Identification of Genetic and Environmental Factors Predicting Metabolically Healthy Obesity in Children: Data From

Lujiao Li1, Jinhua Yin1, Hong Cheng1

  • 1Department of Endocrinology (L.L., J.Y., Y.W., Ming.L.), Key Laboratory of Endocrinology, National Health and Family Planning Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, People's Republic of China; Department of Epidemiology (H.C., J.M.), Capital Institute of Paediatrics, Beijing 10020, People's Republic of China; Department of Endocrinology (S.G.), Chaoyang Hospital, Capital Medical University, Beijing 100043, China; and Department of Biostatistics and Epidemiology (Mingy.L.), Division of Endocrinology (S.F.A.G., Ming.L.), The Children's Hospital of Philadelphia, Perelman School of Medicine, Division of Human Genetics, (S.F.A.G.), The Children's Hospital of Philadelphia Research Institute, Department of Pediatrics (S.F.A.G.), Perelman School of Medicine, University of Pennsylvania; Philadelphia, Pennsylvania 19104.

Insights

Approximately one-third of obese Chinese children are metabolically healthy obese (MHO). Both genetic and environmental factors, along with their interactions, predict MHO status in pediatric populations.

Area of Science:

  • Pediatric Endocrinology
  • Obesity Research
  • Metabolic Health

Background:

  • Limited data exist on metabolically healthy obesity (MHO) in children.
  • Understanding MHO in pediatric populations is crucial for early intervention.

Purpose of the Study:

  • To determine the prevalence of MHO in Chinese children.
  • To investigate environmental and genetic factors influencing MHO status.

Main Methods:

  • Cross-sectional study of 1213 obese children (aged 6-18 years).
  • MHO classification based on insulin resistance or cardiometabolic risk factors.
  • Assessment of 22 genetic variants, lifestyle, socioeconomic status, and birth weight.

Main Results:

  • Prevalence of MHO with insulin resistance (MHO-IR) was 27.1%; MHO with cardiometabolic risk (MHO-CR) was 37.2%.
  • Waist circumference, walking to school, and KCNQ1-rs2237897 were significant predictors.
  • Acanthosis nigricans, birth weight, soft drink consumption, maternal education, and KCNQ1-rs2237892 also predicted MHO-IR, with significant interactions observed.

Conclusions:

  • About one-third of obese Chinese children exhibit MHO.
  • Genetic predisposition and environmental factors interact to influence MHO status.
  • Findings offer insights into obesity heterogeneity and potential optimization of pediatric obesity interventions.
Abstract

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