Skip to main content

OPINION article

Front. Endocrinol., 29 June 2022
Sec. Pediatric Endocrinology
This article is part of the Research Topic Metabolically Healthy and Unhealthy Obese Children and Adolescents, volume II View all 7 articles

A Proposal to Unify the Definition of the Metabolic Syndrome in Children and Adolescents

Xin&#x;nan Zong*Xin’nan Zong1*Pascal BovetPascal Bovet2Bo XiBo Xi3
  • 1Department of Growth and Development, Capital Institute of Pediatrics, Beijing, China
  • 2Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
  • 3Department of Epidemiology, School of Public Health, Shandong University, Jinan, China

Introduction

There was no international consensus how to define the metabolic syndrome (MetS) in children and adolescents so far (1, 2). According to the most widely used MetS definitions in children and adolescents (3, 4), MetS can be diagnosed with abdominal obesity and the presence of two or more other clinical features (i.e., high triglycerides (TG), low high-density lipoprotein cholesterol (HDL-C), elevated blood pressure (BP), or impaired fasting plasma glucose). A recent review clearly pointed out that a key limitation in the area of MetS research was the different definitions and cut-offs of the components of pediatric MetS (5). Static cut-offs for high TG, low HDL-C and impaired fasting plasma glucose which do not depend of sex and age, are widely accepted and used in most of the MetS definitions (3, 4, 68). In view of more strong association with sex and age in children and adolescents, sex- and age-dependent percentile cut-offs for defining abdominal obesity and elevated BP are recommended (3, 4, 6, 7, 9, 10), and yet only percentile cut-offs were available at the national level in the past. Due to the lack of unified international cut-offs for abdominal obesity and elevated BP in pediatric population, it is very difficult to make robust global estimates and direct international comparisons of MetS prevalence in children and adolescents across countries/regions worldwide. Therefore, we need to do better to define abdominal obesity and elevated BP in children and adolescents so that we can provide a unified international definition of MetS in children and adolescents for more powerful monitoring and assessment and more coordinated action for global prevention and control of cardiovascular disease.

What’s Known on the Definitions of Abdominal Obesity and Elevated BP in Children and Adolescents?

The International Diabetes Federation (IDF) and some other groups/researches have recommended to use the 90th percentile of waist circumference (WC) to define abdominal obesity in children and adolescents (3, 4, 7, 9, 10). Similarly, the 90th percentile of BP are also recommended to define elevated BP in children and adolescents (3, 6, 7, 9, 10). However, the 90th percentiles of WC and BP used in these MetS definitions were country-specific WC and BP reference values across different national samples, which was disadvantageous to international comparison of population estimation of abdominal obesity, elevated BP and MetS across different countries/regions. It would therefore be useful to rely on the international 90th percentile cut-offs of WC and BP for the definition of abdominal obesity, elevated BP and MetS in children and adolescents.

Establishment and Application of International WC Reference Values for Children and Adolescents

In 2020, the international sex- and age-specific WC percentile references were established for children and adolescents between 6 and 18 years based on 72,841 normal-weight children (excluding individuals who were overweight, obese or underweight from the analysis) from eight countries (Bulgaria, China, Iran, Korea, Malaysia, Poland, Seychelles and Switzerland) (11). These international sex- and age-specific 90th percentile WC cut-offs performed well for predicting cardiovascular risk. These international WC cut-offs allowed direct comparison of prevalence of pediatric abdominal obesity across countries/regions. A systematic review stated that these international WC cut-offs have been universally accepted to help identify groups and/or individuals at risk of poor health (12). In 2021, these international WC cut-offs have been recommended by an international expert consensus on pediatric metabolic (dysfunction)-associated fatty liver disease (13).

