Cargando…

Distribution and association of hs-CRP with cardiovascular risk variables of metabolic syndrome in adolescent learners

OBJECTIVE: Metabolic syndrome (MetS) and its associated cardiovascular risk are on the increase in children. High-sensitivity C-reactive protein (hs-CRP) has emerged as a useful marker for inflammation associated with atherosclerosis and cardiovascular disease. Our aim was to determine the distribut...

Descripción completa

Detalles Bibliográficos
Autores principales: Rensburg, Megan A., Matsha, Tandi, Hoffmann, Mariza, Hassan, Mogamat S., Erasmus, Rajiv T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AOSIS OpenJournals 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5644523/
https://www.ncbi.nlm.nih.gov/pubmed/29062730
http://dx.doi.org/10.4102/ajlm.v1i1.10
_version_ 1783271739608793088
author Rensburg, Megan A.
Matsha, Tandi
Hoffmann, Mariza
Hassan, Mogamat S.
Erasmus, Rajiv T.
author_facet Rensburg, Megan A.
Matsha, Tandi
Hoffmann, Mariza
Hassan, Mogamat S.
Erasmus, Rajiv T.
author_sort Rensburg, Megan A.
collection PubMed
description OBJECTIVE: Metabolic syndrome (MetS) and its associated cardiovascular risk are on the increase in children. High-sensitivity C-reactive protein (hs-CRP) has emerged as a useful marker for inflammation associated with atherosclerosis and cardiovascular disease. Our aim was to determine the distribution of hs-CRP in an effort to identify the MetS variable that is critical in modulating plasma CRP levels in a population of South African adolescents. DESIGN: A cross-sectional analytical study design was used for this investigation, where the dependent and independent variables were measured simultaneously. METHODS: Anthropometric variables, blood pressure, fasting blood glucose and lipids were performed on 324 consenting learners aged 15–18 years from three different ethnic groups (Black, White and Coloured). The National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) for ages 15–18 year olds was used to define MetS. RESULTS: The prevalence of MetS and obesity was 3.7% and 7.1%, respectively. The hs-CRP levels were significantly higher in subjects with a waist-circumference greater than the 90th percentile (p < 0.01) and in obese learners with MetS, but was lower in adolescents with normal weight and MetS. Median hs-CRP levels increased with an increasing number of metabolic abnormalities and exceeded 3 mg/L in 19% of adolescents. Gender and ethnic differences were observed. CONCLUSION: Our findings suggest that obesity and waist circumference appear to be major mediators of hs-CRP levels in South African adolescents.
format Online
Article
Text
id pubmed-5644523
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher AOSIS OpenJournals
record_format MEDLINE/PubMed
spelling pubmed-56445232017-10-23 Distribution and association of hs-CRP with cardiovascular risk variables of metabolic syndrome in adolescent learners Rensburg, Megan A. Matsha, Tandi Hoffmann, Mariza Hassan, Mogamat S. Erasmus, Rajiv T. Afr J Lab Med Original Research OBJECTIVE: Metabolic syndrome (MetS) and its associated cardiovascular risk are on the increase in children. High-sensitivity C-reactive protein (hs-CRP) has emerged as a useful marker for inflammation associated with atherosclerosis and cardiovascular disease. Our aim was to determine the distribution of hs-CRP in an effort to identify the MetS variable that is critical in modulating plasma CRP levels in a population of South African adolescents. DESIGN: A cross-sectional analytical study design was used for this investigation, where the dependent and independent variables were measured simultaneously. METHODS: Anthropometric variables, blood pressure, fasting blood glucose and lipids were performed on 324 consenting learners aged 15–18 years from three different ethnic groups (Black, White and Coloured). The National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) for ages 15–18 year olds was used to define MetS. RESULTS: The prevalence of MetS and obesity was 3.7% and 7.1%, respectively. The hs-CRP levels were significantly higher in subjects with a waist-circumference greater than the 90th percentile (p < 0.01) and in obese learners with MetS, but was lower in adolescents with normal weight and MetS. Median hs-CRP levels increased with an increasing number of metabolic abnormalities and exceeded 3 mg/L in 19% of adolescents. Gender and ethnic differences were observed. CONCLUSION: Our findings suggest that obesity and waist circumference appear to be major mediators of hs-CRP levels in South African adolescents. AOSIS OpenJournals 2012-06-04 /pmc/articles/PMC5644523/ /pubmed/29062730 http://dx.doi.org/10.4102/ajlm.v1i1.10 Text en © 2012. The Authors https://creativecommons.org/licenses/by/4.0/ Licensee: AOSIS OpenJournals. This work is licensed under the Creative Commons Attribution License.
spellingShingle Original Research
Rensburg, Megan A.
Matsha, Tandi
Hoffmann, Mariza
Hassan, Mogamat S.
Erasmus, Rajiv T.
Distribution and association of hs-CRP with cardiovascular risk variables of metabolic syndrome in adolescent learners
title Distribution and association of hs-CRP with cardiovascular risk variables of metabolic syndrome in adolescent learners
title_full Distribution and association of hs-CRP with cardiovascular risk variables of metabolic syndrome in adolescent learners
title_fullStr Distribution and association of hs-CRP with cardiovascular risk variables of metabolic syndrome in adolescent learners
title_full_unstemmed Distribution and association of hs-CRP with cardiovascular risk variables of metabolic syndrome in adolescent learners
title_short Distribution and association of hs-CRP with cardiovascular risk variables of metabolic syndrome in adolescent learners
title_sort distribution and association of hs-crp with cardiovascular risk variables of metabolic syndrome in adolescent learners
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5644523/
https://www.ncbi.nlm.nih.gov/pubmed/29062730
http://dx.doi.org/10.4102/ajlm.v1i1.10
work_keys_str_mv AT rensburgmegana distributionandassociationofhscrpwithcardiovascularriskvariablesofmetabolicsyndromeinadolescentlearners
AT matshatandi distributionandassociationofhscrpwithcardiovascularriskvariablesofmetabolicsyndromeinadolescentlearners
AT hoffmannmariza distributionandassociationofhscrpwithcardiovascularriskvariablesofmetabolicsyndromeinadolescentlearners
AT hassanmogamats distributionandassociationofhscrpwithcardiovascularriskvariablesofmetabolicsyndromeinadolescentlearners
AT erasmusrajivt distributionandassociationofhscrpwithcardiovascularriskvariablesofmetabolicsyndromeinadolescentlearners