Prevalence of IR in Overweight and Obese Adolescents
- Conditions
- Insulin Resistance
- Interventions
- Diagnostic Test: Blood Tests; Serum Fasting Insulin and Glucose
- Registration Number
- NCT05810883
- Lead Sponsor
- Assiut University
- Brief Summary
The aim of this study is to determine the prevalence of Insulin Resistance (IR) among overweight and obese adolescents using HOMA-IR scores and identify lifestyle risk factors in the IR and Non-IR group.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 50
- Adolescents of ages ≥ 10-≤18 years, of both sexes who are Overweight (BMI > 85th percentile) or Obese (BMI > 95th percentile).
- Obesity due to Secondary causes as Cushing disease or hypothyroid patients, and any other patients with Chronic illness.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Non-Insulin Resistant Blood Tests; Serum Fasting Insulin and Glucose HOMA-IR score of less than 3.4 Insulin Resistant Group Blood Tests; Serum Fasting Insulin and Glucose HOMA-IR score of ≥ 3.4
- Primary Outcome Measures
Name Time Method Number of participants of the Obese or Overweight category with elevated Serum Fasting Insulin and Serum Fasting glucose scores Baseline Measuring Serum Fasting Insulin and Fasting Glucose levels to calculate HOMA-IR scores Insulin Resistance will be calculated using Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) (Fasting Plasma Glucose (mmol/L) × Fasting Plasma Insulin (mU/L)/22.5) and defined as HOMA-IR ≥ 3.4 to Detect Prevalence of IR, higher scores indicating increased Insulin Resistance.
- Secondary Outcome Measures
Name Time Method Identifying Risk Factors for Insulin Resistance in each group Baseline Information on each individual gathered regarding Lifestyle and Nutritional Habits including Social/Economic condition, Family History for obesity, diabetes and hypertension, perinatal history, early feeding and detailed Nutritional History; including sugar, carbohydrate and fat consumption, Physical activity, sleep quality, psychological stressors and performance at school. Data will be gathered for each group; Insulin Resistant and Non-Insulin resistance to determine associations between the two.