AGK PhD Data File

The dataset described in this paper emanated from a survey distributed to patients visiting or referred to a public hospital in Pretoria, South Africa between July to December 2021. The ultimate goal of the study was to develop a reasonably robust model meant to establish the risk factors of hypertension amongst adults in South Africa attributable to extreme systolic and diastolic blood pressure values. Hypertension is becoming a global public health issue leading to global burden of morbidity and mortality worldwide and In sub-Saharan Africa, South Africa is one of the countries experiencing dramatic increase in the burden of hypertension. The high prevalence of hypertension in South African adults (17.1% to 25.9%) was found to be predicted by age, bmi, gender, highest education level, race, physical exercises, family history of hypertension, depression, diabetes, stress and marital status after fitting the Bayesian binary quantile regression models. Convergence was achieved using the Gelman-Rubin diagnostic as indicated by the estimated potential scale reduction factors of less than 1.1 for both systolic and diastolic blood pressure risk factors, suggesting the Bayesian binary's accuracy posterior estimated upper quantiles and the associated 95% credible intervals. Aggressive collaborative efforts between the general public, health authorities, non-governmental organisations, private sector and the government meant to minimise lifestyle causes of hypertension are a priority.

本研究所用数据集源自2021年7月至12月间，针对南非比勒陀利亚一家公立医院的就诊及转诊患者开展的问卷调查。本研究的最终目标是构建一个具备合理稳健性的模型，用以确定南非成年人中与极端收缩压、舒张压水平相关的高血压危险因素。高血压已成为全球性公共卫生问题，在全球范围内造成了沉重的疾病与死亡负担；在撒哈拉以南非洲地区，南非是高血压负担急剧攀升的国家之一。经拟合贝叶斯二元分位数回归模型后发现，南非成年人17.1%至25.9%的高血压高患病率，可通过年龄、体质量指数（Body Mass Index, BMI）、性别、最高受教育水平、种族、体育锻炼、高血压家族史、抑郁、糖尿病、压力水平及婚姻状况进行预测。通过Gelman-Rubin诊断法验证模型收敛：收缩压与舒张压危险因素的潜在尺度缩减因子估计值均小于1.1，提示该贝叶斯二元模型的后验上限分位数及对应95%可信区间的估计结果准确可靠。动员公众、卫生主管部门、非政府组织、私营部门与政府开展积极协作，以最大限度降低高血压的生活方式诱因，是当前的优先工作事项。