Table 9.

Breast cancer odds ratios (matched analysis) and menopausal status with BMI and selected risk factors and major sectors, by conditional logistic regression

Model/ Parameter	OR (95% CI)	OR (95% CI)	OR (95% CI)	OR (95% CI)
	Wald P	Wald P	Wald P	Wald P
	Premenopausal (373 cases)		Postmenopausal (633 cases)
		BMI		BMI
Body Mass Index	-	0.78 ( 0.61-0.99) 0.048	-	1.37 (1.12-1.68) 0.0023
Smoking, pk-yrs	1.04 (1.00-1.08) 0.030	1.04 (1.00-1.08) 0.028	1.01 (0.99-1.03)	1.01 (0.99-1.03)
Employ. duration	0.98 (0.91-1.06)	0.99 (0.91-1.07)	0.94 (0.90-0.98) 0.0050	0.94 (0.90-0.98) 0.0046
Farming	1.64 (0.78-3.46)	1.62 (0.76-3.44)	1.34 (0.97-1.85) 0.079	1.35 (0.97-1.87) 0.073
Metalworking	1.72 (0.57-5.22)	1.57 (0.51-4.82)	1.84 (0.97-3.49) 0.061	1.83 (0.96-3.46) 0.065
Bars, gambling	2.32 (0.40-13.5)	2.55 (0.44-14.7)	2.05 (0.74-5.66)	2.15 (0.76-6.06)
Auto plastics	5.10 (1.68-15.5) 0.004	4.76 (1.58-14.4) 0.006	2.29 (1.12-4.67) 0.023	2.25 (1.09-4.66) 0.028
Canning	5.20 (0.95-28.4) 0.056	5.70 (1.03-31.5) 0.046	1.62 (0.63-4.17)	1.47 (0.55-3.97)

Definition of pre/postmenopausal population: age at diagnosis (cases) or survey (controls) was less than /greater or equal to (age at menopause plus 5 year lag).

Odds ratios (OR) by conditional logistic regression in single models with terms for reproductive, demographic risk factors as in Table 4 and terms for employment duration, cumulative exposures in all major sectors (lagged 5 year) and for Pack-years of smoking, squared; P – p-value, two tailed.

OR for cumulative exposure evaluated at 10.0 year in high-exposed jobs (lagged 5 year), for a BMI increase from 25 to 35.