Literature DB >> 25794458

Anthropometric Measures at Multiple Times Throughout Life and Prostate Cancer Diagnosis, Metastasis, and Death.

Axel Gerdtsson1, Jessica B Poon2, Daniel L Thorek3, Lorelei A Mucci4, Michael J Evans5, Peter Scardino6, Per-Anders Abrahamsson7, Peter Nilsson8, Jonas Manjer9, Anders Bjartell7, Johan Malm10, Andrew Vickers5, Stephen J Freedland11, Hans Lilja12, David Ulmert13.   

Abstract

BACKGROUND: Previous studies of prostate cancer (PCa) risk and anthropometrics (ie, body measurements) were based on single measurements or obtained over limited time spans.
OBJECTIVE: To study the association between anthropometrics measured at multiple time points in life and their relation to later diagnosis, metastasis, or death from PCa. DESIGN, SETTING, AND PARTICIPANTS: This case-control study includes 27 167 Swedish men enrolled in two population-based projects from 1974 to 1996. PCa diagnosis up to December 31, 2006, disease information, gestation time, and anthropometrics at birth, military conscript testing, and adulthood were collected. A total of 1355 PCa cases were matched with 5271 controls. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Univariate conditional logistic regression was used to determine whether clinical diagnosis, metastasis, or PCa death was associated with low birth weight (weight <2500 g); with small size for gestational age; or with weight, length, or body mass index (BMI) at birth, adolescence (aged 16-22 yr), or early middle age (aged 44-50 yr). RESULTS AND LIMITATIONS: Apart from weight at adolescence, which was associated with an increased risk of PCa diagnosis (odds ratio [OR] per 5 kg: 1.05; 95% confidence interval [CI], 1.01-1.09; p=0.026), preadulthood measurements were not associated with any PCa end point. Adulthood parameters were not associated with diagnosis. In contrast, weight and BMI at early middle age were significantly associated with metastasis (OR per 5 kg: 1.13; 95% CI, 1.06-1.20; p<0.0001, and OR: 1.09; 95% CI, 1.05-1.14; p<0.0001) and death (OR per 5 kg: 1.11 (95% CI, 1.03-1.19; p=0.005, and OR: 1.08; 95% CI, 1.03-1.13; p=0.003), respectively. It remains unclear whether these results apply to men of nonwhite origin, to populations with active PCa screening programs, or to countries without socialized health care.
CONCLUSIONS: The analyses of these large data sets demonstrate that significant effects of body characteristics (with links to metabolic syndrome) measured at early middle age are associated with PCa disease severity, metastatic progression, and outcome. Conversely, measurements at birth and adolescence are not associated with PCa prevalence or outcome. PATIENT
SUMMARY: Increased weight and body mass index in adults is associated with a higher risk of prostate cancer metastasis and death.
Copyright © 2015 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Exposure windows; Long-term risk predictions; Metabolic syndrome–associated anthropometrics; Prostate cancer; Risk factors

Mesh:

Year:  2015        PMID: 25794458      PMCID: PMC4573834          DOI: 10.1016/j.eururo.2015.03.017

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  41 in total

1.  Body mass index and risk of BPH: a meta-analysis.

Authors:  S Wang; Q Mao; Y Lin; J Wu; X Wang; X Zheng; L Xie
Journal:  Prostate Cancer Prostatic Dis       Date:  2011-12-20       Impact factor: 5.554

2.  Weight change and prostate cancer incidence and mortality.

Authors:  Julie K Bassett; Gianluca Severi; Laura Baglietto; Robert J MacInnis; Hoa N Hoang; John L Hopper; Dallas R English; Graham G Giles
Journal:  Int J Cancer       Date:  2012-02-28       Impact factor: 7.396

3.  Prospective study on metabolic factors and risk of prostate cancer.

Authors:  Christel Häggström; Tanja Stocks; David Ulmert; Tone Bjørge; Hanno Ulmer; Göran Hallmans; Jonas Manjer; Anders Engeland; Gabriele Nagel; Martin Almqvist; Randi Selmer; Hans Concin; Steinar Tretli; Håkan Jonsson; Pär Stattin
Journal:  Cancer       Date:  2012-10-22       Impact factor: 6.860

4.  Validation of metabolic syndrome score by confirmatory factor analysis in children and adults and prediction of cardiometabolic outcomes in adults.

