Literature DB >> 19564702

Prehypertension and cardiovascular risk factor clustering among Mongolian population in rural and animal husbandry area, Inner Mongolia, China.

Mingzhi Zhang1, Buren Batu, Weijun Tong, Hongmei Li, Zhe Lin, Yongshan Li, Xianyu Zhang, Yonghong Zhang.   

Abstract

BACKGROUND: It is unclear whether and to what extent there is clustering of cardiovascular risk factors in the prehypertension phase among Mongolians in the rural and animal husbandry area of Inner Mongolia, China. METHODS AND
RESULTS: The 2,589 Mongolian people aged > or=20 years served as subjects. Demographic data, lifestyle factors and family history of hypertension, blood pressure measurements, physical examination and blood samples were obtained and analyzed for all individuals. The proportions of 2 and > or =3 risk factors clustering were higher in hypertensives than in prehypertensives, and higher in prehypertensives than in normotensives (both P<0.01). After adjustment for age, sex and family history of hypertension, both prehypertension and hypertension were associated with mutually clustering of 5 risk factors; odds ratio (OR) of prehypertension with 1, 2 and > or =3 factors was 1.30 (1.02, 1.65), 1.93 (1.40, 2.67) and 2.44 (1.62, 3.68), respectively, and for hypertension the OR were 1.75 (1.31, 2.35), 3.84 (2.68, 5.48) and 6.95 (5.04, 10.63), respectively.
CONCLUSIONS: There is clustering of risk factors in the phase of prehypertension among Mongolian people, so intervention measures should be taken to prevent progression to hypertension and other cardiovascular diseases.

Entities:  

Mesh:

Year:  2009        PMID: 19564702     DOI: 10.1253/circj.cj-09-0101

Source DB:  PubMed          Journal:  Circ J        ISSN: 1346-9843            Impact factor:   2.993


  8 in total

1.  Multilevel analysis of the determinants of pre-hypertension and hypertension in rural southwest China.

Authors:  Cai Le; Dong Jun; Lu Yichun; Shu Zhankun; Zhao Keying
Journal:  Public Health Rep       Date:  2011 May-Jun       Impact factor: 2.792

2.  The prevalence and associated factors for prehypertension and hypertension in Cambodia.

Authors:  Vinay Gupta; James P LoGerfo; Prak Piseth Raingsey; Annette L Fitzpatrick
Journal:  Heart Asia       Date:  2013-12-13

3.  Developing and validating a new precise risk-prediction model for new-onset hypertension: The Jichi Genki hypertension prediction model (JG model).

Authors:  Hiroshi Kanegae; Takamitsu Oikawa; Kenji Suzuki; Yukie Okawara; Kazuomi Kario
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-03-31       Impact factor: 3.738

4.  Which blood pressure measurement, systolic or diastolic, better predicts future hypertension in normotensive young adults?

Authors:  Hiroshi Kanegae; Takamitsu Oikawa; Yukie Okawara; Satoshi Hoshide; Kazuomi Kario
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-04-26       Impact factor: 3.738

5.  Prevalence and Associated Factors of Prehypertension and Hypertension in Iranian Population: The Lifestyle Promotion Project (LPP).

Authors:  Jafar Sadegh Tabrizi; Homayoun Sadeghi-Bazargani; Mostafa Farahbakhsh; Leila Nikniaz; Zeinab Nikniaz
Journal:  PLoS One       Date:  2016-10-26       Impact factor: 3.240

6.  Prevalence and Health-Adjusted Life Expectancy Among Older Adults With Hypertension in Chinese Rural Areas.

Authors:  Ze Hu; Xiaotian Liu; Wei Liao; Ning Kang; Lixia Ma; Zhenxing Mao; Jian Hou; Wenqian Huo; Yuqian Li; Chongjian Wang
Journal:  Front Public Health       Date:  2022-03-01

7.  The prevalence of pre-hypertension and its association to established cardiovascular risk factors in south of Iran.

Authors:  Karamatollah Rahmanian; Mohammad Shojaie
Journal:  BMC Res Notes       Date:  2012-07-28

8.  Interaction of lipid accumulation product and family history of hypertension on hypertension risk: a cross-sectional study in the Southern Chinese population.

Authors:  JunXuan Huang; XinYu Bao; YiXian Xie; XiaoXia Zhang; Xin Peng; Yan Liu; MengJiao Cheng; JinXiang Ma; PeiXi Wang
Journal:  BMJ Open       Date:  2019-11-28       Impact factor: 2.692

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.