• We are sorry, but NCBI web applications do not support your browser and may not function properly. More information
Logo of thijCurrent IssueSee also Cardiovascular Diseases Journal in PMCSubscribeSubmissionsTHI Journal Website
Tex Heart Inst J. 2011; 38(6): 643–652.
PMCID: PMC3233334


A Meta-Analysis of the Epidemiology, Risk Factors, and Predictors of Progression
Xiaofan Guo, MD, Liling Zou, MD, Xingang Zhang, MD, Jue Li, MD, Liqiang Zheng, MD, Zhaoqing Sun, MD, Jian Hu, MD, Nathan D. Wong, MD, PhD, and Yingxian Sun, MD, PhD


We investigated the prevalence and risk factors of prehypertension, as well as the predictors of progression from prehypertension to hypertension. To do this, we performed a systematic review and meta-analysis of cross-sectional and longitudinal studies, after unrestricted searches of PubMed and The Cochrane Library through September 2010. In addition, we reviewed references, major textbooks, and review articles. Pooled prevalence, standardized mean differences, and odds ratios were estimated by using a random-effects model.

Twenty-six articles met our inclusion criteria; these included 20 cross-sectional and 6 longitudinal studies, with a total sample of 250,741 individuals. The overall pooled prevalence of prehypertension was 36%. The pooled prevalence among males was higher than that among females (40% vs 33%). The pooled standardized mean difference for body mass index was 1.37 (95% confidence interval [CI], 1.20–1.55); for total cholesterol, 8.08 (95% CI, 6.71–9.46); for low-density-lipoprotein cholesterol, 5.14 (95% CI, 3.09–7.18); and for fasting plasma glucose, 4.23 (95% CI, 3.28–5.18); all of which showed more significant results in females. The pooled odds ratio was 1.13 (95% CI, 0.93–1.37) for smoking and 0.98 (95% CI, 0.69–1.39) for drinking. In addition, factors such as older age at baseline, male sex, Mongolian race, and being overweight or obese were predictors of progression to hypertension, according to descriptive analysis.

The prevalence of prehypertension was relatively high, especially for males. There were many modifiable risk factors associated with prehypertension, to which healthcare providers should pay more attention.

Key words: Adult, blood glucose/analysis, blood pressure, body mass index, cholesterol, HDL/blood, cholesterol, LDL/blood, cross-sectional studies, disease susceptibility, hypertension/diagnosis/epidemiology/etiology/prevention & control, longitudinal studies, meta-analysis, obesity, prehypertension/epidemiology/etiology/prevention & control, prevalence, risk factors, triglycerides/blood, waist circumference

In 2003, the Seventh Report of the Joint National Committee (JNC 7) defined prehypertension as a systolic blood pressure (BP) of 120–139 mmHg or a diastolic BP of 80–89 mmHg in adults 18 years and older.1 Such intentional identification of patients as “prehypertensive” calls needed attention to the excess risk associated with BP in this range and reminds healthcare providers to pay more attention to prevention. Prehypertension seems indeed to be a precursor of hypertension, associated with many adverse outcomes. Vasan and colleagues2 found that the conversion rate of prehypertension to hypertension over 4 years was 30%. Prehypertension is also associated with an increased risk of major cardiovascular-disease events.3 Also, Mullican and associates, in the San Antonio Heart Study,4 showed that a BP of 130–139/85–89 mmHg was associated with diabetes mellitus. The prevalence of prehypertension and its associated risk factors has been investigated worldwide since 2003. Many studies have focused also on the predictors of progression from prehypertension to hypertension. However, the results were controversial, and there was no systematic review and meta-analysis to investigate these issues. Therefore, we performed this study in order to systematically review the findings of all available articles. We then combined the findings that met our criteria, in an effort to examine the prevalence and risk factors of prehypertension and (in longitudinal studies) the predictors of progression to hypertension.


Literature Search Strategy

All relevant studies were identified by searching PubMed and The Cochrane Library through September 2010. These were supplemented by articles cited in these studies, by major textbooks, and by review articles. The key words used in searching were prehypertension, hypertension, prevalence, risk factors, and predictors. The full texts of studies were retained after evaluation. If these did not contain all of the information necessary for meta-analysis, we obtained the missing information directly from the authors. Finally, we divided the studies into 2 groups: cross-sectional studies that reported the epidemiology and risk factors of prehypertension; and longitudinal studies that concerned the predictors of progression from prehypertension to hypertension.

