Hit me with your best puff: Personality predicts preference for cigar vs. cigarette smoking.

In this study, we examine the association between Big Five personality traits and cigar or cigarette smoking in a sample of 9,918 older adults across 11 European countries derived from the Survey of Health, Ageing and Retirement in Europe (SHARE) dataset. We find significant associations between several traits and smoking groups. Smoking was associated with lower scores on Conscientiousness and Agreeableness and higher Extraversion scores. In addition, cigar smokers exhibit lower Neuroticism and higher Openness compared to both cigarette smokers and non-smokers. These findings suggest that both personality traits are antecedents of smoking behavior, offering implications for targeted public health interventions and social policies aimed at combating the global tobacco epidemic.

Coexistence of Standard Modifiable, Other Classical, and Novel and Classical Atherosclerotic Cardiovascular Disease Risk Factors in Middle Eastern Young Women.

Background: The coexistence of multiple standard modifiable risk factors (SMuRFs),classical and novel risk factors (RFs) for atherosclerotic cardiovascular disease (ASCVD) is common in the Middle East (ME). There is a paucity of data on the coexistence of these RFs in ME young women. Aim: Comparing the prevalence and the statistical patterns of the SMuRFs, classical and novel RFs in target population. Methods: In this case-control (1:2) study, consecutive young women aged 18-50 years were enrolled in 12 centers (July 2021 to October 2023). Prevalence and coexistence of 19 RFs were compared between cases with ASCVD and their controls. The RFs included SMuRFs (hypertension, type 2 diabetes, dyslipidemia, and cigarette smoking), other classical RF (obesity, family history of premature ASCVD, and physical inactivity), novel RFs and social determinants of health (health insurance, place of residence, depression, and level of education). Results: The study included 627 subjects; 209 had ASCVD (median age 46 years, IQR 49-42 years) and 418 controls (median age 45 years, IQR 48-41 years). The presence of 1-2 RFs; (ASCVD: 63.2%, Control: 54.1%, p=0.037) and 3-4 RFs; (ASCVD: 27.8%, Control: 3.3%, p < 0.001) SMuRFs was more prevalent in women with ASCVD. Similarly, the presence of 4-5 RFs; (ASCVD: 40.7%, Control: 14.6%, p<0.001), and 6-7 (ASCVD: 10.5%, Control: 1%, p < 0.001). The classical RF were also significantly common in these women. The distribution of multiple novel RF was not statistically significant across both groups. Finally, regarding the socioeconomic RFs in women with ASCVDs, the presence of 1-2 RFs (ASCVD: 59.8%, Control: 76.1%, p < 0.001) was significantly less common while the presence of 3-4 RFs (ASCVD: 39.2%, Control: 21.8%, p < 0.001) was vastly more common. Conclusion: An elevated rate of coexistence of classical RF in the case group, mainly socioeconomic and SMuRFs. By managing them primary and secondary ASCVDs prevention attained.

Does smoking cessation reduce other substance use, psychiatric symptoms, and pain symptoms? Results from an emulated hypothetical randomized trial of US veterans.

BACKGROUND: Quitting smoking may lead to improvement in substance use, psychiatric symptoms, and pain, especially among high-risk populations who are more likely to experience comorbid conditions. However, causal inferences regarding smoking cessation and its subsequent benefits have been limited. METHODS: We emulated a hypothetical open-label randomized control trial of smoking cessation using longitudinal observational data of HIV-positive and HIV-negative US veterans from 2003-2015 in the Veterans Aging Cohort Study. We followed individuals from the first time they self-reported current cigarette smoking (baseline). We categorized participants as quitters or non-quitters at the first follow-up visit (approximately 1 year after baseline). Using inverse probability weighting to adjust for confounding and selection bias, we estimated odds ratios for improvement of co-occurring conditions (unhealthy alcohol use, cannabis use, illicit opioid use, cocaine use, depressive symptoms, anxiety symptoms, and pain symptoms) at second follow-up (approximately 2 years after baseline) for those who quit smoking compared to those who did not, among individuals who had the condition at baseline. RESULTS: Of 4,165 eligible individuals (i.e., current smokers at baseline), 419 reported no current smoking and 2,330 reported current smoking at the first follow-up. Adjusted odds ratios (95% confidence intervals) for associations between quitting smoking and improvement of each condition at second follow-up were: 2.10 (1.01, 4.35) for unhealthy alcohol use, 1.75 (1.00, 3.06) for cannabis use, 1.10 (0.58, 2.08) for illicit opioid use, and 2.25 (1.20, 4.24) for cocaine use, 0.78 (0.44, 1.38) for depressive symptoms, 0.93 (0.58, 1.49) for anxiety symptoms, and 1.31 (0.84, 2.06) for pain symptoms. CONCLUSIONS: While a causal interpretation of our findings may not be warranted, we found evidence for decreased substance use among veterans who quit cigarette smoking but none for the resolution of psychiatric conditions or pain symptoms. Findings suggest the need for additional resources combined with smoking cessation to reduce psychiatric and pain symptoms for high-risk populations.

