We report cessation behaviors, reasons for use of electronic cigarettes (EC) and heated tobacco products (HTP) and association of their use with quit attempts and smoking intensity using Romania ...Global Adult Tobacco Survey 2018. Weighted estimates of EC and HTP by cigarette smoking (CS) status were assessed. Quit attempts, intention to quit, reasons for lack of intention to quit among current CS, and reasons for current use of EC and HTP were estimated. The association of 'ever use' of EC and HTP with cigarette smoking intensity and quit attempts was explored using binary logistic regression. Of the total 4571 surveyed, 1243 (27.3%) were current CS, 300 (24.4%) made quit attempts in the past 12 months. Only 38 (12.5%) and 26 (8.6%) had used EC and HTP as an aid to quit. Among current CS, 512 (41.2%) had no intention to quit. Reasons for this were, 'enjoy smoking' (86.1%), 'reduce stress' (65.9%), and 'staying alert' (46.3%). Awareness and use of EC and HTP were significantly higher among current CS. 'Dual use' of EC and HTP with CS was manifolds higher than stand-alone use. Reasons for current use of EC and HTP were 'enjoyment', and 'use in places where smoking was prohibited'.
Hardcore smoking behaviours and test of hardening are seldom reported from low-and-middle-income countries (LMICs). We report country-wise changes in smoking behaviors between two sequential surveys ...and explored ecologically the relationship between MPOWER scores and smoking behaviors including hardcore smoking.
We analysed sequential Global Adult Tobacco Survey (GATS) data done at least at five years interval in 10 countries namely India, Bangladesh, China, Mexico, Philippines, Russia, Turkey, Ukraine, Uruguay, and Vietnam. We estimated weighted prevalence rates of smoking behaviors namely current smoking (both daily and non-daily), prevalence of hardcore smoking (HCS) among current smokers (HCSs%) and entire surveyed population (HCSp%), quit ratios (QR), and the number of cigarettes smoked per day (CPD). We calculated absolute and relative (%) change in rates between two surveys in each country. Using aggregate data, we correlated relative change in current smoking prevalence with relative change in HCSs% and HCSp% as well as explored the relationship of MPOWER score with relative change in smoking behaviors using Spearman' rank correlation test.
Overall daily smoking has declined in all ten countries lead by a 23% decline in Russia. In India, Bangladesh, and Philippines HCSs% decreased as the smoking rate decreased while HCSs% increased in Turkey (66%), Vietnam (33%) and Ukraine (15%). In most countries, CPD ranged from 15 to 20 sticks except in Mexico (7.8), and India (10.4) where CPD declined by 18 and 22% respectively. MPOWER scores were moderately correlated with HCSs% in both sexes (r = 0.644, p = 0.044) and HCSp% (r = 0.632, p = 0.05) and among women only HCSs% (r = 0.804, p = 0.005) was significantly correlated with MPOWER score.
With declining smoking prevalence, HCS had also decreased and quit rates improved. Ecologically, a positive linear relationship between changes in smoking and HCS is a possible evidence against 'hardening'. Continued monitoring of the changes in quitting and hardcore smoking behaviours is required to plan cessation services.
Although the Framework Convention on Tobacco Control prioritizes monitoring of tobacco use by population-based surveys, information about the prevalence and patterns of tobacco use in sub-Saharan ...Africa is limited. We provide country-level prevalence estimates for smoking and smokeless tobacco (SLT) use and assess their social determinants.
We analyzed population-based data of the most recent Demographic Health Surveys performed between 2006 and 2013 involving men and women in 30 sub-Saharan African countries. Weighted country-level prevalence rates were estimated for 'current smoking' (cigarettes, pipe, cigars, etc.) and 'current SLT use' (chewing, snuff, etc.). From the pooled datasets for men and women, social determinants of smoking and SLT use were assessed through multivariate analyses using a dummy country variable as a control and by including a within-country sample weight for each country.
Among men, smoking prevalence rates were high in Sierra Leone (37.7%), Lesotho (34.1%), and Madagascar (28.5%); low (<10%) in Ethiopia, Benin, Ghana, Nigeria, and Sao Tome & Principe; the prevalence of SLT use was <10% in all countries except for Madagascar (24.7%) and Mozambique (10.9%). Among women, smoking and SLT prevalence rates were <5% in most countries except for Burundi (9.9%), Sierra Leone (6%), and Namibia (5.9%) (smoking), and Madagascar (19.6%) and Lesotho (9.1%) (SLT use). The proportion of females who smoked was lower than SLT users in most countries. Older age was strongly associated with both smoking and SLT use among men and women. Smoking among both men and women was weakly associated, but SLT use was strongly associated, with education. Similarly, smoking among men and women was weakly associated, but SLT use was strongly associated, with the wealth index. Smoking and SLT use were also associated with marital status among both men and women, as well as with occupation (agriculturists and unskilled workers).
