The effect of alcohol use on smoking cessation: A systematic review

Sex dependent genetic architecture of biochemically verified tobacco use

BACKGROUND

Tobacco use differs by genetics and sex, and dose-dependently increases the risk for numerous diseases. Nicotine is metabolized to cotinine (COT) which is further metabolized to 3'hydroxycotinine (3HC). COT and COT+3HC are biomarkers which capture tobacco intake more accurately than self-reported measures such as cigarettes/day. It is currently not known whether genetic risk factors for heavier tobacco intake, measured using these biomarkers, differ by sex.

METHODS

We conducted a genome-wide genotype-by-sex (GxS) interaction analysis of COT and COT+3HC measured from blood in European treatment-seeking smokers (n = 541 males, n = 389 females) (NCT01314001). Linear regression models included Genotypes (coded additively), Sex, a GxS interaction term, covariates, and all covariate-by-genotype and covariate-by-sex interaction terms.

RESULTS

For COT, five suggestive (P < 5 × 10-6) loci on chr 4, 15, 19, 12, and 1 were identified; the top variant was rs11520555 (5' of SPOCK3; beta=0.38, se=0.08, GxS P = 7.39 × 10-7). For COT+3HC, eight suggestive loci on chr 21, 18, 17 (2 loci), 13, 5, 8, and 19 were identified; the top variant was rs73157714 (3' of HSPA13; beta=0.33, se=0.06, GxS P = 3.48 × 10-7). Overall, 26 genes were mapped, with 9 showing moderate to high expression in brain, and 5 showing prior associations with psychiatric traits in the GWAS Catalog.

CONCLUSIONS

Our findings suggest that the genetic architecture of tobacco intake, measured accurately using biomarkers, differs between women and men. A more granular understanding of factors influencing tobacco intake in women versus men may identify risk factors for heavier use and sex-specific opportunities to promote smoking cessation and mitigate disease risk.

IMPLICATIONS

This genome-wide interaction study suggested that some of the genetic influences on tobacco intake, measured accurately using biomarkers, differ by sex. The loci identified in our study could be a starting point for developing new genetic biomarkers that predict sex-specific differences in tobacco intake and disease risk.

Psychological distress, tobacco smoking and alcohol use: A population survey in Great Britain

Aims

Psychological distress, smoking and alcohol use are interconnected. This study explores how distress and smoking independently, and in combination, are associated with alcohol consumption, past attempts and motivation to restrict alcohol use among people in Great Britain.

Methods

Pooled cross-sectional data of people (aged ≥ 16) in Great Britain (N = 87326) collected monthly from April 2020 to June 2023 in the nationally representative Smoking and Alcohol Toolkit Study. Multinomial and binary logistic regressions assessed how past 30-day distress (Kessler Psychological Distress Scale) and smoking were associated with alcohol use risk level (AUDIT-C), past-year attempts to restrict alcohol use, and motivation to restrict alcohol use in three months, adjusting for sex, age, socioeconomic and geographic characteristics.Findings.The interaction between distress and smoking on alcohol use risk level was significant. At all distress levels, odds of using alcohol at increasing or high risk were higher among participants who smoked in the past or currently. Moderate or serious distress was associated with lower odds of using alcohol at increasing risk among participants who did not smoke. Higher distress was positively associated with past-year attempts to restrict alcohol use, while smoking in those reporting low-to-moderate distress was negatively associated with past-year attempts. Higher distress was positively associated with motivation to restrict alcohol use in three months.

Conclusions

Smoking currently or in the past was independently associated with increased odds of using alcohol at increasing- or high-risk levels. Among those not smoking, higher distress was associated with reduced odds of using alcohol at increasing risk.

Evaluation of E-Cigarette Use in Opioid-Dependent Patients in Maintenance Treatment

INTRODUCTION

As tobacco smoking decreases, the use of e-cigarettes is on the rise. There is a debate whether switching from smoking to the use of e-cigarettes might represent a harm reduction strategy for those who smoke tobacco heavily, a habit often observed in individuals with opioid dependence. The present study investigated the prevalence and patterns of tobacco smoking and e-cigarette use in patients in opioid maintenance treatment (OMT) and whether e-cigarette use contributed to the cessation of smoking tobacco.

