Tobacco Induced Diseases最新文献

Introduction: Smoking elevates catecholamines that increase the risk for cardiovascular disease. Sparse evidence exists about the effects of e-cigarettes and catecholamines. Higher levels of catecholamines could trigger the increased heart rate, blood pressure, and decreased vascular function reported with the use of e-cigarettes. We investigated the difference in urinary catecholamines and their metabolites before and after the use of an e-cigarette containing nicotine or cigarettes compared to no tobacco use.

Methods: In our observational cohort exposure study, healthy adults aged 21-45 years who were currently using e-cigarettes, cigarettes, or had never used tobacco, participated in an acute exposure visit using their most common tobacco product. Urine was collected before, 1, and 2 hours after a 3-second puff every 30 seconds for 10 minutes on an e-cigarette or straw or use of 1 cigarette. Urinary catecholamines and their metabolites were measured by ultra-high-performance liquid chromatography. Participants (n=323) were grouped by the product used at the visit. We compared levels of creatinine normalized log-transformed urinary catecholamines and their metabolites across groups using Dunn's test following a Kruskal-Wallis test in unadjusted and demographically adjusted models.

Results: Prior to use, individuals who used cigarettes (n=70) had lower urinary metabolites from epinephrine, serotonin, and norepinephrine. No differences were seen in those who used e-cigarettes (n=171) and those who did not use tobacco (n=82). In fully adjusted models, 1 h after the use of a combustible or e-cigarette, log-transformed urinary metabolites from norepinephrine (β=1.22; 95% CI: 0.39-2.05, p=0.004 and β=1.06; 95% CI: 0.39-1.74, p=0.002), dopamine (β=0.37; 95% CI: 0.24-0.5, p<0.001 and β=0.15; 95% CI: 0.05-0.26, p<0.001), and epinephrine (β=1.89; 95% CI: 0.51-3.27, p=0.008 and β=1.49; 95% CI: 0.38-2.61, p=0.009) were elevated. In fully adjusted models, combustible cigarette use was associated with elevated urinary norepinephrine (β=0.46; 95% CI: 0.13-0.81, p=0.007) and dopamine (β=0.19; 95% CI: 0.06-0.31, p=0.003) 1 h after use.

Conclusions: We found that the use of both e-cigarettes and cigarettes was associated with elevated urinary catecholamines or their metabolites. Catecholamines could be useful as a biomarker of harm for tobacco use and considered by tobacco regulatory scientists in future research.

Introduction: The effectiveness of nicotine replacement therapy (NRT) in critically ill patients remains uncertain, as conflicting research results have been reported. Despite potential side effects and inconsistent data on safety and efficacy, NRT is still prescribed in intensive care units (ICUs) to prevent withdrawal symptoms and manage agitation in patients who are smokers. This meta-analysis aimed to assess the effectiveness of nicotine replacement therapy in critically ill smoking patients.

Methods: A systematic review and meta-analysis of randomized controlled trials investigated the outcomes of smokers admitted to ICUs and were randomized either to receive or not receive nicotine replacement therapy (NRT) during their ICU stay. The MEDLINE and Embase databases were searched from inception through 13 February 2023 using OVID. The primary outcome was ICU length of stay (LOS) for this systematic review and meta-analysis. Meta-analysis was conducted using both random-effects and fixed-effect models; the latter is recommended when meta-analysis is restricted to just a few studies. The study was registered in the Prospective International Register of Systematic Reviews (PROSPERO) under reference number CRD42023407804.

Results: Of 28 studies initially identified, three, with 67 patients on NRT and 72 controls, were deemed eligible for pooled analysis. Patients who received NRT experienced a shorter LOS (mean difference, MD= -3.06; 95% CI: -5.88 - -0.25, p=0.0, I²=0%). The mechanical ventilation (MV) duration was also shorter in the NRT group, but this difference was not statistically significant (MD= -1.24; 95% CI: -3.21-0.72, p=0.22, I²=12.69%). Delirium duration was reported by two studies, from which pooled analysis revealed an MD of -0.50 (95% CI: -1.63-0.62, I²=0%). The vasopressor duration was assessed in two studies, and the overall MD for vasopressor duration was not statistically different between NRT patients and controls in the fixed-effects model (MD=0.11; 95% CI: -0.75-0.96, I²=0%).

Conclusions: Critically ill smoker patients who received NRT experienced a significantly shorter ICU LOS but no significant differences in the durations of MV, vasopressor use, or delirium.

Introduction: The prevalence of smoking, including heated tobacco products (HTPs), among Japanese dentists was reported to be 16.5%, significantly higher than that among Japanese physicians and United States dentists. However, large-scale studies on smoking cessation implementation based on dentists' smoking status and perceptions since the introduction of HTPs are lacking. Therefore, we aimed to investigate and assess dentists' attitudes toward smoking, including HTP use and smoking cessation, according to smoking status.

