Reasons to decrease or stop nicotine and tobacco use among adults and association with MPOWER scores in twenty-one middle- and high-income countries, 2019-2020.

INTRODUCTION: This study examined reasons why people planned to reduce or stop tobacco consumption and their relationship with MPOWER scores, adjusting for sociodemographic, cultural, and economic factors. METHODS: Data used were Euromonitor International's Voice of the Consumer: Nicotine Survey 2019-2020, World Bank's country income and WHO's MPOWER policy scores. Analytical sample included 21913 adults of legal smoking age in 21 middle- and high-income countries who used nicotine and tobacco products and planned to reduce or stop their consumption in the next 12 months. Poisson regression models with robust error variance, adjusted for sociodemographic and tobacco use covariables, generated adjusted risk ratios (ARRs) of selecting a certain reason to reduce tobacco consumption dependent on continuous MPOWER scores. RESULTS: Main reasons to reduce or stop tobacco consumption were improving health (85%), saving money (65%), pressure from family (19%), and using another substance instead (4%). Country variation was observed by MPOWER scores. Positive associations were found between some MPOWER scores and reasons to reduce or stop tobacco consumption: enforcing bans on tobacco advertising and using another substance (ARR=1.28; 95% CI: 1.11-1.47); warning about dangers of tobacco and saving money (ARR=1.25; 95% CI: 1.19-1.32); offering help to quit tobacco and using another substance (ARR=1.26; 95% CI: 1.10-1.45) or family pressure (ARR=1.11; 95% CI: 1.04-1.17); anti-tobacco campaigns and using another substance (ARR=1.15; 95% CI: 1.08-1.23); and raising taxes and saving money (ARR=1.11; 95% CI: 1.09-1.13). CONCLUSIONS: MPOWER scores are associated with reported reasons to quit tobacco including to improve health, save money, respond to family pressure or use another substance instead.

Changes in prevalence and predictors of tobacco smoking and interest in smoking cessation in Turkey: Evidence from the Global Adult Tobacco Survey, 2008-2016.

INTRODUCTION: Turkey conducted three rounds of the Global Adult Tobacco Survey (GATS) in 2008, 2012, and 2016 to monitor tobacco use and key tobacco control indicators. The prevalence estimate of adult tobacco use was 31.2% in 2008 and it declined to 27.1% in 2012. METHODS: GATS is a nationally-representative, cross-sectional household survey of tobacco-use and related behaviors among adults aged ≥15 years. Outcome measures were prevalence of current tobacco smoking and interest in quitting smoking. Multivariable logistic regression analyses assessed changes in the adjusted prevalence and predictors of the outcome variables. RESULTS: The unadjusted prevalence of tobacco smoking among adults was 31.6% in 2016; a significant increase in the adjusted prevalence of 4.5% from 2012 to 2016. A significant 19.4% decline was observed in interest in quitting smoking from 2012 to 2016. Tobacco smoking was lower among women (adjusted prevalence ratio, APR=0.38) and rural residents (APR=0.79), and higher among adults aged 25-64 years compared to those aged 15-24 years (APR=1.63), and those who lived with other adults who smoke tobacco (APR=1.55). Predictors of increased interest in quitting smoking included rural residence (APR=1.13), higher education level (APR=1.21-1.36), awareness of anti-tobacco warnings and advertisements (APR=1.30), and belief that smoking causes severe health consequences (APR=1.57). CONCLUSIONS: This study identified opportunities to reduce tobacco smoking and increase interest in quitting, including increasing awareness of the health consequences of smoking and of evidence-based cessation resources. This study highlights Turkey's commitment to assessing or monitoring tobacco use and key tobacco indicators to inform their policies and programs in a changing tobacco landscape.

Electronic cigarette use among adults in 14 countries: A cross-sectional study.

