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A laryngeal disorders prediction model based on cluster analysis and regression analysis

机译:基于聚类分析和回归分析的喉部障碍预测模型

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This study provided the baseline for establishing policies for community health promotion programs to propose the clusters of multiple health risk factors and identify the risks of laryngeal disorders according to the clusters by using the national level survey representing the South Korean population. This study targeted 5941 people who completed the 5th Korean National Health and Nutrition Examination Survey. The independent variables were age, sex, smoking, high-risk drinking, education level, occupation, household income, and self-reported voice problems. The identify cluster relationship with laryngeal disorders by conducting 2-way cluster analysis and multinomial logit analysis. The prevalence of laryngeal disorder was 6.7%. The results of analysis, 3 clusters were automatically extracted. Multinomial logistic regression analysis showed that sociodemographic factors, health risk behaviors, and health status clusters were significantly related to the risk of laryngeal disorders . The males who were smoking, high-risk drinking, college graduate and above, high income, and non-manual workers had a higher risk of laryngeal disorders than females who were non-smokers, non-drinkers, 60 years old and older, economically inactive, and high school graduate. The results of this study suggested that it may be effective to classify population according to sociodemographic and health behaviors and develop health education materials and health promotion program accordingly in order to prevent laryngeal disorders .
机译:本研究为建立社区健康促进计划的政策提供了基准,以提出多种健康风险因素的群集,并根据南朝鲜人口的国家一级调查确定喉头障碍的风险。本研究有针对性地完成了5941人,完成了第5次韩国国家健康和营养考试调查。独立变量是年龄,性别,吸烟,高风险饮酒,教育水平,占领,家庭收入和自我报告的语音问题。通过进行双向聚类分析和多项式编号分析,鉴定与喉部障碍的聚类关系。喉障碍的患病率为6.7%。分析结果,自动提取3个簇。多项式物流回归分析表明,社会血管性因素,健康风险行为和健康状况群集与喉障碍的风险有显着相关。吸烟,高风险饮酒,大学毕业生,高收入,高收入和非手动工人的雄性患有喉部障碍的风险更高,而不是非吸烟者,非饮酒者,60岁及以上,经济上的雌性不活跃,高中毕业。本研究的结果表明,根据社会渗目和健康行为对人口进行分类,并相应地制定健康教育材料和健康促进计划,以防止喉部障碍。

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