尼日利亚卡杜纳州Shika社区受访者对中风的认识及其危险因素的了解

A. Olorukooba, Y. Mohammed, S. Yahaya, L. Amadu, J. Ibrahim, M. Onoja-Alexander
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引用次数: 1

摘要

背景:通过预防、改变或治疗新出现或已确定的可改变危险因素,可以降低卒中风险。目的:本研究旨在了解Zaria Shika地区居民对脑卒中危险因素及其影响因素的认知情况。环境与设计:以社区为基础,对石卡社区133名调查对象进行横断面描述性研究。对象和方法:采用预测试、半结构化、访谈者管理的问卷来获取受访者的数据。统计分析使用:数据分析使用IBM-SPSS version 21。描述性汇总统计,如平均值和标准差(SD)用于表示数字数据,如年龄,而频率和比例用于分类数据,如知识水平。在P< 0.05的显著水平上,使用卡方检验和Fischer精确检验来确定分类变量之间的相关性。结果:受访者以男性居多(64.7%),平均(±SD)年龄为33±14岁,受过高等教育(46.6%)。约82.0%的人曾听说过中风。只有21.8%的受访者对卒中危险因素有良好的了解(任何能够识别≥2个确定因素的受访者)。卒中危险因素知晓率与被调查者性别(P = 0.04, χ2 = 6.25)、文化程度(P < 0.001)相关,均有统计学意义。结论:被调查者对脑卒中危险因素的认知程度较低,受教育程度和性别是相关因素。为了提高公众对中风的认识,基于本研究结果的社区教育策略应侧重于教育背景较差的人群。
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Awareness of stroke and knowledge of its risk factors among respondents in Shika community, Kaduna State, Nigeria
Context: Reduction in risk of stroke is possible through prevention, modification, or treatment of the emerging or established modifiable risk factors. Aims: The aim of this study is to assess the knowledge regarding stroke risk factors and factors affecting this knowledge among residents of Shika, Zaria. Settings and Design: A community-based cross-sectional descriptive study was conducted among 133 respondents in Shika community. Subjects and Methods: A pretested, semi-structured, interviewer-administered questionnaire was used to obtain data from the respondents. Statistical Analysis Used: Data were analyzed using IBM-SPSS version 21. Descriptive summary statistics such as mean and standard deviation (SD) were used to present numeric data such as age while frequencies and proportions were used for categorical data such as knowledge level. Chi-square test and Fischer's exact test were used to determine the association between categorical variables at a significant level of P< 0.05. Results: Majority of the respondents were males (64.7%), with a mean (± SD) age of 33 ± 14 years, and had tertiary education (46.6%). About 82.0% of them had ever heard of stroke. Only 21.8% of respondents had good knowledge (any respondent able to identify ≥2 established factors) of stroke risk factors. There was a statistically significant relationship between knowledge of stroke risk factors and gender of respondents (P = 0.04, χ2 = 6.25) as well as with the educational status of respondents (P < 0.001). Conclusion: Knowledge of stroke risk factors was found to be poor among the respondents, and educational status and gender of respondents were found to be associated factors. To increase public knowledge of stroke, community-based educational strategies based on the results of this study should focus on people with poor educational background.
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