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Table 1 Logistic regression analysis of measured factors

From: Nulliparity enhances the risk of second primary malignancy of the breast in a cohort of women treated for thyroid cancer

Variable Univariate analysis Multivariate analysis
  Odds ratio (95% CI) P value Odds ratio (95% CI) P value
Age at first tumor 1.06 (0.98 - 1.14) 0.14 1.07 (0.97 - 1.18) 0.16
Weight 0.96 (0.89-1.04) 0.33 0.98* (0.90-1.07) 0.65*
Child 0.15 (0.03-0.86) 0.03 0.08 (0.01-0.94) 0.04
Smoke 5.33 (0.59-48.33) 0.72 4.79 (0.43-53.25) 0.20
Physical activity 0.32 (0.03-2.88) 0.31 0.17 (0.01-4.15) 0.28
Concurrent metabolic diseases 0.82 (0.15 - 4.40) 0.82 0.08 (0.00 - 1.56) 0.10
Family history of breast cancer 2.65 (0.49-14.41) 0.26 1.06* (0.10 - 0.88) 0.96*
  1. The multivariate model considered as the most accurate includes as selected covariate only: age at first tumor, child, smoke, physical activity and concurrent metabolic diseases, expressed as dichotomous variables (yes/no). Weight and family history were excluded due to high p-value i.e. p > 0.6.
  2. Hosmer Lemeshow test for goodness of fit was not statistically significant (p = 0.07), indicating a good quality of the model itself.
  3. * the odds ratios for weight and family history of breast cancer are from the "full" model which includes all the covariates in the table.