Table 4.
Matched case–control analysis for breast cancer incidence with classification on minor sector of longest duration, and reproductive and demographic risk factors: full model, by conditional logistic regression
| Parameter | Estimate | Chi-Sq | Wald P | OR (95% CI) |
|---|---|---|---|---|
| Ind: never pregnant |
−0.078 |
0.23 |
0.64 |
0.93 (0.67-1.28) |
| Number of full-term pregnancies |
−0.054 |
4.05 |
0.044 |
0.95 (0.90-1.00) |
| Duration fecundity, year |
0.025 |
14.94 |
0.0001 |
1.03 (1.01-1.04) |
| Total breastfeeding, mo |
−0.004 |
0.93 |
0.33 |
1.00 (0.99-1.00) |
| Ind: education < high-school |
0.387 |
7.34 |
0.0067 |
1.47 (1.11-1.95) |
| Ind: education > high-school and some college |
−0.099 |
0.81 |
0.37 |
0.91 (0.73-1.12) |
| Ind: family income >= $40,000 and bluecollar |
−0.559 |
15.98 |
<.0001 |
0.57 (0.44-0.75) |
| Ind: family income >= $40,000 and whitecollar |
−0.464 |
15.90 |
<.0001 |
0.63 (0.50-0.79) |
| Pack-years of smoking (lagged 5 year) |
0.019 |
4.54 |
0.033 |
1.02 (1.00-1.04) |
| Pack-years of smoking, squared |
−3.3 10-4 |
3.00 |
0.083 |
1.00 (1.00-1.00) |
|
Minor sector of longest duration (lagged 5 year) | ||||
| Agriculture/plants |
0.219 |
0.39 |
0.53 |
1.25 (0.63-2.47) |
| Agriculture/animals |
0.696 |
0.79 |
0.37 |
2.01 (0.43-9.28) |
| Mining |
−1.782 |
0.30 |
0.59 |
0.17 (0.00-102.) |
| Power Generation/distribution |
0.435 |
0.37 |
0.54 |
1.55 (0.38-6.31) |
| Construction |
0.245 |
0.15 |
0.70 |
1.28 (0.37-4.46) |
| Food manufacturing |
0.812 |
3.53 |
0.060 |
2.25 (0.97-5.26) |
| Liquor/beer/wine |
−0.849 |
2.29 |
0.13 |
0.43 (0.14-1.29) |
| Tobacco manufacturing |
−0.984 |
0.44 |
0.51 |
0.37 (0.02-6.83) |
| Textile manufacturing |
0.549 |
0.49 |
0.48 |
1.73 (0.37-8.04) |
| Wood manufacturing |
−0.109 |
0.01 |
0.92 |
0.90 (0.11-7.05) |
| Printing |
−0.307 |
0.26 |
0.61 |
0.74 (0.23-2.40) |
| Petroleum, petrochemical, chemical mfr |
−0.294 |
0.24 |
0.63 |
0.75 (0.23-2.43) |
| Plastics manufacturing (non-auto) |
−3.211 |
0.75 |
0.39 |
0.04 (0.00-58.0) |
| Plastics manufacturing (auto) |
1.137 |
6.34 |
0.012 |
3.12 (1.29-7.55) |
| Glass, ceramic manufacturing |
−0.895 |
0.47 |
0.49 |
0.41 (0.03-5.24) |
| Metallurgical, metalworking and fabrication |
0.118 |
0.18 |
0.67 |
1.13 (0.65-1.94) |
| Electrical and electronics manufacturing |
−0.357 |
0.06 |
0.81 |
0.70 (0.04-12.3) |
| Jewelry, furniture manufacturing |
−2.141 |
2.86 |
0.091 |
0.12 (0.01-1.41) |
| Retail |
−0.470 |
3.60 |
0.058 |
0.63 (0.39-1.02) |
| Transportation |
−0.258 |
0.58 |
0.45 |
0.77 (0.40-1.50) |
| Media, culture |
−0.688 |
3.05 |
0.081 |
0.50 (0.23-1.09) |
| Administration (non educ, non healthcare) |
0.000 |
0.00 |
0.99 |
1.00 (0.62-1.61) |
| Education |
0.032 |
0.02 |
0.90 |
1.03 (0.62-1.71) |
| Healthcare |
−0.104 |
0.18 |
0.67 |
0.90 (0.56-1.46) |
| Entertainment |
−0.943 |
2.51 |
0.11 |
0.39 (0.12-1.25) |
| Hotels and motels |
−0.090 |
0.02 |
0.89 |
0.91 (0.26-3.19) |
| Beauty salon/hair care |
−0.491 |
1.45 |
0.23 |
0.61 (0.28-1.36) |
| Drycleaning, laundry |
1.000 |
1.54 |
0.21 |
2.72 (0.56-13.2) |
| Bars, gaming/gambling | 0.582 | 1.59 | 0.21 | 1.79 (0.73-4.41) |
OR – odds ratio, 95% CI – 95% confidence interval, Ind – (0,1) indicator variable.
Matching on age in 3 year- intervals.
Reference category: minor sector = Restaurants, food services / age = 40 / Education = high-school or some college / blue collar / Family annual income < $40,000 / Ever-pregnant, zero births / non smoker.