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      Establishing international optimal cut-offs of waist-to-height ratio for predicting cardiometabolic risk in children and adolescents aged 6–18 years

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      1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 5 , 18 , 7 , 19 , 20 , 13 , 14 , 14 , 15 , 21 , 22 , 23 , 24 , 25 , 1 ,
      BMC Medicine
      BioMed Central
      Waist-to-height ratio, Central obesity, Cardiovascular risk factors, Child, Adolescent

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          Abstract

          Background

          Waist-to-height ratio (WHtR) has been proposed as a simple and effective screening tool for assessing central obesity and cardiometabolic risk in both adult and pediatric populations. However, evidence suggests that the use of a uniform WHtR cut-off of 0.50 may not be universally optimal for pediatric populations globally. We aimed to determine the optimal cut-offs of WHtR in children and adolescents with increased cardiometabolic risk across different countries worldwide.

          Methods

          We used ten population-based cross-sectional data on 24,605 children and adolescents aged 6–18 years from Brazil, China, Greece, Iran, Italy, Korea, South Africa, Spain, the UK, and the USA for establishing optimal WHtR cut-offs. We performed an external independent test (9,619 children and adolescents aged 6–18 years who came from other six countries) to validate the optimal WHtR cut-offs based on the predicting performance for at least two or three cardiometabolic risk factors.

          Results

          Based on receiver operator characteristic curve analyses of various WHtR cut-offs to discriminate those with ≥ 2 cardiometabolic risk factors, the relatively optimal percentile cut-offs of WHtR in the normal weight subsample population in each country did not always coincide with a single fixed percentile, but varied from the 75 th to 95 th percentiles across the ten countries. However, these relatively optimal percentile values tended to cluster irrespective of sex, metabolic syndrome (MetS) criteria used, and WC measurement position. In general, using ≥ 2 cardiometabolic risk factors as the predictive outcome, the relatively optimal WHtR cut-off was around 0.50 in European and the US youths but was lower, around 0.46, in Asian, African, and South American youths. Secondary analyses that directly tested WHtR values ranging from 0.42 to 0.56 at 0.01 increments largely confirmed the results of the main analyses. In addition, the proposed cut-offs of 0.50 and 0.46 for two specific pediatric populations, respectively, showed a good performance in predicting ≥ 2 or ≥ 3 cardiometabolic risk factors in external independent test populations from six countries (Brazil, China, Germany, Italy, Korea, and the USA).

          Conclusions

          The proposed international WHtR cut-offs are easy and useful to identify central obesity and cardiometabolic risk in children and adolescents globally, thus allowing international comparison across populations.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12916-023-03169-y.

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          Most cited references55

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          Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013.

          In 2010, overweight and obesity were estimated to cause 3·4 million deaths, 3·9% of years of life lost, and 3·8% of disability-adjusted life-years (DALYs) worldwide. The rise in obesity has led to widespread calls for regular monitoring of changes in overweight and obesity prevalence in all populations. Comparable, up-to-date information about levels and trends is essential to quantify population health effects and to prompt decision makers to prioritise action. We estimate the global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013. We systematically identified surveys, reports, and published studies (n=1769) that included data for height and weight, both through physical measurements and self-reports. We used mixed effects linear regression to correct for bias in self-reports. We obtained data for prevalence of obesity and overweight by age, sex, country, and year (n=19,244) with a spatiotemporal Gaussian process regression model to estimate prevalence with 95% uncertainty intervals (UIs). Worldwide, the proportion of adults with a body-mass index (BMI) of 25 kg/m(2) or greater increased between 1980 and 2013 from 28·8% (95% UI 28·4-29·3) to 36·9% (36·3-37·4) in men, and from 29·8% (29·3-30·2) to 38·0% (37·5-38·5) in women. Prevalence has increased substantially in children and adolescents in developed countries; 23·8% (22·9-24·7) of boys and 22·6% (21·7-23·6) of girls were overweight or obese in 2013. The prevalence of overweight and obesity has also increased in children and adolescents in developing countries, from 8·1% (7·7-8·6) to 12·9% (12·3-13·5) in 2013 for boys and from 8·4% (8·1-8·8) to 13·4% (13·0-13·9) in girls. In adults, estimated prevalence of obesity exceeded 50% in men in Tonga and in women in Kuwait, Kiribati, Federated States of Micronesia, Libya, Qatar, Tonga, and Samoa. Since 2006, the increase in adult obesity in developed countries has slowed down. Because of the established health risks and substantial increases in prevalence, obesity has become a major global health challenge. Not only is obesity increasing, but no national success stories have been reported in the past 33 years. Urgent global action and leadership is needed to help countries to more effectively intervene. Bill & Melinda Gates Foundation. Copyright © 2014 Elsevier Ltd. All rights reserved.
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            Development of a WHO growth reference for school-aged children and adolescents

