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Appropriate anthropometric indices of obesity and overweight for diagnosis of metabolic syndrome and its relationship with oxidative stress.
Delvarianzadeh, Mehri; Abbasian, Maryam; Khosravi, Farideh; Ebrahimi, Hossein; Ebrahimi, Mohammad Hossein; Fazli, Mozhgan.
Afiliação
  • Delvarianzadeh M; School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Abbasian M; School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran. Electronic address: Abbasian39@yahoo.com.
  • Khosravi F; Department of Biostatistics, Occupational, and Environmental Health Research Center, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Ebrahimi H; Center for Health-Related Social and Behavioral Sciences Research, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Ebrahimi MH; School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran.
  • Fazli M; Dept. of Physiology, School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran.
Diabetes Metab Syndr ; 11 Suppl 2: S907-S911, 2017 Dec.
Article em En | MEDLINE | ID: mdl-28712821
ABSTRACT

AIMS:

this study aimed to determine the most appropriate anthropometric indices for diagnosis of metabolic syndrome (MetS) and its relationship with oxidative stress markers. MATERIAL AND

METHODS:

This cross-sectional study was conducted in 2015 on 108 employees working in Shahroud University of Medical Sciences. Demographics, anthropometric indices (BMI Body mass index; WC Waist circumference, WHR Waist hip ratio, WHtR Waist-to-height Ratio), Mets and Then oxidative stress markers (total antioxidant capacity; TAC, Malondialdehyde; MDA, serum superoxide dismutase; SOD, catalase; Cat) were measured. All analyses were performed at a significant level of 0.05, using the SPSS Statistics 21 and Stata 12 software.

RESULT:

The mean age of the participants was 41.4±7.8years. the mean values of different anthropometric indices in patients with metabolic syndrome were higher than those in subjects without MetS and this difference was significant. According to ROC curve the best marker for diagnosis of Mets was WHtR (Waist-to-height Ratio) and its cut off point was 0.54.Also, there was a positive correlation between WHtR and MDA serum levels. In addition, there was a negative correlation between WHtR and the levels of TAC, SOD, and CAT but it was not significant.

CONCLUSIONS:

It seems that WHtR can be a valuable marker for predicting metabolic disorders and related diseases; moreover, it can be used for evaluation of oxidative stress level. Finally, the formula WC=height×0.54 as a simple tool for prevention of metabolic diseases can be used in university personnel.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estresse Oxidativo / Síndrome Metabólica / Sobrepeso / Obesidade Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estresse Oxidativo / Síndrome Metabólica / Sobrepeso / Obesidade Tipo de estudo: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2017 Tipo de documento: Article