Literature DB >> 19223086

Prevalence of prehypertension and associated risk factors in a rural Taiwanese adult population.

Shin-Jing Lin, Kun-Tai Lee, Ker-Cheng Lin, Kai-Hong Cheng, Wei-Chung Tsai, Sheng-Hsiung Sheu, Ming-Tsang Wu, Chien-Hung Lee, Wen-Ter Lai.   

Abstract

BACKGROUND: The Joint National Committee on the Prevention, Detection, Evaluation, and Treatment of High Blood Pressure has recently introduced the prehypertension category of blood pressure status that needs monitoring and intervention. This study aimed to assess the prevalence of prehypertension and its associated risks in rural Taiwan.
METHODS: From community-based cross-sectional data of 6204 adults (2650 men and 3554 women) who received general health examination in the Chi-Shan district in rural Taiwan, collected between 2002 and 2007, we analyzed and compared the blood pressure and demographic, metabolic, and behavior characteristics of prehypertensive and normotensive subjects. Multiple logistic regression methods were used to identify risk factors for prehypertension.
RESULTS: Within the study population, 3354 had hypertension, 1875 had prehypertension, and 975 had normal blood pressure. The prehypertensive subjects were older, had higher body mass index (BMI), and had higher blood glucose, total cholesterol, triglycerides, and uric acid levels than did the normotensive group. Multivariate logistic regression analysis revealed that BMI was the strongest predictor of prehypertension in both men and women (OR=1.102, 95% CI=1.054-1.152, P<0.001; and OR=1.121, 95% CI=1.085-1.159, P<0.001, respectively).
CONCLUSIONS: The prevalence of prehypertension is high among adults in rural Taiwan and it was associated with many risk factors for further hypertension and cardiovascular disease. Early lifestyle modifications, such as healthy diet, optimal weight control, and exercise are recommended interventions.
Copyright © 2009 Elsevier Ireland Ltd. All rights reserved.

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Year:  2009        PMID: 19223086     DOI: 10.1016/j.ijcard.2009.01.045

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  8 in total

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Journal:  Tex Heart Inst J       Date:  2011

2.  Relationship between dietary sodium, potassium, and calcium, anthropometric indexes, and blood pressure in young and middle aged Korean adults.

Authors:  Juyeon Park; Jung-Sug Lee; Jeongseon Kim
Journal:  Nutr Res Pract       Date:  2010-04-29       Impact factor: 1.926

3.  Prehypertension in rural northeastern China: results from the northeast China rural cardiovascular health study.

Authors:  Zhao Li; Xiaofan Guo; Liqiang Zheng; Zhaoqing Sun; Hongmei Yang; Guozhe Sun; Shasha Yu; Wenna Li; Lu Zou; Jun Wang; Wenyu Hu; Yingxian Sun
Journal:  J Clin Hypertens (Greenwich)       Date:  2014-08-06       Impact factor: 3.738

4.  Dietary factors related to hypertension risk in Korean adults-data from the Korean national health and nutrition examination survey III.

Authors:  Jung-Sug Lee; Juyeon Park; Jeongseon Kim
Journal:  Nutr Res Pract       Date:  2011-02-28       Impact factor: 1.926

5.  Sasang constitution may act as a risk factor for prehypertension.

Authors:  Eunsu Jang; Younghwa Baek; Yunyoung Kim; KiHyun Park; Siwoo Lee
Journal:  BMC Complement Altern Med       Date:  2015-07-14       Impact factor: 3.659

6.  Cardio-metabolic risk factors and prehypertension in persons without diabetes, hypertension, and cardiovascular disease.

Authors:  Peggy P C Chiang; Ecosse L Lamoureux; Anoop Shankar; E Shyong Tai; Tien Y Wong; Charumathi Sabanayagam
Journal:  BMC Public Health       Date:  2013-08-07       Impact factor: 3.295

7.  The prevalence and heterogeneity of prehypertension: a meta-analysis and meta-regression of published literature worldwide.

Authors:  X Guo; L Zheng; X Zhang; L Zou; J Li; Z Sun; J Hu; Y Sun
Journal:  Cardiovasc J Afr       Date:  2012-02       Impact factor: 1.167

8.  Prevalence of prehypertension and associated risk factors among Chinese adults from a large-scale multi-ethnic population survey.

Authors:  Tao Xu; Junting Liu; Guangjin Zhu; Junxiu Liu; Shaomei Han
Journal:  BMC Public Health       Date:  2016-08-11       Impact factor: 3.295

  8 in total

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