Prevalence Of Cigarette Smoking Research Articles

Cigarette Smoking Among Pregnant Women During the Perinatal Period: Prevalence and Health Care Provider Inquiries - Pregnancy Risk Assessment Monitoring System, United States, 2021.

Cigarette smoking during pregnancy increases the risk for pregnancy complications and adverse infant outcomes such as preterm delivery, restricted fetal growth, and infant death. Health care provider counseling can support smoking cessation. Data from the 2021 Pregnancy Risk Assessment Monitoring System were analyzed to estimate the prevalence of smoking before, during, and after pregnancy; quitting smoking during pregnancy; and whether health care providers asked about cigarette smoking before, during, and after pregnancy among women with a recent live birth. In 2021, the prevalence of cigarette smoking was 12.1% before pregnancy, 5.4% during pregnancy, and 7.2% during the postpartum period; 56.1% of women who smoked before pregnancy quit smoking while pregnant. Jurisdiction-specific prevalences of smoking ranged from 3.5% to 20.2% before pregnancy, 0.4% to 11.0% during pregnancy, and 1.0% to 15.1% during the postpartum period. Among women with a health care visit during the associated period, the percentage of women who reported that a health care provider asked about smoking was 73.7% at any health care visit before pregnancy, 93.7% at any prenatal care visit, and 57.3% at a postpartum checkup. Routine assessment of smoking behaviors among pregnant and postpartum women can guide the development and implementation of evidence-based tobacco control measures at the jurisdiction and health care-system level to reduce smoking among pregnant and postpartum women.

Prevalence of Electronic Cigarette Smoking Among Students of Shaqra University, Saudi Arabia

Prevalence of Electronic Cigarette Smoking Among Students of Shaqra University, Saudi Arabia

Frequency and risk factors of cigarette smoking among male medical students of Bacha Khan Medical College, Mardan

Tobacco consumption is a major global health issue that contributes significantly to morbidity and mortality rates. The World Health Organization (WHO) estimates that over five million deaths occur each year due to tobacco use, projected to rise to 8 million by 2030. Furthermore, current research reveals that 47% of males and 12% of females worldwide smoke. Of particular concern is cigarette and tobacco use among medical students, given their role in crafting public health policy and guiding society's tobacco prevention measures. Studies show that smoking rates among medical students in developing countries are between 16-21%, with multi-country surveys in countries like Malaysia, India, Pakistan, Nepal and Bangladesh indicating rates between 6.7% and 17.8%. For example, a study conducted on medical students in Damascus University Faculty of Medicine revealed a 10.9% prevalence of cigarette smoking, 23.5% for water pipe, and 7.3% for both, with higher rates reported among final-year students. Likewise, a study of Rawalpindi Medical College students found that 24% had smoked at least once, with greater prevalence among hostellites rather than day scholar students. 

State Medicaid Coverage for Tobacco Cessation Treatments and Barriers to Accessing Treatments - United States, 2018-2022.

The prevalence of cigarette smoking among U.S. adults enrolled in Medicaid is higher than among adults with private insurance; more than one in five adults enrolled in Medicaid smokes cigarettes. Smoking cessation reduces the risk for smoking-related disease and death. Effective treatments for smoking cessation are available, and comprehensive, barrier-free insurance coverage of these treatments can increase cessation. However, Medicaid treatment coverage and treatment access barriers vary by state. The American Lung Association collected and analyzed state-level information regarding coverage for nine tobacco cessation treatments and seven access barriers for standard Medicaid enrollees. As of December 31, 2022, a total of 20 state Medicaid programs provided comprehensive coverage (all nine treatments), an increase from 15 as of December 31, 2018. Only three states had zero access barriers, an increase from two; all three also had comprehensive coverage. Although states continue to improve smoking cessation treatment coverage and decrease access barriers for standard Medicaid enrollees, coverage gaps and access barriers remain in many states. State Medicaid programs can improve the health of enrollees who smoke and potentially reduce health care expenditures by providing barrier-free coverage of all evidence-based cessation treatments and by promoting this coverage to enrollees and providers.

