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.

Tobacco use among in-school young adolescents in Indonesia: Exploring availability, affordability, and accessibility.

The research on Indonesian adolescents' perception of tobacco control in schools is limited. This study aimed to explore the availability, affordability, and accessibility of tobacco among young adolescents in Yogyakarta Municipality, Indonesia, with a focus on advocating for school teenagers. Focus groups, comprising participants from diverse backgrounds and stakeholders, were conducted in Yogyakarta, Indonesia, to systematically collect varied data. The subsequent analysis employed a robust thematic approach, combining both inductive and deductive processes to ensure a nuanced exploration of emerging patterns and pre-existing frameworks. In addition to focus group data, the study incorporated insights from extensive field observations and research group discussions. The multifaceted approach enhanced the depth of analysis but also facilitated a comprehensive understanding of the complex dynamics. The findings of this study revealed that young adolescents found it extremely easy to purchase cigarettes from local markets. The smoking prevalence among young adolescents was relatively low, with only 10% of the respondents admitting to smoking. Although the Indonesian government has increased surveillance and regulations regarding smoking among young individuals, the actual implementation and effectiveness of these measures remain questionable. The existing anti-smoking approaches in Indonesia have been unsuccessful in curbing smoking among Indonesian school students. The study argues that it is crucial to recognize and value students' perceptions of smoking, as their knowledge of smoking is actively constructed. To address this issue, future anti-smoking education in schools should incorporate interactive sessions rather than solely relying on didactic approaches that highlight the harms of smoking. By engaging students in interactive discussions, they can actively participate in constructing their understanding of the consequences of smoking. Additionally, efforts should be made to enhance the implementation of tobacco control measures within schools and extend the reach of these measures to off-campus environments.

Time to first report of signs of nicotine dependence among youth who use e-cigarettes and cigarettes in the United States: A nationally representative cohort study, findings from the Population Assessment of Tobacco and Health, 2013-2019.

OBJECTIVE: To determine the time to first report of signs of nicotine dependence among youth exclusive e-cigarette users and compare this time to that for exclusive cigarette users. METHODS: Secondary analysis of data (Waves 1-5; 2013-2019) from the Population Assessment of Tobacco and Health was conducted. Youth never tobacco users in the United States who reported exclusive past-30-day (P30D) e-cigarette or cigarette use (n = 2940, N = 5,391,642) in at least one wave were included in the current analysis. Survival analysis was used to estimate the time to the first report of three nicotine dependence indicators (i.e., "use within 30 minutes of waking"; "cravings" and "really needing to use") following the first report of P30D use. Multivariable Cox proportional hazard models were used to estimate adjusted hazard ratios (aHR). RESULTS: There were no significant differences in the time to first report of "use within 30 minutes of waking" (aHR = 1.1, 95% CI = 0.87-1.40) and "cravings" (aHR = 1.09, 95% CI = 0.81-1.47) between exclusive P30D e-cigarette use and exclusive P30D cigarette use. However, compared to exclusive P30D e-cigarette use, the hazard of first reporting "really needing to use" tobacco was 39% (aHR 1.39; 95% CI: 1.05-1.84) times higher for those who reported exclusive P30D cigarette use after controlling for covariates. CONCLUSION: Compared to exclusive P30D cigarette use, no differences in the time to first report of signs of nicotine dependence ("use within 30 minutes" and "cravings") were observed among exclusive P30D e-cigarette users. Policymakers and regulatory agencies should consider this evidence when assessing the abuse liability of e-cigarette products.

Evolving Disparities in Cannabis Use Among Youth by Demographics and Tobacco and Alcohol Use in the U.S.: 2013-2021.

