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OBJECTIVE: This study utilized a socioecological approach to prospectively identify intrapersonal, familial, and environmental factors associated with single nicotine product use (NPU) and multiple NPU among U.S. youth. METHODS: Participants were 10,029 youths (ages 12-17 years) who had completed the Population Assessment of Tobacco Health study's Wave 1 (2013-2014) and Wave 4 (2016-2018) assessments and data on past 30-day nicotine product use. Multinomial logistic regression was fit for the 3-level outcome (no use, single NPU, multiple NPU) to estimate adjusted associations between the predictors and the outcome. RESULTS: The current study found that intrapersonal (sex, age, race/ethnicity, internalizing symptoms, sensation seeking, harm perceptions, lifetime history of using two or more tobacco products), familial (parental discussion about not using tobacco and living with someone who uses tobacco products) and environmental factors (exposure to tobacco advertising) commonly associated with tobacco use differentiated between individuals who later reported past 30-day NPU (either multiple or single NPU) from those who did not report past 30-day NPU. One familial factor only differentiated between lifetime users who were single NPUs from those who reported no NPU: non-combustible tobacco product use allowed anywhere in the home. Intrapersonal factors differentiated multiple NPU from single NPU: older age, being male, lifetime history of using nicotine product and less harm perceptions. CONCLUSIONS: This study identified factors that may be studied to prevent any NPU, along with factors that may be studied to promote harm reduction by preventing escalation of single NPU to problematic patterns of multiple NPU.
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Productos de Tabaco , Humanos , Adolescente , Masculino , Femenino , Estados Unidos/epidemiología , Niño , Productos de Tabaco/estadística & datos numéricos , Uso de Tabaco/epidemiología , Estudios Prospectivos , Factores de RiesgoRESUMEN
This study examines the demographic factors associated with youths' first product tried (i.e., cigarettes, e-cigarettes, cigars, hookah, or smokeless tobacco). This study also evaluates whether the first product tried is associated with future nicotine product use (i.e., no use, single product use, and multiple product use) and nicotine dependence. Participants were 1999 youths (ages 12-17 years) who had ever tried a nicotine product and completed the Population Assessment of Tobacco Health study's Wave 1 (2013-2014) and Wave 4 (2016-2018) assessments. Two separate multinomial logistic regression models examined the association between 1) demographic factors and the first product tried at Wave 1 and 2) the first product tried at Wave 1 and past-30-day product use status at Wave 4. A two-part multivariable model examined the association between the first product tried and nicotine dependence, with part 1 modeling the presence (or absence) of any symptom of dependence and part 2 modeling the degree of dependence among those with any symptom of dependence. The first product tried was associated with sex, race, urbanicity, and parent education. First trying smokeless tobacco (vs. e-cigarettes) was associated with a greater likelihood of multiple product use (vs. no use and vs. single product use). Regarding the degree of nicotine dependence (n = 713), first trying smokeless tobacco (vs. e-cigarettes) was associated with higher nicotine dependence scores among those with any symptom of dependence. Youths who first try smokeless tobacco (vs. e-cigarettes) may be at higher risk for future multiple product use and more symptoms nicotine dependence. Research should explore tailored interventions for smokeless tobacco users.
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Sistemas Electrónicos de Liberación de Nicotina , Productos de Tabaco , Tabaquismo , Humanos , Adolescente , Estados Unidos/epidemiología , Niño , Tabaquismo/epidemiología , Nicotina/efectos adversos , Uso de Tabaco/epidemiologíaRESUMEN
Characterizing variations in the timing of alcohol, cigarette, and cannabis use onset both among and between Black and White youth can inform targeted prevention. The current study aimed to capture cross-substance initiation patterns in Black and White girls and characterize these patterns with respect to substance use related socioeconomic, neighborhood, family, community, and individual level factors. Data were drawn from interviews conducted at ages 8 through 17 in an urban sample of girls (n = 2172; 56.86% Black, 43.14% White). Discrete-time multiple event process survival mixture modeling was used to identify patterns (i.e., classes) representing timing of alcohol, cigarette, and cannabis use initiation, separately by race. Class characteristics were compared using multinomial logistic regression. Among both Black and White girls, four classes, including abstainer and cross-substance early onset classes, emerged. Two classes characterized by mid-adolescence onset (Black girls) and variation in onset by substance (White girls) were also observed. Class differences centered around cannabis for Black girls (e.g., preceding or following cigarette use) and alcohol for White girls (e.g., (in)consistency over time in greater likelihood of initiation relative to cigarette and cannabis use). Several factors distinguishing the classes were common across race (e.g., externalizing behaviors, friends' cannabis use); some were specific to Black girls (e.g., intentions to smoke cigarettes) or White girls (e.g., primary caregiver problem drinking). Findings underscore the need to recognize a more complex picture than a high-risk/low-risk dichotomy for substance use initiation and to attend to nuanced differences in markers of risky onset pathways between Black and White girls.
