Pesticides, cancer, and oxidative stress: an application of machine learning to NHANES data

Environmental Sciences Europe

Table 1 Correlation analysis between demographic factors and outcome variables

	Colon cancer (n = 4310)		Skin cancer (non-melanoma) (n = 4310)		Melanoma(n = 4310)		Skin cancer (other types) (n = 4310)		Prostate cancer (n = 2084)		Breast cancer (n = 2226)		Cervix cancer (n = 2226)		P value
	Yes	Not	Yes	Not	Yes	Not	Yes	Not	Yes	Not	Yes	Not	Yes	Not
Age	67.95	46.98	62.58	46.69	66.87	46.99	64.36	46.93	72.25	49.16	65.55	46.95	48.54	47.55	0.001
Gender															0.001
Male	33.8	48.4	49.9	48.2	56.8	48.2	73.8	48.0
Female	66.2	51.6	50.1	51.8	43.2	51.8	26.2	52.0
Race/Ethnicity															0.001
Mexican American	1.0	8.1	0.1	8.3	0	8.1	0	8.1	3.5	8.7	1.9	7.7	2.9	7.5
Other hispanic	0	5.4	0.8	5.5	3.2	5.4	0.6	5.4	2.4	5.4	3.2	5.4	3.2	5.3
Non-Hispanic White	90.2	68.7	94.5	68.1	96.8	68.7	99.4	68.5	77.2	68.9	80.7	68.3	76.1	68.6
Non-hispanic black	7.5	10.5	0.4	10.7	0	10.5	0	10.6	13.8	9.6	7.4	11.4	8.2	11.3
Other Race—including multi-racial	1.2	7.4	4.2	7.4	0	7.4	0	7.4	3.2	7.4	6.9	7.3	9.5	7.3
Education level															0.001
High school graduate or below	48.5	35.9	19.9	36.4	19.4	36.1	36.8	36.0	40.1	37.9	31	34.2	47.7	33.9
Some college	28.6	32.6	38.7	32.4	47.4	32.4	29.1	32.6	24.8	29.6	29.9	35.5	29.5	35.4
College graduate or above	22.9	31.6	41.4	31.2	33.1	31.5	34.1	31.5	35.1	32.5	39.1	30.3	22.8	30.7
Marital status															0.001
Married or living with partner	60.1	63.2	68.8	63.0	60.9	63.2	76.6	63.0	78.6	65.4	53.7	61.2	42.8	61.2
Singled	39.9	36.8	31.2	37.0	39.1	36.8	23.4	37.0	21.4	34.6	46.3	38.8	57.2	38.8
PIR															0.001
< = 130%	23.5	22.7	10.9	23.1	6.0	22.8	11.9	22.9	13.8	20.9	13.2	25.0	20.8	24.6
130–338%	48.7	33.0	21.8	33.5	14.1	33.3	39.8	33.1	40.8	31.5	41.5	34.3	50.1	34.3
> = 338%	27.8	44.2	67.2	43.5	80.0	43.9	48.3	44.1	45.4	47.6	45.3	40.8	29.1	41.1

Figures (for mean age) are expressed as mean, other figures are expressed as percent