Background: The tobacco product landscape continues to change. No recent data for electronic cigarette (e-cigarette) use have been reported for multiple countries based on nationally representative surveys. We examined prevalence of e-cigarette use and variations by sociodemographic characteristics in 14 countries using Global Adult Tobacco Survey (GATS) data between Jan 1, 2015, and Dec 31, 2018. Methods: GATS is a nationally representative household survey of tobacco use among adults aged ≥15 years. The analytic sample size ranged from 4347 in Senegal to 74,037 in India. Prevalence of current e-cigarette use was stratified by sociodemographic subgroups. Age-standardized prevalence was estimated according to world 2000-2025 standard population. Significant differences in adjusted prevalence across sociodemographic subgroup was determined by p value for marginal effect contrast in multivariable logistic regression models. Findings: More than 50% of adults in Russia, Romania, and Ukraine and additionally more than 30% of adults in China, Costa Rica, Uruguay, Mexico, and Philippines were aware of e-cigarettes. Crude prevalence of current e-cigarette use ranged from 0.02% (95% CI 0.01%-0.04%) in India to 3.5% (2.9%-4.2%) in Russia. Prevalence was <1% in nine countries. Approximately 18.3 million adults currently used e-cigarettes across the 14 countries. Men had a significantly higher prevalence of current e-cigarette use than women in eight countries. Additionally, higher adjusted prevalence was observed in some countries among young adults aged 15‒24 years, urban residents, and adults with higher education levels and higher wealth index. Interpretation: The study provides needed baseline data on e-cigarette awareness and use. Continued surveillance is essential to inform interventions and policies to prevent initiation and enhance cessation support. Funding: None.

Evaluation of Five Data-to-Action Workshops to Enhance Capacity for Tobacco Control.

BACKGROUND: Five data-to-action workshops were conducted during 2016-2019 with participants from 38 countries. The purpose of the workshops is to use data to inform and disseminate tobacco prevention and control strategies. We evaluated the workshops using the Kirkpatrick Model for evaluation of trainings. METHODS: We evaluated the data-to-action workshops in three topic areas: (1) if the workshop was clear, useful, engaging, and relevant to the participant's work, (2) self-reported knowledge and skills for tobacco control topics, and (3) intention to apply the knowledge learned. We used nonparametric tests (one-sided Wilcoxon signed-rank test) and conducted descriptive analysis to assess the difference between pre- and postworkshop scores in each topic area. Free text data from open-ended responses were analyzed in Excel using thematic content analysis. RESULTS: Participants reported the workshop had a clear purpose (93.6%, n = 73), was well organized (94.9%, n = 74), and relevant to their work (96.2%, n = 76). There was a statistically significant increase in median learning scores across all three knowledge and five skills topic areas (p < 0.05); more than 95% of participants intended to apply the knowledge they obtained during the workshop and planned to perform new skills learned in the workshop. CONCLUSIONS: Programs interested in replicating a similar successful model may incorporate a mix of modes of instruction and hands-on experiences, as well as focus on the selection of the right audience, for their workshops. These workshops pose an opportunity for countries to enhance use and dissemination of their tobacco control data.

Implementation of the Uttarakhand Tobacco Free Initiative in Schools, India, 2016.

PURPOSE AND OBJECTIVES: A process evaluation, the Uttarakhand Tobacco Free Initiative (UTFI), was conducted in 49 public high schools and colleges in the state of Uttarakhand, India, to measure program implementation, provide feedback to school administrators, and identify barriers to tobacco control. INTERVENTION APPROACH: UTFI aims to 1) raise awareness and provide education and tools for teachers and school administrators about the dangers of tobacco use and secondhand smoke, 2) encourage participation in student-led activities to promote tobacco-free initiatives, and 3) enforce tobacco-free school policies in the state of Uttarakhand. EVALUATION METHODS: We used the CDC evaluation framework to document key components and lessons learned from the UTFI. We distributed questionnaires to 71 teachers and principals in December 2016, to assess awareness of school activities and policies related to the initiative. Descriptive statistics were computed for quantitative data, and a thematic content analysis was used for qualitative data. RESULTS: Of the 71 participants, 66 (92.9%) were aware of tobacco use policies in schools, and 63 (88.7%) agreed policies were enforced. Sixty-six participants (93.0%) said that they taught tobacco prevention-related topics, and 41 of 70 respondents (58.6%) reported that a student-led group helped to enforce tobacco-free policies in their schools. Of 69 respondents, almost all (n = 66) reported satisfaction with UTFI implementation. Challenges identified were related to tobacco products being readily accessible near school premises, lack of tobacco prevention materials, and tobacco use by school staff. IMPLICATIONS FOR PUBLIC HEALTH: Successes of UTFI were documented by measuring different components of the process, including implementation of program activities and teacher and principal satisfaction. Results might help enhance key processes for the initiative and highlight some barriers to implementation, such as enforcing tobacco control policy off school premises. Continued efforts are needed to prevent tobacco use among young people.

