Literature DB >> 18567764

Optimal cutoff values for overweight: using body mass index to predict incidence of hypertension in 18- to 65-year-old Chinese adults.

T Tuan Nguyen1, Linda S Adair, Ka He, Barry M Popkin.   

Abstract

Studies aimed at identifying BMI cutoffs representing increased diseased risk for Asians are typically based on cross-sectional studies. This study determines an optimal BMI cutoff for overweight that represents elevated incidence of hypertension in Chinese adults with data from the China Health and Nutrition Survey 2000-2004 prospective cohort. Cumulative incidence was calculated by dividing new cases of hypertension over the study period by the total at-risk population, aged 18-65 y, in 2000. Sex-specific receiver operating characteristic curves were used to assess the sensitivity and specificity of BMI as a predictor of hypertension incidence. Four-year cumulative incidences of hypertension (13% for women and 19% for men) were related (P < 0.005) to the increase in BMI. The crude area under the curves (AUC) were 0.62 (95% CI: 0.59-0.65) and 0.62 (95% CI: 0.58-0.65) for men and women, respectively; the age-adjusted AUC were 0.68 (95% CI: 0.65-0.70) and 0.71 (95% CI: 0.68-0.74) for men and women, respectively. A BMI of 23.5 kg/m(2) for women and 22.5 kg/m(2) for men provided the highest sensitivity and specificity (60%). The finding was consistent in different age groups. A BMI level of 25 kg/m(2) provided lower sensitivities (36% for women and 29% for men) with higher specificities (80% for women and 85% for men). Our study supported the hypothesis that the BMI cutoff to define overweight should be lower in Chinese than that in Western populations.

Entities:  

Mesh:

Year:  2008        PMID: 18567764      PMCID: PMC2587351          DOI: 10.1093/jn/138.7.1377

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  41 in total

1.  Larger amounts of visceral adipose tissue in Asian Americans.

Authors:  Y W Park; D B Allison; S B Heymsfield; D Gallagher
Journal:  Obes Res       Date:  2001-07

2.  Association between simple anthropometric indices and cardiovascular risk factors.

Authors:  S C Ho; Y M Chen; J L Woo; S S Leung; T H Lam; E D Janus
Journal:  Int J Obes Relat Metab Disord       Date:  2001-11

3.  Birth size, growth, and blood pressure between the ages of 7 and 26 years: failure to support the fetal origins hypothesis.

Authors:  Sheila Williams; Richie Poulton
Journal:  Am J Epidemiol       Date:  2002-05-01       Impact factor: 4.897

4.  Anthropometric cut points for identification of cardiometabolic risk factors in an urban Asian Indian population.

Authors:  Viswanathan Mohan; Mohan Deepa; Syed Farooq; K M Venkat Narayan; Manjula Datta; Raj Deepa
Journal:  Metabolism       Date:  2007-07       Impact factor: 8.694

5.  Physical status: the use and interpretation of anthropometry. Report of a WHO Expert Committee.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  1995

6.  Visceral adipose tissue accumulation differs according to ethnic background: results of the Multicultural Community Health Assessment Trial (M-CHAT).

Authors:  Scott A Lear; Karin H Humphries; Simi Kohli; Arun Chockalingam; Jiri J Frohlich; C Laird Birmingham
Journal:  Am J Clin Nutr       Date:  2007-08       Impact factor: 7.045

7.  Body weight and mortality among men and women in China.

Authors:  Dongfeng Gu; Jiang He; Xiufeng Duan; Kristi Reynolds; Xigui Wu; Jing Chen; Guangyong Huang; Chung-Shiuan Chen; Paul K Whelton
Journal:  JAMA       Date:  2006-02-15       Impact factor: 56.272

8.  Optimal cut-off values for obesity: using simple anthropometric indices to predict cardiovascular risk factors in Taiwan.

