Insulin Resistance
Conditions
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.
Interventions
DIAGNOSTIC_TESTBlood Tests; Serum Fasting Insulin and Glucose
Laboratory results of blood samples, for high-density lipoprotein (HDL), low-density protein (LDL), triglycerides, and total cholesterol (TC) will be evaluated for this study. Fasting Insulin and fasting glucose levels will be used to calculate IR. Insulin Resistance will be calculated using Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) (FPG (mmol/L) × FPI (mU/L)/22.5) \[21\] and defined as HOMA-IR ≥ 3.4
Sponsors
Assiut University
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
10 Years to 18 Years
Healthy volunteers
Yes
Inclusion criteria
* Adolescents of ages ≥ 10-≤18 years, of both sexes who are Overweight (BMI \> 85th percentile) or Obese (BMI \> 95th percentile).
Exclusion criteria
* Obesity due to Secondary causes as Cushing disease or hypothyroid patients, and any other patients with Chronic illness.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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
| Measure | Time frame | Description |
|---|---|---|
| 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. |
Contacts
Primary ContactYara Mostafa, MBBS
Outcome results
None listed