[Prevalence of tobacco smoking and related factors in people aged 15 years and above in Beijing, 2014-2021].

Objective: To evaluate the effect of the implementation of Beijing Smoking Control Regulation in 2015 on the smoking prevalence in people aged ≥15 years in Beijing during 2014-2021, and explore factors associated with tobacco use behavior in local population. Methods Using a pooled cross-sectional design, data from Beijing Adult Tobacco Survey in 2014, 2016, 2019 and 2021 (4 surveys) were combined into one dataset. The 4 surveys used same multistage cluster sampling procedure. After complex survey weighting, multiple logistic regression models were constructed to analyze factors influencing smoking status. Results: A total of 8 484, 9 372, 8 534 and 10 551 respondents were included in the surveys in 2014, 2016, 2019 and 2021, respectively. The smoking prevalence rate was 23.4%, 22.3%, 20.3% and 19.9%, respectively, in Beijing residents aged ≥15 years, exhibiting a linear declining trend (P=0.010). Factors associated with current smoking in men were age 25-44 years (OR=2.22, 95%CI: 1.68-2.95) and 45-64 years, (OR=2.64, 95%CI: 2.06-3.39), educational level of high school (OR=0.69, 95%CI: 0.49-0.95) and undergraduate and above (OR=0.46, 95%CI: 0.33-0.63), and awareness of smoking causing stroke (OR=0.71, 95%CI: 0.61-0.81), and awareness of smoking causing lung cancer (OR=0.53, 95%CI: 0.42-0.66), the differences were significant (all P<0.05). After controlling interfering factors, the current smoking prevalence in men in 2019 (OR=0.73, 95%CI: 0.63-0.87, P<0.001) and 2021 (OR=0.72, 95%CI: 0.61-0.88, P<0.001) were significantly lower than that in 2014. Factors associated with current smoking in women were living alone (OR=1.80, 95%CI: 1.33-2.44), educational level of undergraduate and above (OR=0.43, 95%CI: 0.27-0.69), other occupations except doctor and teacher (OR=8.54, 95%CI: 2.80-26.02) or being retired/unemployed (OR=9.39, 95%CI: 3.19-27.65), and awareness of smoking causing cardiovascular events (OR=0.58, 95%CI: 0.39-0.84), and awareness of smoking causing lung cancer (OR=0.54, 95%CI: 0.35-0.83), the differences were significant (all P<0.05). No significant change in smoking status in women was found in 4 surveys. Conclusions: The smoking prevalence rate in men in Beijing has declined since the implementation of Beijing Smoking Control Regulation 5 years, indicating the effectiveness of legislative approach in tobacco control. Socio-demographic factors and the awareness level of tobacco harm could influence smoking status. Future tobacco control programs should target the people with lower education level, young men, women living alone, and those with occupations other than teachers/doctors or the unemployed/retired and include more comprehensive health education.

Temporal Trends in Tobacco Smoking Prevalence During the Period 2010-2020 in Vietnam: A Repeated Cross-Sectional Study.

Objectives: This study used repeated cross-sectional data from three national surveys in Vietnam to determine tobacco smoking prevalence from 2010 to 2020 and disparities among demographic and socioeconomic groups. Methods: Tobacco smoking temporal trends were estimated for individuals aged 15 and over and stratified by demographic and socioeconomic status (SES). Prevalence estimates used survey weights and 95% confidence intervals. Logistic regression models adjusted for survey sample characteristics across time were used to examine trends. Results: Tobacco smoking prevalence dropped from 23.8% in 2010 to 22.5% in 2015 and 20.8% in 2020. The adjusted OR for 2015 compared to 2010 was 0.87, and for 2020 compared to 2010 was 0.69. Smoking decreased less for employed individuals than unemployed individuals in 2020 compared to 2010. Smoking was higher in the lower SES group in all 3 years. Higher-SES households have seen a decade-long drop in tobacco use. Conclusion: This prevalence remained constant in lower SES households. This highlights the need for targeted interventions to address the specific challenges faced by lower-SES smokers and emphasizes the importance of further research to inform effective policies.

Prevalence of tobacco smoking and associated factors among adults in Ethiopia: a systematic review and meta-analysis.

