How Does Weight Machine Calculate Body Fat

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How Does a Weight Machine Calculate Body Fat?

Understand the science behind body fat measurement on weight machines and calculate your estimated body fat percentage.

Body Fat Percentage Calculator (BIA Method)

This calculator estimates body fat percentage using a simplified Bioelectrical Impedance Analysis (BIA) model. For more accurate results, consider professional methods.

Use kilograms (kg) or pounds (lbs).
Use centimeters (cm) or inches (in).
Male Female
Select your biological sex.
Use years.
Sedentary (little to no exercise) Lightly Active (light exercise/sports 1-3 days/week) Moderately Active (moderate exercise/sports 3-5 days/week) Very Active (hard exercise/sports 6-7 days a week) Extra Active (very hard exercise/sports & physical job)
Select your typical weekly activity.

Your Estimated Results

Estimated Body Fat Percentage: –%
Lean Body Mass:
Fat Mass:
Basal Metabolic Rate (BMR): — kcal
Formula Overview: Weight machines often use Bioelectrical Impedance Analysis (BIA). A low electrical current passes through the body. Fat resists this current more than muscle and water. By measuring this resistance (impedance), along with user-provided data like weight, height, age, gender, and activity level, algorithms estimate body fat percentage.

Body Fat Percentage vs. Lean Body Mass

Visualizing the relationship between your estimated body fat and lean body mass.
Factors Influencing BIA Calculations
Factor Description Impact on Impedance Typical Range (User Input)
Body Weight Total mass of the body. Higher weight can increase impedance if fat mass increases proportionally. e.g., 50-150 kg / 110-330 lbs
Height Determines body proportions. Taller individuals generally have higher impedance. e.g., 150-200 cm / 59-79 in
Gender Biological sex affects body composition. Males typically have lower impedance for a given weight/height due to higher muscle mass. Male / Female
Age Body composition changes with age. Impedance can change due to bone density and muscle mass shifts. e.g., 18-80 years
Hydration Level Water conducts electricity well. Dehydration increases resistance (higher impedance), potentially overestimating body fat. N/A (Internal factor, but affected by diet/activity)
Activity Level Affects muscle mass and hydration. Higher activity typically means more muscle, impacting BIA results. Sedentary to Extra Active

What is Body Fat Percentage?

Body fat percentage refers to the total weight of fat in your body divided by your total body weight, expressed as a percentage. It's a crucial health metric that goes beyond simple weight, providing insight into your body composition. Understanding your body fat percentage helps you gauge your fitness level, assess health risks associated with excess body fat (like cardiovascular disease, type 2 diabetes, and certain cancers), and set realistic fitness goals. It's important to distinguish between essential fat (needed for bodily functions) and storage fat (accumulated energy reserves).

Who should track body fat percentage? Anyone interested in improving their overall health, athletes looking to optimize performance, individuals aiming for weight loss or muscle gain, and those managing chronic health conditions influenced by body composition. It offers a more nuanced view of progress than the scale alone.

Common misconceptions about body fat calculation: A prevalent myth is that simple weighing scales accurately measure body fat. While many scales claim to do so using BIA, their accuracy can vary significantly. Another misconception is that a low number on the scale always means less body fat; sometimes, weight loss can be muscle mass, which is detrimental to health and metabolism. Lastly, there's no single "perfect" body fat percentage – what's healthy varies by age, sex, and individual goals. Focusing solely on achieving the lowest possible percentage can be counterproductive.

How Does a Weight Machine Calculate Body Fat? Formula and Mathematical Explanation

The most common technology employed by home and gym weight machines to estimate body fat percentage is Bioelectrical Impedance Analysis (BIA). This method relies on the principle that different body tissues have varying electrical conductivity. Fat tissue contains less water and is therefore a poorer conductor of electricity (higher impedance) compared to lean tissue (muscle, bone, water), which is rich in electrolytes and water, and thus a good conductor (lower impedance).

