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.
METHODS: Data for 91 countries were obtained from United Nations agencies. The response variable was life expectancy, and the determinant factors were demographic events (total fertility rate and adolescent fertility rate), socioeconomic status (mean years of schooling and gross national income per capita), and health factors (physician density and human immunodeficiency virus [HIV] prevalence rate). Path analysis was used to determine the direct, indirect, and total effects of these factors on life expectancy.
RESULTS: All determinant factors were significantly correlated with life expectancy. Mean years of schooling, total fertility rate, and HIV prevalence rate had significant direct and indirect effects on life expectancy. The total effect of higher physician density was to increase life expectancy.
CONCLUSIONS: We identified several direct and indirect pathways that predict life expectancy. The findings suggest that policies should concentrate on improving reproductive decisions, increasing education, and reducing HIV transmission. In addition, special attention should be paid to the emerging need to increase life expectancy by increasing physician density.