METHODS

In 2014 (n=84) and in 2021 (n=128), patients from two OMT clinics of a psychiatric university hospital were interviewed RESULTS: In both surveys, patients presented with a comparable average age (45.6 vs. 46.9 years of age), gender distribution (mainly male 71.4 vs. 75.8%), and length of OMT history (median: 66 vs. 55 months). The lifetime prevalence of e-cigarette use (45.2% in 2014 and 38.3% in 2021) was much higher than the current prevalence (4.9% and 7.8%, respectively). Few patients reported either a complete switch from smoking to the use of e-cigarettes (2014, n=1 vs. 2021, n=2) or the achievement of abstinence from smoking after a temporary use of e-cigarettes (2014, n=2 vs. 2021, n=1).

DISCUSSION

No increase in the use of e-cigarettes was observed in these groups of patients undergoing OMT. Presumably, harm reduction strategies relating to the use of e-cigarettes in this group need to be supported by motivational interventions. Given the high morbidity and mortality due to smoking, OMT clinics should offer professional help in reducing smoking.

The alcohol exposome

Science is now in a new era of exposome research that strives to build a more all-inclusive, panoramic view in the quest for answers; this is especially true in the field of toxicology. Alcohol exposure researchers have been examining the multivariate co-exposures that may either exacerbate or initiate alcohol-related tissue/organ injuries. This manuscript presents selected key variables that represent the Alcohol Exposome. The primary variables that make up the Alcohol Exposome can include comorbidities such as cigarettes, poor diet, occupational hazards, environmental hazards, infectious agents, and aging. In addition to representing multiple factors, the Alcohol Exposome examines the various types of intercellular communications that are carried from one organ system to another and may greatly impact the types of injuries and metabolites caused by alcohol exposure. The intent of defining the Alcohol Exposome is to bring the newly expanded definition of Exposomics, meaning the study of the exposome, to the field of alcohol research and to emphasize the need for examining research results in a non-isolated environment representing a more relevant manner in which all human physiology exists.

A brief alcohol intervention during smoking cessation treatment in daily cigarette smokers: A pilot randomized controlled trial

Alcohol use attenuates successful smoking cessation. We examined the feasibility, acceptability, and preliminary efficacy of a brief alcohol intervention in smokers. In this two-arm, assessor-blinded randomized controlled trial, we randomized 100 daily smokers (82.0% male, mean age = 43.7 years) with past-year alcohol use in smoking cessation clinics. Both intervention (n = 51) and control (n = 49) groups received conventional smoking cessation treatment, the intervention group additionally received a brief alcohol intervention. Primary outcome was biochemically validated tobacco abstinence at 2 months. Secondary outcomes included Alcohol Use Disorders Identification Test (AUDIT) scores, self-reported past 7-day alcohol consumption in alcohol units, feasibility, and acceptability scores at 2 months. By intention-to-treat, the intervention group showed higher validated abstinence (11.8% vs. 10.2%, Risk Ratio = 1.15, 95%CI = 0.38-3.53), lower AUDIT score (5.3 vs. 6.5), and lower alcohol consumption (5.6 vs. 7.1) than the control group, but the differences were not significant. Overall, the feasibility was high (4.2/5.0), and the acceptability was modest (5.0/7.0). In all participants, reduction in smoking relapse risk due to alcohol use from baseline to 2-month follow-up was associated with higher biochemically validated abstinence (Adjusted odds ratio: 1.55, 95% CI = 1.05-2.28). Our brief alcohol intervention is feasible, acceptable, and potentially efficacious to promote tobacco abstinence and alcohol reduction.

Repeated participation in hospital smoking cessation services and its effectiveness in smoking cessation: a seven-year observational study in Taiwan

OBJECTIVE

The purpose of this study was to evaluate repeated participation in hospital smoking cessation services and its related factors and to explore the correlation between the frequency of participation and its effectiveness in smoking cessation. This study uniquely follows participants over a seven-year period after the removal of financial barriers, with a maximum charge of TWD 200 (USD 6.4) for cessation medications in Taiwan.

