Literature DB >> 19739130

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

Jay H Fowke1, Charles E Matthews.   

Abstract

BACKGROUND: Obese men are at higher risk for advanced prostate cancer and have a poorer prognosis following treatment. Several studies also report that obese men have lower blood PSA levels, suggesting that obesity may be interfering with the ability to detect early-stage prostate cancer.
METHODS: Dual X-ray absorptiometry (DXA) is considered a gold-standard measurement of body composition. We investigated the association between PSA levels and body composition measured by DXA among 1,360 men participating in NHANES (2001-2004), a representative sample of the U.S. male population.
RESULTS: After controlling for age, race, and other factors, PSA concentration was approximately 15% lower for men with the highest level of total mass, lean mass, fat mass, trunk lean mass, and trunk fat mass (all P for trend <0.05). We then multiplied PSA concentration by estimated plasma volume to calculate the amount of PSA in circulation (i.e., PSA mass). Total body fat mass and fat mass located in the body trunk were not significantly associated with PSA mass, however, PSA mass was approximately 10-15% higher across low versus high categories of total body lean mass and bone mineral content (all P-trend <0.05).
CONCLUSION: Our results using DXA to measure body composition confirm that a greater body mass, not just fat mass, is associated with a lower PSA concentration. This is consistent with PSA hemodilution within men with a higher body mass index. The separate associations between measured lean and fat mass on calculated PSA mass require further investigation.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 19739130      PMCID: PMC2798924          DOI: 10.1002/pros.21039

Source DB:  PubMed          Journal:  Prostate        ISSN: 0270-4137            Impact factor:   4.104


  17 in total

1.  A formula to estimate the approximate surface area if height and weight be known. 1916.

Authors:  D Du Bois; E F Du Bois
Journal:  Nutrition       Date:  1989 Sep-Oct       Impact factor: 4.008

2.  The association between body size, prostate volume and prostate-specific antigen.

Authors:  J H Fowke; S S Motley; M S Cookson; R Concepcion; S S Chang; M L Wills; J A Smith
Journal:  Prostate Cancer Prostatic Dis       Date:  2006-12-19       Impact factor: 5.554

3.  Simplified calculation of body-surface area.

Authors:  R D Mosteller
Journal:  N Engl J Med       Date:  1987-10-22       Impact factor: 91.245

4.  Calculation of percentage changes in volumes of blood, plasma, and red cells in dehydration.

Authors:  D B Dill; D L Costill
Journal:  J Appl Physiol       Date:  1974-08       Impact factor: 3.531

5.  Relationship between total body water and surface area in normal and obese subjects.

Authors:  R Hume; E Weyers
Journal:  J Clin Pathol       Date:  1971-04       Impact factor: 3.411

6.  Estimated lean body mass as an index for normalization of body fluid volumes in humans.

Authors:  P Boer
Journal:  Am J Physiol       Date:  1984-10

7.  Plasma volume changes with movement to supine and standing positions.

Authors:  R D Hagan; F J Diaz; S M Horvath
Journal:  J Appl Physiol Respir Environ Exerc Physiol       Date:  1978-09

Review 8.  Blood volume: importance and adaptations to exercise training, environmental stresses, and trauma/sickness.

Authors:  M N Sawka; V A Convertino; E R Eichner; S M Schnieder; A J Young
Journal:  Med Sci Sports Exerc       Date:  2000-02       Impact factor: 5.411

9.  Obesity-related plasma hemodilution and PSA concentration among men with prostate cancer.

Authors:  Lionel L Bañez; Robert J Hamilton; Alan W Partin; Robin T Vollmer; Leon Sun; Carmen Rodriguez; Yiting Wang; Martha K Terris; William J Aronson; Joseph C Presti; Christopher J Kane; Christopher L Amling; Judd W Moul; Stephen J Freedland
Journal:  JAMA       Date:  2007-11-21       Impact factor: 56.272

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

Authors:  Andrew Rundle; Catherine Richards; Alfred I Neugut
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-01       Impact factor: 4.254

View more
  16 in total

1.  The likelihood of having a serum PSA level of ≥2.5 ng/mL according to the degree of fatty liver disease in a screened population.

