Table 6.
Breast cancer odds ratios (matched analysis) with cumulative exposures, in major sectors and for derived hypotheses, and interactions with prior agricultural work, by conditional logistic regression
| Model/Parameter | OR (95% CI) | Wald P |
|---|---|---|
|
Model 1 |
|
|
| Cumulative Exposure1 I (lagged 5 year) |
1.29 (1.10-1.51) |
0.0017 |
|
Model 2 |
|
|
| Cumulative Exposure2 II (lagged 5 year) |
1.42 (1.18-1.73) |
0.0003 |
|
Model 3 |
|
|
| Farming |
1.34 (1.03-1.74) |
0.031 |
| Non-plastic light mfg |
0.83 (0.29-2.37) |
0.73 |
| Chemical, petrochemical |
2.15 (0.0->100) |
0.82 |
| Plastics |
2.43 (1.39-4.22) |
0.0018 |
| Metalworking |
1.73 (1.02-2.92) |
0.041 |
| Transport |
0.84 (0.28-2.52) |
0.76 |
| Beauty care/laundry/dry cleaning |
1.02 (0.72-1.43) |
0.92 |
| Bars/gambling |
2.20 (0.91-5.29) |
0.078 |
|
Model 4 |
|
|
| Farming: all |
1.36 (1.01-1.82) |
0.044 |
| Farming: corn (since 1978) |
0.76 (0.09-6.69) |
0.80 |
| Farming: greenhouse workers |
1.04 (0.38-2.83) |
0.94 |
| Non-plastic light mfg |
0.87 (0.30-2.50) |
0.80 |
| Chemical, petrochemical |
1.47 (0.0->100) |
0.91 |
| Transport |
0.80 (0.25-2.54) |
0.71 |
| Beauty care/laundry/dry cleaning |
1.02 (0.72-1.43) |
0.92 |
| Bars/gambling |
2.28 (0.94-5.53) |
0.068 |
| Auto industry: plastics |
2.68 (1.47-4.88) |
0.0013 |
| Auto industry: small enterprises |
2.48 (1.00-6.10) |
0.051 |
| Auto industry: large enterprises |
1.18 (0.56-2.50) |
0.66 |
| Canning |
2.35 (1.00-5.53) |
0.050 |
| Healthcare workers |
1.01 (0.87-1.18) |
0.89 |
| Toll booth workers |
1.17 (0.44-3.14) |
0.76 |
|
Model 5 |
|
|
| Farming: all |
1.35 (1.00-1.82) |
0.049 |
| Farming: corn (since 1978) |
0.64 (0.07-5.78) |
0.69 |
| Farming: greenhouse workers |
0.95 (0.35-2.60) |
0.92 |
| Non-plastic light mfg |
0.86 (0.30-2.49) |
0.78 |
| Chemical, petrochemical |
1.56 (0.0->100) |
0.90 |
| Metalworking |
1.71 (0.99-2.95) |
0.055 |
| Metalworkingl… IpAg |
1.04 (0.89-1.21) |
0.64 |
| Transport |
0.82 (0.27-2.55) |
0.74 |
| Beauty care/laundry/dry cleaning |
1.03 (0.73-1.45) |
0.87 |
| Bars, gambling |
1.79 (0.67-4.73) |
0.24 |
| Bars, gambling … IpAg |
2.38 (0.58-9.79) |
0.23 |
| Auto industry: plastics |
2.41 (1.31-4.44) |
0.0048 |
| Auto plastics… IpAg |
2.31 (0.53-9.98) |
0.26 |
| Canning |
1.90 (0.72-4.99) |
0.19 |
| Canning … IpAg |
1.14 (0.83-1.56) |
0.43 |
| Healthcare workers |
1.05 (0.89-1.24) |
0.54 |
| Healthcare… IpAg |
0.96 (0.91-1.02) |
0.20 |
| Toll booth workers | 1.17 (0.43-3.13) | 0.76 |
All five models include reproductive, demographic risk factors as in Table 4 and employment duration terms; IpAg, interaction with farming: cumulative (sector rating × prior cum. exposure in agriculture).
Odds ratios (OR) evaluated at 10 years in high-exposed jobs (lagged 5 year) or, for interactions, at 10 years in high-exposed jobs and 1 year in prior high-exposed farm work; matching on age in 3-year intervals; for including employment duration terms: χ2 (2df) =10.9, p=0.025 (Model 4).
1. cumulative exposure on transformed ratings: 1 (low), 2 (moderate), 3 (high) → 0, 1, 2, as rating-year.
2. cumulative exposure on transformed ratings: 1 (low), 2 (moderate), 3 (high) → 0, 1, 10, as rating-year, except bars/gambling and toll booth workers (maximum rating = 1; no jobs rated high).