Waist‐to‐height ratio remains an accurate and practical way of identifying cardiometabolic risks in children and adolescents

Aim We evaluated how effectively the waist‐to‐height ratio (WHtR) identified cardiometabolic risk (CMR) in children and adolescents, compared with the tri‐ponderal mass index, percentage of body fat and other obesity indexes. Methods Eligible subjects were recruited from three metropolitan regions o...

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Published inActa Paediatrica Vol. 107; no. 9; pp. 1629 - 1634
Main Authors Jiang, Yuan, Dou, Ya‐lan, Xiong, Feng, Zhang, Lan, Zhu, Gao‐hui, Wu, Ting, Zhang, Yi, Yan, Wei‐li
Format Journal Article
LanguageEnglish
Published Norway Wiley Subscription Services, Inc 01.09.2018
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ISSN0803-5253
1651-2227
1651-2227
DOI10.1111/apa.14323

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Abstract Aim We evaluated how effectively the waist‐to‐height ratio (WHtR) identified cardiometabolic risk (CMR) in children and adolescents, compared with the tri‐ponderal mass index, percentage of body fat and other obesity indexes. Methods Eligible subjects were recruited from three metropolitan regions of China from May 2013 to June 2014. Subjects with at least three of the following abnormalities – hypertension, dyslipidemia, elevated fasting blood glucose and central obesity – were defined as CMR1 and children with at least two were defined as CMR2. The area under the curve (AUC) of the receiver operating characteristic curve was used to compare how effectively obesity indexes predicted CMR. Results We recruited 3556 subjects aged 7–18 years. All five obesity indexes showed good, comparable performances in identifying CMR and the AUCs ranged from 0.89 to 0.90 for CMR1 and 0.83 to 0.85 for CMR2. The cut‐off of 0.467 for WHtR achieved a sensitivity of 0.91 and specificity of 0.80 for predicting CMR1, with the best cut‐offs being 0.463 for boys and 0.469 for girls. Conclusion The WHtR was a superior and practical screening tool for detecting CMR in this paediatric population, as it provided comparable accuracy to other methods and just required a simple calculation.
AbstractList We evaluated how effectively the waist-to-height ratio (WHtR) identified cardiometabolic risk (CMR) in children and adolescents, compared with the tri-ponderal mass index, percentage of body fat and other obesity indexes. Eligible subjects were recruited from three metropolitan regions of China from May 2013 to June 2014. Subjects with at least three of the following abnormalities - hypertension, dyslipidemia, elevated fasting blood glucose and central obesity - were defined as CMR1 and children with at least two were defined as CMR2. The area under the curve (AUC) of the receiver operating characteristic curve was used to compare how effectively obesity indexes predicted CMR. We recruited 3556 subjects aged 7-18 years. All five obesity indexes showed good, comparable performances in identifying CMR and the AUCs ranged from 0.89 to 0.90 for CMR1 and 0.83 to 0.85 for CMR2. The cut-off of 0.467 for WHtR achieved a sensitivity of 0.91 and specificity of 0.80 for predicting CMR1, with the best cut-offs being 0.463 for boys and 0.469 for girls. The WHtR was a superior and practical screening tool for detecting CMR in this paediatric population, as it provided comparable accuracy to other methods and just required a simple calculation.
Aim We evaluated how effectively the waist‐to‐height ratio (WHtR) identified cardiometabolic risk (CMR) in children and adolescents, compared with the tri‐ponderal mass index, percentage of body fat and other obesity indexes. Methods Eligible subjects were recruited from three metropolitan regions of China from May 2013 to June 2014. Subjects with at least three of the following abnormalities – hypertension, dyslipidemia, elevated fasting blood glucose and central obesity – were defined as CMR1 and children with at least two were defined as CMR2. The area under the curve (AUC) of the receiver operating characteristic curve was used to compare how effectively obesity indexes predicted CMR. Results We recruited 3556 subjects aged 7–18 years. All five obesity indexes showed good, comparable performances in identifying CMR and the AUCs ranged from 0.89 to 0.90 for CMR1 and 0.83 to 0.85 for CMR2. The cut‐off of 0.467 for WHtR achieved a sensitivity of 0.91 and specificity of 0.80 for predicting CMR1, with the best cut‐offs being 0.463 for boys and 0.469 for girls. Conclusion The WHtR was a superior and practical screening tool for detecting CMR in this paediatric population, as it provided comparable accuracy to other methods and just required a simple calculation.