Criteria for Inclusion and Exclusion

We included cross-sectional studies that reported the prevalence and risk factors of prehypertension, together with longitudinal studies that investigated the predictors of progression from prehypertension to hypertension. The research had to be original, and the results had to be written in English or Chinese. We required sufficient information to conduct pooled analysis (that is, pooled prevalence); and we required that hypertension and prehypertension be defined in accordance with the criteria set forth in the 2003 JNC 7 report (that is, hypertension is systolic BP ≥140 mmHg or diastolic BP ≥90 mmHg; and prehypertension is systolic BP of 120–139 mmHg or diastolic BP of 80–89 mmHg).

We excluded studies whose participants were drawn from a particular occupation or population, whose results were already in our compendium, or whose samples were too small (<300). In order to avoid inconsistent outcomes, we excluded studies that used non-JNC 7 standards (for example, those inclusive of “high-normal” BP).

Data Extraction and Quality Assessment

Information such as the year of publication and the length of follow-up was coded in a standard format. Two investigators selected the studies, extracted the data independently, and cross-checked them. Discrepancies were resolved by an additional reviewer and through discussion. The quality of all selected studies was evaluated by 2 reviewers, in accordance with the following criteria: the study sample was representative of the general population; recruitment of the study sample was conducted in an appropriate manner; the response rate was adequate to enable conclusions; and the inclusion and exclusion criteria were appropriate and clear. Unqualified studies were omitted.

Statistical Analysis

Crude prevalence and its standard errors were calculated. Pooled prevalence was estimated by means of the Stata® statistical software package, version 11.0 (StataCorp LP; College Station, Texas), using the “metan” command. Data related to risk factors were entered into RevMan 5.0 software (The Cochrane Collaboration; Oxford, UK) for the meta-analysis, with combined results displayed using SPSS version 17.0 software (IBM Corporation; Somers, NY). Pooled standardized mean differences (SMDs) and odds ratios (ORs) were estimated by using a random-effects model, with 95% confidence intervals (CIs) calculated. Cochrane's χ2 test and the I2 index for heterogeneity were used to evaluate between-study heterogeneity. Statistically significant heterogeneity was considered present at P <0.1 and I2 >50%.5 Subgroup analyses were carried out to investigate between-study heterogeneity, with a focus on sex differences between studies. As a consequence of insufficient data, we performed descriptive analysis on the predictors of progression from prehypertension to hypertension.


The initial database search generated 1,123 papers, 179 of which were retained for further review. After more detailed evaluation, 26 articles6–31 met our inclusion criteria, including 20 cross-sectional6–25 and 6 longitudinal studies.26–31 We included a total sample of 250,741 individuals, consisting of 120,605 men and 130,136 women from 13 countries. Figure 1 provides a diagram of the selection process and reasons for excluding studies. The characteristics of the 26 included studies are summarized in Tables I and II.

figure 8FF1
Fig. 1 Flow chart of the study-selection process.

Epidemiology of Prehypertension

In most of the 20 cross-sectional studies, the age of the sample group ranged between 35 and 60 years. Only 2 studies had a mean age ≥60 years.13,20 Except for 2 studies,14,18 the sexual distributions of the groups were in general balanced, with the male portion at around 40% to 55%. There were extreme differences in the male-to-female ratio across the groups in the studies by Ferguson14 and Chockalingam18 and their respective associates (around 1-to-2 and 3-to-1 male-to-female, respectively). Most of the studies were conducted in East Asia. Maximum (58.7%) and minimum (14.5%) prevalence of prehypertension appeared in the studies by Isezuo and colleagues15 and Erem and associates,23 respectively. The overall pooled prevalence was 36% (Fig. 2). The pooled prevalence for males was higher than that for females (40% vs 33%; data not shown). After removing non-East Asian countries, we found that the pooled prevalence of prehypertension in 11 studies from East Asian countries (China, Japan, and Korea) was 35% (Fig. 3), which was similar to the overall pooled prevalence. However, the findings had substantial heterogeneity (P <0.001), possibly due to confounding effects of differences in age, distribution of subjects, and so on.

figure 8FF2
Fig. 2 Pooled prevalence of prehypertension, according to 20 cross-sectional studies.
figure 8FF3
Fig. 3 Pooled prevalence of prehypertension in East Asia.

