The predictive value of smoking expectancy and the heritability of its accuracy

Electronic cigarette use by and perceptions of middle and high school students in the United States

Electronic cigarettes (e-cigarettes) provide a novel source of nicotine and may lead to experimentation by adolescents and eventually to their use of conventional cigarettes. The National Youth Tobacco Survey collected information from a nationally representative sample of students in 2016 to determine their experiences with conventional cigarettes and e-cigarettes, their intentions to use these products in the future, and their perceptions of harm and addiction associated with these products. We analyzed these data with ordered probit regression models to determine possible associations with the intention to try e-cigarettes and conventional cigarettes. This survey included 20,520 respondents, 50.6% were male, 5.9% had used conventional cigarettes, and 9.0% had used e-cigarettes. Approximately 10% thought e-cigarettes caused no harm, 3.7% thought that conventional cigarettes caused no harm, and 52.5% thought that e-cigarettes were less harmful than conventional cigarettes. Less than 1% of the students responded "Definitely yes" to the question, "Do you think you will try an e-cig?" The odds ratios for an intention to try e-cigarettes increased as the perception of harm decreased; these ratios increased from 1.0 for "A lot of harm" to 5.85 (95% CI: 3.51, 9.75) for "No harm." In 2016, the majority of students thought that e-cigarettes could cause some harm. This survey indicates that most students have not tried e-cigarettes or conventional cigarettes. The minority of students who think that e-cigarettes pose no harm and students in the ages 14 and 16 are more likely to try them.

Indexing Quit-Smoking Interest among Norwegian Smokers 2019-2021

Even if smoking prevalence is declining in several western countries, continued smoking cessation is required to reduce tobacco-related harms and to achieve future goals of smoke-free societies or the tobacco endgame. But how many of the current smokers want to quit? Estimates vary and depend on the type of question asked. We investigate how a pooled sample of Norwegian smokers (N = 1321) is distributed over four indicators of interest in quitting: (i) degree of desire to quit, (ii) prediction of future smoking status, (iii) reported plan for quitting smoking, and (iv) statements on previous attempts to quit. Based on these variables, we constructed an index. One-third of the smokers (32.6%) was categorized as having a high or very high interest in quitting. However, nearly half of the smokers (47.8%) had low or very low interest in quitting. Like several other countries, Norway has legislated a vision of a smoke-free society and, under the government's plans; this goal will be achieved by intensified use of structural measures such as tax hikes, tighter restrictions on outdoor smoking, and reduced availability of cigarettes. For the third who want to quit smoking, such constraints on their behaviour may help them to pursue their desire to quit. However, for the half who want to continue smoking, these measures may not be helpful but instead be experienced as a loss of welfare, less freedom to act, and increased social disqualification.

Phenome-Wide Association Study for Alcohol and Nicotine Risk Alleles in 26394 Women

To identify novel traits associated with alleles known to predispose to alcohol and nicotine use, we conducted a phenome-wide association study (PheWAS) in a large multi-population cohort. We investigated 7688 African-Americans, 1133 Asian-Americans, 14 081 European-Americans, and 3492 Hispanic-Americans from the Women's Health Initiative, analyzing alleles at the CHRNA3-CHRNA5 locus, ADH1B, and ALDH2 with respect to phenotypic traits related to anthropometric characteristics, dietary habits, social status, psychological traits, reproductive history, health conditions, and nicotine/alcohol use. In ADH1B trans-population meta-analysis and population-specific analysis, we replicated prior associations with drinking behaviors and identified multiple novel phenome-wide significant and suggestive findings related to psychological traits, socioeconomic status, vascular/metabolic conditions, and reproductive health. We then applied Bayesian network learning algorithms to provide insight into the causative relationships of the novel ADH1B associations: ADH1B appears to affect phenotypic traits via both alcohol-mediated and alcohol-independent effects. In an independent sample of 2379 subjects, we also replicated the novel ADH1B associations related to socioeconomic status (household gross income and highest grade finished in school). For CHRNA3-CHRNA5 risk alleles, we replicated association with smoking behaviors, lung cancer, and asthma. There were also novel suggestive CHRNA3-CHRNA5 findings with respect to high-cholesterol-medication use and distrustful attitude. In conclusion, the genetics of alcohol and tobacco use potentially has broader implications on physical and mental health than is currently recognized. In particular, ADH1B may be a gene relevant for the human phenome via both alcohol metabolism-related mechanisms and other alcohol metabolism-independent mechanisms.

Lack of an association between SNPs within the cholinergic receptor genes and smoking behavior in a Czech post-MONICA study

Smoking has a significant heritable component of approximately 30–60%. Recent genome wide association studies have identified single nucleotide polymorphisms (SNPs) within the nicotinic cholinergic receptor subunits 3 (rs578776), 5 (rs16969968) and β3 (rs6474412), which are associated with nicotine dependence in Western European populations. To analyze the association in a Czech population, we genotyped 1,191 males and 1,368 females (post-MONICA study). The WHO protocol was used to examine smoking status and the number of cigarettes smoked per day. There were 32.1% current and 27.6% past smokers among the males and 22.5% current and 13.8% past smokers among the females. We have not confirmed the original results: the SNPs rs16969968 (p = 0.07), rs578776 (p = 0.16) and rs6474412 (p = 0.76) were not associated with smoking status (never-smokers vs. ever-smokers) in the entire population, if a codominant model of analysis was used. This result was valid for both the male and female subpopulations if analyzed separately and adjusted for age. Finally, in ever-smokers, the number of cigarettes smoked per day was also independent of different genotypes, regardless of which polymorphism (and gender) was analyzed (the lowest p value was 0.49). The association between the cholinergic receptors–nicotinic subunits (-3, -5 and -ß3), and smoking behavior may be population-dependent.