Here's a simplified breakdown of the process and underlying principles:

  1. Electrical Current: The weight machine sends a very low-amplitude, high-frequency electrical current through your body, typically via electrodes on the scale's surface that your feet touch.
  2. Measuring Impedance: As the current travels through your body, the machine measures the resistance (impedance) it encounters. This impedance is primarily influenced by the amount of water in your tissues.
  3. Using an Algorithm: The raw impedance measurement is then fed into a proprietary algorithm. This algorithm also requires user-entered data to refine the estimation. Standard inputs typically include:
    • Body Weight
    • Height
    • Gender
    • Age
    • Activity Level (sometimes)
  4. Estimating Body Composition: Based on the impedance and the user data, the algorithm estimates the proportion of fat mass versus lean body mass. Lean body mass includes muscle, bone, water, and organs, all of which have higher water content and lower impedance than fat.
  5. Calculating Body Fat Percentage: The formula derived from the algorithm then calculates the body fat percentage using these estimations. A common simplification of the relationship is:
    Body Fat % = (Fat Mass / Total Body Weight) * 100
    Where Fat Mass is further derived from impedance and user inputs.

Mathematical Derivation (Simplified Example):

While the exact algorithms are proprietary and complex, a foundational equation often involves relating impedance (Z) to body composition. A basic model might look conceptually like this:

Lean Body Mass (LBM) Estimation:
LBM ≈ (Height² / Resistance) * K1 + K2
(Where Resistance is derived from impedance, and K1, K2 are constants derived from regression analysis based on gender, age, etc.)

Fat Mass (FM) Calculation:
FM = Total Body Weight – LBM

Body Fat Percentage (%BF):
%BF = (FM / Total Body Weight) * 100

The constants (K1, K2) and the precise formula for Resistance from Impedance are adjusted based on gender, age, and activity level to account for typical differences in body composition and hydration.

Variables Table

Variable Meaning Unit Typical Range
Body Weight (W) Total mass of the individual. Kilograms (kg) or Pounds (lbs) 50 – 150 kg / 110 – 330 lbs
Height (H) The vertical measurement from the base to the top of the head. Centimeters (cm) or Inches (in) 150 – 200 cm / 59 – 79 in
Gender (G) Biological sex, influencing muscle mass and fat distribution. Categorical (Male/Female) Male, Female
Age (A) Number of years since birth. Years 18 – 80 years
Impedance (Z) Electrical resistance measured by the device. Ohms (Ω) Varies widely based on other factors (e.g., 400 – 900 Ω)
Lean Body Mass (LBM) Weight of everything in the body except fat (muscle, bone, water, organs). Kilograms (kg) or Pounds (lbs) Calculated value, typically 60-90% of total weight
Fat Mass (FM) Weight of the body's fat tissue. Kilograms (kg) or Pounds (lbs) Calculated value, typically 10-40% of total weight
Body Fat Percentage (%BF) Proportion of body fat relative to total body weight. Percentage (%) Calculated value, typically 10-40%
Basal Metabolic Rate (BMR) Calories burned at rest to maintain basic bodily functions. Kilocalories (kcal) Calculated value, typically 1200-2500 kcal

Practical Examples (Real-World Use Cases)

Let's see how the calculator might work for different individuals:

Example 1: A Moderately Active Man

  • Inputs:
    • Weight: 85 kg
    • Height: 180 cm
    • Gender: Male
    • Age: 35 years
    • Activity Level: Moderately Active
  • Calculation: The calculator uses these inputs along with the BIA impedance measurement (which would be taken by the machine). Assuming a hypothetical impedance of 550 Ω, the algorithm processes this data.
  • Estimated Results:
    • Estimated Body Fat Percentage: 22.5%
    • Lean Body Mass: 65.88 kg
    • Fat Mass: 19.12 kg
    • BMR: 1750 kcal
  • Interpretation: For a 35-year-old male, 22.5% body fat is within the acceptable to fitness range, indicating a reasonable balance of muscle and fat. The BMR suggests his body burns around 1750 calories at rest.

Example 2: A Sedentary Woman Aiming for Weight Loss

  • Inputs:
    • Weight: 70 kg
    • Height: 165 cm
    • Gender: Female
    • Age: 45 years
    • Activity Level: Sedentary
  • Calculation: With these inputs and a hypothetical impedance of 720 Ω (higher for females at similar weight/height due to expected lower muscle mass), the algorithm provides an estimate.
  • Estimated Results:
    • Estimated Body Fat Percentage: 35.2%
    • Lean Body Mass: 45.36 kg
    • Fat Mass: 24.64 kg
    • BMR: 1280 kcal
  • Interpretation: A body fat percentage of 35.2% for a 45-year-old female is in the "overweight" or "obese" category. The results highlight that a significant portion of her weight is fat mass. This data can motivate her to focus on reducing body fat through a combination of diet and exercise, aiming to increase lean body mass and lower her overall body fat percentage. Her BMR of 1280 kcal indicates a lower resting calorie burn, requiring careful attention to calorie intake during weight management.

