Summary Background Ending the global tobacco epidemic is a defining challenge in global health. Timely and comprehensive estimates of the prevalence of smoking tobacco use and attributable disease burden are needed to guide tobacco control efforts nationally and globally. Methods We estimated the prevalence of smoking tobacco use and attributable disease burden for 204 countries and territories, by age and sex, from 1990 to 2019 as part of the Global Burden of Diseases, Injuries, and Risk Factors Study. We modelled multiple smoking-related indicators from 3625 nationally representative surveys. We completed systematic reviews and did Bayesian meta-regressions for 36 causally linked health outcomes to estimate non-linear dose-response risk curves for current and former smokers. We used a direct estimation approach to estimate attributable burden, providing more comprehensive estimates of the health effects of smoking than previously available. Findings Globally in 2019, 1·14 billion (95% uncertainty interval 1·13–1·16) individuals were current smokers, who consumed 7·41 trillion (7·11–7·74) cigarette-equivalents of tobacco in 2019. Although prevalence of smoking had decreased significantly since 1990 among both males (27·5% [26·5–28·5] reduction) and females (37·7% [35·4–39·9] reduction) aged 15 years and older, population growth has led to a significant increase in the total number of smokers from 0·99 billion (0·98–1·00) in 1990. Globally in 2019, smoking tobacco use accounted for 7·69 million (7·16–8·20) deaths and 200 million (185–214) disability-adjusted life-years, and was the leading risk factor for death among males (20·2% [19·3–21·1] of male deaths). 6·68 million [86·9%] of 7·69 million deaths attributable to smoking tobacco use were among current smokers. Interpretation In the absence of intervention, the annual toll of 7·69 million deaths and 200 million disability-adjusted life-years attributable to smoking will increase over the coming decades. Substantial progress in reducing the prevalence of smoking tobacco use has been observed in countries from all regions and at all stages of development, but a large implementation gap remains for tobacco control. Countries have a clear and urgent opportunity to pass strong, evidence-based policies to accelerate reductions in the prevalence of smoking and reap massive health benefits for their citizens. Funding Bloomberg Philanthropies and the Bill & Melinda Gates Foundation.

Background Short Birth Interval negatively affects the health of both mothers and children in developing nations, like, Ethiopia. However, studies conducted to date in Ethiopia upon short birth interval were inconclusive and they did not show the extent and determinants of short birth interval in developing (Afar, Somali, Gambella, and Benishangul-Gumuz) regions of the country. Thus, this study was intended to assess the short birth interval and its determinants in the four developing regions of the country. Methods Data were retrieved from the Demographic and Health Survey program official database website (http://dhsprogram.com). A sample of 2683 women of childbearing age group (15-49) who had at least two alive consecutive children in the four developing regions of Ethiopia was included in this study. A multilevel multivariable logistic regression model was fitted to identify the independent predictors of short birth interval and Akaike's Information Criterion (AIC) was used during the model selection procedure. Results In this study, the prevalence of short birth interval was 46% [95% CI; 43.7%, 47.9%]. The multilevel multivariable logistic regression model showed women living in rural area [