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Cannabis , Trastornos Relacionados con Sustancias , Productos de Tabaco , Adolescente , Negro o Afroamericano , Consumo de Bebidas Alcohólicas/epidemiología , Niño , Femenino , Humanos , Trastornos Relacionados con Sustancias/epidemiologíaRESUMEN
Use of flavored tobacco has been associated with lower likelihood of short-term abstinence from tobacco. It is unknown whether longer-term associations exist, particularly for a variety of products and specific flavor categories. This study used adult survey data from the Population Assessment of Tobacco and Health (PATH) Study (2013-2018). We tested associations of past 30-day tobacco product use at wave 2 using both a 2-category any flavor versus unflavored variable and 4-category specific flavor (menthol/mint, sweet, and both menthol/mint and sweet) versus unflavored variable with past 12-month cessation from the same product two years later at wave 4. Separate models were run for each product (combustible cigarettes, cigars, hookah, e-cigarettes, and smokeless), adjusting for wave 1 sociodemographic characteristics. For all five products, past 30-day use of any flavored (versus unflavored) product at wave 2 was associated with reduced likelihood of same-product cessation at wave 4. Most specific flavor categories were associated with reduced odds of same-product cessation across all products. Any flavor use was also associated with reduced likelihood of longer-term cessation (i.e., past 24-months at both waves 3 and 4) and cessation from all five tobacco products in several analyses. Exploratory moderation results indicated that the association between e-cigarette flavor use and lower likelihood of cessation was stronger for young adults (18-24) versus older adults (25+). Current use of flavored tobacco products is associated with lower likelihood of product cessation. Flavored tobacco products warrant consideration in regulatory policy to reduce the adverse public health impact of tobacco use.
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Sistemas Electrónicos de Liberación de Nicotina , Productos de Tabaco , Anciano , Aromatizantes , Humanos , Mentol , Nicotiana , Uso de Tabaco/epidemiología , Estados Unidos/epidemiología , Adulto JovenRESUMEN
The mental health impact of the COVID-19 pandemic will increase as the outbreak continues and persist even after the pandemic passes. We developed an 11-item Coronavirus Pandemic Anxiety Scale (CPAS-11) to measure symptoms of anxiety related to the COVID-19 pandemic to help identify individuals who might need mental health services. In developing the scale items, we considered previous research and theory on anxiety symptoms and symptoms reported by clinically referred cases in the Philippines. The scale was validated in a Filipino sample (N = 925). Exploratory factor analysis indicated two factors corresponding to somatic and non-somatic symptoms; confirmatory factor analysis showed good fit for the two-factor model. CPAS-11 showed good internal consistency, convergent and divergent validity, and screening accuracy. A cutoff score of 15 showed adequate sensitivity and specificity to distinguish GAD-7 screened participants. The results support the viability of CPAS-11 as a screening tool to identify individuals experiencing COVID-19-related anxiety.
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INTRODUCTION: Most tobacco use is initiated during adolescence and susceptibility is an important predictor of initiation. Research is needed to understand susceptibility across tobacco products among youth to inform prevention efforts. AIMS AND METHODS: We surveyed 2945 students from four Southeastern Connecticut high schools in 2017. We assessed susceptibility to future use of seven different tobacco products (ie, cigarettes, e-cigarettes, hookah, cigars, cigarillos, blunts, and smokeless tobacco) among youth who had never used a tobacco product. Susceptibility was coded as any response other than "definitely not" to three items assessing (1) curiosity, (2) willingness to experiment with the product in the future, and (3) willingness to try if offered by a friend. Latent class analysis was used to identify patterns of susceptibility across multiple tobacco products and sociodemographic predictors of these classes. RESULTS: Among n = 1246 youth who had never tried a tobacco product, 51.2% (n = 638) were susceptible to at least one product and 29.1% (n = 363) were susceptible to two or more products (average among susceptible youth: M = 2.4 products, SD = 1.7, range 1-7). Latent class analysis identified three classes: youth who were: (1) susceptible to all products (5.6%), (2) susceptible to e-cigarettes, hookah, and blunts (23.6%), and (3) mostly non-susceptible to all products (70.8%). In a multivariable model, demographic variables and peer tobacco use predicted class membership. CONCLUSIONS: We observed high rates of susceptibility to non-traditional tobacco products among youth, and many youth were susceptible to more than one product. Targeting susceptibility across multiple tobacco products may be important for reducing youth tobacco use. IMPLICATIONS: Patterns of polytobacco use susceptibility were identified among youth who had never previously used tobacco products. Many youth were susceptible to more than one product and we observed three distinct classes of susceptibility among youth: those who were mostly non-susceptible, those who were susceptible to alternative or non-traditional tobacco products (e-cigarettes, hookah, and blunts), and those who were susceptible to all tobacco products. These findings suggest the importance of addressing susceptibility across multiple tobacco products.