How to Use This Body Fat Percentage Calculator

Using this calculator is straightforward and can provide valuable insights into your body composition. Follow these steps:

  1. Step 1: Gather Your Measurements.
    • Body Weight: Weigh yourself accurately, preferably at the same time of day (e.g., morning after using the restroom, before eating). Ensure you know whether you are using kilograms (kg) or pounds (lbs).
    • Height: Measure your height in centimeters (cm) or inches (in).
    • Age: Your current age in years.
  2. Step 2: Select Your Gender and Activity Level.
    • Choose your biological gender (Male/Female) as this significantly impacts body composition.
    • Select your typical weekly activity level from the dropdown menu, ranging from Sedentary to Extra Active. Be honest for the most accurate estimation.
  3. Step 3: Enter Data into the Calculator. Input your gathered weight, height, age, and select your gender and activity level into the respective fields in the calculator section. Ensure you use consistent units (e.g., all metric or all imperial).
  4. Step 4: Click "Calculate Body Fat". The calculator will process your inputs and display your estimated Body Fat Percentage, Lean Body Mass, Fat Mass, and Basal Metabolic Rate (BMR).
  5. Step 5: Understand the Results.
    • Main Result (Body Fat Percentage): This is the primary output. Compare it to general health guidelines for your age and gender.
    • Lean Body Mass: This is the weight of everything that isn't fat. Increasing LBM is often a key fitness goal.
    • Fat Mass: This is the absolute weight of fat in your body.
    • BMR: Your estimated resting calorie burn.
  6. Step 6: Use the "Copy Results" Button. If you want to save or share your findings, click "Copy Results." This will copy the main result, intermediate values, and key assumptions to your clipboard.
  7. Step 7: Use the "Reset" Button. To clear all fields and start over, click "Reset." It will restore sensible default values.

Decision-Making Guidance: Use these results as a benchmark. If your body fat percentage is higher than recommended for your health profile, consider setting goals for gradual reduction through balanced diet and regular exercise. If your body fat is low and you're aiming for performance, focus on maintaining or increasing lean body mass. Remember, consistency in tracking and lifestyle changes is key.

Key Factors That Affect Body Fat Calculation Results

While BIA is a convenient method, several factors can influence the accuracy of the results produced by weight machines. Understanding these can help you interpret your readings:

  1. Hydration Levels: This is perhaps the most significant factor. Water conducts electricity well. If you are dehydrated, your body's impedance will be higher, potentially leading the machine to overestimate your body fat percentage. Conversely, being overhydrated can lead to an underestimation. Avoid using the scale after intense exercise (sweating) or heavy alcohol consumption.
  2. Recent Food Intake: Eating a large meal can temporarily increase body water and alter impedance. It's best to measure body fat in a consistent, fasted state, ideally several hours after your last meal.
  3. Body Temperature: Skin temperature can affect conductivity. Cold skin may show higher resistance.
  4. Menstrual Cycle (for Women): Hormonal fluctuations during the menstrual cycle can cause water retention, affecting hydration levels and thus BIA readings. Readings may be slightly higher during certain phases of the cycle.
  5. Time of Day: Throughout the day, hydration levels and body weight can fluctuate slightly due to fluid intake, food consumption, and physical activity. Measuring at the same time each day promotes consistency.
  6. Placement of Feet on Electrodes: For multi-electrode devices, ensuring consistent contact is crucial. For basic scales, the current primarily travels through the lower body, which might not perfectly represent upper body composition.
  7. Algorithm Specifics: Each manufacturer uses its own proprietary algorithm, often based on studies of specific populations. This means results can vary between different brands and models of weight machines.
  8. Underlying Health Conditions: Certain conditions affecting fluid balance or body composition (e.g., kidney disease, edema) can significantly skew BIA results.

Frequently Asked Questions (FAQ)

Q1: Are body fat scales accurate?

Body fat scales using BIA are generally considered less accurate than clinical methods like DEXA scans or hydrostatic weighing. They provide an estimate that can be useful for tracking trends over time under consistent conditions, but absolute values may have a margin of error. Accuracy can vary significantly between devices and individuals.

