Literature DB >> 11520654

Risk factors for clinical benign prostatic hyperplasia in a community-based population of healthy aging men.

J B Meigs1, B Mohr, M J Barry, M M Collins, J B McKinlay.   

Abstract

We defined risk factors for a clinical diagnosis of benign prostatic hyperplasia (BPH) among subjects of the population-based Massachusetts Male Aging Study. In 1987-89 1709 men aged 40-70 provided baseline risk factor data and were followed for a mean of 9 years; 1019 men without prostate cancer provided follow-up data. We classified men with clinical BPH at follow-up if they reported (1) frequent or difficulty urinating and were told by a health professional that they had an enlarged or swollen prostate or (2) if they reported having surgery for BPH. At follow-up the prevalence of clinical BPH was 19.4%, increasing from 8.4% of men aged 38-49 years to 33.5% of men aged 60-70 years (P < 0.001 for trend). Elevated free PSA levels (age- and total PSA-adjusted OR, top vs. bottom quartile ng/mL 4.4, 95% CI 1.9-10.5), heart disease (age-adjusted OR 2.1, CI 1.3-3.3), and use of beta-blocker medications (OR 1.8, CI 1.1-3.0) increased odds for BPH, while current cigarette smoking (OR 0.5, CI 0.3-0.8) and high levels of physical activity (top vs. bottom quartile kcals/day OR 0.5, CI 0.3-0.9) decreased odds of BPH. All but the medication effects persisted in fully adjusted multivariable models. Total or fat calorie intake, sexual activity level, alcohol intake, body mass index, waist-hip ratio, diastolic blood pressure, a history of diabetes, hypertension, vasectomy, or serum levels of androgens or estrogens did not individually predict clinical BPH. We conclude that physical exercise and cigarette smoking appear to protect against development of clinical BPH. Elevated free PSA levels predict clinical BPH independent of total PSA levels. Risk associated with heart disease does not appear to be due solely to detection bias or to effects of heart disease medications. A wide variety of other characteristics appear to have no influence on risk for clinical BPH.

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Year:  2001        PMID: 11520654     DOI: 10.1016/s0895-4356(01)00351-1

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  97 in total

Review 1.  The use of baseline clinical measures to predict those at risk for progression of benign prostatic hyperplasia.

Authors:  Edward D Kim
Journal:  Curr Urol Rep       Date:  2004-08       Impact factor: 3.092

2.  Association between physical activity, lower urinary tract symptoms (LUTS) and prostate volume.

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Review 3.  Treatment of benign prostatic hyperplasia in patients with cardiovascular disease.

Authors:  Vincent M Santillo; Franklin C Lowe
Journal:  Drugs Aging       Date:  2006       Impact factor: 3.923

4.  Prevalence of benign prostatic hyperplasia in a population-based study in Iranian men 40 years old or older.

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Journal:  Int Urol Nephrol       Date:  2008-02-02       Impact factor: 2.370

5.  Age-related histological and zinc content changes in adult nonhyperplastic prostate glands.

Authors:  Vladimir Zaichick; Sofia Zaichick
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Review 6.  The use of PDE-5 inhibitors in the treatment of lower urinary tract symptoms due to benign prostatic hyperplasia.

Authors:  Casey Lythgoe; Kevin T McVary
Journal:  Curr Urol Rep       Date:  2013-12       Impact factor: 3.092

7.  Obesity, physical activity and lower urinary tract symptoms: results from the Southern Community Cohort Study.

Authors:  David F Penson; Heather M Munro; Lisa B Signorello; William J Blot; Jay H Fowke
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8.  Self-management for men with lower urinary tract symptoms.

Authors:  Christian T Brown; Mark Emberton
Journal:  Curr Urol Rep       Date:  2009-07       Impact factor: 3.092

Review 9.  Dietary patterns, supplement use, and the risk of benign prostatic hyperplasia.

Authors:  Kenneth S Poon; Kevin T McVary
Journal:  Curr Urol Rep       Date:  2009-07       Impact factor: 3.092

10.  Obesity-induced diabetes and lower urinary tract fibrosis promote urinary voiding dysfunction in a mouse model.

Authors:  Mehrnaz Gharaee-Kermani; Jose A Rodriguez-Nieves; Rohit Mehra; Chad A Vezina; Aruna V Sarma; Jill A Macoska
Journal:  Prostate       Date:  2013-03-26       Impact factor: 4.104

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