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.

Brophy et al.

Brophy et al. Environmental Health 2012 11:87   doi:10.1186/1476-069X-11-87

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