METHODS

A secondary analysis of data from a regional teaching hospital in Central Taiwan was conducted, utilizing the database of the Smoking Cessation Therapy Management Center of Health Promotion Administration and the hospital's documentation from 2013 to 2019. Successful smoking cessation was defined as a non-smoking status at the six-month follow-up stages. Repeat participation was identified through the hospital's smoking cessation logs. Logistic and Cox regression analyses were conducted to meet the study objectives, with all statistical procedures performed on SAS version 9.4.

RESULTS

In this study, 19.16% of the smoking cessation service users participated repeatedly over a period of seven years. After adjusting for the observation time, the Cox regression analysis showed that those who experienced the side effects of smoking cessation, long-term smokers, and those with a history of disease were more likely to participate again (HR:1.39;1.17;2.60). However, those who smoked heavily, drank alcohol, and failed to quit smoking after previous participation were significantly less likely to participate again (HR:0.59,0.55,0.70;0.89;0.66). Finally, this study found no significant correlation between the frequency of repeated participation and the effectiveness of the last smoking cessation service.

CONCLUSION

A certain proportion of smokers repeatedly participate in the same hospital's smoking cessation program, which does not diminish its effectiveness. It is implied that relaxing the limit on the quantity of smoking cessation services subsidies will contribute to overall tobacco harm control efforts.

Prevalence, demographic, socio-economic, and lifestyle factors associated with cigarette, e-cigarette, and dual use: evidence from the 2017-2021 Scottish Health Survey

Understanding the correlation between demographic, socio-economic, and lifestyle factors with e-cigarette use, cigarette smoking, and dual use is essential for targeted public health interventions. This study examines the prevalence of these behaviors in Scotland and identifies the associated factors. We conducted a repeated cross-sectional analysis of the Scottish Health Survey data from 2017 to 2021, leveraging data from 12,644 participants aged 16 and older: 2271 cigarette smokers, 687 e-cigarette users, 428 dual users, and 9258 never users. Weighted prevalences were calculated by age group, sex, and survey year, followed by weighted multinomial logistic regression to explore associated factors. The overall prevalences were 72.0% (95% CI 70.9-73.1) for never users, 18.9% (95% CI 17.9-19.9) for cigarette smokers, 5.5% (95% CI 5.0-6.1) for e-cigarette users, and 3.6% (95% CI 3.2-4.0) for dual users. From 2017 to 2021, cigarette smoking declined from 21.7% (95% CI 19.6-23.9) to 13.1% (95% CI 11.5-15.0), e-cigarette use from 6.5% (95% CI 5.4-7.8) to 4.8% (95% CI 3.6-6.4), and dual use from 3.7% (95% CI 2.9-4.6) to 2.7% (95% CI 1.9-3.7). Age was a critical factor, with the 25-34 age group more likely to use e-cigarettes (p = 0.007) and the 35-44 age group more likely to engage in dual use (p = 0.006) compared to the 16-24 age group. Males had higher odds of e-cigarette use than females (p = 0.031). White individuals had higher odds of using e-cigarettes (p = 0.023) and being dual users (p = 0.017) compared to non-whites. Previously married individuals had higher odds of dual use than singles (p = 0.031). Larger household sizes were linked to reduced odds of all three behaviors (p = 0.001). Rural residents were less likely to use e-cigarettes compared to urban residents (p = 0.025). Higher education correlated with lower odds of all three behaviors (p = 0.001). Manual occupation increased the likelihood of dual use (p = 0.042). Lower income and higher deprivation significantly increased the odds of all three behaviors (p < 0.001). Excessive alcohol consumption was associated with increased odds of the three behaviors (p < 0.001). Poor sleep quality correlated with increased odds of dual use (p = 0.002) and cigarette smoking (p < 0.001). Adherence to physical activity guidelines was associated with reduced odds of all three behaviors (cigarette smoking p < 0.001, e-cigarette use p = 0.031, dual use p = 0.016). In conclusion, this study showed a decline in the prevalence of cigarette smoking, e-cigarette use, and dual usage from 2017 to 2021 in Scotland. Significant associations with demographic, socio-economic, and lifestyle factors highlight the need for targeted public health interventions.