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Sistemas Electrónicos de Liberación de Nicotina/estadística & datos numéricos , Análisis de Clases Latentes , Estudiantes/psicología , Productos de Tabaco/clasificación , Productos de Tabaco/estadística & datos numéricos , Fumar Tabaco/epidemiología , Adolescente , Conducta del Adolescente , Adulto , Connecticut/epidemiología , Susceptibilidad a Enfermedades , Femenino , Humanos , Masculino , Encuestas y Cuestionarios , Fumar Tabaco/psicología , Adulto JovenRESUMEN
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.
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Dispositivos para Fumar/estadística & datos numéricos , Fumar/epidemiología , Vapeo/epidemiología , Adolescente , Niño , Análisis por Conglomerados , Femenino , Humanos , MasculinoRESUMEN
INTRODUCTION: Prevalence estimates of electronic cigarette (e-cigarette) use may underestimate actual use in youth. Confusion resulting from the fact that a multitude of devices (eg, vape pens, JUULs) fall under the umbrella term "e-cigarettes," the use of different names to refer to e-cigarettes (eg, vapes, electronic vaping devices), and the use of different terminology to refer to e-cigarette use (eg, "vaping," "JUULing"), may lead some young e-cigarette users to incorrectly indicate nonuse. Therefore, we compared rates of endorsing lifetime e-cigarette use when adolescents were asked about lifetime e-cigarette use in two different ways. METHODS: In May to June 2018, a total of 1960 students from two high schools in Connecticut completed a computerized, school-based survey. Participants first reported on lifetime "e-cigarette" use and, subsequently, on lifetime use of five different e-cigarette devices: disposables, cig-a-likes, or E-hookahs; vape pens or Egos; JUULs; pod systems other than JUULs such as PHIX or Suorin; and advanced personal vaporizers or mods. RESULTS: In total, 35.8% of students endorsed lifetime "e-cigarette" use, whereas 51.3% endorsed lifetime use of at least one e-cigarette device. The kappa statistic indicated only 66.6% agreement between the methods of assessing e-cigarette use. Overall, 31.5% of adolescents who endorsed lifetime device use did not endorse lifetime "e-cigarette" use, although rates of discordant responding varied across subgroups of interest (eg, sex, race). CONCLUSIONS: Assessing adolescents' use of specific e-cigarette devices likely yields more accurate results than assessing the use of "e-cigarettes." If these findings are replicated in a nationally representative sample, regulatory efforts requiring all e-cigarette devices to be clearly labeled as "e-cigarettes" may help to reduce confusion. IMPLICATIONS: Different prevalence estimates of lifetime e-cigarette use were obtained depending on the way that prevalence was assessed. Specifically, fewer adolescents (35.8%) endorsed lifetime e-cigarette use when they were asked "Have you ever tried an e-cigarette, even one or two puffs?" than when they were queried about lifetime use of five different e-cigarette devices (51.3%). Among those who endorsed lifetime use of at least one specific e-cigarette device, 31.5% did not endorse lifetime "e-cigarette" use. These findings suggest that when assessing adolescents' lifetime e-cigarette use, using of terms referring to specific devices likely produces more accurate prevalence estimates than using the term "e-cigarettes."
