. 2015 Sep 24;12(10):11988–12001. doi: 10.3390/ijerph121011988

Table 4.

Multiple linear regression analysis with nine renal markers as dependent variables based on three models.

Variables	Model	Coefficient	95% CI	P	R²
NAG	cre-corrected *	0.362	0.217,0.507	<0.001	0.179
	Un-corrected ^†	0.505	0.361,0.649	<0.001	0.27
	cre-adjusted ^‡	0.344	0.206,0.482	<0.001	0.413
ALP	cre-corrected *	0.266	0.117,0.415	<0.001	0.139
	Un-corrected ^†	0.401	0.253,0.549	<0.001	0.234
	cre-adjusted ^‡	0.272	0.124,0.420	<0.001	0.324
GGT	cre-corrected *	−0.186	−0.345,−0.028	0.023	0.021
	Un-corrected ^†	0.236	0.084,0.388	0.003	0.194
	cre-adjusted ^‡	−0.093	−0.173,−0.013	0.023	0.803
α₁-MG	cre-corrected *	0.028	−0.121,0.178	0.713	0.127
	Un-corrected ^†	0.116	−0.045,0.277	0.158	0.098
	cre-adjusted ^‡	0.031	−0.136,0.198	0.718	0.134
β₂-MG	cre-corrected *	0.168	0.010,0.326	0.038	0.029
	Un-corrected ^†	0.221	0.056,0.384	0.01	0.053
	cre-adjusted ^‡	0.176	0.002,0.352	0.049	0.058
MT	cre-corrected *	0.242	0.097,0.387	0.001	0.18
	Un-corrected ^†	0.261	0.115,0.407	<0.001	0.251
	cre-adjusted ^‡	0.263	0.107,0.419	0.001	0.247
KIM-1	cre-corrected *	0.084	−0.056, 0.224	0.243	0.235
	Un-corrected ^†	0.098	−0.067, 0.262	0.247	0.053
	cre-adjusted ^‡	0.177	0.005, 0.349	0.045	0.084
RBP	cre-corrected *	0.281	0.131,0.429	<0.001	0.137
	Un-corrected ^†	0.278	0.121,0.435	<0.001	0.142
	cre-adjusted ^‡	0.312	0.145,0.479	<0.001	0.144
AB	cre-corrected *	0.092	−0.066,0.246	0.258	0.054
	Un-corrected ^†	0.269	0.109,0.429	0.001	0.101
	cre-adjusted ^‡	0.107	−0.049,0.263	0.181	0.244

AB, albumin; ALP, alkaline phosphatase; GGT, γ-glutamyl transpeptidase; KIM-1, kidney injury molecule-1; MT, metallothionein; NAG, N-acetyl-β-D-glucosaminidase; RBP, retinol binding protein; α₁-MG, α₁-microglobulin; β₂-MG, β₂-microglobulin. * The cre-corrected model stands for multiple linear regression adjusted for age, BMI and YOR, based on values corrected for creatinine concentration; ^† the un-corrected model stands for multiple linear regression adjusted for age, BMI and YOR, based on observed (un-corrected) values; ^‡ the cre-adjusted model stands for multiple linear regression adjusted for age, BMI, YOR and creatinine concentration, based on observed (un-corrected) values.