Tobacco Quitline utilization compared with cigarette smoking prevalence in Virginia across rurality and Appalachian Status, 2011–2019

IntroductionWhile cigarette smoking rates have declined, rural and Appalachian populations in the United States have not seen similar decreases. Quitline programs are promising strategies in reducing disparities in these areas, but research on their usage is limited. MethodsWe employed Small Area Estimation on the Virginia Behavioral Risk Factor Surveillance System (2011–2019) to estimate county-level smoking prevalence and utilized The Quit Now Virginia Quitline data (2011–2019) to estimate Quitline users. We analyzed differences in Quitline utilization by rurality and Appalachian status using statistical t-tests. Stepwise regression assessed the absolute estimate of county features, including poverty rate, tobacco retailer density, physician availability, coal mining industry, and tobacco agriculture, on Quitline usage. ResultsWhile the average smoking rate overall was 15.3 %, only 7.4 % of smokers accessed Quitline services from 2011 to 2019. Appalachian regions exhibited higher smoking rates (20.9 %) and lower quitline usage (4.8 %) compared to non-Appalachian areas (14 % smoking prevalence, 8 % quitline usage). Rural regions had higher smoking prevalence (19.0 %) than urban areas (12.9 %), but no significant difference in Quitline utilization (7.6 % vs. 7.2 %, p = 0.7). Stepwise regression revealed counties with more tobacco agriculture had 3.2 % (p = 0.04) lower Quitline utilization. Also, more physicians availability in the county was associated with 3.9 % higher Quitline usage (p = 0.03) and Appalachian counties exhibited a 3.6 % lower Quitline usage rate compared to non-Appalachian counties. ConclusionA significant gap exists between cigarette smoking prevalence and Quitline utilization, particularly in underserved rural and Appalachian areas, despite no clear barriers to accessing this remote cessation resource. ImplicationThe study underscores persistent disparities in smoking rates, with rural and Appalachian regions in the United States facing higher smoking prevalence and limited utilization of Quitline services. Despite no clear barriers to access, the gap between smoking prevalence and Quitline usage remains significant, particularly in underserved areas. Tailoring interventions to address regional disparities and factors like tobacco agriculture and physician availability is essential to reduce smoking rates and improve Quitline utilization in these communities.

Exploring the Enigmatic Link: Unraveling the Relationship Between Obesity and Cigarette Smoking Among Diverse College Students at Imam Mohammed Ibn Saud Islamic University in Riyadh, Saudi Arabia.

Obesity is defined as an excess of body fat. This medical condition frequently results in a high BMI and an increased risk of a variety of health problems, including diabetes, cardiovascular disease, and certain types of cancer. Cigarette smoking includes inhaling smoke created by the combustion of tobacco. It is linked to a variety of health issues, including lung cancer, heart disease, and respiratory ailments, and is a primary cause of preventable disease and premature death worldwide. The association between obesity and cigarette smoking is complex and incompletely understood. This study aims to investigate the intriguing association between obesity and cigarette smoking among diverse college students at Imam Mohammed Ibn Saud Islamic University in Riyadh, Saudi Arabia. The study was conducted as an observational study, specifically an analytical cross-sectional study, to measure the prevalence of cigarette smoking and obesity and their association. This type of study is chosen because of its advantages including targeting a large sample in a short time and inexpensive way, with no loss to follow-up, unlike some other study designs. In this study, we were able to collect data from 603 participants, of which 57.4% were male and 67.8% of them aged between 20 and 24 years old. Moreover, we found that 39.6% had normal weight; however, the prevalence of obesity, overweight, and underweight were 24%, 28.1%, and 8.3%, respectively. Considering the prevalence of smoking, we found that 22.6% of the participants reported being current smokers, while 5.3% were former smokers. There is a significant difference between participants with different BMIs (P=0.001). The prevalence of smoking was significantly higher in obese and overweighted participants (35.1% and 31.3%, respectively) compared with 28.4% in normal-weighted participants. The prevalence of smoking and obesity in this study was significantly higher than reported in different studies. Moreover, we found a significant relationship between smoking and obesity; however, further investigation should be conducted to determine the cause of this relationship.

Smoking prevalence and purchasing of menthol cigarettes since the menthol flavour ban in Great Britain: a population-based survey between 2020 and 2023

BackgroundMenthol cigarettes have been banned in Great Britain (GB) since May 2020. Still, menthol accessories and unlabelled cigarettes perceived as mentholated are available, and people can buy menthol cigarettes overseas...

