Unknown

Dataset Information

0

Burden of stroke in North Africa and Middle East, 1990 to 2019: a systematic analysis for the global burden of disease study 2019.


ABSTRACT:

Background

While several studies investigated the epidemiology and burden of stroke in the North Africa and Middle East region, no study has comprehensively evaluated the age-standardized attributable burden to all stroke subtypes and their risk factors yet.

Objective

The aim of the present study is to explore the regional distribution of the burden of stroke, including ischemic stroke, subarachnoid hemorrhage, and intracerebral hemorrhage, and the attributable burden to its risk factors in 2019 among the 21 countries of North Africa and Middle East super-region.

Methods

The data of the Global Burden of Disease Study (GBD) 2019 on stroke incidence, prevalence, death, disability-adjusted life years (DALYs), years of life lost (YLLs), years lived with disability (YLDs) rates, and attributed deaths, DALYs, YLLs, and YLDs to stroke risk factors were used for the present study.

Results

The age-standardized deaths, DALYs, and YLLs rates were diminished statistically significant by 27.8, 32.0, and 35.1% from 1990 to 2019, respectively. Attributed deaths, DALYs, and YLLs to stroke risk factors, including high systolic blood pressure, high body-mass index, and high fasting plasma glucose shrank statistically significant by 24.9, 25.8, and 28.8%, respectively.

Conclusion

While the age-standardized stroke burden has reduced during these 30 years, it is still a concerning issue due to its increased burden in all-age numbers. Well-developed primary prevention, timely diagnosis and management of the stroke and its risk factors might be appreciated for further decreasing the burden of stroke and its risk factors and reaching Sustainable Development Goal 3.4 target for reducing premature mortality from non-communicable diseases.

SUBMITTER: Shahbandi A 

PROVIDER: S-EPMC9327376 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC9538696 | biostudies-literature
| S-EPMC9592811 | biostudies-literature
| S-EPMC9513750 | biostudies-literature
| S-EPMC8854638 | biostudies-literature
| S-EPMC9258079 | biostudies-literature
| S-EPMC10643100 | biostudies-literature
| S-EPMC9272597 | biostudies-literature
| S-EPMC9052181 | biostudies-literature
| S-EPMC10521494 | biostudies-literature
| S-EPMC9841703 | biostudies-literature