Introduction: The public health concern of tobacco smoking is more prevalent in low- and middle-income countries including Ethiopia. Various studies have investigated tobacco smoking in various parts of Ethiopia. However, the findings have been inconsistent and characterized by significant variability. Besides, there is no nationally representative data on the subject, which could deter the design of effective intervention strategies to reduce tobacco-related problems. Therefore, this study aimed to estimate the pooled prevalence of tobacco smoking and associated factors among adults in Ethiopia. Methods: The study was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols Guideline. A detailed search was conducted from international databases including PubMed, Cochrane Library, Science Direct, CINAHL, African Journals Online, HINARI, Global Health, and Google Scholar. The extracted data was analyzed using STATA 14 software. A random-effects model was used to estimate the effect size. The Egger regression test and I2 statistics were used to determine potential publication bias and heterogeneity among the reviewed articles, respectively. Results: A total of 32 studies with 69,897 study participants were included in this systematic review and meta-analysis. The pooled prevalence of lifetime tobacco smoking among adults in Ethiopia was 16.0% (95% confidence Interval (CI): 13.6-18.39) and there was significant heterogeneity among the included studies (I2 = 99.1%, p < 0.001). Male adults were three times more likely to smoke tobacco as compared with females [OR = 3.22 (95% CI: 2.06-5.03)]. Being an alcohol user [OR = 3.78 (95%CI: 1.27-11.24)] and having tobacco-smoking friends [OR = 7.21 (95%CI: 5.56-9.35)] are potential determinant factors for tobacco smoking. Conclusion: The pooled prevalence of lifetime and current tobacco smoking among adults in Ethiopia was high, which calls for urgent intervention. Therefore, prioritization of tobacco control strategies, such as creating awareness about the public health importance of tobacco smoking, can help prevent and mitigate the effects of tobacco smoking. Alcohol control law enforcement should also be strengthened.

Tobacco smoking, smoking cessation and life expectancy among people with HIV on antiretroviral therapy in South Africa: a simulation modelling study.

INTRODUCTION: As access to effective antiretroviral therapy (ART) has improved globally, tobacco-related illnesses, including cardiovascular disease, cancer and chronic respiratory conditions, account for a growing proportion of deaths among people with HIV (PWH). We estimated the impact of tobacco smoking and smoking cessation on life expectancy among PWH in South Africa. METHODS: In a microsimulation model, we simulated 18 cohorts of PWH with virologic suppression, each homogenous by sex, initial age (35y/45y/55y) and smoking status (current/former/never). Input parameters were from data sources published between 2008 and 2022. We used South African data to estimate age-stratified mortality hazard ratios: 1.2-2.3 (females)/1.1-1.9 (males) for people with current versus never smoking status; and 1.0-1.3 (females)/1.0-1.5 (males) for people with former versus never smoking status, depending on age at cessation. We assumed smoking status remains unchanged during the simulation; people who formerly smoked quit at model start. Simulated PWH face a monthly probability of disengagement from care and virologic non-suppression. In sensitivity analysis, we varied smoking-associated and HIV-associated mortality risks. Additionally, we estimated the total life-years gained if a proportion of all virologically suppressed PWH stopped smoking. RESULTS: Forty-five-year-old females/males with HIV with virologic suppression who smoke lose 5.3/3.7 life-years compared to PWH who never smoke. Smoking cessation at age 45y adds 3.4/2.4 life-years. Simulated PWH who continue smoking lose more life-years from smoking than from HIV (females, 5.3 vs. 3.0 life-years; males, 3.7 vs. 2.6 life-years). The impact of smoking and smoking cessation increase as smoking-associated mortality risks increase and HIV-associated mortality risks, including disengagement from care, decrease. Model results are most sensitive to the smoking-associated mortality hazard ratio; varying this parameter results in 1.0-5.1 life-years gained from cessation at age 45y. If 10-25% of virologically suppressed PWH aged 30-59y in South Africa stopped smoking now, 190,000-460,000 life-years would be gained. CONCLUSIONS: Among virologically suppressed PWH in South Africa, tobacco smoking decreases life expectancy more than HIV. Integrating tobacco cessation interventions into HIV care, as endorsed by the World Health Organization, could substantially improve life expectancy.