Prevalence of cigarette use and addiction among Chinese females by age and province: Findings from nationwide China Health Literacy Survey during 2018–19

BackgroundThe prevalence of cigarette smoking among women is significantly different from that of men, however, cigarette use by women is little known. The study aims to describe cigarette use prevalence and patterns among Chinese females by age and province. MethodsThis study was based on the 2018 China Health Literacy Survey (2018 CHLS), a nationally representative cross-sectional study, and our analysis included 43,319 female participants aged 20–69 with valid data. The prevalence of cigarette use was estimated overall by sociodemographic factors and weighted based on the census population data. The logistic regression model was conducted to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for the risk factors associated with cigarette use and dependency. ResultsIn China, the estimated female current cigarette use prevalence was 1.85%, with over half of the population suffering from tobacco dependence (7.34 million). Jilin Province has the highest cigarette prevalence among women (10.59%), while Fujian Province has the lowest (0.27%). Participants over 60 years old (aOR=1.61, 95%CI=1.20–2.14), single (aOR=1.54, 95%CI=1.07–2.21), with primary education (aOR=1.93, 95%CI=1.47–2.52) were more likely to smoke. The age of smoking initiation among women intergenerational advanced, and compared to the cigarette users without tobacco dependence, those who have tobacco dependence start smoking earlier in all age groups (25.69 years vs. 19.36 years, p<0.001). ConclusionsThe cigarette use prevalence among Chinese women was 1.85%, and there are significant differences among provinces. We noted a trend of women initiating smoking at increasingly younger ages, particularly among those with tobacco dependence.

Prevalence and Associated Factors of Tobacco Smoking in Jumla, Nepal

Introduction: Globally, tobacco consumption is a major risk factor for mortality with an estimated five million deaths every year. Mortality due to cardiovascular diseases, cancer and respiratory conditions are the main cause of smoking. The rate of becoming smoker of teenagers increase day by day and 33% of them are believed to die due to consumption of tobacco. Almost 90% of them start smoking before the age of eighteen. The objective of this research is to study the prevalence, associated factors and behavior of cigarette smoking. Methods: A descriptive cross-sectional study design was used to find the prevalence of smoking and other associated factors. A sample of 345 students were recruited purposively from the selected school and a self administered questionnaire were used to collect the data in 2020 using WHO step survey. Data were entered in EPI data and Univariate and bivariate analysis was done using SPSS16. Logistic regression was used to find the associated factors. P value less than 0.05 was considered as statistical significant. Results: Among 318 students, 65% were male. The average age of the students was 18.03±1.65 years with the range of 15 to 25 years. The prevalence of smoking was estimated 23.3% (male=31.9% and female = 7.2%). The mean age of initiation of smoking was 16.5 years. Presence of parental smoking and smoking status was significantly associated (P &lt; 0.05). Alcoholic habit was the predictor of smoking (p&lt;0.05). Peer pressure (83.7%), exam load (55.8%), frustration (51.2%) family environment (43%), advertisement (34.9%), pleasure (26.7%) and curiosity (22.1%) were the main reason of starting smoking.  They had the knowledge of harmful effects of smoking i.e. cause cancer (91.8%), chronic bronchitis (65.70%), laryngeal cancer (42.10%), heart disease (34.3%). Conclusion: The prevalence of smoking was remarkably high in college students. Thus, it is important to address this preventable problem.

Gender differences in use of cigarette and non-cigarette tobacco products among adolescents aged 13-15 years in 20 African countries.

