Skip Navigation
Skip to contents

JPMPH : Journal of Preventive Medicine and Public Health

OPEN ACCESS
SEARCH
Search

Articles

Page Path
HOME > J Prev Med Public Health > Volume 44(3); 2011 > Article
Original Article
Frequency and Related Factors of Masked Hypertension at a Worksite in Korea
Sang-Kyu Kim1, Jun-Ho Bae2, Dung-Young Nah2, Dong-Wook Lee3, Tae-Yoon Hwang4, Kyeong-Soo Lee4
Journal of Preventive Medicine and Public Health 2011;44(3):131-139.
DOI: https://doi.org/10.3961/jpmph.2011.44.3.131
Published online: May 17, 2010
  • 10,374 Views
  • 78 Download
  • 5 Crossref
  • 9 Scopus

1Department of Preventive Medicine, Dongguk University College of Medicine, Gyeongju, Korea.

2Department of Internal Medicine, Dongguk University College of Medicine, Gyeongju, Korea.

3Department of Family Medicine, Dongguk University College of Medicine, Gyeongju, Korea.

4Department of Preventive Medicine and Public Health, Yeungnam University College of Medicine, Daegu, Korea.

Corresponding author: Kyeong-Soo Lee, MD, PhD. 317-1, Daemyung-dong, Nam-gu, Daegu 705-717, Korea. Tel: +82-53-620-4373, Fax: +82-53-653-2061, drkslee@ynu.ac.kr
• Received: October 15, 2010   • Accepted: March 17, 2011

Copyright © 2011 The Korean Society for Preventive Medicine

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

prev
  • Objectives
    Masked hypertension is associated with metabolic risks and increased risk of cardiovascular disease. The purpose of this study was to identify the frequency of and risk factors of masked hypertension in Korean workers.
  • Methods
    The study was conducted among 121 employees at a hotel in Gyeongju, Korea, from December 2008 to February 2009. We measured blood pressure (BP) both in the clinic and using 24-hour ambulatory BP monitors for all subjects. Hypertension was defined independently by both methods, and subjects were classified into four groups: true normotension, masked hypertension, white coat hypertension, and sustained hypertension.
  • Results
    The frequency of masked hypertension in our study group was 25.6%. Compared with true normotension, the factors related to masked hypertension were male gender (odds ratio [OR], 10.7; 95% confidence interval [CI], 1.41 to 81.09), aging one year (OR, 0.88; 95% CI, 0.78 to 0.99), clinic BP 120-129/80-84 mmHg (OR, 8.42; 95% CI, 1.51 to 46.82), clinic BP 130-139 / 85-89 mmHg (OR, 12.14; 95% CI, 1.80 to 81.85), smoking (OR, 5.51; 95% CI, 1.15 to 26.54), and increase of total cholesterol 1 mg / dL (OR, 1.05; 95% CI, 1.02 to 1.08). In males only, these factors were clinic BP 120-129 / 80-84 mmHg (OR, 15.07; 95% CI, 1.55 to 146.19), clinic BP 130-139 / 85-89 mmHg (OR, 17.16; 95% CI, 1.56 to 189.45), smoking (OR, 11.61; 95% CI, 1.52 to 88.62), and increase of total cholesterol 1 mg/dL (OR, 1.05; 95% CI, 1.01 to 1.09).
  • Conclusions
    The frequency of masked hypertension was high in our study sample. Detection and management of masked hypertension, a known strong predictor of cardiovascular risk, could improve prognosis for at-risk populations.
In Korea, cardiovascular disease is one of the major causes of death [1], and hypertension is a major risk factor for cardiovascular disease. Hypertension has been reported to be as high as 35% and 21%, respectively, in population attributable risks of incidence of cerebrovascular disease and ischemic heart disease in men [2]. According to data from the 2007 National Health and Nutrition Survey, the prevalence of hypertension is 24.9% (men 27.1%, women 22.1%) for adults over 30 years of age [3]. Since it is expected that the incidence of hypertension will increase due to aging of the population, there have been numerous studies of hypertension prevalence, incidence and related factors, and the Korean national and local governments have increased investment in hypertension management policy.
Diagnosis of hypertension is simple, and is made when blood pressure (BP) is equal to or greater than 140/90 mmHg during at least two separate clinic visits. However, the validity of BP measurement is questionable because BP varies according to situation, and differs significantly due to inter-observer error, the white coat effect, and other factors [4].
BP measurement equipment, aneroid, electronic, and 24-hour ambulatory BP monitoring are currently used to assess BP. Among these methods, 24-hour ambulatory BP monitoring enables the continuous observance of changes in BP during activities of daily life, so that BP can be measured automatically at specific time intervals (every 30 minutes or every hour), resulting in very accurate measurements of BP. This method offers the advantage of being free from observer error. In the most recent treatment guidelines [5] for hypertension from the European Society of Hypertension (ESH) and European Society of Cardiology (ESC), and in the seventh report [4] of the 2003 US Hypertension Joint National Committee (JNC 7), it was reported that 24-h ambulatory BP is more valuable for predicting prognosis than other measures, as it more accurately assesses the risk of cardiovascular disease than measurements of BP made during clinic or office visits, and is closely related to damage to target organs [4,5].
Masked hypertension (or isolated ambulatory hypertension), which was first introduced by Devereux and Pickering as "white-coat normotension" in 1990 [6], is defined as apparent normotension by clinic or office measurement, but as hypertension by 24-h ambulatory BP monitoring. Recently, clinical interest in masked hypertension has increased, as it has been reported that masked hypertension is associated with target organ damage and cardiovascular risk [7-9].
Masked hypertension is present in 9% to 24% of the general population [8,9], and in 6% to 28% of patients with hypertension [10-12]. Related factors of masked hypertension include younger age, male gender, obesity, high clinic BP, drinking and smoking [9,13,14].
Although 24-hour ambulatory BP monitoring is essential for the diagnosis of masked hypertension, it is unfamiliar and limited to use in Korea. Moreover, research on 24-hour ambulatory BP monitoring is rare, and some studies have been conducted only in patients who have visited hospitals for precision diagnosis of hypertension [10,12]. Studies regarding the prevalence of masked hypertension and related factors in the general population are rare.
The present study measured clinic or office BP and 24-hour ambulatory BP in workers at a single worksite where all employees participation were possible, classified BP according to results of measurement, and identified related factors of masked hypertension for analysis.
I. Study Subjects
The study was conducted in a sample of 121(89.0%) volunteers among 136 total hotel employees, in Gyeongju, Korea, from December 2008 to February 2009. BP was measured using an automatic sphyg-momanometer, and 24-hour ambulatory BP monitoring was conducted after completion of a structured questionnaire by participants. All participants provided informed consent. The Institutional Review Board of Dongguk University Gyeongju Hospital approved this study.
II. Methods

