Disease burden based on gender and age and risk factors for stroke in China, 2019 / 中南大学学报(医学版)

ABSTRACT

OBJECTIVES@#Stroke has become the leading cause of death and disability among adults in China. This study aims to analyze the disease burden based on gender and age and the risk factors for stroke subtypes in China 2019, and to provide reference for targeted stroke prevention and control.@*METHODS@#Based on 2019 data of the Global Burden of Disease (GBD), the gender and age in patients with different stroke subtypes (ischemic stroke, intracranial hemorrhage, subarachnoid hemorrhage) in China 2019 was described by using disability-adjusted life years (DALY), and attributable burden of related risk factors was analyzed.@*RESULTS@#In 2019, the burden of intracranial hemorrhage was the heaviest one in China, resulting in 22.210 6 million person years of DALY, following by ischemic stroke and subarachnoid hemorrhage, resulting in 21.393 9 and 2.344 7 million person years of DALY, respectively. Among them, except the 0-14 age group, the disease burden of different subtypes of stroke in men was higher than that in women. The disease burden of ischemic stroke was increased with age in both men and women, with the heaviest disease burden in ≥70 years group. The disease burden of intracranial hemorrhage and subarachnoid hemorrhage was the heaviest in males aged 50-69 years old, and in females aged ≥70 years and 50-69 years, respectively. Metabolic factors were the main risk factors in all ages of different stroke subtypes, and the most important risk factor was high systolic blood pressure. Other risk factors were different between men and women. Smoking, high body mass index, high low-density lipoprotein, and outdoor particulate matter pollution were the main risk factors for stroke in men, while high body mass index, outdoor particulate matter pollution, and high fasting blood glucose were the main risk factors of stroke in women. The main risk were different among different age groups.@*CONCLUSIONS@#The burden and attributable risk factors for different stroke subtypes are discrepancy in different gender and age groups. Targeted interventions should be conducted in the future to reduce the burden of stroke.