INTRODUCTION: This study investigated the prevalence of past 30-day cannabis use among U.S. youth by cigarette use, alcohol use, demographics, and state-of-residence cannabis legal status in 2021 and examined whether changes in cannabis use prevalence were modified by these factors from 2013 to 2021. METHODS: Data were drawn from the 24 states that collected cannabis use data participating in the Youth Risk Behavior Surveillance System from 2013 to 2021. Logistic regression analyses estimated past 30-day cannabis prevalence in 2021 and produced AORs by current cigarette, alcohol, and state-of-residence cannabis legal status. The same method was used with year as the exposure, adjusting for sex, race, and ethnicity, to assess trends in prevalence from 2013 to 2021. RESULTS: In 2021, cannabis use was more common among female youth (16.75% vs 13.83% [AOR=1.26, 95% CI=1.16, 1.37]) and non-Hispanic Black and Hispanic youth than among non-Hispanic White youth (17.19%, 16.14% vs 14.60% [AOR=1.25, 95% CI=1.12, 1.39 and AOR=1.16, 95% CI=1.04, 1.29, respectively]). Cannabis use was much more common among youth who reported any past 30-day cigarette or alcohol use (44.90% vs 6.48% [AOR=11.80, 95% CI=10.57, 13.18]). Declines in cannabis use were observed independent of state-level cannabis law from 2013 to 2021, and cannabis use prevalence did not differ significantly by state-of-residence cannabis legal status among the 24 participating states in 2021. CONCLUSIONS: Public health officials should carefully consider the potential impact of expanding commercialization of cannabis as a wellness product on youth cannabis use, especially with regard to minoritized populations and co-use with tobacco and alcohol. National and state-level public health education on cannabis use and youth-oriented prevention of cannabis uptake are long overdue.

Discrimination and Tobacco Use Outcomes Among US Adults: Effect Modification by Race/Ethnicity.

INTRODUCTION: Racial/ethnic discrimination (hereafter, discrimination) is associated with tobacco use. However, little is known about the relationship between discrimination and dual/polytobacco use and tobacco use disorder (TUD), including how these relationships vary by race/ethnicity. METHODS: Data on adults 18 and older come from the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions-III (n = 35,881). Past-year discrimination was measured using the Experiences of Discrimination scale. Past 30-day exclusive, dual, and polytobacco use was measured as the mutually exclusive use of any combination of four types of tobacco products: cigarettes, electronic nicotine delivery systems, other combustibles (i.e., cigars and pipe), and smokeless tobacco. Past-year TUD was defined according to DSM-5 criteria. Associations between discrimination and exclusive, dual, and polytobacco use and discrimination and TUD were estimated using multinomial logistic regression and logistic regression, respectively. Models were stratified by race/ethnicity (i.e., Hispanic, non-Hispanic (NH) White, NH Black, another race/ethnicity) to assess effect modification. RESULTS: Adults who used tobacco and who had TUD was 24.2% and 19.2%, respectively. More discrimination was associated with higher odds of exclusive, dual, and polytobacco use as well as TUD. Models stratified by race/ethnicity suggest that discrimination was associated with dual/polytobacco use among NH Black adults (OR: 1.05, 95% CI: 1.002-1.11) and NH White adults (OR: 1.18, 95% CI: 1.13-1.22). While more discrimination was associated with TUD among all racial/ethnic groups, the relationship was the strongest for NH White adults. CONCLUSIONS: Discrimination was associated with more severe tobacco use outcomes among multiple racial/ethnic groups, but associations were the strongest for NH White adults.

Sexual and Gender Identity Disparities in Nicotine and Tobacco Use Susceptibility and Prevalence: Disaggregating Emerging Identities Among Adolescents From California, USA.

INTRODUCTION: Prior studies report nicotine/tobacco use disparities for sexual and gender minority (SGM) youth but have insufficiently characterized SGM identity diversity. AIMS AND METHODS: Adolescents (mean age = 15.2) from 11 high schools in Southern California completed surveys in Fall 2021. Ever use of combustible (cigarettes, cigars, hookah) and noncombustible (e-cigarettes, e-hookah, heated tobacco, smokeless/snus, oral nicotine) nicotine/tobacco (among overall sample, n = 3795) and susceptibility to future initiation of cigarettes, e-cigarettes, and flavored non-tobacco oral nicotine (among n = 3331 tobacco-naïve youth) were compared across four gender (male/masculine, female/feminine, transgender male/female, non-binary) and seven sexual (heterosexual, bisexual, pansexual, queer, questioning, gay/lesbian, asexual) identities. RESULTS: Non-binary (vs. cisgender male) youth had greater prevalence of ever combustible (prevalence ratio [PR] = 2.86, 95% confidence intervals (CI): 1.76 to 4.66) and non-combustible (PR = 1.94, 95% CI: 1.31 to 2.86) nicotine/tobacco use, and susceptibility to future nicotine/tobacco initiation (PR range = 2.32-2.68). Transgender (vs. cisgender male) youth had greater susceptibility to nicotine/tobacco use (PR range = 1.73-1.95), but not greater tobacco use prevalence. There was greater prevalence of non-combustible nicotine/tobacco use (PR range = 1.78-1.97) and susceptibility to nicotine/tobacco initiation (PR range = 1.36-2.18) for all sexual minority (vs. heterosexual) identities, except for asexual. Bisexual (PR = 2.03, 95% CI: 1.30 to 3.16) and queer (PR = 2.87, 95% CI: 1.31 to 6.27) youth had higher ever combustible tobacco use than heterosexual youth. Questioning (vs. heterosexual) youth were more susceptible to future tobacco initiation (PR range = 1.36-2.05) but did not differ in ever use. CONCLUSIONS: Disparities in nicotine/tobacco use and susceptibility were present with similar effect sizes across most, but not all, SGM identities. Inclusive measurement of SGM identities in research and surveillance may inform more precise tobacco control efforts to reduce disparities. IMPLICATIONS: Among high school students from Southern California with substantial diversity in sexual and gender identities, there was greater prevalence of tobacco use and susceptibility to future tobacco initiation for most, but not all, sexual and gender minority youth, including those with emerging sexual and gender identities such as non-binary, queer and pansexual. Additionally, findings indicate that tobacco control initiatives targeting youth who are questioning their sexual identities may be particularly important for preventing tobacco use initiation. This study reinforces the importance of measuring diversity within the LGBTQ + community for tobacco use research, and highlights how inclusive measurement can inform more precise tobacco control interventions.