            OBJECTIVE: To construct growth curves for school-aged children and adolescents that accord with the WHO Child Growth Standards for preschool children and the body mass index (BMI) cut-offs for adults. METHODS: Data from the 1977 National Center for Health Statistics (NCHS)/WHO growth reference (1-24 years) were merged with data from the under-fives growth standards' cross-sectional sample (18-71 months) to smooth the transition between the two samples. State-of-the-art statistical methods used to construct the WHO Child Growth Standards (0-5 years), i.e. the Box-Cox power exponential (BCPE) method with appropriate diagnostic tools for the selection of best models, were applied to this combined sample. FINDINGS: The merged data sets resulted in a smooth transition at 5 years for height-for-age, weight-for-age and BMI-for-age. For BMI-for-age across all centiles the magnitude of the difference between the two curves at age 5 years is mostly 0.0 kg/m² to 0.1 kg/m². At 19 years, the new BMI values at +1 standard deviation (SD) are 25.4 kg/m² for boys and 25.0 kg/m² for girls. These values are equivalent to the overweight cut-off for adults (> 25.0 kg/m²). Similarly, the +2 SD value (29.7 kg/m² for both sexes) compares closely with the cut-off for obesity (> 30.0 kg/m²). CONCLUSION: The new curves are closely aligned with the WHO Child Growth Standards at 5 years, and the recommended adult cut-offs for overweight and obesity at 19 years. They fill the gap in growth curves and provide an appropriate reference for the 5 to 19 years age group.
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              Establishing a standard definition for child overweight and obesity worldwide: international survey.

              To develop an internationally acceptable definition of child overweight and obesity, specifying the measurement, the reference population, and the age and sex specific cut off points. International survey of six large nationally representative cross sectional growth studies. Brazil, Great Britain, Hong Kong, the Netherlands, Singapore, and the United States. 97 876 males and 94 851 females from birth to 25 years of age. Body mass index (weight/height(2)). For each of the surveys, centile curves were drawn that at age 18 years passed through the widely used cut off points of 25 and 30 kg/m(2) for adult overweight and obesity. The resulting curves were averaged to provide age and sex specific cut off points from 2-18 years. The proposed cut off points, which are less arbitrary and more internationally based than current alternatives, should help to provide internationally comparable prevalence rates of overweight and obesity in children.
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                Author and article information

