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Journal of Obesity
Volume 2017, Article ID 3793868, 7 pages
https://doi.org/10.1155/2017/3793868
Research Article

Predictors of Insulin Resistance in Children versus Adolescents with Obesity

1Department of Pediatrics, St. Antonius Hospital, Nieuwegein/Utrecht, Postbus 2500, 3430 EM Nieuwegein, Netherlands
2Department of Clinical Pharmacy, St. Antonius Hospital, Nieuwegein/Utrecht, Postbus 2500, 3430 EM Nieuwegein, Netherlands

Correspondence should be addressed to Marja M. J. van der Vorst; ln.siuhnekeizsuinotna@tsrov.red.nav.m

Received 5 April 2017; Revised 10 August 2017; Accepted 24 October 2017; Published 10 December 2017

Academic Editor: David H. St-Pierre

Copyright © 2017 Yvette E. Lentferink et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Introduction. Obesity is a risk factor to develop metabolic syndrome (MetS) and type 2 diabetes mellitus (T2DM). Insulin resistance (IR) plays a major part in both. With increasing incidence of childhood obesity, this retrospective study aimed to identify predictors of IR in children/adolescents with obesity to optimize screening for IR. Method. Patients aged ≥ 2–≤ 18 years with obesity (BMI-SDS > 2.3) were included. IR was defined as HOMA-IR ≥ 3.4, and MetS if ≥3 of the following criteria were present: waist circumference and blood pressure ≥ 95th age percentile, triglycerides ≥ 1.7 mmol/l, HDL < 1.03 mmol/l, and fasting plasma glucose ≥ 5.6 mmol/l. Results. In total, 777 patients were included. Of the 306 children, 51, 38, and 0 were diagnosed with IR, MetS, and T2DM, respectively. Of the 471 adolescents, 223, 95, and 0 were diagnosed with IR, MetS, and T2DM, respectively. In the multivariable regression model, BMI-SDS, preterm birth, and Tanner stage were associated with IR in children (6.3 (95% CI 1.3–31.1), 5.4 (95% CI 1.4–20.5), 2.2 (95% CI 1.0–4.8)), and BMI-SDS and waist circumference in adolescents (4.0 (95% CI 1.7–9.2), 3.7 (95% CI 1.5–9.4)). Conclusion. Different IR predictors were observed in children/adolescents with obesity. These predictors can be used to optimize screening for IR in pediatric populations.