Improving Prediction of Tobacco Use Over Time: Findings from Waves 1-4 of the Population Assessment of Tobacco and Health Study.

INTRODUCTION: First-order Markov models assume future tobacco use behavior is dependent on current tobacco use and are often used to characterize patterns of tobacco use over time. Higher-order Markov models that assume future behavior is dependent on current and prior tobacco use may better estimate patterns of tobacco use. AIMS AND METHODS: This study compared Markov models of different orders to examine whether incorporating information about tobacco use history improves model estimation of tobacco use and estimated tobacco use transition probabilities. We used data from four waves of the Population Assessment of Tobacco and Health Study. In each Wave, a participant was categorized into one of the following tobacco use states: never smoker, former smoker, menthol cigarette smoker, non-menthol cigarette smoker, or e-cigarette/dual user. We compared first-, second-, and third-order Markov models using multinomial logistic regression and estimated transition probabilities between tobacco use states. `RESULTS: The third-order model was the best fit for the data. The percentage of former smokers, menthol cigarette smokers, non-menthol cigarette smokers, and e-cigarette/dual users in Wave 3 that remained in the same tobacco use state in Wave 4 ranged from 63.4% to 97.2%, 29.2% to 89.8%, 34.8% to 89.7%, and 20.5% to 80.0%, respectively, dependent on tobacco use history. Individuals who were current tobacco users, but former smokers in the prior two years, were most likely to quit. CONCLUSIONS: Transition probabilities between tobacco use states varied widely depending on tobacco use history. Higher-order Markov models improve estimation of tobacco use over time and can inform understanding of trajectories of tobacco use behavior. IMPLICATIONS: Findings from this study suggest that transition probabilities between tobacco use states vary widely depending on tobacco use history. Tobacco product users (cigarette or e-cigarette/dual users) who were in the same tobacco use state in the prior two years were least likely to quit. Individuals who were current tobacco users, but former smokers in the prior two years, were most likely to quit. Quitting smoking for at least two years is an important milestone in the process of cessation.

National and regional economic inequalities in first- and second-hand tobacco consumption among women of reproductive ages in Iran.

INTRODUCTION: The epidemic of tobacco consumption is one of the major public health threats the world has been facing so far. This study was performed to investigate the economic inequalities in tobacco consumption among women of reproductive ages at national and regional levels in Iran. METHODS: We used data from 10,339 women of reproductive ages (18-49 years) who participated in Iran's 7th Non-Communicable Disease Risk Factor Surveillance (STEPS). Wagstaff normalized concentration index and decomposition method were applied to measure economic inequalities in first- and second-hand tobacco consumption and determine their corresponding contributory factors, respectively. RESULTS: The prevalence of women's first-hand tobacco consumption, and their exposure to second-hand smoke in the home, and workplace were 3.6%, 28.3%, and 8.4%, respectively. First- and second-hand tobacco consumption was significantly more concentrated among low-economic women. Exposure to home second-hand smoke, education, and economic status had the largest contributions to the measured inequality in first-hand tobacco consumption (48.9%, 38.9%, and 30.8%, respectively). The measured inequality in women's secondhand smoke exposure at home was explained by their level of education (43.8%), economic status (30.3%), and residency in rural areas (18%), and at work by residency in rural areas (42.2%), economic status (38.8%), and level of education (32%). Our results also revealed diversity in the geographical distribution of inequalities in rural and urban areas and five regions of the country. CONCLUSION: The present study highlighted the need for more enforcement of tobacco control rules and increasing tobacco taxes as general measures. Furthermore, there is a need for gender-sensitive initiatives at national and regional levels to educate, support, and empower low-economic women and households for tobacco cessation, and complying with restrictive smoking rules.

