Evidence map›Paper›PMID 22656406›Full record

ArticleUrology2012

Lower urinary tract symptoms and diet quality: findings from the 2000-2001 National Health and Nutrition Examination Survey.

Bradley A Erickson, Mary Vaughan-Sarrazin, Xin Liu, Benjamin N Breyer, Karl J Kreder, Peter Cram

Abstract read
In one paragraph

Article in Urology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Bradley A EricksonDepartment of Urology, Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, Iowa 52246, USA. Brad-erickson@uiowa.edu
Mary Vaughan-Sarrazin
Xin Liu
Benjamin N Breyer
Karl J Kreder
Peter Cram

Funding

UCSF KURe Career Development ProgramK12DK083021 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BASKIN, LAURENCE, CARROLL, PETER R · 2008 to 2017
$5.9M
NIDDK NIH HHS K12 DK083021
6 · The paper itself

Abstract

objectiveTo evaluate the association between dietary quality and the prevalence of lower urinary tract symptoms (LUTS).

methodsWe used urinary symptom and dietary data obtained from the 2000-2001 National Health and Nutrition Examination Survey (NHANES) for the study. Dietary quality was assessed using the 10-component United States Department of Agriculture (USDA) Healthy Eating Index (HEI). We used bivariate methods to examine rates of LUTS among men with poor versus good diets. Multivariable logistic regression was used to calculate odds ratios after applying sample weights and controlling for age, race/ethnicity, smoking status, diabetes, alcohol intake, and exercise.

resultsOur study cohort consisted of 1385 men aged ≥40 years, of whom 279 (21.1%) reported LUTS. We found higher rates of LUTS among men with poor dietary intake of dairy (22.4% vs 16.4%, P = .013) and among men with poor intake of protein (24.6% vs 17.9%, P = .012) as well as among those with overall poor diet (25.8 vs 17.8%, P = .018) with little dietary variety (26.1 vs 17.6%, P = .001). On multivariate analysis, an unhealthy diet (odds ratios [OR] = 1.7; 95% confidence interval [CI] = 1.05-2.90) was associated with more LUTS, whereas alcohol intake was protective from LUTS (OR = 0.67; 95% CI = 0.48-0.93).

conclusionIn an analysis of NHANES data, we found that poor diet quality was independently associated with patient-reported LUTS.

Indexed as

DietNutrition SurveysAdultAgedHumansLogistic ModelsLower Urinary Tract SymptomsMaleMiddle AgedMultivariate Analysis

Identifiers

PMID22656406
PMCPMC3565589

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.