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. 2017 Feb 16;16:9. doi: 10.1186/s12940-017-0214-8

Table 6.

Association between exposure and risk in ‘highly exposed’ individuals high exposure is defined as exposure levels above the 90th of the control exposure distribution, the odds of disease are compared with those in the lowest quartile of exposure

Exposure 90th percentile control exposure distribution n cases (%) above 90th percentile n controls(%) above 90th percentile OR 95% CI p-value OR(adj) 95% CI p-value
PCB118 316.2 35(13.0) 28(10.4) 1.37 (0.76,2.45) 0.294 1.25 (0.65,2.41) 0.500
PCB138 1112.4 25(9.3) 29(10.7) 0.83 (0.45,1.52) 0.550 0.81 (0.40,1.64) 0.562
PCB153 1965.7 29(10.7) 29(10.7) 1.01 (0.56,1.81) 0.987 1.15 (0.58,2.26) 0.693
PCB156 176.4 23(8.5) 28(10.4) 0.79 (0.43,1.45) 0.447 0.89 (0.43,1.81) 0.739
PCB170 626.6 29(10.7) 29(10.7) 1.00 (0.57,1.78) 0.989 1.07 (0.55,2.06) 0.843
PCB180 1323.3 29(10.7) 28(10.4) 1.05 (0.58,1.88) 0.872 1.11 (0.57,2.14) 0.763
HCB 872.8 25(9.3) 29(10.7) 0.80 (0.41,1.55) 0.506 0.84 (0.42,1.68) 0.624
DDE 9787.7 27(10) 28(10.4) 0.95 (0.50,1.80) 0.878 1.01 (0.52,1.97) 0.978

OR – conditional logistic regression accounting for matching factors

OR(adj) – conditional logistic regression additionally adjusting for BMI, height, educational level, vegetables, dairy, protein, total fat, alcohol

Matched case-control pairs with incomplete information on potential confounders were excluded from the adjusted analyses