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HOMA Index Calculation Formula

HOMA-IR Formula:

\[ HOMA-IR = \frac{\text{Fasting Insulin} \times \text{Fasting Glucose}}{405} \]

μU/mL
mg/dL

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1. What is the HOMA-IR Formula?

The HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) is a method used to quantify insulin resistance and beta-cell function. It's calculated from fasting insulin and glucose levels, providing a simple assessment of insulin sensitivity.

2. How Does the Calculator Work?

The calculator uses the HOMA-IR formula:

\[ HOMA-IR = \frac{\text{Fasting Insulin} \times \text{Fasting Glucose}}{405} \]

Where:

Explanation: The formula estimates insulin resistance by assessing the relationship between fasting insulin and glucose levels. Higher values indicate greater insulin resistance.

3. Importance of HOMA-IR Calculation

Details: HOMA-IR is widely used in research and clinical practice to identify insulin resistance, which is associated with type 2 diabetes, metabolic syndrome, and cardiovascular disease risk.

4. Using the Calculator

Tips: Enter fasting insulin in μU/mL and fasting glucose in mg/dL. Both values must be valid (greater than 0). For accurate results, measurements should be taken after an overnight fast.

5. Frequently Asked Questions (FAQ)

Q1: What is a normal HOMA-IR value?
A: Typically, values below 2.5 are considered normal, though this may vary by population and laboratory standards.

Q2: How does HOMA-IR relate to diabetes risk?
A: Higher HOMA-IR values indicate greater insulin resistance, which is a major risk factor for developing type 2 diabetes.

Q3: When should insulin and glucose be measured?
A: Both should be measured after an overnight fast (8-12 hours) for accurate results.

Q4: Are there limitations to HOMA-IR?
A: Yes, it's less accurate in people with impaired glucose tolerance or diabetes, and doesn't account for variations in insulin secretion patterns.

Q5: Can HOMA-IR be used for diagnosis?
A: While useful for research and screening, it should not be used alone for clinical diagnosis without additional tests and clinical evaluation.

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