Examining gender differences in youth tobacco use is important as it aligns tobacco control within the context of broader human development goals seeking to eliminate gender inequalities. In this study, we examined gender differences in adolescent use of cigarettes, smokeless tobacco, shisha, and e-cigarettes in Africa. This was a cross-sectional study using data from the Global Youth Tobacco Survey. Our analytical sample comprised 56442 adolescents aged 13-15 years from 20 African countries. Weighted, country-specific prevalence estimates were computed overall and by gender. Adjusted prevalence ratios (APRs) were calculated in a multivariable Poisson regression model to examine whether correlates of tobacco use differed between boys and girls. Ever cigarette smoking prevalence was significantly higher among boys than girls in 16 of the 20 countries, but a significantly higher percentage of girls reported earlier age of cigarette smoking initiation than boys within pooled analysis. Some of the largest gender differences in current cigarette smoking were seen in Algeria (12.2% vs 0.8%, boys and girls, respectively), Mauritius (21.2% vs 6.6%), and Madagascar (15.0% vs 4.1%). Current use of e-cigarettes, shisha, and smokeless tobacco was generally comparable between boys and girls where data existed. Among girls, higher levels of reported exposure to tobacco advertisement were positively associated with shisha smoking whereas perceived tobacco harm was inversely associated with current cigarette and shisha smoking. Among boys, perceived social acceptability of smoking at parties was associated with an increased likelihood of cigarette smoking (APR=2.27; 95% Cl: 1.20-4.30). The prevalence of cigarette smoking among boys was higher than that of girls in many countries. However, girls who smoke tend to start at an earlier age than boys. Differential gender patterns of cigarette and non-cigarette tobacco product use among youth may have implications for future disease burden. As the tobacco control landscape evolves, tobacco prevention efforts should focus on all tobacco products, not just cigarettes.

Impact of regulatory tightening of the Hungarian tobacco retail market on availability, access and cigarette smoking prevalence of adolescents

IntroductionPolicies that reduce tobacco retail density to decrease tobacco use among the youth are critical for the tobacco endgame. This paper reviews a Hungarian tobacco regulatory measure, which, since 2013,...

Cigarette smoking behaviors and nicotine dependence at the intersection of sexual identity and sex in the United States: Findings from the National Survey on Drug Use and Health

Introduction: Cigarette smoking is disproportionately high among lesbian, gay, and bisexual (LGB) adults. Yet, collapsing these identities into a monolith can disguise important within group disparities (e.g., lesbian/gay versus bisexual female). The purpose of this study is to report recent national prevalence estimates and trends of cigarette smoking behaviors and nicotine dependence by sexual identity and sex. Methods: Data were from the 2015–2019 National Survey on Drug Use and Health (n = 210,392; adults 18+), a nationally representative, repeated cross-sectional study of substance use and mental health in the U.S. We examined bivariate and multivariable associations between sexual identity and cigarette smoking measures (i.e., former smoking, lifetime smoking, current smoking, current daily smoking, nicotine dependence) by sex. We also examined linear time trends in current and former smoking. Covariates included age, race/ethnicity, education, annual household income, and survey year. Results: Bisexual women had the highest unadjusted prevalence of current smoking (31 %) and lowest of former smoking (25 %). LGB females and males had higher adjusted prevalence of current smoking, daily smoking, and nicotine dependence than heterosexual adults. Bisexual females and gay and bisexual males had lower adjusted prevalence of former smoking (adjusted prevalence ratio range: 0.78–0.85) than heterosexual counterparts. Discussion: This is the first study to identify disproportionately low prevalence of former smoking among bisexual females. Paired with findings of high prevalence of current cigarette smoking and nicotine dependence, these data suggest that tobacco control interventions targeted toward bisexual females are urgently needed to reduce the burden of cigarette smoking among these individuals.

Factors associated with intentions to quit tobacco use in Lebanon: A cross-sectional survey

IntroductionThe prevalence of tobacco smoking in Lebanon is among the highest globally. This study aims to determine past attempts to quit smoking among adults and identify factors associated with intentions to quit. MethodsA nationally representative telephone survey was conducted between June and August 2022. Eligibility criteria included people aged >=18 years residing in Lebanon. The questionnaire was divided into three components: socio-demographic characteristics, cigarette and waterpipe tobacco use behaviours. Binary logistic regression was used to examine factors associated with intention to quit cigarette and waterpipe tobacco use. ResultsA total of 2003 respondents were included in the study. The prevalence of any tobacco product use was 41%, the prevalence of current cigarette smoking was 41% and the prevalence of current waterpipe tobacco use was 20%. Approximately 24% of adults who smoke cigarettes and 26% of those who use waterpipe tobacco had previous quit attempts mainly due to health concerns. Intentions to quit smoking within the next 6 months were reported among 12% of survey respondents. Among adults who smoke, past quit attempts increased the likelihood of intentions to quit cigarette smoking by 5-fold (OR: 5.11; 95% CI: 1.80–14.47, p = 0.002) and waterpipe tobacco use by 7-fold (OR: 6.98, 95% CI: 2.63–18.51, p = <0.001). Age and income were associated with intentions to quit cigarette but not waterpipe tobacco use. ConclusionIntention to quit smoking was strongly associated with past quitting attempts. Understanding factors associated with intentions to quit can help inform the development of context specific smoking cessation interventions.

