Literature DB >> 28058532

Comparison of definitions for the metabolic syndrome in adolescents. The HELENA study.

Tine Vanlancker1, Emmily Schaubroeck1, Krishna Vyncke2, Cristina Cadenas-Sanchez3, Christina Breidenassel4,5, Marcela González-Gross5,6, Frederic Gottrand7,8, Luis A Moreno9,10, Laurent Beghin7,8, Denes Molnár11, Yannis Manios12, Marc J Gunter13, Kurt Widhalm14, Catherine Leclercq15, Jean Dallongeville16, Marcos Ascensión17, Anthony Kafatos18, Manuel J Castillo19, Stefaan De Henauw2, Francisco B Ortega3,20, Inge Huybrechts21,22.   

Abstract

Various definitions are used to define metabolic syndrome in adolescents. This study aimed to compare, in terms of prevalence and differences, five frequently used definitions for this population: International Diabetes Federation, National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP) modified by Cook, pediatric American Heart Association (AHA), World Health Organization, and Jolliffe and Janssen. A sample of 1004 adolescents (12.5-17.0 years) from the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study was considered. The components of the definitions (waist circumference/BMI, plasma lipids, glycemia, and blood pressure) were applied, and definitions were compared by using crosstabs, sensitivity, specificity, and kappa coefficient. The prevalence of metabolic syndrome varied from 1.6 to 3.8% depending on the used definitions. Crosstabs comparing the definitions showed the fewest cases being misclassified (having metabolic syndrome or not) between NCEP-ATP and AHA. Analyses for kappa coefficient, sensitivity, and specificity confirmed this finding.
CONCLUSION: The different definitions do not classify the same adolescents as having MS and prevalence varied between diagnostic methods. The modified NCEP-ATP and the AHA definitions were most analogous in defining subjects as having metabolic syndrome or not. What is known? • Metabolic syndrome is not only a problem of adulthood but is already present in children and adolescents. • Several diagnostic methods are used to define metabolic syndrome in adolescents. What is new? • Comparing the most frequently used definitions of metabolic syndrome in adolescents showed that they do not indicate the same adolescents as having metabolic syndrome. • The modified National Cholesterol Education Program Adult Treatment Panel III and the pediatric American Heart Association definitions were most analogous in defining subjects as having metabolic syndrome or not.

Entities:  

Keywords:  Insulin resistance; Metabolic criteria; Metabolic risk factors; Youth

Mesh:

Substances:

Year:  2017        PMID: 28058532     DOI: 10.1007/s00431-016-2831-6

Source DB:  PubMed          Journal:  Eur J Pediatr        ISSN: 0340-6199            Impact factor:   3.183


  36 in total

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3.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

4.  Validity of a continuous metabolic risk score as an index for modeling metabolic syndrome in adolescents.

Authors:  Ike S Okosun; Rodney Lyn; Monique Davis-Smith; Michael Eriksen; Paul Seale
Journal:  Ann Epidemiol       Date:  2010-11       Impact factor: 3.797

5.  Ethnic disparities of the metabolic syndrome in population-based samples of german and Iranian adolescents.

Authors:  Peter Schwandt; Roya Kelishadi; Gerda-Maria Haas
Journal:  Metab Syndr Relat Disord       Date:  2010-04       Impact factor: 1.894

6.  Clustering of cardiovascular disease risk factors among obese schoolchildren: the Taipei Children Heart Study.

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Journal:  Am J Clin Nutr       Date:  1998-06       Impact factor: 7.045

7.  Prevalence of risk factors for metabolic syndrome in adolescents: National Health and Nutrition Examination Survey (NHANES), 2001-2006.

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Journal:  Arch Pediatr Adolesc Med       Date:  2009-04

8.  Quality assurance of ethical issues and regulatory aspects relating to good clinical practices in the HELENA Cross-Sectional Study.

Authors:  L Béghin; M Castera; Y Manios; C C Gilbert; M Kersting; S De Henauw; A Kafatos; F Gottrand; D Molnar; M Sjöström; C Leclercq; K Widhalm; M I Mesana; L A Moreno; C Libersa
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9.  Cardiovascular disease risk factors in a population-based sample of Norwegian children and adolescents.

Authors:  Jostein Steene-Johannessen; Elin Kolle; Sigmund Alfred Anderssen; Lars Bo Andersen
Journal:  Scand J Clin Lab Invest       Date:  2009       Impact factor: 1.713

10.  Body mass index reference curves for the UK, 1990.

Authors:  T J Cole; J V Freeman; M A Preece
Journal:  Arch Dis Child       Date:  1995-07       Impact factor: 3.791

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3.  Polyphenol intake and metabolic syndrome risk in European adolescents: the HELENA study.

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5.  Metabolic Syndrome and Prediabetes Among Yemeni School-Aged Children.

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6.  Associations between metabolic syndrome components and markers of inflammation in Welsh school children.

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Journal:  Eur J Pediatr       Date:  2017-12-22       Impact factor: 3.183

7.  Relationship between parental overweight and obesity and childhood metabolic syndrome in their offspring: result from a cross-sectional analysis of parent-offspring trios in China.

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8.  Contribution of insulin resistance to the relationship between sugar-sweetened beverage intake and a constellation of cardiometabolic abnormalities in adolescents.

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9.  Prevalence and Clinical Characteristics of Children and Adolescents with Metabolically Healthy Obesity: Role of Insulin Sensitivity.

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10.  A Multivariate Pattern Analysis of Metabolic Profile in Neurologically Impaired Children and Adolescents.

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