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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

Bibliographic Data

ID15095215
AuthorsOlga Redondo, Olga Redondo González (0000-0003-0964-5668, Universidad de Alcalá), Eduardo Villamor (0000-0003-3937-5574, University of Michigan), Javiera Valdés (Universidad Católica del Norte), Usama Bilal (0000-0002-9868-7773, Johns Hopkins University), Benjamin Caballero, Benjamı́n Caballero (Johns Hopkins University), Dina Roche (Institute of Nutrition of Central America and Panama), Fernanda Kroker (Institute of Nutrition of Central America and Panama), Manuel Ramirez‐zea (0000-0001-5107-9175, Institute of Nutrition of Central America and Panama), Manuel Ramírez-Zea, Manuel Franco (0000-0002-3639-2523, Johns Hopkins University, corresponding author)
Year2015
Volume18
Issue6
Pages951-958
Publication date2015-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePublic Health Nutrition (JOURNAL)
Journal identifiersISSN: 1368-9800 • E-ISSN: 1475-2727
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980014001207
PMID24955816
OpenAlexW2132765249
LanguageEN
Citations received1
References cited46

Objective To identify a body fat percentage (%BF) threshold related to an adverse cardiometabolic profile and its surrogate BMI cut-off point. Design Cross-sectional study. Setting Two public schools in poor urban areas on the outskirts of Guatemala City. Subjects A convenience sample of ninety-three healthy, prepubertal, Ladino children (aged 7–12 years). Results 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)). Conclusions 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

Adverse effect · Area under the curve · Body mass index · Cholesterol · Cross-sectional study · Insulin resistance · Lipid Profile · Obesity · Receiver operating characteristic · Surrogate endpoint · Body Composition Measurement Techniques · Cardiovascular Disease and Adiposity · Demography · Medicine · Obesity, Physical Activity, Diet · Endocrinology · Internal Medicine

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Unique citing works1
Citations per year0,14
Citation span2019 - 2019 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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