Establishment and Application of International BP Reference Values for Children and Adolescents

In 2016, the international sex-, age-, and height-specific BP percentile references (including systolic BP and diastolic BP) were established for children and adolescents between 6 and 17 years based on 52,636 non-overweight children (excluded individuals who were overweight or obese from the analysis) from seven countries (China, India, Iran, Korea, Poland, Tunisia and USA) (14). These international BP references generated from multiple countries were considered as a useful tool for international comparison of elevated BP prevalence in children and adolescents and may help identify hypertensive youths in diverse populations (15, 16). In 2017, these international BP percentiles were recommended as appropriate pediatric normative data by TRUE Consortium (17). In 2019, a scientific statement on cardiovascular risk reduction in high-risk pediatric patients from the American Heart Association stated that these cross-cultural, international BP references could be of additional value in the future (18).

Proposal and Discussion

We propose that these international 90th percentile cut-offs for WC and BP (11, 14) may be used for the diagnosis of MetS in children and adolescents. We suggest that MetS can be diagnosed among children and adolescents between 6 and 17 years by ①WC≥90th percentile (sex- and age-specific, international WC references (11)) and the presence of two or more other clinical features (i.e., ②TG≥130 mg/dL for 10-17-year-old or ≥100 mg/dL for 6-9-year-old (19), ③HDL-C<40 mg/dL (19), ④systolic BP≥90th percentile or diastolic BP≥90th percentile (sex-, age- and height-specific, international BP references (14)), or ⑤impaired fasting plasma glucose≥100 mg/dL (4, 20)). The greatest value of our proposed unified international MetS definition is to provide a universal framework that allows direct comparison or data synthesis of the MetS prevalence across countries/regions worldwide. Our proposed universal MetS definition is a supplement to the existing definitions and is not intended to replace the existing definitions. Further studies should be conducted to evaluate the short-term and long-term outcomes of those vulnerable individuals with the MetS identified by our proposed universal international definition.

The following points need to be attended. First, younger children, such as the age of 2 to 5 years may also have the potential risk of MetS. Early diagnosis of the MetS at this age was also regarded as an urgent and necessary task (21). A recent prospective cohort study showed risk factor level even in early childhood also linked to adult cardiovascular clinical events (22). We look forward to more evidence and debate on whether the MetS should be diagnosed at this age. Second, like the most widely used MetS definitions in children and adolescents (3, 4), our proposed unified international MetS definition also recommended WC as a proxy of abdominal obesity. WC was considered a good predictor of visceral adipose tissue and an effective measure of abdominal obesity in children and adolescents (23, 24). Many studies have revealed that WC can well predict cardiovascular risk in children and adolescents (2529), however, a few studies have observed that WC even other anthropometric indices may be not satisfactory markers of metabolic comorbidity (30, 31). We hope that more studies will continue to focus on the association between anthropometric indices and cardiovascular disease in the future. Third, for more accurate evaluation, sex- and age-specific TG and HDL-C values and fasting plasma glucose values should be also considered in the MetS definition in children and adolescents although lipids and glucose level in children and adolescent vary relatively moderately with age. The Lipid Research Clinics Prevalence Study data and the IDEFICS data from large-scale samples could be considered to be used (10, 32) before the emergence of new international data. Fourth, an accurate measurement for WC, systolic and diastolic BP, TG, HDL-C, and fasting plasma glucose must be made following a standardized measurement method so as to present a true MetS estimation and make valid comparison between nations/regions. It should be noted that different lipid measurement methods may have an impact on the results, according to the criteria of the CDC’s Lipid Standardization Program, lipid measurements were recommended for TG using the mass spectrometry–based method and for HDL-C using the ultracentrifugation method (33).

There is no denying that there is controversy and confusion for the MetS concept, but the MetS as an entity is still important and useful, because it identifies a common multiple cardiovascular-risk phenotype that confers a greater risk of cardiovascular disease than a single risk factor (19, 34). Owing to the absence of defined etiology and the unclear implications for clinical care, some pediatric experts preferred focusing attention on the importance of screening for and treating the individual risk factor components of MetS and those children with cardiometabolic risk factor clustering (35). We believe that whether the interest is the MetS or the single risk factor component, the common goal is to reduce the risk and burden of cardiovascular disease and type 2 diabetes.

Conclusion

Our proposed unified international MetS definition may be useful for population estimation and direct comparison of the MetS prevalence in children and adolescents worldwide, and also for clinical purposes, particularly in countries that have not developed their own national normative data on WC and BP in children and adolescents.

