Trends In Smoking Prevalence Research Articles

Trends in Smoking Prevalence and Intensity between 2010 and 2018: Implications for Tobacco Control in China.

Background: China is the world’s largest producer and consumer of cigarettes. Since 2010, the Chinese government has implemented many policies to combat the tobacco epidemic, yet little is known about their overall impacts. This study aims to investigate the trends in smoking prevalence and intensity between 2010 and 2018. Methods: We use five waves of data from China Family Panel Studies (CFPS), a nationally representative survey, to examine the trends in smoking prevalence and intensity. We use the chi-square test and t-test to examine differences across waves. Binary logistic regressions and linear regressions are applied to examine the association between smoking behaviors and risk factors. Results: The current smoking prevalence dropped from 30.30% in 2010 (90% CI 29.47–31.31) to 28.69% (90% CI 27.69–29.69) in 2018. As for smoking intensity, the average daily cigarettes consumption decreased steadily from 16.96 cigarettes (90% CI 16.55–17.36) in 2010 to 15.12 cigarettes (90% CI 15.07–15.94) in 2018. Smoking risk factors for men included marriage status, education level, employment status, alcohol consumption, and physical activities. The smoking risk was higher for women with a lower education level, lower household income, unemployment status, and alcohol consumption behavior. Conclusions: Our study shows declined trends in both smoking prevalence and intensity between 2010 and 2018, suggesting some positive progress in tobacco control in China. Nonetheless, to achieve the goal of reducing smoking prevalence among people aged 15 and above to less than 20% by 2030, the Chinese government needs to take stronger anti-tobacco measures.

Inequalities in Smoking and Quitting-Related Outcomes Among Adults With and Without Children in the Household 2013-2019: A Population Survey in England.

IntroductionSmoking among those who live with children is an important influence on smoking initiation among children. This study assessed socioeconomic inequalities in smoking and quitting-related outcomes among all adults with and without children in the household.Aims and MethodsMonthly repeat cross-sectional household survey of adults (16+) from 2013–2019 in England (N = 138 583). We assessed the association between cigarette smoking and quitting-related outcomes and having children in the household, and whether these relationships were moderated by occupational social grade (categories AB–E from most to least advantaged). Trends in smoking prevalence among adults with and without children in the household were explored.ResultsIn adjusted analysis, the association of having children in the household with smoking prevalence depended on social grade: smoking prevalence was between 0.71 (95% confidence interval 0.66–0.77) and 0.93 (0.88–0.98) times lower among social grades AB–D with children in the household relative to those without. Conversely, it was 1.11 (1.05–1.16) times higher among social grade E. Yearly prevalence declined similarly among those with and without children (both prevalence ratio: 0.98, 95% confidence interval 0.97–0.99). Motivation to stop smoking was higher among those with children than those without, but lower among disadvantaged than more advantaged groups. Social grades D–E had greater heavy smoking, but higher prevalence of past-month quit attempts.ConclusionsAmong the most disadvantaged social grade in England, smoking prevalence was higher in those with children in the household than without. To attenuate future smoking-related inequalities, there is an urgent need to target support and address barriers to quitting and promote longer-term quit success.ImplicationsIn the most disadvantaged occupational social grade, having children in the household was associated with higher smoking prevalence compared with not having children. This contrasts with all other social grades in which there was lower comparative smoking prevalence among those with than without children in the household. Without attention this disparity could exacerbate existing and future health inequalities related to smoking.

Cigarette prices in eight sub-Saharan African countries in 2018: a cross-sectional analysis

ObjectiveWhile the trend in smoking prevalence is decreasing worldwide, the number of male tobacco smokers is growing in Africa. This study compares the cigarette market in eight sub-Saharan African countries....

Prevalence of tobacco smoking and association with other unhealthy lifestyle risk factors in the general population of Greece: Results from the EMENO study.