Authors:  Jong Hyun Yoon; Hee Jo Yang; Jae Heon Kim; Seung Whan Doo; Won Jae Yang; Jiyoung Hwang; Seong Sook Hong; Suyeon Park; Dae Yeon Cho
Journal:  Can Urol Assoc J       Date:  2015-12-14       Impact factor: 1.862

2.  An inverse association of body mass index and prostate-specific antigen in northwest men of China: a population-based analysis.

Authors:  Jianqin Zhang; Binwu Sheng; Mao Ma; Xunyi Nan
Journal:  Int J Clin Exp Med       Date:  2015-03-15

3.  Associations between self-reported and objectively measured physical activity, sedentary behavior and overweight/obesity in NHANES 2003-2006.

Authors:  M Wanner; A Richard; B Martin; D Faeh; S Rohrmann
Journal:  Int J Obes (Lond)       Date:  2016-09-28       Impact factor: 5.095

4.  The associations between statin use and prostate cancer screening, prostate size, high-grade prostatic intraepithelial neoplasia (PIN), and prostate cancer.

Authors:  Jay H Fowke; Saundra S Motley; Daniel A Barocas; Michael S Cookson; Raoul Concepcion; Susan Byerly; Joseph A Smith
Journal:  Cancer Causes Control       Date:  2010-12-19       Impact factor: 2.506

5.  Total, free, and complexed prostate-specific antigen levels among US men, 2007-2010.

Authors:  David A Lacher; Jeffery P Hughes
Journal:  Clin Chim Acta       Date:  2015-06-18       Impact factor: 3.786

6.  Association between biomarkers of obesity and risk of high-grade prostatic intraepithelial neoplasia and prostate cancer--evidence of effect modification by prostate size.

Authors:  Jay H Fowke; Saundra Motley; Qi Dai; Raoul Concepcion; Daniel A Barocas
Journal:  Cancer Lett       Date:  2012-10-16       Impact factor: 8.679

7.  Diabetes and prostate cancer screening in black and white men.

Authors:  Maureen Sanderson; Jay H Fowke; Loren Lipworth; Xijing Han; Flora Ukoli; Ann L Coker; William J Blot; Margaret K Hargreaves
Journal:  Cancer Causes Control       Date:  2013-07-17       Impact factor: 2.506

8.  The likelihood of having a serum PSA level of ≥2.5 or ≥4.0 ng ml(-1) according to obesity in a screened Korean population.

Authors:  Won Jae Yang
Journal:  Asian J Androl       Date:  2013-08-05       Impact factor: 3.285

9.  Associations of body mass index, smoking, and alcohol consumption with prostate cancer mortality in the Asia Cohort Consortium.

Authors:  Jay H Fowke; Dale F McLerran; Prakash C Gupta; Jiang He; Xiao-Ou Shu; Kunnambath Ramadas; Shoichiro Tsugane; Manami Inoue; Akiko Tamakoshi; Woon-Puay Koh; Yoshikazu Nishino; Ichiro Tsuji; Kotaro Ozasa; Jian-Min Yuan; Hideo Tanaka; Yoon-Ok Ahn; Chien-Jen Chen; Yumi Sugawara; Keun-Young Yoo; Habibul Ahsan; Wen-Harn Pan; Mangesh Pednekar; Dongfeng Gu; Yong-Bing Xiang; Catherine Sauvaget; Norie Sawada; Renwei Wang; Masako Kakizaki; Yasutake Tomata; Waka Ohishi; Lesley M Butler; Isao Oze; Dong-Hyun Kim; San-Lin You; Sue K Park; Faruque Parvez; Shao-Yuan Chuang; Yu Chen; Jung Eun Lee; Eric Grant; Betsy Rolland; Mark Thornquist; Ziding Feng; Wei Zheng; Paolo Boffetta; Rashmi Sinha; Daehee Kang; John D Potter
Journal:  Am J Epidemiol       Date:  2015-08-04       Impact factor: 4.897

10.  Concordance between muscle mass assessed by bioelectrical impedance analysis and by dual energy X-ray absorptiometry: a cross-sectional study.

Authors:  Fanny Buckinx; Jean-Yves Reginster; Nadia Dardenne; Jean-Louis Croisiser; Jean-François Kaux; Charlotte Beaudart; Justine Slomian; Olivier Bruyère
Journal:  BMC Musculoskelet Disord       Date:  2015-03-18       Impact factor: 2.362

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.