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Sistemas Electrónicos de Liberación de Nicotina/estadística & datos numéricos , Instituciones Académicas/estadística & datos numéricos , Estudiantes/psicología , Productos de Tabaco/estadística & datos numéricos , Vapeo/epidemiología , Adolescente , Connecticut/epidemiología , Femenino , Humanos , Masculino , Prevalencia , Fumadores/psicología , Estudiantes/estadística & datos numéricos , Encuestas y Cuestionarios , Vapeo/psicologíaRESUMEN
PURPOSE: To evaluate the causes of IOL explantation, techniques for secondary IOL implantation, visual outcomes and complications. METHODS: Setting: Department of Ophthalmology Complexo Hospitalario Universitario A Coruña, Spain. DESIGN: Retrospective study. All explanted IOLs from January 2010 to June 2018 were included. Medical records were reviewed to determine the surgical indication for IOL explantation, type of IOL implanted, time between surgeries, visual outcomes and surgical complications. RESULTS: One hundred forty-one IOLs were explanted (134 patients). Mean time from original surgery to IOL explantation was 7.89 ± 5.81 years. Causes of IOL explantation were IOL dislocation (81.56%)-in-the-bag IOL dislocation (71.63%), out-of-the-bag IOL dislocation (9.9%)-corneal decompensation (12.05%), refractive surprise (3.5%), uveitis-glaucoma-hyphema syndrome (1.4%), IOL opacification (1.4%). Procedures for secondary IOL implantation were retropupillar iris-claw IOL (63.8%), flanged scleral fixated IOL (9.2%), three-piece IOL in ciliary sulcus (8.5%), angle-supported anterior chamber IOL (7.1%), in-the-bag IOL (3.5%), scleral fixated IOL with sutures (0.7%). Ten cases (7.1%) were left aphakic. Mean preoperative and postoperative logMAR CDVA were 1.34 ± 0.87 and 0.63 ± 0.69, respectively (p = 0.000). Mean preoperative IOP and postoperative IOP were 16.78 ± 4.49 and 15.53 ± 3.476 mmHg, respectively (p = 0.005). Complications include cystoid macular edema (7.8%), glaucoma (7.1%), IOL luxation (2.1%), retinal detachment (1.4%), trophic ulcer and leucoma (1.4%), corneal decompensation (1.4%). CONCLUSIONS: In-the-bag IOL dislocation was the most frequent indication for IOL explantation, followed by pseudophakic bullous keratopathy. Simultaneous IOL exchange for a retropupillar iris-claw IOL was the most frequent procedure for secondary IOL implantation. Mean CDVA improved significantly and IOP decreased significantly after IOL explantation. The most frequent postoperative complication was cystoid macular edema.
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Remoción de Dispositivos/métodos , Lentes Intraoculares/efectos adversos , Complicaciones Posoperatorias/cirugía , Centros de Atención Terciaria , Agudeza Visual , Anciano , Anciano de 80 o más Años , Femenino , Estudios de Seguimiento , Humanos , Incidencia , Masculino , Persona de Mediana Edad , Complicaciones Posoperatorias/epidemiología , Estudios Retrospectivos , España/epidemiologíaRESUMEN
INTRODUCTION: Given the US Food and Drug Administration (FDA)'s authority to regulate hookah, more research is needed to inform regulations intended to prevent youth from using hookah. This systematic review summarizes and assesses the literature related to hookah use among adolescents (11 to ≤18 years of age) in the United States from 2009 to 2017. METHODS: Database searches yielded 867 peer-reviewed articles. After duplicates were removed, authors reviewed 461 articles for inclusion. Included articles (n = 55) were coded for study themes, study quality, and their relevance to FDA's research priorities. A qualitative synthesis is presented. RESULTS: The following themes were identified: (1) prevalence of hookah use (n = 42), (2) tobacco use transitions (n = 7), (3) sociodemographic correlates (n = 35), (4) psychosocial risk factors (n = 21), (5) concurrent use of other tobacco products (n = 31), (6) concurrent use of other substances (n = 9), and (7) other (n = 15)-which includes low prevalence themes. The qualitative synthesis showed increasing rates of hookah use. Older age, male gender, positive social normative beliefs, higher peer use, as well as lower perceived risk were associated with hookah use. Longitudinal studies of youth hookah use showed bidirectional relationships between use of hookah and other tobacco products. All articles fell within FDA's research priority related to "behavior," and three priorities ("impact analysis," "health effects," and "toxicity") have not been explored for hookah use among US youth since 2009. CONCLUSIONS: The prevalence of hookah use among youth in the United States is increasing, thus more research is needed to inform policies targeted to protect this vulnerable population. IMPLICATIONS: This study represents a novel contribution to our understanding of hookah use among youth in the United States from 2009-the year that the Family Smoking Prevention and Tobacco Control Act was passed-to 2017. In recent years, hookah has become a more popular tobacco product among US youth; however, to date, no systematic reviews of hookah use among this population exist. Results highlight implications for future US FDA regulatory policy and identify gaps in research to be addressed in future studies.
