Abstract

You have accessJournal of UrologyBenign Prostatic Hyperplasia: Epidemiology & Natural History1 Apr 2014PD21-09 THE INFLUENCE OF GLOBAL HEALTH ON URINARY AND SEXUAL FUNCTION IN MALES – ANALYSIS OF CARDIOVASCULAR AND METABOLIC RISK SCORES AND PSYCHOMETRIC TESTS Roberto Soler, Alexandre Ferreira, Renato Holcman, Fabricio Beltrame, Raquel Conceição, Viviane Tabone, and Rogerio Simonetti Roberto SolerRoberto Soler More articles by this author , Alexandre FerreiraAlexandre Ferreira More articles by this author , Renato HolcmanRenato Holcman More articles by this author , Fabricio BeltrameFabricio Beltrame More articles by this author , Raquel ConceiçãoRaquel Conceição More articles by this author , Viviane TaboneViviane Tabone More articles by this author , and Rogerio SimonettiRogerio Simonetti More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2014.02.1686AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail Introduction and Objectives Lower urinary tract symptoms (LUTS) and erectile dysfunction (ED) are associated conditions, probably sharing pathophysiological mechanisms. The influence of comorbidities (diabetes, metabolic syndrome and hypertension) on both conditions has been described. The aim of this study was to evaluate the association of cardiovascular and metabolic risk scores and psychometric status with male LUTS and DE. Methods Data from men 40 years or older undergoing global health check-up from jan-2007 to jul-2013 at a single institution (n=10,931) were reviewed. They underwent clinical and specialized assessments and were categorized by risk scores for cardiovascular events (Framingham) and diabetes (Finnish Diabetes Risk Score - FINDRISC). They also responded psychometric tests for depression (Beck) and stress. The urological assessment included the IPSS (LUTS) and IIEF-5 (erectile function). Men with diagnosis of prostate cancer, prostatic surgery and using medications that affect urinary or sexual function were excluded. Men were categorized by IPSS and IIEF-5 and the association with categorical variables were analyzed by chi-square test, and numerical by Student’s t-test. Multivariate analysis was performed to identify independent risk factors. Results A total of 10,630 men were analyzed. The presence of at least moderate LUTS and DE was significantly associated with moderate to high risk score for cardiovascular events (Framingham) and for diabetes (FINDRISC). Those were independent risk factors for LUTS and DE. Likewise, the presence of depression (Beck) and stress were independent factors. Global health parameters (hypertension, diabetes, obesity) were also associated with both conditions (table). Conclusions Moderate to high risk score for cardiovascular events and diabetes are independent risk factors for moderate to severe male LUTS and erectile dysfunction. Depression and stress were also independently associated with these conditions. Those may be important tools for assessing the need for preventive actions to try to minimize the negative impact of global health deterioration on urological function. IPSS less than or equal to 7 IPSS more than 7 IIEF-5 more than or equal 17 IIEF-5 less than 16 Framingham score (moderate/high) 24.0% 53.1% ∗ # 24.1% 65.7% ∗ # Findrisc (higher than moderate) 39.3% 55.3% ∗ # 39.3% 64.1% ∗ # Beck (depression) 11.2% 21.7% ∗ # 11.2% 31.6% ∗ # Stress 21.2% 35.4% ∗ # 21.4% 34.2% ∗ # Physical activity (active/very active) 41.6% 36.8% 41.7% 30.8% ∗ Diabetes 4.1% 10.8% ∗ # 4.1% 16.8% ∗ # Hypertension 20.2% 33.8% ∗ # 20.2% 45.2% ∗ # Metabolic syndrome 32.8% 41.7% ∗ # 32.9% 44.9% ∗ Age (years) (mean (SD)) 48 (6) 57 (9) ∗ # 48 (6) 58 (9) ∗ # Body mass index (Kg/m2)(mean (SD)) 27(4) 27 (3) 27 (4) 28 (4) ∗ # Waist circumference (cm) (mean (SD)) 97 (11) 99 (10) ∗ # 97 (11) 101 (12) ∗ # Prostate volume (g) (mean (SD)) 26 (11) 39 (24) ∗ # 27 (11) 34 (16) ∗ # Blood glucose (mg/dL) (mean (SD)) 93 (20) 101 (39) ∗ # 93 (20) 110 (51) ∗ # Reactive protein C (mg/L) (mean (SD)) 2.4 (5) 2.8 (5) 2.4 (5) 3.1 (4) ∗ ∗ p < 0.01 (univariate analysis) # p < 0.01 (multivariate analysis) © 2014FiguresReferencesRelatedDetails Volume 191Issue 4SApril 2014Page: e609 Advertisement Copyright & Permissions© 2014MetricsAuthor Information Roberto Soler More articles by this author Alexandre Ferreira More articles by this author Renato Holcman More articles by this author Fabricio Beltrame More articles by this author Raquel Conceição More articles by this author Viviane Tabone More articles by this author Rogerio Simonetti More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...

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