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Young Stroke Prevention Program for University Lecturers with Risk Factors via Smartphone Application

机译:智能手机申请风险因素的大学讲师年轻卒中预防计划

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The major risk factors for young stroke patients were hypertension, diabetes, hyperlipidemia, waist circumference, and body mass index. This study evaluated the effectiveness of a young stroke prevention program for university lecturers via using a smartphone application. Research design was a quasi- experimental research one-group pretest-posttest design with using multistage random sampling. The study population were Kasetsart university lecturers (n = 21) with risk factors for stroke, age between 20 - 45 years old. The 13 weeks program involved sending each subject weekly via a smart phone application information on stroke education, nutrition management and basic knowledge of exercise. Descriptive statistics were used to analyze the general characteristics, Inferential statistics to analyze the average scores pre-test and post-test, with stroke knowledge, weight, waist, body mass index (BMI), blood pressure level, attitude, and risk behavior were determined using a paired t-test statistic. The post-test results from the 21 respondents who participated indicated their knowledge level of stroke education was significantly higher than the pre-exposure, with mean pre-exposure and post-exposure scores of 7.81 and 9.10, respectively. Furthermore, body weight, waist size, systolic blood pressure , diastolic blood pressure and body mass index, were significantly lower by the end of the program. However, no significant differences were found for attitude nor for the subject behavior regarding risk factors of a stroke. This program can act as the guideline to reduce the incidence of young stroke by reducing risk factors and managing stroke prevention for university lecturers with risk factors of stroke.
机译:年轻中风患者的主要风险因素是高血压,糖尿病,高脂血症,腰围和体重指数。本研究评估了通过使用智能手机应用程序对大学讲师的年轻冲程预防计划的有效性。研究设计是一种拟试验研究,使用多级随机抽样进行一组预测试后设计。研究人口是Kasetsart大学讲师(n = 21),中风的风险因素,年龄在20至45岁之间。 13周的计划涉及每周通过关于笔划教育,营养管理和运动基本知识的智能手机应用信息发送每个主题。描述性统计用于分析一般特征,推动统计分析平均分数预测和后检验,随着笔划知识,体重,腰部,体重指数(BMI),血压水平,姿态和风险行为使用配对的T检验统计确定。参与的21名受访者的后测试结果表明他们的知识水平的中风教育程度明显高于预曝光,平均预接触和暴露后分别为7.81和9.10。此外,在程序结束时,体重,腰部尺寸,收缩压,舒张压和体重指数显着降低。然而,没有发现关于卒中风险因素的态度的显着差异。该计划可以作为减少危险因素和管理大学讲师的危险因素和预防大学讲师的卒中卒中发生率的指导风险因素中风。

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