                Contributors
                xibo2007@126.com
                Journal
                BMC Med
                BMC Med
                BMC Medicine
                BioMed Central (London )
                1741-7015
                15 November 2023
                15 November 2023
                2023
                : 21
                : 442
                Affiliations
                [1 ]Department of Epidemiology, School of Public Health, Shandong University, ( https://ror.org/0207yh398) Jinan, China
                [2 ]Department of Growth and Development, Capital Institute of Pediatrics, ( https://ror.org/00zw6et16) Beijing, China
                [3 ]Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non Communicable Disease, Isfahan University of Medical Sciences, ( https://ror.org/04waqzz56) Isfahan, Iran
                [4 ]Department of Pediatrics, Ewha Womans University School of Medicine, ( https://ror.org/053fp5c05) Seoul, Korea
                [5 ]Atherosclerosis Prevention Institute, Munich-Nuremberg, Munich, Germany
                [6 ]Department of Biomedical Sciences, Faculty of Health & Wellness Sciences, Cape Peninsula University of Technology, ( https://ror.org/056e9h402) Cape Town, South Africa
                [7 ]Department of Physiological Sciences, Center of Health Sciences, Federal University of Espírito Santo, ( https://ror.org/05sxf4h28) Vitória, Brazil
                [8 ]Population Health Research Institute, St George’s, University of London, ( https://ror.org/04cw6st05) London, UK
                [9 ]Department of Maternal and Child Health, Sapienza University of Rome, ( https://ror.org/02be6w209) Rome, Italy
                [10 ]GRID grid.429182.4, Pediatric Endocrinology Research Group, , Girona Biomedical Research Institute (IDIBGI), ; Salt, Spain
                [11 ]GRID grid.411295.a, ISNI 0000 0001 1837 4818, Department of Pediatrics, , Hospital Dr. Josep Trueta, ; Girona, Spain
                [12 ]Department of Medical Sciences, University of Girona, ( https://ror.org/01xdxns91) Girona, Spain
                [13 ]GRID grid.511585.d, Associazione Calabrese Di Epatologia - Medicina Solidale - A.C.E. ETS, ; Reggio Calabria, Italy
                [14 ]Department of Public Health, State University of Paraiba, ( https://ror.org/02cm65z11) Campina Grande, Brazil
                [15 ]Hypertension Center STRIDE-7, School of Medicine, Third Department of Medicine, National and Kapodistrian University of Athens, Sotiria Hospital, ( https://ror.org/04gnjpq42) Athens, Greece
                [16 ]Non Communicable Research Center, Alborz University, ( https://ror.org/004h40g54) Karaj, Iran
                [17 ]GRID grid.264978.6, ISNI 0000 0000 9564 9822, School of Science and Technology, , University of Georgia, ; Tbilisi, Georgia
                [18 ]Department of Public Health, Federal University of Espirito Santo, ( https://ror.org/05sxf4h28) Vitória, ES Brazil
                [19 ]GRID grid.5326.2, ISNI 0000 0001 1940 4177, Institute of Translational Pharmacology, , National Research Council, ; Rome, Italy
                [20 ]Maternal-Fetal Metabolic Research Group, Girona Institute for Biomedical Research (IDIBGI), Salt, Spain
                [21 ]Health Center of Samos, Vathi, Samos Greece
                [22 ]Department of Nutrition and Food Hygiene, School of Public Health, Shandong University, ( https://ror.org/0207yh398) Jinan, China
                [23 ]Baker Heart and Diabetes Institute, ( https://ror.org/03rke0285) Melbourne, VIC Australia
                [24 ]Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, ( https://ror.org/05vghhr25) Turku, Finland
                [25 ]Centre for Population Health Research, University of Turku and Turku University Hospital, ( https://ror.org/05dbzj528) Turku, Finland
                Author information
                http://orcid.org/0000-0003-0491-5585
                Article
                3169
                10.1186/s12916-023-03169-y
                10647138
                37968681
                64054c55-4bfa-4b74-aa1c-4463a69e2b71
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 16 August 2023
                : 9 November 2023
                Funding
                Funded by: Youth Team of Humanistic and Social Science, and the Innovation Team of “Climbing” Programme, Shandong University
                Award ID: 20820IFYT1902
                Award Recipient :
                Funded by: National Key Research and Development Plan: Real-Time Intelligent Active Intervention on Integration of Ten Important Chronic Diseases
                Award ID: 2020YFC2003504-2
                Award Recipient :
                Categories
                Research Article
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                © BioMed Central Ltd., part of Springer Nature 2023

                Medicine
                waist-to-height ratio,central obesity,cardiovascular risk factors,child,adolescent
                Medicine
                waist-to-height ratio, central obesity, cardiovascular risk factors, child, adolescent

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