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 in | Acta Paediatrica Vol. 107; no. 9; pp. 1629 - 1634 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Norway
Wiley Subscription Services, Inc
01.09.2018
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Subjects | |
Online Access | Get full text |
ISSN | 0803-5253 1651-2227 1651-2227 |
DOI | 10.1111/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. |
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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 |
Author_xml | – sequence: 1 givenname: Yuan surname: Jiang fullname: Jiang, Yuan organization: Children's Hospital of Fudan University – sequence: 2 givenname: Ya‐lan surname: Dou fullname: Dou, Ya‐lan organization: Children's Hospital of Fudan University – sequence: 3 givenname: Feng surname: Xiong fullname: Xiong, Feng organization: Children's Hospital of Chongqing Medical University – sequence: 4 givenname: Lan surname: Zhang fullname: Zhang, Lan organization: Chengdu Women& Children's Central Hospital – sequence: 5 givenname: Gao‐hui surname: Zhu fullname: Zhu, Gao‐hui organization: Children's Hospital of Chongqing Medical University – sequence: 6 givenname: Ting surname: Wu fullname: Wu, Ting organization: Chengdu Women& Children's Central Hospital – sequence: 7 givenname: Yi surname: Zhang fullname: Zhang, Yi organization: Children's Hospital of Fudan University – sequence: 8 givenname: Wei‐li orcidid: 0000-0002-7633-7449 surname: Yan fullname: Yan, Wei‐li email: yanwl@fudan.edu.cn organization: Children's Hospital of Fudan University |
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Cites_doi | 10.1111/j.2047-6310.2013.00192.x 10.1371/journal.pone.0149351 10.4158/EP161291.OR 10.1038/sj.ijo.0801401 10.1017/S0954422410000144 10.1016/j.clnu.2013.05.010 10.1111/j.1467-789X.2012.01016.x 10.1038/oby.2007.601 10.1186/s12887-015-0486-5 10.1038/srep43686 10.5551/jat.31302 10.1136/bmjopen-2016-014542 10.1016/j.jacc.2013.01.026 10.1056/NEJMoa1006992 10.1111/sms.12826 10.1016/j.ijcard.2016.07.169 10.1136/eb-2016-102506 10.1001/jamapediatrics.2017.0460 10.2337/dc14-S081 10.1542/peds.103.6.1175 |
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Keywords | Cardiometabolic risk Waist-to-height ratio Children Adolescent Percentage of body fat |
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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 |
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