Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. MethodsWe applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. FindingsIn 2019, there were 12•2 million (95% UI 11•0-13•6) incident cases of stroke, 101 million (93•2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6•55 million (6•00-7•02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11•6% [10•8-12•2] of total deaths) and the third-leading cause of death and disability combined (5•7% [5•1-6•2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70•0% (67•0-73•0), prevalent strokes increased by 85•0% (83•0-88•0), deaths from stroke increased by 43•0% (31•0-55•0), and DALYs due to stroke increased by 32•0% (22•0-42•0). During the same period, age-standardised rates of stroke incidence decreased by 17•0% (15•0-18•0), mortality decreased by 36•0% (31•0-42•0), prevalence decreased by 6•0% (5•0-7•0), and DALYs decreased by 36•0% (31•0-42•0). However, among people younger than 70 years, prevalence rates increased by 22•0% (21•0-24•0) and incidence rates increased by 15•0% (12•0-18•0). In 2019, the age-standardised stroke-related mortality rate was 3•6 (3•5-3•8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3•7 (3•5-3•9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62•4% of all incident strokes in 2019 (7•63 million [6•57-8•96]), while intracerebral haemorrhage constituted 27•9% (3•41 million [2•97-3•91]) and subarachnoid haemorrhage constituted 9•7% (1•18 million [1•01-1•39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79•6 million [67•7-90•8] DALYs or 55•5% [48•2-62•0] of total stroke DALYs), high bodymass index (34•9 million [22•3-48•6] DALYs or 24•3% [15•7-33•2]), high fasting plasma glucose (28•9 million [19•8-41•5] DALYs or 20•2% [13•8-29•1]), ambient particulate matter pollution (28•7 million [23•4-33•4] DALYs or 20•1% [16•6-23•0]), and smoking (25•3 million [22•6-28•2] DALYs or 17•6% [16•4-19•0]...

Background Hearing loss affects access to spoken language, which can affect cognition and development, and can negatively affect social wellbeing. We present updated estimates from the Global Burden of Disease (GBD) study on the prevalence of hearing loss in 2019, as well as the condition's associated disability. Methods We did systematic reviews of population-representative surveys on hearing loss prevalence from 1990 to 2019. We fitted nested meta-regression models for severity-specific prevalence, accounting for hearing aid coverage, cause, and the presence of tinnitus. We also forecasted the prevalence of hearing loss until 2050. Findings An estimated 1•57 billion (95% uncertainty interval 1•51-1•64) people globally had hearing loss in 2019, accounting for one in five people (20•3% [19•5-21•1]). Of these, 403•3 million (357•3-449•5) people had hearing loss that was moderate or higher in severity after adjusting for hearing aid use, and 430•4 million (381•7-479•6) without adjustment. The largest number of people with moderate-to-complete hearing loss resided in the Western Pacific region (127•1 million people [112•3-142•6]). Of all people with a hearing impairment, 62•1% (60•2-63•9) were older than 50 years. The Healthcare Access and Quality (HAQ) Index explained 65•8% of the variation in national agestandardised rates of years lived with disability, because countries with a low HAQ Index had higher rates of years lived with disability. By 2050, a projected 2•45 billion (2•35-2•56) people will have hearing loss, a 56•1% (47•3-65•2) increase from 2019, despite stable age-standardised prevalence. Interpretation As populations age, the number of people with hearing loss will increase. Interventions such as childhood screening, hearing aids, effective management of otitis media and meningitis, and cochlear implants have the potential to ameliorate this burden. Because the burden of moderate-to-complete hearing loss is concentrated in countries with low health-care quality and access, stronger health-care provision mechanisms are needed to reduce the burden of unaddressed hearing loss in these settings. Funding Bill & Melinda Gates Foundation and WHO.

BackgroundTo determine correlation of multiple parameters of socioeconomic status with cardiovascular risk factors in India.MethodsThe study was performed at eleven cities using cluster sampling. Subjects (n = 6198, men 3426, women 2772) were evaluated for socioeconomic, demographic, biophysical and biochemical factors. They were classified into low, medium and high socioeconomic groups based on educational level (<10, 10–15 and >15 yr formal education), occupational class and socioeconomic scale. Risk factor differences were evaluated using multivariate logistic regression.ResultsAge-adjusted prevalence (%) of risk factors in men and women was overweight or obesity in 41.1 and 45.2, obesity 8.3 and 15.8, high waist circumference 35.7 and 57.5, high waist-hip ratio 69.0 and 83.8, hypertension 32.5 and 30.4, hypercholesterolemia 24.8 and 25.3, low HDL cholesterol 34.1 and 35.1, high triglycerides 41.2 and 31.5, diabetes 16.7 and 14.4 and metabolic syndrome in 32.2 and 40.4 percent. Lifestyle factors were smoking 12.0 and 0.5, other tobacco use 12.7 and 6.3, high fat intake 51.2 and 48.2, low fruits/vegetables intake 25.3 and 28.9, and physical inactivity in 38.8 and 46.1%. Prevalence of > = 3 risk factors was significantly greater in low (28.0%) vs. middle (23.9%) or high (22.1%) educational groups (p<0.01). In low vs. high educational groups there was greater prevalence of high waist-hip ratio (odds ratio 2.18, confidence interval 1.65–2.71), low HDL cholesterol (1.51, 1.27–1.80), hypertriglyceridemia (1.16, 0.99–1.37), smoking/tobacco use (3.27, 2.66–4.01), and low physical activity (1.15, 0.97–1.37); and lower prevalence of high fat diet (0.47, 0.38–0.57),overweight/obesity (0.68, 0.58–0.80) and hypercholesterolemia (0.79, 0.66–0.94). Similar associations were observed with occupational and socioeconomic status.ConclusionsLow educational, occupational and socioeconomic status Asian Indians have greater prevalence of truncal obesity, low HDL cholesterol, hypertriglyceridemia, smoking or tobacco use and low physical activity and clustering of > = 3 major cardiovascular risk factors.

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BackgroundAntenatal care has several benefits for expecting mothers and birth outcomes; yet many mothers do not utilise this service in Nepal. Mass media may play an important role in increasing the use of antenatal care and other maternal health services. However, the effect of mass media on increasing health service utilisation has remained an under studied area in Nepal. The aim of this study was to investigate the impact of mass media on the utilisation of antenatal care services in rural Nepal.MethodsA community-based cross-sectional study was conducted in Sinurjoda Village Development Committee of Dhanusha District, Nepal. A total of 205 mothers of children aged under 1 year were selected using systematic random sampling. Logistic regression was employed to examine the association between selected antenatal care services and mass media exposure after adjusting for other independent variables.ResultsA majority of mothers were exposed to mass media. Radio was accessible to most (60.0 %) of the participants followed by television (43.41 %). Mothers exposed to mass media were more likely to attending antenatal visits [Odds ratio (OR) 6.28; 95 % CI (1.01–38.99)], taking rest and sleep during pregnancy [OR 2.65; 95 % CI (1.13–6.26)], and receiving TT immunization [OR 5.12; 95 % CI (1.23–21.24)] than their non-exposed counterparts.ConclusionsThe study reported a positive influence of mass media on the utilisation of antenatal care services in Nepal. Therefore, further emphasis should be given to increase awareness of women of rural Nepal through mass media to improve utilisation of antenatal care services in Nepal.