A) Questionnaire Survey

The questionnaires of general characteristics contained inquiries about gender, age, education, marital status, etc. The questionnaires of health related characteristics contained inquiries about drinking, smoking, regular exercise, presence or absence of doctor's diagnosis and medication of chronic disease such as hypertension, heart disease, dyslipidemia, etc. The questionnaires of occupational characteristics contained inquiries about division of work, work shift, occupational stress. The questionnaire survey was administered by nurses who were fully educated with regard to the purpose and methods of this study.
Occupational stress was measured using the Korean Occupational Stress Scale (KOSS), the validity and reliability of which has previously been evaluated [15]. Groups were classified as either high or low occupational stress based on the median value.

B) BP measurement

(1) Clinic BP measurement

Clinic BP measurements were made using an automatic sphygmomanometer (HEM-907, Omron Healthcare Co., Ltd., Japan), which is appropriate for AAMI/SP10 standards, according to standard procedures in the report of JNC 7 [4]. BP measure-ments were made at least twice for each subject with an interval of 2 minutes. In cases of measurement differences over 5 mmHg, the mean was calculated by including an additional measurement taken after 2 minutes. Hypertension was detected by clinic or office BP was defined when the systolic blood pressure (SBP) was equal to or greater than 140 mmHg, or when the diastolic blood pressure (DBP) was equal to or greater than 90 mmHg.

(2) 24-hour ambulatory BP monitoring

We measured 24-hour ambulatory BP using the Tonoport V (GE Marquette, WI, USA) after attachment of a properly-sized cuff on the left upper arm of each subject. Daytime BP was measured continuously over an interval of 30 minutes, from 6:00 AM to 10:00 PM, and nighttime BP was measured over an interval of 1 hour. During measurement, subjects were allowed to carry out routine daily activities, and a diary was provided for subjects to record subjective symptoms or changes in their physical or mental conditions.
We included 24-hour ambulatory BP data in analyses if the monitoring period included > 8 hours daytime and > 4 hours nighttime; these periods were estimated from the subjects' diaries. If the 24-hour ambulatory BP data for a given subject were not complete, that subject was retested on another day. Artifactual readings during 24-hour ambulatory BP monitoring were identified by heart specialists according to previously described criteria [16] and were omitted from analyses.
Hypertension by 24-hour ambulatory BP was defined when the mean daytime SBP was equal to or greater than 135 mmHg or when the mean daytime DBP was equal to or greater than 85 mmHg according to the report of JNC 7 and ESH and ESC guidelines for hypertension [4,5].