Prevalence of smoking among women was much lower than in men, although the social patterns of tobacco use were similar to those in men. Tobacco control strategies should target the poor, not/least educated, and agricultural and unskilled workers, who are the most vulnerable social groups in sub-Saharan Africa.
Delay in diagnosis of pulmonary tuberculosis results in increasing severity, mortality and transmission. Various investigators have reported about delays in diagnosis of tuberculosis. We aimed at ...summarizing the data on these delays in diagnosis of tuberculosis.
A systematic review of literature was carried out. Literature search was done in Medline and EMBASE from 1990 to 2008. We used the following search terms: delay, tuberculosis, diagnosis, and help-seeking/health-seeking behavior without language restrictions. In addition, indices of four major tuberculosis journals were hand-searched. Subject experts in tuberculosis and authors of primary studies were contacted. Reference lists, review articles and text book chapters were also searched. All the studies were assessed for methodological quality. Only studies carried out on smear/culture-positive tuberculosis patients and reporting about total, patient and health-care system delays were included.
A total of 419 potential studies were identified by the search. Fifty two studies qualified for the review. The reported ranges of average (median or mean) total delay, patient delay, health system delay were 25-185 days, 4.9-162 days and 2-87 days respectively for both low and high income countries. Average patient delay was similar to health system delay (28.7 versus 25 days). Both patient delay and health system delay in low income countries (31.7 days and 28.5 days) were similar to those reported in high income countries (25.8 days and 21.5 days).
The results of this review suggest that there is a need for revising case-finding strategies. The reported high treatment success rate of directly observed treatment may be supplemented by measures to shorten the delay in diagnosis. This may result in reduction of infectious cases and better tuberculosis control.
BackgroundSocioeconomic differentials of tobacco smoking in high-income countries are well described. However, studies to support health policies and place monitoring systems to tackle socioeconomic ...inequalities in smoking and smokeless tobacco use common in low-and-middle-income countries (LMICs) are seldom reported. We aimed to describe, sex-wise, educational and wealth-related inequalities in tobacco use in LMICs.MethodsWe analysed Demographic and Health Survey data on tobacco use collected from large nationally representative samples of men and women in 54 LMICs. We estimated the weighted prevalence of any current tobacco use (including smokeless tobacco) in each country for 4 educational groups and 4 wealth groups. We calculated absolute and relative measures of inequality, that is, the slope index of inequality (SII) and relative index of inequality (RII), which take into account the distribution of prevalence across all education and wealth groups and account for population size. We also calculated the aggregate SII and RII for low-income (LIC), lower-middle-income (lMIC) and upper-middle-income (uMIC) countries as per World Bank classification.FindingsMale tobacco use was highest in Bangladesh (70.3%) and lowest in Sao Tome (7.4%), whereas female tobacco use was highest in Madagascar (21%) and lowest in Tajikistan (0.22%). Among men, educational inequalities varied widely between countries, but aggregate RII and SII showed an inverse trend by country wealth groups. RII was 3.61 (95% CI 2.83 to 4.61) in LICs, 1.99 (95% CI 1.66 to 2.38) in lMIC and 1.82 (95% CI 1.24 to 2.67) in uMIC. Wealth inequalities among men varied less between countries, but RII and SII showed an inverse pattern where RII was 2.43 (95% CI 2.05 to 2.88) in LICs, 1.84 (95% CI 1.54 to 2.21) in lMICs and 1.67 (95% CI 1.15 to 2.42) in uMICs. For educational inequalities among women, the RII varied much more than SII varied between the countries, and the aggregate RII was 14.49 (95% CI 8.87 to 23.68) in LICs, 3.05 (95% CI 1.44 to 6.47) in lMIC and 1.58 (95% CI 0.33 to 7.56) in uMIC. Wealth inequalities among women showed a pattern similar to that of men: the RII was 5.88 (95% CI 3.91 to 8.85) in LICs, 1.76 (95% CI 0.80 to 3.85) in lMIC and 0.39 (95% CI 0.09 to 1.64) in uMIC. In contrast to men, among women, the SII was pro-rich (higher smoking among the more advantaged) in 13 of the 52 countries (7 of 23 lMIC and 5 of 7 uMIC).InterpretationOur results confirm that socioeconomic inequalities tobacco use exist in LMIC, varied widely between the countries and were much wider in the lowest income countries. These findings are important for better understanding and tackling of socioeconomic inequalities in health in LMIC.
