Key result
Asian Indian BMI criteria better identify elevated VLDL, triglycerides, and fasting glucose than WHO cutoffs.
Why the study?
Does BMI classification using Asian Indian Guidelines improve the identification of abnormal biochemical metabolites compared to World Health Organization classification in healthy Indian individuals aged 21-40?
Cross-Sectional (n=150)
Does BMI classification using Asian Indian Guidelines improve the identification of abnormal biochemical metabolites compared to World Health Organization classification in healthy Indian individuals aged 21-40?
The Asian Indian Guidelines for BMI classification may better identify metabolic risk, specifically regarding VLDL levels, compared to WHO criteria in a healthy Indian population.
Background: Obesity is a chronic condition leading to increased risk for premature cardiovascular diseases and mortality. The study aims to compare body mass index (BMI) classifications (as per the World Health Organization (WHO) and Asian Indian Guidelines (AIG), 2024) and gender in relation to fasting blood sugar (FBS) and lipid profile parameters, with the goal of gaining a better understanding and facilitating the early identification of at-risk groups. Objectives: To compare the association between BMI (as per WHO and AIG) and biochemical metabolites in gender-matched healthy individuals. Materials and Methods: A cross-sectional study involving 150 healthy individuals aged 21–40, excluding those with chronic medical conditions and BMI <18.5 kg/m 2 , used body weight and height to calculate BMI and biochemical analysis (AGD 2020 clinical chemistry analyzer). Results: The study involving 150 subjects categorized into WHO BMI and AIG showed significant differences in triglyceride levels (in both genders) and FBS levels (in females). While statistical significance for very low-density lipoprotein (VLDL) was attained in the AIG classification only. However mild positive correlation with statistical significance was found between BMI and triglycerides (TGL), VLDL, and FBS. Conclusion: The comparative study of biochemical metabolites for BMI as per two different classifications yielded VLDL as one parameter, other than TGL and FBS, in a healthy Indian population. The findings need to be explored with a larger population before an agreement can be reached on using AIG as a valuable criterion for the early detection of metabolic syndrome in the Indian population.
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Amit et al. (2026) conducted a cross-sectional in Healthy individuals (n=150). Body mass index (BMI) classifications (WHO and Asian Indian Guidelines) was evaluated on Association between BMI and biochemical metabolites (fasting blood sugar and lipid profile). Body mass index classification using Asian Indian Guidelines, unlike WHO criteria, attained statistical significance for VLDL levels, alongside mild positive correlations with triglycerides and FBS.
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