Prevalence Of Cigarette Use Research Articles

Smoking cessation among sexual minority women: Differences in cigarette quit ratios across age, race/ethnicity, and sexual orientation

ObjectiveSexual minority (SM) women experience tobacco-related disparities and report a higher prevalence of cigarette use, as well as subgroup differences in use, but little is known about their quitting behavior. This study used data from a national sample of United States SM women to examine cigarette quit ratios overall and by age, race/ethnicity, and sexual orientation. MethodsUsing baseline survey data from the Generations Study (2016–2017, N = 812), we calculated quit ratios among SM women reporting lifetime smoking (100+ cigarettes) who reported currently smoking “not at all” relative to those reporting smoking “every day or some days.” Quitting was compared across cohort, race/ethnicity, and sexual orientation, controlling for household income. ResultsSM women reporting lifetime smoking in the older cohort were significantly more likely to report quitting than those in the younger cohort. Bisexual women also reported a greater likelihood of quitting than gay/lesbian women. There was no association between race/ethnicity and the probability of quitting smoking. ConclusionsSM women remain a priority for tobacco prevention and cessation efforts. There is evidence that the probability of quitting cigarettes differs across sexual orientation and age cohorts, which has implications for tailoring of interventions and tobacco communications.

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.

Longitudinal experience of food insecurity & cigarette use in the early COVID-19 Pandemic, United States

Food insecurity is associated with cigarette smoking, yet little is known about how variability in the experience of food insecurity may relate to patterns of cigarette use. We sought to examine patterns of food insecurity and cigarette use during the COVID-19 pandemic (April 2020-March 2021). We analyzed longitudinal survey data from a nationally representative panel of adults in the United States (N = 7,880) from the Understanding Coronavirus in America Study. The primary independent variable was ten trajectories of food insecurity. Our dependent variable was past 7-day cigarette use (count of days used cigarettes). Poisson regression using generalized estimating equations was run controlling for key covariates. The prevalence of cigarette use on at least one day in the past week was lowest (17.5 %) for those who Remained Food Secure, and highest (57.9 %) among those who Became Fully Food Insecure, a group characterized by having high probability of becoming food insecure during the study period. Among those who reported at least one day of cigarette use in the past week, fewer than half (40.1 %) reported sustained use across all waves of the study. Those who Became Fully Food Insecure had an incidence rate ratio (IRR) of 1.73 (95 % CI: 1.18, 2.54) compared to those who Remained Food Secure with respect to number of smoking days. While different patterns of food insecurity are related to cigarette smoking at the population level, these results highlight that food insecurity, a key social need, may represent a novel strategy for informing reduction of tobacco use disparities.

Cigarette use and exposure to second-hand smoke and tobacco advertising among Tunisian adolescents.

The Global Youth Tobacco Survey was conducted in Tunisia in 2001, 2007, 2010 and 2017. It is the only national survey that examined exposure to second-hand smoke and tobacco advertising among young people, and there has been no description of the trend. To describe cigarette use trends among Tunisian adolescents and their exposure to second-hand smoke and tobacco advertising from 2001 to 2017. The Global Youth Tobacco Survey is a school-based cross-sectional survey conducted by the World Health Organization. It uses a two-stage cluster sampling design to obtain a representative sample of students aged 13-15 years. A standardized questionnaire is used for data collection. We compared the prevalence and 95% confidence intervals (CI) of ever and current cigarette use, exposure to second-hand smoke in and outside the home, and exposure to tobacco advertising, over 4 years (2001, 2007, 2010 and 2017). Current cigarette use decreased from 11.1% (95% CI: 10.0-12.3%) in 2001 to 7.7% (95% CI: 6.5-9.0%) in 2017 (P < 0.001). Exposure to second-hand smoke at home decreased from 62.5% (95% CI: 60.7-64.2%) to 46.7% (95% CI: 44.5-49.0%) over the same period (P < 0.001), but exposure outside the home increased from 65.4% (95% CI: 63.7-67.1%) in 2001 to 73.3% (95% CI: 71.2-75.3%) in 2017 (P < 0.001). Exposure to anti-tobacco messages in the media decreased from 87.8% (95% CI: 86.3-89.1%) in 2001 to 64.4% (95% CI: 62.2-66.5%) in 2017 (P < 0.001). While the prevalence of cigarette use and second-hand smoke exposure at home decreased, exposure outside the home increased. Efforts are needed to ensure compliance with smoke-free laws to decrease the prevalence of exposure to second-hand smoke.

Motives for using electronic nicotine delivery systems (ENDS) as a cessation tool are associated with tobacco abstinence at 1-year follow-up: A prospective investigation among young adults in the United States Air Force

IntroductionSmokers use electronic nicotine delivery systems (ENDS), including e-cigarettes, as a harm reduction strategy even though the Food and Drug Administration (FDA) has not approved them for tobacco cessation. The limited literature about ENDS use for cigarette cessation is concerning for the U.S. military, which is largely comprised of young adults at increased risk for tobacco use. Thus, the current study aims to evaluate use of ENDS products as a cessation tool in relation to point-prevalence tobacco abstinence at one-year follow-up in a cohort of 8,901 U.S. Air Force personnel attending entry-level job training from March 2016 to April 2019. MethodsA propensity-score adjusted multinomial logistic regression model was used to assess the association between the baseline motives for ENDS use (i.e., for cigarette cessation versus alternative reasons) and tobacco use at the one-year follow-up (cigarette use, non-cigarette tobacco product use, and tobacco abstinence) among those reporting history of cigarette use at baseline. ResultsSmokers reporting ENDS use for cigarette cessation were more likely to be abstinent at one-year follow-up (Odds Ratio[OR] = 1.62, 95% CI: 1.06–2.49, P =.03) as well as quit using non-cigarette tobacco products (OR = 2.11, 95% CI: 1.65–2.70, P <.001) than those reporting ENDS use for alternative reasons. ConclusionsCurrent tobacco users are recommended to use FDA-approved products for smoking cessation, such as nicotine replacement therapy. However, given the high prevalence of cigarette use among military populations, ENDS may provide a useful alternative harm reduction strategy for this high-risk population.

Prevalence of E-cigarette Users Students and Determinant Factors Affecting Their Use Behavior

Introduction: The prevalence of cigarette use among adolescents continues to increase in Indonesia every year, and this use is considered to be reduced by using e-cigarettes. However, e-cigarettes cannot be called conventional smoking cessation therapy because there is no strong enough evidence and because the impact of their use on health cannot be ruled out. Meanwhile, several studies show that the use of e-cigarettes also has a negative impact on health. This study aims at the prevalence of e-cigarette users and determinant factors that influence the behavior of using e-cigarettes in university students. &#x0D; Methods: This study is a non-experimental study with a cross-sectional study design. The sample used was 410 people, with inclusion criteria being active students of Atma Jaya University and people who agreed to become respondents after reading the informed consent; the exclusion criteria were respondents who filled out the questionnaire incompletely. Data were obtained through online questionnaires via google form. Data were analyzed using the Chi-Square test and Mann-Whitney. &#x0D; Results: The Prevalence of e-cigarette users is 21,7%. In this study, the variables that affect the use of e-cigarettes are gender (p&lt;0,001), perception (p&lt;0,001), availability of supply (p&lt;0,001), family support (p=0,002), and friend support (p&lt;0,001).&#x0D; Conclusion: The high-level use of e-cigarettes by university students show the need for information, education, and health promotion regarding the harmful effects of using the e-cigarette.

Association between socioecological factors and electronic cigarette use among Thai youth: an institution-based cross-sectional study

ObjectivesThis study aimed to examine cigarette use distribution, pattern of e-cigarette use and to determine socioecological model (SEM) factors associated with e-cigarette use among Thai youth (aged 15–24).DesignAn institution-based cross-sectional...

Personality traits and substance use among college students in Eldoret, Kenya.

