Literature DB >> 19124516

Body composition, abdominal fat distribution, and prostate-specific antigen test results.

Andrew Rundle1, Catherine Richards, Alfred I Neugut.   

Abstract

BACKGROUND: There are competing theories explaining the observed inverse association between obesity and screening prostate-specific antigen (PSA) levels: (a) endocrine disturbances related to abdominal obesity influence PSA production and (b) increased plasma volume associated with obesity dilutes PSA. Under the endocrine disturbance hypothesis, fat mass, but not lean mass, and an abdominal distribution of fat are expected to be inversely associated with PSA levels. Under plasma volume dilution theory, PSA levels are inversely associated with both lean and fat mass and are independent of body fat distribution patterns.
METHODS: Data on weight, percent body fat measured by bioimpedance, and waist circumference from approximately 8,000 men undergoing routine PSA screening were evaluated. Multivariate linear regression analyses controlling for age and race/ethnicity were used to determine whether fat, lean mass, or waist circumference were associated with PSA.
RESULTS: PSA levels were significantly inversely associated with both lean and fat mass. In separate models, a 5-pound difference in lean mass and fat mass was associated, respectively with a -0.9% (P < 0.001) and -0.7% (P = 0.001) difference in PSA test results. In a model that simultaneously considered lean and fat mass, a 5-pound difference in lean mass and fat mass was associated, respectively, with a -0.6% (P = 0.03) and -0.4% (P = 0.08) difference in PSA test results. Controlling for body mass index, a 1-inch difference in waist circumference was associated with a +0.9% (P = 0.01) difference in PSA levels.
CONCLUSION: The results are more consistent with predictions arising from the volume dilution theory than the hormone disturbance theory.

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Year:  2009        PMID: 19124516     DOI: 10.1158/1055-9965.EPI-08-0247

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  5 in total

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Journal:  Genet Test Mol Biomarkers       Date:  2012-03-15

2.  Relationship between prostate-specific antigen, age, and body mass index in a prostate cancer screening population.

Authors:  Luke E Pater; Kimberly W Hart; Brian J Blonigen; Christopher J Lindsell; William L Barrett
Journal:  Am J Clin Oncol       Date:  2012-10       Impact factor: 2.339

3.  PSA and body composition by dual X-ray absorptiometry (DXA) in NHANES.

Authors:  Jay H Fowke; Charles E Matthews
Journal:  Prostate       Date:  2010-02-01       Impact factor: 4.104

4.  Body mass index as a classifier to predict biochemical recurrence after radical prostatectomy in patients with lower prostate-specific antigen levels.

Authors:  Keisuke Goto; Hirotaka Nagamatsu; Jun Teishima; Yuki Kohada; Shinsuke Fujii; Yoshimasa Kurimura; Koji Mita; Masanobu Shigeta; Satoshi Maruyama; Yoji Inoue; Mitsuru Nakahara; Akio Matsubara
Journal:  Mol Clin Oncol       Date:  2017-04-10

5.  Obese men have more advanced and more aggressive prostate cancer at time of surgery than non-obese men after adjusting for screening PSA level and age: results from two independent nested case-control studies.

Authors:  A S Parker; D D Thiel; E Bergstralh; R E Carlson; L J Rangel; R W Joseph; N Diehl; R J Karnes
Journal:  Prostate Cancer Prostatic Dis       Date:  2013-08-20       Impact factor: 5.554

  5 in total

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