C) Diagnosis and classification of hypertension

Hypertension was defined independently by clinic BP and 24-hour ambulatory BP, and the subjects were classified into four groups without regard to previous diagnosis and medication of hypertension. First, the true normotension group was defined as subjects who were normotensive according to both methods; second, the sustained hypertension group was defined as subjects who were hypertensive by both methods; third, the masked hypertension group was defined as subjects who were normotensive by clinic or office BP but hypertensive by ambulatory BP; and fourth, the white coat hypertension group was defined as subjects who were hypertensive by clinic or office BP but normotensive by ambulatory BP.
III. Statistical Analysis
Categorical variables were represented as frequency and percentage, and continuous variables as mean ± standard deviation (SD). Categorical variables were compared by chi-square test or Fisher's exact test, while continuous variables were compared by t-test. With masked hypertension as a dependent variable, a multiple logistic regression analysis was conducted to identify levels of correlation and impact between individual variables considered. In first analysis, gender, age, clinic BP, total cholesterol, and smoking were adjusted, and in second analysis was conducted by gender. All data were analyzed using SPSS version 15.0 (SPSS Inc., Chicago, IL, USA).
I. General Characteristics of Subjects
Among a total of 121 subjects, there were 87 (71.9%) males and 34 (28.1%) females. The mean age across subjects was 35.1±9.3 years, while the mean male age was 37.3±8.0 years and the mean female age was 29.4±10.0 years. And 52 subjects (43.0%) were in their 30s, while 47 (54.0%) males were in their 30s and 25 (73.5%) females were in their 20s. And the other characteristics of subjects were shown in Table 1.
II. Frequency and Proportion of Hypertension According to Method of Measurement
Of the 121 total subjects, 37 (30.6%) subjects were hypertensive by clinic BP, and 65 (53.7%) subjects were hypertensive by ambulatory BP. Therefore, the proportion of hypertension detected significantly differed between the two measurement methods (p<0.01). According to age group, 4 (11.1%) subjects in their 20s were hypertensive by clinic BP, and 11 (30.6%) subjects were hypertensive by ambulatory BP, a difference that was significant (p<0.05). Nineteen (36.5%) subjects in their 30s were hypertensive by clinic BP, and 32 (61.5%) subjects in their 30s were hypertensive by ambulatory BP, another significant difference (p<0.05). For subjects in their 40s and 50s, the frequencies of hypertension detected by the two measurement methods did not significantly differ (Table 2).
III. Classification of Hypertension According to Clinic BP and Ambulatory BP
When subjects were classified into four groups according to clinic BP and ambulatory BP, 53 (43.8%) subjects were classified in the true normotension group, 34 (28.1%) subjects were classified in the sustained hypertension group, 31 (25.6%) subjects were classified in the masked hypertension group, and three (2.5%) subjects were classified in the white-coat hypertension group (Figure 1). There were 4 subjects under medication among 14 (11.6%) subjects who had been diagnosed with hypertension, and one of them were white-coat hypertension and 3 other subjects were sustained hypertension.
IV. Characteristics of the True Normotension Group and the Masked Hypertension Group
With regard to general characteristics, the proportion of males was significantly higher in the masked hypertension group than in the true normotension group (p<0.001), and the proportion of current smokers was significantly higher in the masked hypertension group (p<0.05)(Table 3).
With regard to clinical or biomedical characteristics, the daytime ambulatory SBP was significantly higher in the masked hypertension group (141.1±8.2 mmHg) than in the true normotension group (122.9±6.3 mmHg)(p<0.001), and the daytime ambulatory DBP was significantly higher in the masked hypertension group (90.4±6.4 mmHg) than in the true normotension group (77.8±5.2 mmHg)(p<0.001). The clinic SBP was significantly higher in the masked hypertension group (126.1±8.2 mmHg) than in the true normotension group (116.4±10.6 mmHg)(p<0.001), and the clinic DBP was significantly higher in the masked hypertension group (77.0±6.3 mmHg) than in the true normotension group (69.0±7.1 mmHg)(p<0.001). In addition, the waist circumference was significantly higher in the masked hypertension group than in the true normotension group (p<0.001). Body mass index (BMI), total triglyceride, and low density lipoprotein were significantly higher in the masked hypertension group than in the true normotension group (p<0.005)(Table 4).
V. Masked Hypertension Related Factors
Independent determinants of masked hypertension were identified by multiple logistic regression analysis. Compared with true normotension, the related factors of masked hypertension were male gender (OR, 10.7; 95% CI, 1.41 to 81.09), aging one year (OR, 0.88; 95% CI, 0.78 to 0.99), clinic BP 120-129/80-84 mmHg (OR, 8.42; 95% CI, 1.51 to 46.82), clinic BP 130-139/85-89 mmHg (OR, 12.14; 95% CI, 1.80 to 81.85), smoking (OR, 5.51; 95% CI, 1.15 to 26.54), and increase of total cholesterol 1 mg/dL (OR, 1.05; 95% CI, 1.02 to 1.08).
Most of the females included in our sample were in their 20s, and the frequency of masked hypertension in females was very low. Therefore, in some analyses we controlled for gender. In males alone, the related factors of masked hypertension were clinic BP 120-129/80-84 mmHg (OR, 15.07; 95% CI, 1.55 to 146.19), clinic BP 130-139/85-89 mmHg (OR, 17.16; 95% CI, 1.56 to 189.45), smoking (OR, 11.61; 95% CI, 1.52 to 88.62), and increase of total cholesterol 1 mg/dL (OR, 1.05; 95% CI, 1.01 to 1.09)(Table 5).
In Korea, the prevalence of hypertension has been reported 24.9% for adults over 30 years of age [3]. But, masked hypertension has been excluded because diagnostic procedures of hypertension were usually made according to clinic BP in most studies.
In the present study, the frequency of masked hypertension was as high as 25.6%, even in young healthy subjects. This is in agreement with the results of a previous study, in which the frequency of masked hypertension was reported to be 28.3% among subjects of precision inspection of BP in one Korean hospital [10]. The prevalence of masked hypertension has been reported to occur in about 9-24% of cases in studies conducted outside of Korea [7-9,13,17]. In our study, we defined hypertension as mean daytime 24-hour ambulatory BP over 135/85 mmHg, and therefore, there is a potential for controversy because the standard definition of hypertension is mean daytime BP of 130/80-135/85mmHg. Such definitions vary between studies.
In addition, as self measurement sphygmomanometers become more common, self or home BP has been providing inexpensive information for masked hypertension in many studies. But, it has been reported that most people do not understand how to take accurate BP measurements themselves [18]. Au contraire, the use of 24-hour ambulatory BP monitoring has numerous advantages over clinic BP or self-measurement BP. Data reflecting continuous changes in BP may be collected while subjects carry on with their daily activities and are not affected by observer error [19]. In addition, it can enable to monitor presence or absence of nocturnal BP dip to predict patient prognosis [20].
Clinic or office BP measurements are often subject to the white-coat effect, which was first reported by Mancia et al. [21] in 1987. The prevalence of white-coat hypertension differ between studies, and range between 20-75% [22-24]. In the present study, the frequency of white-coat hypertension was 2.5%, and relatively low than previous studies. But, we believe that the discrepancy between our study and previous studies may be explained by the fact that most prior studies were performed in elderly hospital patients who were considered to have hypertension.
Masked hypertension-related factors, such as current smoking, drinking, obesity, male gender, family history of hypertension, diabetes, hypertension medication, and high clinic or office BP values, have been reported [25,26]. But, in other study, no difference in frequency between treated and untreated patients have been reported [7]. And younger people who have more physical activity will tend to have higher daytime BP [27]. In Korea, one study among subjects of precision inspection of BP at one hospital, it was reported that of the possible related factors, current smoking was the only significant factor [10]. Risk factors associated with masked hypertension were increased in this study in subjects with high normal clinic or office BP compared to subjects with normal BP, in males, in younger subjects, in smokers, and when cholesterol levels were higher.
We did not detect any associations between masked hypertension and alcohol use, probably because 94.2% of the subjects reported using alcohol.
We found that occupational stress was not associated with masked hypertension in this study. Some previous studies have reported that the associations between masked hypertension and cardiovascular disease remains unclear [28,29], while others have reported cases of induced cardiovascular disease in the context of physiological reactions, such as increases in BP and hormones due to occupational stress [30]. Further prospective studies for the exploration of any causal relationships are warranted.
Fasting blood sugar and BMI, waist measurement, and liver function tests revealed significant differences in univariate analysis; however, there were no significant associations in logistic regression analysis.
We are unaware of any previous studies of cardiovascular disease in Korea comparing subjects with masked hypertension, normotension, and sustained hypertension. However, it has been reported that cases of atherosclerosis, which progresses without symptoms during the early disease period and often develops into myocardial infarction or cardiac arrest, can be predicted during the early disease period by tests that identify structural and functional changes of the artery, such as intimal-medial thickness of the carotid artery (cIMT) and pulse wave velocity (PWV) [31,32]. We hypothesized that it is possible to compare subjects with masked hypertension, normotension, and sustained hypertension.
This study has the following limitations. First, hypertension was diagnosed when the mean 24-hour ambulatory daytime BP was 135/85 mmHg or greater, but this definition may be controversial. Second, the number of patients with hypertension in our sample may have been under diagnosed by mean 24-hour ambulatory daytime BP, such that we could not evaluate any organ damage related to changes in daytime BP and whether or not BP decreased during the night. This shortcoming may be remedied by collecting follow-up measurements. Third, the number of subjects included in the present study was small, and our sample was relatively young. Follow-up studies or supplementation through large-scale community surveys are warranted.
We observed a rate of masked hypertension of 25.6% among the healthy young workers included in this study. In cases that changes in clinic BP are variable, it would be beneficial to make early diagnoses by measurement of 24-hour ambulatory BP in order to initiate interventions, such as consultations with cardiologists for evaluation of the heart, or initiation of efforts to stop smoking. Identification of the prevalence rate and risk factors of masked hypertension in communities is of great importance for the prevention and management of cardiovascular diseases.
This work was supported by the Korea Research Foundation Grant funded by the Korean Government (KRF-2008-331-E00082).

