Optimal waist circumference cut-off values for predicting cardiovascular risk factors in a multi-ethnic Malaysian population

Kee C. Cheong, Sumarni M. Ghazali, Lim K. Hock, Ahmad F. Yusoff, Sharmini Selvarajah, Jamaiyah Haniff, Ahmad Ali Zainuddin, Chan Y. Ying, Khor G. Lin, Jamalludin A. Rahman, Suzana Shahar, Amal N. Mustafa

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Introduction Previous studies have proposed the lower waist circumference (WC) cutoffs be used for defining abdominal obesity in Asian populations. Objective To determine the optimal cut-offs of waist circumference (WC) in predicting cardiovascular (CV) risk factors in the multi-ethnic Malaysian population. Methods We analysed data from 32,703 respondents (14,980 men and 17,723 women) aged 18 years and above who participated in the Third National Health and Morbidity Survey in 2006. Gender-specific logistic regression analyses were used to examine associations between WC and three CV risk factors (diabetes mellitus, hypertension, and hypercholesterolemia) the Receiver Operating Characteristic (ROC) curves were used to determine the cut-off values of WC with optimum sensitivity and specificity for detecting these CV risk factors. Results The odds ratio for having diabetes mellitus, hypertension, and hypercholesterolemia, or at least one of these risks, increased significantly as the WC cut-off point increased. Optimal WC cut-off values for predicting the presence of diabetes mellitus, hypertension, hypercholesterolemia and at least one of the three CV risk factors varied from 81.4 to 85.5 cm for men and 79.8 to 80.7 cm for women. Conclusions Our findings indicate that WC cut-offs of 81 cm for men and 80 cm for women are appropriate for defining abdominal obesity and for recommendation to undergo cardiovascular risk screening and weight management in the Malaysian adult population.

Original languageEnglish
JournalObesity Research and Clinical Practice
Volume8
Issue number2
DOIs
Publication statusPublished - 2014

Fingerprint

Waist Circumference
Population
Hypercholesterolemia
Diabetes Mellitus
Abdominal Obesity
Hypertension
Health Surveys
ROC Curve
Logistic Models
Odds Ratio
Regression Analysis
Morbidity
Weights and Measures
Sensitivity and Specificity

Keywords

  • Cardiovascular risk factors
  • Malaysian population
  • Optimal cut-off
  • Waist circumference

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Nutrition and Dietetics
  • Medicine(all)

Cite this

Optimal waist circumference cut-off values for predicting cardiovascular risk factors in a multi-ethnic Malaysian population. / Cheong, Kee C.; Ghazali, Sumarni M.; Hock, Lim K.; Yusoff, Ahmad F.; Selvarajah, Sharmini; Haniff, Jamaiyah; Zainuddin, Ahmad Ali; Ying, Chan Y.; Lin, Khor G.; Rahman, Jamalludin A.; Shahar, Suzana; Mustafa, Amal N.

In: Obesity Research and Clinical Practice, Vol. 8, No. 2, 2014.

Research output: Contribution to journalArticle

Cheong, KC, Ghazali, SM, Hock, LK, Yusoff, AF, Selvarajah, S, Haniff, J, Zainuddin, AA, Ying, CY, Lin, KG, Rahman, JA, Shahar, S & Mustafa, AN 2014, 'Optimal waist circumference cut-off values for predicting cardiovascular risk factors in a multi-ethnic Malaysian population', Obesity Research and Clinical Practice, vol. 8, no. 2. https://doi.org/10.1016/j.orcp.2013.03.004
Cheong, Kee C. ; Ghazali, Sumarni M. ; Hock, Lim K. ; Yusoff, Ahmad F. ; Selvarajah, Sharmini ; Haniff, Jamaiyah ; Zainuddin, Ahmad Ali ; Ying, Chan Y. ; Lin, Khor G. ; Rahman, Jamalludin A. ; Shahar, Suzana ; Mustafa, Amal N. / Optimal waist circumference cut-off values for predicting cardiovascular risk factors in a multi-ethnic Malaysian population. In: Obesity Research and Clinical Practice. 2014 ; Vol. 8, No. 2.
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AU - Selvarajah, Sharmini

AU - Haniff, Jamaiyah

AU - Zainuddin, Ahmad Ali

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N2 - Introduction Previous studies have proposed the lower waist circumference (WC) cutoffs be used for defining abdominal obesity in Asian populations. Objective To determine the optimal cut-offs of waist circumference (WC) in predicting cardiovascular (CV) risk factors in the multi-ethnic Malaysian population. Methods We analysed data from 32,703 respondents (14,980 men and 17,723 women) aged 18 years and above who participated in the Third National Health and Morbidity Survey in 2006. Gender-specific logistic regression analyses were used to examine associations between WC and three CV risk factors (diabetes mellitus, hypertension, and hypercholesterolemia) the Receiver Operating Characteristic (ROC) curves were used to determine the cut-off values of WC with optimum sensitivity and specificity for detecting these CV risk factors. Results The odds ratio for having diabetes mellitus, hypertension, and hypercholesterolemia, or at least one of these risks, increased significantly as the WC cut-off point increased. Optimal WC cut-off values for predicting the presence of diabetes mellitus, hypertension, hypercholesterolemia and at least one of the three CV risk factors varied from 81.4 to 85.5 cm for men and 79.8 to 80.7 cm for women. Conclusions Our findings indicate that WC cut-offs of 81 cm for men and 80 cm for women are appropriate for defining abdominal obesity and for recommendation to undergo cardiovascular risk screening and weight management in the Malaysian adult population.

AB - Introduction Previous studies have proposed the lower waist circumference (WC) cutoffs be used for defining abdominal obesity in Asian populations. Objective To determine the optimal cut-offs of waist circumference (WC) in predicting cardiovascular (CV) risk factors in the multi-ethnic Malaysian population. Methods We analysed data from 32,703 respondents (14,980 men and 17,723 women) aged 18 years and above who participated in the Third National Health and Morbidity Survey in 2006. Gender-specific logistic regression analyses were used to examine associations between WC and three CV risk factors (diabetes mellitus, hypertension, and hypercholesterolemia) the Receiver Operating Characteristic (ROC) curves were used to determine the cut-off values of WC with optimum sensitivity and specificity for detecting these CV risk factors. Results The odds ratio for having diabetes mellitus, hypertension, and hypercholesterolemia, or at least one of these risks, increased significantly as the WC cut-off point increased. Optimal WC cut-off values for predicting the presence of diabetes mellitus, hypertension, hypercholesterolemia and at least one of the three CV risk factors varied from 81.4 to 85.5 cm for men and 79.8 to 80.7 cm for women. Conclusions Our findings indicate that WC cut-offs of 81 cm for men and 80 cm for women are appropriate for defining abdominal obesity and for recommendation to undergo cardiovascular risk screening and weight management in the Malaysian adult population.

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