Is Body Mass Index the Best Adiposity Measure for Prostate Cancer Risk? Results From a Veterans Affairs Biopsy Cohort.

Journal Article (Journal Article)

Objective

To test multiple adiposity measures and prostate cancer (PC) risk in men undergoing prostate biopsy. We hypothesized that body mass index (BMI), body fat, and waist circumference would be highly correlated, and all would be associated with aggressive PC, but not overall risk.

Subjects and methods

A case (483)-control (496) study among men undergoing prostate biopsy from 2007 to 2016 was conducted at the Durham Veterans Affairs Medical Center. Anthropometric and self-reported measurements were taken. Percent body fat was measured. Associations between adiposity measures and PC risk and high-grade PC (Gleason ≥7) were examined using logistic regression.

Results

BMI, percent body fat, and waist circumference were highly correlated (ρ ≥ .79) (P < .001). On multivariable analysis, BMI (P = .011) was associated with overall PC risk, but percent body fat (P = .16) and waist circumference (P = .19) were not. However, all adiposity measurements were associated with high-grade disease (P < .001). We found a strong relationship between self-reported and measured weight (ρ = .97) and height (ρ = .92).

Conclusion

BMI, body fat, and waist circumference were all highly correlated and associated with aggressive PC. This study supports the idea that higher adiposity is selectively associated with high-grade PC and reinforces the continued use of self-reported BMI as a measure of obesity in epidemiologic studies of PC.

Full Text

Duke Authors

Cited Authors

  • Guerrios-Rivera, L; Howard, L; Frank, J; De Hoedt, A; Beverly, D; Grant, DJ; Hoyo, C; Freedland, SJ

Published Date

  • July 2017

Published In

Volume / Issue

  • 105 /

Start / End Page

  • 129 - 135

PubMed ID

  • 28408337

Pubmed Central ID

  • PMC5747369

Electronic International Standard Serial Number (EISSN)

  • 1527-9995

International Standard Serial Number (ISSN)

  • 0090-4295

Digital Object Identifier (DOI)

  • 10.1016/j.urology.2017.03.042

Language

  • eng