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Optimal BMI cut-off values for predicting diabetes, hypertension and hypercholesterolaemia in a multi-ethnic population

  • Kee Chee Cheong (a1), Ahmad F Yusoff (a1), Sumarni M Ghazali (a1), Kuang H Lim (a2), Sharmini Selvarajah (a3), Jamaiyah Haniff (a3), Geok L Khor (a4), Suzana Shahar (a5), Jamalludin Abd Rahman (a6), Ahmad A Zainuddin (a2) and Amal N Mustafa (a1)
  • DOI: http://dx.doi.org/10.1017/S1368980012002911
  • Published online: 01 June 2012
Abstract
AbstractObjective

To determine the optimal cut-offs of BMI for Malaysian adults.

Design

Population-based, cross-sectional study. Receiver operating characteristic curves were used to determine the cut-off values of BMI with optimum sensitivity and specificity for the detection of three cardiovascular risk factors: diabetes mellitus, hypertension and hypercholesterolaemia. Gender-specific logistic regression analyses were used to examine the association between BMI and these cardiovascular risk factors.

Setting

All fourteen states in Malaysia.

Subjects

Malaysian adults aged ≥18 years (n 32 703) who participated in the Third National Health and Morbidity Survey in 2006.

Results

The optimal BMI cut-off value for predicting the presence of diabetes mellitus, hypertension, hypercholesterolaemia or at least one of these cardiovascular risk factors varied from 23·3 to 24·1 kg/m2 for men and from 24·0 to 25·4 kg/m2 for women. In men and women, the odds ratio for having diabetes mellitus, hypertension, hypercholesterolaemia or at least one cardiovascular risk factor increased significantly as BMI cut-off point increased.

Conclusions

Our findings indicate that BMI cut-offs of 23·0 kg/m2 in men and 24·0 kg/m2 in women are appropriate for classification of overweight. We suggest that these cut-offs can be used by health professionals to identify individuals for cardiovascular risk screening and weight management programmes.

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*Corresponding author: Email kee@imr.gov.my
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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

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Public Health Nutrition
  • ISSN: 1368-9800
  • EISSN: 1475-2727
  • URL: /core/journals/public-health-nutrition
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