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Validation of a BMI cut-off point to predict an adverse cardiometabolic profile with adiposity measurements by dual-energy X-ray absorptiometry in Guatemalan children
Journal article   Open access   Peer reviewed

Validation of a BMI cut-off point to predict an adverse cardiometabolic profile with adiposity measurements by dual-energy X-ray absorptiometry in Guatemalan children

Olga Redondo, Eduardo Villamor, Javiera Valdés, Usama Bilal, Benjamín Caballero, Dina Roche, Fernanda Kroker, Manuel Ramírez-Zea and Manuel Franco
Public health nutrition, v 18(6), pp 951-958
Apr 2015
PMID: 24955816
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1017/s1368980014001207View
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze) Open
url
https://doi.org/10.1017/S1368980014001207View
Published, Version of Record (VoR) Open

Abstract

Absorptiometry, Photon Adiposity Body Mass Index Cardiovascular Diseases - diagnosis Cardiovascular Diseases - epidemiology Cardiovascular Diseases - etiology Cardiovascular Diseases - metabolism Child Child Development Child Nutritional Physiological Phenomena Cross-Sectional Studies Female Guatemala - epidemiology Humans Insulin Resistance Male Overweight - physiopathology Poverty Areas Predictive Value of Tests Prevalence Risk Factors Sensitivity and Specificity Suburban Health
To identify a body fat percentage (%BF) threshold related to an adverse cardiometabolic profile and its surrogate BMI cut-off point. Cross-sectional study. Two public schools in poor urban areas on the outskirts of Guatemala City. A convenience sample of ninety-three healthy, prepubertal, Ladino children (aged 7-12 years). Spearman correlations of cardiometabolic parameters were higher with %BF than with BMI-for-age Z-score. BMI-for-age Z-score and %BF were highly correlated (r=0·84). The %BF threshold that maximized sensitivity and specificity for predicting an adverse cardiometabolic profile (elevated homeostasis model assessment-insulin resistance index and/or total cholesterol:HDL-cholesterol ratio) according to receiver operating characteristic curve analysis was 36 %. The BMI-for-age Z-score cut-off point that maximized the prediction of BF ≥ 36 % by the same procedure was 1·5. The area under the curve (AUC) for %BF and for BMI data showed excellent accuracy to predict an adverse cardiometabolic profile (AUC 0·93 (sd 0·04)) and excess adiposity (AUC 0·95 (sd 0·02)). Since BMI standards have limitations in screening for adiposity, specific cut-off points based on ethnic-/sex- and age-specific %BF thresholds are needed to better predict an adverse cardiometabolic profile.

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Nutrition & Dietetics
Public, Environmental & Occupational Health
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