Relationship of Anthropometric Indices with Rate Pressure Product, Pulse Pressure and Mean Arterial Pressure Among Secondary Adolescents of 12-17 Years

Abstract

Background: Anthropometric indices are highly associated with cardiovascular events. However, there correlation with hemodynamic parameters among adolescents is still wanting.      

Study purpose: To determine the correlation between anthropometric indices and the selected hemodynamic parameters among secondary adolescents aged 12-17 years.

Methods: In this study, we present data of 485 secondary school adolescents aged 12-17 years. Height, weight, waist circumference, hip circumference and neck circumference were measured using standard protocol. Conicity index, body mass index, ponderosity index and body surface area, were computed using standard formulae. Blood pressure was measured using a digital automated blood pressure machine. The rate pressure product was determined as product of heart rate and systolic blood pressure, pulse pressure as the difference between systolic blood pressure and diastolic pressure while mean arterial pressure was the sum of diastolic pressure and pulse pressure. Comparisons of hemodynamic parameters across the anthropometric index’s categories were done using a one-way ANOVA and an unpaired t-test while correlation analysis was done using Pearson correlation coefficient at 95% confidence interval.

Results: Our findings showed weak positive correlation between generally body surface area, neck circumference and conicity index with the hemodynamic parameters (systolic blood pressure, diastolic blood pressure, resting pulse rate, mean arterial pressure, rate pressure product and pulse pressure). However, the ponderosity index, body mass index and waist hip ratio showed negative weak correlations with the hemodynamic parameters. There was a significant difference in pulse pressure among the BMI categories. All parameters showed significant (p<0.05) differences across the categories of neck circumference and waist hip ratio. Generally, in multivariate regression analysis, anthropometric indices showed significant prediction of the hemodynamic parameters.

Conclusion: Generally, a weak positive correlation between anthropometric indices and the hemodynamic parameters. 

Full Text

This preprint is available for download as a PDF.