Authors:  Anna Viitasalo; Timo A Lakka; David E Laaksonen; Kai Savonen; Hanna-Maaria Lakka; Maija Hassinen; Pirjo Komulainen; Tuomo Tompuri; Sudhir Kurl; Jari A Laukkanen; Rainer Rauramaa
Journal:  Diabetologia       Date:  2014-01-24       Impact factor: 10.122

Review 5.  Effect of metabolic syndrome and its components on prostate cancer risk: meta-analysis.

Authors:  K Esposito; P Chiodini; A Capuano; G Bellastella; M I Maiorino; E Parretta; A Lenzi; D Giugliano
Journal:  J Endocrinol Invest       Date:  2013-02       Impact factor: 4.256

Review 6.  Obesity and prostate cancer: weighing the evidence.

Authors:  Emma H Allott; Elizabeth M Masko; Stephen J Freedland
Journal:  Eur Urol       Date:  2012-11-15       Impact factor: 20.096

7.  Childhood height and birth weight in relation to future prostate cancer risk: a cohort study based on the copenhagen school health records register.

Authors:  Michael B Cook; Michael Gamborg; Julie Aarestrup; Thorkild I A Sørensen; Jennifer L Baker
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-10-02       Impact factor: 4.254

Review 8.  Birth weight and long-term overweight risk: systematic review and a meta-analysis including 643,902 persons from 66 studies and 26 countries globally.

Authors:  Karen Schellong; Sandra Schulz; Thomas Harder; Andreas Plagemann
Journal:  PLoS One       Date:  2012-10-17       Impact factor: 3.240

Review 9.  Metabolic syndrome and risk of cancer: a systematic review and meta-analysis.

Authors:  Katherine Esposito; Paolo Chiodini; Annamaria Colao; Andrea Lenzi; Dario Giugliano
Journal:  Diabetes Care       Date:  2012-11       Impact factor: 19.112

10.  Strategy for detection of prostate cancer based on relation between prostate specific antigen at age 40-55 and long term risk of metastasis: case-control study.

Authors:  Andrew J Vickers; David Ulmert; Daniel D Sjoberg; Caroline J Bennette; Thomas Björk; Axel Gerdtsson; Jonas Manjer; Peter M Nilsson; Anders Dahlin; Anders Bjartell; Peter T Scardino; Hans Lilja
Journal:  BMJ       Date:  2013-04-15
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  4 in total

1.  Overall and abdominal obesity and prostate cancer risk in a West African population: An analysis of the Ghana Prostate Study.

Authors:  Lauren M Hurwitz; Edward D Yeboah; Richard B Biritwum; Yao Tettey; Andrew A Adjei; James E Mensah; Evelyn Tay; Vicky Okyne; Ann Truelove; Scott P Kelly; Cindy Ke Zhou; Eboneé N Butler; Robert N Hoover; Ann W Hsing; Michael B Cook
Journal:  Int J Cancer       Date:  2020-05-06       Impact factor: 7.316

2.  Long-term prediction of prostate cancer diagnosis and death using PSA and obesity related anthropometrics at early middle age: data from the malmö preventive project.

Authors:  Melissa J Assel; Axel Gerdtsson; Daniel L J Thorek; Sigrid V Carlsson; Johan Malm; Peter T Scardino; Andrew Vickers; Hans Lilja; David Ulmert
Journal:  Oncotarget       Date:  2017-12-05

3.  Early life factors in relation to albuminuria and estimated glomerular filtration rate based on cystatin C and creatinine in adults from a Swedish population-based cohort study.

Authors:  Agne Laucyte-Cibulskiene; Shantanu Sharma; Anders Christensson; Peter M Nilsson
Journal:  J Nephrol       Date:  2021-10-08       Impact factor: 3.902

Review 4.  Is birthweight associated with total and aggressive/lethal prostate cancer risks? A systematic review and meta-analysis.

Authors:  Cindy Ke Zhou; Siobhan Sutcliffe; Judith Welsh; Karen Mackinnon; Diana Kuh; Rebecca Hardy; Michael B Cook
Journal:  Br J Cancer       Date:  2016-03-01       Impact factor: 7.640

  4 in total

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