Association of cigarette smoking, smoking cessation with the risk of cardiometabolic multimorbidity in the UK Biobank.

BACKGROUND: To investigate the association between cigarette smoking, smoking cessation and the trajectory of cardiometabolic multimorbidity (CMM), and further to examine the association of age at smoking initiation and smoking cessation with CMM. METHODS: This study included 298,984 UK Biobank participants without cardiometabolic diseases (CMDs) (including type 2 diabetes, coronary heart diseases, stroke, and hypertension) at baseline. Smoking status was categorized into former, current, and never smokers, with age at smoking initiation and smoking cessation as a proxy for current and former smokers. The multi-state model was performed to evaluate the association between cigarette smoking, smoking cessation and CMM. RESULTS: During a median follow-up of 13.2 years, 59,193 participants developed first cardiometabolic disease (FCMD), 14,090 further developed CMM, and 16,487 died. Compared to former smokers, current smokers had higher risk at all transitions, with hazard ratio (95% confidence interval) = 1.59 (1.55 ∼ 1.63) vs. 1.18 (1.16 ∼ 1.21) (P = 1.48 × 10- 118) from health to FCMD, 1.40 (1.33 ∼ 1.47) vs. 1.09 (1.05 ∼ 1.14) (P = 1.50 × 10- 18) from FCMD to CMM, and 2.87 (2.72 ∼ 3.03) vs. 1.38 (1.32 ∼ 1.45) (P < 0.001) from health, 2.16 (1.98 ∼ 2.35) vs. 1.25 (1.16 ∼ 1.34) (P = 1.18 × 10- 46) from FCMD, 2.02 (1.79 ∼ 2.28) vs. 1.22 (1.09 ∼ 1.35) (P = 3.93 × 10- 17) from CMM to death; whereas quitting smoking reduced the risk attributed to cigarette smoking by approximately 76.5% across all transitions. Reduced risks of smoking cessation were also identified when age at quitting smoking was used as a proxy for former smokers. CONCLUSIONS: Cigarette smoking was associated with a higher risk of CMM across all transitions; however, smoking cessation, especially before the age of 35, was associated with a significant decrease in CMM risk attributed to cigarette smoking.

Projection of the prevalence of tracheal, bronchus, and lung cancer incidence using cigarette smoking prevalence in Iran from 1990 to 2018: a comparison of latent period-based models with standard forecasting models.

BACKGROUND: Smoking is the major risk factor for tracheal, bronchus, and lung (TBL) cancers. We investigated the feasibility of projecting TBL cancer incidence using smoking incidence rates by incorporating a range of latent periods from the main risk factor exposure to TBL cancer diagnosis. METHODS: In this ecological study, we extracted data on TBL cancer incidence rates in Iran from 1990 to 2018 from the Global Burden of Disease (GBD) database. We also collected data on Iranian cigarette smoking patterns over the past 40 years through a literature review. The weighted average smoking incidence was calculated using a fixed-effects model with Comprehensive Meta-Analysis (CMA) software. Using these data, the five-year TBL cancer incidence in Iran was projected through time series modeling with IT Service Management (ITSM) 2000 software. A second model was developed based on cigarette smoking incidence using linear regression with SPSS (version 22), incorporating different latent periods. The results of these two models were compared to determine the best latent periods. RESULTS: An increasing trend in TBL cancer incidence was observed from 2019 to 2023 (first model: 10.30 [95% CI: 9.62, 10.99] to 11.42 [95% CI: 10.85, 11.99] per 100,000 people). In the second model, the most accurate prediction was obtained with latent periods of 17 to 20 years, with the best prediction using a 17-year latent period (10.13 to 11.40 per 100,000 people) and the smallest mean difference of 0.08 (0.84%) per 100,000 people using the standard forecasting model (the ARIMA model). CONCLUSION: Projecting an increase in TBL cancer incidence rates in the future, an optimal latent period of 17 to 20 years between exposure to cigarette smoke and TBL cancer incidence has implications for macrolevel preventive health policymaking to help reduce the burden of TBL cancer in upcoming years.

