Prevalence of Young Adult Vaping, Substance Vaped, and Purchase Location Across Five Categories of Vaping Devices.

INTRODUCTION: The rapidly evolving landscape of vaping devices has complicated analyses of use patterns among youth and young adults. The current study describes the prevalence of use, substances vaped, and purchasing behaviors across five different vaping device categories. AIMS AND METHODS: Participants (n = 2505; mean age = 19.2, SD = 0.46) from a cohort in the Los Angeles area completed web-based surveys from June 2018 to October 2019. For each of four device type categories depicted via digital images (any pod-style vape, cigalike, box-mod, vape pen) and for JUUL specifically, participants reported ever and past 30-day use, substance vaped (mostly nicotine, nicotine and tetrahydrocannabinol [THC], mostly THC, neither), ownership of device (yes/no), where they obtained that device (eg, purchased themselves, from a friend), and if purchased, purchase location (eg, vape shop, online). RESULTS: Overall, 44.9% reported ever use, and 26.2% reported past 30-day use of at least one of the devices. The prevalence of past 30-day use was highest for pod-style vapes (any pod = 17.0%; JUUL = 15.1%). Among respondents who reported ever owning any device (n = 643 [25.7%]), 59.9% reported purchasing the device themselves, despite not being of legal purchasing age (15.4% of total sample); across all device types, products were most often purchased in vape shops or online. CONCLUSIONS: Across all devices, the prevalence of self-purchase of vaping devices among underage young adults in the Los Angeles area was high, and most were purchased from a vape shop or online. Tobacco control policies to prevent underage purchase of tobacco products-particularly among never smokers-are needed. IMPLICATIONS: A high proportion of underage young adults reported owning their own vaping device and having purchased it themselves from a vape shop or online. Stronger tobacco control policies and better enforcement efforts are needed to successfully prevent underage purchase of tobacco products.

Data Visualization Tools of Tobacco Product Use Patterns, Transitions and Sex Differences in the PATH Youth Data.

INTRODUCTION: Evaluations of multiple tobacco product use and temporal changes in patterns of use are complicated by a large number of combinations and transitions. Visualization tools could easily identify most common patterns and transitions. METHODS: Set intersection bar plots describe ever use of five tobacco products among 12-17 years old youth in wave 1 of the Population Assessment of Tobacco and Health (PATH) study (N = 11 497). Heat maps visualize unweighted frequencies of transitions from ever use at wave 1 (2013-2014) to past 12-month use at wave 2 (2014-2015). Weighted calibrated heat maps assess differences in relative frequencies of transitions by pattern at wave 1 and identify differences in transitions by sex. RESULTS: The most common tobacco product ever use patterns in wave 1 were of cigarettes only, e-cigarettes only or hookah only, followed by ever use of both cigarettes and e-cigarettes. Initiation of use between waves was uncommon. The most frequent transition among those who reported use at wave 2 but not at wave 1 (N = 971) was to e-cigarette use (N = 301). However, among e-cigarette-only ever users at wave 1 (N = 260), about half did not report any product use at wave 2. Use of three or more products remained stable. Adolescent girls compared to boys appeared more likely to report hookah use at both waves. CONCLUSION: Set intersection bar plots and heat maps are useful for visualizing tobacco product use patterns and transitions, especially for multiple products. Both techniques could identify common problematic tobacco use patterns across and within populations. IMPLICATIONS: Given the growing complexity of the youth tobacco use landscape, approaches to efficiently communicate patterns of multiple tobacco product use should be used more often. This study introduces set intersection bar plots and modified versions of heat maps to the tobacco product literature and illustrates their use in the PATH youth sample. These techniques are useful for visualizing absolute and relative frequencies of multiple possible patterns and transitions. They also suggest targets for subsequent statistical inference such as sex differences in hookah use. The methods can be applied more generally for data visualization wherever large number of combinations occurs.

How are adolescents getting their vaping products? Findings from the international tobacco control (ITC) youth tobacco and vaping survey.

OBJECTIVE: To examine the sources of vaping products reported by adolescents, and the characteristics of adolescents who reported purchasing a vaping product in the past year in the United States (US), Canada (CA), and England (EN). METHODS: Data were from the 2017 ITC Youth Tobacco and Vaping Survey, a web-based survey of 12,128 respondents aged 16-19 years recruited from commercial panels in the US, CA, and EN. Respondents who have vaped in the past 12 months were asked whether they had purchased a vaping product, and from where (vape shop, online, retail), as well as whether anyone refused to sell them a vaping product because of their age. Respondents who reported vaping in the past 30 days were asked where they had obtained their vaping product from a social and/or commercial source. RESULTS: Only about 7.5% of respondents reported having purchased a vaping product in the past year. Among those who had vaped in the past year, 32.6% reported having purchased a vaping product in the past year. Purchasing prevalence was significantly higher among US respondents compared to those from CA and EN; purchase prevalence was also higher among Canadian adolescents than respondents from England. The most commonly reported purchase location for vaping products in all counties was vape shops. Among past 30-day vapers, 42.5% reported getting their vaping products only from social sources, 41.4% only from commercial sources, and 13.4% from both types of sources. Purchasing a vaping product in the past year was associated with being male, of legal age to buy tobacco and vaping products, and greater frequency of smoking and vaping in the past 30 days. CONCLUSIONS: Most adolescents have not purchased a vaping product, but among those who had, vape shops were the mostly commonly reported location for buying a vaping product. Purchasing of a vape product was more commonly reported by those who vape more frequently and by those of legal age to buy a vaping product.

