Statistics "Underlying Cause of Death" database. Characteristics investigated included sex, race, age, ethnicity, cancer type, geographic location, and population density where the child lived. RESULTS: Of the 2,130 children with a death attributable to neoplasm in 2011, 37.6% (95% CI, 35.5-39.6%) died at home compared to 36.9% (95% CI, 35.0-38.8%) in 1999. In 2011, there were statistically significant racial differences between white, black, and Hispanic children across nearly every age group, with white children consistently most likely to die at home. Children of non-Hispanic origin were significantly more likely to die at home than Hispanic children (40.3% vs. 29.3%, P < 0.001). Children with CNS tumors are more likely to die at home than children with neoplasms as a whole, while children with leukemia are less likely. Statistically significant differences by race and ethnicity persist regardless of cancer type. CONCLUSIONS: There has been no significant change in the rate of children with cancer who die at home over the past decade. Racial and ethnic differences have persisted in end of life care for children with cancer with white non-Hispanic children being most likely to die at home.