Literature DB >> 24231024

Associations of body mass index with incident hypertension in American white, American black and Chinese Asian adults in early and middle adulthood: the Coronary Artery Risk Development in Young Adults (CARDIA) study, the Atherosclerosis Risk in Communities (ARIC) study and the People's Republic of China (PRC) study.

Eva G Katz1, June Stevens, Kimberly P Truesdale, Jianwen Cai, Kari E North, Lyn M Steffen.   

Abstract

The association of body mass index (BMI) with blood pressure may be stronger in Asian than non-Asian populations, however, longitudinal studies with direct comparisons between ethnicities are lacking. We compared the relationship of BMI with incident hypertension over approximately 9.5 years of follow-up in young (24-39 years) and middle-aged (45-64 years) Chinese Asians (n=5354), American Blacks (n=6076) and American Whites (n=13451). We estimated risk differences using logistic regression models and calculated adjusted incidences and incidence differences. To facilitate comparisons across ethnicities, standardized estimates were calculated using mean covariate values for age, sex, smoking, education and field center, and included the quadratic terms for BMI and age. Weighted least-squares regression models with were constructed to summarize ethnic-specific incidence differences across BMI. Wald statistics and p-values were calculated based on chi-square distributions. The association of BMI with the incidence difference for hypertension was steeper in Chinese (p<0.05) than in American populations during young and middle-adulthood. For example, at a BMI of 25 vs 21 kg/m2 the adjusted incidence differences per 1000 persons (95% CI) in young adults with a BMI of 25 vs those with a BMI of 21 was 83 (36- 130) for Chinese, 50 (26-74) for Blacks and 30 (12-48) for Whites; among middle-aged adults it was 137 (77-198) for Chinese, 49 (9-88) for Blacks and 54 (38-69) for Whites. Whether hypertension carries the same level of risk of stroke or cardiovascular disease across national or ethnic groups remains uncertain.

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Year:  2013        PMID: 24231024      PMCID: PMC4053207          DOI: 10.6133/apjcn.2013.22.4.12

Source DB:  PubMed          Journal:  Asia Pac J Clin Nutr        ISSN: 0964-7058            Impact factor:   1.662


  34 in total

1.  The effect of decision rules on the choice of a body mass index cutoff for obesity: examples from African American and white women.

Authors:  June Stevens; Jianwen Cai; Daniel W Jones
Journal:  Am J Clin Nutr       Date:  2002-06       Impact factor: 7.045

2.  Prevalence, awareness, treatment, and control of hypertension in china.

Authors:  Dongfeng Gu; Kristi Reynolds; Xigui Wu; Jing Chen; Xiufang Duan; Paul Muntner; Guanyong Huang; Robert F Reynolds; Shaoyong Su; Paul K Whelton; Jiang He
Journal:  Hypertension       Date:  2002-12       Impact factor: 10.190

3.  Ethnic-specific revisions of body mass index cutoffs to define overweight and obesity in Asians are not warranted.

Authors:  J Stevens
Journal:  Int J Obes Relat Metab Disord       Date:  2003-11

4.  Body mass index and cardiovascular risk factors in a rural Chinese population.

Authors:  F B Hu; B Wang; C Chen; Y Jin; J Yang; M J Stampfer; X Xu
Journal:  Am J Epidemiol       Date:  2000-01-01       Impact factor: 4.897

5.  Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults--study on optimal cut-off points of body mass index and waist circumference in Chinese adults.

Authors:  Bei-Fan Zhou
Journal:  Biomed Environ Sci       Date:  2002-03       Impact factor: 3.118

Review 6.  Impact of age on associations between weight and mortality.

Authors:  J Stevens
Journal:  Nutr Rev       Date:  2000-05       Impact factor: 7.110

7.  Body mass index and obesity-related metabolic disorders in Taiwanese and US whites and blacks: implications for definitions of overweight and obesity for Asians.

Authors:  Wen-Harn Pan; Katherine M Flegal; Hsing-Yi Chang; Wen-Ting Yeh; Chih-Jung Yeh; Wen-Chung Lee
Journal:  Am J Clin Nutr       Date:  2004-01       Impact factor: 7.045

8.  The Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report.

Authors:  Aram V Chobanian; George L Bakris; Henry R Black; William C Cushman; Lee A Green; Joseph L Izzo; Daniel W Jones; Barry J Materson; Suzanne Oparil; Jackson T Wright; Edward J Roccella
Journal:  JAMA       Date:  2003-05-14       Impact factor: 56.272

9.  Prediction of hypertension by different anthropometric indices in adults: the change in estimate approach.

Authors:  Nguyen T Tuan; Linda S Adair; June Stevens; Barry M Popkin
Journal:  Public Health Nutr       Date:  2009-09-17       Impact factor: 4.022

10.  Effect of body mass index on all-cause mortality and incidence of cardiovascular diseases--report for meta-analysis of prospective studies open optimal cut-off points of body mass index in Chinese adults.