There is documented evidence of the increase of alcohol and substance use among college students globally. Increased morbidity and associated maladaptive socio-occupational outcomes of the habit with early dependence and mortality have also been reported. Majority of the substance use related studies conducted in low- and middle- income countries mainly look at health- related risk behaviour control mechanisms that focus on the social environment domain, with few or almost none focusing on those embedded within the person (self- control). This study focuses on the relationship between substance use and personality traits (in the self-control domain), among college students in a low- middle- income country. Design. A cross- sectional descriptive study that used the self- administered WHO Model Core and the Big Five Inventory Questionnaires to collect information among students in Colleges and Universities in Eldoret town, Kenya. Setting. Four (1- university campus; 3- non- university) tertiary learning institutions were randomly selected for inclusion. Subjects. Four hundred students, 100 from each of the 4 institutions; selected through a stratified multi-stage random sampling, who gave consent to participate in the study. Associations between various variables, personality traits and substance use were tested using bivariate analysis, while the strength/ predictors of association with substance use was ascertained through multiple logistic regression analyses. A finding of p ≤ 0.05 was considered statistically significant. The median age was 21 years (Q1, Q3; 20, 23), approximately half 203 (50.8%) were male, with majority 335 (83.8%) from an urban residence and only 28 (7%) gainfully employed. The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. A higher mean age (AOR 1.08, 95% CI; 0.99, 1,18: p = 0.02) of the students also showed an 8% increase in odds of lifetime alcohol use. The lifetime prevalence of cigarette use was 8.3%. Higher mean neuroticism (AOR 1.06, 95%CI; 0.98, 1.16: p = 0.041) and openness to experience (AOR 1.13, 95%CI; 1.04, 1.25: p = 0.004) scores showed increased odds of lifetime cigarette smoking, whereas being unemployed (AOR 0.23, 95%CI; 0.09, 0.64: p<0.001) had a decreased odd. Other substances reported included cannabis 28 (7%), sedatives 21 (5.2%), amphetamines 20 (Catha edulis) (5%), tranquilizers 19 (4.8%), inhalants 18 (4.5%), cocaine 14 (3.5%), with heroin and opium at 10 (2.5%) each. Among the 13 participants who reported injecting drugs, 10 were female and only 3 were male; this finding was statistically significant (p = 0.042). The prevalence of substance use among college and university students in Eldoret is high and associated with high neuroticism and low agreeableness personality traits. We provide directions for future research that will examine and contribute to a deeper understanding of personality traits in terms of evidence- based approach to treatment.

The Prevalence, Pattern, and Factors Affecting Cigarette Smoking among Undergraduate Students in a Tertiary Institution in Plateau State, Nigeria

Background: Cigarette smoking is a modern health hazard, and it is preventable. It starts in adolescence for 90% of adults with an average age of onset ranging between 13 - 15 years and is commoner among males. This study is aimed at the prevalence, pattern, and factors affecting Cigarette smoking among undergraduate students in a tertiary institution in Plateau State. Method: A cross-sectional descriptive study involving 290 undergraduate students of the University of Jos was selected using the multistage sampling method. Results: The prevalence of cigarette use was 5.3%. Seven (70.0%) of students smoke daily, 6 (60.0%), smoke cigarettes before Lecture Hours, and 90.0% are unwilling to stop smoking. Smoking was done to experience the highness feeling, 8 (80.0%), peer smoking 8 (80.0%), to reduce stress and tension 5 (50.0%), and Smoking for Fun 7 (70.0%). Most students first smoked a cigarette when with friends 6 (60.0%). Factors significantly associated with the current use of cigarettes among the respondents were religion (χ2 = 4.167, p = 0.041) Level/year of study (χ2 = 32.266, p ≤ 0.001), and type of family (χ2 = 6.271, p = 0.043). Conclusion: Most students smoke daily, smoke before lectures start, and are unwilling to stop smoking. Health-promotion program to help smoking cessation and prevent initiation of smoking is recommended.

