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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)

  1. OR – odds ratio, 95% CI – 95% confidence interval, Ind – (0,1) indicator variable.
  2. Matching on age in 3 year- intervals.
  3. 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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Environmental Health

ISSN: 1476-069X