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Pipas de Agua/estadística & datos numéricos , Fumar/epidemiología , Uso de Tabaco/epidemiología , Adolescente , Niño , Humanos , Prevalencia , Factores de Riesgo , Fumar/tendencias , Factores de Tiempo , Estados Unidos/epidemiologíaRESUMEN
Among adolescents, low socioeconomic status (SES) is associated with greater exposure to tobacco cigarette advertising and cigarette use. However, associations among SES, e-cigarette advertising and e-cigarette use are not well understood. This study examined exposure to e-cigarette advertisements as a mediator of the relationship between SES and adolescent e-cigarette use. Adolescents (Nâ¯=â¯3473; 51% Female) from 8 high schools in Connecticut completed an anonymous survey in Spring 2015. Mediation analysis was used to examine whether the total number of sources of recent e-cigarette advertising exposure (e.g., TV, radio, billboards, magazines, local stores [gas stations, convenience stores], vape shops, mall kiosks, tobacco shops, social media) mediated the association between SES (measured by the Family Affluence Scale) and past-month frequency of e-cigarette use. We clustered for school and controlled for other tobacco product use, age, sex, race/ethnicity and perceived social norms for e-cigarette use in the model. Our sample recently had seen advertisements via 2.1 (SDâ¯=â¯2.8) advertising channels. Mediation was supported (indirect effect: ßâ¯=â¯0.01, SEâ¯=â¯0.00, 95% CI [0.001, 0.010], pâ¯=â¯0.02), such that higher SES was associated with greater recent advertising exposure, which, in turn, was associated with greater frequency of e-cigarette use. Our study suggests that regulations to reduce youth exposure to e-cigarette advertisement may be especially relevant to higher SES youth. Future research should examine these associations longitudinally and evaluate which types of advertisements target different SES groups.
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Publicidad , Sistemas Electrónicos de Liberación de Nicotina , Factores Socioeconómicos , Vapeo , Adolescente , Connecticut , Femenino , Humanos , Masculino , Instituciones Académicas , Encuestas y Cuestionarios , Uso de TabacoRESUMEN
The 50th anniversary of the Swampscott Conference offers an opportunity to reflect on a community psychology setting, The Consultation Center at Yale, that was formed in response to the 1963 Community Mental Health Act and the 1965 Swampscott Conference. The Center has flourished as a community psychology setting for practice, research, and training for 39 of the 50 years since Swampscott. Its creation and existence over this period offers an opportunity for reflection on the types of settings needed to sustain the field into the future.
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Servicios Comunitarios de Salud Mental/organización & administración , Servicios Comunitarios de Salud Mental/tendencias , Trastornos Mentales/prevención & control , Psicología Social/organización & administración , Psicología Social/tendencias , Trastornos Relacionados con Sustancias/prevención & control , Connecticut , Curriculum/tendencias , Educación Médica/organización & administración , Educación Médica/tendencias , Predicción , Personal de Salud/educación , Humanos , Comunicación Interdisciplinaria , Colaboración Intersectorial , Mentores/educación , Psicología Social/educación , Derivación y Consulta/organización & administración , Derivación y Consulta/tendencias , Facultades de Medicina/organización & administración , Facultades de Medicina/tendenciasRESUMEN
INTRODUCTION: Research has shown that adults perceive that electronic cigarettes (e-cigarettes) are effective for smoking cessation, yet little is known about adolescents and young adults' perceptions of e-cigarettes for quitting cigarette smoking. This study describes middle, high school, and college students' beliefs about, and experiences with, e-cigarettes for cigarette smoking cessation. METHODS: We conducted 18 focus groups (n = 127) with male and female cigarette smokers and nonsmokers in 2 public colleges, 2 high schools, and 1 middle school in Connecticut between November 2012 and April 2013. Participants discussed cigarette smoking cessation in relation to e-cigarettes. Verbatim transcripts were analyzed using thematic analysis. RESULTS: All participants, regardless of age and smoking status, were aware that e-cigarettes could be used for smoking cessation. College and high school participants described different methods of how e-cigarettes could be used for smoking cessation: (a) nicotine reduction followed by cessation; (b) cigarette reduction/dual use; and (c) long-term exclusive e-cigarette use. However, overall, participants did not perceive that e-cigarette use led to successful quitting experiences. Participants described positive attributes (maintenance of smoking actions, "healthier" alternative to cigarettes, and parental approval) and negative attributes (persistence of craving, maintenance of addiction) of e-cigarettes for cessation. Some college students expressed distrust of marketing of e-cigarettes for smoking cessation. CONCLUSIONS: Adolescent and young adult smokers and nonsmokers perceive that there are several methods of using e-cigarettes for quitting and are aware of both positive and negative aspects of the product. Future research is needed to determine the role of e-cigarettes for smoking cessation in this population.
