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Comparison of different anthropometric indices for identifying dyslipidemia in school children.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Hirschler, Valeria Molinari, Claudia Maccallini, Gustavo Aranda, Claudio Oestreicher, Karin
Description	Country affiliation: Argentina Author Affiliation: Hirschler V ( Nutrition and Diabetes Department, Hospital Durand, Buenos Aires, Argentina. vhirschler@intramed.net)
Abstract	BACKGROUND: Anthropometric indices have been associated with dyslipidemia. OBJECTIVE: To compare the abilities of BMI, waist circumference (WC) and WC/height to identify children's dyslipidemia. METHODS: Students 1261 (639 male) age 9.5±2.1 years. were examined for anthropometry and lipid levels. Triglycerides ≥1.69 mmol/L and high-density lipoprotein cholesterol (HDL-C) <0.91 mmol/L were considered abnormal per American Heart Association. RESULTS: The prevalence of abnormal triglycerides was 4.1% and HDL-C 8.1%. The areas under the receiver operator curves (ROC) were: BMI=0.87, WC=0.83, and WC/height=0.84 in predicting both low HDL-C and high triglycerides. Multiple regression analyses showed that the odds ratios (OR) were highest for WC [6.5], followed by WC/height [5.4], and BMI [4.9], for dyslipidemia. CONCLUSIONS: The results suggest that WC, WC/height, and BMI similarly predicted dyslipidemia, using ROC analyses. However, regression analyses showed that WC followed by WC/height was most predictive of dyslipidemia.
File Format	HTM / HTML
ISSN	00099120
Issue Number	8-9
Volume Number	44
e-ISSN	18732933
Journal	Clinical Biochemistry
Language	English
Publisher	Elsevier
Publisher Date	2011-06-01
Publisher Place	United States
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Biochemistry Anthropometry Dyslipidemias Diagnosis Body Height Physiology Body Mass Index Body Weight Child Cholesterol, Hdl Blood Female Humans Male Odds Ratio Regression Analysis Triglycerides Waist Circumference Journal Article
Content Type	Text
Resource Type	Article
Subject	Medicine Clinical Biochemistry

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