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. 2014 Dec 23;9(12):e115794. doi: 10.1371/journal.pone.0115794

Table 4. Results of the logistic regression analysis on individual factors related to Cd-induced renal tubular damage.

Region Effect markers Explanatory variables5 84th cutoff1 90th cutoff2
OR3 (95% CI4) OR3 (95% CI4)
CA U-β2M (µg/g cr) U-Cd (µg/g cr) 1. (1.011, 1.100) 1.056* (1.008, 1.107)
Age (years) 1.040 (0.986, 1.096) 1.014 (0.952, 1.080)
U-NAG (U/g cr) U-Cd (µg/g cr) 1.095** (1.050, 1.143) 1.097** (1.050, 1.145)
Age (years) 0.993 (0.946, 1.041) 0.992 (0.940, 1.046)
CB U-β2M (µg/g cr) U-Cd (µg/g cr) 1.197** (1.124, 1.274) 1.156** (1.095, 1.220)
Age (years) 1.003 (0.949, 1.060) 0.991 (0.932, 1.054)
U-NAG (U/g cr) U-Cd (µg/g cr) 1.074** (1.024, 1.126) 1.075** (1.019, 1.135)
Age (years) 1.008 (0.949, 1.070) 1.063 (0.985, 1.148)
1, 2

Cut-off values of U-β2M or U-NAG were defined as the 84th or 90th percentile values, which were calculated in subjects from Cd-non-polluted areas.

3

OR: Odds ratio.

4

CI: Confidence interval.

5

Explanatory variables were used as continuous variables.

**P<0.01, *P<0.05.

CA, county A; CB, county B; U-β2M, urinary level of β2-microglobulin; U-NAG, urinary level of N-acetyl-β-D-glucosaminidase; U-Cd, urinary level of cadmium.