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Updated: Jul 9, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
IGF-1 Levels are Dependent on Age, but Not Weight Status in Children
Mihai Octavian Negrea1,2, Bogdan Neamtu1,3, Raluca Costea3
1Faculty of Medicine, Lucian Blaga University, 550024 Sibiu, Romania.
Insights
This study found no direct link between Insulin-like Growth Factor 1 (IGF-1) levels and weight status in children when accounting for age. IGF-1 levels naturally vary with age, impacting growth and metabolism.
Area of Science:
- Pediatric Endocrinology
- Metabolic Health
- Growth Hormone Axis
Background:
- Obesity in children is linked to metabolic dysregulation, involving growth, glucose, and lipid metabolism.
- The growth hormone/insulin growth factor 1 (GH/IGF-1) axis is implicated, with IGF-1 levels correlating to insulin resistance.
Abstract:
Introduction: The intersecting pathways involved in linear growth, glucose, and lipid metabolism may play a key part in the imbalances leading to the dysmetabolic changes observed in obese children, and later adults. The growth-hormone/insulin growth factor 1 (GH/IGF-1) axis is a prime example in this regard and IGF-1 levels have been shown to correlate with insulin resistance. Objectives: The aim of this study is to examine whether there is a relationship between circulating IGF levels and weight status in children as an independent relationship, regardless of insulin sensitivity. Materials and method: We retrospectively collected data from patients aged 5-12 years referred to the Pediatric Clinical Hospital Sibiu between January 2010 and May 2023, for which IGF-1 levels were documented. We excluded patients with pathologies or medication which could have influenced weight status, glucose and lipid metabolism, or growth hormone secretion, and those with short stature or a growth velocity of under 5 cm a year. Anthropometric measurements were retrieved and BMI Z-score was calculated. Results: Our study included 66 patients (32 females and 34 males) with a mean age of 100,09 months (SD: 24,754 months). Initial bivariate analysis showed a significant negative correlation between BMI Z-score and IGF-1 values. However, adjusting for age indicated that there was in fact no significant relationship between these two parameters. Insulin-like growth factor 1 levels did however vary significantly with patient age. Conclusions: Levels of IGF-1 showed an age-dependent variation which should be accounted for in data analysis. Our study found no correlation between weight status and IGF-1 levels when adjusting for age-dependent variation. Further studies may shed light on the possible role of IGF-1 in discerning between obese children with or without increased insulin resistance.
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