The authors have no conflicts of interest with the material presented in this paper.

This article is available at http://jpmph.org/.

  • 1. Korea National Statistical Office. Death and the cause of death statistics in 2008. 2009. Daejeon: Korea National Statistical Office; (Korean)
  • 2. Jee SH, Suh I, Kim IS, Appel LJ. Smoking and atherosclerotic cardiovascular disease in men with low levels of serum cholesterol: the Korea Medical Insurance Corporation Study. JAMA 1999;282(22):2149-2155. 10591337ArticlePubMed
  • 3. Korea Centers for Disease Control and Prevention. The Third Korea National Health and Nutrition Examination Survey, 2007. 2008. Seoul: Ministry for Health, Welfare and Family Affairs; (Korean)
  • 4. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, et al. The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. JAMA 2003;289(19):2560-2572. 12748199ArticlePubMed
  • 5. Mancia G, De Backer G, Dominiczak A, Cifkova R, Fagard R, Germano G, et al. 2007 Guidelines for the Management of Arterial Hypertension: The Task Force for the Management of Arterial Hypertension of the European Society of Hypertension (ESH) and of the European Society of Cardiology (ESC). J Hypertens 2007;25(6):1105-1187. 17563527ArticlePubMed
  • 6. Devereux RB, Pickering TG. In: O'Brien E, O'Malley K, editors. Ambulatory blood pressure in assessing the cardiac impact and prognosis of hypertension. Blood pressure measurement. 1991. Amsterdam: Elsevier; p. 261-285
  • 7. Bobrie G, Chatellier G, Genes N, Clerson P, Vaur L, Vaisse B, et al. Cardiovascular prognosis of "masked hypertension" detected by blood pressure self-measurement in elderly treated hypertensive patients. JAMA 2004;291(11):1342-1349. 15026401ArticlePubMed
  • 8. Sega R, Trocino G, Lanzarotti A, Carugo S, Cesana G, Schiavina R, et al. Alterations of cardiac structure in patients with isolated office, ambulatory, or home hypertension: Data from the general population (Pressione Arteriose Monitorate E Loro Associazioni [PAMELA] Study). Circulation 2001;104(12):1385-1392. 11560854ArticlePubMed
  • 9. Selenta C, Hogan BE, Linden W. How often do office blood pressure measurements fail to identify true hypertension? An exploration of white-coat normotension. Arch Fam Med 2000;9(6):533-540. 10862216ArticlePubMed
  • 10. Ga H, Pyoun HY, Koh HJ, Choi JH, Kim SR, Han JS. The frequency and related factors of masked hypertension among volunteers. J Korean Acad Fam Med 2007;28(1):24-31. (Korean)
  • 11. Tomiyama M, Horio T, Yoshii M, Takiuchi S, Kamide K, Nakamura S, et al. Masked hypertension and target organ damage in treated hypertensive patients. Am J Hypertens 2006;19(9):880-886. 16942927ArticlePubMed
  • 12. Hwang ES, Choi KJ, Kang DH, Nam GB, Jang JS, Jeong YH, et al. Prevalence, predictive factor, and clinical significance of white-coat hypertension and masked hypertension in Korean hypertensive patients. Korean J Intern Med 2007;22(4):256-262. 18309684ArticlePubMedPMC
  • 13. Liu JE, Roman MJ, Pini R, Schwartz JE, Pickering TG, Devereux RB. Cardiac and arterial target organ damage in adults with elevated ambulatory and normal office blood pressure. Ann Intern Med 1999;131(8):564-572. 10523216ArticlePubMed
  • 14. Obara T, Ohkubo T, Funahashi J, Kikuya M, Asayama K, Metoki H, et al. Isolated uncontrolled hypertension at home and in the office among treated hypertensive patients from the J-HOME study. J Hypertens 2005;23(9):1653-1660. 16093909ArticlePubMed
  • 15. Chang SJ, Koh SB, Kang D, Kim SA, Kang MG, Lee CG, et al. Developing an occupational stress scale for Korean employees. Korean J Occup Environ Med 2005;17(4):297-317. (Korean)ArticlePDF
  • 16. Imai Y, Nihei M, Abe K, Sasaki S, Minami N, Munakata M, et al. A finger volume-oscillometric device for monitoring ambulatory blood pressure: laboratory and clinical evaluations. Clin Exp Hypertens A 1987;9(12):2001-2025. 3436078ArticlePubMed
  • 17. Imai Y, Tsuji I, Nagai K, Sakuma M, Ohkubo T, Watanabe N, et al. Ambulatory blood pressure monitoring in evaluating the prevalence of hypertension in adults in Ohasama, a rural Japanese community. Hypertens Res 1996;19(3):207-212. 8891750ArticlePubMed
  • 18. Lee DR, Bae WK, Park SM, Chang YJ, Kim KN, Cho BL. The self blood pressure measurement by hypertensive patients: a patient survey. J Korean Acad Fam Med 2003;24(1):45-50. (Korean)
  • 19. Palatini P, Penzo M, Racioppa A, Zugno E, Guzzardi G, Anaclerio M, et al. Clinical relevance of nighttime blood pressure and of daytime blood pressure variability. Arch Intern Med 1992;152(9):1855-1860. 1387782ArticlePubMed
