Implementation Of Tobacco Control Measures Research Articles

Tobacco smoking negatively influences the achievement of greater than three-quarters reduction in psoriasis area and severity index after eight weeks of treatment among patients with psoriasis: Findings from a prospective study.

Smoking is an independent and modifiable risk factor for the onset and development of psoriasis; however, evidence on the association between tobacco smoking and psoriasis treatment efficacy is limited. This study aimed to explore the influence of smoking on treatment efficacy in a cohort of patients with psoriasis in Shanghai, China. Patients with psoriasis were recruited from the Shanghai Skin Disease Hospital between 2021 and 2022. The treatment for patients with psoriasis includes acitretin, methotrexate, narrow-band ultraviolet/benvitimod, and biologics. Data were collected using a structured questionnaire, physical examination, and disease severity estimation at baseline, week four, and week eight. The achievement of a ≥75% reduction in psoriasis area and severity index (PASI75) score from baseline to week 8 was set as the primary outcome for treatment efficacy estimation. Data were analyzed using SAS 9.4. A total of 560 patients with psoriasis were enrolled in this study, who were predominantly males (72.9%). The average age of patients was 48.4 years, and 38.8% of them were current smokers, 5.0% of them were former smokers. The median score of PASI among patients changed from 11.1 (interquartile range, IQR: 7.9-16.6) at baseline to 6.2 at week 4 and 3.1 at week 8, and 13.8% and 47.3% of patients with psoriasis achieved PASI75 at weeks 4 and 8, respectively. Logistic regression indicated that patients without tobacco smoking had a higher proportion of PASI75 achievement at week 8. The adjusted odds ratio (AOR) was 11.43 (95% CI: 6.91-18.89), 14.14 (95% CI: 8.27-24.20), and 3.05 (95% CI: 1.20-7.76) for non-smokers compared with smokers, current smokers, and former smokers, respectively. Moreover, former smokers had higher PASI75 achievement than current smokers (AOR=3.37), and patients with younger smoking initiation age, longer smoking duration, and higher smoking intensity had lower PASI75 achievement. Tobacco smoking was negatively associated with PASI75 achievement both in current and former smokers, and former smokers had higher PASI75 achievement than current smokers. The implementation of tobacco control measures is beneficial for improving treatment responses.

Tobacco use among in-school young adolescents in Indonesia: Exploring availability, affordability, and accessibility.

The research on Indonesian adolescents' perception of tobacco control in schools is limited. This study aimed to explore the availability, affordability, and accessibility of tobacco among young adolescents in Yogyakarta Municipality, Indonesia, with a focus on advocating for school teenagers. Focus groups, comprising participants from diverse backgrounds and stakeholders, were conducted in Yogyakarta, Indonesia, to systematically collect varied data. The subsequent analysis employed a robust thematic approach, combining both inductive and deductive processes to ensure a nuanced exploration of emerging patterns and pre-existing frameworks. In addition to focus group data, the study incorporated insights from extensive field observations and research group discussions. The multifaceted approach enhanced the depth of analysis but also facilitated a comprehensive understanding of the complex dynamics. The findings of this study revealed that young adolescents found it extremely easy to purchase cigarettes from local markets. The smoking prevalence among young adolescents was relatively low, with only 10% of the respondents admitting to smoking. Although the Indonesian government has increased surveillance and regulations regarding smoking among young individuals, the actual implementation and effectiveness of these measures remain questionable. The existing anti-smoking approaches in Indonesia have been unsuccessful in curbing smoking among Indonesian school students. The study argues that it is crucial to recognize and value students' perceptions of smoking, as their knowledge of smoking is actively constructed. To address this issue, future anti-smoking education in schools should incorporate interactive sessions rather than solely relying on didactic approaches that highlight the harms of smoking. By engaging students in interactive discussions, they can actively participate in constructing their understanding of the consequences of smoking. Additionally, efforts should be made to enhance the implementation of tobacco control measures within schools and extend the reach of these measures to off-campus environments.

