1733 LOWER URINARY TRACT SYMPTOMS AND DIET QUALITY: FINDINGS FROM THE 2000-2001 NATIONAL HEALTH AND NUTRITION EXAMINATION SURVEY

Abstract

You have accessJournal of UrologyBenign Prostatic Hyperplasia: Epidemiology and Natural History/Evaluation and Markers1 Apr 20121733 LOWER URINARY TRACT SYMPTOMS AND DIET QUALITY: FINDINGS FROM THE 2000-2001 NATIONAL HEALTH AND NUTRITION EXAMINATION SURVEY Bradley Erickson, Mary Vaughan-Sarrazin, Xin Lu, Benjamin Breyer, Karl Kreder, and Peter Cram Bradley EricksonBradley Erickson Iowa City, IA More articles by this author , Mary Vaughan-SarrazinMary Vaughan-Sarrazin Iowa City, IA More articles by this author , Xin LuXin Lu Iowa City, IA More articles by this author , Benjamin BreyerBenjamin Breyer San Francisco, CA More articles by this author , Karl KrederKarl Kreder Iowa City, IA More articles by this author , and Peter CramPeter Cram Iowa City, IA More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2012.02.1694AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES We evaluated the association between diet quality and the prevalence of lower urinary tract symptoms (LUTS). METHODS Urinary symptom and dietary data obtained from the 2000-2001 National Health and Nutrition Examination Survey (NHANES) was utilized for the study. Men were considered to have lower urinary tract symptoms (LUTS) if they reported “yes” to a question about “incomplete emptying” and/or ‘difficulty starting urinary stream.' Diet quality was assessed using the 10-component United States Department of Agriculture (USDA) Healthy Eating Index (HEI) which grades diets by their conformance to USDA recommendations (total score 0-100, component score 0-10; higher scores = more conformance). The diet quality of study participants reporting urinary symptoms was compared to those not reporting symptoms. Multivariable logistic regression was used to calculate odds ratios after applying sample weights and controlling for known LUTS risk factors including age, race, smoking, diabetes, alcohol intake, BMI and exercise. RESULTS There were 1385 men ≥ 40 years included in the analysis, of which the adjusted LUTS frequency was 21.1%. Comparison of men with poor (total score <50; component score < 5) and good (total score > 80, component score ≥8) diets, as determined by USDA standards, revealed that men with poor dietary intake of dairy (22.4 v 16.4%, p = 0.013), protein (24.6 v 17.9%, p = 0.012), those with overall poor diets (25.8 v 17.8%, p = 0.018) and men with little dietary variety (26.1 v 17.6%, p = 0.001) had higher rates of LUTS. On multivariate analysis, an unhealthy diet (OR 1.7; 95% confidence interval (CI) 1.05 - 2.90) was associated with more LUTS while alcohol intake was protective from LUTS (OR 0.67; 95% CI 0.48 - 0.93) (Table 1). Individual HEI diet categories were not different on multivariable analysis. Multivariable Logistic Regression Model for LUTS association Model Variable OR (95% CI) p-value Overall HEI Score 1.7 (1.1, 2.9) 0.031 Age > 60 2.4 (1.6, 3.5) <0.0001 Race ___African American 2.8 (2.0, 4.0) <0.0001 ___Hispanic 2.9 (1.8, 4.8) <0.0001 Diabetes 1.4 (0.8, 2.5) 0.24 Alcohol 0.7 (0.5, 0.9) 0.015 Smoking 1.0 (0.7, 1.4) 0.77 Exercise 0.8 (0.5, 1.3) 0.28 BMI 1.1 (0.7, 1.7) 0.67 Odds ratios: Overall HEI represents most healthy tertile relative to least healthy tertile. Age > 60 relative to Age ≤ 60; Race relative to reporting white race; Diabetes relative to no diabetes; Alcohol relative to no alcohol intake in past month; Smoking relative to no current smoking; Exercise relative to sedentary; BMI >30 (obese) relative to BMI < 30. CONCLUSIONS In an analysis of NHANES and HEI data, we found evidence that a less healthy diet was an independent risk factor for LUTS. © 2012 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 187Issue 4SApril 2012Page: e698 Advertisement Copyright & Permissions© 2012 by American Urological Association Education and Research, Inc.MetricsAuthor Information Bradley Erickson Iowa City, IA More articles by this author Mary Vaughan-Sarrazin Iowa City, IA More articles by this author Xin Lu Iowa City, IA More articles by this author Benjamin Breyer San Francisco, CA More articles by this author Karl Kreder Iowa City, IA More articles by this author Peter Cram Iowa City, IA More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...