Methods: A self-administered questionnaire comprising six major items was mailed to 3883 dentists who were members of the Aichi Dental Association in August 2019. The primary outcome was smoking cessation status. The secondary outcome was the impact of smoking on intervention for smoking cessation. This study was reported using the Strengthening the Reporting of Observational Studies in Epidemiology guidelines.

Results: Among the 1317 (42%) dentists analyzed, men were more positive toward smoking than women. Current and former smokers were more positive about smoking than never smokers/users, regardless of the tobacco product type. Additionally, the current smoker group using conventional cigarettes was less likely to ask for their patients' smoking status than the never smoker group. Furthermore, the current smoker (OR=2.0; 95% CI: 1.3-3.1 vs never smoker) and HTP user (OR=1.9; 95% CI: 1.2-3.1 vs never user) groups were less likely to engage in smoking cessation than the never smoker/user groups, regardless of the tobacco product type.

Conclusions: Since the smoking status of dentists affects the implementation of smoking cessation interventions, it is crucial to encourage them to quit using all tobacco products to promote smoking cessation interventions in dental practice. Additionally, providing proper smoking prevention education to dentists is an important task.

Introduction: The research regarding the effect of hookah smoking on health is still deficient, even though it has been proven to jeopardize human health by raising the hazard of different types of cancers, infections, and cardiovascular disease. We aimed to study the effect of dual tobacco smoking (hookah and cigarettes) on semen parameters of infertile men.

Methods: In this cross-sectional study, we studied the effect of different types of smoking patterns on human semen parameters among men who visited IVF laboratories to do a seminal fluid analysis (SFA). A total number of 761 participants were included, divided into the following: 108 dual smokers, 219 hookah smokers, 222 cigarette smokers, and 212 non-smokers. To analyze the effect of dual smoking on normal morphology, an interaction term between the cigarette index and hookah index was used.

Results: Multivariable regression analysis after adjustment for age, BMI, education level, children, chronic diseases, varicocele, testicular surgery history, infertility duration, and cause revealed no significant difference in the sperm concentration and the percentage of progressive motility between non-smokers, cigarette smokers, or hookah smokers. However, there was a significant difference in the log of normal morphology percentage between the three groups. Cigarette and hookah smoking were significantly associated with having lower percentages of normal morphology. There was a significant difference in the log-normal morphology %, where light and heavy dual smokers had the least exponential beta of log-normal morphology %, 0.43 (95% CI: 0.33-0.55) and 0.36 (95% CI: 0.24-0.53), respectively.

Conclusions: Dual tobacco smoking can adversely affect sperm morphology.

Introduction: Singapore phased in standardized tobacco packaging on 1 July 2020 following a three-month grace period. This pre-post study evaluated its impacts on smoking-related behaviors and perceptions among adults who currently smoke.

Methods: Baseline and follow-up data were collected in a pre- and post-questionnaire from a cohort of 1873 Singaporean adults who were currently smoking at baseline. Baseline data were collected from December 2019 to May 2020, and follow-up data from July 2021 to September 2021. We used descriptive statistics and bivariate analyses to assess pre-post changes (Bhapkar's test, Wilcoxon signed rank test) and to identify characteristics of participants who had quit or cut down smoking at follow-up (Pearson's chi-squared, Fisher's exact test).

Results: At follow-up, 11.7% (n=220) had quit smoking. There was a higher proportion of those smoking non-daily (pre: 13.1%, post: 16.9%; p<0.001), and those intending to quit within the next year (pre: 14.8%, post: 17.5%; p<0.05) or six months (pre: 10.4%, post: 13.2%; p<0.01). Tobacco products were scored more negatively in relation to packaging, quality, satisfaction, value for money and overall appeal (scores pre: 15.9, post: 14.3; p<0.001), harmfulness (scores pre: 0.61, post: 0.54; p<0.05), noticing others smoking the same brand (scores pre: 1.92, post: 1.65; p<0.001), and considering quitting due to health warnings (scores pre: 0.81, post: 0.86, p<0.05). Fewer reported that some cigarette brands have higher prestige (pre: 58.0, post: 54.3%; p<0.01), and more reported using flavored cigarettes (pre: 42.2%, post: 60.1%; p<0.001) and e-cigarettes (pre: 4.2%, post: 6.1%; p<0.01).

Conclusions: In Singapore, the changes observed before and after the implementation of standardized packaging suggest that it might be associated with quit-related outcomes, reduced tobacco product appeal, and increased effectiveness of graphic health warnings.