Urban and social determinants of alcohol and tobacco consumption among adolescents in Madrid.

OBJECTIVE: This study aims to describe the accessibility to and promotion of alcohol and tobacco around secondary schools in Madrid and its distribution in relation with area-level socioeconomic deprivation; analyze the relationship between this exposure and individual consumption characteristics of students between 14 and 18 years old; and explore other facilitators of this consumption. METHOD: Mixed-methods study conducted in three phases: 1) we collected data on accessibility to and promotion of alcohol and tobacco in the environment using systematic social observation around 55 secondary schools; 2) we administered 2287 questionnaires among the students in these centers to gather information about characteristics and determinants of consumption; and 3) we conducted 20 semi-structured interviews and one discussion group to deepen in the results obtained in surveys and systematic social observation. We will use Geographic Information Systems to integrate and analyze the data from a spatial perspective.

Black Americans' Diminished Return of Educational Attainment on Tobacco Use in Baltimore City.

BACKGROUND: Socioeconomic status (SES) indicators such as educational attainment are fundamental factors affecting health. One mechanism through which education affects health is by reducing the likelihood of engaging in high-risk behaviors such as smoking. However, according to the marginalization-related diminished returns (MDRs) theory, the association between education and health may be weaker for marginalized populations such as Black than White, primarily due to racism and discrimination. However, little is known about the racial variations in the differential associations between educational attainment and tobacco use in a local setting. AIM: This study aimed to investigate the differential association between educational attainment and tobacco use among racial groups in a community sample in Baltimore City. METHODS: This cross-sectional study used data from a community survey conducted in 2012-2013 in Baltimore City among adults aged 18 years or older. The participants were 3501 adults. Univariate, bivariate, and logistic regression analyses were performed using Stata to investigate the racial difference in the association between education and two outcomes: current smoking status and menthol tobacco product use. RESULTS: The study found that adults with a graduate degree were less likely to be current smokers (adjusted odds ratio [AOR]: 0.10, 95% confidence interval [CI]: 0.08-0.13) and menthol tobacco users (AOR: 0.10, 95% CI: 0.07-0.14) compared to those with less than high school diploma. The inverse associations between educational attainment and current smoking (AOR: 1.83, 95% CI: 1.05-3.21) and menthol tobacco product use (AOR: 4.73, 95% CI: 2.07-10.80) were weaker for Back individuals than those who were White. CONCLUSION: Due to MDRs of educational attainment, while highly educated White adults show a low risk of tobacco use, educated Black adults remain at a disproportionately increased risk. The study emphasizes the need for better policies and programs that address minorities' diminished return of education for tobacco use.

The Global, Regional, and National Burden of Adult Lip, Oral, and Pharyngeal Cancer in 204 Countries and Territories: A Systematic Analysis for the Global Burden of Disease Study 2019.

