Behavioral precursors of nicotine product use trajectories among youth.

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=5087). Central nodes were then tested as predictors of trajectories of use across multiple nicotine products during Waves 1-4 (N=3851). 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 vs a Nonuse class during Waves 1-4 (p<.0001). Those with more accurate harm perception had lower odds of being in an Experimentation vs Non-use class (p=.004). Those with positive expectancies had higher odds of being in an Experimentation vs Non-use or Use class (p=.04,.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.

Socioecological factors associated with multiple nicotine product use among U.S. youth: Findings from the population assessment of tobacco and health (PATH) study 2013-2018.

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.

The first nicotine product tried is associated with current multiple nicotine product use and nicotine dependence among a nationally representative sample of U.S. youths.

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.

Association of youth impulsivity and use of e-cigarette devices, flavors, and frequency of use.

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 (n = 4875, 6 schools) were collected in 2019. Lifetime (ever) e-cigarette users (n = 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; n = 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, p <.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, p <.001; AOR: 1.12, 95%CI:1.02,1.22, p <.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.

Longitudinal associations between flavored tobacco use and tobacco product cessation in a national sample of adults.

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.

Examining the potential role of e-cigarettes to reduce health disparities associated with menthol cigarette use: Characterizing e-cigarette use, flavors, and reasons for use among US adults smoking menthol cigarettes.

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.

Longitudinal Trajectories of Multiple Nicotine Product Use Among Youths in the Population Assessment of Tobacco and Health Study.

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 10 086 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 10 086 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.

Cross-substance patterns of alcohol, cigarette, and cannabis use initiation in Black and White adolescent girls.

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.

Coronavirus Pandemic Anxiety Scale (CPAS-11): development and initial validation.

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.

Cooling e-cigarette flavors and the association with e-cigarette use among a sample of high school students.

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.

Association of Vaping and Respiratory Health among Youth in the Population Assessment of Tobacco and Health (PATH) Study Wave 3.

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.

Trends in various e-cigarette devices used by high school adolescents from 2017-2019.

BACKGROUND: Adolescent e-cigarette use has increased recently; however, little is known about trends in use of specific devices by youth. This study aims to 1) compare rates of e-cigarette device use over time, 2) examine changes in frequency of device use, and 3) identify predictors of device use. METHODS: Cross-sectional surveys were distributed school-wide across 4 diverse Connecticut high-schools in 2017, 2018, 2019 and assessed current (i.e., past-30-day) use of various e-cigarette devices: disposables/cig-a-likes, vape pens, mods, JUULs, and other rechargeable pod devices (added in 2018 and 2019). Analyses compared rates of device use and frequency (i.e., number of days used in past 30) over time. Multivariable logistic regression models examined demographic and tobacco use characteristics (e.g., age first trying e-cigarettes) as predictors of current use of each device type in 2019. RESULTS: From 2017-2019, rates of using JUUL, disposables/cig-a-likes, and vape pens increased significantly, while use of mods and other pod devices decreased (ps<.001). Over 59 % of youth reported using more than one e-cigarette device in 2019. Over time, more youth were frequent users (using ≥20 out of 30 days) of disposable/cig-a-likes (32 % to >46 %) and JUUL (28 % to >35 %) devices. In multivariable models, first trying e-cigarettes at a younger age was associated with current use of disposable/cig-a-like, vape pens, mods, and other rechargeable pod devices. CONCLUSIONS: From 2017-2019, JUUL, disposable/cig-a-like, and vape pens increased in popularity and were used frequently. Tobacco regulations designed to reduce youth use should consider various device types.