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Utility of three anthropometric indices in assessing the cardiometabolic risk profile in children

Duncan S. Buchan, Lynne M. Boddy, Fergal M. Grace, Elise Brown, Nicholas Sculthorpe, Conor Cunningham, Marie H. Murphy, Rebecca Dagger, Lawrence Foweather, Lee E. F. Graves, Nicola D. Hopkins, Gareth Stratton Orcid Logo, Julien S. Baker

American Journal of Human Biology, Volume: 29, Issue: 3, Start page: e22934

Swansea University Author: Gareth Stratton Orcid Logo

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DOI (Published version): 10.1002/ajhb.22934

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ObjectivesTo evaluate the ability of BMI, WC, and WHtR to identify increased cardiometabolic risk in pre-adolescents.MethodsThis is a cross-sectional study involving 192 children (10.92 ± 0.58 years, 56% female) from the United Kingdom between 2010 and 2013. Receiver operating characteristic curves...

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Published in: American Journal of Human Biology
ISSN: 1042-0533
Published: 2017
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URI: https://cronfa.swan.ac.uk/Record/cronfa30519
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spelling 2017-05-30T11:22:28.0174154 v2 30519 2016-10-10 Utility of three anthropometric indices in assessing the cardiometabolic risk profile in children 6d62b2ed126961bed81a94a2beba8a01 0000-0001-5618-0803 Gareth Stratton Gareth Stratton true false 2016-10-10 STSC ObjectivesTo evaluate the ability of BMI, WC, and WHtR to identify increased cardiometabolic risk in pre-adolescents.MethodsThis is a cross-sectional study involving 192 children (10.92 ± 0.58 years, 56% female) from the United Kingdom between 2010 and 2013. Receiver operating characteristic curves determined the discriminatory ability of BMI, WC and WHtR to identify individuals with increased cardiometabolic risk (increased clustered triglycerides, HDL-cholesterol, systolic blood pressure, cardiorespiratory fitness, and glucose).ResultsA WHtR ≥ 0.5 increased the odds by 5.2 (95% confidence interval 2.6 - 10.3) of having increased cardiometabolic risk. Similar associations were observed for BMI and WC. Both BMI-z and WHtR were fair predictors of increased cardiometabolic risk, although BMI-z demonstrated the best trade-off between sensitivity and specificity, 76.1% and 63.6%, compared with 68.1% and 65.5% for WHtR. Cross-validation analysis revealed that BMI-z and WHtR correctly classified 84% of individuals (kappa score = 0.671, 95% CI 0.55, 0.79). The sensitivity of the cut-points suggests that 89.3% of individuals were correctly classified as being at risk with only 10.7% misdiagnosed whereas the specificity of the cut-points indicated that 77.8% of individuals were correctly identified as being healthy with 22.2% of individuals incorrectly diagnosed as being at risk.ConclusionsFindings suggest that WHtR provides similar cardiometabolic risk estimates to age and sex adjusted BMI. Journal Article American Journal of Human Biology 29 3 e22934 1042-0533 31 12 2017 2017-12-31 10.1002/ajhb.22934 COLLEGE NANME Sport and Exercise Sciences COLLEGE CODE STSC Swansea University 2017-05-30T11:22:28.0174154 2016-10-10T09:24:51.4868512 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences Duncan S. Buchan 1 Lynne M. Boddy 2 Fergal M. Grace 3 Elise Brown 4 Nicholas Sculthorpe 5 Conor Cunningham 6 Marie H. Murphy 7 Rebecca Dagger 8 Lawrence Foweather 9 Lee E. F. Graves 10 Nicola D. Hopkins 11 Gareth Stratton 0000-0001-5618-0803 12 Julien S. Baker 13 0030519-10102016092551.pdf buchan2016.pdf 2016-10-10T09:25:51.9530000 Output 463298 application/pdf Accepted Manuscript true 2017-11-01T00:00:00.0000000 true
title Utility of three anthropometric indices in assessing the cardiometabolic risk profile in children
spellingShingle Utility of three anthropometric indices in assessing the cardiometabolic risk profile in children
Gareth Stratton
title_short Utility of three anthropometric indices in assessing the cardiometabolic risk profile in children
title_full Utility of three anthropometric indices in assessing the cardiometabolic risk profile in children
title_fullStr Utility of three anthropometric indices in assessing the cardiometabolic risk profile in children
title_full_unstemmed Utility of three anthropometric indices in assessing the cardiometabolic risk profile in children
title_sort Utility of three anthropometric indices in assessing the cardiometabolic risk profile in children
author_id_str_mv 6d62b2ed126961bed81a94a2beba8a01
author_id_fullname_str_mv 6d62b2ed126961bed81a94a2beba8a01_***_Gareth Stratton
author Gareth Stratton
author2 Duncan S. Buchan
Lynne M. Boddy
Fergal M. Grace
Elise Brown
Nicholas Sculthorpe
Conor Cunningham
Marie H. Murphy
Rebecca Dagger
Lawrence Foweather
Lee E. F. Graves
Nicola D. Hopkins
Gareth Stratton
Julien S. Baker
format Journal article
container_title American Journal of Human Biology
container_volume 29
container_issue 3
container_start_page e22934
publishDate 2017
institution Swansea University
issn 1042-0533
doi_str_mv 10.1002/ajhb.22934
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Sport and Exercise Sciences
document_store_str 1
active_str 0
description ObjectivesTo evaluate the ability of BMI, WC, and WHtR to identify increased cardiometabolic risk in pre-adolescents.MethodsThis is a cross-sectional study involving 192 children (10.92 ± 0.58 years, 56% female) from the United Kingdom between 2010 and 2013. Receiver operating characteristic curves determined the discriminatory ability of BMI, WC and WHtR to identify individuals with increased cardiometabolic risk (increased clustered triglycerides, HDL-cholesterol, systolic blood pressure, cardiorespiratory fitness, and glucose).ResultsA WHtR ≥ 0.5 increased the odds by 5.2 (95% confidence interval 2.6 - 10.3) of having increased cardiometabolic risk. Similar associations were observed for BMI and WC. Both BMI-z and WHtR were fair predictors of increased cardiometabolic risk, although BMI-z demonstrated the best trade-off between sensitivity and specificity, 76.1% and 63.6%, compared with 68.1% and 65.5% for WHtR. Cross-validation analysis revealed that BMI-z and WHtR correctly classified 84% of individuals (kappa score = 0.671, 95% CI 0.55, 0.79). The sensitivity of the cut-points suggests that 89.3% of individuals were correctly classified as being at risk with only 10.7% misdiagnosed whereas the specificity of the cut-points indicated that 77.8% of individuals were correctly identified as being healthy with 22.2% of individuals incorrectly diagnosed as being at risk.ConclusionsFindings suggest that WHtR provides similar cardiometabolic risk estimates to age and sex adjusted BMI.
published_date 2017-12-31T03:37:07Z
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