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android-gynoid-ratio

🔬 Objectives

  1. Investigate the relationship between the android/gynoid ratio and cardiometabolic measures in youth
  2. Determine whether the android/gynoid ratio outperforms conventional adiposity measures (waist circumference (WC), waist-to-height ratio (WHR) and waist-to-height ratio (WHtR)) in predicting health outcomes.

🔬 Methods

Participants were from the QUébec Adipose and Lifestyle InvesTigation in Youth cohort (n=625, baseline meanage: 9.6±0.9, meanzBMI: 1.081±1.380.3, 54% male).

At baseline and 2-years follow-up, fasting lipids, plasma glucose, and insulin were analyzed.

Android/gynoid ratio was based on dual energy x-ray absorptiometry.

The association between the adiposity measures and biochemical outcomes were analyzed using multiple linear regression, adjusted for pubertal status and age. Estimates were standardized and sex-stratified.

🔬 Results

At baseline, the android/gynoid ratio was significantly associated with TC, HDL, and LDL (girls: β=0.09 mmol/L, β=-0.09 mmol/L, β= 0.11 mmol/L, respectively, p<0.05; boys: β=0.16 mmol/L, β=-0.08mmol/L, β=0.16mmol/L, respectively, p<0.05).

Results were similar at follow-up. WHR was associated with fasting lipids (p<0.05) and insulin (p<0.05), but WHtR and WC were not associated. The android/gynoid ratio significantly outperformed the other measures.

About

Data analysis related to biostatistics project implemented in SAS to investigate the android/gynoid ratio (data hidden)

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