  • 20. Lee SM, Kang HS, Song JS, Kang KE, Choe CW, Kim KS, et al. Study of 24 hour ambulatory blood pressure monitoring in acute stroke patients. Korean Circ J 1999;29(11):1212-1218. (Korean)Article
  • 21. Mancia G, Parati G, Pomidossi G, Grassi G, Casadei R, Zanchetti A. Alerting reaction and rise in blood pressure during measurement by physician and nurse. Hypertension 1987;9(2):209-215. 3818018ArticlePubMed
  • 22. Park JB, Shin HH, Choi SK. Determinants of white coat effect in essential hypertension. Korean Circ J 1998;28(7):1168-1175. (Korean)Article
  • 23. Pierdomenico SD, Mezzetti A, Lapenna D, Guglielmi MD, Mancini M, Salvatore L, et al. "White-coat" hypertension in patients with newly diagnosed hypertension: evaluation of prevalence by ambulatory monitoring and impact on cost of health care. Eur Heart J 1995;16(5):692-697. 7588903ArticlePubMed
  • 24. Staessen JA, Fagard RH, Lijnen PJ, Thijs L, Van Hoof R, Amery AK. Mean and range of the ambulatory pressure in normotensive subjects from a meta-analysis of 23 studies. Am J Cardiol 1991;67(8):723-727. 1826069ArticlePubMed
  • 25. O'Brien E, Asmar R, Beilin L, Imai Y, Mallion JM, Mancia G, et al. European Society of Hypertension recommendations for conventional, ambulatory and home blood pressure measurement. J Hypertens 2003;21(5):821-848. 12714851ArticlePubMed
  • 26. Mancia G. Reversed white-coat hypertension: definition, mechanisms and prognostic implications. J Hypertens 2002;20(4):579-581. 11910284ArticlePubMed
  • 27. Ben-Dov IZ, Ben-Arie L, Mekler J, Bursztyn M. In clinical practice, masked hypertension is as common as isolated clinic hypertension: predominance of younger men. Am J Hypertens 2005;18(5 Pt 1):589-593. 15882539ArticlePubMed
  • 28. Kuper H, Adami HO, Theorell T, Weiderpass E. Psychosocial determinants of coronary heart disease in middle-aged women: a prospective study in Sweden. Am J Epidemiol 2006;164(4):349-357. 16787994ArticlePubMed
  • 29. De Bacquer D, Pelfrene E, Clays E, Mak R, Moreau M, de Smet P, et al. Perceived job stress and incidence of coronary events: 3-year follow-up of the Belgian Job Stress Project cohort. Am J Epidemiol 2005;161(5):434-441. 15718479ArticlePubMed
  • 30. Guimont C, Brisson C, Dagenais GR, Milot A, Vézina M, Mâsse B, et al. Effects of job strain on blood pressure: a prospective study of male and female white-collar workers. Am J Public Health 2006;96(8):1436-1443. 16809603ArticlePubMedPMC
  • 31. Safar ME, Levy BI, Struijker-Boudier H. Current perspectives on arterial stiffness and pulse pressure in hypertension and cardiovascular diseases. Circulation 2003;107(22):2864-2869. 12796414ArticlePubMed
  • 32. Simons PC, Algra A, Bots ML, Grobbee DE, van der Graaf Y. Common carotid intima-media thickness and arterial stiffness: indicators of cardiovascular risk in high-risk patients. The SMART Study (Second Manifestations of ARTerial disease). Circulation 1999;100(9):951-957. 10468526ArticlePubMed
Figure 1
Classification by ambulatory blood pressure and clinic blood pressure.
jpmph-44-131-g001.jpg
Table 1.
Characteristics of subjects according to gender
Variable Total
Male
Female
p-value
n = 121 (%) n = 87 (%) n = 34 (%)
Age (y)(mean ± SD)1 35.1 ± 9.3 37.3 ± 8.0 29.4 ± 10.0 < 0.001
Age (y)
 20 - 29 36 (29.8) 11 (12.6) 25 (73.5) < 0.001
 30 - 39 52 (43.0) 47 (54.0) 5 (14.7)
 40 - 49 23 (19.0) 23 (26.4) 0 (0.0)
 50 - 59 10 (8.3) 6 (6.9) 4 (11.8)
Marital status (yes) 76 (62.8) 67 (77.0) 09 (26.5) < 0.001
Education2
 High school graduate or lower 16 (13.2) 12 (13.8) 4 (3.3) 0.599
 College graduate 67 (55.4) 50 (57.5) 17 (50.0)
 University or higher 38 (31.4) 25 (28.7) 13 (38.2)
Smoking (current smoker) 47 (38.8) 44 (50.6) 03 (8.8) < 0.001
Alcohol use (yes)2 113 (93.4) 84 (96.6) 29 (85.3) 0.039
Regular exercise (yes) 44 (36.4) 36 (41.4) 08 (23.5) 0.067
Chronic disease (yes)2 20 (16.5) 17 (19.5) 03 (8.8) 0.159
 Hypertension (yes)2 14 (11.6) 12 (13.8) 2 (5.9) 0.345
Under medication of HTN (yes)2 04 (3.3)0 03 (3.4) 01 (2.9) 1.000
Self-assessed health2
 Fair 36 (29.8) 28 (32.1) 8 (23.5) 0.063
 Moderate 76 (62.8) 50 (57.5) 26 (76.5)
 Poor 9 (7.4) 9 (10.3) 0 (0.0)
Division of work
 Frontoffice division 39 (32.2) 33 (37.9) 6 (17.6) < 0.005
 Housekeeping division 25 (20.7) 14 (16.1) 11 (32.4)
 Food and beverage division 57 (47.1) 40 (46.0) 17 (50.0)
Type of work (full time) 95 (84.8) 67 (84.8) 28 (84.8) 0.996
Work shift (day duty) 67 (56.3) 53 (61.6) 14 (42.4) 0.059
Job stress (high) 64 (52.9) 47 (54.0) 17 (50.0) 0.690

SD: standard deviation, HTN: hypertension.

p test-values are calculated by chi-square test.

1 p-value is calculated by t-test.

2 p-value is calculated by Fisher’s exact.

