Literature DB >> 23830741

Body shape index and mortality in hemodialysis patients.

Baris Afsar1, Rengin Elsurer, Alper Kirkpantur.   

Abstract

OBJECTIVE: The relationship between various anthropometric parameters and mortality in hemodialysis (HD) patients is conflicting. Recently a new anthropometric parameter emerged, namely, body shape index (BSI). BSI is based on waist circumference (WC) but is independent of height, weight, and body mass index in predicting mortality in the general population. The aim of this study was to determine the relationship between BSI and mortality in HD patients.
METHODS: This retrospective study evaluated the demographic characteristics and anthropometric measures including BSI, laboratory parameters, and mortality data in HD patients in a single center.
RESULTS: There were 142 HD patients enrolled in the study. The median BSI was 0.0816. Because no normal value was defined for BSI, the patients were divided into two groups based on the median BSI: group 1 BSI < 0.0816 and group 2 BSI > 0.0816. During an average follow-up period of 40.1 ± 19.2 mo (range 12-88 mo), 36 (25.4%) patients had died. The Cox regression analysis of independence showed that increased age (hazard ratio [HR], 1.077, 95% confidence interval [CI],1.031-1.125; P = 0.001), presence of diabetes (HR, 2.855, 95% CI, 1.258-6.481; P = 0.012), hemoglobin (HR, 0.629, 95% CI, 0.452-0.875; P = 0.006), and albumin (HR, 0.442, 95% CI, 0.204-0.955; P = 0.038) were independently related with mortality. None of the anthropometric parameters including BSI were related with mortality. Kaplan-Meier analysis showed that there were no differences with respect to mortality among patients in group 1 and group 2 based on median BSI (P = 0.332, log-rank test).
CONCLUSION: In conclusion, BSI is not independently associated with mortality in HD patients.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Body mass index; Body shape index; Dialysis; Mortality; Waist circumference; Waist to hip ratio

Mesh:

Substances:

Year:  2013        PMID: 23830741     DOI: 10.1016/j.nut.2013.03.012

Source DB:  PubMed          Journal:  Nutrition        ISSN: 0899-9007            Impact factor:   4.008


  7 in total

1.  CVD-predictive performances of "a body shape index" versus simple anthropometric measures: Tehran lipid and glucose study.

Authors:  Mohammadreza Bozorgmanesh; Mahsa Sardarinia; Farhad Hajsheikholeslami; Fereidoun Azizi; Farzad Hadaegh
Journal:  Eur J Nutr       Date:  2015-01-18       Impact factor: 5.614

2.  Predictive power of a body shape index for development of diabetes, hypertension, and dyslipidemia in Japanese adults: a retrospective cohort study.

Authors:  Misuzu Fujita; Yasunori Sato; Kengo Nagashima; Sho Takahashi; Akira Hata
Journal:  PLoS One       Date:  2015-06-01       Impact factor: 3.240

3.  Body shape index: Sex-specific differences in predictive power for all-cause mortality in the Japanese population.

Authors:  Yuji Sato; Shouichi Fujimoto; Tsuneo Konta; Kunitoshi Iseki; Toshiki Moriyama; Kunihiro Yamagata; Kazuhiko Tsuruya; Ichiei Narita; Masahide Kondo; Masato Kasahara; Yugo Shibagaki; Koichi Asahi; Tsuyoshi Watanabe
Journal:  PLoS One       Date:  2017-05-16       Impact factor: 3.240

4.  Feasibility of body roundness index for identifying a clustering of cardiometabolic abnormalities compared to BMI, waist circumference and other anthropometric indices: the China Health and Nutrition Survey, 2008 to 2009.

Authors:  Simiao Tian; Xiuzhi Zhang; Yang Xu; Huimin Dong
Journal:  Medicine (Baltimore)       Date:  2016-08       Impact factor: 1.889

5.  Association between new anthropometric parameters and arterial stiffness based on brachial-ankle pulse wave velocity.

Authors:  Hee Seon Choi; Young Hye Cho; Sang Yeoup Lee; Eun Ju Park; Yun Jin Kim; Jeong Gyu Lee; Yu Hyeon Yi; Young Jin Tak; Hye Rim Hwang; Seung Hun Lee
Journal:  Diabetes Metab Syndr Obes       Date:  2019-09-03       Impact factor: 3.168

6.  Dynamic association of mortality hazard with body shape.

Authors:  Nir Y Krakauer; Jesse C Krakauer
Journal:  PLoS One       Date:  2014-02-20       Impact factor: 3.240

7.  Effectiveness of Z-score of log-transformed A Body Shape Index (LBSIZ) in predicting cardiovascular disease in Korea: the Korean Genome and Epidemiology Study.

Authors:  Shinje Moon; Jung Hwan Park; Ohk-Hyun Ryu; Wankyo Chung
Journal:  Sci Rep       Date:  2018-08-14       Impact factor: 4.379

  7 in total

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