Background: Obesity does not always lead to non-communicable diseases. The objective of this paper is to estimate the prevalence of obese and disease-free population among Malaysian adult aged 18 years and above and to determine the lifestyle and dietary factors on this population. Materials and Methods: Data from the Malaysia National Health and Morbidity Survey (NHMS) 2015, a cross sectional design, applied two stage stratified cluster sampling. Obese and disease-free population was defined as population of obese adults with no known diagnosis of diabetes, hypertension, and high cholesterol. Descriptive analysis of the background characteristics was performed and complex sampling was used to determine the prevalence of obese and disease-free population. Multiple logistic regression was used to determine factors associated with obese and disease free. Data was analysed using SPSS version 25.A p-value of <0.05 was considered significant. Result: 23.7% of Malaysian adults were obese and disease free. Multivariate analysis showed there were no association between lifestyle determinants (physical activity, smoking and alcohol) and dietary factors (fruits and vegetables intake) on these population. Significant associations were revealed among adults aged 18-24 [aOR: 5.00 (95% CI3.22-7.73)] and 25-44 years old [aOR: 2.45(95%CI 1.65-3.64)]. The Nagelkerke R Square analysis predicted that with each passing year, the probability of these population becoming unhealthy obesity increases by 4.4%. Conclusion: Obese and disease-free population is present among obese population. No significant association was reported for lifestyle determinants and dietary factors on these population. A focus shift on parameters of metabolic health should be considered.

Background: Body Mass Index (BMI) been recognized to be less sensitive towards differentiating between muscular and the overweight. The purpose of this study was to identify the prevalence of adults who are at health risk by WHtR but had normal BMI and to investigate whether WHtR is a better health risk correlator compared to BMI and WC. Materials and Methods: Data from the Malaysia Health and Morbidity Survey (NHMS) 2015 was used. A descriptive analysis for socioeconomic and anthropometric variables was carried out. Correlations between the variables BMI, WHtR, SBP, DBP, Total cholesterol and Diabetes were checked using Pearson correlation test. The analysis of ROC curve was used to assess the accuracy of BMI, WC and WHtR as early health risk indicators for diabetes, hypertension and high cholesterol. Result: A total of 18373 respondents were included in this study. Findings showed 19.4% of adults with ‘normal weight by BMI’ have WHtR greater than 0.5 and are at health risk. Population that are at risk by BMI but not at risk by WHtR are only 2.9% from total population. ROC curve showed greater discriminatory power for WHtR compared with BMI for diabetes and high cholesterol but not DSP and SBP.These findings showed that WHtR had the best performance for diabetes and high cholesterol but not diastolic and systolic pressure. Conclusion: WHtR is effective in screening early health risk compared to BMI and WC. The Ministry of Health, Malaysia should investigate the benefits of using WHtR in their population based studies.