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Performance of anthropometric indicators as predictors of metabolic syndrome in Brazilian adolescents

Overview of attention for article published in BMC Pediatrics, February 2018
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Title
Performance of anthropometric indicators as predictors of metabolic syndrome in Brazilian adolescents
Published in
BMC Pediatrics, February 2018
DOI 10.1186/s12887-018-1030-1
Pubmed ID
Authors

Raphael Gonçalves de Oliveira, Dartagnan Pinto Guedes

Abstract

It is not clear which is the best anthropometric indicator to predict metabolic syndrome (MetS) in adolescents. Our objective was to identify the predictive power, with respective cut-off points, of anthropometric indicators associated with the quantity and distribution of body fat for the presence of MetS and to determine the strength of the association between the proposed cut-off points and MetS in adolescents. The sample consisted of 1035 adolescents (565 girls and 470 boys) aged between 12 and 20 years. Four anthropometric indicators were considered: waist circumference (WC), body mass index (BMI), waist-height ratio (WHtR), and conicity index (C-Index). MetS was defined according to the criteria of the International Diabetes Federation. Predictive performance was described through analysis of Receiver Operating Characteristic (ROC) curves with a 95% confidence interval. The most accurate cut-off points were identified through sensitivity, specificity and Area Under the Curve (AUC) values. The four anthropometric indicators presented significant AUCs close to 0.70. At younger ages (12-15 years) the girls presented a statistically greater capacity to discriminate MetS; however, at more advanced ages (16-20 years) both sexes presented similar AUCs. Among the anthropometric indicators investigated, regardless of sex and age, the WHtR showed the highest discriminant value for MetS, while the C-Index demonstrated a significantly lower capacity to predict MetS. The AUCs equivalent to WC and BMI did not differ statistically. The proposed cut-off points for WHtR (12-15 years = 0.46, 16-20 years = 0.48) presented the highest values of sensitivity and specificity, between 60% and 70%, respectively. Considering that the best AUC was found for WHtR, we suggest the use of this anthropometric indicator, with the cut-off points presented herein, for the prediction of MetS in adolescents with characteristics similar to the study sample.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 15%
Student > Bachelor 10 13%
Other 8 10%
Student > Postgraduate 7 9%
Student > Doctoral Student 4 5%
Other 13 16%
Unknown 25 32%
Readers by discipline Count As %
Medicine and Dentistry 17 22%
Nursing and Health Professions 15 19%
Sports and Recreations 5 6%
Agricultural and Biological Sciences 3 4%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 10 13%
Unknown 27 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 February 2018.
All research outputs
#20,465,050
of 23,023,224 outputs
Outputs from BMC Pediatrics
#2,629
of 3,039 outputs
Outputs of similar age
#375,887
of 437,841 outputs
Outputs of similar age from BMC Pediatrics
#82
of 89 outputs
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