INTRODUCTIONThe EMENO (National Morbidity and Risk Factors) survey is one of the first and most representative population-based surveys in Greece due to its study design and sampling procedure. We aimed to estimate the prevalence of smoking, secondhand smoking (SHS) and their potential associations with other socioeconomic and unhealthy lifestyle risk factors.METHODSEMENO is a cross-sectional health status survey conducted in Greece from May 2013 to June 2016. The survey was performed using face-to-face interviews and enrolled 6006 adults. Data were collected through questionnaires administered by trained interviewers. Current smoking (CS) and SHS were based on self-reporting. Analysis accounted for study design.RESULTSInformation on smoking was available for 5862 individuals (97.6%). Overall, 37.8% were current and 16.1% former smokers. More males (44.3%) than females (31.6%) were current smokers. CS increased during adulthood and declined sharply in the elderly (p<0.001). Smoking initiation by the age of 17 years was reported by 48.7% of males and 36.2% of females. Multivariable analysis showed that higher alcohol consumption (>7 glasses/ week, OR=2.52; 95% CI: 1.97–3.23) and lower education level in men were positively associated with ever smoking. Moreover, women aged >35 years and respondents with low adherence to the Mediterranean diet (MD) (high/ low, OR= 0.35; 95% CI: 0.21–0.58) had higher odds to be current smokers than former smokers. Finally, the overall prevalence of exposure to SHS at work, home and public places was 38.8%, 30% and 44.6 %, respectively.CONCLUSIONSUnhealthy lifestyles of smokers, increased rates of CS in vulnerable groups, such as females and young adults, and early age of smoking initiation constitute alarming public health issues in Greece.

Trend in Prevalence of Smoking and Motivation to Quit among Korean Adult Male Cancer Survivors over the Last 8 Years: The Korea National Health and Nutrition Examination Survey V–VII (2010–2017)

BackgroundThis study aimed to investigate trends in the prevalence of current smokers and motivation to quit among Korean male cancer survivors.MethodsOut of 20,012 men who participated in the Korea National Health and Nutrition Examination Survey V (2010–2012), VI (2013–2015), and VII (2016–2017), 742 cancer survivors were included. A cancer survivor was defined as a person who concurred to the item, “The cancer has been diagnosed by a doctor” in the health questionnaire. Smoking status was classified as current, former, and never smokers. Regarding motivation to quit smoking, we defined those who had a willingness to quit within 6 months as the willing group. Logistic regression analysis was conducted to examine trends in the prevalence of current smokers and the proportion of the willing group among current smokers.ResultsOverall, 3.7% of Korean men who participated in the study were cancer survivors. Current smokers constituted 19.5%, 19.1%, and 15.3% of cancer survivors in phases V, VI, and VII respectively which did not show significant changes (P for trend=0.33). However, the proportion of current smokers in the non-cancer group was significantly reduced to 46.6%, 41.2%, and 38.9% in phases V, VI, and VII, respectively (P for trend <0.001). The proportion of those with a motivation to quit smoking did not show a significant trend in the cancer survivors (P for trend=0.964) and non-cancer group (P for trend=0.884).ConclusionPrevalence of current smokers and motivation to quit in Korean male cancer survivors did not show significant trends.

Trends in smoking prevalence by occupations defined in the Japan Standard Occupational Classification: A repeated cross-sectional analysis of the Comprehensive Survey of Living Conditions, 2001-2016

Objectives Few studies have focused on the relationship between smoking habits and occupation in Japan. This study aimed to examine the changes in smoking prevalence by occupation, specifically those occupations defined in the Japan Standard Occupational Classification (JSOC).Methods We analyzed data from the Comprehensive Survey of Living Conditions, a large nationally representative survey conducted in Japan every three years, between 2001 and 2016. Survey participants were asked whether they (1) "never smoked," (2) "smoked daily," (3) "smoked occasionally but not every day," or (4) "used to smoke daily (before, at least one month)." Participants who answered (2) "smoked daily" or (3) "smoked occasionally but not every day" were considered "current smokers." Age-standardized smoking prevalence was computed based on the JSOC (10 categories: administrative and managerial; professional; clerical; sales; services; security; agriculture, forestry, and fishing; transport; manufacturing, construction, mining, carrying, cleaning, and packaging; and unemployment). The analyses were restricted to workers and unemployed men and women aged 25 to 64 years old.Results Between 2001 and 2016, the smoking prevalence (of the entire population aged 25 to 64 years old) decreased from 56.0% (95% confidence interval [95% CI]: 55.8-56.3%) to 38.4% (95% CI: 38.1-38.6%) among men, and from 17.0% (95% CI 16.8-17.2%) to 13.0% (95% CI 12.8-13.1%) among women. In 2016, the smoking prevalence for clerical (the lowest smoking prevalence) and transport workers (the highest smoking prevalence) was 27.9% (95% CI: 27.0-28.8%) and 48.3% (95% CI: 46.8-49.7%), respectively, for men, and 9.4% (95% CI: 9.0-9.7%), and 38.5% (95% CI: 32.6-44.5%), respectively, for women. Between 2001 and 2016, the smoking prevalence for men decreased for all occupations, whereas for women, the smoking prevalence decreased for all occupations except for security and for transport workers. The largest reduction rate of smoking prevalence between 2001 and 2016 for men and for women was observed in clerical workers (-21.0%) and sales workers (-7.2%), respectively. We also found that clerical workers had the lowest smoking prevalence across the 5-year age categories for both sexes, especially the younger age, which resulted in the largest differences in smoking prevalence by occupation among men aged 30 to 34 years old.Conclusion We confirmed that, between 2001 and 2016, the lowest and highest smoking prevalence for both sexes is found among clerical workers and among transport workers, respectively. Although smoking prevalence has declined among working-aged men and women between 2001 and 2016, large differences by occupations consistently exist in Japan. It is necessary to take measures against smoking habits in consideration of their social backgrounds and work environments.