Cannabis, Tobacco Use, and COVID-19 Outcomes.

Importance: It is unclear whether cannabis use is associated with adverse health outcomes in patients with COVID-19 when accounting for known risk factors, including tobacco use. Objective: To examine whether cannabis and tobacco use are associated with adverse health outcomes from COVID-19 in the context of other known risk factors. Design, Setting, and Participants: This retrospective cohort study used electronic health record data from February 1, 2020, to January 31, 2022. This study included patients who were identified as having COVID-19 during at least 1 medical visit at a large academic medical center in the Midwest US. Exposures: Current cannabis use and tobacco smoking, as documented in the medical encounter. Main Outcomes and Measures: Health outcomes of hospitalization, intensive care unit (ICU) admission, and all-cause mortality following COVID-19 infection. The association between substance use (cannabis and tobacco) and these COVID-19 outcomes was assessed using multivariable modeling. Results: A total of 72 501 patients with COVID-19 were included (mean [SD] age, 48.9 [19.3] years; 43 315 [59.7%] female; 9710 [13.4%] had current smoking; 17 654 [24.4%] had former smoking; and 7060 [9.7%] had current use of cannabis). Current tobacco smoking was significantly associated with increased risk of hospitalization (odds ratio [OR], 1.72; 95% CI, 1.62-1.82; P < .001), ICU admission (OR, 1.22; 95% CI, 1.10-1.34; P < .001), and all-cause mortality (OR, 1.37, 95% CI, 1.20-1.57; P < .001) after adjusting for other factors. Cannabis use was significantly associated with increased risk of hospitalization (OR, 1.80; 95% CI, 1.68-1.93; P < .001) and ICU admission (OR, 1.27; 95% CI, 1.14-1.41; P < .001) but not with all-cause mortality (OR, 0.97; 95% CI, 0.82-1.14, P = .69) after adjusting for tobacco smoking, vaccination, comorbidity, diagnosis date, and demographic factors. Conclusions and Relevance: The findings of this cohort study suggest that cannabis use may be an independent risk factor for COVID-19-related complications, even after considering cigarette smoking, vaccination status, comorbidities, and other risk factors.

Association between COVID-19 severity and tobacco smoking status: a retrospective cohort study using propensity score matching weights analysis.

INTRODUCTION: The COVID-19 pandemic continues to be a global threat to public health, with over 766 million confirmed cases and more than 6 million reported deaths. Patients with a smoking history are at a greater risk of severe respiratory complications and death due to COVID-19. This study investigated the association between smoking history and adverse clinical outcomes among COVID-19 patients admitted to a designated medical centre in Saudi Arabia. METHODS: A retrospective observational cohort study was conducted using patient chart review data from a large tertiary medical centre in the eastern region of the country. Patients admitted between January and December 2020 were screened. The inclusion criteria were ≥18 years of age and confirmed COVID-19 infection via reverse-transcription-PCR. The exclusion criteria were unconfirmed COVID-19 infection, non-COVID-19 admissions, unconfirmed smoking status, vaccinated individuals, essential chart information missing or refusal to consent. Statistical analyses comprised crude estimates, matching weights (as the main analysis) and directed acyclic graphs (DAGs) causal pathway analysis using an ordinal regression model. RESULTS: The sample comprised 447 patients (never-smoker=321; ever-smoker=126). The median age (IQR) was 50 years (39-58), and 73.4% of the sample were males. A matching weights procedure was employed to ensure covariate balance. The analysis revealed that the odds of developing severe COVID-19 were higher in the ever-smoker group with an OR of 1.44 (95% CI 0.90 to 2.32, p=0.130). This was primarily due to an increase in non-invasive oxygen therapy with an OR of 1.05 (95% CI 0.99 to 1.10, p=0.101). The findings were consistent across the different analytical methods employed, including crude estimates and DAGs causal pathway analysis. CONCLUSION: Our findings suggest that smoking may increase the risk of adverse COVID-19 outcomes. However, the study was limited by its retrospective design and small sample size. Further research is therefore needed to confirm the findings.