Introduction: Women’s decision-making autonomy has a positive effect on the scale-up of contraceptive use. In Ethiopia, evidence regarding women’s decision-making autonomy on contraceptive use and associated factors is limited and inconclusive. Therefore, this study was intended to assess married women’s decision-making autonomy on contraceptive use and associated factors in Ethiopia using a multilevel logistic regression model. Methods: The study used data from the 2016 Ethiopia Demographic and Health Survey that comprised of a weighted sample of 3668 married reproductive age women (15–49 years) currently using contraceptives. A multilevel logistic regression model was fitted to identify factors affecting married women’s decision-making autonomy on contraceptive use. Akaike’s information criterion was used to select the best-fitted model. Results: Overall, 21.6% (95% confidence interval = 20.3%–22.9%) of women had decision-making autonomy on contraceptive use. Community exposure to family planning messages (adjusted odds ratio = 2.22, 95% confidence interval = 1.67–3.05), media exposure (adjusted odds ratio = 2.13, 95% confidence interval = 1.52–3.23), age from 35 to 49 years (adjusted odds ratio = 2.09, 95% confidence interval = 1.36–4.69), living in the richer households (adjusted odds ratio = 1.67, 95% confidence interval = 1.32–3.11), and visiting health facility (adjusted odds ratio = 2.01, 95% confidence interval = 1.34–3.87) were positively associated with women’s decision-making autonomy on contraceptive use. On the contrary, being Muslim (adjusted odds ratio = 0.53, 95% confidence interval = 0.29–0.95), being married before the age of 18 years (adjusted odds ratio = 0.33, 95% confidence interval = 0.12–0.92), and residing in rural residence (adjusted odds ratio = 0.48, 95% confidence interval = 0.23–0.87) were negatively associated with women’s independent decision on contraceptive use. Conclusion: Less than one-fourth of married reproductive age women in Ethiopia had the decision-making autonomy on contraceptive use. Media exposure, women’s age, household wealth, religion, age at marriage, visiting health facilities, community exposure to family planning messages, and residence were the factors associated with women’s decision-making autonomy on contraceptive use. The government should promote women’s autonomy on contraceptive use as an essential component of sexual and reproductive health rights through mass media, with particular attention for adolescent women, women living in households with poor wealth, and those residing in rural settings.

Background In Ethiopia, malaria is one of the public health problems, and it is still among the ten top leading causes of morbidity and mortality among under-five children. However, the studies conducted in the country have been inconclusive and inconsistent. Thus, this study aimed to assess factors associated with malaria among under-five children in Ethiopia. Methods We retrieved secondary data from the malaria indicator survey data collected from September 30 to December 10, 2015, in Ethiopia. A total of 8301 under-five-year-old children who had microscopy test results were included in the study. Bayesian multilevel logistic regression models were fitted and Markov chain Monte Carlo simulation was used to estimate the model parameters using Gibbs sampling. Adjusted Odd Ratio with 95% credible interval in the multivariable model was used to select variables that have a significant association with malaria. Results In this study, sleeping under the insecticide-treated bed nets during bed time (ITN) [AOR 0.58,95% CI, 0.31–0.97)], having 2 and more ITN for the household [AOR 0.43, (95% CI, 0.17–0.88)], have radio [AOR 0.41, (95% CI, 0.19–0.78)], have television [AOR 0.19, (95% CI, 0.01–0.89)] and altitude [AOR 0.05, (95% CI, 0.01–0.13)] were the predictors of malaria among under-five children. Conclusions The study revealed that sleeping under ITN, having two and more ITN for the household, altitude, availability of radio, and television were the predictors of malaria among under-five children in Ethiopia. Thus, the government should strengthen the availability and utilization of ITN to halt under-five mortality due to malaria.

Introduction. Amhara region has one of the highest rates of female child early marriage in Ethiopia, with eighty percent of girls in the region being married at the age of eighteen. Therefore, this study was intended to assess the prevalence and determinants of early marriage among women, in Amhara regional state. Methods. The data were extracted from the 2016 Ethiopian Demographic and Health Survey. The study included a sample of 2887 (weighted) married women from 645 clusters in Amhara regional state. The data were collected using a two-stage cluster design that includes the selection of enumeration areas as a first stage and selection of households as a second stage. A multilevel logistic regression model was fitted to determine the individual and community-level factors associated with early marriage. Result. The study revealed that 73% [95% CI 71.38, 74.62] of women aged 15–49 years were married before 18 years old. In the multilevel multivariable model; living as a rural dweller ( AOR = 4.33 ; 95% CI: 2.17, 8.64), no education ( AOR = 2.52 ; 95% CI: 2.23, 9.51), attending only primary education ( AOR = 2.31 ; 95% CI: 1.68, 8.53), parental decision-maker when to get marriage ( AOR = 3.44 ; 95% CI: 2.20, 5.39), being poorer ( AOR = 1.38 ; 95% CI: 1.16, 4.83), and poorest wealth status ( AOR = 2.37 ; 95% CI: 2.19, 7.83) were the independent predictors of early marriage. Conclusion. The prevalence of early marriage was high in Amhara region compared to other regions of the country. Therefore, the regional government should give due attention to access to education and encourage women’s decision-making power upon the time of marriage especially those residing in rural parts of the region.