Tobacco Smoking Cessation and Quitline Use Among Adults Aged ≥15 Years in 31 Countries: Findings From the Global Adult Tobacco Survey.

INTRODUCTION: About 80% of the 1.1 billion people who smoke tobacco worldwide reside in low- and middle-income countries. Evidence-based approaches to promote cessation include brief advice from health professionals and referrals through quitlines. This study assesses cessation behaviors and the use of cessation services in the past 12 months among current tobacco smokers in 31 countries who attempted to quit. METHODS: Data came from the Global Adult Tobacco Survey, a household-based survey of non-institutionalized adults aged ≥15 years. Surveys were conducted in 31 countries during 2008-2018; sample sizes ranged from 4,250 (Malaysia) to 74,037 (India), and response rates ranged from 64.4% (Ukraine) to 98.5% (Qatar). In 2019, data from the 31 countries were assessed in June 2019, and indicators included self-reported current (daily or less than daily) tobacco smoking, past-year quit attempts, and cessation methods used in the past 12 months. RESULTS: Current tobacco smoking prevalence ranged from 3.7% (Ethiopia) to 38.2% (Greece). Overall, an estimated 176.8 million adults from the 31 countries made a quit attempt in the past 12 months, with country-level prevalence ranging from 16.4% (Greece) to 54.7% (Botswana). Most individuals who made a quit attempt did so without assistance (median=74.4%). Other methods were less prevalent, including quitlines (median=0.2%) and counseling (median=7.2%). CONCLUSIONS: In the assessed countries, the majority of those who currently smoked tobacco and made a quit attempt did so without assistance; very few reported using quitlines, partly because of the lack of quitlines in some countries. In resource-limited settings, quitlines can play a greater role in helping people quit smoking as part of a comprehensive approach.

Revisiting the association between worldwide implementation of the MPOWER package and smoking prevalence, 2008-2017.

BACKGROUND: We revisited the association between progress in MPOWER implementation from 2008 to 2016 and smoking prevalence from 2009 to 2017 and offered an in-depth understanding of differential outcomes for various country groups. METHODS: We used data from six rounds of the WHO Reports on the Global Tobacco Epidemic and calculated a composite MPOWER Score for each country in each period. We categorised the countries in four initial conditions based on their tobacco control preparedness measured by MPOWER score in 2008 and smoking burden measured by age-adjusted adult daily smoking prevalence in 2006: (1) High MPOWER - high prevalence (HM-HP). (2) High MPOWER - low prevalence (HM-LP). (3) Low MPOWER - high prevalence (LM-HP). (4) Low MPOWER - low prevalence (LM-LP). We estimated the association of age-adjusted adult daily smoking prevalence with MPOWER Score and cigarette tax rates using two-way fixed-effects panel regression models including both year and country fixed effects. RESULTS: A unit increase of the MPOWER Score was associated with 0.39 and 0.50 percentage points decrease in adult daily smoking prevalence for HM-HP and HM-LP countries, respectively. When tax rate was controlled for separately from MPOWE, an increase in tax rate showed a negative association with daily smoking prevalence for HM-HP and LM-LP countries, while the MPOWE Score showed a negative association for all initial condition country groups except for LM-LP countries. CONCLUSION: A decade after the introduction of the WHO MPOWER package, we observed that the countries with higher initial tobacco control preparedness and higher smoking burden were able to reduce the adult daily smoking prevalence significantly.

Association of tobacco control policies with cigarette smoking among school youth aged 13-15 years in the Philippines, 2000-2015.

