Body Weight Calculator Using Skin Fold Measurements

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Body Fat Percentage Calculator: Skinfold Method

Accurately estimate your body fat percentage using precise skinfold measurements.

Male Female
Enter your age in years.
Enter your weight in kilograms (kg).
Enter your height in centimeters (cm).
Measurement in millimeters (mm).
Measurement in millimeters (mm).
Measurement in millimeters (mm).
Measurement in millimeters (mm).
Measurement in millimeters (mm).
Measurement in millimeters (mm).
Measurement in millimeters (mm).

Your Body Fat Analysis

–.–% Body Fat Percentage
–.– kg/L Body Density
–.– kg Lean Body Mass
–.– kg Fat Mass
Formula Used: This calculator uses the US Navy Method (or a variation based on selected sites) to estimate body density from skinfold measurements. Body fat percentage is then derived from body density using established formulas (e.g., Siri or Brozek).

Key Steps:
  1. Measure skinfolds accurately in millimeters (mm).
  2. Calculate Body Density using specific formulas based on gender, age, and measurements.
  3. Convert Body Density to Body Fat Percentage using the Siri equation: BF% = (495 / Body Density) – 450.
Comparison of Lean Body Mass vs. Fat Mass
Body Composition Breakdown
Component Value Unit
Weight –.– kg
Body Fat Percentage –.–% %
Fat Mass –.– kg
Lean Body Mass –.– kg
Body Density –.– kg/L

What is Body Fat Percentage Calculation?

Body fat percentage is a measurement that describes the amount of fat your body contains. It's expressed as a percentage of your total body weight. Understanding your body fat percentage is often considered a more accurate indicator of health and fitness than simple weight or Body Mass Index (BMI) alone. It helps differentiate between weight lost due to fat versus weight lost due to muscle or water. This metric is crucial for athletes, fitness enthusiasts, and individuals focused on improving their overall health and body composition. Knowing your body fat percentage allows for more targeted training and nutrition strategies.

Who should use it? Anyone interested in tracking their fitness progress, managing weight effectively, optimizing athletic performance, or assessing their health risks associated with excess body fat. This includes bodybuilders, endurance athletes, individuals undergoing weight management programs, and those seeking a deeper understanding of their physical condition beyond just the number on the scale.

Common misconceptions: A common misconception is that all body fat is bad. In reality, the body needs a certain amount of fat for essential functions like hormone production, nutrient absorption, and insulation. Another misconception is that BMI is a definitive measure of health; however, BMI doesn't distinguish between fat mass and lean mass, meaning a very muscular person could have a high BMI but low body fat. The skinfold method, while requiring skill, offers a more direct estimation of fat tissue.

Body Fat Percentage Calculation: Formula and Mathematical Explanation

Calculating body fat percentage using skinfold measurements typically involves a multi-step process. The most common method is the US Navy Method, which uses specific sites depending on gender. Other methods, like the Jackson-Pollock formulas, use more sites for potentially greater accuracy.

US Navy Method (Simplified)

This method is widely used due to its simplicity and reasonable accuracy when performed by a trained individual. It requires measuring specific skinfolds and then using formulas to derive body density, from which body fat percentage is calculated.

For Men:

Typically uses three sites: Chest, Abdomen, and Thigh.

Formula for Body Density (DC):

DC = 1.10938 - (0.0008267 * X) + (0.0000016 * X^2) - (0.00025753 * Age)

Where X is the sum of three skinfolds: Triceps + Chest + Abdomen.

For Women:

Typically uses three sites: Triceps, Thigh, and Suprailium (or Calf).

Formula for Body Density (DC):

DC = 1.099492 - (0.0009929 * X) + (0.0000023 * X^2) - (0.00013922 * Age)

Where X is the sum of three skinfolds: Triceps + Thigh + Suprailium.

Converting Body Density to Body Fat Percentage

Once body density (DC) is calculated, body fat percentage (BF%) is estimated using either the Siri equation or the Brozek equation.

Siri Equation (Commonly Used):

BF% = (495 / DC) - 450

Brozek Equation:

BF% = (485 / DC) - 450

Our calculator primarily uses the Siri equation for its widespread adoption.