The Mexico SimSmoke tobacco control policy model: Development of a simulation model of daily and nondaily cigarette smoking.

BackgroundNondaily smoking has been on the rise, especially in Mexico. While Mexico has strengthened its tobacco control policies, their effects on nondaily smokers have gone largely unexamined. We developed a simulation model to estimate the impact of tobacco control policies on daily and nondaily smoking in Mexico.MethodsA previously validated Mexico SimSmoke model that estimated overall trends in smoking prevalence from 2002 through 2013 was extended to 2018 and adapted to distinguish daily and nondaily smoking prevalence. The model was then validated using data from Mexican surveys through 2016. To gauge the potential effects of policies, we compared the trends in smoking under current policies with trends from policies kept at their 2002 levels.ResultsBetween 2002 and 2016, Mexico SimSmoke underestimated the reduction in male and female daily smoking rates. For nondaily smoking, SimSmoke predicted a decline among both males and females, while survey rates showed increasing rates in both genders, primarily among ages 15–44. Of the total reduction in smoking rates predicted by the model by 2018, tax policies account for more than 55%, followed by health warnings, cessation treatment, smoke-free air laws, and tobacco control spending.ConclusionsAlthough Mexico SimSmoke did not successfully explain trends in daily and nondaily smoking, it helps to identify gaps in surveillance and policy evaluation for nondaily smokers. Future research should consider appropriate measures of nondaily smoking prevalence, trajectories between daily and nondaily smoking, and the separate impact of tobacco control policies on each group.

State-Level Patterns and Trends in Cigarette Smoking Across Racial and Ethnic Groups in the United States, 2011-2018.

IntroductionReducing racial/ethnic disparities in smoking is a priority for state tobacco control programs. We investigated disparities in cigarette use by race/ethnicity, as well as trends in cigarette use across racial/ethnic groups from 2011 to 2018 in 50 US states and the District of Columbia.MethodsWe used data from the Behavioral Risk Factor Surveillance System. In each state, smoking prevalence and corresponding 95% CIs were estimated for each racial/ethnic group in 2011, 2014, and 2018. We used logistic regression models to examine state-specific linear and quadratic time trends in smoking prevalence from 2011 to 2018.ResultsRacial/ethnic disparities in smoking prevalence varied across states. From 2011 to 2018, compared with White adults, the odds of smoking were lower among Black adults in 14 states (odds ratio [OR] range, 0.58–0.91) and were higher in 9 states (OR range, 1.10–1.98); no differences were found in the odds of smoking in 13 states. Compared with White adults, the odds of smoking were lower among Hispanic adults in most states (OR range, 0.33–0.84) and were typically higher among Other adults (OR range, 1.19–2.44). Significant interactions between year and race/ethnicity were found in 4 states, indicating that time trends varied across racial/ethnic groups. In states with differential time trends, the decline in the odds of smoking was typically greater among Black, Hispanic, and Other adults compared with White adults.ConclusionSome progress in reducing racial/ethnic disparities in smoking has been made, but additional efforts are needed to eliminate racial/ethnic disparities in smoking.

International randomised controlled trial evaluating metabolic syndrome in type 2 diabetic cigarette smokers following switching to combustion-free nicotine delivery systems: the DIASMOKE protocol

This article has been retracted.

Trends in Prevalence of Cigarette Smoking in Brazil: 2006-2019.

