不丹人群风湿性心脏病发病因素及其严重程度的实证研究

Lhendup Karma, Penjore Yeshey
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摘要

背景和目的:本文旨在挖掘导致RHD事件的因素,并在-à-vis建立在不丹首都廷布的吉格梅多吉旺楚克国家转诊医院(JDWNRH)转诊的RHD患者的严重程度。方法:利用过去5年(2016-2020年)从不丹20个地区的RHD患者收集的数据,心脏病科在JDWNRH中记录了约232名RHD患者。除描述性方法外,还采用多项逻辑回归模型增强的多元线性回归模型来建立因果联系。结果:研究结果显示,RHD在不丹的年轻人群中普遍存在,尤其是女性。年龄、就诊频率、诊断次数、教育水平和地区等变量被发现是RHD患病率的预测因素。其他社会人口因素如职业和就业状况对RHD患病率没有影响。多项logistic回归结果表明,较高的教育程度是患者不属于“严重”类别的重要因素。“年龄一直被发现是影响RHD事件的一个非常重要的变量,年龄和RHD的严重程度之间呈二次关系。”结论和翻译意义:本研究划分了RHD事件的重要因素,并按性别和年龄划分了严重程度。这项研究的发现也为制定公共卫生政策和项目提供了额外的重要见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An empirical study on factors responsible for Rheumatic Heart Disease (RHD) and its severity levels amongst the Bhutanese populace
Background and objectives: This paper is aimed at excavating the factors responsible for RHD events and vis-à-vis establishing severity levels of RHD patients referred to Jigme Dorji Wangchuck National Referral Hospital (JDWNRH) in Thimphu’s capital city of Bhutan. Methods: By taking notorious advantage of the data gathered over the past five years (2016-2020) from RHD patients across 20 districts of Bhutan, about 232 RHD patients are involved in this study recorded in JDWNRH by the Cardiology Department. Besides descriptive methods, multivariate linear regression models augmented by the multinomial logistic regression models had been applied to establish the causual links. Results: The findings revealed that RHD prevailed amongst the young populace of Bhutan, especially females. Variables like age, frequency of visits, number of diagnostics, levels of education and region had been found as predictors of RHD prevalence. Other socio-demographic factors like occupation and status of employment did not affect the RHD prevalence. The multinomial logistic regression results indicated that higher levels of education as an important factor for not making the patient fall into the category of ‘severe.’ Age has been constantly found to be a highly significant variable contributing to RHD events and a quadratic relationship is revealed between age and the severity of RHD. Conclusion and implications for translation: This study pigeonholed the significant factors responsible for RHD events and entailed severity levels by gender and age. The findings of this study also provide additional important insights into developing public health policies and programs.
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