Author Contributions

XZ: study designed, literature searched and wrote the original draft. PB: study designed and manuscript revised. BX: study designed and manuscript revised. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Weihe P, Weihrauch-Blüher S. Metabolic Syndrome in Children and Adolescents: Diagnostic Criteria, Therapeutic Options and Perspectives. Curr Obes Rep (2019) 8(4):472–9. doi: 10.1007/s13679-019-00357-x

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Christian Flemming GM, Bussler S, Körner A, Kiess W. Definition and Early Diagnosis of Metabolic Syndrome in Children. J Pediatr Endocrinol Metab (2020) 33(7):821–33. doi: 10.1515/jpem-2019-0552

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Cook S, Weitzman M, Auinger P, Nguyen M, Dietz WH. Prevalence of a Metabolic Syndrome Phenotype in Adolescents: Findings From the Third National Health and Nutrition Examination Survey, 1988-1994. Arch Pediatr Adolesc Med (2003) 157(8):821–7. doi: 10.1001/archpedi.157.8.821

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Zimmet P, Alberti KG, Kaufman F, Tajima N, Silink M, Arslanian S, et al. The Metabolic Syndrome in Children and Adolescents - an IDF Consensus Report. Pediatr Diabetes (2007) 8(5):299–306. doi: 10.1111/j.1399-5448.2007.00271.x

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Reisinger C, Nkeh-Chungag BN, Fredriksen PM, Goswami N. The Prevalence of Pediatric Metabolic Syndrome-a Critical Look on the Discrepancies Between Definitions and its Clinical Importance. Int J Obes (Lond) (2021) 45(1):12–24. doi: 10.1038/s41366-020-00713-1

PubMed Abstract | CrossRef Full Text | Google Scholar

6. de Ferranti SD, Gauvreau K, Ludwig DS, Neufeld EJ, Newburger JW, Rifai N. Prevalence of the Metabolic Syndrome in American Adolescents: Findings From the Third National Health and Nutrition Examination Survey. Circulation (2004) 110(16):2494–7. doi: 10.1161/01.CIR.0000145117.40114.C7

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Ford ES, Ajani UA, Mokdad AH, National Health and Nutrition Examination. The Metabolic Syndrome and Concentrations of C-Reactive Protein Among U.S. Youth. Diabetes Care (2005) 28(4):878–81. doi: 10.2337/diacare.28.4.878

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Viner RM, Segal TY, Lichtarowicz-Krynska E, Hindmarsh P. Prevalence of the Insulin Resistance Syndrome in Obesity. Arch Dis Child (2005) 90(1):10–4. doi: 10.1136/adc.2003.036467

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Cruz ML, Weigensberg MJ, Huang TT, Ball G, Shaibi GQ, Goran MI. The Metabolic Syndrome in Overweight Hispanic Youth and the Role of Insulin Sensitivity. J Clin Endocrinol Metab (2004) 89(1):108–13. doi: 10.1210/jc.2003-031188

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Ahrens W, Moreno LA, Mårild S, Molnár D, Siani A, De Henauw S, et al. Metabolic Syndrome in Young Children: Definitions and Results of the IDEFICS Study. Int J Obes (Lond) (2014) 38 Suppl 2:S4–14. doi: 10.1038/ijo.2014.130

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Xi B, Zong X, Kelishadi R, Litwin M, Hong YM, Poh BK, et al. International Waist Circumference Percentile Cutoffs for Central Obesity in Children and Adolescents Aged 6 to 18 Years. J Clin Endocrinol Metab (2020) 105(4):e1569–83. doi: 10.1210/clinem/dgz195

CrossRef Full Text | Google Scholar

12. Fraser BJ, Rollo S, Sampson M, Magnussen CG, Lang JJ, Tremblay MS, et al. Health-Related Criterion-Referenced Cut-Points for Musculoskeletal Fitness Among Youth: A Systematic Review. Sports Med (2021) 51(12):2629–46. doi: 10.1007/s40279-021-01524-8