Tackling second-hand exposure to tobacco smoke and aerosols of electronic cigarettes: the TackSHS project protocol / Abordando la exposición a las emisiones del tabaco y de los cigarrillos electrónicos: protocolo del proyecto TackSHS

OBJECTIVE: The TackSHS project aims to comprehensively elucidate the impact that exposure to second-hand smoke (SHS) from cigarettes and second-hand aerosols (SHA) from electronic cigarettes have on the respiratory health of the European population according to socioeconomic characteristics and other determinants. METHOD: The TackSHS project involves a series of coordinated studies carried out by 11 academic and public health organisations from six European countries. The project will investigate: a) the determinants of SHS and SHA exposure assessed at the individual level (surveys on representative general population samples) and in common environments (environmental sampling in specific settings); b) the overall disease burden, mortality and morbidity attributable to such exposure; and c) its economic impact in terms of direct health care costs. The project will also examine specific acute respiratory health changes in healthy individuals and patients with respiratory diseases exposed to SHS and SHA. In addition, the project will examine the effectiveness of a novel intervention to reduce SHS exposure in households where smoking is permitted. All these studies are inter-related and involve collaborative coordination among the participant organisations. CONCLUSIONS: The comprehensive, integrated approach of the TackSHS project will enable a significant step forward from the current status quo in the understanding of the impact of SHS and SHA exposure on health and provide the basis for health policy recommendations to help European countries to further reduce the harm caused by SHS and SHA exposure

OBJETIVO: El proyecto TackSHS pretende caracterizar el impacto global de la exposición al humo ambiental de tabaco (HAT) y al aerosol de los cigarrillos electrónicos (ACE) en la salud respiratoria de la población europea según variables socioeconómicas y otros determinantes. MÉTODO: El proyecto TackSHS consiste en una serie de estudios coordinados y gestionados por 11 organizaciones académicas y de salud pública de seis países europeos. El proyecto estudiará: a) los determinantes de la exposición al HAT y al ACE a nivel individual (encuestas en muestras representativas de la población general) y en espacios comunes (muestras ambientales en lugares específicos); b) su carga general de enfermedad y la morbimortalidad atribuible a tal exposición; y c) su impacto económico en términos de costes sanitarios directos e indirectos. Además, el proyecto investigará cambios específicos a corto plazo en la salud respiratoria en personas sanas y en pacientes con enfermedades respiratorias expuestos al HAT y al ACE. También examinará la efectividad de una intervención novedosa para reducir la exposición al HAT en hogares donde se permite fumar. Todos estos estudios están interrelacionados y conllevan una coordinación colaborativa entre las instituciones participantes. CONCLUSIÓN: El enfoque integral del proyecto TackSHS permitirá un avance significativo en la evidencia sobre la comprensión del impacto de la exposición al HAT y al ACE en la salud, y proporcionará una base para desarrollar recomendaciones políticas sanitarias para ayudar a los países europeos a reducir los daños causados por la exposición al HAT y al ACE

Online Tobacco Marketing and Subsequent Tobacco Use.

BACKGROUND: Nearly 2.9 million US adolescents engaged with online tobacco marketing in 2013 to 2014. We assess whether engagement is a risk factor for tobacco use initiation, increased frequency of use, progression to poly-product use, and cessation. METHODS: We analyzed data from 11 996 adolescents sampled in the nationally representative, longitudinal Population Assessment for Tobacco and Health study. At baseline (2013-2014), we ascertained respondents' engagement with online tobacco marketing. At follow-up (2014-2015), we determined if respondents had initiated tobacco use, increased frequency of use, progressed to poly-product use, or quit. Accounting for known risk factors, we fit a multivariable logistic regression model among never-users who engaged at baseline to predict initiation at follow-up. We fit similar models to predict increased frequency of use, progression to poly-product use, and cessation. RESULTS: Compared with adolescents who did not engage, those who engaged reported higher incidences of initiation (19.5% vs 11.9%), increased frequency of use (10.3% vs 4.4%), and progression to poly-product use (5.8% vs 2.4%), and lower incidence of cessation at follow-up (16.1% vs 21.5%). Accounting for other risk factors, engagement was positively associated with initiation (adjusted odds ratio [aOR] = 1.26; 95% confidence interval [CI]: 1.01-1.57), increased frequency of use (aOR = 1.58; 95% CI: 1.24-2.00), progression to poly-product use (aOR = 1.70; 95% CI: 1.20-2.43), and negatively associated with cessation (aOR = 0.71; 95% CI: 0.50-1.00). CONCLUSIONS: Engagement with online tobacco marketing represents a risk factor for adolescent tobacco use. FDA marketing regulation and cooperation of social-networking sites could limit engagement.

