+ Site Statistics
References:
52,654,530
Abstracts:
29,560,856
PMIDs:
28,072,755
+ Search Articles
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ PDF Full Text
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Translate
+ Recently Requested

Anthropometric Indicators Predict Metabolic Syndrome Diagnosis in Maintenance Hemodialysis Patients



Anthropometric Indicators Predict Metabolic Syndrome Diagnosis in Maintenance Hemodialysis Patients



Nutrition in Clinical Practice 31(3): 368-374



Obesity has been considered the key in metabolic syndrome (MetS) development, and fat accumulation may be responsible for the occurrence of metabolic abnormalities in hemodialysis patients. The use of gold-standard methods to evaluate obesity is limited, and anthropometric measures may be the simplest methods. However, no study has investigated the association between anthropometric indexes and MetS in these patients. Therefore, the aim was to determine which anthropometric indexes had the best association and prediction for MetS in patients undergoing hemodialysis. Cross-sectional study that included patients older than 18 years, undergoing hemodialysis for at least 3 months. Patients with liver disease and cancer or those receiving corticosteroids or antiretroviral therapy were excluded. Diagnostic criteria from Harmonizing Metabolic Syndrome were used for the diagnosis of MetS. Anthropometric indexes evaluated were body mass index (BMI); percent standard of triceps skinfold thickness and of middle arm muscle circumference; waist circumference (WC); sagittal abdominal diameter; neck circumference; waist-to-hip, waist-to-thigh, and waist-to-height ratios; sagittal index; conicity index; and body fat percentage. Ninety-eight patients were included, 54.1% male, and mean age was 57.8 ± 12.9 years. The prevalence of MetS was 74.5%. Individuals with MetS had increased accumulation of abdominal fat and general obesity. Waist-to-height ratio was the variable independently associated with MetS diagnosis (odds ratio, 1.21; 95% confidence interval, 1.09-1.34; P < .01) and that better predicts MetS, followed by WC and BMI (area under the curve of 0.840, 0.836, and 0.798, respectively, P < .01). Waist-to-height ratio was the best anthropometric predictor of MetS in maintenance hemodialysis patients.

(PDF emailed within 0-6 h: $19.90)

Accession: 057205185

Download citation: RISBibTeXText

PMID: 26341917

DOI: 10.1177/0884533615601849


Related references

Anthropometric Indicators Predict Metabolic Syndrome Diagnosis in Maintenance Hemodialysis Patients. Nutrition in Clinical Practice 31(6): 841, 2016

Anthropometric Indicators Predict Metabolic Syndrome Diagnosis in Maintenance Hemodialysis Patients: Methodological and Statistical Issues. Nutrition in Clinical Practice 31(6): 841, 2018

Classic anthropometric and body composition indicators can predict risk of metabolic syndrome in elderly. Annals of Nutrition and Metabolism 60(4): 264-271, 2012

Comparing the Ability of Anthropometric Indicators in Identifying Metabolic Syndrome in HIV Patients. Plos One 11(2): E0149905, 2016

Prediction of metabolic syndrome in children through anthropometric indicators. Arquivos Brasileiros de Cardiologia 96(2): 121-125, 2011

Comparison of visceral, general and central obesity indices in the prediction of metabolic syndrome in maintenance hemodialysis patients. Eating and Weight Disorders 2019, 2019

Cardiovascular risk factors and diseases strongly predict hemodialysis treatment outcome in maintenance hemodialysis patients. Croatian Medical Journal 46(6): 936-941, 2005

Performance of Anthropometric Indicators in the Prediction of Metabolic Syndrome in the Elderly. Metabolic Syndrome and Related Disorders 2019, 2019

Longitudinal anthropometric study of patients treated with hemodialysis maintenance. Medicina Clinica 98(13): 491-493, 1992

Application of alternative anthropometric measurements to predict metabolic syndrome. Clinics 69(5): 347-353, 2014

Performance of anthropometric indicators as predictors of metabolic syndrome in Brazilian adolescents. Bmc Pediatrics 18(1): 33, 2018

Usefulness of electromyogram in carpal tunnel syndrome diagnosis in patients undergoing maintenance hemodialysis. Kidney International 28(2): 342, 1985

Anthropometric parameter that best predict metabolic syndrome in South west Nigeria. Diabetes & Metabolic Syndrome 13(1): 48-54, 2019

Low predictability of anthropometric indicators of obesity in metabolic syndrome (MS) risks among elderly women. Archives of Gerontology and Geriatrics 55(3): 718-723, 2013

Anthropometric and metabolic indicators in hypertensive patients. Journal of the College of Physicians and Surgeons--Pakistan 19(7): 421-427, 2009