Table 2.
Frequency of hypertension according to BP measurement method
Characteristics Clinic BP
Ambulatory BP
p-value
HTN SBP HTN DBP HTN HTN SBP HTN DBP HTN


n (%) n (%) n (%) n (%) n (%) n (%)
Age (y)
 20 - 29 4 (11.1) 3 (8.3) 1 (2.8) 12 (33.3) 11 (30.6) 9 (25.0) < 0.05
 30 - 39 19 (36.5) 17 (32.7) 7 (13.5) 32 (61.5) 29 (55.8) 29 (55.8) < 0.05
 40 - 49 9 (39.1) 7 (30.4) 7 (30.4) 15 (65.2) 12 (52.2) 14 (60.9) 0.077
 50 - 591 5 (50.0) 5 (50.0) 4 (40.0) 6 (60.0) 5 (50.0) 5 (50.0) 1.000

Total 37 (30.6) 32 (26.4) 19 (15.7) 65 (53.7) 57 (47.1) 57 (47.1) 0.000

BP: blood pressure, SBP: systolic blood pressure, DBP: diastolic blood pressure, HTN: hypertension.

p-values are calculated by chi-square test.

1 p-value is calculated by Fisher’s exact test.

Table 3.
Characteristics differentiating between true normotension and masked hypertension
Variable Total
True normotension
Masked hypertension
p-value
n = 84 (%) n = 53 (%) n = 31 (%)
Gender (male) 53 (63.1) 26 (49.1) 27 (87.1) < 0.001
Age (y)(mean ± SD)1 33.1 ± 9.7 33.1 ± 9.7 34.5 ± 7.8 0.502
Age (y)
 20 - 29 32 (38.1) 23 (43.4) 9 (29.0) 0.443
 30 - 39 33 (39.3) 18 (34.0) 15 (48.4)
 40 - 49 14 (16.7) 8 (15.1) 6 (19.4)
 50 - 59 5 (5.9) 4 (7.5) 1 (3.2)
Marital status (yes) 36 (42.9) 26 (49.1) 10 (32.3) 0.133
Education† 78 (92.9) 47 (88.7) 31 (100.0) 0.420
 High school graduate or lower 7 (8.3) 3 (5.7) 4 (12.9)
 College graduate 51 (60.7) 31 (58.5) 20 (64.5)
 University or higher 24 (28.6) 17 (32.1) 7 (22.6)
Smoking (current smoker) 27 (32.1) 12 (22.6) 15 (48.4) < 0.05
Alcohol use (yes)2 78 (92.9) 47 (88.7) 31 (100.0) 0.080
Regular exercise (yes) 28 (33.3) 17 (32.1) 11 (35.5) 0.749
Chronic disease (yes)2 9 (10.7) 3 (5.7) 6 (19.4) 0.070
Self-assessed health2
 Fair 24 (28.6) 14 (26.4) 10 (32.3) 0.872
 Moderate 54 (64.3) 35 (66.0) 19 (61.3)
 Poor 6 (7.1) 4 (7.6) 2 (6.4)
Division of work
 Frontoffice division 23 (27.4) 13 (24.5) 10 (32.3) 0.511
 Housekeeping division 19 (22.6) 14 (26.4) 5 (16.1)
 Food and beverage division 42 (50.0) 26 (49.1) 16 (51.6)
Type of work (full time) 65 (83.3) 43 (86.0) 22 (78.6) 0.528
Work shift (day duty) 42 (50.6) 22 (42.3) 20 (64.5) 0.050
Job stress (high) 39 (46.4) 24 (44.3) 15 (48.4) 0.783

SD: standard deviation.

p-values are calculated by chi-square test.

1 p-value is calculated by t-test.

2 p-value is calculated by Fisher’s exact test.

Table 4.
Comparison of clinical and biochemical characteristics between subjects with true normotension and masked hypertension
Characteristics Total
True normotension
Masked hypertension
p-value
mean ± SD mean ± SD mean ± SD
24h-ambulatory SBP 129.6 ± 11.3 122.9 ± 6.3 141.1 ± 8.2 < 0.001
24h-ambulatory DBP 82.5 ± 8.3 77.8 ± 5.2 90.4 ± 6.4 < 0.001
Clinic SBP 120.0 ± 10.8 116.4 ± 10.6 126.1 ± 8.2 < 0.001
Clinic DBP 72.0 ± 7.8 69.0 ± 7.1 77.0 ± 6.3 < 0.001
Waist circumference 78.1 ± 8.0 75.5 ± 7.4 82.3 ± 7.5 < 0.001
BMI (kg/m2) 21.8 ± 2.8 21.0 ± 2.6 23.0 ± 2.7 < 0.005
Cholesterol (mg/dL) 187.9 ± 31.3 178.9 ± 25.2 202.4 ± 35.0 < 0.005
HDL (mg/dl) 55.0 ± 15.0 58.3 ± 13.6 49.9 ± 15.9 < 0.05
Triglyceride (mg/dL) 118.6 ± 73.2 97.7 ± 46.3 151.5 ± 94.1 < 0.01
LDL (mg/dL) 107.9 ± 30.6 98.5 ± 23.1 123.9 ± 35.4 < 0.005
FBS (mg/dl) 81.6 ± 9.5 82.1 ± 9.6 80.7 ± 9.3 0.510
GOT (U/L) 20.4 ± 6.6 19.2 ± 3.8 22.3 ± 9.4 0.087
GPT (U/L) 17.8 ± 15.2 14.4 ± 6.3 23.6 ± 22.7 < 0.05
γ-GTP (U/L) 22.3 ± 24.9 17.2 ± 10.1 30.6 ± 37.4 0.065
Stress score 47.5 ± 6.9 46.8 ± 6.7 48.9 ± 7.1 0.163

SBP: systolic blood pressure, DBP: diastolic blood pressure, BMI: body mass index, HDL: high density lipoprotein, LDL: low density lipoprotein, FBS: fasting glucose, SD: standard deviation.

p-value is calculated by t-test.

Table 5.
Related factors of masked hypertension by multiple logistic regression analysis1
Variable All (male and female)
Male alone
MHT (n = 31) / NT(n = 53)
MHT (n = 27) / NT (n = 26)
OR (95% CI) OR (95% CI)
Gender (reference, female) 10.70 (1.41 - 81.09)
Age (y) 0.88 (0.78 - 0.99) 0.90 (0.79 - 1.02)
Clinic BP (mmHg)(reference < 120 and < 80)
 120-129 / 80-84 8.42 (1.51 - 46.82) 15.07 (1.55 - 146.19)
 130-139 / 85-89 12.14 (1.80 - 81.85) 17.16 (1.56 - 189.45)
Total cholesterol (mg/dL) 1.05 (1.02 - 1.08) 1.05 (1.01 - 1.09)
Smoking (reference, no smoking) 5.51 (1.15 - 26.54) 11.61 (1.52 - 88.62)

MHT: masked hypertension, NT: true normotension, OR: odd ratio, CI: confidence interval, BP: blood pressure.

