Literature DB >> 11331426

Defining health-related obesity in prepubertal children.

P B Higgins1, B A Gower, G R Hunter, M I Goran.   

Abstract

OBJECTIVE: The purpose of this study was to develop percentage of fat and waist circumference cut-points in prepubertal children with the intention of defining obesity associated with cardiovascular disease (CVD) risk. RESEARCH METHODS AND PROCEDURES: A cross-sectional analysis of 87 prepubertal children aged 4 to 11 years was used. Percentage of body fat was determined by DXA. Waist circumference was measured to the nearest millimeter. Receiver Operating Characteristic analyses of percentage of fat and waist circumference were used to develop cut-points for individuals with adverse levels of CVD risk factors.
RESULTS: The risk factors selected for analyses (i.e., fasting insulin, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triglycerides, and total cholesterol/high-density lipoprotein cholesterol) were significantly related to percentage of body fat and waist circumference. Likelihood ratios were used to identify percentage of fat and waist circumference cut-points associated with adverse cardiovascular risk profiles. Two cut-points, an upper cut-point of 33% body fat and a lower cut-point of 20% body fat, were derived. Waist circumference cut-points indicative of adverse and normal risk-factor profiles were 71 cm and 61 cm, respectively. DISCUSSION: The data indicate that children with > or =33% body fat and children with a waist circumference > or =71 cm were more likely to possess an adverse CVD risk-factor profile than a normal risk-factor profile. The likelihood of children with < 20% body fat or a waist circumference < 61 cm possessing an adverse CVD risk-factor profile as opposed to a normal risk-factor profile was small. The cut-points describe an adequate health-related definition of childhood obesity.

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Year:  2001        PMID: 11331426     DOI: 10.1038/oby.2001.27

Source DB:  PubMed          Journal:  Obes Res        ISSN: 1071-7323


  21 in total

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2.  Relation of body mass index and skinfold thicknesses to cardiovascular disease risk factors in children: the Bogalusa Heart Study.

Authors:  David S Freedman; Peter T Katzmarzyk; William H Dietz; Sathanur R Srinivasan; Gerald S Berenson
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3.  Prevalence of obesity and motor performance capabilities in Tyrolean preschool children.

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Journal:  Wien Klin Wochenschr       Date:  2014-05-20       Impact factor: 1.704

4.  Body fat composition and occurrence of kidney stones in hypercalciuric children.

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Journal:  Pediatr Nephrol       Date:  2011-06-10       Impact factor: 3.714

5.  The identification of children with adverse risk factor levels by body mass index cutoffs from 2 classification systems: the Bogalusa Heart Study.

Authors:  David S Freedman; Janet E Fulton; William H Dietz; Liping Pan; Allison J Nihiser; Sathanur R Srinivasan; Gerald S Berenson
Journal:  Am J Clin Nutr       Date:  2010-10-27       Impact factor: 7.045

6.  Waist circumference percentiles for Portuguese children and adolescents aged 10 to 18 years.

Authors:  Luís B Sardinha; Rute Santos; Susana Vale; Manuel J Coelho e Silva; Armando M Raimundo; Helena Moreira; Fátima Baptista; Jorge Mota
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7.  Body mass index and body composition measures by dual x-ray absorptiometry in patients aged 10 to 21 years with spinal cord injury.

Authors:  Craig M McDonald; Allison L Abresch-Meyer; Mindy Dopler Nelson; Lana M Widman
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8.  Getting to the height of the matter: the relationship between stature and adiposity in pre-pubertal children.

Authors:  Lynae J Hanks; Anna L Newton; Krista Casazza
Journal:  Ethn Dis       Date:  2013       Impact factor: 1.847

9.  Classification of body fatness by body mass index-for-age categories among children.

Authors:  David S Freedman; Jack Wang; John C Thornton; Zuguo Mei; Aviva B Sopher; Richard N Pierson; William H Dietz; Mary Horlick
Journal:  Arch Pediatr Adolesc Med       Date:  2009-09

10.  Measurement of percentage of body fat in 411 children and adolescents: a comparison of dual-energy X-ray absorptiometry with a four-compartment model.

Authors:  Aviva B Sopher; John C Thornton; Jack Wang; Richard N Pierson; Steven B Heymsfield; Mary Horlick
Journal:  Pediatrics       Date:  2004-05       Impact factor: 7.124

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