Objectives. To analyze trends in cigarette smoking among Brazilian adults from 2006 to 2019.Methods. We performed a time-series analysis based on data from the Surveillance of Risk and Protective Factors for Chronic Diseases Telephone Survey (n = 730 309). We calculated the annual prevalence of current cigarette smokers, heavy smokers, and passive smokers in the workplace and investigated linear trends using Prais-Winsten regression, for the entire period and for the past 5 years. We performed the analyses for the total population and according to the sociodemographic characteristics.Results. The prevalence of cigarette smoking, heavy smoking, and passive smoking in the workplace declined, respectively, an average of 3.99% per year, 5.65% per year, and 6.55% per year from 2006 to 2019. We observed this reduction regardless of gender, age, educational level, and geographic region. The magnitude of reduction in the prevalence of current cigarette smoking decreased in the past 5 years, while the magnitude of the change in heavy smoking increased.Conclusions. The prevalence of cigarette smoking decreased in the time period studied. The smaller magnitude of reduction for current cigarette smoking in the most recent years might indicate a fatigue with the current policy scenario.

The Role of Novel (Tobacco) Products on Tobacco Control in Italy.

In Italy, electronic cigarettes have spread since 2010 and heated tobacco products (HTP) since 2016. We investigated their public health consequences on conventional cigarette smoking, taking advantage of a series of cross-sectional studies annually conducted between 2001 and 2019 in Italy. Every year, the sample, including around 3000 individuals, was representative of the general Italian population aged ≥15 years. In Italy, smoking prevalence steadily declined from 29.1% in 2001 to 20.6% in 2013, then increased to 22.0% in 2019. In 2017–2019, current electronic cigarette users were 2.1% and in 2019 current HTP users were 1.1%. Among 498 ever electronic cigarette users, 23.2% started or re-started smoking and 15.7% quit smoking after electronic cigarette use; of 49 ever HTP users, 19.1% started or re-started smoking combusted cigarettes and 14.6% quit smoking after HTP use. The availability of novel products in Italy resulted in a halt of the decreasing trend in smoking prevalence. For the first time, we observed an increase of Italians inhaling nicotine, concurrently with the spread of novel (tobacco) products. More importantly, the use of novel products appears to increase—rather than decrease—the likelihood of smoking conventional cigarettes. Considering this evidence, we see no argument to justify the huge fiscal and regulatory benefits these products continue to have, at least in Italy.

Maternal smoking during pregnancy: Trends and determinants in the conception to community study.

Despite earlier declines, maternal smoking during pregnancy continues to be a public health problem. We examined trends and factors associated with maternal smoking during and between pregnancy over six years. Participants were 27 532 pregnant women in Tasmanian public hospitals whose smoking status was gathered by midwives during perinatal care between July 2008 and June 2014. Generalized linear modeling was used to examine the trends in prevalence of maternal smoking over time and factors associated with change in smoking status both within and between pregnancies. Smoking during pregnancy decreased from 25.9% in 2008 to 16.4% in 2014 (57.9% decline). Multivariable regression analysis suggested that maternal alcohol consumption during pregnancy, living in a highly socioeconomically disadvantaged area, and being an Aboriginal or Torres Strait Islander significantly increased the risk of maternal smoking during pregnancy. Being older, married, or in a de facto relationship, and intending to breastfeed were associated with reduced risk of smoking during pregnancy. Between index (first birth recorded in data set) and last pregnancy, 35.1% of smokers quit, but 5.1% of nonsmokers started smoking. Only 8.1% of mothers who smoked during the first half of pregnancy quit by the second half. Maternal smoking during pregnancy is decreasing. To sustain the decline, preventive efforts must address the role of social determinants of health (eg, mothers who drink alcohol, live in highly disadvantaged areas, are younger and single) among women who smoke during pregnancy.

An age-period-cohort analysis of the difference in smoking prevalence between urban and non-urban areas in Japan (2004-2019).