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Eslam M, Alkhouri N, Vajro P, Baumann U, Weiss R, Socha P, et al. Defining Paediatric Metabolic (Dysfunction)-Associated Fatty Liver Disease: An International Expert Consensus Statement. Lancet Gastroenterol Hepatol (2021) 6(10):864–73. doi: 10.1016/S2468-1253(21)00183-7

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Xi B, Zong X, Kelishadi R, Hong YM, Khadilkar A, Steffen LM, et al. Establishing International Blood Pressure References Among Nonoverweight Children and Adolescents Aged 6 to 17 Years. Circulation (2016) 133(4):398–408. doi: 10.1161/CIRCULATIONAHA.115.017936

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Noubiap JJ, Essouma M, Bigna JJ, Jingi AM, Aminde LN, Nansseu JR. Prevalence of Elevated Blood Pressure in Children and Adolescents in Africa: A Systematic Review and Meta-Analysis. Lancet Public Health (2017) 2(8):e375–86. doi: 10.1016/S2468-2667(17)30123-8

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Aatola H, Koivistoinen T, Tuominen H, Juonala M, Lehtimäki T, Viikari JSA, et al. Influence of Child and Adult Elevated Blood Pressure on Adult Arterial Stiffness: The Cardiovascular Risk in Young Finns Study. Hypertension (2017) 70(3):531–6. doi: 10.1161/HYPERTENSIONAHA.117.09444

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Consortium TRUE. Recommended Standards for Assessing Blood Pressure in Human Research Where Blood Pressure or Hypertension is a Major Focus. Clin Exp Hypertens (2018) 40(6):509–13. doi: 10.1080/10641963.2017.1281939

PubMed Abstract | CrossRef Full Text | Google Scholar

18. de Ferranti SD, Steinberger J, Ameduri R, Baker A, Gooding H, Kelly AS, et al. Cardiovascular Risk Reduction in High-Risk Pediatric Patients: A Scientific Statement From the American Heart Association. Circulation (2019) 139(13):e603–34. doi: 10.1161/CIR.0000000000000618

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents, National Heart, Lung, and Blood Institute. Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents: Summary Report. Pediatrics (2011) 128 Suppl 5(Suppl 5):S213–56. doi: 10.1542/peds.2009-2107C

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Genuth S, Alberti KG, Bennett P, Buse J, Defronzo R, Kahn R, et al. Follow-Up Report on the Diagnosis of Diabetes Mellitus. Diabetes Care (2003) 26(11):3160–7. doi: 10.2337/diacare.26.11.3160

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Chiarelli F, Mohn A. Early Diagnosis of Metabolic Syndrome in Children. Lancet Child Adolesc Health (2017) 1(2):86–8. doi: 10.1016/S2352-4642(17)30043-3

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Jacobs DR Jr, Woo JG, Sinaiko AR, Daniels SR, Ikonen J, Juonala M, et al. Childhood Cardiovascular Risk Factors and Adult Cardiovascular Events. N Engl J Med (2022) 386(20):1877–88. doi: 10.1056/NEJMoa2109191

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Brambilla P, Bedogni G, Moreno LA, Goran MI, Gutin B, Fox KR, et al. Crossvalidation of Anthropometry Against Magnetic Resonance Imaging for the Assessment of Visceral and Subcutaneous Adipose Tissue in Children. Int J Obes (Lond) (2006) 30(1):23–30. doi: 10.1038/sj.ijo.0803163

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Taylor RW, Jones IE, Williams SM, Goulding A. Evaluation of Waist Circumference, Waist-to-Hip Ratio, and the Conicity Index as Screening Tools for High Trunk Fat Mass, as Measured by Dual-Energy X-Ray Absorptiometry, in Children Aged 3-19 Y. Am J Clin Nutr (2000) 72(2):490–5. doi: 10.1093/ajcn/72.2.490

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Savva SC, Tornaritis M, Savva ME, Kourides Y, Panagi A, Silikiotou N, et al. Waist Circumference and Waist-to-Height Ratio are Better Predictors of Cardiovascular Disease Risk Factors in Children Than Body Mass Index. Int J Obes Relat Metab Disord (2000) 24(11):1453–8. doi: 10.1038/sj.ijo.0801401