Modifiable risk factors for cardiovascular disease in Iraqi Kurdistan population: a large epidemiological study

Cardiovascular diseases (CVDs) are considered the leading factor of morbidity and mortality across the world. This study aimed to identify the modifiable risk factors of CVDs in the Kurdistan Region. In this retrospective cross-sectional study, the patients who visited and were diagnosed with any type of CVDs and treated in a main private cardiac center in Duhok governorate in Kurdistan Region were included between the years 2018 and 2023. The study found a similar percentage of male and female patients. The percentage of old patients was significantly increased from 18-19 to ≥70. The most preventable modifiable risk factors among cardiac patients were hypertension (86.17%), physical inactivity (60.59%), diabetes (40.15%), and dyslipidemia (56.31%). The less preventable modifiable risk factors were alcohol (4.01%) and cigarette smoking (14.43%). Males had a higher prevalence of cigarette smoking (24.63% vs. 4.38%; P&lt;0.0001) and female patients had a higher prevalence of hypertension (91.25% vs. 81.02%; P&lt;0.000), diabetes (44.43% vs. 35.80 %; P=0.0007) and dyslipidemia (59.15% vs. 53.43%; P=0.0257). In terms of family history of heart disease, the middle age group had a higher prevalence compared to younger and older age groups. Diabetes and cigarette smoking was more prevalent among older age groups, while dyslipidemia was more prevalent among younger and older age groups. Alcohol, physical inactivity, and hypertension were similar among age groups. Hypertension, diabetes, dyslipidemia, and physical inactivity were the most prevalent risk factors for CVDs in this region. The older patients had significantly higher rates of some of these risk factors.

Cigarette Smoking, Risky Alcohol Consumption, and Marijuana Smoking among University Students in Germany: Identification of Potential Sociodemographic and Study-Related Risk Groups and Predictors of Consumption.

(1) Background: Cigarette smoking, risky alcohol consumption, and marijuana smoking are the most common behaviors related to legal and illicit drug use worldwide, including among university students. To plan effective evidence-based programs to prevent the risky consumption of these substances among university students, the present study aimed to identify potential sociodemographic and study-related risk groups and predictors of consumption. (2) Methods: A cross-sectional online health survey with approximately 270 health-related items was conducted among students at the University of Mainz, Germany. Cigarette smoking, risky alcohol consumption (AUDIT-C score: female ≥ 4, male ≥ 5), and marijuana smoking were chosen as dependent variables. Of the 270 health-related items, 56 were chosen as independent variables and collated into five groups (sociodemographic, psychological, study-related psychosocial, general psychosocial and health behavior). The prevalence of cigarette smoking, risky alcohol consumption, and marijuana smoking was assessed using established and validated instruments. Pearson's chi-square test was used to analyze the differences in prevalence between the sociodemographic and study-related groups, and binary logistic regression was used for analyses with stepwise inclusion of the five variable groups. (3) Results: Of the 3991 university students who entered the analyses, 14.9% reported smoking cigarettes, 38.6% reported risky alcohol consumption, and 10.9% reported smoking marijuana. The prevalence of these differed between genders, fields of study, and aspired degree level, among other factors. Binary logistic regression analyses revealed nine significant predictors (p ≤ 0.05) of cigarette smoking (Nagelkerke R2 = 0.314), 18 significant predictors of risky alcohol consumption (Nagelkerke R2 = 0.270), and 16 significant predictors of marijuana smoking (Nagelkerke R2 = 0.239). (4) Conclusions: This study showed cigarette smoking, risky alcohol consumption, and marijuana smoking among university students in Germany to be associated with multiple factors, especially health behaviors. Furthermore, each of the substances was highly associated with each of the two other substances we examined. Other variable groups, such as psychological or psychosocial variables, seemed to play a rather minor role. Therefore, our recommendation for future prevention programs is that substance use among university students should be addressed as a whole, not just in terms of specific substances.