OBJECTIVESThis study aimed to conduct an age-period-cohort (APC) analysis of smoking prevalence trends in urban and non-urban areas in Japan.METHODSData on smoking prevalence from 2004 to 2019 were extracted from the Comprehensive Survey of Living Conditions in Japan. Government ordinance-designated cities and special wards in Tokyo were defined as urban areas. The respondents ranged from 20 years to 79 years old, and were grouped in 5-year intervals. Cohorts were defined for each age group of each year, and those born between 1925-1929 and 1995-1999 were examined. We calculated the estimated smoking prevalence for each age, period, and cohort, as well as the smoking prevalence ratio of non-urban areas compared with urban areas from the APC analysis results.RESULTSThe magnitude of the decrease in the period effect on smoking prevalence was larger in urban areas than in non-urban areas for both men and women. The smoking prevalence ratio for non-urban areas compared with that of urban areas was above 1 for men at most time points, except in the older age groups. In addition, the prevalence ratio between the areas decreased, particularly as age increased. For women, the smoking prevalence ratio in non-urban areas compared to urban areas was below 1 until cohorts born in the 1970s, but the trend reversed thereafter.CONCLUSIONSThe results of this study suggest that further smoking control and cessation measures are necessary, particularly for older cohorts in urban women and for younger ages in non-urban men.

Sex-specific trends in smoking prevalence over seven years in different Austrian populations: results of a time-series cross-sectional analysis.

ObjectivesAim of this study was to examine trends over time in smoking status in men and women, and in subgroups, in Austria, a country with poor smoking regulation policies.Design and participantsTwo cross-sectional surveys (Austrian Health Interview Surveys for 2007 and 2014), each with more than 15 000 participants from the general population, aged ≥15 years.Outcome measuresPrevalence of self-reported daily smoking. ORs for daily smoking in subgroups, presented as results of logistic regression models, adjusted for sociodemographic variables and presence of chronic diseases.ResultsPrevalence of daily cigarette smoking was 26.0% for men in both years, and increased from 19.1% to 22.0% (p<0.001) in women from 2007 to 2014. Smoking prevalence increased especially in female patients with diabetes mellitus (from 9.9% to 16.4%, p=0.005), obesity (from 17.1% to 21.6%, p=0.010) and hypertension (from 11.2% to 14.2%, p=0.010). Smoking prevalence increased significantly in unemployed men (from 43.6% to 57.1%, p<0.001). In women, smoking prevalence increased in those aged 30–64 years (from 21.9% to 26.3%, p<0.001) and 65+ (from 3.9% to 6.2%, p=0.002), with primary (from 17.2% to 24.4%, p<0.001) and secondary education (from 21.4% to 23.4%, p=0.021), and with a European (from 16.6% to 26.1%, p<0.001) and non-European migration background (from 25.0% to 32.8%, p=0.003). In the adjusted analysis for women in 2014, there was a higher likelihood of smoking (OR 1.22, 95% CI 1.12 to 1.32, p<0.001) compared with 2007, and for those affected by a chronic disease (OR 1.15, 95% CI 1.06 to 1.25, p=0.002).ConclusionsThere has been a remarkable increase in smoking prevalence over the 7-year period in women in Austria, especially for those with chronic diseases, higher age, lower education and a migration background. Better political and clinical efforts are needed to reduce the high tobacco use in Austria.

Modeling smoking-attributable mortality among adults with major depression in the United States

Tobacco-related health disparities disproportionately affect smokers with major depression (MD). Although tobacco simulation models have been applied to general populations, to date they have not considered populations with a comorbid mental health condition. We developed and calibrated a simulation model of smoking and MD comorbidity for the US adult population using the 2005–2018 National Surveys on Drug Use and Health. We use this model to evaluate trends in smoking prevalence, smoking-attributable mortality and life-years lost among adults with MD, and changes in smoking prevalence by mental health status from 2018 to 2060. The model integrates known interaction effects between smoking initiation and cessation, and MD onset and recurrence. We show that from 2018 to 2060, smoking prevalence will continue declining among those with current MD. In the absence of intervention, people with MD will be increasingly disproportionately affected by smoking compared to the general population; our model shows that the smoking prevalence ratio between those with current MD and those without a history of MD increases from 1.54 to 2.42 for men and from 1.81 to 2.73 for women during this time period. From 2018 to 2060, approximately 484,000 smoking-attributable deaths will occur among adults with current MD, leading to 11.3 million life-years lost. Ambitious tobacco control efforts could alter this trajectory. With aggressive public health efforts, up to 264,000 of those premature deaths could be avoided, translating into 7.5 million life years gained. This model can compare the relative health gains across different intervention strategies for smokers with MD.

