Literature DB >> 8929639

Waist/height ratio as a simple and useful predictor of coronary heart disease risk factors in women.

S D Hsieh1, H Yoshinaga.   

Abstract

To determine whether the waist/height ratio is a better predictor of coronary heart disease (CHD) risk factors in women than body mass index (BMI) or the waist/hip ratio, simple and multiple regression analysis for these obesity indices and CHD risk factor levels [systolic and diastolic blood pressure, fasting blood glucose, hemoglobin A1c (HbA1c), triglyceride, cholesterol, high density lipoprotein (HDL) cholesterol], prevalences (hypertension, abnormal glucose tolerance, hypertriglyceridemia, hypercholesterolemia, low HDL cholesterol) were measured in 1,077 women. The highest regression coefficients were consistently between the waist/height ratio and most of the risk factors by simple regression analysis. Furthermore, the waist/height ratio was the single independent variable to all or most of the risk factors by multiple regression analysis of the waist/height ratio and BMI or the waist/height ratio and the waist/hip ratio. These findings suggest that the waist/height ratio may be a better predictor of multiple CHD risk factors than BMI or the waist/hip ratio.

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Year:  1995        PMID: 8929639     DOI: 10.2169/internalmedicine.34.1147

Source DB:  PubMed          Journal:  Intern Med        ISSN: 0918-2918            Impact factor:   1.271


  25 in total

1.  Indexes of abdominal adiposity in patients with type 2 diabetes.

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2.  Association between adiposity indices and cardiometabolic risk factors among adults living in Puerto Rico.

Authors:  Cristina Palacios; Cynthia M Pérez; Manuel Guzmán; Ana P Ortiz; Alelí Ayala; Erick Suárez
Journal:  Public Health Nutr       Date:  2011-05-24       Impact factor: 4.022

3.  Comparing Utility of Anthropometric Indices Based on Gender Differences in Predicting Dyslipidaemia in Healthy Adults.

Authors:  Priyanka N Pawaskar; Arun Shirali; M Venkatraya Prabhu; Sheila R Pai; Nayanatara Arun Kumar; Niwas G Pawaskar
Journal:  J Clin Diagn Res       Date:  2015-08-01

4.  Association of anthropometric measures with SF-36v2 PCS and MCS in a multi-ethnic Asian population.

Authors:  Maudrene L S Tan; Hwee-Lin Wee; Jeannette Lee; Stefan Ma; Derrick Heng; E-Shyong Tai; Julian Thumboo
Journal:  Qual Life Res       Date:  2012-05-21       Impact factor: 4.147

5.  Optimal cutoff values of waist circumference and the discriminatory performance of other anthropometric indices to detect the clustering of cardiovascular risk factors for metabolic syndrome in Japanese men and women.

Authors:  Kazuyo Nakamura; Hinako Nanri; Megumi Hara; Yasuki Higaki; Takeshi Imaizumi; Naoto Taguchi; Tatsuhiko Sakamoto; Mikako Horita; Koichi Shinchi; Keitaro Tanaka
Journal:  Environ Health Prev Med       Date:  2010-07-30       Impact factor: 3.674

6.  Evaluation of anthropometric indices for metabolic syndrome in Chinese adults aged 40 years and over.

Authors:  Yan-Hong He; Ying-Chun Chen; Guo-Xin Jiang; Hong-Er Huang; Rui Li; Xiao-Ying Li; Guang Ning; Qi Cheng
Journal:  Eur J Nutr       Date:  2011-04-11       Impact factor: 5.614

7.  Measures of obesity and cardiovascular risk among men and women.

Authors:  Rebecca P Gelber; J Michael Gaziano; E John Orav; Joann E Manson; Julie E Buring; Tobias Kurth
Journal:  J Am Coll Cardiol       Date:  2008-08-19       Impact factor: 24.094

8.  Anthropometric cutoff values for detecting metabolic abnormalities in Jordanian adults.

Authors:  Yousef S Khader; Anwar Batieha; Hashim Jaddou; Zahi Batieha; Mohammed El-Khateeb; Kamel Ajlouni
Journal:  Diabetes Metab Syndr Obes       Date:  2010-11-18       Impact factor: 3.168

9.  Changing definitions of metabolic syndrome.

Authors:  Rakesh M Parikh; Viswanathan Mohan
Journal:  Indian J Endocrinol Metab       Date:  2012-01

10.  Measures of adiposity and risk of stroke in China: a result from the Kailuan study.

Authors:  Anxin Wang; Jianwei Wu; Yong Zhou; Xiuhua Guo; Yanxia Luo; Shouling Wu; Xingquan Zhao
Journal:  PLoS One       Date:  2013-04-17       Impact factor: 3.240

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