Association between psychosocial factors and co-morbid cigarette smoking and alcohol use in a population experiencing homelessness

The prevalence of combustible cigarette smoking in populations experiencing homelessness in the United States is five times that of the general population. The psychosocial well-being of persons who smoke and experience homelessness is poorer if such persons also use alcohol heavily. The PTQ2 study was a randomized clinical trial among persons experiencing homelessness who were also current smokers and heavy alcohol consumers. Secondary data analysis of the PTQ2 baseline data was conducted to examine associations among psychosocial variables (anxiety, depression, hopelessness, social network size), heaviness of smoking (cigarettes/day) and alcohol consumption (drinking days/month), and duration and frequency of homelessness. Among the 420 participants, the majority were male (75%), black (70%) and non-Hispanic (94%) with a mean age of 46.6 years (SD = 11.6). Bivariate analyses show that heaviness of smoking was positively correlated with social network size (r = 0.16, p = .001). Heaviness of drinking was positively correlated with the MINI anxiety score (r = 0.13, p = .009) and marijuana use (median total number of drinks in past 30 days among those who used marijuana in past 30 days vs. did not use: 50 vs. 24, p < .0001), and associated with frequency of homelessness (median total number of drinks in past 30 days among those experiencing homelessness once vs. >1 time: 30 vs. 44, p = .022). The findings highlight the psychosocial factors that warrant consideration when addressing heavy smoking and alcohol consumption in persons experiencing homelessness.

Prevalence and correlates of current cigarette smoking among transgender women in Argentina.

To assess the prevalence of current cigarette smoking among transgender women in Argentina, and to examine the unique associations of current cigarette smoking with demographic and psychosocial factors. This study is a secondary data analysis of the TransCITAR - a prospective cohort study of transgender individuals living in Buenos Aires, Argentina - baseline data. The baseline survey collected information on sociodemographic characteristics, perceived health status, depressive symptoms, suicide attempts, current cigarette smoking, alcohol use disorder, and substance use. Participants were also asked about lifetime experiences of physical and sexual violence perpetrated by partners, clients and/or the police, and experiences of gender identity stigma in the past year from healthcare workers and the police. Lastly, participants were asked if they had ever been arrested. Fisher's exact test was used to compare proportions in categorical variables and student t-test was used for continuous variables. Significant associations with current cigarette smoking were tested in a logistic regression model adjusted for all significant associations. A total of 41.7% of participants (n = 393) reported current cigarette smoking. Compared to their non-smoking counterparts, participants who reported current cigarette smoking (1) had completed less education, (2) were more likely to be born in Argentina, (3) more likely to had migrated to Buenos Aires from other parts of the country, (4) more likely to report a history of sex work, (5) more likely to perceive their health as excellent, (6) more likely to screen positive for hazardous alcohol drinking, (7) more likely to report any substance and cocaine use in the past year, (8) more likely to experience gender identity stigma from the police in the past year, and (9) more likely to being arrested in their lifetime (all p's < 0.05). After controlling for all significant associations, education level of less than high school (AOR = 1.79, 95% CI 1.02-2.12), hazardous drinking (AOR = 2.65, 95% CI 1.30-5.37), and any substance use in the last year (AOR = 2.14, 95% CI 1.16-3.94) were positively and independently associated with current cigarette smoking. Among transgender women in Argentina, current cigarette smoking was more than double the rate for cisgender women. Current cigarette smoking was associated with education, hazardous drinking, and any drug use. These results will inform future smoking cessation interventions among transgender women in Argentina.

Association between alexithymia, emotional intelligence, smoking addiction, and alcohol use disorder among a sample of Lebanese adults.

