Gupta Rajat Das, Akonde Maxwell, Sajal Ibrahim Hossain, Al Kibria Gulam Muhammed
Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
BRAC James P Grant School of Public Health, BRAC University, Mohakhali, Dhaka, Bangladesh.
Clin Hypertens. 2021 Feb 26;27(1):6. doi: 10.1186/s40885-021-00164-4.
Previous studies that investigated association of height with prevalence and control of hypertension found mixed results. This cross-sectional study explored these associations among US adults (≥20 years).
The National Health and Nutrition Examination Survey (NHANES) 2007-18 data was analyzed. Height was measured in meters and was converted into centimeters (cm) and was further divided into quartiles: Q1 (135.3-159.2 cm), Q2 (159.3-166.2 cm), Q3 (166.3-173.6 cm), Q4 (173.7-204.5 cm). Hypertension definition of the '2017 American College of Cardiology/American Heart Association Guideline' was used. Logistic regression analyses were conducted to find out the association between the dependent variable and the covariates. Linear regression analyses were conducted to find out the association of height with systolic blood pressure (SBP), diastolic blood pressure (DBP), pulse pressure (PP), and the covariates among the individuals who were not taking any antihypertensive drugs. Crude odds ratio, adjusted odds ratio (AOR), and adjusted beta-coefficient (for linear regression) with 95% confidence interval (CI) were reported. The following covariates were included: age, gender, race/ethnicity, family income, education level, cholesterol level, high-density lipoprotein level, chronic kidney disease status, diabetes status, smoker, aerobic leisure-time physical activity, and survey period. Sample weight of NHANES was adjusted.
Among the 21,935 participants (47.1% males), the prevalence of hypertension was 46.1%. Among 6154 participants taking medication (43.0% males), 57.2% had uncontrolled hypertension. In the final logistic regression analyses, participants in Q2 height quartile had 20% lower odds of being hypertensive compared to those in Q4 height quartile (AOR: 0.8; 95% CI: 0.7,1.0). Other height categories did not reveal any significant association. Compared to Q4 height category, Q1 (AOR: 1.7; 95% CI: 1.2,2.3), Q2 (AOR: 1.4; 95% CI: 1.1,1.8), and Q3 (AOR: 1.3; 95% CI: 1.1,1.6) height categories had higher odds of uncontrolled hypertension. PP was inversely associated and DBP was positively associated with height.
Although height was not associated with prevalence of hypertension, it had inverse association with uncontrolled hypertension. It was also significantly associated with DBP and PP among the individuals with untreated hypertension.
既往研究调查身高与高血压患病率及控制情况之间的关联,结果不一。本横断面研究探讨了美国成年人(≥20岁)中的这些关联。
分析了2007 - 2018年美国国家健康与营养检查调查(NHANES)的数据。身高以米为单位测量,换算为厘米(cm),并进一步分为四分位数:Q1(135.3 - 159.2 cm),Q2(159.3 - 166.2 cm),Q3(166.3 - 173.6 cm),Q4(173.7 - 204.5 cm)。采用“2017美国心脏病学会/美国心脏协会指南”中的高血压定义。进行逻辑回归分析以找出因变量与协变量之间的关联。对未服用任何降压药的个体进行线性回归分析,以找出身高与收缩压(SBP)、舒张压(DBP)、脉压(PP)及协变量之间的关联。报告了粗比值比、调整后比值比(AOR)以及调整后的β系数(用于线性回归)及其95%置信区间(CI)。纳入了以下协变量:年龄、性别、种族/族裔、家庭收入、教育水平、胆固醇水平、高密度脂蛋白水平、慢性肾病状况、糖尿病状况、吸烟者、有氧休闲时间体力活动以及调查时期。对NHANES的样本权重进行了调整。
在21935名参与者(47.1%为男性)中,高血压患病率为46.1%。在6154名正在服药的参与者(43.0%为男性)中,57.2%的人高血压未得到控制。在最终的逻辑回归分析中,身高处于Q2四分位数的参与者患高血压的几率比身高处于Q4四分位数的参与者低20%(AOR:0.8;95%CI:0.7,1.0)。其他身高类别未显示出任何显著关联。与Q4身高类别相比,Q1(AOR:1.7;95%CI:1.2,2.3)、Q2(AOR:1.4;95%CI:1.1,1.8)和Q3(AOR:1.3;95%CI:1.1,1.6)身高类别高血压未得到控制的几率更高。PP与身高呈负相关,DBP与身高呈正相关。
虽然身高与高血压患病率无关,但与高血压未得到控制呈负相关。在未治疗的高血压个体中,身高还与DBP和PP显著相关。