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IntroductionCigars are currently the second-highest-used combustible tobacco product among U.S. adults, but knowledge about health effects of premium cigars versus other cigar subtype use is limited.Aims and methodsThis study analyzed the biospecimen data (n = 31 875) from Waves 1-5 of the Population Assessment of Tobacco and Health Study, collected during 2013-2019. Multivariable generalized estimation equations, accounting for within-person clustering, were conducted to examine differences in urine biomarkers of exposure (BOE) from five classes of harmful and potentially harmful constituents along with a biomarker of oxidative stress (urine 8-isoprostane) among exclusive users of premium cigars versus other exclusive cigar subtypes (ie, non-premium large cigars, cigarillos, and filtered cigars), cigarettes, and non-tobacco users.ResultsIn comparison to non-tobacco users, exclusive premium cigar users had higher geometric mean concentrations of the nicotine metabolite cotinine (5.8 vs. 0.5ng/mg, p

Sexual minority youth have a higher risk of suicidal behaviors than their straight peers. Despite this alarming trend, there is limited information on how health-risk factors are systematically associated with suicidal outcomes in relation to the intersection of sex and sexual orientation identity. Data from the 2017 Youth Risk Behavior Survey (Grades 9-12, N = 14,108) were analyzed to examine three distinct suicidal outcomes (i.e., suicidal ideation, suicide planning, and suicide attempt). Separate hierarchical logistic regression models were performed to gradually adjust for influencing factors in examining the association between suicidal outcomes and sexual orientation identity (i.e., heterosexual, gay/lesbian, bisexual, and unsure), stratified by self-reported sex. There exist significant differences in youth suicidal behaviors based on sexual orientation identity and sex: lesbians (adjusted odds ratio [AOR] = 2.7, 95% CI [1.5, 5.0]), bisexual girls (AOR = 1.9, 95% CI [1.3, 2.6]) and bisexual boys (AOR = 2.6, 95% CI [1.3, 5.2]) had higher odds of suicide attempts than their straight peers. Unsure boys and girls also reported higher risks of suicidal ideation and suicide plan as compared with their straight peers. Having a very short sleep duration, reporting ever use of illicit drugs, being bullied, and feeling sad/hopeless were associated with elevated risks of suicidality across males and females. This study identified potential disparities in suicidal outcomes by sexual orientation identity as well as factors that attenuate or strengthen this relationship in a representative sample of adolescents across the United States. An improved understanding of the differences in suicidal outcomes will serve as an opportunity to ameliorate any potential inequalities and improve sexual minority youth' health outcomes.

Introduction Detailed estimates of disparities in cigarette smoking across single- and multi-race groups and their intersections with ethnicity are lacking. This study estimates the prevalence of self-reported current smoking among intersecting adult race-ethnicity groups in the United States. Aims and Methods The analysis uses 2018–2019 data from the Tobacco Use Supplement—Current Population Supplement (TUS-CPS; n  = 137 471). Self-reported Hispanic origin and race were recoded into 19 mutually exclusive race-by-ethnicity intersecting groups. Weighted race-ethnicity group smoking prevalence were compared to the overall population prevalence and one another. Results Compared to the U.S. population current smoking prevalence (11.4% [95% CI = 11.2% to 11.6%]), smoking was particularly higher in non-Hispanic American Indian/Alaska Native (AI/AN) groups (20.7% [95% CI = 17.8% to 24.0%]) and non-Hispanic multiracial AI/AN/White (24.4% [95% CI = 20.3% to 29.1%]) and AI/AN/Black (22.4% [95% CI = 14.4% to 33.2%]) groups. Non-Hispanic single-race Asian (5.0% [95% CI = 4.4% to 5.6%]) and Hispanic single-race White (7.2% [95% CI = 6.7% to 7.7%]) smoking prevalence undercut the overall U.S. population prevalence. In pairwise comparisons, smoking prevalence was higher in various non-Hispanic single- and multi-race AI/AN groups than non-AI/AN groups and was lower in various Hispanic groups than non-Hispanic groups. Conclusions Smoking prevalence disparities are not monolithic across complex diversity of race and ethnicity in the United States. Accurate identification of priority populations in need of targeted tobacco control efforts may benefit by acknowledging multinomial heterogeneity across intersecting racial and ethnic identities. Implications Understanding racial and ethnic disparities in cigarette smoking can inform national strategies for reducing health inequities. This study examines cigarette smoking disparities among 19 adult intersecting race-ethnicity groups in the United States using the 2018–2019 TUS-CPS data. Results show higher smoking rates in some non-Hispanic American Indian/Alaska Native and Black groups, while lower rates are seen in Asian and Hispanic individuals. These findings emphasize the need for disaggregated data to tackle smoking disparities and guide targeted prevention efforts. [ABSTRACT FROM AUTHOR]

