Table 2. Correlations between total adiposity and fat distribution measured by anthropometry and dual-energy X-ray absorptiometry.
Unadjusted correlations |
Adjusted for age and BMI |
Adjusted for age and FMI |
||||||||
---|---|---|---|---|---|---|---|---|---|---|
Waist | Hip | Height | BMI | FMI | Lean body mass | Waist | Hip | Waist | Hip | |
Men | ||||||||||
Total fat | 0.9 | 0.8 | 0.13 | 0.86 | 0.98 | 0.32 | 0.58 | 0.38 | 0.44 | 0.48 |
Android | 0.91 | 0.76 | 0.07 | 0.86 | 0.97 | 0.29 | 0.62 | 0.26 | 0.51 | 0.23 |
Visceral fat | 0.85 | 0.65 | 0.02* | 0.8 | 0.86 | 0.28 | 0.49 | 0.06 | 0.36 | 0.04 |
Abdominal SAT | 0.75 | 0.71 | 0.14 | 0.7 | 0.84 | 0.17 | 0.42 | 0.34 | 0.1 | 0.22 |
Arm fat | 0.83 | 0.76 | 0.12 | 0.81 | 0.92 | 0.31 | 0.39 | 0.31 | 0.1 | 0.26 |
Gynoid fat | 0.82 | 0.81 | 0.18 | 0.79 | 0.92 | 0.29 | 0.44 | 0.49 | 0.1 | 0.54 |
Leg fat | 0.76 | 0.77 | 0.18 | 0.74 | 0.88 | 0.26 | 0.36 | 0.43 | −0.03 | 0.33 |
Women | ||||||||||
Total fat | 0.85 | 0.88 | 0.06 | 0.91 | 0.98 | 0.27 | 0.35 | 0.47 | 0.32 | 0.51 |
Android | 0.87 | 0.81 | −0.01* | 0.88 | 0.96 | 0.21 | 0.47 | 0.25 | 0.44 | 0.06 |
Visceral fat | 0.76 | 0.63 | −0.07 | 0.75 | 0.79 | 0.18 | 0.35 | 0.01* | 0.3 | −0.07 |
Abdominal SAT | 0.84 | 0.82 | 0.01* | 0.87 | 0.94 | 0.15 | 0.4 | 0.32 | 0.31 | 0.17 |
Arm fat | 0.81 | 0.81 | 0.06 | 0.86 | 0.93 | 0.27 | 0.29 | 0.3 | 0.19 | 0.18 |
Gynoid fat | 0.74 | 0.89 | 0.12 | 0.84 | 0.92 | 0.28 | 0.1 | 0.61 | −0.08 | 0.56 |
Leg fat | 0.68 | 0.85 | 0.13 | 0.8 | 0.87 | 0.28 | 0.02 | 0.54 | −0.14 | 0.45 |
Abbreviations: BMI, body mass index; FMI, fat mass index. Pearson correlations using transformed measures (z-scores); anthropometric and DXA-measured fat depots. All correlations are statistically significant at P<0.001 except *non-significant.