Rapid Lifestyle Recommendations to Improve Urologic, Heart and Overall Health

PURPOSE OF REVIEW

This literature review is intended to highlight recent correlations between urologic, heart and overall health by emphasizing healthy eating patterns, physical activity, alcohol minimization and tobacco elimination, healthy sleep, weight, cholesterol, blood sugar, blood pressure management, and mental health awareness.

RECENT FINDINGS

Meta-analyses, systematic reviews, and clinical studies espouse a unified message for prevention, reducing the risk of disease recurrence, progression, complementing conventional medical intervention efficacy, and mitigating treatment side effects. Limiting or eliminating alcohol consumption could be considered an independent recommendation and adding a mental health and miscellaneous (genetic risk and lifestyle, planetary health, HPV or other vaccination awareness, spirituality, etc.) category could allow for individualized educational opportunities, synergism appreciation, and self-improvement. Urologic healthcare professionals have the potential to strengthen the collective public health goal of improving the quality and quantity of the lives of patients able to adhere to these heart healthy recommendations.

The effects of alcohol use on smoking cessation treatment with nicotine replacement therapy: An observational study

INTRODUCTION

Concurrent users of tobacco and alcohol are at greater risk of harm than use of either substance alone. It remains unclear how concurrent tobacco and alcohol use affects smoking cessation across levels of alcohol use and related problems. This study assessed the relationship between smoking cessation and levels of alcohol use problems.

METHODS

59,018 participants received nicotine replacement therapy through a smoking cessation program. Alcohol use and related symptoms were assessed using the Alcohol Use Disorders Identification Test (AUDIT-10) and the AUDIT-Concise (AUDIT-C). The primary outcome was 7-day point prevalence cigarette abstinence (PPA) at 6-month follow-up. We evaluated the association between alcohol use (and related problems) and smoking cessation using descriptive methods and mixed-effects logistic regression.

RESULTS

7-day PPA at 6-months was lower in groups meeting hazardous alcohol consumption criteria, with the lowest probability of smoking abstinence observed in the highest risk group. The probability of successful tobacco cessation fell with increasing levels of alcohol use and related problems. Adjusted predicted probabilities were 30.3 (95 % CI = 29.4, 31.1) for non-users, 30.2 (95 % CI = 29.4, 31.0) for low-risk users, 29.0 (95 % CI = 28.1, 29.9) for those scoring below 8 on the AUDIT-10, 27.3 (95 % CI = 26.0, 28.6) for those scoring 8-14, and 24.4 (95 % CI = 22.3, 26.5) for those scoring 15 or higher.

CONCLUSION

Heavy, hazardous alcohol use is associated with lower odds of successfully quitting smoking compared to low or non-use of alcohol. Targeting alcohol treatment to this group may improve tobacco cessation outcomes.

Combination Treatment With Varenicline and Nicotine Patch on Smoking Cessation Outcomes in Heavy Drinkers at 26-Week Follow-up

PURPOSE/BACKGROUND

People who smoke cigarettes and drink alcohol heavily are less likely to quit smoking compared with those who do not drink heavily. The current study examined the effects of a 12-week treatment phase of combination varenicline and nicotine patch compared with placebo and nicotine patch on smoking cessation (primary outcome) and alcohol consumption (secondary outcome) in heavy drinking smokers at 26-week follow-up.

METHODS/PROCEDURES

Participants were daily smokers who met heavy drinking criteria. They were randomly assigned to receive either varenicline and nicotine patch (n = 61) or placebo and nicotine patch (n = 61) for 12 weeks. At week 26, self-reports of point prevalence cigarette abstinence were biochemically confirmed, and past-month alcohol drinking days and heavy drinking days were assessed.

FINDINGS/RESULTS

At week 26, smoking quit rates did not differ by treatment group (25% varenicline and 26% placebo). Relative to week 12 outcomes, week 26 quit rates significantly dropped off in the varenicline group but not in the placebo group. Alcohol drinking reductions for the whole sample that were previously observed from baseline to week 12 were sustained at week 26, although they did not differ between treatment groups.