The "Gateway" hypothesis: evaluation of evidence and alternative explanations.

BACKGROUND: Electronic nicotine delivery systems (ENDS) offer a substantial harm reduction opportunity for adults who smoke and are unlikely to quit. However, a major concern about ENDS is their use by non-smoking youth, and particularly whether ENDS are acting as a "gateway" that leads youth to later start smoking cigarettes. However, evidence for the gateway hypothesis can be interpreted in alternative ways, e.g. that youth who have certain characteristics were already predisposed to use both ENDS and cigarettes ("common liability" explanation). AIMS: This commentary provides an evaluation of the gateway hypothesis that is accessible by a lay audience. This paper first reviews and evaluates the evidence interpreted as supporting the gateway hypothesis. Important alternative explanations (i.e., common liability) are discussed, as are different types of evidence (i.e., population-level trends) that can help differentiate between these competing explanations. OVERVIEW: Evidence for the gateway hypothesis is based on the finding that youth who use ENDS are more likely to also smoke cigarettes. However, this evidence suffers from an important flaw: these studies fail to fully account for some youths' pre-existing tendency to use products containing nicotine, and inappropriately interpret the results as ENDS use causing some youth to smoke. Common liability studies suggest that ENDS use does not, in and of itself, directly cause youth to later smoke cigarettes, beyond their pre-existing tendency to use products containing nicotine. Population-level trends show that youth cigarette smoking declined faster after ENDS use became common, which contradicts the central prediction of the gateway hypothesis (i.e. that youth smoking would be more common following ENDS uptake, than otherwise be expected). CONCLUSION: Evidence offered in support of the gateway hypothesis does not establish that ENDS use causes youth to also smoke cigarettes. Instead, this evidence is better interpreted as resulting from a common liability to use both ENDS and cigarettes. Population-level trends are inconsistent with the gateway hypothesis, and instead are consistent with (but do not prove) ENDS displacing cigarettes. Policies based on misinterpreting a causal gateway effect may be ineffective at best, and risk the negative unintended consequence of increased cigarette smoking.

Effects of cigarette smoking associated with sarcopenia in persons 60 years and older: a cross-sectional study in Zhejiang province.

PURPOSE: Smoking is a risk factor for sarcopenia. Nevertheless, few studies analyzed the independent effects of various smoking dimensions (duration, intensity, cumulative dose) on sarcopenia risk. This is a cross-sectional study based on an older population in Zhejiang Province to determine which smoking dimensions are mainly important for sarcopenia risk and to explore the dose-response relationship between them. METHODS: Our study included 783 patients with sarcopenia and 4918 non-sarcopenic individuals. Logistic regression and restricted cubic with logistic regression (for nonlinear dose effects) were used to obtain odds ratios (ORs) and 95% confidence intervals as well as restricted cubic splines (RCS) curves. RESULTS: Compared with never-smokers, current smokers had an increased risk of sarcopenia (OR = 1.786; 95% CI 1.387-2.301) after adjusting for confounders such as age, sex, education, alcohol consumption, disease history, etc. There was no significant association between smoking intensity and sarcopenia after more than 20 cigarettes per day (OR = 1.484; 95% CI 0.886-2.487), whereas the risk of sarcopenia increased significantly with increasing duration of smoking after more than 40 years (OR = 1.733; 95% CI 1.214-2.473). Meanwhile, there was a significant non-linear dose-response relationship between smoking duration or intensity and the risk of sarcopenia. However, the risk of sarcopenia increased linearly with the number of pack-years of smoking, which is not a significant nonlinear dose-response relationship. CONCLUSIONS: This study indicated the association between smoking and sarcopenia. Both smoking duration and cumulative dose were significantly and positively associated with sarcopenia. These findings reflect the important role of the number of years of smoking in increasing the risk of sarcopenia and provide scientific evidence that different smoking dimensions may influence the risk of the sarcopenia.

The prospective relationship between a-priori intentions for and patterns of e-cigarette use among adults who smoke cigarettes.

