Gebreselassie Kirubel Zemedkun, Padyab Mojgan
Epidemiology and Global Health, Department of Public Health and Clinical Medicine, Umeå University, 901 85 Umeå, Sweden.
Centre for Population Studies, Ageing and Living Conditions Programme, Umeå University, Umeå, Sweden.
Int J Hypertens. 2015;2015:959256. doi: 10.1155/2015/959256. Epub 2015 Oct 1.
Studies using the revised hypertension classification are needed to better understand epidemiology of hypertension across full distribution. The sociodemographic, biological, and health behavior characteristics associated with different stages of hypertension in Ghana and South Africa (SA) were studied using global ageing and adult health (SAGE), WAVE 1 dataset. Blood pressure was assessed for a total of 7545 respondents, 2980 from SA and 4565 from Ghana. Hypertension was defined using JNC7 blood pressure classification considering previous diagnosis and treatment. Multivariate multinomial logistic regression analysis using Stata version 12 statistical software was done to identify independent predictors. The weighted prevalence of prehypertension and hypertension in Ghana was 30.7% and 42.4%, respectively, and that of SA was 29.4% and 46%, respectively, showing high burden. After adjusting for the independent variables, only age (OR = 1.32, 95% CI: 1.14-1.53), income (OR = 1.9, 95% CI: 1.04-3.47), and BMI (OR = 1.16, 95% CI: 1.1-1.22) remained independent predictors for stage 1 hypertension in Ghana, while, for SA, age (OR = 2.27, 95% CI: 1.53-3.36), sex (OR = 0.28, 95% CI: 0.08-1), and BMI (OR = 1.15, 95% CI: 1.07-1.25) were found to be independent predictors of stage 1 hypertension. Healthy lifestyle changes and policy measures are needed to promptly address these predictors.
需要开展采用修订后的高血压分类标准的研究,以更好地了解高血压在整个分布范围内的流行病学情况。利用全球老龄化与成人健康研究(SAGE)第一波数据集,对加纳和南非不同高血压阶段相关的社会人口学、生物学和健康行为特征进行了研究。对总共7545名受访者进行了血压评估,其中2980名来自南非,4565名来自加纳。根据美国国家高血压防治联合委员会(JNC7)的血压分类标准并考虑既往诊断和治疗情况来定义高血压。使用Stata 12版统计软件进行多变量多项逻辑回归分析,以确定独立预测因素。加纳高血压前期和高血压的加权患病率分别为30.7%和42.4%,南非分别为29.4%和46%,表明负担较重。在对自变量进行调整后,加纳仅年龄(比值比[OR]=1.32,95%置信区间[CI]:1.14-1.53)、收入(OR=1.9,95%CI:1.04-3.47)和体重指数(BMI)(OR=1.16,95%CI:1.1-1.22)仍是1期高血压的独立预测因素,而在南非,年龄(OR=2.27,95%CI:1.53-3.36)、性别(OR=0.28,95%CI:0.08-1)和BMI(OR=1.15,95%CI:1.07-1.25)被发现是1期高血压的独立预测因素。需要通过改变健康生活方式和采取政策措施来迅速应对这些预测因素。