Article 20 of the World Health Organisation Framework Convention on Tobacco Control calls for a cross-country surveillance of tobacco use through population-based surveys. We aimed to provide ...country-level prevalence estimates for current smoking and current smokeless tobacco use and to assess social determinants of smoking.
Data from Demographic and Health Surveys done between 2005 and 2012, among men and women from nine North African, Central and West Asian countries and six Latin American and Caribbean countries were analyzed. Weighted country-level prevalence rates were estimated for 'current smoking' and 'current use of smokeless tobacco (SLT) products' among men and women. In each country, social determinants of smoking among men and women were assessed by binary logistic regression analyses by including men's and women's sampling weights to account for the complex survey design.
Prevalence of smoking among men was higher than 40% in Armenia (63.1%), Moldova (51.1%), Ukraine (52%), Azerbaijan (49.8 %), Kyrgyz Republic (44.3 %) and Albania (42.52%) but the prevalence of smoking among women was less than 10% in most countries except Ukraine (14.81%) and Jordan (17.96%). The prevalence of smokeless tobacco use among men and women was less than 5% in all countries except among men in the Kyrgyz Republic (10.6 %). Smoking was associated with older age, lower education and poverty among men and higher education and higher wealth among women. Smoking among both men and women was associated with unskilled work, living in urban areas and being single.
Smoking among men was very high in Central and West Asian countries. Social pattern of smoking among women that was different from men in education and wealth should be considered while formulating tobacco control policies in some Central and West Asian countries.
We report the country-level prevalence of awareness about electronic cigarette use, and 'dual use' and its association with age, sex, country income, and e-cigarette regulatory status. We analyzed ...the most recent Global Youth Tobacco Surveys done on nationally representative samples of school-going youth aged 13-15 years in 75 countries/territories. The weighted prevalence of 'awareness' (heard about e-cigarettes), 'ever use' (even tried a few puffs), 'current use' (during the last 30 days), and 'dual use' (e-cigarette use and cigarette smoking during the last 30 days) were estimated. Awareness was > 80% in 13 countries mostly from Europe Poland being the highest at 95.8% (95% CI 94.8- 96.6). In seven countries, 30-50% of the youth had ever used an e-cigarette, Italy was the highest at 55.1% (95%CI 51-3,58.9). In 30 countries, current e-cigarette use was > 10%, the highest of 35.1% (95%CI 32.4-38.0) in Guam. Awareness and use were highest in the European region (74.6% and 34.5%) and HIC (83.6% and 39.4%). Youth from HIC (compared to lMIC) and countries having restrictive e-cigarette regulations (compared to NRP) had 2.4 times (aOR 2.2.4, 95% CI 2.2, 2.7) and 1.8 times (aOR 1.8, 95% CI 1.6, 2.0) higher odds of being current e-cigarette users respectively. Youth in countries with the most restrictive e-cigarette regulations (compared to NRP) had 0.6 times lower odds of being current e-cigarette users (aOR 0.6, 95% CI 0.6, 0.7). Awareness and e-cigarette use varied by sex, country income level, and region. Continued global surveillance of youth e-cigarette use is needed for the formulation of e-cigarette regulatory policy. Awareness and use of e-cigarettes were higher among boys, in countries in Europe and America regions, and among those with higher income and restrictive policies, whereas it was lower in countries having the most restrictive policies. Higher awareness is strongly correlated with a trial and current use of e-cigarettes. E-cigarette marketing should be restricted, and continued surveillance of e-cigarette use is needed. Most restrictive policies such as the ban on e-cigarettes appear to reduce e-cigarette use among the youth.
Abstract
Introduction
E-cigarette (EC) use is seldom reported from low- and middle-income countries (LMICs). We report the prevalence of “awareness” about EC, its use, and distribution of EC use by ...sociodemographic factors and cigarette smoking (CS) status.
Aims and Methods
We analyzed Global Adult Tobacco Survey data in Bangladesh, China, Costa Rica, Ethiopia, India, Kazakhstan, Mexico, Philippines, Romania, Russia, Senegal, Ukraine, Turkey, Uruguay, and Viet Nam during 2014–2018. The weighted prevalence of “awareness” (heard about), “ever” (even once), and “current” (daily/nondaily) EC use among never, current, and former cigarette smokers and quit ratios (past smokers/ever smokers) was estimated. Association of EC use with sociodemographic, and CS, was explored by multilevel regression.