Risk Factors for Prehypertension

Body Mass Index and Waist Circumference. Ten papers,9–13,19,20,23,25,31 involving 49,532 people with prehypertension and 37,919 with normotension, reported body mass index (kg/m2) values sorted by sex. The overall pooled SMD was 1.37 (95% CI, 1.20–1.55) (Fig. 4). The heterogeneity was significant (χ2 = 135.74, I2 = 86%). Seven of the included studies11,12,17,19,23,25,31 compared waist circumference between individuals with prehypertension and normotension. For males the pooled SMD was 4.06 (95% CI, 3.30–4.82), while for females it was 4.85 (95% CI, 3.98–5.72) (Fig. 4). The subgroup difference was not significant, with χ2 = 1.07 and I2 = 6.2%.

figure 8FF4
Fig. 4 Pooled standardized mean differences (SMDs) and 95% confidence intervals (CI) of risk factors in males and females.

Dyslipidemia. Ten studies9,10,12,13,17,19,20,23,25,31 reported a variety of lipid outcomes that included levels of total cholesterol, triglycerides, high-density-lipoprotein cholesterol (HDL-C), and low-density-lipoprotein cholesterol (LDL-C). A pooled analysis of triglycerides (mg/dL) was not performed, because the number of studies was insufficient. Total cholesterol values (mg/dL) were available for 48,784 individuals with prehypertension and 56,936 individuals with normotension in 9 different studies.9,10,12,13,19,20,23,25,31 The pooled SMD was 7.17 (95% CI, 5.27–9.06) for males, 9.04 (95% CI, 6.86–11.22) for females, and 8.08 (95% CI, 6.71–9.46) for both (Fig. 4). There was significant heterogeneity (χ2 = 34.13, I2 = 77%). Seven studies10,12,17,20,23,25,31 reported HDL-C values (mg/dL) and 5 studies12,20,23,25,31 reported LDL-C values (mg/dL), separated by sex. The results of meta-analysis are displayed in Figure 4.

Fasting Plasma Glucose. Eight studies9,10,12,13,19,20,23,25 reported fasting plasma glucose (mg/dL) from 48,236 individuals with prehypertension and 36,190 individuals without. The pooled SMD was 2.90 (95% CI, 2.22–3.57) for males, 5.01 (95% CI, 3.64–6.37) for females, and 4.23 (95% CI, 3.28–5.18) for both (Fig. 4). The between-study heterogeneity was significant (χ2 = 17.13, I2 = 94.2%).

Smoking and Drinking. Ten studies6–9,11,13,15,17,18,23 investigated the association between smoking and prehypertension. The pooled OR was 1.13 (95% CI, 0.93–1.37) (Fig. 5). Eight studies6,7,9,11,13,17,18,23 reported drinking status in 16,557 individuals with prehypertension and 11,823 without, but provided conflicting results. The pooled OR was 0.98 (95% CI, 0.69–1.39) (Fig. 6). Pooled analysis showed that the heterogeneity of both smoking and drinking were significant.

figure 8FF5
Fig. 5 Pooled odds ratios and 95% confidence intervals (CI) of smokers.
figure 8FF6
Fig. 6 Pooled odds ratios and 95% confidence intervals (CI) of alcohol drinkers.

Predictors of Progression from Prehypertension to Hypertension. Six articles26–31 provided information on predictors of progression from prehypertension to hypertension. The length of follow-up ranged from around 28 months to 5 years. Meta-analysis could not be performed due to insufficient data. Metabolic factors (for example, lipids) and life habits (for example, smoking) received more attention. Some of the main predictors from these studies are displayed in Table III.