Abstract A017: Lung cancer chemoprevention with the β-blocker carvedilol

Abstract Chronic exposure to carcinogens that are present in tobacco smoke is a causative factor for lung carcinogenesis. Although smoking cessation successfully reduced the prevalence of cigarette use in the US, lung cancer risk for current and former smokers remains high, for whom no effective chemopreventive agent currently exists. In the present study, carvedilol, an FDA-approved β-blocker was examined on lung carcinogenesis induced by the tobacco carcinogen benzo(a)pyrene [B(a)P] in vitro and in vivo. In non-tumorigenic human bronchial epithelial cell culture BEAS-2B, carvedilol inhibited benzo(a)pyrene diol epoxide (BPDE)-induced malignant transformation at non-toxic concentrations in a dose-dependent manner. Although β-adrenergic receptors (β-ARs) are expressed in BEAS-2B cells, the anticancer activity of carvedilol is independent of β-blockade since the non-β-blocking R-carvedilol enantiomer also blocked transformation while the β-blockers atenolol (β1-AR selective blocker), ICI-118,551 (β2-AR selective blocker), and propranolol (nonselective blocker) had no effect. Carvedilol’s anti-transformation activity is possibly mediated by aryl hydrocarbon receptor signaling because carvedilol, R- and S-carvedilol all inhibited B(a)P-activated xenobiotic responsive element (XRE) promoter and CYP1A1 mRNA expression. In a B(a)P-induced acute lung toxicity model in CD-1 mice, pretreatment with carvedilol, R- or S-carvedilol (20 mg/kg/day) for 7 days significantly attenuated increased plasma levels of lactate dehydrogenase and malondialdehyde, inflammatory cell infiltration, histopathologic changes, and overexpression of COX-2 in the lung. In a B(a)P-induced lung carcinogenesis model in A/J mice, carvedilol at 3.2 and 20 mg/kg significantly attenuated tumor multiplicity and burden, to a similar degree as the EGFR inhibitor gefitinib. Our study reveals a previously unexplored role for the FDA approved cardiovascular drug carvedilol in the prevention of tobacco carcinogen-associated lung cancer. Citation Format: Ayaz Shahid, Mengbing Chen, Carol Lin, Bradley T. Andresen, Cyrus Parsa, Robert Orlando, Ying Huang. Lung cancer chemoprevention with the β-blocker carvedilol [abstract]. In: Proceedings of the Second Biennial NCI Meeting: Translational Advances in Cancer Prevention Agent Development (TACPAD); 2022 Sep 7-9. Philadelphia (PA): AACR; Can Prev Res 2022;15(12 Suppl_2): Abstract nr A017.

Risk factors for substance use in Swedish adolescents: A study across substances and time points.

Aim: The public health model for prevention of disease and disorder has been influential in informing interventions regarding substance use. While a number of risk factors within this model have been found to predict substance use, few studies have explored the associations across substances, at different time points and in the same individuals. The aim of this study was to test this model across legal and illegal substance use among adolescents, and to identify potential changes in associations over time. Methods: Data from two waves of a nationally representative cohort study among Swedish adolescents were used. Baseline data were collected in 2017 (9th grade) with a follow-up in 2019 (11th grade). Using modified Poisson regression analyses, we explored cross-sectional associations between factors from different domains and prevalence of cigarette use, binge-drinking and illegal drug use at both baseline and follow-up. Results: The results in part supported the public health model. Substance use was predicted by factors within the family, school and the individual/peer domain, but several associations were not statistically significant. The only consistent risk factors across substances and time points were lack of parental monitoring, truancy and minor criminal activities. Conclusion: Despite widely different prevalence rates across substances, some risk factors were consistently associated with adolescent substance use. Nonetheless, the findings challenge the assumption that risk factors are stable over adolescence. They suggest a need for flexible prevention interventions spanning across substances and legal boundaries of substances, but also over domains to reflect the heterogenous needs of adolescents.

Disparities in Tobacco Use by Disability and Type: Findings From the 2019 National Health Interview Survey

People with disabilities report a higher prevalence of cigarette use than people without disabilities. However, evidence is limited on the relationships between disability type, degree of functional difficulty, and other tobacco product use. Data from the 2019 U.S. National Health Interview Survey were used to estimate the prevalence and odds of tobacco product use for 6 disability types and degree of functional difficulty. Bivariate and multivariable analyses conducted in 2021 examined the associations between tobacco product use and disability type. Compared to adults who reported no difficulty, current cigarette use prevalence was higher for adults who reported a lot of difficulty/cannot do at all to vision (21.5% vs 13.1%), hearing (19.6% vs 13.6%), mobility (20.0% vs 12.9%), and cognitive (25.4% vs 12.9%) disability questions. The odds of current cigarette (AOR=1.32), pipe (AOR=1.85), and smokeless tobacco (AOR=1.57) use were significantly higher for adults who reported a lot of difficulty/cannot do at all to any disability question and significantly higher for current cigarette (AOR=1.24), e-cigarette (AOR=1.33), pipe (AOR=1.45), and smokeless tobacco (AOR=1.29) use for adults who reported some difficulty to any disability question than those who reported no difficulty. Pipe use was correlated with mobility difficulty (AOR=1.68), and smokeless tobacco use was correlated with hearing difficulty (AOR=1.95). People who reported difficulty with vision, hearing, mobility, or cognition had a higher cigarette use prevalence than people without disabilities. Other tobacco use differed by disability type. Future research should tailor tobacco interventions to reduce these disparities.

