Breast cancer risk in relation to occupations with exposure to carcinogens and endocrine disruptors: a Canadian case–control study

James T Brophy; Margaret M Keith; Andrew Watterson; Robert Park; Michael Gilbertson; Eleanor Maticka-Tyndale; Matthias Beck; Hakam Abu-Zahra; Kenneth Schneider; Abraham Reinhartz; Robert DeMatteo; Isaac Luginaah

doi:10.1186/1476-069X-11-87

Environmental Health

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

From: Breast cancer risk in relation to occupations with exposure to carcinogens and endocrine disruptors: a Canadian case–control study

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.

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