Introduction: In this study we estimate the burden of esophageal cancer (EC) in China and globally from 1990 to 2021, with a forecast to 2035, using Global Burden of Disease (GBD) data. We also analyze the related risk factors to investigate burden trends.

Methods: Mortality, disability-adjusted life years (DALYs), crude rates, and age-standardized rates of EC were analyzed in China and globally from 1990 to 2035, utilizing GBD open data as a secondary dataset analysis of GBD data. Temporal change trends of EC risk factors were analyzed from 1990 to 2021. Joinpoint regression determined average annual percentage change (AAPC) of age-standardized rates. Descriptive analysis compared mortality and DALYs by age groups. Bayesian age-period-cohort (BAPC) predicted age-standardized mortality and DALYs rates for the next 14 years.

Results: The ASMR and ASDR fluctuations in EC were significant in China, showing an overall downward trend. Globally, although there was also a downward trend, the fluctuations were relatively mild. The number of deaths and DALYs related to EC in China and globally showed a significant upward trend. Age-specific burden trends in China for EC indicated that the age group with the peak number of EC deaths shifted to the 70-74 years age group in 2021, while DALYs peaked in the 65-69 years age group. The crude mortality rate (CMR) peaked consistently in 1990 and 2021, both within the 90-94 years age range, while the crude DALY rate (CDR) shifted to the 85-89 years age group. Overall, the burden of EC deaths and DALYs in the population aged <40 years was relatively low, increasing rapidly after the age of 40 years, reaching a peak and gradually declining, and reaching a lower level after the age of 85 years. The predictive results of the BAPC model indicated that over the next 14 years, both ASMR and ASDR for EC in China and globally would show a slight overall increase. The GBD 2021 study identified smoking, high alcohol use, chewing tobacco, and diet low in vegetables as the main risk factors affecting EC mortality rate and DALYs. Among these, smoking and alcohol use were the most significant risk factors, with a higher impact on EC in China compared to the global level. From 1990 to 2021, the overall changes in ASMR and ASDR indicate a decreasing trend in the impact of these four risk factors on EC mortality rate and DALYs.

Conclusions: The burden of EC is expected to steadily increase in China and globally until 2035, posing a significant challenge. Targeted prevention and control policies, such as calling on people to quit smoking and reduce alcohol use, may help curb this upward trend.

Introduction: 'Teachable moments', such as inpatient treatment periods, can be turned into opportunities for smokers to acquire healthy living behaviors. This study was conducted to evaluate the outcomes of smoking cessation interventions in an inpatient hospital setting.

Methods: Data were collected for this single-arm prospective intervention cohort study between October 2021 and March 2022 from hospitalized patients at Recep Tayyip Erdoğan University Training and Research Hospital in Türkiye. Smoker patients received smoking cessation counseling and brief smoking cessation interventions during their hospitalization and were informed about how to apply to our hospital's smoking cessation outpatient clinic after discharge. They were followed via phone on the 3rd, 5th, and 7th day and the 1st, 3rd, 6th, and 12th month after their discharge, regarding their quit status as well as admissions to smoking cessation clinics. Quitters were confirmed by exhaled air carbon monoxide testing. Logistic regression analysis was performed to evaluate the presence of admission to the emergency department and family physicians at follow-up at 1st year. The model was adjusted in terms of age, sex, presence of malignancy, and education level.

Results: Of the 183 patients included in the study, 163 participants completed periodic follow-up during one year, with quit rate of 47.2%. The rate of anxiety was higher among non-quitters compared to quitters (9.4% vs 1.2%) (p=0.024). Non-quitters were 19 times more likely to have emergency department admissions (AOR=19.64; 95% CI: 8.08-47.68) and eight times more likely to have family doctor visits (AOR=8.43; 95% CI: 4.05-17.53) than quitters.

Conclusions: This cessation program evaluated the quit rates of hospitalized patients in the first year and revealed that the rate of anxiety was higher in non-quitters compared to quitters. It would be an important approach to include psychiatric support in this practice.

Introduction: Approximately 60 million individuals worldwide used opioids in 2021, constituting 1.2% of the global adult population. This study aimed to evaluate the effectiveness of integrated treatment strategies for opioid use disorder and nicotine use disorder by assessing the impact of smoking cessation within a methadone treatment framework.

Methods: In a retrospective cohort study, 53 methadone maintenance patients were divided into 16 treatment-seeking smokers (TSS) and 37 treatment-rejecting smokers (TRS) based on their participation in the Ottawa model for smoking cessation plus 16 weeks of varenicline treatment. Both groups received standard methadone treatment for 68 weeks. TSS were followed up for 44 weeks to assess smoking cessation outcomes, while TRS had none due to their lack of participation in smoking cessation treatment.