INTRODUCTION: In 2003, the Philippines implemented legislation that prohibited the sale of tobacco products to youth, placed text warning labels on tobacco products, and prohibited tobacco smoking in public places. This study assessed if this legislation was associated with reduced cigarette smoking among youth. METHODS: Data came from the 2000-2015 Philippines Global Youth Tobacco Survey (GYTS), a nationally representative, cross-sectional survey of students aged 13-15 years. GYTS data were used to determine associations between tobacco control legislation and current, past 30-day, current cigarette smoking (CCS). Logistic regression models were adjusted for age, sex, current other tobacco product use (COTPU), and price per cigarette stick (PPCS). RESULTS: In the unadjusted model, the 2003 legislation was not associated with CCS (OR=0.77; 95% CI: 0.54-1.10). After adjusting for covariates, it was negatively associated (AOR=0.65; 95% CI: 0.53-0.80). Being 15 years old (OR=1.31; 95% CI: 1.08-1.58), male (OR=2.54; 95% CI: 2.17-2.98), and COTPU (OR=4.12; 95% CI: 3.47-4.91) were positively associated with CCS in unadjusted models. In adjusted models, being 14 years old (AOR=1.29; 95% CI: 1.08-1.53), 15 years old (AOR=1.55; 95% CI: 1.31-1.84), male (AOR=2.49; 95% CI: 2.13-2.91), and COTPU (AOR=3.96; 95% CI: 3.32-4.73), were associated with CCS. PPCS was not associated with CCS in either the unadjusted (OR=1.32; 95% CI: 0.82-2.11) or adjusted (AOR=1.32; 95% CI: 0.79-2.18) models. CONCLUSIONS: After adjusting for covariates, the 2003 tobacco control legislation was associated with lower current cigarette smoking, but price per cigarette stick was not.

Intimate Partner Violence around the Time of Pregnancy and Postpartum Contraceptive Use.

OBJECTIVES: We sought to examine postpartum contraceptive use among women who reported physical intimate partner violence (IPV) during or within 12 months before pregnancy compared with women who did not report physical IPV and to identify factors associated with nonuse of contraception among women who reported physical IPV. METHODS: Data were obtained from women with a recent live birth from 2012 to 2015 who participated in the Pregnancy Risk Assessment and Monitoring System. We described characteristics of women and postpartum contraceptive use by method effectiveness (most effective [female sterilization, male sterilization, intrauterine device, implant], moderately effective [injectable, pill, patch, ring], less effective [condoms, natural family planning, withdrawal, other]) or no method, stratified by reported physical IPV. Multivariable logistic regression was used to examine characteristics associated with nonuse of contraception among women who reported physical IPV. RESULTS: The proportion of women using most or moderately effective contraception was similar for women reporting and not reporting physical IPV. Less effective contraceptive use was lower among women who reported physical IPV (13.9%) than those who did not report physical IPV (25.1%) (p < .001). Nonuse was higher among women who reported physical IPV (33%) than those who did not report physical IPV (21%) (p < .001). Having no health insurance at the time of survey and experiencing traumatic stress within 12 months before delivery were associated with nonuse of contraception among women who reported physical IPV. CONCLUSIONS: The higher proportion of contraception nonuse among women who reported physical IPV indicates a potential unmet need for contraception among this vulnerable population. Recommended screening for IPV and counseling about the full range of contraceptive methods should begin during pregnancy and continue through the postpartum period.

Tobacco Use and Tobacco-Related Behaviors - 11 Countries, 2008-2017.

Each year, tobacco use is responsible for approximately 8 million deaths worldwide, including 7 million deaths among persons who use tobacco and 1.2 million deaths among nonsmokers exposed to secondhand smoke (SHS) (1). Approximately 80% of the 1.1 billion persons who smoke tobacco worldwide reside in low- and middle-income countries (2,3). The World Health Organization's (WHO's) Framework Convention on Tobacco Control (FCTC) provides the foundation for countries to implement and manage tobacco control through the MPOWER policy package,* which includes monitoring tobacco use, protecting persons from SHS, warning them about the danger of tobacco, and enforcing bans on tobacco advertising, promotion, or sponsorship (tobacco advertising) (4). CDC analyzed data from 11 countries that completed two or more rounds of the Global Adult Tobacco Survey (GATS) during 2008-2017. Tobacco use and tobacco-related behaviors that were assessed included current tobacco use, SHS exposure, thinking about quitting because of warning labels, and exposure to tobacco advertising. Across the assessed countries, the estimated percentage change in tobacco use from the first round to the most recent round ranged from -21.5% in Russia to 1.1% in Turkey. Estimated percentage change in SHS exposure ranged from -71.5% in Turkey to 72.9% in Thailand. Estimated percentage change in thinking about quitting because of warning labels ranged from 77.4% in India to -33.0% in Turkey. Estimated percentage change in exposure to tobacco advertising ranged from -66.1% in Russia to 44.2% in Thailand. Continued implementation and enforcement of proven tobacco control interventions and strategies at the country level, as outlined in MPOWER, can help reduce tobacco-related morbidity and mortality worldwide (3,5,6).