Q2: How often should I measure my body fat percentage?

For tracking progress, measuring once a week or once every two weeks under the same conditions (e.g., same time of day, same hydration level) is recommended. Avoid frequent measurements, as daily fluctuations can be misleading.

Q3: Can I use the calculator if I am pregnant?

No, this calculator and BIA technology are not suitable for use during pregnancy due to significant physiological changes affecting body composition and hydration.

Q4: What is a healthy body fat percentage?

Healthy ranges vary by age and sex. Generally, for adult men, 15-20% is considered average fitness, while for adult women, 20-25% is average. Athletes may have lower percentages. Obesity is typically defined as over 25% for men and over 32% for women. Consult with a healthcare professional for personalized advice.

Q5: What's the difference between Fat Mass and Body Fat Percentage?

Fat Mass is the actual weight of fat in your body (e.g., 20 kg). Body Fat Percentage is that fat mass expressed as a proportion of your total body weight (e.g., 20 kg fat / 80 kg total weight = 25%).

Q6: Does the calculator account for muscle mass?

Yes, indirectly. BIA machines measure impedance, which is lower in muscle tissue (due to higher water content) and higher in fat tissue. The algorithms use this impedance, along with user data, to estimate both lean body mass (which includes muscle) and fat mass.

Q7: Why is my body fat percentage higher than expected?

Possible reasons include dehydration, recent meals, time of day, incorrect height/weight inputs, or the limitations of the BIA technology itself. Ensure you are using the calculator under consistent, optimal conditions.

Q8: Can weight machines measure visceral fat?

Most standard BIA scales do not directly measure visceral fat (fat around organs). Some advanced body composition scales or analyzers may provide estimates for visceral fat levels, but accuracy can still be a concern.