Variable Explanations

Variable Meaning Unit Typical Range
Age Individual's age Years 10 – 90
Weight Individual's body weight Kilograms (kg) 20 – 200
Height Individual's height Centimeters (cm) 100 – 220
Triceps Skinfold Thickness of subcutaneous fat fold on the back of the upper arm Millimeters (mm) 2 – 60
Chest Skinfold (Men) Thickness of skinfold on the chest (diagonal fold) Millimeters (mm) 5 – 50
Abdomen Skinfold (Men) Thickness of skinfold on the abdomen (vertical fold near navel) Millimeters (mm) 5 – 70
Thigh Skinfold (Women) Thickness of skinfold on the front of the thigh (mid-patella) Millimeters (mm) 10 – 80
Suprailiac Skinfold (Women) Thickness of skinfold above the iliac crest (hip bone) Millimeters (mm) 10 – 80
Calf Skinfold (Women) Thickness of skinfold on the medial side of the calf Millimeters (mm) 10 – 60
Body Density (DC) Estimated density of the body kg/L 1.000 – 1.070
Body Fat Percentage (BF%) Estimated percentage of body weight that is fat % 1% – 70%
Lean Body Mass (LBM) Weight of non-fat components (muscle, bone, organs, etc.) Kilograms (kg) Calculated
Fat Mass (FM) Weight of fat tissue Kilograms (kg) Calculated

Practical Examples (Real-World Use Cases)

Example 1: Fitness Enthusiast Tracking Progress

Scenario: Sarah, a 32-year-old woman, is training for a half-marathon and wants to monitor her body composition changes. She uses calipers to measure her skinfolds.

Inputs:

  • Gender: Female
  • Age: 32
  • Weight: 65 kg
  • Height: 168 cm
  • Triceps Skinfold: 14 mm
  • Thigh Skinfold: 25 mm
  • Suprailiac Skinfold: 22 mm

Calculation Steps (Simplified):

  1. Sum of skinfolds (X) = 14 + 25 + 22 = 61 mm
  2. Body Density (DC) = 1.099492 – (0.0009929 * 61) + (0.0000023 * 61^2) – (0.00013922 * 32) ≈ 1.075 kg/L
  3. Body Fat % (Siri) = (495 / 1.075) – 450 ≈ 20.9%
  4. Fat Mass = (20.9 / 100) * 65 kg ≈ 13.6 kg
  5. Lean Body Mass = 65 kg – 13.6 kg ≈ 51.4 kg

Results: Sarah's estimated body fat percentage is 20.9%. This indicates a healthy body composition for an active female. She can use this as a baseline and re-measure periodically to track improvements in fat loss and muscle maintenance.

Example 2: Health Assessment for a Middle-Aged Man

Scenario: John, a 48-year-old man, is concerned about his health and wants to understand his body composition better. He has a history of sedentary work.

Inputs:

  • Gender: Male
  • Age: 48
  • Weight: 90 kg
  • Height: 180 cm
  • Triceps Skinfold: 20 mm
  • Chest Skinfold: 25 mm
  • Abdomen Skinfold: 35 mm

Calculation Steps (Simplified):

  1. Sum of skinfolds (X) = 20 + 25 + 35 = 80 mm
  2. Body Density (DC) = 1.10938 – (0.0008267 * 80) + (0.0000016 * 80^2) – (0.00025753 * 48) ≈ 1.045 kg/L
  3. Body Fat % (Siri) = (495 / 1.045) – 450 ≈ 22.5%
  4. Fat Mass = (22.5 / 100) * 90 kg ≈ 20.3 kg
  5. Lean Body Mass = 90 kg – 20.3 kg ≈ 69.7 kg

Results: John's estimated body fat percentage is 22.5%. While not extremely high, for a 48-year-old male, this level might suggest an increased risk for certain health conditions. This result can motivate him to adopt a healthier lifestyle, including regular exercise and a balanced diet, to reduce body fat and improve his overall health profile.

How to Use This Body Fat Percentage Calculator

Using our skinfold-based body fat calculator is straightforward. Follow these steps for an accurate estimation:

  1. Select Gender: Choose 'Male' or 'Female' from the dropdown menu. This is crucial as different formulas are used for each gender.
  2. Enter Age: Input your age in years. Age affects the body density calculation.
  3. Enter Weight: Provide your current weight in kilograms (kg).
  4. Enter Height: Input your height in centimeters (cm).
  5. Measure Skinfolds: This is the most critical step. Using a reliable skinfold caliper, measure the thickness of the skin and subcutaneous fat at the specified sites. Ensure you pinch the skin firmly but not too tightly, and take measurements in millimeters (mm). The calculator will prompt for the correct sites based on your gender selection.
  6. Click Calculate: Once all fields are filled, click the "Calculate Body Fat" button.

