Association between height and hypertension among US adults: analyses of National Health and Nutrition Examination Survey 2007–18
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Background: 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). Methods: 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. Results: 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 Conclusions: 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.
Abstract
Background: 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). Methods: 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. Results: 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 Conclusions: 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.
참고문헌 (36)
- GBD 2017 Risk Factor Collaborators, "Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017", Lancet, 392(10159), pp.1923~1994 (2018)
- GBD 2015 Mortality and Causes of Death Collaborators, "Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015", Lancet, 388(10053), pp.1459~1544 (2016)
- Ralston SH, "Davidson’s Principles and Practice of Medicine" (2018), Elsevier Health Sciences
- Ostchega Y, "Hypertension prevalence among adults aged 18 and over : United States, 2017–2018", NCHS Data Brief, 364, pp.1~8 (2020)
- Ostchega Y, "Factors Associated With Hypertension Control in US Adults Using 2017 ACC", AHA Guidelines : National Health and Nutrition Examination Survey 1999–2016, 2018, pp.31(8), 886~894
- Song L, "Height and prevalence of hypertension in a middle-aged and older Chinese population", Sci Rep, 6, pp.39480~ (2016)
- Das Gupta R, "Association between height and hypertension in the adult Nepalese population : findings from a nationally representative survey", Health Sci Rep, 2(12), pp.e141~ (2019)
- Olatunbosun ST, "Relationship between height, glucose intolerance, and hypertension in an urban African black adult population : a case for the"thrifty phenotype"hypothesis", J Natl Med Assoc, 92(6), pp.265~268 (2000)
- Hoque ME, "Impact of stature on non-communicable diseases : evidence based on Bangladesh Demographic and Health Survey, 2011 data", BMC Public Health, 14, pp.1007~ (2014)
- Talukder A, "Assessing the true association between hypertension status and stature of individuals in Bangladesh: propensity score analysis", J Hum Hypertens (2020)
- Bourgeois B, "Associations between height and blood pressure in the United States population", Medicine (Baltimore), 96(50), pp.e9233~ (2017)
- Curtin LR, "National Health and Nutrition Examination Survey : sample design, 2007–2010", Vital Health Stat 2, (160), pp.1~23 (2013)
- Johnson CL, "National health and nutrition examination survey : sample design, 2011–2014", Vital Health Stat 2, (162), pp.1~33 (2014)
- "National Health and Nutrition Examination Survey Data Documentation"[URL]
- Whelton PK, "2017 ACC", AHA, ABC, pp.ACPM, AGS[DOI]
- "National Health and Nutrition Examination Survey (NHANES): Anthropometry procedures manual" (2013)[URL]
- Levey AS, "A new equation to estimate glomerular filtration rate", Ann Intern Med, 150(9), pp.604~612 (2009)
- Maldonado G, "Simulation study of confounder-selection strategies", Am J Epidemiol, 138(11), pp.923~936 (1993)
- Voors AW, "Relation of blood pressure to stature in healthy young adults", Am J Epidemiol, 115(6), pp.833~840 (1982)
- London GM, "Body height as a determinant of carotid pulse contour in humans", J Hypertens Suppl, 10(6), pp.S93~5 (1992)
- Langenberg C, "Influence of height, leg and trunk length on pulse pressure, systolic and diastolic blood pressure", J Hypertens, 21(3), pp.537~543 (2003)
- Sichieri R, "Short stature and hypertension in the city of Rio de Janeiro, Brazil", Public Health Nutr, 3(1), pp.77~82 (2000)
- Florêncio TT, "Short stature, obesity and arterial hypertension in a very low income population in North-Eastern Brazil", Nutr Metab Cardiovasc Dis, 14(1), pp.26~33 (2004)
- Palmer JR, "Stature and the risk of myocardial infarction in women", Am J Epidemiol, 132(1), pp.27~32 (1990)
- Sin DD, "The relationship between reduced lung function and cardiovascular mortality : a population-based study and a systematic review of the literature", Chest, 127(6), pp.1952~1959 (2005)
- Elzinga G, "Matching between ventricle and arterial load", An evolutionary process. Circ Res, 68(6), pp.1495~1500 (1991)
- Smulyan H, "Comparative effects of aging in men and women on the properties of the arterial tree", J Am Coll Cardiol, 37(5), pp.1374~1380 (2001)
- de Jonge LL, "Parental smoking in pregnancy and the risks of adult-onset hypertension", Hypertension(Dallas, Tex : 1979), 61(2), pp.494~500 (2013)
- Perkins JM, "Adult height, nutrition, and population health", Nutr Rev, 74(3), pp.149~165 (2016)
- de Onis M, "Childhood stunting : a global perspective", Matern Child Nutr, 12, pp.12~26 (2016)
- Ettehad D, "Blood pressure lowering for prevention of cardiovascular disease and death : a systematic review and meta-analysis", Lancet, 387(10022), pp.957~967 (2016)
- Bundy JD, "Systolic blood pressure reduction and risk of cardiovascular disease and mortality : a systematic review and network meta-analysis", JAMA Cardiol, 2(7), pp.775~781 (2017)
- Wright JT Jr, "A randomized trial of intensive versus standard blood-pressure control", N Engl J Med, 373(22), pp.2103~2116 (2015)
- Lee Sung Hee, "A Retrospective Cohort Study on Obesity and Hypertension Risk among Korean Adults", Journal of Korean Medical Science, 20(2), pp.188~195 (2005), 대한의학회
- Al Kibria GM, "Age-stratified prevalence, treatment status, and associated factors of hypertension among US adults following application of the 2017 ACC", AHA guideline, 2019, pp.42(10), 1631~1643
- Anstey DE, "Income inequality and hypertension control", J Am Heart Assoc, 8(15), pp.e013636~ (2019)