Association between tobacco control policies and smoking behaviour in Europe

Abstract Background Smoking is an important public health problem. The European Health Interview Survey (EHIS) provides regular data on prevalence and determinants of smoking for the populations of European countries, while the Tobacco Control Scale (TCS) quantifies the implementation of tobacco control measures. The aim is to examine the associations between tobacco control policies at country level and individual-level smoking prevalence. Methods Using multi-level regression modelling, individual data from EHIS 2019/2020 and country-level data from TCS 2019 were analysed. The outcome measure was self-reported current smoking (daily or occasional) at the individual level. Predictor variables were at the individual level: gender, age and education attainment level, and at country level: scores of TCS policy components ‘Price', ‘Public place bans', ‘Advertising bans', ‘Health warnings', ‘Treatment’ and ‘Illicit trade'. Microdata from the 3rd wave of EHIS for 28 European countries were used with a total of n = 66.934 individuals aged >15 years. A weighting factor was applied to consider each country proportionally according to its sample size in EHIS. Results There are large cross-national differences in current smoking prevalence ranged from 12.6% (95% confidence interval (CI) 11.9-13.3) in Sweden to 36.2% (95% CI 35.0-37.4) in Bulgaria. In the final multi-level model besides individual variables (female gender, age 60 years and over, medium or high education level), following variables at country level were significantly associated with lower prevalence of current smoking: ‘Price’ (Odds Ratio (OR)=0.96 (p < 0.05) and ‘Treatment’ OR = 0.88; (p < 0.01). For ‘Public place bans', ‘Advertising bans', ‘Health warnings’ and and ‘Illicit trade’ association were in same direction but without significance. Conclusions Tobacco control policies help to reduce the prevalence of smoking in population, although the different measures have differing impact. Key messages • Our study confirms the link between the implementation of tobacco control policies and smoking prevalence using recent data. • Policy components have different effects on smoking prevalence at population level.

Health, economic and social burden of tobacco in Latin America and the expected gains of fully implementing taxes, plain packaging, advertising bans and smoke-free environments control measures: a modelling study

ObjectiveTo investigate the tobacco-attributable burden on disease, medical costs, productivity losses and informal caregiving; and to estimate the health and economic gains that can be achieved if the main tobacco...

Evolution of smoking rates among immigrants in France in the context of comprehensive tobacco control measures, and a decrease in the overall prevalence

BackgroundThe evolution of smoking rates according to migrant status has not been examined in France, despite a recent reduction in overall smoking rates.MethodsDePICT is a two waves (2016: n = 4356; 2017: n = 4114) nationwide telephone survey, representative of the French adult population. We compared smoking-related behaviors before and after implementation of tobacco-control measures (2017), according to the geographical region of birth.ResultsCompared to 2016, individuals originating from Africa or the Middle East had a slightly higher smoking prevalence in 2017 (34.7% vs 31.3%), despite a higher intention to quit or attempt in the preceding year (adjusted OR(ORa) = 2.72[1.90; 3.90]) compared to non-immigrants. They were also less likely to experience an unsuccessful quit attempt (ORa = 1.76[1.18; 2.62]).ConclusionTobacco-control measures could have widened smoking inequalities related to migrant status. The evolution of smoking-related behaviors among immigrants should be examined when studying the long-term effects of such policies.

Economic cost of cigarette smoking in Bosnia and Herzegovina

BackgroundCigarette use is one of the major risk factors for non-communicable diseases in Bosnia and Herzegovina, with 41.1% of adults being current smokers in 2019 and almost half of current...

The estimated influence of assumed physicians' advice for tobacco smoking cessation among current smokers in Shanghai, China: A cross-sectional study.

INTRODUCTIONEvidence indicates that physicians’ smoking cessation advice is significant for tobacco control, which is an impetus to encourage smoking cessation among smokers, but the estimated influence of physicians’ smoking cessation advice on smokers’ intention to quit is limited in Shanghai, China.METHODSWe enrolled 1104 participants who were current smokers in the SJ (Songjiang) and FX (Fengxian) districts in Shanghai in 2021. An electronic questionnaire was used to collect data and SAS 9.4 was used for data analysis. Univariate and multivariate logistic regression was used to calculate odds ratios (ORs) with 95% confidence intervals (CIs) to estimate the influence of the assumed physicians’ advice for smoking cessation on current smokers’ smoking cessation plan.RESULTSA total of 1104 participants provided information of which 914 were male smokers (82.8%) and 190 (17.2%) were female smokers. Multivariate logistic regression demonstrated that female smokers (OR=2.47; 95% CI: 1.66–3.68), smokers with at least 1 type of non-communicable disease (OR=2.09; 95% CI: 1.42–3.07), smoking intensity <20 cigarettes/day (OR=1.64; 95% CI: 1.22–2.17), with personal tobacco burden less than 20% (OR=1.52; 95% CI: 1.10–2.13), exposed to secondhand smoke (OR=1.99; 95% CI:1.44–2.76), and previous smoking cessation attempt (OR=4.43; 95% CI: 3.23–6.08), were more likely to report an intent to quit smoking. Moreover, approximately 50% of participants without a plan to quit in a year had also reported their intention to quit smoking with the presumption that the physicians would advise them to quit, irrespective of their sex, age, NCD status and secondhand tobacco smoke exposure.CONCLUSIONSPhysicians’ cessation advice could promote smokers to consider stopping smoking. The reported cessation intention was higher among female smokers, and smokers with NCD, lower smoking intensity and burden, with smoking cessation attempts, all of which could be incorporated into the implementation of tobacco control measures in the future in Shanghai.

