Prediction of hypertension, diabetes, dyslipidaemia or albuminuria using simple anthropometric indexes in hong kong chinese

ABSTRACT OBJECTIVE: It is important to determine what values of simple anthropometric measurements are associated with the presence of adverse cardiovascular risk factors such as diabetes or

hypertension to provide an indication for further detailed investigations. In this analysis, we aimed to assess which anthropometric cutoff values are best at predicting the likelihood of

diabetes, hypertension, dyslipidaemia and albuminuria in Hong Kong Chinese. DESIGN AND SETTING: The data were obtained from a previously reported prevalence survey for glucose intolerance in

a representative Hong Kong Chinese working population. SUBJECTS: 1513 subjects (910 men and 603 women) with mean age±s.d. 37.5±9.2 y. MEASUREMENTS: We examined the likelihood ratios of

having diabetes, hypertension, dyslipidaemia and albuminuria in subjects with various cutoff values of the four simple anthropometric indexes, namely, body mass index, waist-hip ratio, waist

circumference and the ratio of waist-to-height. RESULTS: We developed a nomogram to show the predictive values of different indexes for the cardiovascular risk factors using likelihood

ratio analysis. Using Caucasian mean levels of the simple anthropometric indexes to predict diabetes or hypertension in Hong Kong Chinese gave a high likelihood ratio of 2:3:5. CONCLUSION:

Higher levels of body mass index, waist-hip ratio, waist circumference and the ratio of waist-to-height are associated with risk of having diabetes mellitus or hypertension in Hong Kong

Chinese as in Caucasians. However, the cutoff values of those anthropometric indexes to define obesity used in Caucasians may not be applicable to Chinese. Access through your institution

Buy or subscribe This is a preview of subscription content, access via your institution ACCESS OPTIONS Access through your institution Subscribe to this journal Receive 12 print issues and

online access $259.00 per year only $21.58 per issue Learn more Buy this article * Purchase on SpringerLink * Instant access to full article PDF Buy now Prices may be subject to local taxes

which are calculated during checkout ADDITIONAL ACCESS OPTIONS: * Log in * Learn about institutional subscriptions * Read our FAQs * Contact customer support SIMILAR CONTENT BEING VIEWED BY

OTHERS WHAT IS THE OPTIMAL ANTHROPOMETRIC INDEX/RATIO ASSOCIATED WITH TWO KEY MEASURES OF CARDIO-METABOLIC RISK ASSOCIATED WITH HYPERTENSION AND DIABETES? Article 04 April 2022 EVALUATION OF

NOVEL AND TRADITIONAL ANTHROPOMETRIC INDICES FOR PREDICTING METABOLIC SYNDROME AND ITS COMPONENTS: A CROSS-SECTIONAL STUDY OF THE NEPALI ADULT POPULATION Article Open access 08 April 2025

THE ASSOCIATION BETWEEN ANTHROPOMETRIC INDICES AND ISCHEMIC HEART DISEASE: A LARGE-SCALE CROSS-SECTIONAL STUDY ON THE IRANIAN POPULATION Article Open access 15 August 2024 AUTHOR INFORMATION

AUTHORS AND AFFILIATIONS * Department of Medicine and Therapeutics, Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong GTC Ko, JCN Chan, CS Cockram & J Woo

Authors * GTC Ko View author publications You can also search for this author inPubMed Google Scholar * JCN Chan View author publications You can also search for this author inPubMed Google

Scholar * CS Cockram View author publications You can also search for this author inPubMed Google Scholar * J Woo View author publications You can also search for this author inPubMed Google

Scholar CORRESPONDING AUTHOR Correspondence to GTC Ko. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Ko, G., Chan, J., Cockram, C. _et al._ Prediction

of hypertension, diabetes, dyslipidaemia or albuminuria using simple anthropometric indexes in Hong Kong Chinese. _Int J Obes_ 23, 1136–1142 (1999). https://doi.org/10.1038/sj.ijo.0801043

Download citation * Received: 26 October 1998 * Revised: 07 May 1999 * Accepted: 14 May 1999 * Published: 11 November 1999 * Issue Date: 01 November 1999 * DOI:

https://doi.org/10.1038/sj.ijo.0801043 SHARE THIS ARTICLE Anyone you share the following link with will be able to read this content: Get shareable link Sorry, a shareable link is not

currently available for this article. Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative KEYWORDS * prediction * hypertension * diabetes * anthropometric

indexes * Chinese