How to Read Results:

  • Body Fat Percentage: The primary result, showing the estimated percentage of your body weight that is fat. Compare this to general health guidelines (e.g., essential fat, athletes, fitness, acceptable, obese ranges).
  • Body Density: An intermediate value used in the calculation.
  • Lean Body Mass (LBM): The weight of everything in your body that isn't fat (muscles, bones, organs, water).
  • Fat Mass: The actual weight of fat in your body.

Decision-Making Guidance: Use these results to set realistic fitness goals. If your body fat percentage is higher than desired, consider increasing physical activity, focusing on cardiovascular exercise and strength training, and adopting a balanced, calorie-controlled diet. If it's very low, ensure you are consuming enough calories and nutrients to support essential bodily functions.

Key Factors That Affect Body Fat Calculation Results

Several factors can influence the accuracy of body fat percentage calculations using skinfold measurements:

  1. Technician Skill: The accuracy of skinfold measurements heavily relies on the skill and consistency of the person taking the measurements. Inconsistent pinching, incorrect site identification, or improper caliper use can lead to significant errors.
  2. Hydration Levels: Dehydration can affect skin elasticity and thickness, potentially leading to underestimation of skinfold thickness and, consequently, body fat percentage. Proper hydration is key for consistent readings.
  3. Timing of Measurement: Measuring at different times of the day or after intense exercise might yield slightly different results due to temporary fluid shifts. Consistent timing is recommended for tracking progress.
  4. Individual Fat Distribution: People store fat differently. Some methods might not perfectly capture the unique fat distribution patterns of every individual, leading to variations.
  5. Type of Caliper Used: While most calipers work similarly, slight differences in their pressure or jaw design can impact measurements. Using the same caliper consistently is advisable.
  6. Formula Choice: Different formulas (Siri, Brozek, Jackson-Pollock) exist, and each has its own assumptions and potential biases. The US Navy method is a good general estimate but may not be as precise as more complex multi-site equations for certain populations.
  7. Recent Weight Fluctuations: Significant recent weight gain or loss can temporarily alter subcutaneous fat thickness, potentially affecting the accuracy of the measurement until the body's fat distribution stabilizes.

Frequently Asked Questions (FAQ)

Q1: How accurate is the skinfold method compared to other methods?

A: The skinfold method, when performed by a skilled technician, is generally considered moderately accurate, with typical error margins of 3-5%. It's more accurate than BMI for assessing body composition but less precise than methods like DEXA scans or hydrostatic weighing, which are more expensive and less accessible.

Q2: Can I measure my own skinfolds accurately?

A: It's challenging to measure your own skinfolds accurately, especially for sites like the abdomen or back. Self-measurement often leads to inconsistencies and potential errors. It's best performed by a trained professional or a knowledgeable partner.

Q3: What are the recommended body fat percentages for men and women?

A: General guidelines vary, but typically:

  • Men: Essential fat: 2-5%, Athletes: 6-13%, Fitness: 14-17%, Acceptable: 18-24%, Obese: 25%+
  • Women: Essential fat: 10-13%, Athletes: 14-20%, Fitness: 21-24%, Acceptable: 25-31%, Obese: 32%+
These are general ranges and individual health goals may differ.

Q4: How often should I measure my body fat percentage?

A: For tracking progress, measuring every 4-8 weeks is usually sufficient. Avoid frequent measurements as small fluctuations are normal and can be misleading. Ensure consistent conditions (time of day, hydration) for each measurement.

Q5: Does height affect the skinfold calculation?

A: Height is not directly used in the US Navy skinfold formulas for body density calculation but is often used in other body composition assessments like BMI. However, body size and proportions, which are related to height, indirectly influence skinfold measurements.

Q6: What if I don't have calipers? Can I use other tools?

A: Skinfold calipers are specifically designed to measure the thickness of the skinfold accurately. Using household rulers or other makeshift tools is not recommended as they lack the precision and consistent pressure needed for reliable results.

Q7: Why do the required skinfold sites change based on gender?

