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Table 3 Association between pesticide exposure and cancer

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

 

2,4-D

4-fluoro-3-phenoxybenzoic

3-phenoxybenzoic acid

Oxypyrimidine

Paranitrophenol

Dichlorovnl-dimeth prop carboacid

P value

Model 1

Model 2

Model 1

Model 2

Model 1

Model 2

Model 1

Model 2

Model 1

Model 2

Model 1

Model 2

 

Colon cancer

1.966 (1.960–1.972)

1.596 (1.591–1.600)

1.678 (1.673–1.683)

1.326 (1.322–1.331)

1.828 (1.821–1.834)

2.224 (2.216–2.232)

0.939 (0.936–0.942)

0.812 (0.809–0.814)

0.421 (0.420–0.422)

0.423 (0.422–0.424)

0.466 (0.464–0.468)

0.48(0.479–0.482)

0.001

Skin cancer (non-melanoma)

1.373 (1.371–1.375)

1.071 (1.069–1.072)

1.317 (1.315–1.319)

1.176 (1.174–1.178)

0.46 (0.460–0.461)

0.492 (0.491–0.492)

0.391 (0.390–0.391)

0.331 (0.331–0.332)

0.919 (0.917–0.921)

0.889 (0.887–0.891)

2.408 (2.405–2.411)

2.303(2.300–2.306)

0.001

Melanoma

1.020 (1.017–1.022)

0.699 (0.698–0.701)

1.321 (1.317–1.326)

1.207 (1.203–1.212)

0.674 (0.672–0.675)

0.774 (0.771–0.776)

0.394 (0.392–0.395)

0.305 (0.304–0.307)

0.933 (0.930–0.936)

0.831 (0.828–0.834)

0.771 (0.768–0.773)

0.709(0.707–0.711)

0.001

Skin cancer (other types)

1.137 (1.135–1.139)

0.748 (0.747–0.750)

0.187 (0.186–0.188)

0.158 (0.158–0.159)

1.204 (1.201–1.207)

1.26 (1.257–1.263)

1.131 (1.129–1.133)

1.019 (1.016–1.021)

1.630 (1.624–1.637)

1.557 (1.552–1.563)

0.781 (0.78–0.783)

0.795(0.793–0.797)

0.001

Prostate cancer

2.891 (2.882–2.901)

1.689 (1.683–1.695)

1.195 (1.192–1.199)

0.911 (0.908–0.914)

1.445 (1.440–1.449)

1.355 (1.351–1.360)

1.864 (1.860–1.868)

1.465 (1.462–1.468)

4.168 (4.135–4.201)

3.939 (3.908–3.971)

0.454 (0.452–0.455)

0.47 (0.469–0.472)

0.001

Breast cancer

0.671 (0.670–0.672)

0.51 (0.51–0.511)

1.018 (1.016–1.020)

0.926 (0.923–0.928)

0.745 (0.744–0.746)

0.895 (0.893–0.896)

1.700 (1.697–1.702)

1.506 (1.503–1.508)

0.782 (0.780–0.783)

0.695 (0.694–0.697)

0.720 (0.718–0.721)

0.666 (0.664–0.667)

0.001

Cervix cancer

0.813 (0.811–0.815)

0.831 (0.829–0.832)

1.949 (1.944–1.954)

1.806 (1.801–1.810)

1.130 (1.127–1.134)

1.215 (1.211–1.218)

1.669 (1.666–1.673)

1.656 (1.653–1.660)

1.313 (1.308–1.319)

1.232 (1.227–1.237)

2.007 (2.003–2.012)

2.237 (2.232–2.242)

0.001

  1. Model 1: multiple logistic regression prediction model without adjustment for covariates
  2. Model 2: multiple logistic regression prediction model after adjusting covariates (including age, race, education level, marital status, PIR)
  3. Bold indicates when the OR values showed a clear and stable positive or negative correlation with the levels of oxidative stress markers