Importance: Lip, oral, and pharyngeal cancers are important contributors to cancer burden worldwide, and a comprehensive evaluation of their burden globally, regionally, and nationally is crucial for effective policy planning. Objective: To analyze the total and risk-attributable burden of lip and oral cavity cancer (LOC) and other pharyngeal cancer (OPC) for 204 countries and territories and by Socio-demographic Index (SDI) using 2019 Global Burden of Diseases, Injuries, and Risk Factors (GBD) Study estimates. Evidence Review: The incidence, mortality, and disability-adjusted life years (DALYs) due to LOC and OPC from 1990 to 2019 were estimated using GBD 2019 methods. The GBD 2019 comparative risk assessment framework was used to estimate the proportion of deaths and DALYs for LOC and OPC attributable to smoking, tobacco, and alcohol consumption in 2019. Findings: In 2019, 370 000 (95% uncertainty interval [UI], 338 000-401 000) cases and 199 000 (95% UI, 181 000-217 000) deaths for LOC and 167 000 (95% UI, 153 000-180 000) cases and 114 000 (95% UI, 103 000-126 000) deaths for OPC were estimated to occur globally, contributing 5.5 million (95% UI, 5.0-6.0 million) and 3.2 million (95% UI, 2.9-3.6 million) DALYs, respectively. From 1990 to 2019, low-middle and low SDI regions consistently showed the highest age-standardized mortality rates due to LOC and OPC, while the high SDI strata exhibited age-standardized incidence rates decreasing for LOC and increasing for OPC. Globally in 2019, smoking had the greatest contribution to risk-attributable OPC deaths for both sexes (55.8% [95% UI, 49.2%-62.0%] of all OPC deaths in male individuals and 17.4% [95% UI, 13.8%-21.2%] of all OPC deaths in female individuals). Smoking and alcohol both contributed to substantial LOC deaths globally among male individuals (42.3% [95% UI, 35.2%-48.6%] and 40.2% [95% UI, 33.3%-46.8%] of all risk-attributable cancer deaths, respectively), while chewing tobacco contributed to the greatest attributable LOC deaths among female individuals (27.6% [95% UI, 21.5%-33.8%]), driven by high risk-attributable burden in South and Southeast Asia. Conclusions and Relevance: In this systematic analysis, disparities in LOC and OPC burden existed across the SDI spectrum, and a considerable percentage of burden was attributable to tobacco and alcohol use. These estimates can contribute to an understanding of the distribution and disparities in LOC and OPC burden globally and support cancer control planning efforts.

Examining Racial/Ethnic and Income Disparities on Tobacco Product Use Among US Adults Within Wave 5 of the PATH Study.

OBJECTIVE: The aim of this study was to examine the interactions between race/ethnicity and income across different types of tobacco products. METHODS: The prevalence of past 30-day use of cigarettes, traditional cigars, cigarillos, filtered little cigars, and electronic nicotine delivery systems (ENDS) among adults was examined by race/ethnicity and income levels based on wave 5 (2018-2019) data of the Population Assessment of Tobacco and Health study. RESULTS: Multivariate analysis across race/ethnicity and income showed that, although non-Hispanic Blacks (NHBs) were significantly more than likely to smoke cigarettes than non-Hispanic Whites (NHWs) at low- and high-income levels, such disparity only applied to low-income Hispanics compared with low-income NHWs. NHBs were significantly more likely to smoke traditional cigars, cigarillos, and filtered little cigars than NHWs at low and high incomes. No differences were found between Hispanics and NHWs with regard to traditional cigars and cigarillos. However, low-income Hispanics were significantly less likely to smoke filtered little cigars than NHWs, whereas high-income Hispanics were more likely to do so than NHWs. With regard to ENDS, significant differences were only found at the low-income bracket with NHBs and Hispanics being less likely to smoke these products than NHWs. CONCLUSIONS: Our findings highlight significant interactions between race/ethnicity and income in the use of tobacco products, suggesting that income should be taken into account when designing interventions targeting different racial/ethnic groups.

Changes in Tobacco Dependence and Association With Onset and Progression of Use by Product Type From Waves 1 to 3 of the Population Assessment of Tobacco and Health (PATH) Study.

INTRODUCTION: This study examined trajectories of tobacco dependence (TD) in relationship to changes in tobacco product use, and explored the effects of product-specific adding, switching, or discontinued use on dependence over time. AIMS AND METHODS: Data were analyzed from the first three waves from the Population Assessment of Tobacco and Health (PATH) Study, a nationally representative, longitudinal study of adults and youth in the United States. Data included 9556 wave 1 (2013-2014) adult current established tobacco users aged 18 or older who completed all three interviews and had established use at ≥2 assessments. Mutually exclusive groups included: users of cigarettes only, e-cigarettes only, cigars only, hookah only, any smokeless only, cigarette + e-cigarette dual users, and other multiple product users. A validated 16-item scale assessed TD across product users. RESULTS: People who used e-cigarettes exclusively at wave 1 had small increases in TD through wave 3. Wave 1 multiple product users' TD decreased across waves. TD for all other wave 1 user groups remained about the same. For wave 1 cigarette only smokers, switching to another product was associated with lower levels of TD than smokers whose use stayed the same. Movement to no established use of any tobacco product was consistently associated with lower TD for all product users. CONCLUSIONS: Except for wave 1 e-cigarette only users (who experienced small increases in TD), TD among U.S. tobacco product users was stable over time, with daily users less likely to vary from baseline. IMPLICATIONS: The level of TD among most U.S. tobacco users was stable over the first three waves of the PATH Study and trends in levels of TD were predominantly unrelated to changes in patterns of continued product use. Stable levels of TD suggest a population at persistent risk of health impacts from tobacco. Wave 1 e-cigarette users experienced small increases in levels of TD over time, perhaps due to increases in quantity or frequency of their e-cigarette use or increasing efficiency of nicotine delivery over time.