Are there hardened smokers in low- and middle-income countries? Findings from the Global Adult Tobacco Survey.

INTRODUCTION: Hardened smokers are those who do not want to quit, or find it very difficult to quit. This study assessed the prevalence and predictors of hardened smokers in 19 low- and middle-income countries (LMICs). METHODS: We used nationally representative data from 19 LMICs that conducted the Global Adult Tobacco Survey during 2009-2013. Our analysis is restricted to adults aged ≥25 years. Hardened smokers were defined as daily smokers who smoked for 5 or more years, and who reported the following: no quit attempt in the past year that lasted 24 or more hours; no interest in quitting, or not planning to quit in the next year; and currently smoked within 30 minutes after waking. For each country, the prevalence of hardened smokers was analyzed by sex, age, residence (urban or rural), educational attainment, wealth index, and knowledge of the danger of smoking. Multivariable logistic regression was used to assess predictors of hardened smoking. RESULTS: Prevalence of hardened smokers among adults (aged ≥25 years) ranged from 1.1% (Panama) to 14.3% (Russia). Among current smokers (aged ≥25 years), the proportion of hardened smokers ranged from 7.5% (Mexico) to 38.4% (Romania). Adjusted odds of hardened smokers were significantly higher for males (9 of 19 countries), smokers aged 65 years or older (12 of 19 countries), adults with lower educational attainment (9 of 19 countries), and no knowledge of the danger of smoking (8 of 19 countries). CONCLUSIONS: The spectrum of smokers in the LMICs includes hardened smokers and prevalence varies across population groups. Full implementation of proven tobacco control strategies could reduce hardened smoking in LMICs.

Prevalence and maternal characteristics associated with receipt of prenatal care provider counseling about medications safe to take during pregnancy.

Use of some medications during pregnancy can be harmful to the developing fetus, and discussion of the risks and benefits with prenatal care providers can provide guidance to pregnant women. We used Pregnancy Risk Assessment Monitoring System data collected for 2015 births aggregated from 34 US states (n = 40,480 women) to estimate the prevalence of self-reported receipt of prenatal care provider counseling about medications safe to take during pregnancy. We examined associations between counseling and maternal characteristics using adjusted prevalence ratios (aPR). The prevalence of counseling on medications safe to take during pregnancy was 89.2% (95% confidence interval [CI]: 88.7-89.7). Women who were nulliparous versus multiparous (aPR 1.03; 95% CI: 1.02-1.04), who used prescription medications before pregnancy versus those who did not, (aPR 1.03; 95% CI: 1.02-1.05), and who reported having asthma before pregnancy versus those who did not, (aPR 1.05; 95% CI: 1.01-1.08) were more likely to report receipt of counseling. There was no difference in counseling for women with pre-pregnancy diabetes, hypertension, and/or depression compared to those without. Women who entered prenatal care after the first trimester were less likely to report receipt of counseling (aPR 0.93; 95% CI: 0.91-0.96). Overall, self-reported receipt of counseling was high, with some differences by maternal characteristics. Although effect estimates were small, it is important to ensure that information is available to prenatal care providers about medication safety during pregnancy, and that messages are communicated to women who are or might become pregnant.

Percentage of current tobacco smoking students receiving help or advice to quit: Evidence from the Global Youth Tobacco Survey, 56 countries, 2012-2015.

