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Predicted 6 Minute Walk Distance Calculator

Enright Equation:

\[ \text{Predicted Distance} = 7.57 \times \text{Height (cm)} - 5.02 \times \text{Age} - 1.76 \times \text{Weight (kg)} - 309 \text{ (men)} \]

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1. What is the Enright Equation?

The Enright equation predicts the expected 6-minute walk distance for adults based on height, age, weight, and gender. It's widely used in clinical practice to assess functional capacity and cardiopulmonary fitness.

2. How Does the Calculator Work?

The calculator uses the Enright equation:

\[ \text{Predicted Distance} = 7.57 \times \text{Height (cm)} - 5.02 \times \text{Age} - 1.76 \times \text{Weight (kg)} - 309 \text{ (men)} \]

Where:

Explanation: The equation accounts for the physiological factors that influence walking capacity, with taller individuals typically achieving greater distances, while increasing age and weight tend to reduce performance.

3. Importance of 6 Minute Walk Test

Details: The 6-minute walk test is a simple, inexpensive measure of functional exercise capacity. It's used to monitor disease progression, assess treatment effectiveness, and evaluate overall functional status in various clinical conditions.

4. Using the Calculator

Tips: Enter accurate height in centimeters, age in years, weight in kilograms, and select gender. All values must be valid positive numbers for accurate prediction.

5. Frequently Asked Questions (FAQ)

Q1: What is a normal 6-minute walk distance?
A: Normal values vary by age, gender, and physical condition. Generally, healthy adults walk 400-700 meters, with predicted values providing individual benchmarks.

Q2: Why is the equation different for women?
A: Women typically have shorter predicted distances due to physiological differences in muscle mass, height, and other factors affecting walking capacity.

Q3: When is the 6-minute walk test used clinically?
A: It's commonly used in pulmonary, cardiac, and geriatric assessments, as well as in rehabilitation settings to monitor functional improvement.

Q4: What factors can affect actual test performance?
A: Motivation, practice effect, comorbidities, medications, environmental conditions, and test instructions can all influence actual performance.

Q5: How accurate is the predicted distance?
A: The prediction provides a reference value. Individual performance may vary by ±10-15% based on fitness level, health status, and other individual factors.

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