Bf at Weight Calculator

BF at Weight Calculator: Understand Your Body Composition :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; padding-top: 20px; padding-bottom: 40px; } .container { width: 100%; max-width: 960px; background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); margin: 0 auto; display: flex; flex-direction: column; align-items: center; } h1, h2, h3 { color: var(–primary-color); text-align: center; margin-bottom: 20px; } h1 { font-size: 2.5em; margin-bottom: 10px; } h2 { font-size: 1.8em; margin-top: 30px; } h3 { font-size: 1.4em; margin-top: 25px; } .calculator-section { width: 100%; margin-bottom: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 6px; background-color: var(–card-background); box-shadow: var(–shadow); } .input-group { margin-bottom: 20px; width: 100%; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: var(–primary-color); } .input-group input[type="number"], .input-group select { width: calc(100% – 20px); padding: 12px 10px; border: 1px solid var(–border-color); border-radius: 4px; font-size: 1em; box-sizing: border-box; } .input-group input[type="number"]:focus, .input-group select:focus { outline: none; border-color: var(–primary-color); box-shadow: 0 0 0 2px rgba(0, 74, 153, 0.2); } .input-group .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; display: block; } .input-group .error-message { color: #dc3545; font-size: 0.8em; margin-top: 5px; display: none; /* Hidden by default */ } .input-group .error-message.visible { display: block; } .button-group { display: flex; justify-content: space-between; margin-top: 25px; gap: 10px; } button { padding: 12px 20px; border: none; border-radius: 5px; cursor: pointer; font-size: 1em; font-weight: bold; transition: background-color 0.3s ease; } .btn-primary { background-color: var(–primary-color); color: white; } .btn-primary:hover { background-color: #003366; } .btn-secondary { background-color: #6c757d; color: white; } .btn-secondary:hover { background-color: #5a6268; } .btn-reset { background-color: #ffc107; color: #212529; } .btn-reset:hover { background-color: #e0a800; } .results-container { width: 100%; margin-top: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 6px; background-color: var(–card-background); box-shadow: var(–shadow); } .results-container h3 { margin-top: 0; color: var(–primary-color); } .main-result { font-size: 2.2em; font-weight: bold; color: var(–success-color); text-align: center; margin: 20px 0; padding: 15px; background-color: #e9f7ef; border-radius: 5px; border: 1px solid var(–success-color); } .intermediate-results { display: grid; grid-template-columns: repeat(auto-fit, minmax(180px, 1fr)); gap: 15px; margin-bottom: 20px; text-align: center; } .intermediate-results div { padding: 15px; border: 1px solid var(–border-color); border-radius: 5px; background-color: #fdfdfd; } .intermediate-results span { display: block; font-size: 1.4em; font-weight: bold; color: var(–primary-color); } .formula-explanation { font-size: 0.9em; color: #555; margin-top: 15px; padding-top: 15px; border-top: 1px dashed var(–border-color); } .chart-container { width: 100%; margin-top: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 6px; background-color: var(–card-background); box-shadow: var(–shadow); text-align: center; } .chart-container canvas { max-width: 100%; height: auto; } .chart-caption { font-size: 0.9em; color: #555; margin-top: 10px; display: block; } .table-container { width: 100%; margin-top: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 6px; background-color: var(–card-background); box-shadow: var(–shadow); overflow-x: auto; } table { width: 100%; border-collapse: collapse; margin-top: 15px; } th, td { padding: 12px 15px; text-align: left; border-bottom: 1px solid var(–border-color); } th { background-color: var(–primary-color); color: white; font-weight: bold; } td { background-color: var(–card-background); } tr:hover { background-color: #f1f1f1; } .table-caption { font-size: 0.9em; color: #555; margin-bottom: 10px; display: block; text-align: left; } .article-content { width: 100%; margin-top: 40px; padding: 30px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); text-align: left; } .article-content p, .article-content ul, .article-content ol { margin-bottom: 15px; font-size: 1.05em; } .article-content ul, .article-content ol { padding-left: 25px; } .article-content li { margin-bottom: 8px; } .article-content a { color: var(–primary-color); text-decoration: none; font-weight: bold; } .article-content a:hover { text-decoration: underline; } .faq-section { margin-top: 30px; border-top: 1px solid var(–border-color); padding-top: 20px; } .faq-item { margin-bottom: 15px; } .faq-item strong { color: var(–primary-color); cursor: pointer; display: block; padding: 10px; background-color: #f0f8ff; border-radius: 4px; } .faq-item p { margin-top: 10px; padding: 10px; background-color: #fdfdfd; border-left: 3px solid var(–primary-color); display: none; /* Hidden by default */ } .faq-item p.visible { display: block; } .related-tools { margin-top: 30px; border-top: 1px solid var(–border-color); padding-top: 20px; } .related-tools ul { list-style: none; padding: 0; } .related-tools li { margin-bottom: 10px; } .related-tools a { font-weight: bold; } .related-tools span { font-size: 0.9em; color: #555; display: block; margin-top: 3px; } .copy-button { background-color: #17a2b8; color: white; margin-left: 10px; } .copy-button:hover { background-color: #138496; } @media (max-width: 768px) { .container { padding: 20px; } h1 { font-size: 2em; } h2 { font-size: 1.5em; } .main-result { font-size: 1.8em; } .button-group { flex-direction: column; align-items: center; } button { width: 100%; margin-bottom: 10px; } .copy-button { margin-left: 0; margin-top: 10px; } }

BF at Weight Calculator

Estimate your Body Fat Percentage based on your weight and other key metrics.