INTRODUCTION: We assessed self-reported receipt of help or advice to stop smoking among current tobacco smoking students enrolled in school. METHODS: Using cross-sectional data collected between 2012-2015 from the Global Youth Tobacco Survey (GYTS), and representing the latest year for which data were collected, we calculated prevalence of receipt of help or advice to stop smoking among current tobacco smoking students aged 13-15 years from 56 countries. The sources of help or advice assessed in the GYTS were: 1) from a program or professional, 2) from a friend, and 3) from a family member. Overall response rates ranged from 60.3% in Nicaragua to 99.2% in Sudan. The analytic sample size ranged from 55 in Gabon to 950 in Bulgaria. RESULTS: In 53 of the 56 assessed countries, more than half of current tobacco smoking students received help or advice to quit from either a program or professional, friend, or family member (range=39.9% San Marino to 96.9% Timor-Leste). From a friend or family member only, the range was 37.2% Bahamas to 69.9% Montenegro, and from a program or professional only, the range was 3.7% Latvia to 34.2% Togo. CONCLUSIONS: Family and friends are the most common sources of help or advice to quit smoking among current tobacco smoking students in the GYTS countries assessed, while programs and professionals were the least common. The use of evidence-based measures is critical to prevent and reduce tobacco use among youth and to ensure they are receiving appropriate help or advice to quit.

Current Tobacco Smoking, Quit Attempts, and Knowledge About Smoking Risks Among Persons Aged ≥15 Years - Global Adult Tobacco Survey, 28 Countries, 2008-2016.

Each year, tobacco use causes approximately 7 million deaths worldwide, including approximately 6 million among tobacco users and an estimated 890,000 among nonsmokers exposed to secondhand smoke (1). Tobacco use is a leading preventable cause of disease globally and has been determined to cause adverse health outcomes such as coronary heart disease, stroke, and multiple types of cancer, including lung cancer (2-4). Approximately 80% of the world's 1.1 billion tobacco smokers reside in low- and middle-income countries (4). Some persons do not fully understand the health risks associated with tobacco smoking (5-9), and studies have indicated that increasing knowledge about the adverse health effects of smoking can contribute to decreases in smoking, increases in cessation attempts, and increases in successful cessation (3,7,10). CDC analyzed 2008-2016 Global Adult Tobacco Survey (GATS) data from 28 countries to assess tobacco smoking prevalence, quit attempts, and knowledge about tobacco smoking risks among persons aged ≥15 years. Across countries, the median prevalence of tobacco smoking was 22.5%, and a median of 42.5% of tobacco smokers had made a quit attempt in the preceding 12 months. The median prevalences of knowing that tobacco smoking causes stroke, heart attack, and lung cancer were 73.6%, 83.6%, and 95.2%, respectively. Implementation of proven tobacco control interventions, including strategies that increase knowledge about the health risks posed by tobacco use, might help to reduce tobacco use and tobacco-related disease, including heart disease, stroke, and lung cancer (3-5).

Racial/Ethnic Inequities in Low Birth Weight and Preterm Birth: The Role of Multiple Forms of Stress.

Introduction Racial/ethnic inequities in low birth weight (LBW) and preterm birth (PTB) persist in the United States. Research has identified numerous risk factors for adverse birth outcomes; however, they do not fully explain the occurrence of, or inequalities in PTB/LBW. Stress has been proposed as one explanation for differences in LBW and PTB by race/ethnicity. Methods Using the Pregnancy Risk Assessment Monitoring System (PRAMS) data from 2012 to 2013 for 21 states and one city (n = 15,915) we used Poisson regression to estimate the association between acute, financial and relationship stressors and LBW and PTB, and to examine the contribution of these stressors individually and simultaneously to racial/ethnic differences in LBW and PTB. Results Adjusting for age and race/ethnicity, acute (p < 0.001), financial (p < 0.001) and relationship (p < 0.05) stressors were associated with increased risk of LBW, but only acute (p < 0.05) and financial (p < 0.01) stress increased risk of PTB. Across all models, non-Hispanic blacks had higher risk of LBW and PTB relative to non-Hispanic whites (IRR 1.87, 95% CI 1.55, 2.27 and IRR 1.46, 95% CI 1.18, 1.79). Accounting for the effects of stressors attenuated the risk of LBW and PTB by 17 and 22% respectively, but did not fully explain the increased likelihood of LBW and PTB among non-Hispanic blacks. Discussion Results of this study demonstrate that stress may increase the risk of LBW and PTB. While stressors may contribute to racial/ethnic differences in LBW and PTB, they do not fully explain them. Mitigating stress during pregnancy may help promote healthier birth outcomes and reduce racial/ethnic inequities in LBW and PTB.