Association between height and hypertension among US adults: analyses of National Health and Nutrition Examination Survey 2007-18

• Published in: Clinical hypertension Vol. 27; no. 1; p. 6
• Main Authors: Gupta, Rajat Das, Akonde, Maxwell, Sajal, Ibrahim Hossain, Al Kibria, Gulam Muhammed
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 26.02.2021; BioMed Central; BMC; 대한고혈압학회
• Subjects: Adults; Age; Antihypertensives; Blood cholesterol; Blood pressure; Body height; Cholesterol; Chronic kidney failure; Diabetes; Diet therapy; Disease; Drugs; Education; Ethnicity; Exercise; Family income; Gender; Health surveys; Hispanic Americans; Hypertension; Nutrition; Physical fitness; Regression analysis; Secondary schools; Surveys; Variables; 내과학; United States > US; Hypertension; Body height
• ISSN: 2056-5909; 1342-2154; 2635-6325; 2056-5909
• 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.