Anthropometric risk factors for ovarian cancer in the NIH-AARP Diet and Health Study

Abstract

Objective: Identifying potentially modifiable risk factors for ovarian cancer is essential for prevention because this cancer is predominantly detected at a late stage. Here, we estimated the relations of general adiposity and measures reflecting body fat distribution to the risk of epithelial ovarian cancer. Methods: We ascertained 683 ovarian epithelial cancers (343 high-grade serous, 141 non-high grade serous) among 145,575 women, aged 50–72 years (median follow-up 12.6 years), from the National Institutes of Health—American Association of Retired Persons (NIH-AARP) Diet and Health Study. Using Cox models, we estimated confounder-adjusted hazard ratios (HRs) and 95% confidence intervals (CI) for associations of overall ovarian cancer, high-grade serous and non-high-grade serous carcinoma with body mass index, waist circumference, hip circumference, waist–hip ratio, waist–height ratio, body adiposity index, body shape index, and abdominal volume index. Results: Anthropometric measures were unrelated to overall ovarian cancer, high-grade serous cancer, and non-high-grade serous cancer. For example, the HR for overall ovarian cancer per standard deviation increment of body mass index at baseline was 0.98 (95% CI 0.88–1.10). Similar associations were observed with measurements of body fat distribution. Conclusion: These results do not indicate that adult adiposity is associated with ovarian cancer risk in post-menopausal women.