We evaluated how effectively the waist-to-height ratio (WHtR) identified cardiometabolic risk (CMR) in children and adolescents, compared with the tri-ponderal mass index, percentage of body fat and other obesity indexes.AIMWe evaluated how effectively the waist-to-height ratio (WHtR) identified cardiometabolic risk (CMR) in children and adolescents, compared with the tri-ponderal mass index, percentage of body fat and other obesity indexes.Eligible subjects were recruited from three metropolitan regions of China from May 2013 to June 2014. Subjects with at least three of the following abnormalities - hypertension, dyslipidemia, elevated fasting blood glucose and central obesity - were defined as CMR1 and children with at least two were defined as CMR2. The area under the curve (AUC) of the receiver operating characteristic curve was used to compare how effectively obesity indexes predicted CMR.METHODSEligible subjects were recruited from three metropolitan regions of China from May 2013 to June 2014. Subjects with at least three of the following abnormalities - hypertension, dyslipidemia, elevated fasting blood glucose and central obesity - were defined as CMR1 and children with at least two were defined as CMR2. The area under the curve (AUC) of the receiver operating characteristic curve was used to compare how effectively obesity indexes predicted CMR.We recruited 3556 subjects aged 7-18 years. All five obesity indexes showed good, comparable performances in identifying CMR and the AUCs ranged from 0.89 to 0.90 for CMR1 and 0.83 to 0.85 for CMR2. The cut-off of 0.467 for WHtR achieved a sensitivity of 0.91 and specificity of 0.80 for predicting CMR1, with the best cut-offs being 0.463 for boys and 0.469 for girls.RESULTSWe recruited 3556 subjects aged 7-18 years. All five obesity indexes showed good, comparable performances in identifying CMR and the AUCs ranged from 0.89 to 0.90 for CMR1 and 0.83 to 0.85 for CMR2. The cut-off of 0.467 for WHtR achieved a sensitivity of 0.91 and specificity of 0.80 for predicting CMR1, with the best cut-offs being 0.463 for boys and 0.469 for girls.The WHtR was a superior and practical screening tool for detecting CMR in this paediatric population, as it provided comparable accuracy to other methods and just required a simple calculation.CONCLUSIONThe WHtR was a superior and practical screening tool for detecting CMR in this paediatric population, as it provided comparable accuracy to other methods and just required a simple calculation.
AimWe evaluated how effectively the waist‐to‐height ratio (WHtR) identified cardiometabolic risk (CMR) in children and adolescents, compared with the tri‐ponderal mass index, percentage of body fat and other obesity indexes.MethodsEligible subjects were recruited from three metropolitan regions of China from May 2013 to June 2014. Subjects with at least three of the following abnormalities – hypertension, dyslipidemia, elevated fasting blood glucose and central obesity – were defined as CMR1 and children with at least two were defined as CMR2. The area under the curve (AUC) of the receiver operating characteristic curve was used to compare how effectively obesity indexes predicted CMR.ResultsWe recruited 3556 subjects aged 7–18 years. All five obesity indexes showed good, comparable performances in identifying CMR and the AUCs ranged from 0.89 to 0.90 for CMR1 and 0.83 to 0.85 for CMR2. The cut‐off of 0.467 for WHtR achieved a sensitivity of 0.91 and specificity of 0.80 for predicting CMR1, with the best cut‐offs being 0.463 for boys and 0.469 for girls.ConclusionThe WHtR was a superior and practical screening tool for detecting CMR in this paediatric population, as it provided comparable accuracy to other methods and just required a simple calculation.
Author Zhu, Gao‐hui
Zhang, Lan
Jiang, Yuan
Xiong, Feng
Yan, Wei‐li
Zhang, Yi
Dou, Ya‐lan
Wu, Ting
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Issue 9
Keywords Cardiometabolic risk
Waist-to-height ratio
Children
Adolescent
Percentage of body fat
Language English
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Snippet Aim We evaluated how effectively the waist‐to‐height ratio (WHtR) identified cardiometabolic risk (CMR) in children and adolescents, compared with the...
We evaluated how effectively the waist-to-height ratio (WHtR) identified cardiometabolic risk (CMR) in children and adolescents, compared with the tri-ponderal...
AimWe evaluated how effectively the waist‐to‐height ratio (WHtR) identified cardiometabolic risk (CMR) in children and adolescents, compared with the...
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SubjectTerms Adolescent
Adolescents
Body fat
Body height
Cardiometabolic risk
Children
Dyslipidemia
Obesity
Percentage of body fat
Teenagers
Waist‐to‐height ratio
Title Waist‐to‐height ratio remains an accurate and practical way of identifying cardiometabolic risks in children and adolescents
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fapa.14323
https://www.ncbi.nlm.nih.gov/pubmed/29569350
https://www.proquest.com/docview/2087607040
https://www.proquest.com/docview/2018019420
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