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

Public Health Nutr. 2013 Mar;16(3):453-9. doi: 10.1017/S1368980012002911. Epub 2012 May 31.

Abstract

Objective: 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.

Publication types

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Asian People*
  • Body Mass Index*
  • Cardiovascular Diseases / etiology
  • Diabetes Mellitus / etiology*
  • Ethnicity
  • Female
  • Humans
  • Hypercholesterolemia / etiology*
  • Hypertension / etiology*
  • Logistic Models
  • Malaysia / epidemiology
  • Male
  • Obesity* / complications
  • Obesity* / diagnosis
  • Obesity* / epidemiology
  • Odds Ratio
  • Reference Values
  • Risk Factors
  • Sex Factors