A: Men and women tend to store subcutaneous fat differently due to hormonal and genetic factors. The formulas are designed to account for these typical differences in fat distribution patterns by selecting sites that are most representative of overall body fat for each gender.

Q8: Can this calculator estimate visceral fat?

A: No, this calculator estimates total body fat percentage based on subcutaneous skinfold measurements. It does not directly measure visceral fat (fat around the organs), which is often assessed using waist circumference or imaging techniques.

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var suprailiacError = document.getElementById('suprailiacError'); var thighError = document.getElementById('thighError'); var calfError = document.getElementById('calfError'); var bodyFatPercentageResult = document.getElementById('bodyFatPercentage'); var bodyDensityResult = document.getElementById('bodyDensity'); var leanBodyMassResult = document.getElementById('leanBodyMass'); var fatMassResult = document.getElementById('fatMass'); var tableWeight = document.getElementById('tableWeight'); var tableBodyFatPerc = document.getElementById('tableBodyFatPerc'); var tableFatMass = document.getElementById('tableFatMass'); var tableLeanMass = document.getElementById('tableLeanMass'); var tableBodyDensity = document.getElementById('tableBodyDensity'); var chart; var chartContext; var myChart; function initializeChart() { chartContext = document.getElementById('bodyFatChart').getContext('2d'); myChart = new Chart(chartContext, { type: 'bar', data: { labels: ['Fat Mass (kg)', 'Lean Body Mass (kg)'], datasets: [{ label: 'Body Composition', data: [0, 0], backgroundColor: [ 'rgba(255, 99, 132, 0.6)', // Fat Mass 'rgba(54, 162, 235, 0.6)' // Lean Body Mass ], borderColor: [ 'rgba(255, 99, 132, 1)', 'rgba(54, 162, 235, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Mass (kg)' } } }, plugins: { legend: { display: true, position: 'top', }, title: { display: true, text: 'Lean Mass vs. Fat Mass Comparison' } } } }); } function updateChart(fatMass, leanMass) { if (myChart) { myChart.data.datasets[0].data = [fatMass, leanMass]; myChart.update(); } } function validateInput(inputElement, errorElement, min, max) { var value = parseFloat(inputElement.value); var isValid = true; if (isNaN(value) || value <= 0) { errorElement.textContent = "Please enter a positive number."; inputElement.classList.add('error'); isValid = false; } else if (min !== undefined && max !== undefined && (value max)) { errorElement.textContent = "Value out of range."; inputElement.classList.add('error'); isValid = false; } else { errorElement.textContent = ""; inputElement.classList.remove('error'); } return isValid; } function validateAllInputs() { var allValid = true; allValid &= validateInput(ageInput, ageError, 1, 120); allValid &= validateInput(weightInput, weightError, 1, 500); allValid &= validateInput(heightInput, heightError, 30, 250); allValid &= validateInput(tricepsInput, tricepsError, 1, 100); allValid &= validateInput(chestInput, chestError, 1, 100); if (document.getElementById('bicepGroup').style.display !== 'none') { allValid &= validateInput(bicepInput, bicepError, 1, 100); } if (document.getElementById('subscapularGroup').style.display !== 'none') { allValid &= validateInput(subscapularInput, subscapularError, 1, 100); } if (document.getElementById('suprailiacGroup').style.display !== 'none') { allValid &= validateInput(suprailiacInput, suprailiacError, 1, 100); } if (document.getElementById('thighGroup').style.display !== 'none') { allValid &= validateInput(thighInput, thighError, 1, 100); } if (document.getElementById('calfGroup').style.display !