UC Irvine

Cancer registries routinely collect data on clinicopathologic factors, but rarely abstract anthropometric variables. We conducted a chart review study, examining the feasibility of abstracting weight, height, alcohol use, and smoking from medical records in women (n = 1,974) diagnosed with invasive breast cancer, and investigated the association between the abstracted variables with clinicopathologic features. Qualitative data were reviewed and categorized. Frequencies of the abstracted data, and demographic and clinicopathologic variables were calculated. Logistic regression models measured the relationship between the outcome variables, tumor size, stage of disease, and estrogen/progesterone (ER/PR) status with the abstracted variables. Data on current alcohol-use/no-use, current-smoker/non-smoker, and height/weight data were obtained on 96%, 97%, and 88-89% of the participants, respectively. The multivariate analysis showed that overweight (>or=25 kg/m(2)) women had significantly larger (>or=2 cm) tumor size compared with normal weight for both women <50 years (OR = 1.79; 95% CI = 1.14-2.81; p or=50 years at diagnosis (OR = 1.58; 95% CI = 1.19-2.09; p