BACKGROUND: Electronic (e-)cigarettes may help adult cigarette smokers achieve cigarette cessation, depending on patterns of e-cigarette use. Among cigarette smokers who do not use e-cigarettes, it is unclear if and how a-priori intentions for use are related to uptake patterns. Longitudinal studies have focused on established e-cigarette users or adolescent and young adult populations exclusively. METHODS: Within a nationwide randomized clinical trial (N = 638), adult cigarette smokers not currently using e-cigarettes were randomized (2:1) to receive (or not) one-month sampling of e-cigarettes. An exploratory factor analysis (EFA) was performed on an established 15-item measure assessing a-priori intentions for e-cigarette use to identify latent variables. Among those receiving e-cigarette products, regression models examined relationships between intentions and: 1) uptake (yes/no), 2) frequency (number of days per week), and 3) amount (puffing episodes per day) of e-cigarette use at one-month follow-up. RESULTS: Two factors emerged from the EFA: 1) cigarette-related intentions (e.g., cigarette cessation, no smell) and 2) novel appeal of e-cigarettes (e.g., flavors). Three items remained and were treated as separate intentions: "feels like cigarette smoking", "curiosity", and "affordability". In the final multivariable models, "feel like cigarette smoking" predicted more frequent e-cigarette use (ß = 0.187, SE = 0.086, p = 0.03); however, none of the five factors/intentions were significantly associated with uptake or amount of use. CONCLUSIONS: For adult cigarette smokers not currently using e-cigarettes, a-priori intentions for using e-cigarettes might not be predictive of if or how these products will be used in the future, suggesting that motives may not drive use behavior.

Reasons for multiple tobacco product and cannabis co-use among Texas young adults.

OBJECTIVE: This study examines differences in reasons for e-cigarette, cigarette, and cannabis use across exclusive, dual, co-, and poly co-users. METHODS: Participants were 645 young adults who reported past 30-day (P30D) use of e-cigarettes, cigarettes, or cannabis at wave 14 (Fall, 2021) of the Texas Adolescent Tobacco Marketing and Surveillance System (TATAMS). Exclusive users reported P30D use of one product, dual users reported P30D use of e-cigarettes and cigarettes, co-users reported use of cannabis and one tobacco product, and poly co-users reported P30D use of all three products. Participants were asked if they agreed with a series of reasons for using their respective products. Multinomial logistic regression analyses were conducted to examine associations between reasons for use and pattern of use, controlling for sex, race/ethnicity, and lifetime product use. RESULTS: 26.36 % of P30D users reported cannabis and tobacco use. Poly co-users were more likely to report using e-cigarettes because their friends do than e-cigarette co-users (aRRR = 2.64; 95 %CI = 1.19-5.83) and dual tobacco users (aRRR = 5.11; 95 %CI = 1.73-15.12). Poly co-users were more likely to smoke cigarettes while drinking alcohol (aRRR = 4.68; 95 %CI = 1.06-20.72) or to experience a pleasurable buzz (aRRR = 5.48; 95 %CI = 1.62-18.57) than exclusive cigarette users. Poly co-users more often reported using cannabis for taste (aRRR = 3.13; 95 %CI = 1.51-6.51), because their friends use it (aRRR = 2.19; 95 %CI = 1.08-4.42), and while drinking alcohol (aRRR = 2.13; 95 %CI = 1.03-4.41) than exclusive cannabis users. CONCLUSIONS: Given that reasons for use differ significantly among types of multiple product users and exclusive users, interventions should be tailored to address the specific tobacco and cannabis use practices of young adults.

Trends in marijuana and heavy alcohol use by cigarette smoking status among US adults: An analysis of the 2002-2019 NSDUH.

BACKGROUND: Polysubstance use is associated with adverse health outcomes, yet little research has measured changes in polysubstance use. We aimed to 1) estimate trends in marijuana and heavy alcohol use by cigarette smoking and demographic subgroups, and 2) examine patient factors associated with concurrent use among adults who were smoking. METHODS: We conducted a repeated cross-sectional analysis of 687,225 non-institutionalized US adults ≥18 years from the 2002-2019 National Survey on Drug Use and Health. Participants were stratified into current, former, and never smoking groups. Main outcomes were prevalence of heavy alcohol use, marijuana use, and concurrent use of both substances. RESULTS: From 2002-2019, heavy alcohol use declined from 7.8 % to 6.4 %, marijuana use rose from 6.0 % to 11.8 %, and concurrent use of alcohol and marijuana remained stable. Among adults who were smoking from 2005 to 2019, higher education was associated with higher odds of heavy alcohol use, while older ages, female gender, non-White race/ethnicity, and government-provided health insurance were associated with lower odds. The odds of marijuana use decreased in females, older ages, and higher incomes while increasing in people with poorer health status, higher education, government-provided or no health insurance, and serious mental illness. Compared to White adults who were smoking, Black counterparts had higher odds of marijuana use (OR=1.23; 95 %CI: 1.15-1.29), while Hispanic (OR=0.68; 95 %CI: 0.63-0.72) and other racial/ethnic identities (OR=0.83; 95 %CI: 0.77-0.90) had lower odds. CONCLUSIONS: Our study suggests marijuana use might not be sensitive to changes in the use of tobacco and alcohol.