IMPLICATIONS/CONCLUSIONS

In heavy drinking smokers, smoking cessation success was evident in a quarter of the total sample at 3 months postmedication discontinuation. At this time, quit rates were the same between those who received varenicline and nicotine patch and those who received nicotine patch alone. Future research is warranted to examine what may aid in longer-term smoking quit rates in heavy drinking smokers.

Examining the correlates of cigarette smoking, e-cigarette use and dual use among Canadian post-secondary students

Many Canadians use nicotine products such as cigarettes and e-cigarettes. A particular subpopulation of concern is post-secondary students given they have a higher prevalence of use. Many correlates of cigarette smoking and e-cigarette use have been identified. However, less focus has been on examining the correlates of cigarette smoking, e-cigarette use and dual use. This study explores the correlates of different nicotine modality use in post-secondary students. Using data from the Canadian Campus Wellbeing Survey (CCWS; n = 27,164), a multi-level nominal regression assessed the correlates of nicotine modality use. In comparison to individuals who were <20, individuals 20-24 (OR = .448, 95% CI .321, .625), 25-29 (OR = .140, 95% CI .093, .212), 30-34 (OR = .076, 95% CI .046, .125) and over 35 (OR = .041, 95% CI .024, .071) had lower odds of e-cigarette use compared to cigarette smoking. Identifying as a woman (OR = 1.553, 95% CI 1.202, 2.006), non-heterosexual (OR = .642, 95% CI = .485,0.851), current cannabis user (OR = 1.651, 95% CI 1.296, 2.104), and being an international student (OR = .350, 95% CI .251, .487) also impacted the odds of e-cigarette use vs only cigarette smoking. When considering dual use vs cigarette smoking, individuals aged 20-24 (OR = .491, 95% CI .337, .717), 25-29 (OR = .221, 95% CI .137, .357), 30-34 (OR = .163, 95% CI .091, .292) and over 35 (OR = .122, 95% CI .065, .230) had lower odds than individuals <20. Current cannabis use (OR = 1.680, 95% CI = 1.209, 2.138), binge drinking (OR = 1.885, 95% CI 1.384, 2.568), and international student status (OR = .689, 95% CI .476, .996) also impacted cigarette smoking vs dual-use. Overall, a minority of young adults (11.5%) at post-secondary institutions in our sample use nicotine products, and the higher prevalence of e-cigarette use warrants continued monitoring. Health promotion campaigns addressing e-cigarette use are required. Additionally, tailored intervention efforts could prioritize the treatment needs of international students studying in Canada.

Does alcohol consumption elevate smoking relapse risk of people who used to smoke? Differences by duration of smoking abstinence

BACKGROUND

Past research indicates dual users of tobacco and alcohol find it harder to quit smoking and may be more likely to relapse. This study investigated whether post-quit alcohol use predicted smoking relapse among ex-smokers, and whether this relationship varied by length of smoking abstinence.

METHOD

The study included 1064 ex-smokers (18+ years) from Canada (n = 340), US (n = 314), England (n = 261), and Australia (n = 149) who participated in the 2018 and 2020 International Tobacco Control Four Country Smoking and Vaping Survey, and we conducted analyses using multivariable logistic regression. We assessed alcohol consumption in 2018 using AUDIT-C and coded as never/low, moderate or heavy level and used alcohol consumption to predict smoking status in 2020.

RESULTS

Overall 26 % and 21 % of ex-smokers consumed alcohol at a moderate and heavy level, respectively. Compared to never/low alcohol consumption, risk of smoking relapse among those who consumed alcohol at a moderate level was significantly lower within the first year of abstinence (OR = 0.34, 95 % CI = 0.14-0.81, p = 0.015) but higher thereafter (OR = 2.44, 95 % CI = 1.13-5.23, p = 0.023). The pattern of results was similar for those who consumed alcohol at a heavy level.