Table thumbnail
Table III. Main Predictors Analyzed by Multiple Logistic Regression or Cox Regression in 6 Longitudinal Studies


Epidemiology of Prehypertension

We found that the prevalence of prehypertension varied in a very wide range across studies. Therefore, a simple meta-analysis to combine the findings of studies would be informative, even using random-effects models. Our study found, on the basis of 20 included studies, that the overall prevalence of prehypertension was 36%. In the analysis of 11 East Asian countries, the pooled prevalence was 35%, indicating the minor influence of geographic distribution in our study. We observed that the pooled prevalence of prehypertension among males (40%) was much higher than that among females (33%), which was similar to the hypertension prevalence observed in a study from Korea (41.5% in men vs 24.5% in women).32 Yet the opposite result was found in the meta-analysis of hypertension in Iran,33 in which the estimated prevalence in men was 1.3% less than that in women. The same conclusion (that more women are hypertensive than men) was reached in other studies as well.34–37 Sexual differences in the distribution of prehypertension and hypertension apparently exist, but they seem to vary from culture to culture, which implies an interaction between social and biological mechanisms. Although many reports33,35,38 have observed a significant correlation between blood pressure and increasing age, we failed to break down the estimated prevalence of prehypertension by age group because our data were insufficient.

Risk Factors for Prehypertension

We found that individuals with prehypertension had higher body mass indices and waist circumferences than did people with normotension; waist circumferences showed greater relative differences. Excess weight, especially obesity, is an established risk factor for hypertension. A meta-analysis of 24 case-control studies in China reported that being overweight was an important risk factor for hypertension, with pooled OR 1.616 (95% CI, 1.600–1.633).39 The consistent effect of being overweight or obese on both prehypertension and hypertension might indicate that these conditions have the same impact on BP. Although the proposed causes of hypertension have been discussed in many studies,40–42 the mechanism remains uncertain. In controlling arterial hypertension, weight reduction has resulted in significant decreases.43,44 It is reasonable to conclude that the same benefits apply to prehypertension.

In our study, another consistency with hypertension was observed: fasting plasma glucose, total cholesterol, and LDL-C were significantly associated with prehypertension, while HDL-C was shown as a protective factor. Recent studies have revealed that LDL-C may reduce endothelium-dependent relaxation,45 thereby leading to greater vasoconstriction. This may explain why individuals with either hypertension or prehypertension have higher LDL-C levels. Coca and colleagues46 reported that 25% of hypertensive women aged ≥55 years had low levels of HDL-C concentration. Akintunde and associates47 also found that dyslipidemia was more common among hypertensive subjects, and that fasting plasma glucose increased as the severity of dyslipidemia increased. In consideration of the analogous findings, it seems that other risk factors and mechanisms for hypertension could be applied to prehypertension. In regard to smoking and drinking, we found their effects on prehypertension to be unclear. Some studies concluded that smoking contributes to hypertension,48,49 while others did not.50 The heterogeneity between studies may result in these uncertain outcomes.

Of interest are our findings that associated risk factors such as body mass index, waist circumference, fasting plasma glucose, total cholesterol, and LDL-C were all more significant in women. This may be related to sex hormones.51,52 However, the pooled prevalence of prehypertension among men was much higher than that among women, indicating the potential of a complex interaction or mechanism.

Predictors of Progression from Prehypertension to Hypertension

Different predictors were observed from 6 studies. Pitsavos and colleagues26 reported that increased age, male sex, low education status, and C-reactive protein were positively associated with the development of hypertension. Waist circumference was found to be an independent predictor in studies both by Pitsavos26 and De Marco and co-authors.27 However, after using a multiple-regression model, Liu and co-investigators29 found that none of the aforementioned factors could independently predict new-onset hypertension during the follow-up period. This discrepancy needs more study for the purpose of clarification. In the Cox stepwise regression analysis by Zheng and colleagues,28 older age at baseline, Mongolian race, alcohol-drinking, being overweight or obese, high salt intake every day, low level of physical activity, and a family history of hypertension were found to be associated with incidence of hypertension. In addition, high levels of anger (as a trait) and high BP levels at baseline were also associated with the development of hypertension.30,31 Some of these factors have formed the basis of interventional studies in which comprehensive lifestyle modification has reduced the progression to hypertension.53–55 However, definite predictors remain unclear. More research on this issue is needed in order to prevent, rather than to treat.