Impact of Cigarette Smoking on Clinical Presentation and Treatment Response in Coeliac Disease.

BACKGROUND AND AIMS: The environmental factors, apart from gluten ingestion predisposing to coeliac disease are poorly known. Smoking is associated with many immune-mediated diseases, but research on coeliac disease is scarce. This study aims to investigate how smoking affects the clinical presentation, presence of comorbidities and response to gluten-free diet in coeliac disease. METHODS: Altogether 815 adults with coeliac disease participated in a nationwide cross-sectional study. Participants were interviewed and smoking habits (never, former, or current smoker), clinical presentation of coeliac disease and presence of comorbidities were elicited. Serology and severity of small bowel mucosal lesions at diagnosis were gathered from the participants' medical records and follow-up serology was measured. Gastrointestinal symptoms and psychological well-being were assessed using validated questionnaires. RESULTS: Current smokers were more often male and were diagnosed at younger ages than never or former smokers. There were no differences between the groups in clinical presentation, severity of symptoms or mucosal lesions at diagnosis or in dietary compliance and clinical, serological, and histological recovery. Musculoskeletal disorders, particularly osteoporosis and osteopenia, were more common in never smokers than in other groups (14.5% vs. 5.1% and 4.1%, p<0.001), and cardiovascular disorders were diagnosed more often in former smokers (36.2% vs. 23.5% and 21.9%, p=0.003). CONCLUSIONS: Smoking does not seem to have an impact on the clinical presentation, severity of symptoms or mucosal damage in coeliac disease. Histological and clinical recovery as well as seroconversion on gluten-free diet are not affected by smoking status.

Cardiometabolic Profile in Young Adults With Diverse Cigarette Smoking Histories: A Longitudinal Study From Adolescence.

BACKGROUND: For the first time, the present study investigated smoking trajectory and cardiometabolic profile from adolescence to young adulthood in a middle-income developing country facing a high prevalence of smoking and cardiovascular disease-related outcomes. METHODS AND RESULTS: Data on 1082 adolescents (12-18 years of age) who participated in the TLGS (Tehran Lipid and Glucose Study) were gathered, and participants were followed for a median of 12.5 years (baseline: 1999-2002, last follow-up: 2014-2017). Participants were categorized as non/rare smokers, experimenters, and escalators using group-based trajectory models. Statistical analysis was used to compare the trajectory groups' cardiometabolic components, clinical characteristics, and cardiometabolic changes due to the individuals' placement in experimenter and escalator groups compared with non/rare smokers. The smoking trajectory groups in young adulthood differ significantly in blood pressure, triglycerides, high-density lipoprotein cholesterol, waist circumference, and body mass index, with the escalator group having the highest risk values for each component. Significant differences were observed in blood pressure (P=0.014), triglycerides (P<0.001), and waist circumference (P<0.001) status after using clinical cut points. The adjusted linear regression revealed that the escalator group had 3.16 mm Hg-lower systolic blood pressure SBP (P=0.016), 2.69 mm Hg-lower diastolic blood pressure (P=0.011), and 4.42 mg/dL-lower high-density lipoprotein cholesterol (P=0.002), compared with the non/rare smoker group. CONCLUSIONS: Despite elevated risks in unadjusted analyses for all cardiometabolic components among smokers, our study identified a modest protective link between early smoking and blood pressure in addition to a remarkable harmful association with high-density lipoprotein cholesterol levels exclusively in the escalator group during the developmental stage to young adulthood, using adjusted analyses.

Prevalence and Trends in Cigarette Smoking With and Without Tobacco Use Disorder Among Adults in the United States: 2010-2021.