Changes in patient profiles in the cardiology department of the University Hospital Gabriel Touré (UH-GT) : results of two cross-sectional studies of 2010 and 2022.

BACKGROUND: Little is known about patient profile changes in medical facilities in our country, leading to this study to describe and compare patient profiles in 2010 and 2022. PATIENTS AND METHODS: This was a cross-sectional study with new outpatients aged 15 years and more seen in the cardiology department of the UH-GT. Measurements included height, weight and body mass index (BMI). Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were recorded. Quantitative data are presented as the mean with standard deviation, and categorical one as proportions. Statistical tests were the t test to compare means and chi-test for categorical variables. The level of significance was set to 0.05. RESULTS: The sample consisted of 515 new patients (199 in 2010 and 316 in 2022) with 59.1% female in 2010 and 60.1% in 2022 (p = 0.821). We noticed an increase in hypertension (59.1-71.8%, p = 0.003) and a decrease in tobacco smoking (from 13 to 05.4%, p = 0.002) and stroke (from 05.8 to 02.2%, p = 0.033). Height increased significantly from 1.59 m to 1.66 m, p = 0.002. SBP and DBP showed significant decreases in their means from 155.43 to 144.97 mmHg, p = < 0.001 for SBP and from 95.53 to 89.02 mmHg, p = < 0.001 for DBP. CONCLUSIONS: Cardiovascular risk factors showed different trends with decreasing tobacco smoking, similar to systolic and diastolic blood pressure, albeit with an increase in hypertension prevalence. Other CVrf values increased. Awareness campaigns must be reinforced and maintained to obtain their decrease.

Tobacco Smoking or Nicotine Phenotype and Severity of Clinical Presentation at the Emergency Department (SMOPHED): Protocol for a Noninterventional Observational Study.

BACKGROUND: In the last few years, several nicotine products have become available as alternatives to smoking tobacco. While laboratory and limited clinical studies suggest that these devices are less toxic compared to classic tobacco cigarettes, very little is known about their epidemiological impact. Visiting the emergency department (ED) often represents the first or even the only contact of patients with the health care system. Therefore, a study conducted at the ED to assess the impact of these products on health can be reliable and reflect a real-life setting. OBJECTIVE: The aim of this noninterventional observational study (SMOPHED study) is to analyze the association between the severity of clinical presentation observed during ED visits among patients using various nicotine products and the subsequent outcomes, specifically hospitalization and mortality. METHODS: Outcomes (hospitalization and mortality in the ED) will be examined in relation to various patterns of nicotine products use. We plan to enroll approximately 2000 participants during triage at the ED. These individuals will be characterized based on their patterns of tobacco and nicotine consumption, identified through a specific questionnaire. This categorization will allow for a detailed analysis of how different usage patterns of nicotine products correlate with the clinical diagnosis made during the ED visits and the consequent outcomes. RESULTS: Enrollment into the study started in March 2024. We enrolled a total of 901 participants in 1 month (approximately 300 potential participants did not provide the informed consent to participate). The data will be analyzed by a statistician as soon as the database is completed. Full data will be published by December 2024. CONCLUSIONS: There is substantial debate about the harm reduction potential of alternative nicotine products in terms of their smoking-cessation and risk-reduction potential. This study represents an opportunity to document epidemiological data on the link between the use of different types of nicotine products and disease diagnosis and severity during an ED visit, and thus evaluate the harm reduction potential claims for these products. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/54041.

Factors Influencing Tobacco Smoking and Cessation Among People Living with HIV: A Systematic Review and Meta-analysis.

Tobacco smoking is highly prevalent among people living with HIV (PLWH), yet there is a lack of data on smoking behaviours and effective treatments in this population. Understanding factors influencing tobacco smoking and cessation is crucial to guide the design of effective interventions. This systematic review and meta-analysis of studies conducted in both high-income (HICs) and low- and middle-income countries (LMICs) synthesised existing evidence on associated factors of smoking and cessation behaviour among PLWH. Male gender, substance use, and loneliness were positively associated with current smoking and negatively associated with smoking abstinence. The association of depression with current smoking and lower abstinence rates were observed only in HICs. The review did not identify randomised controlled trials conducted in LMICs. Findings indicate the need to integrate smoking cessation interventions with mental health and substance use services, provide greater social support, and address other comorbid conditions as part of a comprehensive approach to treating tobacco use in this population. Consistent support from health providers trained to provide advice and treatment options is also an important component of treatment for PLWH engaged in care, especially in LMICs.