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Sistemas Electrónicos de Liberación de Nicotina/psicología , Conocimientos, Actitudes y Práctica en Salud , Cese del Hábito de Fumar/psicología , Adolescente , Factores de Edad , Connecticut/epidemiología , Femenino , Grupos Focales , Humanos , Estudios Longitudinales , Masculino , Mercadotecnía/métodos , Nicotina/administración & dosificación , Instituciones Académicas , Fumar/epidemiología , Cese del Hábito de Fumar/métodos , Prevención del Hábito de Fumar , Estudiantes/psicología , Tabaquismo/epidemiología , Tabaquismo/rehabilitación , Universidades , Adulto JovenRESUMEN
The present study investigated the impact of a manualized high school transition program, the Peer Group Connection (PGC) program, on the graduation rate at a low-income, Mid-Atlantic high school. The program utilized twelfth grade student peer leaders to create a supportive environment for incoming ninth grade students. Results of a randomized control trial demonstrated that male students who participated in the program during ninth grade were significantly more likely to graduate from high school within four years than male students in the control group (81% versus 63%). Findings suggest that peers can be effective in delivering a school-based, social emotional learning intervention and that it is possible to intervene in the ninth grade to influence the probability of high school graduation.
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INTRODUCTION: Preventing nicotine use among youth is a public health priority. Nicotine use emerges from complex relationships between numerous factors. This project used network analysis to model behavioral precursors of nicotine use (knowledge, attitudes, perceptions, intentions) among youth who had never used nicotine and determine which predicted future trajectories of use across multiple nicotine products. METHODS: Data were from the Population Assessment of Tobacco and Health study (2013-2018; analyzed 2023-2024), youth ages 12-17, who reported never using nicotine at Wave 1. Network structure was determined for behavioral precursors at Wave 1 and central network nodes were identified (N=5,087). Central nodes were then tested as predictors of trajectories of use across multiple nicotine products during Waves 1-4 (N=3,851). RESULTS: Central nodes of the Wave 1 network were harm perception, expectancy that tobacco would calm anger/reduce stress, and intention to try. Those with lower intent to try at Wave 1 had lower odds of being in an Experimentation or Use class versus a Nonuse class during Waves 1-4 (p<0.0001). Those with more accurate harm perception had lower odds of being in an Experimentation versus Nonuse class (p=0.004). Those with positive expectancies had higher odds of being in an Experimentation versus Nonuse or Use class (p=0.04, 0.02). CONCLUSIONS: Findings suggest a network model of behavioral precursors of nicotine use that can be tested, including central nodes that predicted trajectories of use across multiple nicotine products, and therefore may be priority intervention targets.
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Intención , Humanos , Adolescente , Femenino , Masculino , Niño , Conocimientos, Actitudes y Práctica en Salud , Conducta del Adolescente/psicología , Productos de Tabaco/estadística & datos numéricos , Nicotina/administración & dosificaciónRESUMEN
Importance: Multiple nicotine product use (MNPU) among youths is a significant public health concern. Much remains unknown about the patterns of MNPU in youths, including how socioecological factors influence trajectories of MNPU, which may inform targeted prevention. Objective: To identify longitudinal trajectories of MNPU and characterize them according to socioecological factors associated with tobacco use. Design, Setting, and Participants: This US-based longitudinal survey study used data from waves 1 (September 12, 2013, to December 14, 2014) through 4 (December 1, 2016, to January 3, 2018) of the Population Assessment of Tobacco and Health (PATH) study. Participants included 10â¯086 youths (aged 12-17 years) at wave 1, with follow-up data at waves 2 to 4 (assessed approximately 1 year apart) in the youth or adult data sets. Data were analyzed from January 15, 2020, to December 22, 