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The Relationship between Blood Pressure and Anthropometric Indicators in Rural South African Children: Ellisras Longitudinal Study | OMICS International | Abstract
ISSN: 2165-7904

Journal of Obesity & Weight Loss Therapy
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Research Article

The Relationship between Blood Pressure and Anthropometric Indicators in Rural South African Children: Ellisras Longitudinal Study

Ramoshaba NE2, Monyeki KD2*, Zatu MC1, Hay L1 and Mabata LR2
1Department of Human Physiology, University of Limpopo (Medunsa Campus), South Africa
2Department of Physiology and Environmental Health, University of Limpopo (Turfloop Campus), South Africa
Corresponding Author : Prof. Monyeki KD
Principal Investigator: Ellisras Longitudinal Study (ELS)
Department of Physiology and Environmental Health
University of Limpopo (Turfloop Campus)
Private Bag X1106, Sovenga, 0727, South Africa
Tel: +27152682209
Fax: +27152682209
E-mail: dmonyeki@yahoo.com/kotsedi.monyeki@ul.ac.za
Received November 28, 2014; Accepted January 23, 2015; Published February 10, 2015
Citation: Ramoshaba NE, Monyeki KD, Zatu MC, Hay L, Mabata LR (2015) The Relationship between Blood Pressure and Anthropometric Indicators in Rural South African Children: Ellisras Longitudinal Study. J Obes Weight Loss Ther 5:243. doi:10.4172/2165-7904.1000243
Copyright: © 2014 Ramoshaba NE, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Background: Underweight, overweight and high blood pressure (BP) are known cardiovascular risk factors in children. The objective of the study was to investigate the relationship between the neck circumference (NC) and mid upper arm circumference (MUAC) with BP in Ellisras rural children age 5-12 years. Methods: All children (n=1029 boys, n=932 girls) had BP and anthropometry measured. The receiver operating characteristics curve was used to discriminate children with high BP. Linear regression was used to assess the relationship between BP and anthropometric indicators. Results: NC and MUAC significantly discriminated children with high BP. The regression analysis showed a significant association for Systolic blood pressure (SBP) with NC (β=0.764, 95% CI 0.475 to 1.052) and MUAC (β=1.286, 95% Cl 0.990 to 1.581) for unadjusted and adjusted for age and gender NC (β=0.628 95% Cl 0.303 to 0.953) and MUAC (β=1.351 95% CI 1.004 to 1.697) also showed a significant association. Conclusion: The prevalence of underweight was high in these children. NC and MUAC can predict children with high BP. There was a positive significant association between BP and anthropometric indicators in this study population.

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