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Evaluation of the predictive capacity of vertical segmental tetrapolar bioimpedance for excess weight detection in adolescents Please cite this article as: Neves FS, Leandro DA, Silva FA, Netto MP, Oliveira RM, Cândido AP. Evaluation of the predictive capacity of vertical segmental tetrapolar bioimpedance for excess weight detection in adolescents. J Pediatr (Rio J). 2015;91:551-9.

Abstract

Objective

To analyze the predictive capacity of the vertical segmental tetrapolar bioimpedance apparatus in the detection of excess weight in adolescents, using tetrapolar bioelectrical impedance as a reference.

Methods

This was a cross-sectional study conducted with 411 students aged between 10 and 14 years, of both genders, enrolled in public and private schools, selected by a simple and stratified random sampling process according to the gender, age, and proportion in each institution. The sample was evaluated by the anthropometric method and underwent a body composition analysis using vertical bipolar, horizontal tetrapolar, and vertical segmental tetrapolar assessment. The ROC curve was constructed based on calculations of sensitivity and specificity for each point of the different possible measurements of body fat. The statistical analysis used Student's t-test, Pearson's correlation coefficient, and McNemar's chi-squared test. Subsequently, the variables were interpreted using SPSS software, version 17.0.

Results

Of the total sample, 53.7% were girls and 46.3%, boys. Of the total, 20% and 12.5% had overweight and obesity, respectively. The body segment measurement charts showed high values of sensitivity and specificity and high areas under the ROC curve, ranging from 0.83 to 0.95 for girls and 0.92 to 0.98 for boys, suggesting a slightly higher performance for the male gender. Body fat percentage was the most efficient criterion to detect overweight, while the trunk segmental fat was the least accurate indicator.

Conclusion

The apparatus demonstrated good performance to predict excess weight.

KEYWORDS
Adolescent health; Body composition; Electric impedance; Obesity

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