Pain is associated with exclusive use and co-use of tobacco and cannabis: Findings from Wave 5 (2018-2019) of the Population Assessment of Tobacco and Health Study.

INTRODUCTION: Rates of tobacco and cannabis use are disproportionately high among individuals with pain, and evidence suggests that pain may engender greater likelihood of substance co-use, yielding additive risk. This study examined national associations of pain with past-month tobacco use, cannabis use, and co-use of tobacco and cannabis. METHODS: Data came from a nationally representative US sample of adults in Wave 5 (2018-2019) of the Population Assessment of Tobacco and Health study (N = 32,014). The sample included civilian, non-institutionalized people who use tobacco and people who do not use tobacco. Past-week pain intensity (0-10) was dichotomized (0-4 no/low pain; 5-10 moderate/severe pain). Multinomial models adjusted for demographics examined substance use category membership (no tobacco or cannabis use, exclusive cannabis use, exclusive tobacco use, co-use) as a function of pain status. RESULTS: Moderate/severe pain was associated with increased relative risk of exclusive tobacco use (RRR [CI] 2.26 [2.05, 2.49], p <.001), exclusive cannabis use (1.49 [1.22, 1.82], p <.001), and co-use of tobacco and cannabis (2.79 [2.51, 3.10], p <.001), in comparison to no tobacco or cannabis use. Additionally, moderate/severe pain was associated with increased risk of co-use compared to exclusive tobacco use (1.23 [1.11, 1.37], p <.001) and exclusive cannabis use (1.88 [1.54, 2.29], p <.001). DISCUSSION: Findings suggest that not only is pain independently associated with greater risk of exclusively using tobacco or cannabis, but pain is also associated with heightened risk of co-using both products. Future work should examine the dynamic and potentially bidirectional relationships between pain and use of cannabis and tobacco.

Socioeconomic Inequalities in Alcohol and Tobacco Consumption: A National Ecological Study in Mexican Adolescents.

Alcohol and cigarettes are the psychoactive substances that adolescents use most frequently. When both addictions are combined, they carry the worst burden of disease globally. The objective of this study was to identify whether socioeconomic factors correlate with alcohol and tobacco consumption in Mexican adolescents aged 10 years or more and to establish the relationship in the consumption between the two substances. This ecological study utilized data describing alcohol and tobacco consumption among adolescents aged 10-16 years (n = 48,837 ≈ N = 11,621,100). Having ever consumed any alcohol-containing beverage constituted alcohol consumption. Smoking a cigarette within 30 days constituted cigarette consumption. For both variables, the state-level percentages reported in the survey were used. Diverse socioeconomic variables were collected from official sources. Data on the prevalence of tobacco use and alcohol consumption were entered into an Excel database estimated for each of the states of the Mexican Republic, as well as the socioeconomic variables. We performed the analysis using Stata 14. Consumption prevalence was 15.0% for alcohol and 4.2% for tobacco. Alcohol consumption was not correlated with any studied socioeconomic variable (p > 0.05). The prevalence of tobacco consumption among elementary school students correlated (p < 0.05) with the portion of the population living in private dwellings without sewage, drainage, or sanitation (r = 0.3853). The prevalence of tobacco consumption among middle-school adolescents correlated with the portion of the employed population that earned up to two minimum wages (r = 0.3960), the percentage in poverty by income 2008 (r = 0.4754) and 2010 (r = 0.4531), and the percentage in extreme poverty by income 2008 (r = 0.4612) and 2010 (r = 0.4291). Positive correlations were found between tobacco consumption and alcohol consumption among both elementary (r = 0.5762, p=0.0006) and middle-school children (r = 0.7016, p=0.0000). These results suggest that certain socioeconomic factors correlate with tobacco consumption but not alcohol consumption. A correlation between alcohol consumption and tobacco consumption was observed. The results can be used for developing interventions in adolescents.

Indicators of Tobacco Dependence Among Youth: Findings From Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health Study.

