BMC Endocrine Disorders (Apr 2025)

The correlation between insulin-like growth factor 1 and left ventricular mass index in obese children

  • Wanxia Niu,
  • Chen Li,
  • Zhaorui Wang,
  • Shuang Liang

DOI
https://doi.org/10.1186/s12902-025-01921-4
Journal volume & issue
Vol. 25, no. 1
pp. 1 – 8

Abstract

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Abstract Objective Low levels of Insulin-like Growth Factor 1 (IGF-1) are known risk factors for cardiovascular diseases. Left Ventricular Mass Index (LVMI) serves as an early predictor of adverse cardiovascular events. Obese children have relatively low concentrations of IGF-1 in their blood. To date, there is no research on whether there is a correlation between IGF-1 levels and LVMI in obese children. This study aims to investigate the potential correlation between IGF-1 and LVMI in obese children at a single center. Methods A total of 104 obese children were selected as the case group, while 61 healthy children undergoing physical examinations served as the normal control group. Anthropometric measurements, assessments of IGF-1, and cardiovascular metabolic factors were conducted. Echocardiographic examinations were also performed to calculate the LVMI. Results Compared to the control group, the obese group had significantly higher LVMI and significantly lower standard deviation scores for Insulin-like Growth Factor 1 (IGF-1 SDS). After controlling for confounding factors including total cholesterol (TC), triglycerides (TG), and uric acid (UA), there was a significant linear negative correlation between IGF-1 SDS and LVMI, and a significant linear positive correlation between homeostasis model of assessment for insulin resistance (HOMA-IR) and LVMI. Each unit increase in IGF-1 SDS resulted in a 16.1% decrease in LVMI (β = -0.161; p = 0.046), and each unit increase in HOMA-IR resulted in a 24.1% increase in LVMI (β = 0.241; p = 0.007). Conclusion IGF-1 and LVMI exhibit an independent negative correlation. Monitoring IGF-1 levels might provide valuable insights into the cardiovascular health of obese children, facilitating early identification and management of cardiovascular risk factors. Clinical trial number Not applicable.

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