Objective: Few national estimates are available on the prevalence of tobacco use disorder (TUD) in the United States (US), and most trials exclusively assess daily smoking rather than TUD. We examined the prevalence and trends in cigarette smoking with vs without TUD among adults.Methods: Data came from the 2010-2021 National Survey on Drug Use and Health (n = 483,982), a cross sectional, US representative dataset. A TUD composite variable was created based on established definitions (eg, DSM-5 symptoms). Weighted prevalence of past 30-day cigarette smoking, daily smoking (30/30 days) and nondaily smoking (<30/30 days) with and without TUD, was calculated annually.Results: In 2021, the prevalence of past 30- day overall cigarette smoking was 17%; 11% reported daily cigarette smoking, whereas 6% reported nondaily cigarette smoking. Only 1% of the population reported daily smoking without TUD, whereas 10% reported daily smoking with TUD. Two percent of the population reported nondaily smoking without TUD, and 4% of the population reported nondaily smoking with TUD. Daily smoking with TUD and nondaily smoking with and without TUD decreased significantly from 2010 to 2021 (all P's < .001). US adults reporting TUD symptoms (vs not) were more likely to be older, identify as White, have lower income and less education, and have a substance use disorder.Conclusions: The prevalence of daily cigarette smoking with TUD was 10× higher than the prevalence of daily cigarette smoking without TUD. Twice as many US adults with nondaily smoking reported TUD than no TUD, illustrating that daily smoking is not necessary for TUD.

Association between illegal drug use and cigarette smoking among Ethiopian students: A systematic review and meta-analysis.

INTRODUCTION: Cigarette smoking is a persistent public health problem as it is a risk factor for many diseases. Previous studies on the role of illegal drug use in cigarette smoking have yielded disparate and inconclusive results, hindering the development of effective intervention strategies to address this issue. Therefore, this systematic review and meta-analysis aimed to estimate the pooled prevalence of cigarette smoking and its associated factors, with a specific focus on the influence of illegal drug use among students in Ethiopia. METHODS: We conducted a comprehensive search of international databases, including PubMed, Cochrane Library, Science Direct, CINAHL, African Journals Online, HINARI, Global Health, and Google and Google Scholar. Grey literature was also identified from various university digital libraries. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA) guidelines. Due to the high heterogeneity among the included studies (I2 = 98.6%; p-value <0.001), we employed a random-effects model with a 95% confidence interval (CI) to estimate the pooled effect using STATA 14 software. The publication bias was assessed using a statistical Egger regression test. RESULTS: A total of 22 studies involving 18,144 students met the eligibility criteria for this systematic review and meta-analysis. The pooled prevalence of lifetime and current cigarette smoking among students in Ethiopia was 13.8% (95% CI: 9.90-17.82) and 9.61% (95% CI: 7.19-12.03), respectively. Students who used illegal drugs were twenty-three times more likely to smoke cigarettes compared to their counterparts (OR = 23.57, 95% CI: 10.87-51.1). Living in urban settings (OR = 2.9; 95% CI: 1.15-7.28) and the habit of alcohol consumption (OR = 4.79; 95% CI: 1.57-14.64) were also identified as factors associated with cigarette smoking. CONCLUSIONS: We found that more than one in eight students in Ethiopia have engaged in lifetime cigarette smoking. Notably, students who used illegal drugs exhibited a significantly higher likelihood of cigarette smoking. In light of these findings, it is imperative to implement comprehensive public health interventions that target illegal drug use, cigarette smoking, and alcohol consumption, with a particular emphasis on urban residents.

Correlation between cigarette smoking and alcohol consumption and Rosacea: A two-sample Mendelian randomization study.

BACKGROUND: Controversy persists regarding the causal relationship between Cigarette smoking, alcohol consumption, and Rosacea. This paper employs the Mendelian randomization (MR) method to elucidate the correlation between Cigarette smoking, alcohol consumption, and Rosacea. The aim is to contribute valuable insights to aid in the prevention and early treatment of Rosacea. METHOD: Summary datasets for cigarette smoking parameters (Cigarettes smoked per day, Smoking status: Previous, smoking status: Current) and alcohol consumption (Alcoholic drinks per week) were selected alongside data for Rosacea from genome-wide association studies (GWAS). The Two-sample MR method was employed to analyze the correlation between cigarette smoking, alcohol consumption, and Rosacea. Various MR analysis methods, including inverse variance weighting (IVW), MR-Egger, Simple Mode, Weighted Mode, and Weighted Median, were chosen. IVW served as the primary analysis method. RESULTS: The results indicate a significant negative association between Cigarettes smoked per day and Rosacea. Moreover, a significant positive correlation was observed between Smoking status: Previous and Rosacea. However, no significant associations were found between Smoking status: Current, Alcoholic drinks per week, and Rosacea. CONCLUSION: This study provides further clarity on the association between cigarette smoking, drinking, and Rosacea through a two-sample MR analysis. Notably, the number of cigarettes smoked per day appears to be associated with a reduced incidence of Rosacea, while cigarette smoking cessation may increase the risk. Surprisingly, alcohol consumption does not emerge as a significant risk factor for Rosacea. These findings contribute to a nuanced understanding of the complex relationship between lifestyle factors and the occurrence of Rosacea, offering potential insights for preventive measures and early intervention.

