Metabolically healthy obesity in a paediatric obesity clinic

J Pediatr Endocrinol Metab. 2022 Aug 22;35(9):1147-1153. doi: 10.1515/jpem-2022-0086. Print 2022 Sep 27.

Abstract

Objectives: Metabolically healthy obese (MHO) children is a described subgroup of obese children who do not exhibit traditional cardiometabolic risk factors. The aim of this study was to determine the prevalence and characterize patients with this phenotype.

Methods: Cross-sectional study, performed in a paediatric obesity clinic (tertiary university hospital) in 2019. Children were classified with "MHO" or "metabolically unhealthy obesity" according to the criteria proposed by Damanhoury based on HDL, triglycerides, systolic and diastolic blood pressure (DBP) and fasting glucose values.

Results: 241 participants were included, with ages between two and 17 years. The prevalence of the MHO phenotype was 61.8%. The body mass index (Z-score) in children aged five years or older was significantly lower in those with MHO (p=0.040). In the MHO group, mean total cholesterol levels were higher (p<0.001), due to the high value of HDL (p<0.001); triglyceride levels (p<0.001), systolic blood pressure (SBP) (p=0.036), DBP (p=0.029) and the homeostasis model assessment - insulin resistance (HOMA-IR) index (p=0.001) were significantly lower. HDL (OR=1.421; 95% CI 1.279-1.579; p<0.001) and SBP (OR=0.943; 95% CI 0.903-0.985; p=0.008) were the only independent predictors for the development of MHO.

Conclusions: Almost two-thirds of the participants had an MHO phenotype. The high and low values of HDL and SBP, respectively, were the only variables that proved to be predictors of MHO.

Keywords: HDL; blood pressure; cholesterol; metabolic syndrome; pediatric obesity.

MeSH terms

  • Body Mass Index
  • Child
  • Cross-Sectional Studies
  • Humans
  • Insulin Resistance*
  • Metabolic Syndrome* / epidemiology
  • Metabolic Syndrome* / etiology
  • Obesity, Metabolically Benign* / epidemiology
  • Pediatric Obesity* / complications
  • Pediatric Obesity* / epidemiology
  • Risk Factors