Table 3.

Quantile regression analysis of how BMI-Z and WFL-Z vary across the distribution of body composition.

Quan tile	0.10	0.20	0.30	0.40	0.50	0.60	0.70	0.80	0.90	P-value 0.10 vs 0.90
Percent Fat-Z
	0.56***	0.49***	0.52***	0.52***	0.49***	0.52***	0.54***	0.55***	0.53***	0.23
BM I-Z	(0.35 –	(0.37 –	(0.39 –	(0.38 –	(0.38 –	(0.41 –	(0.29 –	(0.32 –	(0.32 –
	0.73)	0.66)	0.61)	0.64)	0.65)	0.65)	0.74)	0.75)	0.77)
	0.3***	0.31***	0.33***	0.32***	0.36***	0.38***	0.34***	0.3**	0.34***	0.65
WF	(0.13 –	(0.2 –	(0.23 –	(0.24 –	(0.27 –	(0.24 –	(0.19 –	(0.18 –	(0.13 –
L-Z	0.45)	0.41)	0.4)	0.46)	0.43)	0.44)	0.49)	0.51)	0.43)
Fat Mass-Z
	0.49***	0.51***	0.53***	0.5***	0.53***	0.56***	0.56***	0.67***	0.69***	0.06
BM	(0.37 –	(0.39 –	(0.39 –	(0.42 –	(0.43 –	(0.4 –	(0.45 –	(0.48 –	(0.42 –
I-Z	0.7)	0.67)	0.68)	0.67)	0.61)	0.66)	0.7)	0.77)	0.81)
	0.3***	0.25***	0.35***	0.33***	0.31***	0.35***	0.34***	0.4***	0.41***	0.16
WF	(0.18 –	(0.18 –	(0.19 –	(0.24 –	(0.25 –	(0.22 –	(0.26 –	(0.27 –	(0.17 –
L-Z	0.4)	0.38)	0.43)	0.41)	0.41)	0.44)	0.44)	0.52)	0.65)
Fat Mass/Length2-Z
	0.66***	0.73***	0.72***	0.68***	0.72***	0.76***	0.74***	0.79***	0.74***	0.06
BM	(0.49 –	(0.61 –	(0.64 –	(0.59 –	(0.59 –	(0.59 –	(0.64 –	(0.63 –	(0.62 –
I-Z	0.77)	0.83)	0.8)	0.82)	0.83)	0.85)	0.95)	0.89)	0.95)
	0.39***	0.47***	0.47***	0.52***	0.5***	0.51***	0.54***	0.59***	0.52***	0.16
WF	(0.31 –	(0.39 –	(0.39 –	(0.42 –	(0.44 –	(0.43 –	(0.42 –	(0.39 –	(0.43 –
L-Z	0.6)	0.53)	0.59)	0.58)	0.61)	0.59)	0.61)	0.69)	0.66)
Fat Mass/Length3-Z
	0.66***	0.77***	0.82***	0.8***	0.79***	0.75***	0.81***	0.85***	0.78***	0.04
BM	(0.55 –	(0.66 –	(0.7 –	(0.71 –	(0.68 –	(0.68 –	(0.68 –	(0.73 –	(0.73 –
I-Z	0.84)	0.91)	0.87)	0.9)	0.89)	0.91)	0.99)	0.94)	0.98)
	0.45***	0.53***	0.58***	0.6***	0.59***	0.58***	0.61***	0.64***	0.59***	0.30
WF	(0.35 –	(0.45 –	(0.47 –	(0.47 –	(0.53 –	(0.53 –	(0.51 –	(0.47 –	(0.49 –
L-Z	0.73)	0.62)	0.65)	0.66)	0.69)	0.65)	0.7)	0.76)	0.71)
Fat-Free Mass-Z
	0.12 (–	0.17* (–	0.16 (–	0.16*	0.12	0.14*	0.19**	0.24**	0.33**	0.03
BM	0.06 –	0.01 –	0.02 –	(0.02 –	(0.02 –	(0.01 –	(0.04 –	(0.08 –	(0.09 –
I-Z	0.33)	0.31)	0.34)	0.3)	0.29)	0.31)	0.3)	0.32)	0.45)
	0.03 (−0.1	0.08 (–	0.06 (–	0.08 (–	0.07 (–	0.06 (–	0.08 (–	0.08 (–	0.08	0.008
WF	−0.11)	0.08 –	0.03 –	0.04 –	0.05 –	0.03 –	0.02 –	0.02 –	(0.04 –
L-Z		0.19)	0.23)	0.18)	0.15)	0.17)	0.18)	0.19)	0.24)
Fat-Free Mass/Length2-Z
	0.55***	0.58***	0.69***	0.72***	0.79***	0.8***	0.78***	0.76***	0.79***	0.03
BM	(0.44 –	(0.43 –	(0.58 –	(0.61 –	(0.63 –	(0.67 –	(0.72 –	(0.68 –	(0.69 –
I-Z	0.75)	0.83)	0.81)	0.88)	0.86)	0.88)	0.89)	0.87)	0.93)
	0.53***	0.51***	0.62***	0.63***	0.65***	0.65***	0.65***	0.67***	0.68***	0.02
WF	(0.38 –	(0.44 –	(0.53 –	(0.56 –	(0.54 –	(0.56 –	(0.6 –	(0.6 –	(0.66 –
L-Z	0.65)	0.72)	0.69)	0.7)	0.71)	0.74)	0.72)	0.72)	0.74)

From quantile regressions, coefficients and 95% confidence intervals (in parentheses) are shown. Statistical significance is indicated by

^*p<0.05;

^**p<0.01;

^***p<0.001. ANOVA was used compare results from 10^th versus 90^th quantile regression models (last column).