Quality and Variability of Published Studies

To our knowledge, this is the first systematic review and meta-analysis of prehypertension that concerns prevalence and risk factors, as well as the predictors of progression to hypertension. There were few high-quality comparative studies on these issues. Many studies in this review were restricted to small, convenient samples of people with prehypertension, which compromised the investigators' ability to draw broad conclusions from their findings. Some of the included studies failed to mention the survey response rates or their criteria for inclusion and exclusion. The substantial heterogeneity between studies in this review was expected. It can be attributed in part to crude study characteristics (for example, sampling by age, sex, or geographic region—or sampling too few subjects). In addition, the definitions of risk factors were heterogeneous or absent. For example, Tsai and associates11 defined a current smoker as someone who smokes ≥1 pack-year, but Sun and colleagues6 defined a smoker as a person who smokes at least 10 cigarettes every day. Many other studies failed to define current smoker.


Although we attempted to adhere to the guidelines for reporting meta-analyses of observational studies,56 there were several limitations that merit discussion.

First, we included only PubMed and The Cochrane Library in our search; although our literature search was extensive, it was limited to articles published in English and Chinese, which raises the possibility of omissions. Unfortunately, there are no agreed-upon criteria for evaluating the quality of cross-sectional studies (as there are for randomized controlled trials57). Our quality-evaluation method might not have captured all methodological aspects of these studies.

Second, there will have been both inter- and intra-study measurement errors in the ascertainment of BP and other indices.

Third, reliable country-specific estimates and analyses of some other risk factors were not produced, due to insufficient data. Although there was substantial heterogeneity among the included studies, meta-regression was not performed, because our main objective was to identify risk factors or predictors that can be useful to identify patients at increased risk.

In addition, a delay between search and publication was inevitable. Therefore, further evidence might have emerged subsequent to our original search, and the results of the meta-analysis must be interpreted cautiously.

Clinical Implications

Prehypertension was highly prevalent in recent years, especially for males. Many risk factors, including weight, dyslipidemia, and impaired glucose metabolism were observed. Factors such as older age at baseline, male sex, low education status, Mongolian race, and alcohol-drinking were reported to be important predictors of progression to hypertension. Healthcare providers should be aware of which segments of the population are at increased risk for cardiovascular disease and of steps that should be taken to treat modifiable risk factors in these people. Further studies are needed to determine which risk factors are independently associated with prehypertension and to determine which are predictors of progression to hypertension.


Address for reprints: Yingxian Sun, MD, PhD, Department of Cardiology, the First Affiliated Hospital of China Medical University, 155 Nanjing North St., Heping District, Shenyang 110001, PRC

