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자료유형
학술저널
저자정보
Moo-Yong Rhee (Dongguk University Ilsan Hospital) Sun-Woong Kim (Survey and Health Policy Research Center Dongguk University) Eun-Hee Choi (Survey and Health Policy Research Center Dongguk University) 김지현 (동국대학교) Deuk-Young Nah (Dongguk University Gyeongju) Sung-Joon Shin (Dongguk University Ilsan Hospital) Namyi Gu (Dongguk University Ilsan Hospital)
저널정보
대한심장학회 Korean Circulation Journal Korean Circulation Journal Vol.46 No.5
발행연도
2016.1
수록면
681 - 687 (7page)

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Background and Objectives: We estimated the prevalence of hypertension and hypertension subtypes in a large semi-urban city in Korea, using 24-hour ambulatory blood pressure monitoring (ABPM) in a randomly selected sample population. Subjects and Methods: A random sample (aged 20-65 years) from a city with an adult population of approximately 600000 was selected by using a list-assisted random digit dialing method. The 24-hour ABPM and conventional blood pressure measurement (CBPM) of these individuals were obtained. Results: Among the 496 participants, valid 24-hour ABPM and CBPM were obtained from 462 (93%) individuals. The estimated prevalence of hypertension in Goyang was 17.54% by CBPM and 32.70% by 24-hour ABPM (p<0.01). In the age stratified analysis, both CBPM and 24-hour ABPM showed increased prevalence of hypertension with age. The estimated prevalence of masked hypertension was 16.22% and that of white-coat hypertension was 1.08%. Men had a higher prevalence of masked hypertension than women (20.79% vs. 11.86%, p=0.0295). The estimated prevalence of masked hypertension was 17.5%, 20.58%, 24.34%, and 13.29% in the age categories of 30s, 40s, 50s, and 60s, respectively. The estimated prevalence of masked uncontrolled hypertension was 26.79% in patients with hypertension who were taking antihypertensive medications. Conclusion: The estimated prevalence of hypertension by 24-hour ABPM was higher than that by CBPM, revealing high prevalence of masked hypertension. The high prevalence of masked hypertension supports the adoption of ABPM in the national population survey and clinical practice to improve public health and reduce health care costs.

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