BACKGROUND: Prior work established a measure of tobacco dependence (TD) among adults that can be used to compare TD across different tobacco products. We extend this approach to develop a common, cross-product metric for TD among youth. METHODS: One thousand one hundred and forty-eight youth aged 12-17 who used a tobacco product in the past 30 days were identified from 13 651 youth respondents in Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study. FINDINGS: Analyses confirmed a single primary latent construct underlying responses to TD indicators for all mutually exclusive tobacco product user groups. Differential Item Functioning analyses supported the use of 8 of 10 TD indicators for comparisons across groups. With TD levels anchored at 0.0 (standard deviation [SD] = 1.0) among cigarette only (n = 265) use group, mean TD scores were more than a full SD lower for e-cigarette only (n = 150) use group (mean = -1.09; SD = 0.64). Other single product use group (cigar, hookah, pipe, or smokeless; n = 262) on average had lower TD (mean = -0.60; SD = 0.84), and the group with the use of multiple tobacco products (n = 471) experienced similar levels of TD (mean = 0.14; SD = 0.78) as the cigarette only use group. Concurrent validity was established with product use frequency among all user groups. A subset of five TD items comprised a common metric permitting comparisons between youth and adults. CONCLUSION: The PATH Study Youth Wave 1 Interview provided psychometrically valid measures of TD that enable future regulatory investigations of TD across tobacco products and comparisons between youth and adult tobacco product use group. IMPLICATIONS: A measure of tobacco dependence (TD) has been established previously among adults to compare TD across tobacco products. This study established the validity of a similar, cross-product measure of TD among youth. Findings suggest a single latent TD construct underlying this measure, concurrent validity of the scale with product use frequency across different types of tobacco users, and a subset of common items that can be used to compare TD between youth and adults who use tobacco.

Causal Effect of Education on Tobacco Use in Low-and-Middle-Income Countries.

INTRODUCTION: The prevalence of smoking is unequally distributed across certain groups. One significant dimension is education inequality, where higher smoking prevalence is generally observed in lower-educated groups. However, studies investigating educational inequality are mostly associative. Meanwhile, studies carrying out a causal investigation focus typically on developed countries. In this study, we consider a panel of low-and-middle-income countries (LMICs) to investigate the causal link between education and smoking behavior. AIMS AND METHODS: We use detailed micro-level household surveys for 12 LMICs where the duration of compulsory schooling has been extended. By identifying the individuals subject to higher compulsory schooling and using the exogenous variation in education caused by the increase in the duration of compulsory schooling, we estimate the causal impact of education on tobacco consumption. We rely on regression analysis to estimate the effect. RESULTS: Our results reveal that those subject to higher years of compulsory schooling have lower smoking-related outcomes, suggesting that higher education significantly lowers tobacco consumption in LMICs. The effect is primarily observed for women, where, for instance, higher compulsory schooling reduces the probability of smoking by 23% and the number of cigarettes smoked by 27%. CONCLUSIONS: The study's results establish the causal link between education and smoking behavior in LMICs. This significant impact suggests that education policy is still an important tool to help reduce tobacco consumption, especially in settings where the average level of education is not high initially. Moreover, discouraging men from smoking requires other measures to complement education policy. IMPLICATIONS: Education might help reduce tobacco consumption. However, studies-primarily for developed countries-find mixed results. This paper investigates the causal role of education on smoking in LMICs. Education reduces tobacco consumption, especially for women. Thus, education policy can be effective in low-education settings. Nonetheless, education policy should be accompanied by other policies to discourage men from smoking.

Investigating Tobacco Product Use Behavior Among Students Attending High Schools Within the Cherokee Nation Reservation.

Tobacco use is the leading cause of death in the United States and youth prevention is key to reducing tobacco use. American Indian/Alaska Native (AI/AN) individuals have a higher prevalence of tobacco use compared to other populations. This paper aims to evaluate the prevalence of tobacco products among youth within the Cherokee Nation reservation. Data from the 2019 Cherokee Nation Youth Risk Behavior Survey (YRBS) was used to analyze the prevalence of tobacco use (cigarettes, smokeless tobacco, electronic cigarettes, cigars, and ≥ 2 products) among students within Cherokee Nation. Weighted frequency and percentages were obtained for variables and 95% confidence intervals were computed using Taylor linearization variance estimators. Binary associations between variables were examined using the Rao-Scott Chi-square test. There were 1475 high students who participated in the 2019 Cherokee Nation YRBS. Males were more likely to report the use of smokeless tobacco and ≥ 2 products than females. Twelfth graders had a higher prevalence of reported e-cigarette use compared to lower grades. AI/AN students had a higher prevalence of current use of cigarettes and ≥ 2 products compared to other groups. The use of marijuana and alcohol was positively associated with the use of all tobacco products. Depression was also positively associated with the use of all products excluding smokeless tobacco. Grade, age, depression, and current use of other tobacco products, marijuana, and alcohol were associated with greater electronic cigarette intensity levels. Using the results, tribal and local organizations can promote evidence-based interventions that focus on reducing tobacco use among youth.