E-mail: nc.moc.oohay@21naixgniynus


1. Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, et al. Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. Hypertension 2003;42(6):1206–52. [PubMed]
2. Vasan RS, Larson MG, Leip EP, Kannel WB, Levy D. Assessment of frequency of progression to hypertension in non-hypertensive participants in the Framingham Heart Study: a cohort study. Lancet 2001;358(9294):1682–6. [PubMed]
3. Lewington S, Clarke R, Qizilbash N, Peto R, Collins R; Prospective Studies Collaboration. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies [published erratum appears in Lancet 2003;361(9362):1060]. Lancet 2002;360(9349):1903–13. [PubMed]
4. Mullican DR, Lorenzo C, Haffner SM. Is prehypertension a risk factor for the development of type 2 diabetes? Diabetes Care 2009;32(10):1870–2. [PMC free article] [PubMed]
5. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med 2002;21(11):1539–58. [PubMed]
6. Sun Z, Zheng L, Wei Y, Li J, Zhang X, Zhang X, et al. Prevalence and risk factors of the rural adult people prehypertension status in Liaoning Province of China. Circ J 2007;71(4):550–3. [PubMed]
7. Ling LL, Zhao JB, Zhao YJ, Fu SY, Wang FM, Yang LT, Dong LH. Prevalence and risk factors of prehypertensive status in people from the rural area of Lanxi county, Heilongjiang province [in Chinese]. Zhonghua Liu Xing Bing Xue Za Zhi 2008;29(10):970–4. [PubMed]
8. Yadav S, Boddula R, Genitta G, Bhatia V, Bansal B, Kongara S, et al. Prevalence & risk factors of pre-hypertension & hypertension in an affluent north Indian population. Indian J Med Res 2008;128(6):712–20. [PubMed]
9. Agyemang C, van Valkengoed I, van den Born BJ, Stronks K. Prevalence and determinants of prehypertension among African Surinamese, Hindustani Surinamese, and White Dutch in Amsterdam, the Netherlands: the SUNSET study. Eur J Cardiovasc Prev Rehabil 2007;14(6):775–81. [PubMed]
10. Ishikawa Y, Ishikawa J, Ishikawa S, Kayaba K, Nakamura Y, Shimada K, et al. Prevalence and determinants of prehypertension in a Japanese general population: the Jichi Medical School Cohort Study. Hypertens Res 2008;31(7):1323–30. [PubMed]
11. Tsai PS, Ke TL, Huang CJ, Tsai JC, Chen PL, Wang SY, Shyu YK. Prevalence and determinants of prehypertension status in the Taiwanese general population. J Hypertens 2005;23(7): 1355–60. [PubMed]
12. Yu D, Huang J, Hu D, Chen J, Cao J, Li J, Gu D. Prevalence and risk factors of prehypertension among Chinese adults. J Cardiovasc Pharmacol 2008;52(4):363–8. [PubMed]
13. Lin SJ, Lee KT, Lin KC, Cheng KH, Tsai WC, Sheu SH, et al. Prevalence of prehypertension and associated risk factors in a rural Taiwanese adult population. Int J Cardiol 2010;144(2): 269–73. [PubMed]
14. Ferguson TS, Younger NO, Tulloch-Reid MK, Wright MB, Ward EM, Ashley DE, Wilks RJ. Prevalence of prehypertension and its relationship to risk factors for cardiovascular disease in Jamaica: analysis from a cross-sectional survey. BMC Cardiovasc Disord 2008;8:20. [PMC free article] [PubMed]
15. Isezuo SA, Sabir AA, Ohwovorilole AE, Fasanmade OA. Prevalence, associated factors and relationship between prehypertension and hypertension: a study of two ethnic African populations in Northern Nigeria. J Hum Hypertens 2011;25 (4):224–30. [PubMed]
16. Agyemang C, Owusu-Dabo E. Prehypertension in the Ashanti region of Ghana, West Africa: an opportunity for early prevention of clinical hypertension. Public Health 2008; 122(1):19–24. [PubMed]
17. Gupta AK, McGlone M, Greenway FL, Johnson WD. Prehypertension in disease-free adults: a marker for an adverse cardiometabolic risk profile. Hypertens Res 2010;33(9):905–10. [PubMed]
18. Chockalingam A, Ganesan N, Venkatesan S, Gnanavelu G, Subramaniam T, Jaganathan V, et al. Patterns and predictors of prehypertension among “healthy” urban adults in India. Angiology 2005;56(5):557–63. [PubMed]
19. Janghorbani M, Amini M, Gouya MM, Delavari A, Alikhani S, Mahdavi A. Nationwide survey of prevalence and risk factors of prehypertension and hypertension in Iranian adults. J Hypertens 2008;26(3):419–26. [PubMed]