Alexithymia can be associated with worse addictive traits, while emotional intelligence is associated with better addictive outcomes. In Lebanon, the prevalence of cigarette and waterpipe smoking is on the rise, although people are aware of the associated harms. Also, around 11% of Lebanese adults have experienced alcohol use disorder (AUD). This study aimed to assess the association between alexithymia, emotional intelligence, smoking (cigarette and waterpipe), and AUD among a sample of Lebanese adults. A web-based cross-sectional study carried out between February and April 2020, during the lockdown period, enrolled 408 community-dwelling adults. The survey link was shared on social media to reach participants from all Lebanese districts/governorates. Taking antidepressants (Beta = 4.37) was significantly associated with more cigarette dependence, while female gender (Beta = -1.52) and having a high vs. low monthly income (Beta = 1.02) were significantly associated with less cigarette dependence. None of the variables, including alexithymia, were significantly associated with waterpipe dependence. Female gender (Beta = -0.15) and higher emotional intelligence (Beta = -0.003) were significantly associated with less AUD, whereas higher alexithymia (Beta = 0.003) was significantly associated with more AUD. This study could demonstrate a significant association between alexithymia and cigarette smoking and alexithymia and alcohol consumption. Future research is warranted to investigate the mediating effect of emotional intelligence and how these results may be used to meet the needs of alexithymic individuals with addictions.

Assessment of prevalence, predictors, reasons and regulations of substance smoking among children in Ghana

BackgroundIn Ghana, it is against the law for children to smoke. Nevertheless, a portion of children in the country do smoke. However, there is a paucity of research on young smokers in Ghana and other sub-Saharan African nations. This study, therefore, investigated the prevalence of smoking, the kinds of substances children smoke, predictors of smoking, reasons for and factors that lead children to smoke, and regulation of smoking among children in Ghana.MethodsIn total, 5024 children aged 8–17 were studied using a cross-sectional convergent parallel mixed method. Descriptive statistics, Person’s Chi-square test, Fisher Exact test, and binary logistic regression were used to analyse the quantitative data. In contrast, thematic analysis was used to analyse the qualitative data.ResultsThe results showed that 3.2% of children had ever smoked. Male children smoked more often than female children. The prevalence of cigarette, marijuana, and shisha smoking was 78.3%, 18%, and 3.7%, respectively. While more male children than female children smoked cigarettes and marijuana, more female children than male children used shisha. Children mainly smoked for fun and due to group culture. In addition, children were influenced by friends; parents, family members, and neighbours who smoke; curiosity; and advertisements and videos to initiate smoking. Despite the availability of regulations and laws regulating tobacco products in public places, tobacco advertisement, promotion, and sale to persons under 18, children are still smoking.ConclusionsChildren who have ever engaged in smoking reported using cigarettes, marijuana, and shisha. Policymakers urgently need to strategise and strengthen their policies, programmes, and interventions to address smoking among children.

State-Specific Prevalence of Adult Tobacco Product Use and Cigarette Smoking Cessation Behaviors, United States, 2018-2019.

Increasing quitting among people who smoke cigarettes is the quickest approach to reducing tobacco-related disease and death. We analyzed data from the 2018-2019 Tobacco Use Supplement to the Current Population Survey for 137,471 adult self-respondents from all 50 US states and the District of Columbia to estimate state-specific prevalence of current tobacco product use, interest in quitting smoking, past-year quit attempts, recent successful cessation (past-year quit lasting ≥6 months), receipt of advice to quit smoking from a medical doctor, and use of cessation medications and/or counseling to quit. Prevalence of current any-tobacco use (use every day or some days) ranged from 10.2% in California to 29.0% in West Virginia. The percentage of adults who currently smoked cigarettes and were interested in quitting ranged from 68.2% in Alabama to 87.5% in Connecticut; made a past-year quit attempt ranged from 44.1% in Tennessee to 62.8% in Rhode Island; reported recent successful cessation ranged from 4.6% in West Virginia and Wisconsin to 10.8% in South Dakota; received advice to quit from a medical doctor ranged from 63.3% in Colorado to 86.9% in Rhode Island; and used medications and/or counseling to quit ranged from 25.5% in Nevada to 50.1% in Massachusetts. Several states with the highest cigarette smoking prevalence reported the lowest prevalence of interest in quitting, quit attempts, receipt of advice to quit, and use of counseling and/or medication, and the highest prevalence of e-cigarette, smokeless tobacco, and cigar use. Adults who smoke struggle with smoking cessation and could benefit from additional intervention.