1 Analysis in female alone was excluded by reasons of a few cases of masked hypertension.

Figure & Data

References

    Citations

    Citations to this article as recorded by  
    • Does This Adult Patient Have Hypertension?
      Anthony J. Viera, Yuichiro Yano, Feng-Chang Lin, David L. Simel, Jonathan Yun, Gaurav Dave, Ann Von Holle, Laura A. Viera, Daichi Shimbo, Shakia T. Hardy, Katrina E. Donahue, Alan Hinderliter, Christiane E. Voisin, Daniel E. Jonas
      JAMA.2021; 326(4): 339.     CrossRef
    • Prevalence and determinants of masked hypertension among obese individuals at the Yaoundé Central Hospital: a cross-sectional study in sub-Saharan Africa
      Bâ Hamadou, Sylvie Ndongo Amougou, Yolande Tchuendem, Chris Nadège Nganou-Gnindjio, Liliane Mfeukeu-Kuate, Audrey Joyce Foka, Aurel T. Tankeu, Ahmadou Musa Jingi, Alain Patrick Menanga, Samuel Kingue
      Blood Pressure Monitoring.2020; 25(4): 212.     CrossRef
    • Frequency of masked hypertension and its relation to target organ damage in the heart
      Abdulsalam Mahmoud Algamal
      The Egyptian Heart Journal.2016; 68(1): 53.     CrossRef
    • Relationship between epistaxis and hypertension: A cause and effect or coincidence?
      Nabil Abdulghany Sarhan, Abdulsalam Mahmoud Algamal
      Journal of the Saudi Heart Association.2015; 27(2): 79.     CrossRef
    • Blood pressure variability over 24 h: prognostic implications and treatment perspectives. An assessment using the smoothness index with telmisartan–amlodipine monotherapy and combination
      Gianfranco Parati, Helmut Schumacher
      Hypertension Research.2014; 37(3): 187.     CrossRef

    Figure
    • 0
    Frequency and Related Factors of Masked Hypertension at a Worksite in Korea
    Image
    Figure 1 Classification by ambulatory blood pressure and clinic blood pressure.
    Frequency and Related Factors of Masked Hypertension at a Worksite in Korea
    Variable Total
    Male
    Female
    p-value
    n = 121 (%) n = 87 (%) n = 34 (%)
    Age (y)(mean ± SD)1 35.1 ± 9.3 37.3 ± 8.0 29.4 ± 10.0 < 0.001
    Age (y)
     20 - 29 36 (29.8) 11 (12.6) 25 (73.5) < 0.001
     30 - 39 52 (43.0) 47 (54.0) 5 (14.7)
     40 - 49 23 (19.0) 23 (26.4) 0 (0.0)
     50 - 59 10 (8.3) 6 (6.9) 4 (11.8)
    Marital status (yes) 76 (62.8) 67 (77.0) 09 (26.5) < 0.001
    Education2
     High school graduate or lower 16 (13.2) 12 (13.8) 4 (3.3) 0.599
     College graduate 67 (55.4) 50 (57.5) 17 (50.0)
     University or higher 38 (31.4) 25 (28.7) 13 (38.2)
    Smoking (current smoker) 47 (38.8) 44 (50.6) 03 (8.8) < 0.001
    Alcohol use (yes)2 113 (93.4) 84 (96.6) 29 (85.3) 0.039
    Regular exercise (yes) 44 (36.4) 36 (41.4) 08 (23.5) 0.067
    Chronic disease (yes)2 20 (16.5) 17 (19.5) 03 (8.8) 0.159
     Hypertension (yes)2 14 (11.6) 12 (13.8) 2 (5.9) 0.345
    Under medication of HTN (yes)2 04 (3.3)0 03 (3.4) 01 (2.9) 1.000
    Self-assessed health2
     Fair 36 (29.8) 28 (32.1) 8 (23.5) 0.063
     Moderate 76 (62.8) 50 (57.5) 26 (76.5)
     Poor 9 (7.4) 9 (10.3) 0 (0.0)
    Division of work
     Frontoffice division 39 (32.2) 33 (37.9) 6 (17.6) < 0.005
     Housekeeping division 25 (20.7) 14 (16.1) 11 (32.4)
     Food and beverage division 57 (47.1) 40 (46.0) 17 (50.0)
    Type of work (full time) 95 (84.8) 67 (84.8) 28 (84.8) 0.996
    Work shift (day duty) 67 (56.3) 53 (61.6) 14 (42.4) 0.059
    Job stress (high) 64 (52.9) 47 (54.0) 17 (50.0) 0.690
    Characteristics Clinic BP
    Ambulatory BP
    p-value
    HTN SBP HTN DBP HTN HTN SBP HTN DBP HTN


    n (%) n (%) n (%) n (%) n (%) n (%)
    Age (y)
     20 - 29 4 (11.1) 3 (8.3) 1 (2.8) 12 (33.3) 11 (30.6) 9 (25.0) < 0.05
     30 - 39 19 (36.5) 17 (32.7) 7 (13.5) 32 (61.5) 29 (55.8) 29 (55.8) < 0.05
     40 - 49 9 (39.1) 7 (30.4) 7 (30.4) 15 (65.2) 12 (52.2) 14 (60.9) 0.077
     50 - 591 5 (50.0) 5 (50.0) 4 (40.0) 6 (60.0) 5 (50.0) 5 (50.0) 1.000