Tobacco smoking and nicotine vaping in persons with first episode psychosis.

Tobacco smoking is highly prevalent in persons with psychosis and is the leading cause of preventable mortality in this population. Less is known about tobacco smoking in persons with first episode psychosis (FEP) and there have been no estimates about the prevalence of nicotine vaping in FEP. This study reports rates of tobacco smoking and nicotine vaping in young people with FEP enrolled in Coordinated Specialty Care programs in Pennsylvania and Maryland. Using data collected from 2021 to 2023, we examined lifetime and recent smoking and vaping and compared smokers and vapers to nonusers on symptoms, functioning, and substance use. The sample included 445 participants aged 13-35 with recent psychosis onset. Assessments were collected by program staff. Overall, 28 % of participants engaged in either smoking or vaping within 30 days of the admission assessment. Smokers and vapers were disproportionately male, cannabis users, and had lower negative symptom severity than non-smokers. Vapers had higher role and social functioning. Both smoking and vaping were related to a longer time from psychosis onset to program enrollment. We compare these findings to previous studies and suggest steps for addressing smoking and vaping in this vulnerable population.

A decade of tobacco control efforts: Implications for tobacco smoking prevalence in Eastern Mediterranean countries.

BACKGROUND AND OBJECTIVES: This study aimed to assess the association between the 10-year implementation of tobacco control policies, cigarette affordability index and changes in tobacco smoking prevalence across Eastern Mediterranean (EMR) countries. MATERIALS AND METHODS: An ecologic study was conducted using EMR countries as the analytical unit. Data from three sources were utilized: the MPOWER scale to measure tobacco control policy implementation (2010-2020), the tobacco affordability index (expressed as a percentage of GDP per capita required to purchase 2000 cigarettes, from 2010 to 2020), and national tobacco smoking prevalence data for EMR countries (2010-2023). Linear Fixed-effect regression was employed to investigate associations between changes in MPOWER scores, the cigarette affordability index, and alterations in tobacco prevalence over a decade. RESULTS: Statistically significant inverse associations were observed between changes in MPOWER scores and tobacco smoking prevalence among both men and women in EMR countries (P-value<0.05). Each unit increase in MPOWER score corresponded to a 0.26% reduction in tobacco prevalence among men and a 0.12% reduction among women. The regression model revealed that each unit increase in the cigarette affordability index was linked to a 0.9% decrease in tobacco smoking prevalence across EMR countries (P-value<0.05). Furthermore, even after adjusting for multiple confounders, significant inverse associations were noted between tobacco monitoring (ß = -0.41), health warning (ß = -0.45), and changes in tobacco smoking prevalence (P-value<0.05). CONCLUSION: This study underscored the effectiveness of enhancing the implementation of tobacco control policies and increasing the cigarette affordability index as preventive measures to reduce tobacco smoking prevalence in EMR countries over the past decade.

Racial and Ethnic Disparities in Adolescent Combustible Tobacco Smoking From 2014 to 2020: Declines Are Lagging Among Non-Hispanic Black Youth.