Authors:  W-Y Lin; L-T Lee; C-Y Chen; H Lo; H-H Hsia; I-L Liu; R-S Lin; W-Y Shau; K-C Huang
Journal:  Int J Obes Relat Metab Disord       Date:  2002-09

9.  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

10.  Major genomic mitochondrial lineages delineate early human expansions.

Authors:  N Maca-Meyer; A M González; J M Larruga; C Flores; V M Cabrera
Journal:  BMC Genet       Date:  2001-08-13       Impact factor: 2.797

View more
  28 in total

1.  Waist circumference and the risk of hypertension and prediabetes among Filipino women.

Authors:  Delia B Carba; Isabelita N Bas; Socorro A Gultiano; Nanette R Lee; Linda S Adair
Journal:  Eur J Nutr       Date:  2012-06-09       Impact factor: 5.614

2.  Lipoprotein-associated phospholipase A2 is associated with postpartum hypertension in women with history of preeclampsia.

Authors:  Yuheng Zhou; Jianmin Niu; Dongmei Duan; Qiong Lei; Jiying Wen; Xiaohong Lin; Lijuan Lv; Longding Chen
Journal:  Heart Vessels       Date:  2014-04-23       Impact factor: 2.037

3.  Oxygen uptake efficiency plateau best predicts early death in heart failure.

Authors:  Xing-Guo Sun; James E Hansen; William W Stringer
Journal:  Chest       Date:  2011-10-26       Impact factor: 9.410

4.  Understanding the patterns and trends of sodium intake, potassium intake, and sodium to potassium ratio and their effect on hypertension in China.

Authors:  Shufa Du; Andrea Neiman; Carolina Batis; Huijun Wang; Bing Zhang; Jiguo Zhang; Barry M Popkin
Journal:  Am J Clin Nutr       Date:  2013-11-20       Impact factor: 7.045

5.  BMI and waist circumference are associated with impaired glucose metabolism and type 2 diabetes in normal weight Chinese adults.

Authors:  Shengxu Li; Jianzhong Xiao; Linong Ji; Jianping Weng; Weiping Jia; Juming Lu; Zhiguang Zhou; Xiaohui Guo; Jie Liu; Zhongyan Shan; Dalong Zhu; Li Chen; Zhigang Zhao; Haoming Tian; Qiuhe Ji; Jiapu Ge; Qiang Li; Lixiang Lin; Zhaojun Yang; Jiang He; Wenying Yang
Journal:  J Diabetes Complications       Date:  2014-04-01       Impact factor: 2.852

6.  Obesity and overweight prevalence and its association with undiagnosed hypertension in Shanghai population, China: a cross-sectional population-based survey.

Authors:  Xinjian Li; Jiying Xu; Haihong Yao; Yanfei Guo; Minna Chen; Wei Lu
Journal:  Front Med       Date:  2012-07-28       Impact factor: 4.592

7.  Dichotomization: 2 x 2 (x2 x 2 x 2...) categories: infinite possibilities.

Authors:  Karyn K Heavner; Carl V Phillips; Igor Burstyn; Warren Hare
Journal:  BMC Med Res Methodol       Date:  2010-06-23       Impact factor: 4.615

8.  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.

Authors:  Eva G Katz; June Stevens; Kimberly P Truesdale; Jianwen Cai; Kari E North; Lyn M Steffen
Journal:  Asia Pac J Clin Nutr       Date:  2013       Impact factor: 1.662

9.  The association between body mass index and hypertension is different between East and Southeast Asians.

Authors:  Tuan T Nguyen; Linda S Adair; Chirayath M Suchindran; Ka He; Barry M Popkin
Journal:  Am J Clin Nutr       Date:  2009-04-15       Impact factor: 7.045

10.  Performance of body mass index in predicting diabetes and hypertension in the Eastern Province of Saudi Arabia.

Authors:  Ali M Almajwal; Nadira A Al-Baghli; Marijka J Batterham; Peter G Williams; Khalid A Al-Turki; Aqeel J Al-Ghamdi
Journal:  Ann Saudi Med       Date:  2009 Nov-Dec       Impact factor: 1.526

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.