ArticleOpen access Macedonian journal of medical sciences2016
The Validity of Body Adiposity Indices in Predicting Metabolic Syndrome and Its Components among Egyptian Women.
Article in Open access Macedonian journal of medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Elevated Serum Sialic Acid Levels May be Associated With Diabetes Retinopathy: A Cross-Sectional Study in Ghana.Frontiers in clinical diabetes and healthcare · 2022Article
- Association between elevated carotid intima-media thickness and serum uric acid levels among patients with essential hypertension in primary care setting in Sungai Buloh, Malaysia.International journal of clinical practice · 2021Article
- Anthropometric Indicators of Adiposity Related to Body Weight and Body Shape as Cardiometabolic Risk Predictors in British Young Adults: Superiority of Waist-to-Height Ratio.Journal of obesity · 2018Article
- The Role of Body Adiposity Index in Determining Body Fat Percentage in Colombian Adults with Overweight or Obesity.International journal of environmental research and public health · 2017Article
- Lipid Accumulation Product Is More Related to Insulin Resistance than the Visceral Adiposity Index in the Maracaibo City Population, Venezuela.Journal of obesityArticle
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7 authors.
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Abstract
aimTo assess the associations between the body adiposity indices and risk of metabolic syndrome (MS) and its components in Egyptian women and to evaluate their predictive power. MATERIALS AND
methodsThis was a cross-sectional analysis performed on 180 Egyptian women aged between 25-35 years. They were 90 women with MS diagnosed by International Diabetes Federation (IDF) and 90 healthy age matched controls. Body adiposity index (BAI), body mass index (BMI), waist to hip ratio (WHR) and waist to height ratio (WHtR) were calculated and serum samples were analyzed for metabolic parameters. Receiver operating characteristic curves (ROC) was used to determine the discriminatory capacity of BAI, WHR WHtR and BMI for MS.
resultsArea under the curve (AUC) was highest for BIA, followed by WHR, WHtR and then BMI. All adiposity indices were significantly correlated with metabolic components and BAI had the highest correlation coefficients compared to other indices.
conclusionBAI is a practical predictor for MS and has satisfactory diagnostic accuracy for diagnosing MS among Egyptian women and can be used in addition to WHR, WHtR and BMI for identifying MS in the field studies.
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