INTRODUCTION: We quantified the linear trend in combustible tobacco smoking among adolescents in the United States from 2014 to 2020, and then compared these trends across racial and ethnic categories. We also tested the effect of e-cigarette use on these trends for all-youth and across racial and ethnic categories. AIMS AND METHODS: We pooled and analyzed seven years of National Youth Tobacco Survey data for n = 124 151 middle and high school students from 2014 to 2020. Weighted logistic regression analyses calculated the annual change in combustible tobacco smoking (ie cigarettes, cigars, and hookah) from 2014 to 2020. Stratified analyses examined linear trends for non-Hispanic White (NHW), NH-Black (NHB), Hispanic/Latino, and NH-Other (NHO) youth. All-models controlled for sex, grade level, and past 30-day e-cigarette use. RESULTS: Combustible tobacco smoking from 2014 to 2020 dropped by more than 50% for NHW youth, more than 40% for Latino and NHO youth, compared to just 16% among NHB youth. From 2014 to 2020, the odds of combustible tobacco smoking declined by 21.5% per year for NHWs, which was significantly greater than Hispanic/Latinos (17% per year; p = .025), NHOs (15.4% per year; p = .01), and NHBs (5.1% per year; p < .001), adjusting for sex, grade, and e-cigarette use. Trends and disparities in trends by race and ethnicity were observed independent of e-cigarette use. CONCLUSIONS: Combustible tobacco smoking declined for all-youth but at significantly different rates across races and ethnicities. Notably, declines in combustible tobacco smoking are lagging among NHB youth. Interventions are critically needed to address this disparity. IMPLICATIONS: A direct, evidence-based intervention to reduce combustible tobacco smoking among NHB youth is critically needed. Such tobacco control initiatives should follow the Best Practices for Comprehensive Tobacco Control Framework, incorporating sustainable funding for school-based intervention, public health education, and adult cessation.

An overview of tobacco use in France: Observed trends and new challenges / État des lieux de la situation du tabagisme en France : tendances observées et nouveaux enjeux

This article reports changes in tobacco and vaping consumption in France over the last thirty years and the issues they raise for public authorities in terms of prevention and management of the social and health consequences. This report is the result of a joint analysis by Santé publique France (SpF) and the French Monitoring Center for Drugs and Drug Addiction (OFDT). It shows that there has been a "generational shift" in tobacco consumption and social representations of cigarettes since the mid-2010s, with a sharp decline in tobacco initiation among adolescents, which has become less common and reported at an older age, which was one of the objectives of the national tobacco reduction plans. However, smoking remains fairly stable among adults, predominantly among men, with gaps between men and women persisting since the early 2000s. Beyond the gender gap, social disparities in consumption remain significant, both among youth and adults. However, while the prevalence of smoking is no longer increasing, the prevalence of vaping is rising, which is a public health concern since some of these practices involve nicotine consumption. This also entails the risk of a "renormalization" of the act of smoking, a matter of concern for health authorities in France as in other European countries. The analysis concludes that the statistical information system and qualitative surveys need to be adapted to ensure a reliable monitoring of the situation, taking into account the rapid transformations of the market.

Cet article fait le point sur les évolutions en matière de consommation de tabac et de produits de vapotage, en France, depuis une trentaine d'années, et les enjeux qu'elles soulèvent pour les pouvoirs publics, en termes de prévention et de prise en charge des conséquences sociosanitaires. Produit d'une analyse conjointe de Santé publique France (SpF) et de l'Observatoire français des drogues et des tendances addictives (OFDT), il montre d'abord un « tournant générationnel ¼ dans la consommation de tabac et les représentations sociales de la cigarette depuis le milieu des années 2010, avec un recul marqué de l'expérimentation parmi les adolescents, qui est devenue à la fois moins courante et plus tardive, ce qui était un des objectifs des plans nationaux de réduction du tabagisme successivement mis en place depuis 2014. Le tabagisme reste néanmoins assez stable parmi les adultes, prédominant chez les hommes, avec des écarts entre hommes et femmes qui se maintiennent depuis le début des années 2000. Au-delà du différentiel de genre, les disparités sociales de consommation restent importantes, parmi les jeunes comme à l'âge adulte. Cependant, si la prévalence du tabagisme ne progresse plus, celle du vapotage augmente, ce qui constitue un point d'attention dès lors qu'une partie de ces pratiques induit une consommation de nicotine. Cela induit également le risque d'une « renormalisation ¼ de l'acte de fumer, qui constitue un point de vigilance des autorités sanitaires, en France comme dans d'autres pays européens. L'analyse se conclut sur la nécessité de continuer à adapter le système d'information statistique et les enquêtes qualitatives pour permettre un suivi épidémiologique de la situation qui reste performant.

Prevalence and characteristics of co-occurrence of smoking and increasing-and-higher-risk drinking: A population survey in England.

