Body fat patterning in lean Asian Indians with diabetes: Case-control study.

Area of Science:

• Endocrinology
• Metabolic Syndrome
• Body Composition Analysis

Background:

• Type 2 Diabetes (T2D) is a growing global health concern, particularly in Asian-Indian populations.
• Body fat distribution, specifically visceral adipose tissue (VAT), plays a critical role in metabolic dysfunction.
• Traditional anthropometric measures may not fully capture the risk associated with fat patterning in T2D development.

Purpose of the Study:

• To investigate body fat patterning in Asian-Indian individuals with T2D.
• To identify predictors of incident diabetes, focusing on visceral adipose tissue (VAT).
• To compare fat distribution between diabetic and non-diabetic individuals across different BMI categories.

Main Methods:

• Cross-sectional study including 53 T2D patients and 106 controls, categorized as lean (BMI <23 kg/m²) or overweight/obese (BMI ≥23 kg/m²).
• Measurements included anthropometry, lipids, adiponectin, hsCRP, and body composition via bioimpedance analysis (BIA) and Dual Energy X-ray absorptiometry (DEXA).
• Association analysis between VAT and anthropometric measures to identify diabetes predictors.

Main Results:

• Total body fat percentage was similar between T2D patients and controls in both lean and obese groups.
• Individuals with T2D exhibited significantly higher visceral fat (rating, area, volume, mass) regardless of BMI.
• Intra-abdominal visceral fat (IAVF) demonstrated the highest sensitivity (71%) for predicting incident diabetes.

Conclusions:

• Increased intra-abdominal visceral fat, independent of BMI, is strongly associated with incident type 2 diabetes in Asian-Indians.
• IAVF assessment using BIA or DEXA is recommended for diabetes risk prediction, especially in lean individuals.
• Body fat patterning, particularly visceral fat accumulation, is a more significant indicator of diabetes risk than overall body fat percentage.