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Mehta SK, Richards N, Lorber R, Rosenthal GL. Abdominal Obesity, Waist Circumference, Body Mass Index, and Echocardiographic Measures in Children and Adolescents. Congenit Heart Dis (2009) 4(5):338–47. doi: 10.1111/j.1747-0803.2009.00330.x

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Reinehr T, Wunsch R. Relationships Between Cardiovascular Risk Profile, Ultrasonographic Measurement of Intra-Abdominal Adipose Tissue, and Waist Circumference in Obese Children. Clin Nutr (2010) 29(1):24–30. doi: 10.1016/j.clnu.2009.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Spolidoro JV, Pitrez Filho ML, Vargas LT, Santana JC, Pitrez E, Hauschild JA, et al. Waist Circumference in Children and Adolescents Correlate With Metabolic Syndrome and Fat Deposits in Young Adults. Clin Nutr (2013) 32(1):93–7. doi: 10.1016/j.clnu.2012.05.020

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Ma L, Cai L, Deng L, Zhu Y, Ma J, Jing J, et al. Waist Circumference is Better Than Other Anthropometric Indices for Predicting Cardiovascular Disease Risk Factors in Chinese Children–a Cross-Sectional Study in Guangzhou. J Atheroscler Thromb (2016) 23(3):320–9. doi: 10.5551/jat.31302

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Morandi A, Miraglia Del Giudice E, Martino F, Martino E, Bozzola M, Maffeis C. Anthropometric Indices are Not Satisfactory Predictors of Metabolic Comorbidities in Obese Children and Adolescents. J Pediatr (2014) 165(6):1178–83.e2. doi: 10.1016/j.jpeds.2014.07.004

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Li Y, Zou Z, Luo J, Ma J, Ma Y, Jing J, et al. The Predictive Value of Anthropometric Indices for Cardiometabolic Risk Factors in Chinese Children and Adolescents: A National Multicenter School-Based Study. PLoS One (2020) 15(1):e0227954. doi: 10.1371/journal.pone.0227954

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Christensen B, Glueck C, Kwiterovich P, Degroot I, Chase G, Heiss G, et al. Plasma Cholesterol and Triglyceride Distributions in 13,665 Children and Adolescents: The Prevalence Study of the Lipid Research Clinics Program. Pediatr Res (1980) 14(3):194–202. doi: 10.1203/00006450-198003000-00004

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Lipid Standardization Program, Centers for Disease Control and Prevention. Laboratory quality assurance and standardization programs: Atlanta, Georgia, 2017. Available at: https://www.cdc.gov/labstandards/lrl.html.

Google Scholar

34. Cornier MA, Dabelea D, Hernandez TL, Lindstrom RC, Steig AJ, Stob NR, et al. The Metabolic Syndrome. Endocr Rev (2008) 29(7):777–822. doi: 10.1210/er.2008-0024

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Magge SN, Goodman E, Armstrong SC, Committee On Nutrition; Section On Endocrinology; Section On Obesity. The Metabolic Syndrome in Children and Adolescents: Shifting the Focus to Cardiometabolic Risk Factor Clustering. Pediatrics (2017) 140(2):e20171603. doi: 10.1542/peds.2017-1603

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: metabolic syndrome, obesity, blood pressure, hypertension, waist circumference, abdominal obesity, children, adolescents

Citation: Zong X, Bovet P and Xi B (2022) A Proposal to Unify the Definition of the Metabolic Syndrome in Children and Adolescents. Front. Endocrinol. 13:925976. doi: 10.3389/fendo.2022.925976

Received: 22 April 2022; Accepted: 30 May 2022;
Published: 29 June 2022.

Edited by:

Giuliana Valerio, University of Naples Parthenope, Italy

Reviewed by:

Jorma Viikari, University of Turku, Finland
Anita Morandi, Integrated University Hospital Verona, Italy

Copyright © 2022 Zong, Bovet and Xi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Xin’nan Zong, xnzong@163.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.