Appropriate anthropometric indices of obesity and overweight for diagnosis of metabolic syndrome and its relationship with oxidative stress.
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 ANDMETHODS:
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.Palavras-chave
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Estresse Oxidativo
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Síndrome Metabólica
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Sobrepeso
/
Obesidade
Tipo de estudo:
Diagnostic_studies
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Observational_studies
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Prevalence_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Adult
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article