What Factors Encourage Young People to Engage in Substance Use? Substance Use and Associated Factors Among Youth in Southwest Ethiopia: A Community-Based Study.

BackgroundSubstance use indicated the use of psychoactive substances such as alcohol, cigarettes, khat, and illegal drugs. Substance use has varying impacts on the health and socio-economics of countries, and is a major public health concern globally. Currently, substance use is a common public health problem among Ethiopian youth mainly in the city of Jimma. Therefore, this study aimed to assess the magnitude of Cigarette smoking, alcohol drinking, khat chewing, and associated factors among the youth of Jimma town in 2019.MethodsA community-based cross-sectional study was conducted among youth of Jimma town from March 2019 to April 2019. A simple random sampling technique was used to select 423 study participants. Data were collected using a structured interviewer-administered questionnaire. The collected data were entered into EPI data manager version 4.4.1 and transported to SPSS version 23 for data cleaning and analyses. The disruptive study was carried out to determine the prevalence of cigarette smoking, alcohol consumption, and khat chewing. Binary and multivariable analyses were carried out to identify factories associated with cigarette smoking, alcohol consumption, and khat chewing. Finally, adjusted odds ratios (AOR) with 95% confidence intervals (CI) were used to determine the presence and strength of association.ResultsThe current prevalence of cigarette use, alcohol use, and khat use was 16.0, 30.6, and 45.7%, respectively. Factors associated with current smoking use were substance use by siblings, subjective norm factors, and perceived benefits of substance use. Factors associated with current alcohol consumption were youth who highly perceived substance use as important. Factors associated with current khat use were male, substance use by siblings, out-of-school youth, and subjective norms.ConcussionThe study findings indicated that the prevalence of khat, alcohol, and cigarettes was high among the youth of the city of Jimma. To reduce the prevalence of khat, alcohol, and cigarettes among youth, coordinated efforts from the youth, the government, health professionals, and the community at large are needed.

Modeling oral cancer screening in the United States population

ObjectivesTo evaluate the impact of oral cancer screening if applied to the United States (US) population or various high-risk populations in the US. MethodsWe modeled the effects of applying an oral cancer screening program to the US population assuming a similar mortality reduction as seen in the randomized Kerala trial. We combined data on the incidence of oral cancer in the Surveillance, End Results, and Epidemiology database, data on the relative risk in various high-risk groups from the Prostate, Lung, Cervical, and Ovarian screening trial, and the National Lung Screening Trial and data on the prevalence of cigarette use from the National Health Interview Survey. ResultsWhen extrapolating to the US population we predict the number needed to screen to prevent one oral cancer death (NNS) = 9,845 in all individuals aged 35 + . Screening efficiency would increase if applied to higher-risk populations. If oral cancer screening were applied to male ≥ 60 pack-year current smokers or former smokers who have quit within 15 years aged 50–79 we predict a 4.6% reduction in oral cancer mortality with an NNS = 1,485. ConclusionsTargeted screening of individuals at high risk for oral cancer has the potential to maximize the efficiency of screening and meaningfully impact oral cancer mortality. We suggest a future screening trial in high-risk individuals be considered to clarify the role of oral cancer screening in the US.

E-cigarette and dual product use as an emerging health threat to the US military.