Objective: This study seeks to examine the health disparities of sexual minority older adults. Method. We used a probability sample of adults older than 50 years in select U.S. regions from the 2014, 2015, and 2016 Behavioral Risk Factor Surveillance System with administration of the sexual orientation question (n = 350,778). Binary and multinomial logistic regression models were performed to examine health disparities in general health conditions, lifetime chronic health conditions, limitations in activities, substance use, access to care and preventive health behaviors by sexual minority status (straight, gay/lesbian, bisexual, other, and nonresponse), stratified by sex (male vs. female) and age group (50-64 vs. 65+ years). Results: Compared with their straight peers, sexual minority older adults had disparities in some health outcomes, including a higher prevalence of depressive disorder and substance use. However, the disparities were not uniform across gender and age groups. Both men and women sexual minorities had some advantages as well, related to preventive health behaviors (e.g., HIV testing), as compared with their straight peers. Nonrespondents in sexual orientation generally had better health outcomes than their straight peers. Conclusions: This study identifies health disparities among subgroups of lesbians, gay men, and bisexuals older adults and highlights the need to assess variability related to gender, sexual identity, and age of this high-risk population.

Background: Despite the increasing prevalence of vaping e-cigarettes among adolescents, there remains a lack of population-level assessments regarding the objective measurement of nicotine exposure. Methods: This study analyzed a nationally representative sample of adolescents aged 13 to 17 years from Wave 5 of the Population Assessment of Tobacco and Health Study conducted between 2018 and 2019. Urinary nicotine metabolites, including cotinine and trans-3'-hydroxycotinine (3-HC), were assessed among exclusive nonnicotine e-cigarette users (n = 56), exclusive nicotine e-cigarette users (n = 200), and nonusers (n = 1059). We further examined nicotine exposure by past 30-day vaping frequency (ie, occasional [1-5 days], intermittent [6-19 days], and frequent [20+ days]) and flavor types among nicotine e-cigarette users. Multivariable linear regressions tested pairwise group effects, and biomarkers were normalized by the log transformation. Results: Compared with nonusers, both nonnicotine and nicotine e-cigarette users exhibited higher levels of cotinine and 3-HC. Nicotine e-cigarette users had mean cotinine concentrations (61.3; 95% confidence interval, 23.8-158.0, ng/mg creatinine) approximately 146 times higher (P < .0001) than nonusers (0.4; 0.3-0.5), whereas nonnicotine users (4.9; 1.0-23.2) exhibited cotinine concentrations -12 times higher (P = .02). Among nicotine e-cigarette users, the levels of cotinine and 3-HC increased by vaping frequency, with cotinine increasing from 10.1 (2.5-40.1) among occasional users to 73.6 (31.8-170.6) among intermittent users and 949.1 (482.5-1866.9) among frequent users. Nicotine exposure was not significantly different by flavor type. Conclusions: E-cigarette use poses health-related risks resulting from nicotine exposure among adolescents. Comprehensive regulations of e-cigarette products and marketing, vaping prevention, cessation, and public policies are needed to prevent youth from developing nicotine addiction. [ABSTRACT FROM AUTHOR]

The direct estimation techniques in small area estimation (SAE) models require sufficiently large sample sizes to provide accurate estimates. Hence, indirect model-based methodologies are developed to incorporate auxiliary information. The most commonly used SAE models, including the Fay-Herriot (FH) model and its extended models, are estimated using marginal likelihood estimation and the Bayesian methods, which rely heavily on the computationally intensive integration of likelihood function. In this article, we propose a Calibrated Hierarchical (CH) likelihood approach to obtain SAE through hierarchical estimation of fixed effects and random effects with the regression calibration method for bias correction. The latent random variables at the domain level are treated as ‘parameters’ and estimated jointly with other parameters of interest. Then the dispersion parameters are estimated iteratively based on the Laplace approximation of the profile likelihood. The proposed method avoids the intractable integration to estimate the marginal distribution. Hence, it can be applied to a wide class of distributions, including generalized linear mixed models, survival analysis, and joint modeling with distinct distributions. We demonstrate our method using an area-level analysis of publicly available count data from the novel coronavirus (COVID-19) positive cases. [ABSTRACT FROM AUTHOR]