E-cigarette use and conventional cigarette smoking among European students: findings from the 2019 ESPAD survey.

Representative data on e-cigarette use among European adolescents are scant. This study reports current vaping and tobacco smoking individual and country-specific correlates among European students. Cross-sectional survey: 2019 European School Survey Project on Alcohol and Other Drugs (ESPAD) collecting data on risk behaviours on a representative sample of 16-year-old students. A total of 35 European countries, 25-30 with Tobacco Control Scale (TCS) and TCS components PARTICIPANTS: A total of 99 648 students (49.1% males) turning 16 years in the survey year. Data on current cigarette and e-cigarette use were gathered through a self-administered questionnaire which also collected socio-demographics and individual and family characteristics. ESPAD data were integrated with country-level data on TCS and selected TCS parameters to assess their association with the prevalence of current cigarette and e-cigarette use. Of the 99 648 participating students, 12.4% were current e-cigarette users, from 5.5% in Serbia to 41.4% in Monaco; 19.3% current smokers, from 5.1% in Iceland to 32.4% in Italy. Compared with non-users, current e-cigarette users less frequently came from an average well-off family [odds ratio (OR) =0.85, 95% confidence interval (CI) =0.80-0.90] and lived in countries with higher cigarette prices (OR =0.71, 95% CI =0.50-0.99), restrictive measures on tobacco advertising and promotion (OR =0.79, 95% CI =0.63-0.99) and intermediate implementation of tobacco control measures (OR =0.57, 95% CI =0.38-0.85). Current vapers were more frequently life ever smokers (OR =7.31, 95% CI =6.47-8.25), were early smokers (OR =4.35, 95% CI =3.66-5.17), males (OR =1.61, 95% CI =1.55-1.67), from non-traditional families (OR =1.43, 95% CI =1.34-1.53), with relatively low parental education (OR =1.15, 95% CI =1.10-1.20). Compared with non-smokers, current smokers had similar family characteristics to vapers, and were less likely to live in countries with higher cigarette prices (OR =0.70, 95% CI =0.49-0.99) and higher spending on public anti-tobacco media campaigns (OR =0.23, 95% CI =0.10-0.50). E-cigarette use among European adolescents is associated with weaker tobacco control measures, particularly on tobacco price, advertising and promotion. Besides preventing tobacco smoking, the adoption of governmental tobacco control policies in European countries also seems to contribute to the prevention of vaping among adolescents.

Association of tobacco control measures with the intention to quit tobacco consumption: a cross-sectional study from India

