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. 2010 May 17;65A(8):858–865. doi: 10.1093/gerona/glq066

Table 2.

Multiple Linear Regression Models by Gender Examining the Effect of Age, Race, BMI, and Interaction Terms on Neopterin Values

	Female models
	1	2	3	4	5
Intercept	0.70 ± 0.03^*	0.74 ± 0.03^*	0.60 ± 0.04^*	0.75 ± 0.05^*	0.66 ± 0.06^*
Age	0.0023 ± 0.0005^*	0.0027 ± 0.0005^*	0.0027 ± 0.0005^*	0.0026 ± 0.0005^*	0.0053 ± 0.0013^*
Race		−0.085 ± 0.019^*	−0.046 ± 0.021^†	−0.026 ± 0.020	−0.029 ± 0.020
BMI			0.0037 ± 0.0008^*	0.0042 ± 0.0019^†	−0.0041 ± 0.0019^†
BMI25up				−0.0042 ± 0.0009^†	−0.0015 ± 0.0006^†
age45up					0.0049 ± 0.0009^*
r²	.08	.17	.24	.32	.35
Δr²		.09	.07	.02	.08
	Male models
	1	2	3	4	5
Intercept	0.7 ± 0.03^*	0.83 ± 0.02^*	0.65 ± 0.04^*	0.87 ± 0.05^*	1.00 ± 0.06^*
Age	0.0006 ± 0.0005	0.0019 ± 0.0005^†	0.0021 ± 0.0004^*	0.0019 ± 0.0004^*	0.0022 ± 0.0004^*
Race		−0.162 ± 0.019^*	−0.140 ± 0.018^*	−0.134 ± 0.017^*	−0.356 ± 0.066^*
BMI			0.0055 ± 0.0010^*	−0.0056 ± 0.0020^†	−0.0094 ± 0.0022^*
BMI25up				0.0052 ± 0.0008^*	0.0045 ± 0.0008^*
Race × BMI					0.0074 ± 0.0022^†
r²	.01	.25	.34	.44	.47
Δr²		.24	.09	.10	.03

Notes: Each p value compares the full model with a simpler model omitting that variable.

^*

p < .0001.

^†

p < .05.