2021. Exposures: Socioecological factors at wave 1. Main Outcomes and Measures: Outcome variables were days of use in the past 30 days of 4 products: cigarettes, e-cigarettes, cigars, and smokeless tobacco. Factors associated with use of the nicotine products that were collected at wave 1 included sociodemographic factors, internalizing and externalizing symptoms, living with a tobacco user, rules about tobacco use at home, conversations with parents about not using tobacco, tobacco accessibility, and exposure to advertising. Multitrajectory latent class growth analysis was used to identify distinct subgroups with similar patterns of use over time. Multinomial logistic regression models were used to investigate factors associated with class membership. Weights were applied to all data except frequencies to account for the complex survey design. Results: Of the 10â¯086 youths included in the analysis, 5142 (51.2%) self-identified as male; 4792 (54.7%) were non-Hispanic White; and 5315 (50.6%) were aged 12 to 14 years. Six latent trajectory classes were identified: nonuse (8056 [78.2%]), experimentation (908 [9.8%]), increasing e-cigarette/cigarette use (359 [4.0%]), increasing cigarette/cigar use (320 [3.3%]), decreasing cigarette/e-cigarette/cigar use (302 [3.2%]), and stable smokeless tobacco/cigarette use (141 [1.6%]). Compared with the nonuse class, being older (odds ratio [OR] range, 2.54 [95% CI, 1.94-3.32] to 9.49 [95% CI, 6.03-14.93]), being female (OR range, 0.06 [95% CI, 0.03-0.14] to 0.71 [95% CI, 0.53-0.94]), living with a tobacco user (OR range, 1.43 [95% CI, 1.11-1.83] to 4.94 [95% CI, 3.43-7.13]), and having relaxed rules about noncombustible tobacco product use at home (OR range, 1.41 [95% CI, 1.02-1.94] to 3.42 [95% CI, 1.74-6.75]) were associated with classification in all the use classes. A high degree of difficulty accessing tobacco was associated with lower odds of membership in the increasing cigarette/cigar use vs nonuse classes (OR, 0.62 [95% CI, 0.40-0.98]). Conclusions and Relevance: These survey results highlight the heterogeneity of longitudinal pathways of MNPU in US youths and suggest directions for future prevention and regulatory efforts directed at tobacco use behaviors in this population.
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Sistemas Electrónicos de Liberación de Nicotina , Productos de Tabaco , Adolescente , Adulto , Femenino , Humanos , Masculino , Nicotina , Encuestas y Cuestionarios , Nicotiana , Uso de Tabaco/epidemiologíaRESUMEN
INTRODUCTION: Menthol cigarette use contributes to disproportionate tobacco-related health disparities amongst minoritized race/ethnic groups. E-cigarettes are available in flavors such as menthol and may be a less harmful substitute among adults who smoke. Yet little is known about e-cigarette flavor preference and reasons for use by race/ethnicity among adults who smoke menthol cigarettes. METHODS: Nationally representative PATH wave 4 adult data (Dec. 2016-Jan. 2018) were used to examine how menthol cigarette status and race/ethnicity were associated with past 30-day e-cigarette use, flavors used, and reasons for use with adjusted logistic regression models. RESULTS: Menthol (vs. non-menthol) cigarette use was associated with higher odds of e-cigarette use (AOR=1.33, 95%CI=1.16-1.52). However, non-Hispanic (NH) Black and Hispanic individuals (vs. NH White) had lower odds of e-cigarette use (p's ≤ 0.004). In terms of flavor used, adults smoking menthol cigarettes and NH Black and Hispanic individuals had greater odds of using menthol/mint-flavored e-cigarettes (p's ≤ 0.02), and older adults (vs. 18-24-year-olds) had lower odds of using sweet-flavored e-cigarettes (p's < 0.0001). Regarding reasons for use, adults smoking menthol cigarettes had higher odds of reporting using e-cigarettes due to liking flavors (AOR=1.63, 95%CI=1.30-2.04), while NH Black adults had lower odds of liking flavors (AOR=0.64, 95%CI=0.43-0.96), and Hispanic adults had lower odds of using e-cigarettes to cut down on cigarette smoking (AOR=0.59, 95%CI=0.42-0.83). CONCLUSIONS: Findings suggest menthol flavored e-cigarettes may be important for adults who smoke menthol cigarettes, although racial disparities in current e-cigarette use and reasons for use may exacerbate tobacco-related health disparities.
