Literature DB >> 22370155

Measurement of waist circumference at different sites affects the detection of abdominal obesity and metabolic syndrome among psychiatric patients.

Chao-Cheng Lin1, Shun-Chieh Yu, Bo-Jian Wu, Da-Jen Chang.   

Abstract

There is a lack of understanding about the impact of different waist circumference (WC) measurements on the detection of abdominal obesity and metabolic syndrome in psychiatric patients. This cross-sectional study included a total of 382 inpatients with schizophrenia-related disorders to assess each component of metabolic syndrome. WC was measured at the lowest rib, midpoint between the iliac crest and lowest rib, iliac crest, minimal waist, and umbilicus. Logistic regression analysis was performed to examine the ability of WC at each site to predict the presence of metabolic risk clustering. The mean WC values for all sites were significantly different from each other. The measurement site had an influence on the prevalence of abdominal obesity (30-38.2% in men and 53.9-86.3% in women). The influence on the prevalence of metabolic syndrome was greater with the International Diabetes Federation (IDF) criteria (19.3-23.9% in men and 29.4-43.1% in women) than with the Adult Treatment Panel III (ATP III) criteria (26.1-28.6% in men and 37.3-44.1% in women). The areas under the receiver operating characteristic curve for metabolic risk clustering were highest at the umbilicus and midpoint. Given that the WC measurement protocol has substantial influence on the prevalence of abdominal obesity and metabolic syndrome, a predefined measurement site is required for all psychiatric studies.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22370155     DOI: 10.1016/j.psychres.2011.09.012

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  3 in total

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Journal:  Indian J Psychol Med       Date:  2013-07

2.  The association between "hypertriglyceridemic waist" and sub-clinical atherosclerosis in a multiethnic population: a cross-sectional study.

Authors:  Danijela Gasevic; Axel C Carlsson; Iris A Lesser; Gb John Mancini; Scott A Lear
Journal:  Lipids Health Dis       Date:  2014-02-23       Impact factor: 3.876

3.  Exploring the Impact of Obesity on Health Care Resources and Coding in the Acute Hospital Setting: A Feasibility Study.

Authors:  Winnie S Y Tan; Adrienne M Young; Alexandra L Di Bella; Tracy Comans; Merrilyn Banks
Journal:  Healthcare (Basel)       Date:  2020-11-04
  3 in total

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