More than 7 million cancer-related deaths worldwide are associated with tobacco, of which India is the second largest producer and consumer. The current study tests a model based on the hypothesis that poor implementation of tobacco control measures and poor basic education affect the frequency and duration of tobacco use, creating substantial nicotine dependency and thereby preventing smokers from quitting tobacco consumption. Data from six randomly selected states in India was collected via face-to-face interviews for this cross-sectional study. Participants were interviewed with a questionnaire tested for its face and content validity and asked about their exposure to tobacco control policies by acknowledging potential violations of the existing laws. The model included two exogenous (MPOWER-based tobacco control measures and level of education) and four endogenous (tobacco dependency, duration, and frequency of smoking, and intention to quit smoking) variables. Structural equation modelling was done using RStudio (version 3.6.3) to test the model fit and to explore the association. 1962 participants were interviewed. Tambakoo was the most common type of tobacco used (by 1132 [57·7%] of 1962 interviewees). 857 (43·7%) of respondents reported to want to quit tobacco immediately. Many reported that tobacco was sold by a certified company, was taxed, and noted that the tax was high. However, 1352 (68·9%) said that minors (ie, individuals younger than 18 years) could buy tobacco illegally. Application of tobacco control measures directly affected the intention to quit (standardised path coefficient value [B]=0·181; p<0·0001), and this effect was partly mediated by frequency of tobacco consumption (B=0·06; p=0·041). Better education was associated with a higher intention to quit tobacco (B=0·122; p<0·0001). Responders from rural areas reported a lower intention to quit in comparison with respondents from urban and semi-urban areas. Neither duration nor dependency mediated an effect on the intention to quit. These findings suggest that implementation of tobacco control measures and better education positively affects the intention to quit tobacco. Although India is moving towards universal health coverage, tobacco users with lower educational attainment and those from rural areas are less likely to avail themselves of health-care opportunities. These individuals might also have lower financial and psychological support, which in turn can prevent them from making healthy life choices, including quitting tobacco. The current study presents a validated model and the information is gathered directly from tobacco users to provide a ground-level observation of implemented policies. However, because of the cross-sectional design, no cause and effect relationship between various factors and intention to quit tobacco can be assumed. This study relied on perceived responses and the data collected might be affected by recall bias and social desirability. None.

Poor implementation of tobacco control measures and lack of education influences the intention to quit tobacco: a structural equation modelling approach

BackgroundTobacco consumption remains a public health issue and is one of the major causes of death in India. This study presents a validated conceptual model to assess the interaction between education, perceived application of tobacco control measures, type of tobacco and their effects on the intention to quit tobacco. Additionally, the direct and mediating roles of tobacco use -frequency, -duration, and -dependency on the intention to quit is also investigated.MethodsAn analytical cross-sectional study was carried out, and data from tobacco users of six randomly selected states in India was collected via face-to-face interviews. Structural equation modeling (SEM) was performed using R v 3.6.3 to test the model fit and to explore the association between tobacco control measures and the intention to quit tobacco.ResultsFrom 1962 tobacco users, 43.7% wanted to quit tobacco immediately. Tambakoo (57.7%) was the most common type of tobacco used and 68.9% said that minors could buy tobacco. Findings from SEM showed that that one standard deviation (SD) increase in the perceived application of tobacco control measures is directly associated with a 0.181 SD increase in the intention to quit tobacco (B = 0.181, P < 0.001), and this effect was partially mediated by frequency of tobacco consumption (B = 0.06, P < 0.05). Also, a better education level was associated with a higher intention to quit tobacco (B = 0.14, P < 0.001).ConclusionsTo conclude, the application of tobacco control measures and a better education level may positively affect the intention to quit tobacco. The frequency of tobacco use and the number of influencers play an essential role in deciding to quit. In future, longitudinal studies are recommended to further substantiate the evidence.

Trends in Prevalence of Tobacco Use by Sex and Socioeconomic Status in 22 Sub-Saharan African Countries, 2003-2019

Tobacco companies have shifted their marketing and production to sub-Saharan African countries, which are in an early stage of the tobacco epidemic. To estimate changes in the prevalence of current tobacco use and socioeconomic inequalities among male and female participants from 22 sub-Saharan African countries from 2003 to 2019. Secondary data analyses were conducted of sequential Demographic and Health Surveys in 22 sub-Saharan African countries including male and female participants aged 15 to 49 years. The baseline surveys (2003-2011) and the most recent surveys (2011-2019) were pooled. Household wealth index and highest educational level were the markers of inequality. Sex-specific absolute and relative changes in age-standardized prevalence of current tobacco use in each country and absolute and relative measures of inequality using pooled data. The survey samples included 428 197 individuals (303 232 female participants [70.8%]; mean [SD] age, 28.6 [9.8] years) in the baseline surveys and 493 032 participants (348 490 female participants [70.7%]; mean [SD] age, 28.5 [9.4] years) in the most recent surveys. Both sexes were educated up to primary (35.7%) or secondary school (40.0%). The prevalence of current tobacco use among male participants ranged from 6.1% (95% CI, 5.2%-6.9%) in Ghana to 38.3% (95% CI, 35.8%-40.8%) in Lesotho in the baseline surveys and from 4.5% (95% CI, 3.7%-5.3%) in Ghana to 46.0% (95% CI, 43.2%-48.9%) in Lesotho during the most recent surveys. The decrease in prevalence ranged from 1.5% (Ghana) to 9.6% (Sierra Leone). The World Health Organization target of a 30% decrease in smoking was achieved among male participants in 8 countries: Rwanda, Nigeria, Ethiopia, Benin, Liberia, Tanzania, Burundi, and Cameroon. For female participants, the number of countries having a prevalence of smoking less than 1% increased from 9 in baseline surveys to 16 in the most recent surveys. The World Health Organization target of a 30% decrease in smoking was achieved among female participants in 15 countries: Cameroon, Namibia, Mozambique, Mali, Liberia, Nigeria, Burundi, Tanzania, Malawi, Kenya, Rwanda, Zimbabwe, Ethiopia, Burkina Faso, and Zambia. For both sexes, the prevalence of tobacco use and the decrease in prevalence of tobacco use were higher among less-educated individuals and individuals with low income. In both groups, the magnitude of inequalities consistently decreased, and its direction remained the same. Absolute inequalities were 3-fold higher among male participants, while relative inequalities were nearly 2-fold higher among female participants. Contrary to a projected increase, tobacco use decreased in most sub-Saharan African countries. Persisting socioeconomic inequalities warrant the stricter implementation of tobacco control measures to reach less-educated individuals and individuals with low income.