Authors:  Bei-Fan Zhou
Journal:  Biomed Environ Sci       Date:  2002-09       Impact factor: 3.118

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  12 in total

1.  Urinary F2-isoprostanes and the risk of hypertension.

Authors:  Charles David Melton; Ruiyan Luo; Brett J Wong; Ivan Spasojevic; Lynne E Wagenknecht; Ralph B D'Agostino; Dora Il'yasova
Journal:  Ann Epidemiol       Date:  2017-05-17       Impact factor: 3.797

2.  Race and Obesity in Adolescent Hypertension.

Authors:  Eric L Cheung; Cynthia S Bell; Joyce P Samuel; Tim Poffenbarger; Karen McNiece Redwine; Joshua A Samuels
Journal:  Pediatrics       Date:  2017-04-10       Impact factor: 7.124

3.  Obesogenic Dietary Practices of Latino and Asian Subgroups of Children in California: An Analysis of the California Health Interview Survey, 2007-2012.

Authors:  Alma D Guerrero; Ninez A Ponce; Paul J Chung
Journal:  Am J Public Health       Date:  2015-06-11       Impact factor: 9.308

4.  Comparison of body mass index with waist circumference and skinfold-based percent body fat in firefighters: adiposity classification and associations with cardiovascular disease risk factors.

Authors:  BongKyoo Choi; Dale Steiss; Javier Garcia-Rivas; Stacey Kojaku; Peter Schnall; Marnie Dobson; Dean Baker
Journal:  Int Arch Occup Environ Health       Date:  2015-08-08       Impact factor: 3.015

5.  Optimum cutoff values of anthropometric indices of obesity for predicting hypertension: more than one decades of follow-up in an Iranian population.

Authors:  Azra Ramezankhani; Solmaz Ehteshami-Afshar; Mitra Hasheminia; Mohammad Ali Hajebrahimi; Fereidoun Azizi; Farzad Hadaegh
Journal:  J Hum Hypertens       Date:  2018-08-06       Impact factor: 3.012

6.  Association of PPAR-γ2 and β3-AR Polymorphisms With Postmenopausal Hypertension.

Authors:  Bogna Grygiel-Górniak; Elżbieta Kaczmarek; Maria Mosor; Juliusz Przysławski; Jerzy Nowak
Journal:  J Clin Hypertens (Greenwich)       Date:  2015-03-31       Impact factor: 3.738

7.  Trajectories of body mass index (BMI) and hypertension risk among middle-aged and elderly Chinese people.

Authors:  Bingxin Guo; Zhan Shi; Wenli Zhang; Hao Zhao; Kun He; Xueqi Hu; Yuan Gan; Songhe Shi; Qingfeng Tian
Journal:  J Hum Hypertens       Date:  2020-06-24       Impact factor: 3.012

8.  Ultrasonography and clinical outcome comparison of extracorporeal shock wave therapy and corticosteroid injections for chronic plantar fasciitis: A randomized controlled trial.

Authors:  Ta-Wei Lai; Hsiao-Li Ma; Meng-Shiunn Lee; Po-Ming Chen; Ming-Chou Ku
Journal:  J Musculoskelet Neuronal Interact       Date:  2018-03-01       Impact factor: 2.041

9.  Association between self-reported snoring and hypertension among Chinese Han population aged 30-79 in Chongqing, China.

Authors:  Meng Xiao; Xiaojun Tang; Fan Zhang; Li Zhou; Xiaoqing Bu; Xiang Liu; Xianbin Ding; Zhuozhi Shen; Liling Chen; Yunyun Wu; Wenge Tang; Jingfu Qiu
Journal:  Environ Health Prev Med       Date:  2020-12-03       Impact factor: 3.674

10.  Association between obesity and cardiometabolic health risk in Asian-Canadian sub-groups.

Authors:  Jason X Nie; Chris I Ardern
Journal:  PLoS One       Date:  2014-09-15       Impact factor: 3.240

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