Instability in the Diagnosis of Metabolic Syndrome in Adolescents

Author:

Goodman Elizabeth1,Daniels Stephen R.1,Meigs James B.1,Dolan Lawrence M.1

Affiliation:

1. From the Floating Hospital for Children at Tufts–New England Medical Center, Boston, Mass (E.G.); Department of Pediatrics, Denver Children’s Hospital, and University of Colorado School of Medicine, Denver (S.R.D.); Department of Medicine, General Medicine Division, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (J.B.M.); and Division of Endocrinology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio (L.M.D.).

Abstract

Background— Factor analyses suggest that the structure underlying metabolic syndrome is similar in adolescents and adults. However, adolescence is a period of intense physiological change, and therefore stability of the underlying metabolic structure and clinical categorization based on metabolic risk is uncertain. Methods and Results— We analyzed data from 1098 participants in the Princeton School District Study, a school-based study begun in 2001–2002, who were followed up for 3 years. We performed factor analyses of 8 metabolic risks at baseline and follow-up to assess stability of factor patterns and clinical categorization of metabolic syndrome. Metabolic syndrome was defined using the current American Heart Association/National Heart, Lung, and Blood Institute definition for adults (AHA), a modified AHA definition used in prior pediatric metabolic syndrome studies (pediatric AHA), and the International Diabetes Federation (IDF) guidelines. We found that factor structures were essentially identical at both time points. However, clinical categorization was not stable. Approximately half of adolescents with baseline metabolic syndrome lost the diagnosis at follow-up regardless of the definitions used: pediatric AHA=56% (95% confidence interval [CI], 42% to 69%), AHA=49% (95% CI, 32% to 66%), IDF=53% (95% CI, 38% to 68%). In addition to loss of the diagnosis, new cases were identified. Cumulative incidence rates were as follows: pediatric AHA=3.8% (95% CI, 2.8% to 5.2%); AHA=4.4% (95% CI, 3.3% to 5.9%); IDF=5.2% (95% CI, 4.0% to 6.8%). Conclusions— During adolescence, metabolic risk factor clustering is consistent. However, marked instability exists in the categorical diagnosis of metabolic syndrome. This instability, which includes both gain and loss of the diagnosis, suggests that the syndrome has reduced clinical utility in adolescence and that metabolic syndrome–specific pharmacotherapy for youth may be premature.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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