20. Kawamoto R, Kohara K, Tabara Y, Miki T. High prevalence of prehypertension is associated with the increased body mass index in community-dwelling Japanese. Tohoku J Exp Med 2008;216(4):353–61. [PubMed]
21. Li H, Xu T, Tong W, Liu Y, Zhao L, Zhang Y. Comparison of cardiovascular risk factors between prehypertension and hypertension in a Mongolian population, Inner Mongolia, China. Circ J 2008;72(10):1666–73. [PubMed]
22. Aekplakorn W, Abbott-Klafter J, Khonputsa P, Tatsanavivat P, Chongsuvivatwong V, Chariyalertsak S, et al. Prevalence and management of prehypertension and hypertension by geographic regions of Thailand: the Third National Health Examination Survey, 2004. J Hypertens 2008;26(2):191–8. [PubMed]
23. Erem C, Hacihasanoglu A, Kocak M, Deger O, Topbas M. Prevalence of prehypertension and hypertension and associated risk factors among Turkish adults: Trabzon Hypertension Study. J Public Health (Oxf) 2009;31(1):47–58. [PubMed]
24. Yang J, Lu F, Zhang C, Liu Z, Zhao Y, Gao F, et al. Prevalence of prehypertension and hypertension in a Chinese rural area from 1991 to 2007. Hypertens Res 2010;33(4):331–7. [PubMed]
25. Choi KM, Park HS, Han JH, Lee JS, Lee J, Ryu OH, et al. Prevalence of prehypertension and hypertension in a Korean population: Korean National Health and Nutrition Survey 2001. J Hypertens 2006;24(8):1515–21. [PubMed]
26. Pitsavos C, Chrysohoou C, Panagiotakos DB, Lentzas Y, Stefanadis C. Abdominal obesity and inflammation predicts hypertension among prehypertensive men and women: the ATTICA Study. Heart Vessels 2008;23(2):96–103. [PubMed]
27. De Marco M, de Simone G, Roman MJ, Chinali M, Lee ET, Russell M, et al. Cardiovascular and metabolic predictors of progression of prehypertension into hypertension: the Strong Heart Study. Hypertension 2009;54(5):974–80. [PMC free article] [PubMed]
28. Zheng L, Sun Z, Zhang X, Xu C, Li J, Hu D, Sun Y. Predictors of progression from prehypertension to hypertension among rural Chinese adults: results from Liaoning Province. Eur J Cardiovasc Prev Rehabil 2010;17(2):217–22. [PubMed]
29. Liu LK, Peng LN, Chen LK, Hwang SJ, Chiou ST. Prehypertension among middle-aged and elderly people in Taiwan: a five-year follow-up. J Atheroscler Thromb 2010;17(2):189–94. [PubMed]
30. Player MS, King DE, Mainous AG 3rd, Geesey ME. Psychosocial factors and progression from prehypertension to hypertension or coronary heart disease. Ann Fam Med 2007;5(5): 403–11. [PMC free article] [PubMed]
31. Jimenez-Corona A, Lopez-Ridaura R, Stern MP, Gonzalez-Villalpando C. Risk of progression to hypertension in a low-income Mexican population with prehypertension and normal blood pressure. Am J Hypertens 2007;20(9):929–36. [PMC free article] [PubMed]
32. Jo I, Ahn Y, Lee J, Shin KR, Lee HK, Shin C. Prevalence, awareness, treatment, control and risk factors of hypertension in Korea: the Ansan study. J Hypertens 2001;19(9):1523–32. [PubMed]
33. Haghdoost AA, Sadeghirad B, Rezazadehkermani M. Epidemiology and heterogeneity of hypertension in Iran: a systematic review. Arch Iran Med 2008;11(4):444–52. [PubMed]
34. Wang Y, Wang QJ. The prevalence of prehypertension and hypertension among US adults according to the new joint national committee guidelines: new challenges of the old problem. Arch Intern Med 2004;164(19):2126–34. [PubMed]
35. van Rossum CT, van de Mheen H, Witteman JC, Hofman A, Mackenbach JP, Grobbee DE. Prevalence, treatment, and control of hypertension by sociodemographic factors among the Dutch elderly. Hypertension 2000;35(3):814–21. [PubMed]
36. Wolf-Maier K, Cooper RS, Banegas JR, Giampaoli S, Hense HW, Joffres M, et al. Hypertension prevalence and blood pressure levels in 6 European countries, Canada, and the United States. JAMA 2003;289(18):2363–9. [PubMed]
37. Efstratopoulos AD, Voyaki SM, Baltas AA, Vratsistas FA, Kirlas DE, Kontoyannis JT, et al. Prevalence, awareness, treatment and control of hypertension in Hellas, Greece: the Hypertension Study in General Practice in Hellas (HYPERTENSHELL) national study. Am J Hypertens 2006;19(1): 53–60. [PubMed]
