Metallomics study using hair mineral analysis and multiple logistic regression analysis: relationship between cancer and minerals

Table 2 Relationship between cancer risk and minerals (multiple logistic regression analysis)

	Part. coeff.	Corr. coeff.	p value	Significance		Part. coeff.	Corr. coeff.	p value	Significance
I	0.3012	0.3484	0.0000	****	Se	−0.1614	−0.1114	0.0282	*
As	0.2668	0.2319	0.0002	***	Mn	−0.1533	0.1337	0.0372	*
Zn	0.2612	0.2754	0.0003	***	V	−0.1279	−0.1237	0.0827
Na	0.1903	0.2172	0.0095	**	K	−0.0722	0.0747	0.3291
Br	0.1839	0.2213	0.0122	*	Mg	−0.0661	0.0793	0.3711
Fe	0.1275	0.2623	0.0837		Ni	−0.0456	0.0003	0.5377
Al	0.0873	0.0189	0.2375		B	−0.0372	−0.0204	0.6149
Cr	0.0849	0.0821	0.2504		Mo	−0.0227	−0.1123	0.7595
Co	0.0804	0.1554	0.2767		P	−0.0140	0.0918	0.8499
Ca	0.0766	0.0947	0.3000
Cu	0.0617	0.1186	0.4043
Ge	0.0551	0.2917	0.4566
Pb	0.0072	0.0486	0.9225
Cd	0.0051	0.1087	0.9446
Hg	0.0016	-0.0396	0.9833
Age	0.1491	0.1955	0.0428	*

Determination coefficient: 0.465
The relationship between cancer and minerals was analyzed with multiple logistic regression analysis of data for 24 minerals from 124 cancer patients and 86 control subjects
Part. coeff. partial correlation coefficient by logistic multiple regression analysis, Corr. coeff. simple correlation coefficient by simple regression analysis
Statistically significant association is shown with asterisk marks: *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001

ISSN: 1347-4715