A systematic review and meta-analysis of the association between e-cigarette use among non-tobacco users and initiating smoking of combustible cigarettes.

INTRODUCTION: The rapid increase in e-cigarette use over the past decade has triggered an important public health question on the potential association between e-cigarette use and combustible cigarette smoking. Following AMSTAR 2 and PRISMA guidelines, this evidence synthesis sought to identify and characterize any associations between e-cigarette use among individuals not smoking cigarettes and initiation of cigarette smoking. METHODS: The protocol was registered on September 24, 2018 (PROSPERO 2018 CRD42018108540). Three databases were queried from January 01, 2007 to April 26, 2023. Search results were screened using the PICOS review method. RESULTS: Among 55 included studies (40 "good" and 15 "fair"; evidence grade: "high") that adjusted for gender, age, and race/ethnicity between groups, generally, there was a significant association between non-regular e-cigarette use and initiation of cigarette smoking, further supported by the meta-analytic results (AOR 3.71; 95% CI 2.86-4.81). However, smoking initiation was most often measured as ever/current cigarette smoking. Two studies (quality: 2 "good") evaluated progression to regular cigarette smoking among individuals with regular use of e-cigarettes, and generally found no significant associations. One study ("good") evaluated smoking initiation among individuals with regular use of e-cigarettes, finding an increasing probability of ever smoking cigarettes with increased e-cigarette use. Twelve studies (10 "good" and two "fair") examining progression to regular smoking among individuals with non-regular use of e-cigarettes reported inconsistent findings. CONCLUSIONS: Numerous methodological flaws in the body of literature limit the generalizability of these results to all individuals who are not smoking cigarettes with few studies measuring established/regular use/smoking of e-cigarettes and cigarettes. Further, studies did not control adequately for specific confounding variables representing common liabilities between e-cigarette use and cigarette smoking, nor did they account for sufficient follow-up durations. Collectively, these flaws limit the generalizability of findings to the question of an association between e-cigarette use and cigarette smoking initiation.

Association between lipid profiles and cigarette smoke among adults in the Persian cohort (Shahedieh) study.

OBJECTIVES: Exposure to cigarette smoke introduces a large amount of nicotine into the bloodstream through the lungs. So, smoking can be a risk factor for many diseases. The present study was conducted to investigate the effect of active and passive cigarette smoke on the blood lipid profile and dyslipidemia. METHODS: This cross-sectional study was performed on 5052 individuals who participated in the recruitment phase of the Shahedieh cohort study. A logistic regression model was used to investigate the relationship between smoking exposure status and lipid profiles. RESULTS: The prevalence of abnormal low-density lipoprotein-cholesterol (LDL-C), abnormal HDL-C, abnormal total cholesterol (TC), abnormal triglyceride (TG), and dyslipidemia were 254 (5.00%), 562 (11.10%), 470 (9.30%), 1008 (20.00%), and 1527 (30.20%), respectively. Adjusting for confounders, it was observed that current smokers had higher odds of having abnormal HDL-C [OR (95% CI), 2.90 (2.28-3.69)], abnormal TG [OR (95% CI), 1.71 (1.38-2.13)] and dyslipidemia [OR (95% CI), 1.86 (1.53-2.25)]. Ex-smokers also had greater odds of abnormal HDL-C [OR (95% CI), 1.51 (1.06-2.16)] compared to non-smokers who were not exposed to cigarette smoke. CONCLUSIONS: The findings indicated that current smokers had higher TG and lower HDL. So, necessary measures should be taken to reduce smoking. The findings also showed that the prevalence of abnormal TG and HDL in ex-smokers was lower than in current smokers. Therefore, the existence of incentive policies to quit smoking seems necessary.

Association between loneliness and cigarette smoking attitudes among university students in Iran: a cross-sectional study.

