Literature DB >> 12187401

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

W-Y Lin1, L-T Lee, C-Y Chen, H Lo, H-H Hsia, I-L Liu, R-S Lin, W-Y Shau, K-C Huang.   

Abstract

BACKGROUND: The increased health risks associated with obesity have been found to occur in Asians at lower body mass indices (BMIs). To determine the optimal cut-off values for overweight or obesity in Taiwan, we examined the relationships between four anthropometric indices and cardiovascular risk factors.
METHODS: The data were collected from four health-screening centers from 1998 to 2000 in Taiwan. Included were 55 563 subjects (26 359 men and 29 204 women, mean age=37.3+/-10.9 and 37.0+/-11.1 y, respectively). None had known major systemic diseases or were taking medication. Individual body weight, height, waist circumference (WC), and a series of tests related to cardiovascular risk (blood pressure, fasting plasma glucose, triglycerides, total cholesterol, low- and high-density lipoprotein cholesterol) were assessed and their relationships were examined. Receiver operating characteristic (ROC) analysis was used to find out the optimal cut-off values of various anthropometric indices to predict hypertension, diabetes mellitus and dyslipidemia.
RESULTS: Of the four anthropometric indices we studied, waist-to-height ratio (WHtR) in women was found to have the largest areas under the ROC curve (women=0.755, 95% CI 0.748-0.763) relative to at least one risk factor (ie hypertension or diabetes or dyslipidemia). The optimal cut-off values for overweight or obesity from our study in men and women showed that BMIs of 23.6 and 22.1 kg/m(2), WCs of 80.5 and 71.5 cm, waist-to-hip ratios (WHpR) of 0.85 and 0.76, and WHtR of 0.48 and 0.45, respectively, may be more appropriate in Taiwan.
CONCLUSIONS: WHtR may be a better indicator for screening overweight- or obesity-related CVD risk factors than the other three indexes (BMI, WC and WHpR) in Taiwan. Our study also supported the hypothesis that the cut-off values using BMI and WC to define obesity should be much lower in Taiwan than in Western countries.

Entities:  

Mesh:

Year:  2002        PMID: 12187401     DOI: 10.1038/sj.ijo.0802040

Source DB:  PubMed          Journal:  Int J Obes Relat Metab Disord


  99 in total

1.  Accuracy and measures of association of anthropometric indexes of obesity to identify the presence of hypertension in adults: a population-based study in Southern Brazil.

Authors:  Diego Augusto Santos Silva; Edio Luiz Petroski; Marco Aurelio Peres
Journal:  Eur J Nutr       Date:  2013-02       Impact factor: 5.614

2.  The metabolic syndrome in China.

Authors:  Bernard M Y Cheung
Journal:  Br J Clin Pharmacol       Date:  2006-09       Impact factor: 4.335

3.  Association of surrogate and direct measures of adiposity with risk of metabolic syndrome in rural Chinese women.

Authors:  Fengxiu Ouyang; Jonathan Necheles; Binyan Wang; Wei Ma; Zhiping Li; Xue Liu; Genfu Tang; Houxun Xing; Xiping Xu; Scott A Venners; Wendy J Brickman; Katherine Kaufer Christoffel; Donald Zimmerman; Xiaobin Wang
Journal:  Eur J Nutr       Date:  2009-04-01       Impact factor: 5.614

4.  Adiponectin gene variants and abdominal obesity in an Iranian population.

Authors:  Moloud Payab; Mahsa M Amoli; Mostafa Qorbani; Shirin Hasani-Ranjbar
Journal:  Eat Weight Disord       Date:  2016-02-22       Impact factor: 4.652

5.  Overweight male personnel of the Japan Self-Defense Forces with body mass indices of 23.0-24.9 and obesity-related metabolic disorders.

Authors:  Hidenari Sakuta; Takashi Suzuki
Journal:  Environ Health Prev Med       Date:  2008-02-28       Impact factor: 3.674

Review 6.  Metabolic syndrome and lifestyle modification.

Authors:  Mitsuyoshi Takahara; Iichiro Shimomura
Journal:  Rev Endocr Metab Disord       Date:  2014-12       Impact factor: 6.514

7.  Relationship of ethnicity and body mass index with the development of hypertension and hyperlipidemia.

Authors:  James Davis; Deborah Juarez; Krista Hodges
Journal:  Ethn Dis       Date:  2013       Impact factor: 1.847

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

Authors:  T Tuan Nguyen; Linda S Adair; Ka He; Barry M Popkin
Journal:  J Nutr       Date:  2008-07       Impact factor: 4.798

9.  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

10.  Anthropometric predictors of incident type 2 diabetes mellitus in Iranian women.

Authors:  Farzad Hadaegh; Gita Shafiee; Fereidoun Azizi
Journal:  Ann Saudi Med       Date:  2009 May-Jun       Impact factor: 1.526

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.