Literature DB >> 36190684

Prevalence and the age of onset patterns of stroke in Jiangsu Province, China.

Chenlu He1, Qian Chen1, Ziyuan Shen1, Ying Zhang1, Hao Hou1, Yifei Pei1, Wei Wang2, Xunbao Zhang3.   

Abstract

OBJECTIVES: Little was known regarding the current age of onset patterns of stroke. This study aimed to examine the prevalence of stroke and explore the age of onset patterns of stroke in Jiangsu Province, China.
MATERIALS AND METHODS: Participants were recruited from April 2012 to April 2013 in Jiangsu Province, China. Survival analysis models were used to evaluate the hazards of stroke by a single year of age. Kaplan-Meier analysis and the log-rank test were used to explore the disparities of the age of onset patterns of stroke.
RESULTS: This population-based study was conducted among 39,887 participants aged ≥ 18 years in Jiangsu Province, China. Of the 740 (1.9%) events of stroke, 13.2% suffered from hemorrhagic stroke (HS) and 86.8% suffered from ischemic stroke (IS). The prevalence of HS and IS were 0.3% and 1.7%, respectively. The estimated mean age of onset of stroke was 71.98 (95% CI: 71.97-71.99) years by the survival model. Up to age of 45 years, the estimated hazards of stroke onset were at a relatively low level. From the age of 45 years, the increases in hazards accelerated and peaked at age 75 years. Urban, smoking, and drinking males had a higher risk of stroke than their counterparts (P < 0.05). However, no such difference was found among females.
CONCLUSIONS: The findings emphasize the importance of implementing stroke prevention interventions in Jiangsu Province, China, especially for urban, smoking, and drinking males. It is of great significance to strengthen comprehensive management of health-related behaviors, including smoking cessation and moderate consumption of alcohol to have sustained beneficial effects on stroke risk. Chenlu He and Qian Chen contributed equally to this work.
© 2022. Fondazione Società Italiana di Neurologia.

Entities:  

Keywords:  China; Prevalence; Stroke; The age of onset patterns

Year:  2022        PMID: 36190684     DOI: 10.1007/s10072-022-06428-7

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.830


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