38. Midha T, Idris MZ, Saran RK, Srivastav AK, Singh SK. Prevalence and determinants of hypertension in the urban and rural population of a north Indian district. East Afr J Public Health 2009;6(3):268–73. [PubMed]
39. Luo L, Luan RS, Yuan P. Meta-analysis of risk factor on hypertension in China [in Chinese]. Zhonghua Liu Xing Bing Xue Za Zhi 2003;24(1):50–3. [PubMed]
40. Enriori PJ, Evans AE, Sinnayah P, Cowley MA. Leptin resistance and obesity. Obesity (Silver Spring) 2006;14 Suppl 5: 254S–258S. [PubMed]
41. Messerli FH, Ventura HO, Reisin E, Dreslinski GR, Dunn FG, MacPhee AA, Frohlich ED. Borderline hypertension and obesity: two prehypertensive states with elevated cardiac output. Circulation 1982;66(1):55–60. [PubMed]
42. Esler MD, Eikelis N, Lambert E, Straznicky N. Neural mechanisms and management of obesity-related hypertension. Curr Cardiol Rep 2008;10(6):456–63. [PubMed]
43. Lavie CJ, Amodeo C, Ventura HO, Messerli FH. Left atrial abnormalities indicating diastolic ventricular dysfunction in cardiopathy of obesity. Chest 1987;92(6):1042–6. [PubMed]
44. Lavie CJ, Milani RV. Obesity and cardiovascular disease: the Hippocrates paradox? J Am Coll Cardiol 2003;42(4):677–9. [PubMed]
45. Zhang Y, Zhang W, Edvinsson L, Xu C-B. Attenuation of endothelium-dependent relaxation in rat mesenteric arteries by ApoB protein of low density lipoprotein, but not cholesterol [abstract]. Hypertension 2008;52(4):768.
46. Coca A, Cea-Calvo L, Lozano JV, Inaraja V, Fernandez-Perez C, Navarro J, et al. High-density lipoprotein cholesterol and cardiovascular disease in Spanish hypertensive women. The RIMHA study. Rev Esp Cardiol 2009;62(9):1022–31. [PubMed]
47. Akintunde AA, Ayodele EO, Akinwusi OP, Opadijo GO. Dyslipidemia among newly diagnosed hypertensives: pattern and clinical correlates. J Natl Med Assoc 2010;102(5):403–7. [PubMed]
48. Kim JW, Park CG, Hong SJ, Park SM, Rha SW, Seo HS, et al. Acute and chronic effects of cigarette smoking on arterial stiffness. Blood Press 2005;14(2):80–5. [PubMed]
49. Valkonen M, Kuusi T. Passive smoking induces atherogenic changes in low-density lipoprotein. Circulation 1998;97(20): 2012–6. [PubMed]
50. Benowitz NL, Sharp DS. Inverse relation between serum cotinine concentration and blood pressure in cigarette smokers. Circulation 1989;80(5):1309–12. [PubMed]
51. Boschitsch E, Mayerhofer S, Magometschnigg D. Hypertension in women: the role of progesterone and aldosterone. Climacteric 2010;13(4):307–13. [PubMed]
52. Lomeli C, Rosas M, Mendoza-Gonzalez C, Lorenzo JA, Pastelin G, Mendez A, et al. Hypertension in women [in Spanish]. Arch Cardiol Mex 2008;78 Suppl 2:S2-98-103. [PubMed]
53. Stamler R, Stamler J, Gosch FC, Civinelli J, Fishman J, McKeever P, et al. Primary prevention of hypertension by nutritional-hygienic means. Final report of a randomized, controlled trial [published erratum appears in JAMA 1989;262 (22):3132]. JAMA 1989;262(13):1801–7. [PubMed]
54. Stevens VJ, Obarzanek E, Cook NR, Lee IM, Appel LJ, Smith West D, et al. Long-term weight loss and changes in blood pressure: results of the Trials of Hypertension Prevention, phase II. Ann Intern Med 2001;134(1):1–11. [PubMed]
55. Appel LJ, Champagne CM, Harsha DW, Cooper LS, Obarzanek E, Elmer PJ, et al. Effects of comprehensive lifestyle modification on blood pressure control: main results of the PREMIER clinical trial. JAMA 2003;289(16):2083–93. [PubMed]
56. Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis of Observational Studies in Epidemiology (MOOSE) group. JAMA 2000;283(15):2008–12. [PubMed]
57. Juni P, Altman DG, Egger M. Systematic reviews in health care: assessing the quality of controlled clinical trials. BMJ 2001;323(7303):42–6. [PMC free article] [PubMed]

Articles from Texas Heart Institute Journal are provided here courtesy of Texas Heart Institute
PubReader format: click here to try


Related citations in PubMed

See reviews...See all...

Cited by other articles in PMC

See all...


  • MedGen
    Related information in MedGen
  • PubMed
    PubMed citations for these articles

Recent Activity

  • Prehypertension
    Texas Heart Institute Journal. 2011; 38(6)643

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...