Enhanced hypertension prevalence in non-Han Chinese minorities from Xinjiang Province, China
- PMID: 19779488
- PMCID: PMC2854648
- DOI: 10.1038/hr.2009.159
Enhanced hypertension prevalence in non-Han Chinese minorities from Xinjiang Province, China
Erratum in
- Hypertens Res. 2010 Jan;33(1):90. Yan, Shigui [corrected to Yan, Weiqi]
Abstract
Hypertension and its risk factors have been thoroughly investigated in multiple population studies, but little is known about Chinese minorities. In this study, we examined the association of hypertension prevalence with its risk factors in Han and non-Han minorities from Xinjiang Province, China, who have distinct lifestyles. A total of 9551 Han and non-Han Chinese (Han 83.9%, non-Han 16.1%) 17-81-years old participated in this clinical survey and anthropometric screening. Physical examination was performed on each participant, including measurement of systolic and diastolic blood pressure and body mass index (BMI). The prevalence of hypertension in non-Hans was found to be significantly greater than in Hans, in both men (39.92% vs. 28.55%, P<0.001) and women (19.49% vs. 10.29%, P<0.001) among the 36-55-year old age group. BMI was also found to be significantly higher in non-Hans than Hans in men (BMI: 26.54+/-3.23 vs. 24.82+/-2.77 kgm(-2), P<0.001) and women (BMI: 26.92+/-3.20 vs. 24.19+/-3.16 kgm(-2), P<0.001) in the same age group, but not in those <36-years old. Although Han women had normal weights or were slightly overweight (age >36, BMI=22.25-24.19 kgm(-2)), non-Han women from the same age group were found to be severely overweight (ages 36-55, BMI=24.94 kgm(-2), ages >56, BMI=26.92 kgm(-2)). A strong association between increased BMI and hypertension was shown in all ethnic and gender groups. The prevalence of hypertension in overweight (BMI> or =24 kgm(-2)) and obese (BMI> or =28 kgm(-2)), aged (36-81), male, and non-Han participants was significantly greater than in lean (BMI <24 kgm(-2)), young (17-35), female Hans, after adjustment for these variables in a multivariate logistic regression analysis (P<0.001). A high prevalence of hypertension in overweight and obese elderly non-Han men suggests that BMI, age, sex and race are important risk factors for hypertension in this Chinese population.
Comment in
-
Blood pressure differences by race: the importance of assessing lifestyle.Hypertens Res. 2009 Dec;32(12):1049-50. doi: 10.1038/hr.2009.167. Epub 2009 Oct 16. Hypertens Res. 2009. PMID: 19834487 No abstract available.
Similar articles
-
High blood pressure in Chinese ethnic minorities: report from rural Yunnan province.Am J Hypertens. 2011 Nov;24(11):1209-14. doi: 10.1038/ajh.2011.127. Epub 2011 Aug 11. Am J Hypertens. 2011. PMID: 21833039
-
The prevalence of hypertension, obesity and dyslipidemia in individuals of over 30 years of age belonging to minorities from the pasture area of Xinjiang.BMC Public Health. 2010 Feb 24;10:91. doi: 10.1186/1471-2458-10-91. BMC Public Health. 2010. PMID: 20178648 Free PMC article.
-
Lean-non-alcoholic fatty liver disease increases risk for metabolic disorders in a normal weight Chinese population.World J Gastroenterol. 2014 Dec 21;20(47):17932-40. doi: 10.3748/wjg.v20.i47.17932. World J Gastroenterol. 2014. PMID: 25548491 Free PMC article.
-
Prevalence of Isolated Diastolic Hypertension and Associated Risk Factors among Different Ethnicity Groups in Xinjiang, China.PLoS One. 2015 Dec 22;10(12):e0145325. doi: 10.1371/journal.pone.0145325. eCollection 2015. PLoS One. 2015. PMID: 26694755 Free PMC article.
-
Body mass and blood pressure in a lean population in southwestern China.Am J Epidemiol. 1994 Feb 15;139(4):380-9. doi: 10.1093/oxfordjournals.aje.a117010. Am J Epidemiol. 1994. PMID: 8109572
Cited by
-
Iodine nutrition status and thyroid disorders: a cross-sectional study from the Xinjiang Autonomous Region of China.Eur J Clin Nutr. 2016 Nov;70(11):1332-1336. doi: 10.1038/ejcn.2016.82. Epub 2016 May 18. Eur J Clin Nutr. 2016. PMID: 27188916
-
The Prevalence of Metabolic Syndrome Using Three Different Diagnostic Criteria among Low Earning Nomadic Kazakhs in the Far Northwest of China: New Cut-Off Points of Waist Circumference to Diagnose MetS and Its Implications.PLoS One. 2016 Feb 22;11(2):e0148976. doi: 10.1371/journal.pone.0148976. eCollection 2016. PLoS One. 2016. PMID: 26901035 Free PMC article.
-
Machine learning identifies prominent factors associated with cardiovascular disease: findings from two million adults in the Kashgar Prospective Cohort Study (KPCS).Glob Health Res Policy. 2022 Dec 6;7(1):48. doi: 10.1186/s41256-022-00282-y. Glob Health Res Policy. 2022. PMID: 36474302 Free PMC article.
-
Hypertension prevalence, awareness, treatment and control among Han and four ethnic minorities (Uygur, Hui, Mongolian and Dai) in China.J Hum Hypertens. 2015 Sep;29(9):555-60. doi: 10.1038/jhh.2014.123. Epub 2015 Jan 15. J Hum Hypertens. 2015. PMID: 25589212
References
-
- Liao Y, McGee DL, Cooper RS. Prediction of coronary heart disease mortality in blacks and whites: pooled data from two national cohorts. Am J Cardiol. 1999;84:31–36. - PubMed
-
- People's Republic of China National Blood Pressure Survey Cooperative Group A survey on the prevalence of hypertension in different ethnic groups in China. Chin J Hypertens. 1995;3:24–30.
-
- Smith SC, Jr, Clark LT, Cooper RS, Daniels SR, Kumanyika SK, Ofili E, Quinones MA, Sanchez EJ, Saunders E, Tiukinhoy SD. American Heart Association Obesity, Metabolic Syndrome, and Hypertension Writing Group. Discovering the full spectrum of cardiovascular disease: Minority Health Summit 2003: report of the Obesity, Metabolic Syndrome, and Hypertension Writing Group. Circulation. 2005;111:e134–e139. - PubMed
-
- Siervogel RM, Wisemandle W, Maynard LM, Guo SS, Chumlea WC, Towne B. Lifetime overweight status in relation to serial changes in body composition and risk factors for cardiovascular disease: The Fels Longitudinal Study. Obes Res. 2000;8:422–430. - PubMed
-
- Wang Y, Rimm EB, Stampfer MJ, Willett WC, Hu FB. Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men. Am J Clin Nutr. 2005;81:555–563. - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical