谷歌浏览器插件
订阅小程序
在清言上使用

Awareness of stroke, its signs, and risk factors: A cross-sectional population-based survey in Ghana.

Health science reports(2024)

引用 0|浏览1
暂无评分
摘要
Background and Aims:The prevalence of stroke in sub-Saharan Africa is steadily rising, leading to a growing strain on the healthcare system in the region. In the context of Ghana, stroke ranks as the third most prevalent cause of mortality. The current body of scholarly research on stroke awareness in Ghana is quite limited. The aim of this study is to assess the level of awareness of stroke, as well as its signs and symptoms among the Ghanaian population. Methods:The study employed a cross-sectional quantitative methodology, wherein 1000 participants completed self-administered structured questionnaires. Descriptive statistics were utilized to summarize the participants' socio-demographic characteristics and their responses. To assess the relationship between participants' sociodemographic traits and their awareness of stroke signs, symptoms, risk factors, and perception, the Chi-square test of independence was conducted using IBM SPSS version 26. A significance level of p < 0.05 was established. Results:The study identified limited awareness regarding stroke symptoms, warning signs, and risk factors. The participants exhibited an overall knowledge range of 25.9% to 47.2% concerning stroke signs and symptoms, and a range of 24%-39% regarding its causes and risk factors. Notably, paralysis (70.8%) and diet (59.9%) were the most easily recognized warning signs and risk factors for stroke, respectively. Sociodemographic characteristics such as age, religion, educational status, exposure to stroke, employment status, and marital status were shown to be associated with participants knowledge of stroke (p < 0.05). Conclusion:The study's results indicated a widespread lack of knowledge concerning the causes and risk factors of stroke among the Ghanaian population, highlighting the necessity for increased public education efforts to raise awareness about this condition.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要