Tobacco product use and mental health status among young adults.

BACKGROUND: Individuals with mental health conditions represent a priority population for tobacco control. This population smokes cigarettes at disproportionately higher rates than the general population, but less is known about the relationship between non-cigarette tobacco use and mental health status. METHOD: In 2013, 2370 young adults recruited from 11 colleges in North Carolina and Virginia completed an online survey on tobacco use. We compared past 6-month self-reported mental health diagnosis, past 30-day depression score, and past 7-day stress score to past 30-day cigarette, e-cigarette, waterpipe, cigar, and smokeless tobacco use. Models adjusted for age, gender, race, ethnicity, and mother's education. Non-cigarette products were also adjusted for past 30-day cigarette use. RESULTS: Among participants, 249 (10.5%) reported a mental health diagnosis, most commonly depression (5.5%), ADHD/ADD (4.5%), and anxiety (0.8%). Those who reported a mental health diagnosis had greater odds of using cigarettes (AOR=1.55; CI=1.01, 2.27). Mean stress score was 16.0 (SD=6.9) of possible 40. Higher stress scale score was associated with increased odds of e-cigarette (AOR=1.03; CI=1.01, 1.05), waterpipe (AOR=1.04; CI=1.01, 1.06), and cigarette (AOR=1.02; CI=1.00, 1.04) use. Mean depression score was 7.2 (SD=5.6) of possible 33. Higher depression scale score was associated with increased odds for e-cigarette (AOR=1.04; CI=1.01, 1.08) and cigarette (AOR=1.03; CI=1.01, 1.06) use. CONCLUSION: Findings in this study provide further evidence of a potential relationship between non-cigarette tobacco products and mental health status. Tobacco control efforts aimed at reducing tobacco use disparities among mental health populations should focus on non-cigarette tobacco products in addition to cigarettes.

The Standard Joint Unit.

OBJECTIVE: Reliable data on cannabis quantities is required to improve assessment of cannabis consumption for epidemiological analysis and clinical assessment, consequently a Standard Joint Unit (SJU) based on quantity of 9-Tetrahydrocannabinol (9-THC) has been established. METHODOLOGY: Naturalistic study of a convenience sample recruited from February 2015-June 2016 in universities, leisure spaces, mental health services and cannabis clubs in Barcelona. Adults, reporting cannabis use in the last 60 days, without cognitive impairment or language barriers, answered a questionnaire on cannabis use and were asked to donate a joint to further determine their 9-THC and Cannabidiol (CBD) content. RESULTS: 492 participants donated 315 valid joints. Donators were on average 29 years old, mostly men (77%), single (75%), with at least secondary studies (73%) and in active employment (63%). Marijuana joints (N=232) contained a median of 6.56mg of 9-THC (Interquartile range-IQR=10,22) and 0.02mg of CBD (IQR=0.02); hashish joints (N=83) a median of 7.94mg of 9-THC (IQR=10,61) and 3.24mg of CBD (IQR=3.21). Participants rolled 4 joints per gram of cannabis and paid 5€ per gram (median values). CONCLUSION: Consistent 9-THC-content in joints lead to a SJU of 7mg of 9-THC, the integer number closest to the median values shared by both cannabis types. Independently if marijuana or hashish, 1 SJU = 1 joint = 0.25 g of cannabis = 7 mg of 9-THC. For CBD, only hashish SJU contained relevant levels. Similarly to the Standard Drink Unit for alcohol, the SJU is useful for clinical, epidemiological and research purposes.

Do stronger school smoking policies make a difference? Analysis of the health behaviour in school-aged children survey.

BACKGROUND: Associations of the strength of school smoking policies with cigarette, e-cigarette and cannabis use in Wales were examined. METHODS: Nationally representative cross-sectional survey of pupils aged 11-16 years (N=7376) in Wales. Senior management team members from 67 schools completed questionnaires about school smoking policies, substance use education and tobacco cessation initiatives. Multi-level, logistic regression analyses investigated self-reported cigarette, e-cigarette and cannabis use, for all students and those aged 15-16 years. RESULTS: Prevalence of current smoking, e-cigarette use and cannabis use in the past month were 5.3%, 11.5% and 2.9%, respectively. Of schools that provided details about smoking policies (66/67), 39.4% were strong (written policy applied to everyone in all locations), 43.9% were moderate (written policy not applied to everyone in all locations) and 16.7% had no written policy. There was no evidence of an association of school smoking policies with pupils' tobacco or e-cigarette use. However, students from schools with a moderate policy [OR = 0.47; 95% (confidence interval) CI: 0.26-0.84] were less likely to have used cannabis in the past month compared to schools with no written policy. This trend was stronger for students aged 15-16 years (moderate policy: OR = 0.42; 95% CI: 0.22-0.80; strong policy: OR = 0.45; 95% CI: 0.23-0.87). CONCLUSIONS: School smoking policies may exert less influence on young people's smoking behaviours than they did during times of higher adolescent smoking prevalence. Longitudinal studies are needed to examine the potential influence of school smoking policies on cannabis use and mechanisms explaining this association.