INTRODUCTIONCigarette and e-cigarette use are threats to the health and readiness of the US military. The study objective was to determine the prevalence and factors associated with e-cigarette, cigarette, and dual use among active duty service members (SMs).METHODSWe used data from the 2015 Health Related Behaviors Survey—a crosssectional survey weighted to represent the US military (n=16699). Weighted prevalence and odds ratios assessed associations between risk factors and e-cigarette/cigarette use via weighted multinomial logistic models.RESULTSThe prevalence of cigarette use in the US military declined from 24% in 2011 to 13.8% in 2015. However, e-cigarette use (12.4%) and dual product use (4.7%) increased during this period. Additionally, prevalence of e-cigarette use was higher in the military compared to the general population (12.4% vs 3.5%), particularly among those aged 17–24 years (22.8% vs 5.2%); cigarette use was also higher in the military in this age group (19.3% vs 13.0%). After adjustment, SMs who were enlisted, lacked a Bachelor’s degree, and/or had probable alcohol use disorder had significantly greater odds of cigarette, e-cigarette, and dual use. While SMs aged 17–24 years had the highest prevalence of all types of product use, only being aged ≥45 years was significantly associated with decreased odds of product use in adjusted models.CONCLUSIONSMilitary efforts to control cigarette use among SMs seem to have been successful, as demonstrated by the dramatic declines in its use and the lower prevalence seen in the military compared to the general population. However, the concurrent increases in e-cigarette use are concerning, particularly among the youngest members of the military. The US military must continue to monitor emerging trends in e-cigarette, cigarette, and dual use and rapidly take steps to address them as threats to health and readiness.

Age at Smoking Initiation and Prevalence of Cigarette Use Among Youths in Sub-Saharan Africa, 2014-2017

This cross-sectional study examines age at smoking initiation, prevalence of cigarette use, and prevalence of exposure to smoking-related risk factors among youths in sub-Saharan Africa.

Cross-sectional Survey to Assess Tobacco and Nicotine Product Use since the Introduction of Tobacco Heating Products in Japan: Wave 1

Objective: In this study, we obtained key population-level data on use patterns and behavior relating to tobacco and nicotine products in Japan. Methods: We performed a nationwide cross-sectional survey of the general population in Japan in 2019 to assess use patterns after the introduction of tobacco heating products (THPs). Eligible participants were Japanese residents, aged 20 years or older who consented to complete the survey. Individuals living in institutions were excluded. A 3-stage probability sampling method was applied that was geographically stratified by street blocks proportionate to population density. Respondents self-reported patterns of product use and reasons for THP use. Results: Complete responses were available from 5306 individuals, of whom 933.5 (17.6%) were current users, 984.2 (18.5%) were former users, and 3388.4 (63.9%) were never users of tobacco products (weighted respondent totals). Cigarettes were used by 14.6% of current tobacco product users and THPs by 5.3%. Cigarettes and THPs were used exclusively by 64.5% and 12.2%, respectively, and both were used by 12.7%. The most common reasons reported for THP use were perceived reduction in harm to self and others compared to cigarettes. Conclusions: Whereas the prevalence of cigarette use in Japan is decreasing, THPs seem to be increasingly used as long-term alternatives to cigarette smoking.

Patterns and associations of smoking and electronic cigarette use among survivors of tobacco related and non-tobacco related cancers: A nationally representative cross-sectional analysis

BackgroundTobacco-use among cancer survivors leads to preventable morbidity, mortality, and increased healthcare costs. We sought to explore the prevalence of smoking and e-cigarette use among survivors of tobacco and non-tobacco related cancers. MethodsA cross-sectional analysis was conducted using the 2015–2018 National Health Interview Survey. Our primary outcome was the prevalence of current cigarette smoking or e-cigarette use among adults with self-reported history of tobacco related or non-tobacco related cancer. Logistic regression analysis was to assess the association of reported cancer type with cigarette smoking or e-cigarette use. Secondary outcomes included yearly trends and dual use. ResultsA total of 12,984 respondents reported a history of cancer, representing a weighted estimate of 5,060,059 individuals with a history of tobacco-related malignancy and 17,583,788 with a history of a tobacco and non-tobacco related cancer, respectively. Survivors of tobacco-related cancers had a significantly higher prevalence of current cigarette use (18.2 % vs 9.7 %, P < 0.0001), e-cigarette use (2.7 % vs 1.6 %, P < 0.0001) and similar rates of dual use. The prevalence of cigarette smoking among all survivors increased as time increased from the year of diagnosis up to 2 years post-diagnosis (P = 0.047). Odds of reporting current cigarette smoking use was higher for survivors of tobacco-related cancers, adjusted for sociodemographic factors (OR1.69, 95 % CI 1.44−1.99). ConclusionsSurvivors of tobacco-related cancers have a higher prevalence of current cigarette smoking and e-cigarette use compared to survivors of non-tobacco related cancers. There was a sequential increase in the prevalence of cigarette use during each subsequent year from the time of a new cancer diagnosis, underscoring the need for long term tobacco cessation support among newly diagnosed adults with cancer.

