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Metabolic risk-factor clustering estimation in children: to draw a line across pediatric metabolic syndrome.
- Source :
-
International journal of obesity (2005) [Int J Obes (Lond)] 2007 Apr; Vol. 31 (4), pp. 591-600. - Publication Year :
- 2007
-
Abstract
- Background: The diagnostic criteria of the metabolic syndrome (MS) have been applied in studies of obese adults to estimate the metabolic risk-associated with obesity, even though no general consensus exists concerning its definition and clinical value. We reviewed the current literature on the MS, focusing on those studies that used the MS diagnostic criteria to analyze children, and we observed extreme heterogeneity for the sets of variables and cutoff values chosen.<br />Objectives: To discuss concerns regarding the use of the existing definition of the MS (as defined in adults) in children and adolescents, analyzing the scientific evidence needed to detect a clustering of cardiovascular risk-factors. Finally, we propose a new methodological approach for estimating metabolic risk-factor clustering in children and adolescents.<br />Results: Major concerns were the lack of information on the background derived from a child's family and personal history; the lack of consensus on insulin levels, lipid parameters, markers of inflammation or steato-hepatitis; the lack of an additive relevant effect of the MS definition to obesity per se. We propose the adoption of 10 evidence-based items from which to quantify metabolic risk-factor clustering, collected in a multilevel Metabolic Individual Risk-factor And CLustering Estimation (MIRACLE) approach, and thus avoiding the use of the current MS term in children.<br />Conclusion: Pediatricians should consider a novel and specific approach to assessing children/adolescents and should not simply derive or adapt definitions from adults. Evaluation of insulin and lipid levels should be included only when specific references for the relation of age, gender, pubertal status and ethnic origin to health risk become available. This new approach could be useful for improving the overall quality of patient evaluation and for optimizing the use of the limited resources available facing to the obesity epidemic.
- Subjects :
- Adolescent
Biomarkers blood
Body Mass Index
Cardiovascular Diseases complications
Cardiovascular Diseases metabolism
Child
Cluster Analysis
Evidence-Based Medicine
Glucose metabolism
Humans
Insulin metabolism
Insulin Resistance
Lipids blood
Metabolic Syndrome complications
Metabolic Syndrome metabolism
Obesity metabolism
Risk Factors
Metabolic Syndrome diagnosis
Obesity complications
Subjects
Details
- Language :
- English
- ISSN :
- 0307-0565
- Volume :
- 31
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- International journal of obesity (2005)
- Publication Type :
- Academic Journal
- Accession number :
- 17384660
- Full Text :
- https://doi.org/10.1038/sj.ijo.0803581