The Estimated Effect of Physicians' Advice for Smoking Cessation and Assumed Tobacco Retail Price Increase on Smoker's Intention to Quit in Shanghai, China: A Cross-Sectional Study.

Background: Tobacco consumption produces a heavy disease burden worldwide, and tobacco price increase, an advertisement for tobacco-induced harm, graphic warning labels on cigarette packages and advice of physicians for quitting are policies that have been proved as effective smoking cessation measures. But evidence on the estimated effect of advice of physicians for quitting and assumed tobacco retail price increase on smoking cessation intention among smokers is still limited in China.Methods: From January to April of 2021, we recruited 664 current smokers in Songjiang district of Shanghai by a multistage sampling design. We implemented a logistic regression analysis to calculate the odds ratio (OR) and 95% confidence interval (CI) to explore how smoking cessation intention would be influenced by the assumed tobacco retail price increase as well as advice of physicians for quitting, and used the paired tabulation method to identify the salient tobacco control measures among smokers as well.Results: A total of 664 current smokers included 548 males (82.53%), with an average smoking duration of 22.50 years (SD: 11.52 years). About 68.79 and 43.67% of current smokers reported smoking cessation intention due to advice of physicians for quitting and the assumed tobacco retail price increase, respectively. Logistic regression analysis indicated that female smokers (OR = 2.85 and 4.55), smokers with previous smoking cessation attempt (OR = 3.71 and 3.07), longer smoking duration (OR = 2.26 and 2.68), lower smoking intensity (OR = 1.82 and 1.69), and heavier tobacco burdens (OR = 1.67 and 2.22) had the higher intention of smoking cessation both due to advice of physicians for quitting and due to assumed tobacco price increase, respectively. Meanwhile, the advice of physicians for quitting was more effective and acceptable (over 80%) than the assumed tobacco price increase for inducing smokers to consider quitting in Shanghai.Conclusions: Smokers have a high intention of smoking cessation in Shanghai, and the advice of physicians for quitting is a potentially more salient tobacco control measure than the assumed tobacco retail price increase. Incorporating smoking duration, intensity, personal burden as well as noncommunicable disease (NCD) status of smokers into the implementation of tobacco control measures is beneficial for descending smoking prevalence.

1392Decline in current tobacco use and socio-economic inequalities in 22 Sub-Saharan African countries- 2003-2018