    Total 37 (30.6) 32 (26.4) 19 (15.7) 65 (53.7) 57 (47.1) 57 (47.1) 0.000
    Variable Total
    True normotension
    Masked hypertension
    p-value
    n = 84 (%) n = 53 (%) n = 31 (%)
    Gender (male) 53 (63.1) 26 (49.1) 27 (87.1) < 0.001
    Age (y)(mean ± SD)1 33.1 ± 9.7 33.1 ± 9.7 34.5 ± 7.8 0.502
    Age (y)
     20 - 29 32 (38.1) 23 (43.4) 9 (29.0) 0.443
     30 - 39 33 (39.3) 18 (34.0) 15 (48.4)
     40 - 49 14 (16.7) 8 (15.1) 6 (19.4)
     50 - 59 5 (5.9) 4 (7.5) 1 (3.2)
    Marital status (yes) 36 (42.9) 26 (49.1) 10 (32.3) 0.133
    Education† 78 (92.9) 47 (88.7) 31 (100.0) 0.420
     High school graduate or lower 7 (8.3) 3 (5.7) 4 (12.9)
     College graduate 51 (60.7) 31 (58.5) 20 (64.5)
     University or higher 24 (28.6) 17 (32.1) 7 (22.6)
    Smoking (current smoker) 27 (32.1) 12 (22.6) 15 (48.4) < 0.05
    Alcohol use (yes)2 78 (92.9) 47 (88.7) 31 (100.0) 0.080
    Regular exercise (yes) 28 (33.3) 17 (32.1) 11 (35.5) 0.749
    Chronic disease (yes)2 9 (10.7) 3 (5.7) 6 (19.4) 0.070
    Self-assessed health2
     Fair 24 (28.6) 14 (26.4) 10 (32.3) 0.872
     Moderate 54 (64.3) 35 (66.0) 19 (61.3)
     Poor 6 (7.1) 4 (7.6) 2 (6.4)
    Division of work
     Frontoffice division 23 (27.4) 13 (24.5) 10 (32.3) 0.511
     Housekeeping division 19 (22.6) 14 (26.4) 5 (16.1)
     Food and beverage division 42 (50.0) 26 (49.1) 16 (51.6)
    Type of work (full time) 65 (83.3) 43 (86.0) 22 (78.6) 0.528
    Work shift (day duty) 42 (50.6) 22 (42.3) 20 (64.5) 0.050
    Job stress (high) 39 (46.4) 24 (44.3) 15 (48.4) 0.783
    Characteristics Total
    True normotension
    Masked hypertension
    p-value
    mean ± SD mean ± SD mean ± SD
    24h-ambulatory SBP 129.6 ± 11.3 122.9 ± 6.3 141.1 ± 8.2 < 0.001
    24h-ambulatory DBP 82.5 ± 8.3 77.8 ± 5.2 90.4 ± 6.4 < 0.001
    Clinic SBP 120.0 ± 10.8 116.4 ± 10.6 126.1 ± 8.2 < 0.001
    Clinic DBP 72.0 ± 7.8 69.0 ± 7.1 77.0 ± 6.3 < 0.001
    Waist circumference 78.1 ± 8.0 75.5 ± 7.4 82.3 ± 7.5 < 0.001
    BMI (kg/m2) 21.8 ± 2.8 21.0 ± 2.6 23.0 ± 2.7 < 0.005
    Cholesterol (mg/dL) 187.9 ± 31.3 178.9 ± 25.2 202.4 ± 35.0 < 0.005
    HDL (mg/dl) 55.0 ± 15.0 58.3 ± 13.6 49.9 ± 15.9 < 0.05
    Triglyceride (mg/dL) 118.6 ± 73.2 97.7 ± 46.3 151.5 ± 94.1 < 0.01
    LDL (mg/dL) 107.9 ± 30.6 98.5 ± 23.1 123.9 ± 35.4 < 0.005
    FBS (mg/dl) 81.6 ± 9.5 82.1 ± 9.6 80.7 ± 9.3 0.510
    GOT (U/L) 20.4 ± 6.6 19.2 ± 3.8 22.3 ± 9.4 0.087
    GPT (U/L) 17.8 ± 15.2 14.4 ± 6.3 23.6 ± 22.7 < 0.05
    γ-GTP (U/L) 22.3 ± 24.9 17.2 ± 10.1 30.6 ± 37.4 0.065
    Stress score 47.5 ± 6.9 46.8 ± 6.7 48.9 ± 7.1 0.163
    Variable All (male and female)
    Male alone
    MHT (n = 31) / NT(n = 53)
    MHT (n = 27) / NT (n = 26)
    OR (95% CI) OR (95% CI)
    Gender (reference, female) 10.70 (1.41 - 81.09)
    Age (y) 0.88 (0.78 - 0.99) 0.90 (0.79 - 1.02)
    Clinic BP (mmHg)(reference < 120 and < 80)
     120-129 / 80-84 8.42 (1.51 - 46.82) 15.07 (1.55 - 146.19)
     130-139 / 85-89 12.14 (1.80 - 81.85) 17.16 (1.56 - 189.45)
    Total cholesterol (mg/dL) 1.05 (1.02 - 1.08) 1.05 (1.01 - 1.09)
    Smoking (reference, no smoking) 5.51 (1.15 - 26.54) 11.61 (1.52 - 88.62)
    Table 1. Characteristics of subjects according to gender

    SD: standard deviation, HTN: hypertension.

    p test-values are calculated by chi-square test.

    p-value is calculated by t-test.

    p-value is calculated by Fisher’s exact.

    Table 2. Frequency of hypertension according to BP measurement method

    BP: blood pressure, SBP: systolic blood pressure, DBP: diastolic blood pressure, HTN: hypertension.

    p-values are calculated by chi-square test.

    p-value is calculated by Fisher’s exact test.

    Table 3. Characteristics differentiating between true normotension and masked hypertension

    SD: standard deviation.

    p-values are calculated by chi-square test.

    p-value is calculated by t-test.

    p-value is calculated by Fisher’s exact test.

    Table 4. Comparison of clinical and biochemical characteristics between subjects with true normotension and masked hypertension

    SBP: systolic blood pressure, DBP: diastolic blood pressure, BMI: body mass index, HDL: high density lipoprotein, LDL: low density lipoprotein, FBS: fasting glucose, SD: standard deviation.

    p-value is calculated by t-test.

    Table 5. Related factors of masked hypertension by multiple logistic regression analysis1

    MHT: masked hypertension, NT: true normotension, OR: odd ratio, CI: confidence interval, BP: blood pressure.

    Analysis in female alone was excluded by reasons of a few cases of masked hypertension.


    JPMPH : Journal of Preventive Medicine and Public Health
    TOP