OBJECTIVES: During the last two decades, cigarette smoking witnessed a global increase in use, especially among youth. Loneliness is one of the possible psychosocial determinants of smoking. This study examined the association between loneliness and attitudes towards cigarette smoking among university students of Iran. DESIGN: Cross-sectional study. SETTING AND PARTICIPANTS: This study was conducted among 538 university students, who were recruited using the cluster random sampling method. Loneliness and smoking attitudes of the samples were assessed using the revised version of the University of California Los Angeles Loneliness Scale and the Scale of Cigarette Smoking Attitude (CSA). Descriptive statistics, Pearson's correlation coefficient and multivariable regression analysis were used to analyse the data. RESULTS: From a total of 538 participants, 301 (59.9%) students were young women. The mean age of the students was 22.2±2.9 years. Only 56 (10.4%) of the students were married and 370 (87.9%) of them were lived with their families. 131 (24.3%) students experienced cigarette smoking. In terms of university-related characteristics, 205 (38.1%) of the students studied in the faculty of medicine. Also, 30% of the students had a positive or indifferent attitude towards smoking, while 26.4% of the students reported feeling lonely. The mean scores for loneliness and CSA were 41.42±11.29 and 48.64±11.2, respectively. Statistically, a significant positive correlation was found between loneliness and CSA (r=0.289; p<0.001). After controlling for potential confounders by regression analysis, loneliness scores were also positively associated with CSA scores (B: 0.14; 95% CI 0.097 to 0.18). CONCLUSIONS: According to the positive association between loneliness and students' CSA, paying more attention to the state of loneliness in college students, examining situations and reasons that increase it and identifying the interventions that might reduce it are necessary. Reducing loneliness among college students can correct their attitudes towards smoking.

The interaction between diet quality and cigarette smoking on the incidence of hypertension, stroke, cardiovascular diseases, and all-cause mortality.

This study aimed to examine the interaction between diet quality indices (DQIs) and smoking on the incidence of hypertension (HTN), stroke, cardiovascular diseases, and all-cause mortality. We prospectively followed 5720 participants and collected dietary data via a validated food frequency questionnaire to calculate DQI-international (DQI-I) and DQI-revised (DQI-R). Considering an interaction analysis, we classified participants based on diet quality (median: higher/lower) and smoking status. Over 9 years of follow-up, higher diet quality scores were associated with a lower risk of stroke and mortality. While current smokers had a higher risk of stroke and mortality but had a lower risk of developing HTN. Compared to the current smokers with lower diet quality, nonsmokers with higher diet quality according to the DQI-I [HR 0.24; 95% CI (0.08, 0.66)], and DQI-R [HR 0.20; 95% CI (0.07, 0.57)] had a lower risk of stroke. Moreover, the lower risk of mortality was more evident in nonsmokers with higher DQI-I [HR 0.40; 95% CI (0.22-0.75)] and DQI-R scores [HR 0.34; 95% CI (0.18-0.63)] compared to nonsmokers with lower diet quality. While higher DQI-I and DQI-R scores were associated with a lower risk of stroke and mortality, this beneficial effect may be negated by smoking.

Tobacco policies and changes in the tendency of smoking cessation in cigarette users in Chile: a longitudinal cross-sectional study.

OBJECTIVE: To assess the impact of tobacco control regulations and policy implementation on smoking cessation tendencies in cigarette users born between 1982 and 1991 in Chile. DESIGN: Longitudinal cross-sectional study. SETTING: National level. PARTICIPANTS: Data from the National Survey of Drug Consumption (Service of Prevention and Rehabilitation for Drug and Alcohol Consumption). A pseudo-cohort of smokers born between 1982 and 1991 (N=17 905) was tracked from 2002 to 2016. PRIMARY AND SECONDARY OUTCOMES MEASURES: Primary outcome was the tendency to cease smoking conceptualised as the report of using cigarettes 1 month or more ago relative to using cigarettes in the last 30 days. The main exposure variable was the Tobacco Policy Index-tracking tobacco policy changes over time. Logistic regression, controlling for various factors, was applied. RESULTS: Models suggested a 14% increase in the smoking cessation tendency of individuals using cigarettes 1 month or more ago relative to those using cigarettes in the last 30 days (OR 1.14, CI 95% CI 1.10 to 1.19) for each point increment in the Tobacco Policy index. CONCLUSIONS: Our study contributes to documenting a positive impact of the implementation of interventions considered in the MPOWER strategy in the progression of smoking cessation tendencies in smokers born between 1982 and 1991 in Chile.