Objective: To elucidate the association between anthropometric measures and ovarian cancer risk.
Methods: From a population-based study of 563 cases of ovarian cancer and 523 controls we recorded weight, both at index age and age 18, and height using an in-person questionnaire, and used these to calculate body mass index (BMI). Multivariate logistic regression was used to calculate the exposure odds ratios, adjusted for established risk factors, stratified, in turn, by menopausal status and histologic type of ovarian cancer.
Results: Height, weight, and BMI were unrelated to risk for ovarian cancer in the total group of cases and controls. After stratification by menopausal status, weight and BMI were associated positively with risk among premenopausal women, but did not affect risk postmenopausally. High BMI, weight, and height were most strongly related to risk of serous borderline cancer, particularly among premenopausal women. The association did not appear to be confined only to those overweight women with gynecologic problems such as irregular periods or ovarian cysts.
Conclusions: Weight and BMI are positively related to premenopausal ovarian cancer risk in this population-based case-control study. This association is particularly noted for serous borderline tumors. This may suggest the importance of endocrine factors, which are altered in overweight women, such as insulin or androgens.