  National Health and Nutritional Status Survey (NHANSS) is conducted annually
by the Ministry of Health in Negara Brunei Darussalam to assess the population
health and nutritional patterns and characteristics. The main aim of this study
was to discover meaningful patterns (groups) from the obese sample of NHANSS
data by applying data reduction and interpretation techniques. The mixed nature
of the variables (qualitative and quantitative) in the data set added novelty
to the study. Accordingly, the Categorical Principal Component (CATPCA)
technique was chosen to interpret the meaningful results. The relationships
between obesity and the lifestyle factors like demography, socioeconomic
status, physical activity, dietary behavior, history of blood pressure,
diabetes, etc., were determined based on the principal components generated by
CATPCA. The results were validated with the help of the split method technique
to counter verify the authenticity of the generated groups. Based on the
analysis and results, two subgroups were found in the data set, and the salient
features of these subgroups have been reported. These results can be proposed
for the betterment of the healthcare industry.