Abstract Background Tobacco companies have shifted their marketing and production to Sub-Saharan African countries which are in an early stage of tobacco epidemic. We report changes in current tobacco use and socio-economic inequalities between 2003 and 2019. Methods We estimated country-level, sex-wise, age-standardized prevalence estimates of current tobacco use in 22 SSA countries using sequential Demographic and Health Survey data. On pooled baseline (2003-11) and most recent survey (2011-19) data, prevalence by education, wealth, and age groups; Slope index of inequality and relative index of inequality were estimated. Change in prevalence in each country and by socio-economic subgroups and change in socio-economic inequalities (pooled data) were calculated. Results Tobacco use among men ranging [6·1% (Ghana) to 38·3 (Lesotho)] at baseline and [4·5% (Ghana) to 46·0% (Lesotho)] most recent surveys. Decline in prevalence points ranged from 1·5% (Ghana) to 9·6% (Sierra Leone). For women countries where prevalence was &amp;lt;1% rose from nine to 15. In most countries prevalence of current tobacco use significantly declined. WHO target of 30% decline was achieved in 15 and 10 countries for women and men, respectively. In both sexes, tobacco use rate and decline were higher among less educated and poor while magnitude and direction of inequalities were consistently declined. Absolute inequalities three-fold higher among men, while relative inequalities were nearly twice higher among women. Conclusions Tobacco use declined in a third of SSA countries. Persistence of socio-economic inequalities warrants stricter implementation of tobacco control measures to reach the vulnerable groups and continued monitoring of inequalities. Key messages Contrary to the projections, tobacco use had significantly declined in most of the countries, and many achieved the WHO target of 30% reduction. Country-level monitoring by regular surveys is needed to track the equitable progress to international goals.

Implementation of tobacco control measures in the Gulf Cooperation Council countries, 2008\u20132020

BackgroundThe World Health Organization (WHO) Framework Convention on Tobacco Control (FCTC) was developed to assist nations in reducing the demand and supply of tobacco. As of 2020, 182 nations joined the FCTC, agreeing to implement the recommended tobacco control measures. The Gulf Cooperation Council (GCC) countries, including Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and United Arab Emirates (UAE) ratified the WHO FCTC by August 2006. Given the unique political, cultural, and religious context – and known tobacco industry efforts to influence tobacco use- in these nations, a careful examination of the translation of FCTC measures into policy is needed. This study aimed to assess the implementation of FCTC tobacco control measures at the national level within the six GCC countries.MethodWe collected and coded the FCTC measures that were implemented in the GCC countries. We examined trends and variations of the implementation between 2008 and 2020.ResultsGCC countries implemented most FCTC measures targeting the demand for and supply of tobacco, with some variation among countries. Bahrain and Qatar were more comprehensively implementing FCTC measures while Kuwait and Oman implemented the least number of the FCTC measures. Implementing measures related to tobacco prices and eliminating the illicit tobacco trade has slowly progressed in GCC countries. All GCC countries entirely banned smoking in workplaces while three countries implemented a partial ban in restaurants. Only Oman has restrictions on tobacco ads shown in media. There is progress in implementing FCTC measures related to tobacco packaging, cessation, and sale to minors in most GCC countries.ConclusionsGiven the influence of the tobacco industry in the Gulf region, the findings suggest a need for ongoing surveillance to monitor the proliferation of tobacco control measures and evaluate their effectiveness. Efforts required to address tobacco use should correspond to the unique political and cultural background of the GCC countries.

Decline in Current Tobacco Use and Socio-Economic Inequalities in 22 Sub-Saharan African Countries Between 2003 and 2018

Background: Tobacco companies have shifted their marketing and production to Sub-Saharan African countries which are in an early stage of tobacco epidemic. We report changes in current tobacco use and socio-economic inequalities between 2003 and 2019. Methods: We estimated country-level, sex-wise, age-standardised prevalence estimates of current tobacco use in 22 SSA countries using sequential Demographic and Health Survey data. On pooled baseline (2003-11) and most recent survey (2011-19) data, prevalence by education, wealth, and age groups; Slope index of inequality and relative index of inequality were estimated. Change in prevalence in each country and by socio-economic subgroups and change in socio-economic inequalities (pooled data) were calculated. Findings: Tobacco use among men ranging [6·1% (Ghana) to 38·3 (Lesotho)] at baseline and [4·5% (Ghana) to 46·0% (Lesotho)] most recent surveys. Decline in prevalence points ranged from 1·5% (Ghana) to 9·6% (Sierra Leone). For women countries where prevalence was <1% rose from nine to 15. In most countries prevalence of current tobacco use significantly declined. WHO target of 30% decline was achieved in 15 and 10 countries for women and men, respectively. In both sexes, tobacco use rate and decline were higher among less educated and poor while magnitude and direction of inequalities were consistently declined. Absolute inequalities three-fold higher among men, while relative inequalities were nearly twice higher among women. Interpretation: Tobacco use declined in a third of SSA countries. Persistence of socio-economic inequalities warrants stricter implementation of tobacco control measures to reach the vulnerable groups and continued monitoring of inequalities. Funding Statement: Authors did not receive any funding for this research. Declaration of Interests: Both authors have nothing to declare. Ethics Approval Statement: DHS survey protocols undergo ethical review in the United States with ICF’s (Inner City Fund) institutional review board. In each country, institutional review boards of the implementing agency approved the DHS survey. Permissions were sought from the governmental agencies in each country. Each eligible participant was explained about the survey procedures and verbal consent was sought before the interview.

