Establishing measurement invariance of tobacco addiction among adolescents remains challenging. In adult smoking cessation trials, poor outcome is predicted by high cigarette consumption and large puff volume at baseline. We examined the predictive value of pretreatment smoking rates and topography variables for abstinence outcomes among 66 adolescents enrolled in a 3-month smoking cessation trial using nicotine replacement and cognitive behavioral therapy. Pretreatment variables included cigarettes per day (CPD), puff volume, puff duration, and several youth-adapted Fagerström-derived questionnaire scores. Outcome measures included prolonged abstinence at end of treatment and point-prevalent abstinence 3 months after the end of the trial. Logistic regression controlling for treatment group showed that increases in baseline CPD (odds ratio, 1.438; 95% confidence interval, 1.051-1.967) and average puff volume (odds ratio, 1.168; 95% confidence interval, 1.030-1.326) predicted continued smoking at the end of treatment. Puff volume (P=0.013), but not CPD, predicted abstinence at the 3-month follow-up. None of the youth-adapted Fagerström questionnaires predicted outcome on either abstinence measure. If confirmed in a larger sample, our findings suggest that puff topography, and possibly CPD, might predict cessation outcome better than Fagerström scores in adolescent smokers.
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http://dx.doi.org/10.1158/1055-9965.EPI-05-0167 | DOI Listing |
Environ Health Perspect
January 2025
Chemical Insights Research Institute, UL Research Institutes, Marietta, Georgia, USA.
Background: Since their inception, electronic nicotine delivery systems (ENDS) have gained increasing popularity, sparking a vaping epidemic among adolescents in the US and globally. Several ENDS safety concerns have emerged as device features and formats that contribute to heavy metal exposure and toxicity continue to evolve and outpace regulatory efforts.
Objectives: Our objective was to integrate ENDS emission profiles with salivary proteome and metabolome data to characterize exposure factors that may influence adverse vaping-mediated health outcomes.
Sci Rep
December 2024
Division of Pulmonary and Critical Care, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095-1690, USA.
Electronic cigarettes (e-cigs) fundamentally differ from tobacco cigarettes in their generation of liquid-based aerosols. Investigating how e-cig aerosols behave when inhaled into the dynamic environment of the lung is important for understanding vaping-related exposure and toxicity. A ventilated artificial lung model was developed to replicate the ventilatory and environmental features of the human lung and study their impact on the characteristics of inhaled e-cig aerosols from simulated vaping scenarios.
View Article and Find Full Text PDFAddiction
December 2024
Center for Tobacco Research, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA.
Front Chem
November 2024
Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, Henan, China.
Understanding the puff-by-puff delivery mechanisms of key components of heated tobacco products is critical to developing product designs. This study investigates the puff-by-puff release patterns of key components in Natural Smoke Cigarettes (NSCs), which are designed to deliver nicotine without combustion by reducing oxygen content, utilizing a 30-s puff interval, a 2-s puff duration, and a 55 mL puff volume to simulate realistic smoking conditions. By establishing models to analyze the variation of nicotine, glycerol, 1,2-propylene glycol (PG), and water in different functional sections of the cigarette under controlled smoking conditions.
View Article and Find Full Text PDFNeurosci Res
November 2024
Oral Physiology, Department of Oral Functional Science, Faculty of Dental Medicine and Graduate School of Dental Medicine, Hokkaido University, Hokkaido, Japan.
The striatum consists of two anatomically and neurochemically distinct compartments, striosomes and the matrix, which receive dopaminergic inputs from the midbrain and exhibit distinct dopamine release dynamics in acute brain slices. Striosomes comprise approximately 15 % of the striatum by volume and are distributed mosaically. Therefore, it is difficult to selectively record dopamine dynamics in striosomes using traditional neurochemical measurements in behaving animals, and it is unclear whether distinct dynamics play a role in associative learning.
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