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var weightInput = document.getElementById('weight'); var heightInput = document.getElementById('height'); var genderSelect = document.getElementById('gender'); var ageInput = document.getElementById('age'); var activityLevelSelect = document.getElementById('activityLevel'); var resultsDiv = document.getElementById('results'); var mainResultSpan = document.getElementById('mainResult'); var leanBodyMassSpan = document.getElementById('leanBodyMass'); var fatMassSpan = document.getElementById('fatMass'); var bmrSpan = document.getElementById('bmr'); var weightError = document.getElementById('weightError'); var heightError = document.getElementById('heightError'); var ageError = document.getElementById('ageError'); var chart; var chartContext; // Default values for units var weightUnit = 'kg'; var heightUnit = 'cm'; // Helper function to convert units if needed (simplified for this example) function convertWeight(value, unit) { if (unit === 'lbs') { return value * 0.453592; // Convert lbs to kg } return value; // Already in kg } function convertHeight(value, unit) { if (unit === 'in') { return value * 2.54; // Convert inches to cm } return value; // Already in cm } function validateInput(value, id, errorMessageElement, min, max, isDecimal) { var errorDiv = document.getElementById(errorMessageElement); errorDiv.style.display = 'none'; // Hide error by default if (value === ") { errorDiv.textContent = 'This field cannot be empty.'; errorDiv.style.display = 'block'; return false; } var numValue; if (isDecimal) { numValue = parseFloat(value); } else { numValue = parseInt(value); } if (isNaN(numValue)) { errorDiv.textContent = 'Please enter a valid number.'; errorDiv.style.display = 'block'; return false; } if (numValue max) { errorDiv.textContent = 'Value out of range. Please enter a value between ' + min + ' and ' + max + '.'; errorDiv.style.display = 'block'; return false; } return true; } function calculateBodyFat() { var weightVal = weightInput.value.trim(); var heightVal = heightInput.value.trim(); var ageVal = ageInput.value.trim(); var gender = genderSelect.value; var activityLevel = activityLevelSelect.value; // — Unit Detection (Simplified) — // This is a basic detection. A more robust solution might use separate inputs or auto-detection. // For simplicity, we'll assume kg/cm if no explicit unit is entered, and lbs/in if they contain those keywords. // A better UI would have explicit unit selectors. if (weightVal.toLowerCase().includes('lbs')) { weightVal = parseFloat(weightVal.replace(/lbs/i, ").trim()); weightUnit = 'lbs'; } else { weightVal = parseFloat(weightVal); weightUnit = 'kg'; } if (heightVal.toLowerCase().includes('in')) { heightVal = parseFloat(heightVal.replace(/in/i, ").trim()); heightUnit = 'in'; } else { heightVal = parseFloat(heightVal); heightUnit = 'cm'; } // — Input Validation — var isWeightValid = validateInput(weightVal, 'weight', 'weightError', 1, 1000, true); var isHeightValid = validateInput(heightVal, 'height', 'heightError', 1, 300, true); var isAgeValid = validateInput(ageVal, 'age', 'ageError', 1, 120, false); if (!isWeightValid || !isHeightValid || !isAgeValid) { resultsDiv.style.display = 'none'; return; } // Convert to metric for calculations var weightKg = convertWeight(weightVal, weightUnit); var heightCm = convertHeight(heightVal, heightUnit); var age = parseInt(ageVal); // — BIA Algorithm Constants (Simplified & Hypothetical) — // These constants are illustrative and not based on a specific scientific BIA formula. // Real-world formulas are proprietary and complex. var K1 = 400; // Example constant var K2 = -0.2; // Example constant var resistanceFactor = 1.0; // Adjust based on gender/activity if (gender === 'female') { resistanceFactor = 1.15; // Females tend to have higher impedance for same height/weight } // Adjust resistance factor based on activity level (simplified) if (activityLevel === 'sedentary') resistanceFactor *= 1.05; if (activityLevel === 'lightly_active') resistanceFactor *= 1.02; if (activityLevel === 'moderately_active') resistanceFactor *= 1.00; if (activityLevel === 'very_active') resistanceFactor *= 0.98; if (activityLevel === 'extra_active') resistanceFactor *= 0.96; // — Intermediate Calculation (Simplified BIA Model) — // Impedance (Z) is often related to Height and Resistance. // Resistance is influenced by factors like hydration, tissue type, etc. // A common relationship is Z is proportional to Height and inversely related to cross-sectional area. // For simplicity, let's model resistance based on height and a factor. // This is NOT a scientifically validated BIA formula, but a simulation for the calculator. var simulatedResistance = (heightCm * heightCm) / (resistanceFactor * 1000); // Hypothetical resistance var impedance = simulatedResistance * 1.1; // Add a base impedance value // Simplified estimation of Lean Body Mass (LBM) using impedance and other factors // Formula structure inspired by common regression models: LBM = (H^2 / R) * constant + offset // Using metric units (cm, kg) var leanBodyMassKg = (Math.pow(heightCm, 2) / impedance) * K1 + K2 * age; // Adjust LBM based on gender/activity in a simplified way if (gender === 'female') { leanBodyMassKg *= 0.9; // Females generally have lower LBM for same height/weight } // Further adjustments for activity level could be made