Analysis of trends on smoking prevalence and its risk factors in Shaanxi province 2007-2015

Objective: To analyze the trend of smoking prevalence and its risk factors among adults in Shaanxi province from 2007 to 2015. Methods: We used data from China Chronic Disease and Risk Factor Surveillance in 2007, 2010, 2013 and 2015. The current smoking prevalence and trends of the four surveys were calculated. Its risk factors were analyzed by multivariate logistic regression from each survey and then from all pooled data of the three surveys. Results: The number of participants in 2007, 2010, 2013 and 2015 was 1 542, 3 000, 10 166 and 6 330, respectively. The current smoking prevalence dropped from 34.34% in 2007 to 26.22% in 2013, but increased to 28.33% in 2015 (trend χ(2) test: Z=2.53, P=0.01). The results from four pooled data showed that the current smoking prevalence of men was higher than that of women (OR=75.03, 95%CI: 63.57-88.55). The current smoking prevalence of people aged 45-59 was higher than that of people aged 18-44 (OR=1.28, 95%CI: 1.15-1.41). In addition, the current smoking prevalence of those who were educated for 7-9 years and more than 9 years were higher than those who were educated for less than 6 years (people with education for 7-9 years OR=1.44, 95%CI: 1.29-1.61; people with education >9 years OR=1.43, 95%CI: 1.26-1.63). The current smoking prevalence of the single was lower than those of married/cohabitants (OR=0.54, 95%CI: 0.37-0.77). The current smoking prevalence of retirees were lower than those of employees (OR=0.46, 95%CI: 0.38-0.57) and smoking prevalence of alcohol drinkers were higher than those of non-drinkers (OR=2.92, 95%CI: 2.67-3.19). Conclusion: From 2007 to 2015, the current smoking prevalence of Shaanxi population was high and the trends remained stable. It is necessary to strengthen smoking control and health education for men, people over 45 years old, people with education level 7 years and above, and working personnel in Shaanxi province.

Trends in the Prevalence of Current, Daily, and Nondaily Cigarette Smoking and Quit Ratios by Depression Status in the U.S.: 2005–2017

Cigarette smoking remains more common among individuals with depression. This study investigates whether cigarette quit ratios and cigarette use prevalence have changed differentially by depression status during the past decade. National Survey on Drug Use and Health data (2005-2017) were analyzed in 2019. Respondents aged ≥12 years were included in analyses of smoking prevalence (n=728,691) and respondents aged ≥26 years were included in analyses of quit ratio (n=131,412). Time trends in smoking prevalence (current, daily, and nondaily) and quit ratio (former/lifetime smokers) were estimated, stratified by past-year depression. Adjusted analyses controlled for demographics. Smoking prevalence was consistently higher among those with depression than those without depression. From 2005 to 2017, nondaily smoking did not significantly change among individuals with depression (9.25% to 9.40%; AOR=0.995, 95% CI=0.986, 1.005), whereas it decreased from 7.02% to 5.85% among those without depression (AOR=0.986, 95% CI=0.981, 0.990). By contrast, daily smoking declined among individuals with (25.21% to 15.11%; AOR=0.953, 95% CI=0.945, 0.962) and without depression (14.94% to 9.76%; AOR=0.970, 95% CI=0.967, 0.973). The quit ratio increased among individuals with (28.61% to 39.75%; AOR=1.036, 95% CI=1.021, 1.052) and without depression (47.65% to 53.09%; AOR=1.013, 95% CI=1.009, 1.017), yet quit ratios were consistently lower for those with depression than those without depression. Quit ratios are increasing and smoking prevalence is decreasing overall, yet disparities by depression status remain significant. Disparities in quit ratio may be one contributing factor to the elevated prevalence of smoking among those with depression. Innovative tobacco control approaches for people with depression appear long overdue.

Perception of smoking habits and related diseases among society

Background: Smoking is practiced by a third of world’s population. Tobacco is leading cause of deaths world over. Six million people (1/8 second) die from tobacco each year. Objective of this study was to study demographic profile and awareness regarding tobacco smoking among people of Rohilkhand, Bareilly.Methods: Randomly selected individuals of Rohilkhand region. Questionnaire method involved.Results: Among 1040 sample size, 70% were males with mean age of 37.68 years. 73.94% population belonged to upper lower socio-economic class. 52% (62.9% male and 26.6% females) were current smokers of which 60.6% were exclusive beedi smokers. 50% were unaware of oral and lung cancer due to smoking. 34% were unaware about effects of passive smoking. 48.48% smokers report cough with expectoration as commonest symptom. 60% finds peer group influential for the behavior. 76.9% smokers are willing to quit smoking. 63.4% are open for counseling. 26% were unaware of ban/law related to smoking in public places. 68% believe there is increasing trend in prevalence of its use, among minors, educational institutes and hospitals.Conclusions: Despite high awareness of ill effects of smoking, there is an increasing trend in prevalence of smoking with an increased involvement of minors attributed to peer pressure. People are unaware of passive smoking and its harmful effect on body. Moreover, advertisements, visuals and captions have failed in making an impact. There occurs a need of awareness programmes, intervention sessions, medical therapy and strict anti-smoking laws by the government, social welfare and healthcare volunteers to help people quit and control the menace in society.

