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, Julien S Baker

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Objectives: To evaluate the ability of BMI, WC and WHtR to identify increased cardiometabolic risk in pre-adolescents. Methods: This 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). Results: A 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 to 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. Conclusions: Findings suggest that WHtR provides similar cardiometabolic risk estimates to age and sex adjusted BMI.
LanguageEnglish
JournalAmerican Journal of Human Biology
Volumeonline
DOIs
Publication statusAccepted/In press - 5 Oct 2016

Fingerprint

Blood Pressure
Diagnostic Errors
ROC Curve
HDL Cholesterol
Triglycerides
Cross-Sectional Studies
Confidence Intervals
Glucose
Sensitivity and Specificity
Cardiorespiratory Fitness
United Kingdom

Keywords

  • Waist-to-height ratio
  • cardiometabolic risk
  • youth
  • screening
  • adiposity

Cite this

Buchan, D. S., Boddy, L. M., Grace, F. M., Brown, E., Sculthorpe, N., Cunningham, C., ... Baker, J. S. (Accepted/In press). Utility of three anthropometric indices in assessing the cardiometabolic risk profile in children. American Journal of Human Biology, online. https://doi.org/10.1002/ajhb.22934
Buchan, Duncan S ; Boddy, Lynne M ; Grace, Fergal M ; Brown, Elise ; Sculthorpe, Nicholas ; Cunningham, Conor ; Murphy, Marie H. ; Dagger, Rebecca ; Foweather, Lawrence ; Graves, Lee E F ; Hopkins, Nicola D ; Stratton, Gareth ; Baker, Julien S. / Utility of three anthropometric indices in assessing the cardiometabolic risk profile in children. In: American Journal of Human Biology. 2016 ; Vol. online.
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abstract = "Objectives: To evaluate the ability of BMI, WC and WHtR to identify increased cardiometabolic risk in pre-adolescents. Methods: This 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). Results: A 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 to 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. Conclusions: Findings suggest that WHtR provides similar cardiometabolic risk estimates to age and sex adjusted BMI.",
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Buchan, DS, Boddy, LM, Grace, FM, Brown, E, Sculthorpe, N, Cunningham, C, Murphy, MH, Dagger, R, Foweather, L, Graves, LEF, Hopkins, ND, Stratton, G & Baker, JS 2016, 'Utility of three anthropometric indices in assessing the cardiometabolic risk profile in children.', American Journal of Human Biology, vol. online. https://doi.org/10.1002/ajhb.22934

Utility of three anthropometric indices in assessing the cardiometabolic risk profile in children. / Buchan, Duncan S; Boddy, Lynne M; Grace, Fergal M; Brown, Elise; Sculthorpe, Nicholas; Cunningham, Conor; Murphy, Marie H.; Dagger, Rebecca; Foweather, Lawrence; Graves, Lee E F; Hopkins, Nicola D; Stratton, Gareth; Baker, Julien S.

In: American Journal of Human Biology, Vol. online, 05.10.2016.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Utility of three anthropometric indices in assessing the cardiometabolic risk profile in children.

AU - Buchan, Duncan S

AU - Boddy, Lynne M

AU - Grace, Fergal M

AU - Brown, Elise

AU - Sculthorpe, Nicholas

AU - Cunningham, Conor

AU - Murphy, Marie H.

AU - Dagger, Rebecca

AU - Foweather, Lawrence

AU - Graves, Lee E F

AU - Hopkins, Nicola D

AU - Stratton, Gareth

AU - Baker, Julien S

PY - 2016/10/5

Y1 - 2016/10/5

N2 - Objectives: To evaluate the ability of BMI, WC and WHtR to identify increased cardiometabolic risk in pre-adolescents. Methods: This 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). Results: A 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 to 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. Conclusions: Findings suggest that WHtR provides similar cardiometabolic risk estimates to age and sex adjusted BMI.

AB - Objectives: To evaluate the ability of BMI, WC and WHtR to identify increased cardiometabolic risk in pre-adolescents. Methods: This 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). Results: A 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 to 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. Conclusions: Findings suggest that WHtR provides similar cardiometabolic risk estimates to age and sex adjusted BMI.

KW - Waist-to-height ratio

KW - cardiometabolic risk

KW - youth

KW - screening

KW - adiposity

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DO - 10.1002/ajhb.22934

M3 - Article

VL - online

JO - American Journal of Human Biology

T2 - American Journal of Human Biology

JF - American Journal of Human Biology

SN - 1042-0533

ER -