CONCLUSIONS

Overall, baseline alcohol consumption of ex-smokers did not predict their smoking relapse risk. As expected, risk differed by smoking abstinence duration. However, the pattern was unexpected among the short-term quitters as the subgroup who drank moderately/heavily had lower relapse risk than their counterparts who never drink or at low level, underscoring the need to replicate this unexpected finding.

A comparative study of changes in smoking cessation attempt rates and related factors before and during COVID-19

This study aimed to identify whether smoking cessation attempts (SCA) for health promotion changed during the coronavirus disease 2019 (COVID-19) pandemic and how the characteristics of people who undertook SCA before versus during COVID-19 differed. This was a secondary data analysis of the South Korean 2019-2021 Community Health Survey data for 163,334 smokers that compared sociodemographic factors, health behaviors, and health status by SCA and year using χ2 statistics and multiple logistic regression analysis. The SCA rate significantly decreased from 72.6 % in 2019 to 44.1 % in 2021. In 2019, the rate was high for those over 60 years old but decreased by half by 2021. The ORs for SCA were higher in women than men in all years and were lower in 2019 for all age groups except those in their 70 s; however, in 2021, the ORs for those in their 20 s were higher than those in their 70 s and were slightly higher for non-high-risk drinkers than for high-risk drinkers. ORs were higher among those trying to lose or gain weight than among those who were not. Despite its health benefits, the SCA rate significantly decreased. Issuing public statements encouraging SCA is critical. Measures are necessary to increase the rate of SCA among people in their 70 s and support those seeking to control their weight for successful smoking cessation. In addition, a strategy to maintain the SCA rate in people in their 20 s is required to ensure their future health.

Do Determinants of Smoking Cessation and Relapse Differ between Men and Women? Data from a French National Study

Introduction: There is limited understanding of different predictors of smoking cessation success (SCS) among women and men, despite well-documented differences in smoking behavior.Methods: Using data from DePICT (Description des Perceptions, Images, et Comportements liés au Tabagisme), a national survey of French adults which recruited 2377 regular and former smokers we investigated whether major determinants of SCS differed by sex. Factors associated with unsuccessful vs. No successful quit attempt; vs. SCS were studied using multivariate multinomial logistic regression analyses stratified by sex.Results: Women and men share some determinants of SCS including no cannabis use, living in a nonsmoker household and importance giving to being a nonsmoker. However, no e-cigarette use, low-to-moderate alcohol consumption, early smoking initiation, and higher education were associated with SCS only among women. No use of nicotine replacement, having family members who smoke, family opinion on smoking and current employment, were associated with SCS only among men. Neutral or negative friends' opinion on smoking or living with a smoker were associated with unsuccessful smoking attempts among men.Conclusions: Our results show differences between determinants of SCS according to sex, which highlights the importance of developing tailored interventions that account for sex/gender differences in smoking cessation.

The Disease Model of Addiction: The Impact of Genetic Variability in the Oxidative Stress and Inflammation Pathways on Alcohol Dependance and Comorbid Psychosymptomatology

Oxidative stress and neuroinflammation are involved in the pathogenesis of alcohol addiction. However, little is known regarding the effect of genetic, behavioral, psychological, and environmental sources of origin on the inflammation and oxidative stress pathways of patients with alcohol addiction. Our study aimed to evaluate the impact of selected common functional single-nucleotide polymorphisms in inflammation and oxidative stress genes on alcohol addiction, and common comorbid psychosymptomatology. Our study included 89 hospitalized alcohol-addicted patients and 93 healthy individuals, all Slovenian males. Their DNA was isolated from peripheral blood and patients were genotyped for PON1 rs705379, rs705381, rs854560, and rs662, SOD2 rs4880, GPX1 rs1050450, IL1B rs1143623, rs16944, and rs1071676, IL6 rs1800795, IL6R rs2228145, and miR146a rs2910164. Kruskal-Wallis and Mann-Whitney tests were used for the additive and dominant genetic models, respectively. Our findings suggested the involvement of IL6 rs1800795 in alcohol addiction. Moreover, our data indicated that the genetic variability of SOD2 and PON1, as well as IL1B and IL6R, may be related to comorbid psychosymptomatology, revealing a potential indirect means of association of both the oxidative stress and inflammation pathways.