Results
Overall, prevalence of “awareness,” “ever,” and “current” ECs use was 19.3% (95% confidence interval CI 27.4, 31.1), 2.6% (95% CI 2.4, 2.8), and 0.7% (95% CI 0.6, 0.8), respectively. In most countries, “ever use” <10%, and “current use” was about 1% except Romania (4.4%) and Russia (3.5%). “Current use” was 0.1%, 2.9%, and 3.1% among never, current, and former smokers, respectively. “Current” and “ever” EC use was higher among current and former than never smokers (2.8% and 3.1% vs. 0.1%; 9.9% and 10.9% vs. 0.7%), respectively. Current EC use was associated with male sex, urban residence and younger age, higher education, and wealth. “Quit attempts” (aOR 1.3, 95% CI 1.2, 1.5) and cigarettes smoked per day (aOR 1.6, 95% CI 1.4, 1.9) were associated with “ever use.”
Conclusions
EC use was low in most countries. “Dual use” was common among current smokers and the quit ratio was higher among ECs users.
Implications
EC use is increasing in high-income countries (HICs) where regulations on ECs are usually permissive. Evidence on the individual- or population-level impact of ECs on CS cessation is inconclusive. Little is known about the prevalence of EC use in LMICs where regulations are nonexistent or less restrictive. Studying the distribution of EC use rates by population subgroups, CS status, and quit ratios for CS among EC users will assist the formulation of EC regulatory policies. We provide comparable nationally representative prevalence estimates of “awareness” about and, use of ECs to serve as a benchmark for future monitoring. EC use was associated with the attempt to quit CS and smoking >10 cigarettes per day. However, “dual use” was common, and the quit ratio for CS was higher among EC users. EC use was very low relative to HICs. Nevertheless, comprehensive EC regulatory policies should be implemented to prevent the escalation of EC use by targeting population subgroups such as young adults, educated and wealthier individuals.
Recently there is a growing concern about stress during undergraduate medical training. However, studies about the same are lacking from Pakistani medical schools. The objectives of our study were to ...assess perceived stress, sources of stress and their severity and to assess the determinants of stressed cases.
A cross-sectional, questionnaire-based survey was carried out among undergraduate medical students of CMH Lahore Medical College, Pakistan during January to March 2009. Perceived stress was assessed using the perceived stress scale. A 33-item questionnaire was used to assess sources of stress and their severity.
The overall response rate was 80.5% (161 out of 200 students). The overall mean perceived stress was 30.84 (SD = 7.01) and was significantly higher among female students. By logistic regression analysis, stressed cases were associated with occurrence of psychosocial (OR 5.01, 95% CI 2.44-10.29) and academic related stressors (OR 3.17 95% CI 1.52-6.68). The most common sources of stress were related to academic and psychosocial concerns. 'High parental expectations', 'frequency of examinations', 'vastness of academic curriculum', 'sleeping difficulties', 'worrying about the future', 'loneliness', 'becoming a doctor', 'performance in periodic examinations' were the most frequently and severely occurring sources of stress. There was a negative but insignificant correlation between perceived stress and academic performance (r = -0.099, p > 0.05).
A higher level of perceived stress was reported by the students. The main stressors were related to academic and psychosocial domains. Further studies are required to test the association between stressed cases and gender, academic stressors and psychosocial stressors.
In South and Southeast Asian countries, tobacco is consumed in diverse forms, and smoking among women is very low. We aimed to provide national estimates of prevalence and social determinants of ...smoking and smokeless tobacco use among men and women separately.
Data from Demographic and Health Surveys completed in nine countries (India, Pakistan, Nepal, Bangladesh, Maldives, Philippines, Cambodia, Indonesia, and Timor Leste) were analyzed. Current smoking or smokeless tobacco use was assessed as response "yes" to one or more of three questions, such as "Do you currently smoke cigarettes?" Weighted country-level prevalence rates for socio-economic subgroups were calculated for smoking and smokeless tobacco use. Binary logistic regression analyses were done on STATA/IC (version 10) by 'svy' command.
Prevalence and type of tobacco use among men and women varied across the countries and among socio-economic sub groups. Smoking prevalence was much lower in women than men in all countries. Smoking among men was very high in Indonesia, Maldives, and Bangladesh. Smokeless tobacco (mainly chewable) was used in diverse forms, particularly in India, among both men and women. Chewing tobacco was common in Nepal, Bangladesh, Maldives, and Cambodia. Both smoking and smokeless tobacco use were associated with higher age, lower education, and poverty, but their association with place of residence and marital status was not uniform between men and women across the countries.
Policymakers should consider type of tobacco consumption and their differentials among various population subgroups to implement country-specific tobacco control policies and target the vulnerable groups. Smokeless tobacco use should also be prioritized in tobacco control efforts.
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