== 'none') { allValid &= validateInput(calfInput, calfError, 1, 100); } return allValid; } function updateSkinfoldInputs() { var gender = genderSelect.value; document.getElementById('bicepGroup').style.display = 'none'; document.getElementById('subscapularGroup').style.display = 'none'; document.getElementById('suprailiacGroup').style.display = 'none'; document.getElementById('thighGroup').style.display = 'none'; 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document.getElementById('suprailiacGroup').style.display = 'flex'; document.getElementById('thighGroup').style.display = 'flex'; document.getElementById('calfGroup').style.display = 'flex'; document.getElementById('chestGroup').style.display = 'flex'; // Re-enable chest/thigh for women document.getElementById('chest').placeholder = "e.g., 22"; document.getElementById('chest').previousElementSibling.textContent = "Thigh Skinfold"; document.getElementById('chestError').textContent = ""; // Clear error if re-enabled document.getElementById('chest').classList.remove('error'); document.getElementById('subscapularGroup').style.display = 'none'; // Hide subscapular for women } } function calculateBodyFat() { if (!validateAllInputs()) { return; } var gender = genderSelect.value; var age = parseFloat(ageInput.value); var weight = parseFloat(weightInput.value); var height = parseFloat(heightInput.value); // Not directly used in USN formula but good to have var triceps = parseFloat(tricepsInput.value); var chest = parseFloat(chestInput.value); // This will be chest for men, thigh for women based on updateSkinfoldInputs var bicep = parseFloat(bicepInput.value); var subscapular = parseFloat(subscapularInput.value); var suprailiac = parseFloat(suprailiacInput.value); var thigh = parseFloat(thighInput.value); var calf = parseFloat(calfInput.value); var sumSkinfolds = 0; var bodyDensity = 0; var bodyFatPerc = 0; var fatMass = 0; var leanBodyMass = 0; if (gender === 'male') { // US Navy Method for Men (3-site: Chest, Abdomen, Thigh – but our input is chest, bicep, subscapular) // Let's adapt to common 3-site male measurements: Chest, Abdomen, Triceps // The provided inputs are Triceps, Chest (as Chest/Thigh), Bicep, Subscapular. // A common 3-site for men is Chest, Abdomen, Triceps. // Let's assume the user inputs Triceps, Chest (as Chest), Bicep, Subscapular. // We need to map the available inputs to a standard formula. // A common 3-site for men is Chest, Abdomen, Triceps. // Let's use Triceps, Chest (as Chest), and Subscapular as a proxy for Abdomen if Abdomen isn't directly available. // Or, let's use the Jackson-Pollock 3-site for men if available: Chest, Thigh, Triceps. // Given the inputs: Triceps, Chest (as Chest/Thigh), Bicep, Subscapular. // Let's use a common 3-site formula that fits: Triceps, Chest, Abdomen. // If Abdomen is not available, Subscapular is sometimes used as a proxy. // Let's use: Triceps, Chest, Subscapular for men. sumSkinfolds = triceps + chest + subscapular; // Assuming chest input is chest for men, subscapular is proxy for abdomen bodyDensity = 1.10938 – (0.0008267 * sumSkinfolds) + (0.0000016 * Math.pow(sumSkinfolds, 2)) – (0.00025753 * age); } else { // female // US Navy Method for Women (3-site: Triceps, Thigh, Suprailium) // Our inputs: Triceps, Chest (as Thigh), Bicep, Suprailiac, Calf. // We need Triceps, Thigh, Suprailium. sumSkinfolds = triceps + thigh + suprailiac; // Using thigh input for thigh measurement bodyDensity = 1.099492 – (0.0009929 * sumSkinfolds) + (0.0000023 * Math.pow(sumSkinfolds, 2)) – (0.00013922 * age); } // Ensure body density is within a reasonable range before calculating BF% if (bodyDensity 1.070) { bodyDensityResult.textContent = "N/A"; fatMassResult.textContent = "N/A"; leanBodyMassResult.textContent = "N/A"; bodyFatPercentageResult.textContent = "N/A"; tableFatMass.textContent = "N/A"; tableLeanMass.textContent = "N/A"; tableBodyDensity.textContent = "N/A"; tableBodyFatPerc.textContent = "N/A"; updateChart(0,0); return; } // Siri Equation bodyFatPerc = (495 / bodyDensity) – 450; // Calculate Fat Mass and Lean Body Mass fatMass = (bodyFatPerc / 100) * weight; leanBodyMass = weight – fatMass; // Update results display bodyFatPercentageResult.textContent = bodyFatPerc.toFixed(1) + "%"; bodyDensityResult.textContent = bodyDensity.toFixed(3) + " kg/L"; leanBodyMassResult.textContent = leanBodyMass.toFixed(1) + " kg"; fatMassResult.textContent = fatMass.toFixed(1) + " kg"; // Update table tableWeight.textContent = weight.toFixed(1); tableBodyFatPerc.textContent = bodyFatPerc.toFixed(1) + "%"; tableFatMass.textContent = fatMass.toFixed(1); tableLeanMass.textContent = leanBodyMass.toFixed(1); tableBodyDensity.textContent = bodyDensity.toFixed(3); // Update chart updateChart(fatMass, leanBodyMass); } function resetCalculator() { genderSelect.value = 'male'; ageInput.value = "; weightInput.value = "; heightInput.value = "; tricepsInput.value = "; chestInput.value = "; bicepInput.value = "; subscapularInput.value = "; suprailiacInput.value = "; thighInput.value = "; calfInput.value = "; genderError.textContent = "; ageError.textContent = "; weightError.textContent = "; heightError.textContent = "; tricepsError.textContent = "; chestError.textContent = "; bicepError.textContent = "; subscapularError.textContent = "; suprailiacError.textContent = "; thighError.textContent = "; calfError.textContent = "; document.querySelectorAll('.input-group input').forEach(function(input) { input.classList.remove('error'); }); bodyFatPercentageResult.textContent = "–.–%"; bodyDensityResult.textContent = "–.– kg/L"; leanBodyMassResult.textContent = "–.– kg"; fatMassResult.textContent = "–.– kg"; tableWeight.textContent = "–.–"; tableBodyFatPerc.textContent = "–.–%"; tableFatMass.textContent = "–.–"; tableLeanMass.textContent = "–.–"; tableBodyDensity.textContent = "–.–"; updateSkinfoldInputs(); // Reset visibility based on default gender updateChart(0, 0); } function copyResults() { var resultsText = "Body Fat Analysis Results:\n\n"; resultsText += "Body Fat Percentage: " + bodyFatPercentageResult.textContent + "\n"; resultsText += "Body Density: " + bodyDensityResult.textContent + "\n"; resultsText += "Lean Body Mass: " + leanBodyMassResult.textContent + "\n"; resultsText += "Fat Mass: " + fatMassResult.textContent + "\n\n"; resultsText += "Key Assumptions:\n"; resultsText += "- Calculation Method: US Navy Method (adapted based on available sites)\n"; resultsText += "- Formula Used: Siri Equation for Body Fat Percentage\n"; resultsText += "- Measurements: Assumes accurate skinfold measurements in millimeters (mm).\n"; var textArea = document.createElement("textarea"); textArea.value = resultsText; document.body.appendChild(textArea); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Failed to copy results.'; // Optionally show a temporary message to the user console.log(msg); } catch (err) { console.error('Unable to copy results', err); } document.body.removeChild(textArea); } // Event listeners for real-time updates and validation genderSelect.addEventListener('change', function() { updateSkinfoldInputs(); // Clear errors related to gender-specific inputs if they exist document.getElementById('chestError').textContent = ""; document.getElementById('chest').classList.remove('error'); // Trigger calculation if inputs are already filled if (document.getElementById('age').value && document.getElementById('weight').value && document.getElementById('height').value && document.getElementById('triceps').value && document.getElementById('chest').value) { calculateBodyFat(); } }); ageInput.addEventListener('input', function() { validateInput(ageInput, ageError, 1, 120); calculateBodyFat(); }); weightInput.addEventListener('input', function() { validateInput(weightInput, weightError, 1, 500); calculateBodyFat(); }); heightInput.addEventListener('input', function() { validateInput(heightInput, heightError, 30, 250); calculateBodyFat(); }); tricepsInput.addEventListener('input', function() { validateInput(tricepsInput, tricepsError, 1, 100); calculateBodyFat(); }); chestInput.addEventListener('input', function() { validateInput(chestInput, chestError, 1, 100); calculateBodyFat(); }); bicepInput.addEventListener('input', function() { validateInput(bicepInput, bicepError, 1, 100); calculateBodyFat(); }); subscapularInput.addEventListener('input', function() { validateInput(subscapularInput, subscapularError, 1, 100); calculateBodyFat(); }); suprailiacInput.addEventListener('input', function() { validateInput(suprailiacInput, suprailiacError, 1, 100); calculateBodyFat(); }); thighInput.addEventListener('input', function() { validateInput(thighInput, thighError, 1, 100); calculateBodyFat(); }); calfInput.addEventListener('input', function() { validateInput(calfInput, calfError, 1, 100); calculateBodyFat(); }); // Initial setup document.addEventListener('DOMContentLoaded', function() { updateSkinfoldInputs(); initializeChart(); resetCalculator(); // Set initial sensible defaults and clear results });

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