here if desired // Ensure LBM is not greater than total weight leanBodyMassKg = Math.min(leanBodyMassKg, weightKg * 0.98); // Cap LBM at 98% of body weight // Ensure LBM is not too low leanBodyMassKg = Math.max(leanBodyMassKg, weightKg * 0.3); // Minimum LBM is 30% of body weight var fatMassKg = weightKg – leanBodyMassKg; var bodyFatPercentage = (fatMassKg / weightKg) * 100; // Ensure body fat percentage is within reasonable bounds bodyFatPercentage = Math.max(bodyFatPercentage, 2); // Min 2% BF bodyFatPercentage = Math.min(bodyFatPercentage, 70); // Max 70% BF // Recalculate Fat Mass and LBM based on final BF% to ensure consistency fatMassKg = weightKg * (bodyFatPercentage / 100); leanBodyMassKg = weightKg – fatMassKg; // — BMR Calculation (Harris-Benedict or Mifflin-St Jeor – Simplified) — var bmrKcal; if (gender === 'male') { // Mifflin-St Jeor Equation for Men (Metric) bmrKcal = (10 * weightKg) + (6.25 * heightCm) – (5 * age) + 5; } else { // Mifflin-St Jeor Equation for Women (Metric) bmrKcal = (10 * weightKg) + (6.25 * heightCm) – (5 * age) – 161; } // Basic adjustment for activity level on Total Daily Energy Expenditure (TDEE) – not strictly BMR but often useful context // For this calculator, we'll just display BMR. bmrKcal = Math.max(bmrKcal, 800); // Ensure a minimum BMR // — Display Results — mainResultSpan.textContent = bodyFatPercentage.toFixed(1) + '%'; leanBodyMassSpan.textContent = leanBodyMassKg.toFixed(2) + ' ' + weightUnit; // Display in user's chosen unit fatMassSpan.textContent = fatMassKg.toFixed(2) + ' ' + weightUnit; // Display in user's chosen unit bmrSpan.textContent = bmrKcal.toFixed(0) + ' kcal'; resultsDiv.style.display = 'block'; // — Update Chart — updateChart(bodyFatPercentage, leanBodyMassKg); } function resetCalculator() { weightInput.value = "; heightInput.value = "; ageInput.value = "; genderSelect.value = 'male'; activityLevelSelect.value = 'moderately_active'; weightError.style.display = 'none'; heightError.style.display = 'none'; ageError.style.display = 'none'; resultsDiv.style.display = 'none'; if (chart) { chart.destroy(); } // Optionally reset default units if they were changed weightUnit = 'kg'; heightUnit = 'cm'; } function copyResults() { var resultText = "— Body Fat Estimate —\n"; resultText += "Body Weight: " + weightInput.value.trim() + "\n"; resultText += "Height: " + heightInput.value.trim() + "\n"; resultText += "Gender: " + genderSelect.value + "\n"; resultText += "Age: " + ageInput.value.trim() + "\n"; resultText += "Activity Level: " + activityLevelSelect.value + "\n\n"; resultText += "Estimated Body Fat Percentage: " + mainResultSpan.textContent + "\n"; resultText += "Lean Body Mass: " + leanBodyMassSpan.textContent + "\n"; resultText += "Fat Mass: " + fatMassSpan.textContent + "\n"; resultText += "Basal Metabolic Rate (BMR): " + bmrSpan.textContent + "\n\n"; resultText += "Formula Used: Simplified Bioelectrical Impedance Analysis (BIA) model."; var textArea = document.createElement("textarea"); textArea.value = resultText; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied!' : 'Copying failed!'; // Optionally show a temporary message to the user console.log(msg); } catch (err) { console.error('Unable to copy results', err); // Optionally show error message } finally { document.body.removeChild(textArea); } } // — Charting Logic — function updateChart(bodyFatPercentage, leanBodyMassKg) { var fatMassKg = parseFloat(fatMassSpan.textContent); // Get calculated fat mass var totalWeightKg = parseFloat(weightInput.value.trim()); var displayUnit = weightUnit; // Use the unit the user entered or the default // Adjust Fat Mass display unit if needed (though it should match weight unit) if (weightUnit === 'lbs') { fatMassKg = fatMassKg / 0.453592; } if (weightUnit === 'lbs') { leanBodyMassKg = leanBodyMassKg / 0.453592; } var ctx = document.getElementById('bodyFatChart').getContext('2d'); if (chart) { chart.destroy(); // Destroy previous chart instance if it exists } chart = new Chart(ctx, { type: 'bar', // Changed to bar chart for better comparison data: { labels: ['Body Fat', 'Lean Body Mass'], datasets: [{ label: 'Mass (' + displayUnit + ')', data: [fatMassKg, leanBodyMassKg], backgroundColor: [ 'rgba(255, 99, 132, 0.6)', // Red for Fat Mass 'rgba(54, 162, 235, 0.6)' // Blue for Lean Body Mass ], borderColor: [ 'rgba(255, 99, 132, 1)', 'rgba(54, 162, 235, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, // Allow chart to fill container height scales: { y: { beginAtZero: true, title: { display: true, text: 'Mass (' + displayUnit + ')' } } }, plugins: { legend: { display: true, position: 'top', }, title: { display: true, text: 'Body Composition Breakdown' } } } }); } // Initial calculation on page load if inputs have default values (not applicable here as inputs are empty) // Trigger calculation on input change for real-time updates weightInput.addEventListener('input', calculateBodyFat); heightInput.addEventListener('input', calculateBodyFat); genderSelect.addEventListener('change', calculateBodyFat); ageInput.addEventListener('input', calculateBodyFat); activityLevelSelect.addEventListener('change', calculateBodyFat); // Ensure initial calculation call is made if defaults are set, or to show placeholders // calculateBodyFat(); // Uncomment if you want initial calculation based on defaults

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