Results: The median age of the TSS group was 48 years, while that of the TRS group was 45.5 years. Males comprised 75% of TSS and 94.6% of the TRS. TSS exhibited an 83% decrease in positive opioid screen results compared to TRS (p=0.023). In TSS, peak smoking cessation success was observed at week 20, with 57% of participants maintaining carbon monoxide levels <5 ppm.

Conclusions: The significant reduction in positive opioid screens and the high smoking cessation rate in the TSS group highlight the efficacy of combined treatment methods. This study underscores the advantages of integrating smoking cessation with methadone maintenance treatment, indicating that comprehensive approaches can substantially improve treatment outcomes.

Introduction: Among women at risk for alcohol-exposed pregnancies (AEP), smoking tobacco may be associated with increased severity of alcohol use, and risk for tobacco-exposed and other substance-exposed pregnancies (TEPs/SEPs). Our secondary data analysis of the 'CHOICES Plus' intervention trial explored AEP and SEP risk by smoking status.

Methods: Eligible women (N=261) were recruited from 12 primary care clinics in a public healthcare system, not pregnant, aged 18-44 years, drinking >3 drinks/day or >7 drinks/week, sexually active, and not using effective contraception. We compared women who did and did not smoke tobacco on alcohol and drug severity, and psychological distress (e.g. anxiety) at baseline.

Results: Participants were primarily Hispanic (47.1%) or non-Hispanic Black (41.8%) and reported incomes <$20000/year (69.3%). Tobacco smoking prevalence was 45.2%. Compared to non-smokers, those who smoked drank more days/week (mean=3.3, SD=2.0 vs mean=2.7, SD=1.8, p<0.01), had higher alcohol use disorders identification test (AUDIT) scores (mean=12.1, SD=7.6 vs mean=9.8, SD=7.1, p<0.05), were more likely to report current drug use (66.1% vs 48.3%, p<0.01), and had a greater number of (lifetime) drugs used (mean=3.0, SD=2.0 vs mean=2.0, SD=1.5 days, p<0.0001). Also, those who smoked reported greater levels of anxiety (mean=5.9, SD=5.6 vs mean=4.5, SD=4.9, p<0.05), lower confidence to not drink (mean=2.8, SD=0.8 vs mean=3.1, SD=1.0, p<0.01), lower confidence to reduce risky drinking (mean=6.3, SD=3.1 vs mean=7.3, SD=2.8, p<0.0001), greater drinking temptations (mean=3.0, SD=0.9 vs mean=2.6, SD=0.9, p<0.01), and, yet greater readiness to reduce alcohol use (mean=6.2, SD=3.0 vs mean=5.2, SD=3.0, p<0.05).

Conclusions: Women who drink and smoke may have the highest AEP, TEP, and other SEP risk. Primary care providers should screen for alcohol and tobacco co-use and provide brief intervention and/or treatment referral.

Clinical trial registration: The study was registered on the official website of ClinicalTrials.gov.

Identifier: ID NCT01032772.

Introduction: Despite strong and consistent epidemiological evidence linking cigarette smoking to several cardiovascular diseases (CVDs), the association between smoking intensity and CVD risk factors remains unclear. This study aimed to explore the possible effects of cigarette smoking on cardiometabolic risk in healthy individuals.

Methods: This cross-sectional study was conducted between November 2022 and June 2023. Consecutive sampling was performed to include 160 healthy participants: 100 smokers with 60 males and 40 females; and 60 age- and sex-matched non-smokers with 36 males and 24 females. Blood samples were taken from each participant to assess their cardiometabolic function: lipid profile, von Willebrand factor (vWF), high-sensitivity cardiac troponin I (hs-cTnI), and fibrinogen levels; and liver function using an automated enzymatic method. In addition, blood sugar level, body mass index (BMI), and blood pressure were recorded.

Results: Smokers had significantly higher vWF functional activity and hs-cTnI but significantly lower albumin and total bilirubin levels than non-smokers (65.87 ± 19.07 vs 56.45 ± 6.59, respectively, p<0.001; 0.0382 ± 0.0077 vs 0.0147 ± 0.0105, respectively, p<0.001; and 4.63 ± 0.32 vs 4.74 ± 0.28, respectively, p=0.026). The number of cigarettes consumed daily was associated positively and significantly with plasma levels of low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, vWF functional activity, and hs-cTnI but were negatively associated with total bilirubin. Moreover, heavy smokers had a significantly higher BMI and waist-to-hip ratio among male smokers than non-smokers.

Conclusions: Cigarette smoking was associated with increased dyslipidemia, BMI, and central obesity, in addition to higher vWF functional activity. Altogether, increased hs-cTnI levels in smokers indicate a higher susceptibility to CVD.