This study extends current literature by measuring change in smoking dependence and disease-associated biomarkers, NNAL and a panel of eight common VOCs that are toxic tobacco smoke constituents in smokers who switch to ECs. The findings support the idea of harm reduction, however some levels of toxicant exposure are still of clinical concern, particularly for dual users. Extrapolation of these results must be careful to separate the different toxic exposure results for exclusive switchers versus dual cigarette + EC users, and not to equate harm reduction with the idea that using ECs is harmless.
Absolute total cross section (TCS) measurements of electron scattering from gaseous methanol and ethanol molecules are reported for impact energies from 60 to 500 eV, using the linear transmission method. The attenuation of intensity of a collimated electron beam through the target volume is used to determine the absolute TCS for a given impact energy, using the Beer–Lambert law to first approximation. Besides these experimental measurements, we have also determined TCS using the additivity rule.
This study suggests that stable smokers who currently use ECs possess characteristics that are associated with difficulty in achieving smoking cessation. These characteristics should be considered when examining the effectiveness of ECs on cessation and in designing future cessation trials using ECs.
Introduction
Given increases in nondaily smoking and alternative tobacco use among young adults, we examined the nature of change of various tobacco product use among college students over a year and predictors of use at one-year follow-up.
Methods
An online survey was administered to students at six Southeast colleges and universities (N = 4,840; response rate = 20.1%) in Fall 2010, with attempts to follow up in Fall 2011 with a random subsample of 2,000 participants (N = 718; response rate = 35.9%). Data were analyzed from 698 participants with complete data regarding tobacco, marijuana, and alcohol use over a one-year period, perceived harm of tobacco use, and schemas of a “smoker” (as per the Classifying a Smoker Scale).
Results
Baseline predictors of current smoking at follow-up included being White (p = .001), frequency of smoking (p < .001), alternative tobacco use (p < .001), and perceived harm of smoking (p = .02); marginally significant predictors included marijuana use (p = .06) and lower scores on the Classifying a Smoker Scale (p = .07). Baseline predictors of current smoking at follow-up among baseline nondaily smokers included more frequent smoking (p = .008); lower Classifying a Smoker Scale score was a marginally significant predictor (p = .06). Baseline predictors of alternative tobacco use at follow-up included being male (p = .007), frequency of smoking (p = .04), alternative tobacco use (p < .001), and frequency of alcohol use (p = .003); marginally significant predictors included marijuana use (p = .07) and lower perceived harm of smokeless tobacco (p = .06) and cigar products (p = .08).
Conclusions
Tobacco control campaigns and interventions might target schemas of a smoker and perceived risks of using various tobacco products, even at low levels.
Racial/ethnic disparities in cigarette use and cessation persist. This study compared cigarette consumption and former smoking trends in California (CA) with the rest of the United States (US) by racial/ethnic categories of non-Hispanic White, Black, Hispanic/Latino, and Asian/Pacific Islander groups. Data were analyzed from the 1992 to 2011 Tobacco Use Supplement to the Current Population Survey. Consumption levels across decades were examined and adjusted logistic regression models were fit to compare across CA and US. Results indicated steady declines in ever smoking prevalence for all groups with much lower magnitudes of change among US Blacks and Whites compared to their CA counterparts. After controlling for age, gender, and education, CA had significantly fewer heavy smokers (OR = 0.45, 95% CI:0.38–0.54), more light and intermittent smokers (LITS; OR = 1.68, 95%CI: 1.45–1.93), and a greater proportion of former smokers (OR = 1.35, 95%CI: 1.24–1.48) than the rest of US. Data were stratified by race/ethnicity and the patterns shown were mostly consistent with CA performing statistically better than their US counterparts with the exception of Black LITS and Asian/Pacific Islander former smokers. California's success in reducing tobacco use disparities may serve as a prime example of tobacco control policy for the country. CA and the US will need to continue to address tobacco use and cessation in the context of the growing diversity of the population.
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