Patients and Methods: A total of 136 participants who attended an annual health screening programme were recruited. The subjects completed the health examinations, including BMI, BF% and blood pressure measurement. A receiver operating curve (ROC) analysis was conducted to determine the optimal cutoff value of BMI in classifying obesity based on BF% (>25%).
Results: The ROC analysis revealed that the optimal BMI cutoff value in classifying subjects with obesity based on BF% was 24.8 kg/m2. The agreement between the classification scheme based on the new BMI cutoff (>24.8 kg/m2) and BF% was higher (κ=0.722) compared to the standard BMI cutoff (>27.5 kg/m2) (κ=0.532). BMI 24.8 kg/m2 also had higher sensitivity (80.0%) than 27.5 kg/m2 (56.0%) in detecting subjects with high adiposity. The new BMI cutoff also showed a sensitivity of 63.9% in identifying subjects with hypertension compared to the standard cutoff (36.1%).
Conclusion: The current definition of obesity based on BMI value needs to be reassessed by taking BF% into account. A new BMI cutoff point, 24.8 kg/m2 for obesity, can identify a higher percentage of Malaysian at risk for CVD.