Cigarette Use, E-Cigarette Use, and Dual Product Use Are Higher Among Adults With Serious Psychological Distress in the United States: 2014-2017.

Cigarette use is declining yet remains common among adults with mental health conditions. In contrast, e-cigarette use may be on the rise. This study investigated the relationship between serious psychological distress (SPD) and the exclusive and dual use of cigarettes and e-cigarettes among US adults from 2014 to 2017. Data came from 2014 to 2017 National Health Interview Survey, an annual, cross-sectional survey of nationally representative samples of US adults (total combined analytic sample n = 125 302). Past-month SPD was assessed using the Kessler Psychological Distress Scale (K6) and cigarette and e-cigarette use were assessed at each wave. Logistic regressions examined product use by SPD status in 2017 and trends in product use by SPD status from 2014 to 2017. Analyses adjusted for demographic covariates. The prevalence of cigarette use, e-cigarette use, and dual use was higher among adults with SPD than without SPD in each year including the most recent data year 2017 (cigarette use, 39.50% vs. 13.40%, p < .001; e-cigarette use, 7.41% vs. 2.65%, p < .001; dual use, 5.30% vs. 1.26%, p < .001). Among adults with SPD, the prevalence of cigarette, e-cigarette, and dual product use did not change from 2014 to 2017 in contrast to a decreasing prevalence in cigarette, e-cigarette, and dual product use among individuals without SPD. US adults with SPD report higher levels of cigarette, e-cigarette, and dual product use than adults without SPD. Use of these products has not declined over the past several years in contrast to decreasing trends among adults without SPD. These data extend our knowledge of tobacco product use and mental health disparities by showing that in addition to higher levels of cigarette use, US adults with SPD also use e-cigarettes and dual products (cigarette and e-cigarette) more commonly than those without SPD. Furthermore, the use of these products has not declined over the past several years in contrast to continuing declines among adults without SPD. More research is needed to understand the potential positive and negative consequences of e-cigarette use among adults with SPD.

Association between cigarette use and adolescents' behavior.

ABSTRACTOBJECTIVETo determine the prevalence of cigarette use among adolescents and to identify associated health risk behaviors.METHODSThis is a cross-sectional study with a representative sample, composed of 1059 adolescents between 13 and 19 years old, enrolled in primary and secondary public schools of Olinda, Pernambuco, in 2014. Information was obtained through self-administered questionnaires (validated version of YRBS 2007). Cigarette experimentation was defined as smoking at least once in life. Adolescents who smoked at least one day within 30 days prior to the survey were considered current smokers. Most students were female and 16 years old or older.RESULTSAlmost 30% used it in life and about 10% smoked within the 30 days before the survey. Suicidal ideation (PR = 1.51, 95%CI 1.25–1.82), alcohol use (PR = 1.41, 95%CI 1.03–1.92), marijuana (PR = 1.64, 95%CI 1.37–1.96), excessive alcohol consumption (PR = 1.57, 95%CI 1.15–2.16) and sexual experience (PR = 1.78, 95%CI 1.43–2.21) have increased the risk of using cigarettes. Feelings of sadness (PR = 1.70, 95%CI 1.22–2.36), alcohol use (PR=2.40, 95%CI 1.12–5.12), excessive alcohol consumption (PR = 2.5, 95% CI 1.24–5.38), marijuana (PR = 2.31, 95%CI.57–3.39) and cocaine (PR = 1.99, 95%CI.32–3.01) increased the risk of cigarette use within the 30 days before the survey.CONCLUSIONSCigarette use among adolescents from Olinda was high, being considered higher than the national prevalence. Possible factors associated with cigarette use were drug use (alcohol, marijuana, and cocaine) and behaviors related to sexual experience, feelings of sadness and suicidal ideation.