Asunto(s)
Sistemas Electrónicos de Liberación de Nicotina , Productos de Tabaco , Vapeo , Anciano , Aromatizantes , Humanos , Mentol , NicotianaRESUMEN
INTRODUCTION: Given high youth e-cigarette use, it is important to investigate how traits, like impulsivity, may be associated with youth e-cigarette use behaviors. The study aim is to determine if impulsivity is associated with trying more e-cigarette flavors and device types, and greater frequency of e-cigarette use. METHOD: Cross sectional survey data from CT high schoolers (nâ¯=â¯4875, 6 schools) were collected in 2019. Lifetime (ever) e-cigarette users (nâ¯=â¯2313) completed the Brief Barrett Impulsivity Scale, which contains two subscales; behavioral impulsivity and impaired self-control. Among lifetime users, associations between impulsivity subscales and number of e-cigarette flavors tried, e-cigarette devices tried, and past 30-day frequency of e-cigarette use were examined using regression models. Additionally, associations of impulsivity and use frequency were examined among only current e-cigarette users (≥1 day of use in past 30; nâ¯=â¯1327). School, age, race/ethnicity, vaping initiation age, other tobacco product use, and sex were included as covariates in models. RESULTS: Higher behavioral impulsivity was associated with greater number of e-cigarette flavors tried (AOR: 1.06, 95% CI: 1.02, 1.11, pâ¯<.008) and higher frequency of past 30-day use both among ever and current e-cigarette users (AOR: 1.26, 95%CI:1.10,1.44, pâ¯<.001; AOR: 1.12, 95%CI:1.02,1.22, pâ¯<.02), but not number of e-cigarette devices tried. Impaired self-control was not associated with any outcomes. CONCLUSION: Youth with higher behavioral impulsivity may be more at risk for using more e-cigarette flavors and using e-cigarettes more frequently. Regulations aimed at reducing flavor availability among youth and interventions targeting impulsive behavior may be important for this population.
RESUMEN
The purpose of this study is to evaluate the association of electronic nicotine product (ENP) use and its respiratory manifestations in a nationally representative sample of adolescents in the US. Cross-sectional evidence from 9750 adolescents in wave 3 (October 2015-October 2016) of the Population Assessment of Tobacco and Health (PATH) survey was used. Adjusting for demographics, lifetime number of cigarettes and cigars used, home rules about tobacco use, and tobacco used by other household members, we used logistic regression models to examine associations between ENP use and its respiratory manifestations in the past year. Among 9750 adolescents, 12% (n = 1105) used ENP in the past year. Compared to non-users, past-year ENP-users had 37% higher odds of wheezing in general (Adjusted Odds Ratio (AOR) = 1.37, 95% Confidence interval (CI): 1.11-1.71, p = 0.005) and higher odds of wheezing 4-12 times or >12 times per year versus no wheezing (AOR = 1.57, 95% CI: 1.01-2.46, p = 0.05 and AOR = 2.58, 95% CI: 1.04-6.41, p = 0.04, respectively). Additionally, odds of dry cough at night were 23% higher among ENP-users than among non-users (AOR = 1.23, 95% CI: 1.04-1.46, p = 0.02). There was no association between past-year ENP use and exercise-induced wheezing or asthma diagnosis. Among those with asthma, there was no evidence of an association between ENP use and long-acting inhaler or quick-relief inhaler use. ENP use among adolescents is associated with increased frequency of wheezing and dry cough. Early recognition of pulmonary clinical manifestations among young ENP users should be critical considerations in regulatory and prevention efforts to protect public health, and clinical efforts to prevent progression to serious pulmonary complications.
Asunto(s)
Sistemas Electrónicos de Liberación de Nicotina , Productos de Tabaco , Vapeo , Adolescente , Estudios Transversales , Humanos , Nicotiana , Estados Unidos/epidemiología , Vapeo/efectos adversosRESUMEN
INTRODUCTION: E-liquid flavor is typically presented by flavor category (e.g. menthol, mint, fruit, dessert). Cooling sensations produced by flavor additives such as menthol enhance appeal of e-cigarettes among youth, but not all e-liquids that produce cooling sensations are labeled as menthol. Sensory experiences produced by flavors may allow for a new way to capture e-cigarette flavor use. This study aims to examine use of flavors that produce cooling sensations among youth and its association with e-cigarette use behaviors. METHODS: A 2019 survey of high school students (n = 4875) examined use of e-cigarette flavors that produced cooling sensations (cooling flavors) among past 30-day e-cigarette users. E-cigarette use behaviors (flavor use, nicotine use, frequency of use) were examined between those who did and did not use cooling flavors. A binary logistic regression was used to examine associations between vaping frequency, nicotine (vs. non-nicotine) use, and vaping cooling flavors while controlling for demographics, number of flavors vaped in the past month, and vaping age of onset. RESULTS: 51.6% (n = 473/916) of the analytic sample endorsed vaping cooling flavors. There were no demographic differences by vaping cooling flavors. Vaping cooling flavors was associated with vaping more frequently (AOR:1.04,95% CI:1.03,1.05) and vaping nicotine (AOR:2.37,95% CI:1.53,3.67). CONCLUSION: Vaping cooling flavors was associated with greater nicotine vaping and frequency of e-cigarette use. Assessing sensory experience, such as cooling, in addition to flavor category may more fully capture e-cigarette flavor use and its impacts on youth e-cigarette use behaviors.