Database/Bioinformatics Laboratory, Chungbuk National University, Cheongju 28644, Korea.
Faculty of Information Technology, Ton Duc Thang University, Hochiminh City 700000, Vietnam.
Int J Environ Res Public Health. 2018 Nov 16;15(11):2571. doi: 10.3390/ijerph15112571.
Hypertension and prehypertension are risk factors for cardiovascular diseases. However, the associations of both prehypertension and hypertension with anthropometry, blood parameters, and spirometry have not been investigated. The purpose of this study was to identify the risk factors for prehypertension and hypertension in middle-aged Korean adults and to study prediction models of prehypertension and hypertension combined with anthropometry, blood parameters, and spirometry. Binary logistic regression analysis was performed to assess the statistical significance of prehypertension and hypertension, and prediction models were developed using logistic regression, naïve Bayes, and decision trees. Among all risk factors for prehypertension, body mass index (BMI) was identified as the best indicator in both men [odds ratio (OR) = 1.429, 95% confidence interval (CI) = 1.304⁻1.462)] and women (OR = 1.428, 95% CI = 1.204⁻1.453). In contrast, among all risk factors for hypertension, BMI (OR = 1.993, 95% CI = 1.818⁻2.186) was found to be the best indicator in men, whereas the waist-to-height ratio (OR = 2.071, 95% CI = 1.884⁻2.276) was the best indicator in women. In the prehypertension prediction model, men exhibited an area under the receiver operating characteristic curve (AUC) of 0.635, and women exhibited a predictive power with an AUC of 0.777. In the hypertension prediction model, men exhibited an AUC of 0.700, and women exhibited an AUC of 0.845. This study proposes various risk factors for prehypertension and hypertension, and our findings can be used as a large-scale screening tool for controlling and managing hypertension.
高血压和高血压前期是心血管疾病的危险因素。然而，高血压前期和高血压与人体测量学、血液参数和肺功能的相关性尚未得到研究。本研究旨在确定中年韩国成年人高血压前期和高血压的危险因素，并研究结合人体测量学、血液参数和肺功能的高血压前期和高血压的预测模型。使用二元逻辑回归分析评估高血压前期和高血压的统计学意义，并使用逻辑回归、朴素贝叶斯和决策树开发预测模型。在所有高血压前期的危险因素中，体质指数（BMI）在男性（比值比[OR] = 1.429，95%置信区间[CI] = 1.304-1.462）和女性（OR = 1.428，95%CI = 1.204-1.453）中均被确定为最佳指标。相比之下，在所有高血压的危险因素中，BMI（OR = 1.993，95%CI = 1.818-2.186）在男性中被发现是最佳指标，而腰高比（OR = 2.071，95%CI = 1.884-2.276）在女性中是最佳指标。在高血压前期预测模型中，男性的受试者工作特征曲线（ROC）下面积（AUC）为 0.635，女性的预测能力 AUC 为 0.777。在高血压预测模型中，男性的 AUC 为 0.700，女性的 AUC 为 0.845。本研究提出了高血压前期和高血压的各种危险因素，我们的研究结果可作为控制和管理高血压的大规模筛查工具。