BACKGROUND: Smoking and drinking alcohol both significantly contribute to mortality and morbidity, and there is a need to characterise the sociodemographic and health-related characteristics (e.g. mental distress) of people who do both in order to target resources. This study reports the prevalence and characteristics of adults in the general population in England who both drink alcohol at increasing-and-higher-risk levels and smoke. METHODS: We used cross-sectional data from a monthly, nationally representative survey of adults in England (n = 37,258; April 2020-March 2022). Weighted data were used to report prevalence and unweighted data were used to report descriptive statistics for sociodemographic and health-related characteristics. RESULTS: The prevalence of both smoking and increasing-and-higher-risk drinking was 4.6% (95% CI = 4.4-4.9; n = 1,574). They smoked a mean of 10.4 (SD = 8.86) cigarettes per day and had a mean AUDIT score of 12.8 (SD = 5.18). Nearly half (48.2%, n = 751) were trying to cut down on their smoking and 28.0% (n = 441) on their drinking. A quarter (25.3%, n = 397) had received General Practitioner advice on smoking while 8.7% (n = 76) had received advice on their drinking. Nearly half (48.6%, n = 745) reported experiencing psychological distress in the past month and 44.6% (n = 529) had a diagnosed mental health condition, both of which were higher than among all adults (28.1% and 29.1%, respectively). CONCLUSION: In England, from April 2020 to March 2022, the prevalence of both smoking and increasing-and-higher-risk drinking was 4.6%. This group appears to experience high rates of mental health problems and targeted support is needed.

Motivations for continued tobacco smoking and reasons for quitting among youths in Wakiso district, Uganda: a qualitative study.

BACKGROUND: Efforts have been invested towards cessation of tobacco use among youths aged 18-35 years, however, motivators for continued tobacco smoking and reasons for quitting are limited in Ugandan settings. Therefore, this study aimed to explore motivations for continued tobacco smoking and reasons for quitting in Wakiso district Uganda. METHODS: This study used explanatory sequential method. Data from a Population-based survey collected from October 2019 to September 2020 was used to select participants for this qualitative study. Twenty-three in-depths interviews were conducted from July to October 2021 among youths (18-35years old) who reported continued tobacco use and those who quit. Data were analyzed using a team-based thematic content approach with the help of NVivo. RESULTS: Data was collected from a total of twenty three participants, fourteen were tobacco quitters and nine were current tobacco smokers. Recurrent habit, desire to complement the use of other drugs, peer pressure, using smoking as a replacement for alcohol consumption, low tobacco prices, smoking as a tradition were reported as motivators for continued tobacco smoking. However, reported reasons for quitting smoking by youths included; packaging health warnings, school based prevention programs, fear of associated health risks due to tobacco use, embarrassment from family members. CONCLUSION: Targeted, and tailored tobacco prevention counselling through family support programs, intensified health education on the risks of smoking, and implementing stronger health warnings on tobacco packaging can be employed to reduce or stop tobacco use among urban youth.

The associations of parental smoking, quitting and habitus with teenager e-cigarette, smoking, alcohol and other drug use in GUI Cohort '98.

We analyse parental smoking and cessation (quitting) associations with teenager e-cigarette, alcohol, tobacco smoking and other drug use, and explore parental smoking as a mechanism for social reproduction. We use data from Waves 1-3 of Growing Up in Ireland (Cohort '98). Our analytic sample consisted of n = 6,039 participants reporting in all 3 Waves. Data were collected in Waves 1 and 2 when the children were 9 and 13 years old and in Wave 3 at age 17/18 years. Generalized Estimating Equations (GEE) models were used to analyse teenage substance use at Wave 3. Parental smoking was associated with significantly increased risk of all teenage substance use, adjusted odds ratios were aOR2.13 (ever e-cigarette use); aOR1.92 (ever alcohol use); aOR1.88 (current alcohol use); aOR1.90 (ever use of other drugs); aOR2.10 (ever-smoking); and aOR1.91 (current smoking). Primary caregiver smoking cessation (quitting) was associated with a lower risk for teenager current smoking aOR0.62, ever e-cigarette use aOR 0.65 and other drug use aOR 0.57. Primary caregiver smoking behaviour had greater associations than secondary, and age13 exposure more than age 9. Habitus seems to play a role and wealth was protective for teenage smoking. The findings suggest that prevention interventions should target both caregivers and their children.