Validity of Some Anthropometric Indicators in the Prediction of High Systolic Blood Pressure among Indian Adolescents

Autor: Shobha Rao; Asawari N. Kanade; Priti P. Apte
Sprache: Englisch
Veröffentlicht: 2008
Quelle: Directory of Open Access Journals: DOAJ Articles
Online Zugang: https://doi.org/10.4137/CMPed.S818
https://doaj.org/toc/1179-5565
1179-5565
doi:10.4137/CMPed.S818
https://doaj.org/article/00de992f2e9e4ec7a6a9bdd778266ef4
https://doi.org/10.4137/CMPed.S818
https://doaj.org/article/00de992f2e9e4ec7a6a9bdd778266ef4
Erfassungsnummer: ftdoajarticles:oai:doaj.org/article:00de992f2e9e4ec7a6a9bdd778266ef4

Zusammenfassung

Background In view of the increasing prevalence of obesity in children, it is necessary to investigate the relative performance of different indicators used for its assessment and health consequences. Objectives To examine concordance between various indicators used for assessing obesity among adolescents and to examine their ability to predict risk of high systolic blood pressure. Design Cross-sectional study, from two schools catering to affluent class. Subjects Children in age 9–16 yr (n = 1146 boys and 1036 girls). Measurements Body weight, height, skinfold thickness at triceps (TSFT) and body fat percent by trained investigators and blood pressure measurement by a pediatrician using sphygmomanometer. Results Prevalence of overweight was lowest with criterion of TSFT (11.7% in boys; 7.6% in girls) and was highest using criterion of body fat percent (53.7% in boys and 28.4% in girls). Body mass index (BMI) had high significant correlation with each of the indicator and with systolic blood pressure (SBP) as well, in both sexes. All the indicators with conventional cut offs showed poor sensitivity for predicting high SBP. However, receiver operating characteristics (ROC) cut-offs improved sensitivity considerably, but the values were much lower compared to conventional cut-offs. Conclusions There is considerable disparity in the estimates of overweight children obtained by different indicators. Lower values of ROC cut-offs highlights the need for population specific customized classification systems for assessing obesity in view of the probable population differences in relative risks of non-communicable adult diseases.