Are the Relevant Risk Factors Being Adequately Captured in Empirical Studies of Smoking Initiation? A Machine Learning Analysis Based on the Population Assessment of Tobacco and Health Study.

INTRODUCTION: Cigarette smoking continues to pose a threat to public health. Identifying individual risk factors for smoking initiation is essential to further mitigate this epidemic. To the best of our knowledge, no study today has used machine learning (ML) techniques to automatically uncover informative predictors of smoking onset among adults using the Population Assessment of Tobacco and Health (PATH) study. AIMS AND METHODS: In this work, we employed random forest paired with Recursive Feature Elimination to identify relevant PATH variables that predict smoking initiation among adults who have never smoked at baseline between two consecutive PATH waves. We included all potentially informative baseline variables in wave 1 (wave 4) to predict past 30-day smoking status in wave 2 (wave 5). Using the first and most recent pairs of PATH waves was found sufficient to identify the key risk factors of smoking initiation and test their robustness over time. The eXtreme Gradient Boosting method was employed to test the quality of these selected variables. RESULTS: As a result, classification models suggested about 60 informative PATH variables among many candidate variables in each baseline wave. With these selected predictors, the resulting models have a high discriminatory power with the area under the specificity-sensitivity curves of around 80%. We examined the chosen variables and discovered important features. Across the considered waves, two factors, (1) BMI, and (2) dental and oral health status, robustly appeared as important predictors of smoking initiation, besides other well-established predictors. CONCLUSIONS: Our work demonstrates that ML methods are useful to predict smoking initiation with high accuracy, identifying novel smoking initiation predictors, and to enhance our understanding of tobacco use behaviors. IMPLICATIONS: Understanding individual risk factors for smoking initiation is essential to prevent smoking initiation. With this methodology, a set of the most informative predictors of smoking onset in the PATH data were identified. Besides reconfirming well-known risk factors, the findings suggested additional predictors of smoking initiation that have been overlooked in previous work. More studies that focus on the newly discovered factors (BMI and dental and oral health status,) are needed to confirm their predictive power against the onset of smoking as well as determine the underlying mechanisms.

Social determinants of tobacco use among tribal communities in India: Evidence from the first wave of Longitudinal Ageing Study in India.

BACKGROUND: Evidence on tobacco use among indigenous communities is scarce with available literature based either on a specific region or a particular tribe. Considering the large tribal population in India, it is pertinent to generate evidence on tobacco use among this community. Using nationally representative data, we aimed to estimate the prevalence of tobacco use and assess its determinants and regional variations among older tribal adults in India. METHODS: We analysed data from Longitudinal Ageing Study in India (LASI), wave-1 conducted in 2017-18. A sample of 11,365 tribal individuals aged ≥ 45 years was included in this study. Descriptive statistics was used to assess the prevalence of smokeless tobacco (SLT), smoking, and any form of tobacco use. Separate multivariable regression models were executed to assess the association of various socio-demographic variables with different forms of tobacco use, reported as adjusted odds ratio (AOR) with 95% confidence interval. RESULTS: The overall prevalence of tobacco use was around 46%, with 19% of smokers and nearly 32% smokeless tobacco (SLT) users. Participants from the lowest MPCE quintile group had a significantly higher risk of consuming (SLT) [AOR: 1.41 (95% CI: 1.04-1.92)]. Alcohol was found to be associated with both smoking [AOR: 2.09 (95% CI: 1.69-2.58)] and (SLT) [AOR: 3.05 (95% CI: 2.54-3.66)]. Relatively higher odds of consuming (SLT) were associated with the eastern region [AOR: 6.21 (95% CI: 3.91-9.88)]. CONCLUSION: This study highlights the high burden of tobacco use and its social determinants among the tribal population in India, which can help tailor anti-tobacco messages for this vulnerable population to make tobacco control programs more effective.