Non-inferiority trial comparing cigarette consumption, adoption rates, acceptability, tolerability, and tobacco harm reduction potential in smokers switching to Heated Tobacco Products or electronic cigarettes: Study protocol for a randomized controlled trial

BackgroundDespite the introduction of tobacco control measures, smoking remains highly prevalent in most EU countries. In Italy, one in four adults were still regular smokers in 2017. Increasing use of combustion-free delivering nicotine technologies for cigarette substitution may accelerate the current downward trends in smoking prevalence. Whether Heated Tobacco Products (HTPs) are more effective tobacco smoking substitutes that may potentially facilitate adoption and full conversion compared to e-cigarettes (ECs) is not known.We have designed a prospective study to compare changes in cigarette consumption and adoption rates among smokers randomized to either HTPs or ECs. Product acceptability, tolerability, and their tobacco harm reduction potential will be also compared. Methods220 healthy smokers, not motivated to quit, will be randomized into a 12-weeks single-center, open label, non-inferiority trial comparing study outcomes from HTPs vs. ECs use. The primary outcome will be biochemically verified self-reported continuous abstinence at 12-weeks from the previous visit. Secondary outcomes will include: smoking reduction from baseline, adoption rates and product acceptability, tolerability, changes in step test values and in the level of selected biomarkers of exposure in exhaled breath (i.e. eCO) and in spot urine samples. A follow-up visit will be also included at 24-weeks to review product usage and smoking behavior under naturalistic condition of use.Recruitment of participants started in May 2019 and enrolment is expected to be completed in November 2019. DiscussionThis will be the first study directly comparing Heated Tobacco Products with Electronic Cigarettes in term of reduction in cigarette consumption, adoption rates, product acceptability, tolerability, and tobacco harm reduction potential. This knowledge can contribute to a better understanding of the potential role of this new technology in the evolving nicotine consumer market. Trial registrationClinicalTrials.gov ID: NCT03569748.Registered June 25, 2018.https://register.clinicaltrials.gov/prs/app/action/LoginUser?ts=1&cx=-jg9qo4.

Changes in the age young Aboriginal and Torres Strait Islander people start smoking, 2002-2015.

To analyse trends in smoking initiation and prevalence among young Aboriginal and Torres Strait Islander people (Indigenous people) to identify which stages of adolescence and young adulthood prevention activities should target. Secondary analysis of 'daily smoking' and 'never smoked' responses from Indigenous people aged 15 years and older in five national Indigenous surveys from 2002 to 2014-15, and of initiation age among those aged 18 years and older in 2004-05 and 2012-13. Smoking prevalence among 15-24-year-olds declined significantly between 2002 and 2014-15, falling 14 percentage points (95%percnt; confidence interval [CI] 8, 21) from 45%percnt; to 31%percnt;. The greatest decline was among 18-19-year-olds, with a decrease of 17 percentage points (95% CI 4, 29) from 48%percnt; to 31%percnt;. The proportion of 15-24-year-olds who had never smoked increased significantly, by 12 percentage points (95%percnt; CI 6, 18) from 44%percnt; in 2002 to 56%percnt; in 2014-15. Between 2004-05 and 2012-13, the proportion of 18-24-year-old smokers who had started daily smoking before the age of 18 years declined significantly, down 8 percentage points (95%percnt; CI 2, 15) from 84%percnt; to 76%percnt;. In 2012-13, 24%percnt; of smokers aged 18-24 years started daily smoking after age 18, half (49%percnt;) started between 15 and 18 years, and around a quarter started before age 15. There have been significant declines in smoking prevalence among young Indigenous people between 2002 and 2014-15 as fewer take up smoking. Smoking initiation occurs over a wide age range. The majority of daily smokers started before the age of 18; however, initiation may be delayed until early adulthood for an increasing number. The challenge for tobacco prevention is to reach young people in early adolescence and continue to reinforce smoke-free intentions into young adulthood.