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Which anthropometric measurements including visceral fat, subcutaneous fat, body mass index, and waist circumference could predict the urinary stone composition most?

Authors
 Jae Heon Kim  ;  Seung Whan Doo  ;  Kang Su Cho  ;  Won Jae Yang  ;  Yun Seob Song  ;  Jiyoung Hwang  ;  Seong Sook Hong  ;  Soon-Sun Kwon 
Citation
 BMC Urology, Vol.15 : 17, 2015 
Journal Title
 BMC Urology 
ISSN
 1471-2490 
Issue Date
2015
MeSH
Age Distribution ; Anthropometry/methods ; Body Mass Index* ; Causality ; Comorbidity ; Female ; Humans ; Incidence ; Intra-Abdominal Fat* ; Male ; Middle Aged ; Obesity/complications ; Obesity/epidemiology ; Obesity/physiopathology* ; Prognosis ; Radiography ; Reproducibility of Results ; Republic of Korea/epidemiology ; Risk Assessment ; Sensitivity and Specificity ; Sex Distribution ; Statistics as Topic ; Subcutaneous Fat* ; Urinary Calculi/diagnostic imaging ; Urinary Calculi/epidemiology ; Urinary Calculi/physiopathology* ; Waist Circumference*
Keywords
Urinary calculi ; Obesity ; Body mass index ; Visceral fat ; Computed tomography
Abstract
BACKGROUND: Although there is growing evidence of relationship between obesity and some specific stone compositions, results were inconsistent. Due to a greater relationship between metabolic syndrome and some specific stone type, obesity measured by body mass index (BMI) has limitation in determining relationship between obesity and stone compositions. The aim of this study was to determine the relationship among BMI, visceral fat, and stone compositions. METHODS: We retrospectively reviewed data of patients with urinary stone removed over a 5 year period (2011-2014). Data on patient age, gender, BMI, urinary pH, stone composition, fat volumes (including visceral fat, subcutaneous fat, total fat, waist circumference), and ratio for visceral to total fat using computed tomography based delineation were collected. To figure out the predicting factor while adjusting other confounding factors, discriminant analysis was used. RESULTS: Among 262 cases, average age was 52.21 years. Average BMI and visceral fat were 25.03 cm(2) and 124.75 cm(2), respectively. By chi square test, there was significant (p < 0.001) difference in stone types according to sex. By ANOVA test, BMI, visceral fat, visceral to subcutaneous fat ratio, the percentage of visceral fat and total fat showed significant association with stone types. By discriminant analysis, visceral fat was proved to be a powerful factor to predict stone composition (structure matrix of visceral fat = -0.735) with 42.0% of predictive value. CONCLUSION: Visceral fat adiposity strongly related with uric acid stone and has better predictive value than BMI or urinary pH to classify the types of stone.
Files in This Item:
T201504009.pdf Download
DOI
10.1186/s12894-015-0013-x
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Urology (비뇨의학교실) > 1. Journal Papers
Yonsei Authors
Cho, Kang Su(조강수) ORCID logo https://orcid.org/0000-0002-3500-8833
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/141552
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