Relationship between insulin-like growth factor-1, insulin resistance and metabolic profile with pre-obesity and obesity in children
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Updated: Nov 16, 2025

Study of In Vivo Glucose Metabolism in High-fat Diet-fed Mice Using Oral Glucose Tolerance Test OGTT and Insulin Tolerance Test ITT
Published on: January 7, 2018
Marina Jaksic1,2, Milica Martinovic2, Najdana Gligorovic-Barhanovic3
1Center for Laboratory Diagnostics, Clinical Center of Montenegro, Institute for Children's Diseases, Podgorica, Montenegro.
Insights
Elevated insulin-like growth factor-1 standard deviation score (IGF-1 SDS) and total body fat (TBF) predict childhood obesity. These findings highlight IGF-1
Area of Science:
- Pediatric Endocrinology
- Metabolic Health
- Obesity Research
Background:
- Childhood obesity is a global health concern with complex etiological factors.
- The precise role of insulin-like growth factor-1 (IGF-1) in pediatric obesity remains debated.
- Understanding metabolic profiles associated with obesity is crucial for effective intervention.
Purpose of the Study:
- To investigate the relationship between IGF-1, insulin resistance (IR), and metabolic markers in pre-obese and obese children.
- To identify predictors of nutritional status and insulin resistance in pediatric populations.
- To elucidate the role of IGF-1 in the pathophysiology of childhood obesity.
Main Methods:
- A cross-sectional study involving 201 children aged 7-15 years, categorized into normal-weight, pre-obese, and obese groups.
- Analysis of serum IGF-1, insulin, fasting blood glucose (FBG), lipid profiles, ALT, and uric acid (UA).
- Calculation of IGF-1 standard deviation score (SDS), HOMA-IR, and anthropometric/body composition parameters including waist-to-height ratio (WtHR) and total body fat (TBF).
Main Results:
- Pre-obese and obese children exhibited significantly higher IGF-1 SDS, FBG, insulin, HOMA-IR, UA, ALT, and triglycerides, with lower HDL-c compared to normal-weight children.
- Obese children had increased WtHR and LDL-c.
- IGF-1 SDS was positively correlated with fat-free mass and total body water, and negatively with LDL-c in obese children. HOMA-IR and insulin correlated positively with age and TBF, and negatively with HDL-c in pre-obese/obese children.
- Multivariate analyses identified IGF-1 SDS and TBF as significant predictors of nutritional status, while FBG and UA predicted insulin resistance.
Conclusions:
- IGF-1 SDS and TBF are significant predictors of nutritional status in children.
- FBG and UA are identified as predictors of insulin resistance.
- Further research is warranted to fully understand IGF-1's role in obesity and its associated comorbidities.
Objectives:
Childhood obesity is a serious medical condition with alarmingly high rates worldwide. There is controversy regarding the relationship between insulin-like growth factor-1 (IGF-1) and pediatric obesity. We investigated the relationship between IGF-1, insulin resistance and metabolic profile with childhood pre-obesity/obesity.
Methods:
The study involved 201 children aged 7-15 years, divided in three groups according to their nutritional status (International Obesity Task Force criteria): normal-weight (n=84), pre-obese (n=82), obese (n=35). Laboratory IGF-1, insulin, fasting blood glucose (FBG), lipid profile, alanine-aminotransferase (ALT), uric acid (UA), anthropometric and body composition parameters were analyzed. Body mass index and IGF-1 standard deviation score (SDS), waist-to-height ratio (WtHR) and Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) score were calculated.
Results:
Pre-obese/obese children had significantly higher IGF-1 SDS, FBG, insulin, HOMA-IR, UA, ALT, triglycerides, and lower high-density lipoprotein cholesterol (HDL-c); obese group had higher WtHR and low-density lipoprotein cholesterol (LDL-c) compared to controls (p<0.05). In obese group, IGF-1 SDS was positively correlated with fat free/muscle mass, total body water (p<0.05) and negatively correlated with LDL-c (p<0.05). In pre-obese/obese HOMA-IR and insulin were positively correlated with age, total body fat (TBF) (p<0.05) and negatively correlated with HDL-c (pre-obese) (p<0.05). Multivariate ordinal logistic regression analyses showed that IGF-1 SDS (OR=1.94; 95%CI: 1.21-3.11), TBF (OR=1.37; 95%CI: 1.21-1.54) were predictors of nutritional status (p<0.001). FBG (OR=42.39; 95%CI: 2.31-77.2) and UA (OR=1.03; 95%CI: 1.01-1.05) were predictors of IR (p<0.001).
Conclusions:
IGF-1 SDS and TBF were predictors of nutritional status. Further studies are required to clarify the role of IGF-1 in pathophysiology of obesity and its comorbidities.
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