Pattern of Tobacco consumption among urban slum population in Jammu region: A cross-sectional study.

Introduction:Consumption of tobacco leads to a myriad of ill effects among the smokers as well as those in their proximity. The study related to tobacco consumption was conducted among individuals over 15 years of age, residing in urban slums.Objective:To assess the pattern of tobacco consumption in urban slum population, using WHO standardized questionnaire which is Global Tobacco Surveillance System (GTSS); questions related to tobacco from the surveys, which are the subset of GATS 2nd Edition key questions.Materials and Methods:The present study was observational cross-sectional in nature which was conducted over a period of 6 months i.e., from September 2019 to February 2020 in urban slums of Trikuta Nagar, urban health training centre which is a field practice area of Postgraduate Department of Community Medicine, GMC Jammu. The information about the tobacco consumption was gathered by interview sessions after taking consent from all the participants. Totally, 718 individuals were met, out of which, 539 were over 15 years of age and 510 agreed to participate in the study.Results:36% (maximum) belonged to 36-45 year age group and lowest (3%) among individuals >66 years. 48% prevalence of active smoking; maximum indulgence (53%) observed in 36-55 year group. Highest exposure to passive smoking seen in 56-65 year group (75%). 45% prevalence of smokeless tobacco consumption, highest in 56-65 year group (72%), lowest in 15-25 year age group (17%).Conclusion:Regular conducting of IEC activities for generating awareness with the strict implementation of tobacco control measures by the government needs to be carried out as urban slum population is a vulnerable group and most susceptible to the vicious cycle of disease and poverty.

Decrease in cross-border tobacco purchases despite intensification of antitobacco policies in France

BackgroundRecently, France has intensified tobacco control policies which included gradual increase in tobacco product price and the introduction of plain packaging. However, there has been suggestion that cross-border tobacco purchases...

Impact of the WHO FCTC on tobacco control: perspectives from stakeholders in 12 countries

BackgroundThe WHO Framework Convention on Tobacco Control (WHO FCTC), the first WHO treaty, entered into force in 2005. In April 2015, a seven-member independent expert group (EG) was established by...

Socio-demographic inequalities in cigarette smoking in Indonesia, 2007 to 2014

The prevalence of smoking in Indonesia is one of the highest in the world. Since 2007, some tobacco control policies have been implemented by the Indonesian government. However, evidence on the effectiveness of such policies at reducing tobacco use in Indonesia is scarcely available. Using both cross-sectional and longitudinal analysis of individual and household data from two waves of the Indonesia Family Life Survey (IFLS), this study explored changes in smoking patterns among Indonesian adults between 2007 and 2014 controlling for sociodemographic factors. Overall, there was no statistically significant change in the prevalence of smoking between 2007 and 2014. However, cigarettes became more affordable. Smokers in 2014 consumed more cigarettes (β: 0.95; 0.73, 1.17) and spent more money on cigarettes (β: IDR 2775; IDR 1124, IDR 4426) compared to those in 2007. Males, individuals <55 years old and those with lower levels of education had a higher likelihood of being smokers in 2014. Respondents with lower education levels and those under 26 years of age had higher odds of initiating smoking during the study period. Similarly, smoking cessation between 2007 and 2014 was more likely among respondents with higher levels of education and aged above 40 years. In conclusion, the implementation of tobacco control measures does not appear to have had a positive impact on smoking behaviours among adults in Indonesia between 2007 and 2014. Instead, cigarette consumption increased differentially across socio-demographic groups. Hence, tailored tobacco control interventions targeting the most socially disadvantaged population may be necessary in Indonesia.

Impact assessment of the WHO FCTC over its first decade: methodology of the expert group

BackgroundAt its sixth meeting (Moscow, November 2014), the Conference of the Parties (COP) adopted decision FCTC/COP6(13) that called for an impact assessment to ‘examine the impact of the WHO Framework...