Body Fat Percentage Calculator

Enter your total body weight.
Enter your height in centimeters (cm).
Enter your age in years.
Male Female Select your gender.
Enter your waist circumference in centimeters (cm).
Enter your neck circumference in centimeters (cm).
Enter your hip circumference in centimeters (cm). Required for females.

Your Body Fat Results

–.–%
Lean Body Mass: –.– kg
Fat Mass: –.– kg
Basal Metabolic Rate (BMR): –.– kcal
Formula Used (US Navy Method):

For Men: BF% = 495 / (1.0324 – 0.19077 * log10(waist – neck) + 0.15456 * log10(height)) – 450

For Women: BF% = 495 / (1.29579 – 0.35004 * log10(hip + waist – neck) + 0.22100 * log10(height)) – 450

Lean Body Mass (LBM) = Total Weight – Fat Mass

Fat Mass = Total Weight * (BF% / 100)

BMR (Mifflin-St Jeor Equation):

Men: BMR = (10 * weight in kg) + (6.25 * height in cm) – (5 * age in years) + 5

Women: BMR = (10 * weight in kg) + (6.25 * height in cm) – (5 * age in years) – 161

Body Fat Percentage Trends

Visualizing estimated body fat percentage across different weight scenarios.
Body Composition Breakdown by Weight
Weight (kg) Estimated BF (%) Fat Mass (kg) Lean Mass (kg)

BF at Weight Calculator: Understand Your Body Composition

Understanding your body composition, specifically your body fat percentage (BF%), is crucial for assessing your overall health and fitness. While the number on the scale tells you your total mass, it doesn't differentiate between fat mass and lean mass (muscle, bone, organs). Our BF at Weight Calculator provides a convenient way to estimate your body fat percentage using widely accepted formulas, helping you gain deeper insights beyond just your weight.

What is BF at Weight Calculator?

A BF at Weight Calculator is a tool designed to estimate your body fat percentage based on several key body measurements, including weight, height, age, gender, and specific circumference measurements (waist, neck, and hip for women). Unlike simple weight tracking, this calculator helps you understand the proportion of your body weight that is fat versus lean tissue. This distinction is vital because high body fat percentage is linked to various health risks, while adequate lean mass is essential for metabolism and physical function.

Who should use it?

  • Individuals looking to track progress beyond just weight loss or gain.
  • Athletes and fitness enthusiasts aiming to optimize body composition for performance.
  • Anyone concerned about their health and seeking a more comprehensive view of their physical well-being.
  • People who want to understand the impact of lifestyle changes on their body fat levels.

Common Misconceptions:

  • "Lower weight always means lower body fat." Not necessarily. You can lose muscle mass while trying to lose weight, which might not improve your body fat percentage.
  • "All fat is bad." Essential body fat is necessary for hormone production, insulation, and nutrient absorption. The concern is with excess body fat.
  • "Calculators are as accurate as clinical methods." While useful for estimation and tracking trends, these calculators are less precise than methods like DEXA scans or hydrostatic weighing.

BF at Weight Calculator Formula and Mathematical Explanation

The most common method used in BF at Weight Calculators is the US Navy Body Fat Formula. This method uses circumference measurements and height to estimate body density, from which body fat percentage is derived. Different formulas exist, but the US Navy method is widely adopted due to its relative simplicity and accessibility of required measurements.

The US Navy Formula Breakdown:

The core idea is to relate body measurements to body density. Higher circumference measurements relative to height often indicate higher body fat.

  • For Men:
  • Body Density = 1.0324 – (0.19077 * log10(Waist – Neck)) + (0.15456 * log10(Height))

    Body Fat % = (495 / Body Density) – 450

  • For Women:
  • Body Density = 1.29579 – (0.35004 * log10(Hip + Waist – Neck)) + (0.22100 * log10(Height))

    Body Fat % = (495 / Body Density) – 450

Note: The 'log10' function represents the base-10 logarithm.

Variable Explanations

Here's a breakdown of the variables used in the calculation:

Variable Meaning Unit Typical Range
Weight Total body mass. Kilograms (kg) 30 – 200+ kg
Height Standing height. Centimeters (cm) 140 – 200 cm
Age Individual's age. Years 18 – 80+ years
Gender Biological sex (influences formula constants). Male / Female N/A
Waist Circumference around the narrowest part of the torso, typically at navel level. Centimeters (cm) 60 – 150 cm
Neck Circumference around the base of the neck. Centimeters (cm) 30 – 50 cm
Hip Circumference around the widest part of the hips/buttocks (for women). Centimeters (cm) 80 – 130 cm
BF% Estimated Body Fat Percentage. Percent (%) 5 – 50+%
Lean Body Mass (LBM) Total weight minus fat mass. Kilograms (kg) Varies greatly based on total weight and BF%.
Fat Mass The portion of total weight that is fat. Kilograms (kg) Varies greatly based on total weight and BF%.
BMR Basal Metabolic Rate – calories burned at rest. Kilocalories (kcal) 1000 – 2500+ kcal

Calculating Lean Mass, Fat Mass, and BMR

Once the body fat percentage (BF%) is estimated, we can calculate other important metrics:

  • Fat Mass: This is the absolute amount of fat in your body. It's calculated as: Fat Mass = Total Weight * (BF% / 100).
  • Lean Body Mass (LBM): This represents everything in your body that isn't fat. It includes muscle, bone, organs, and water. It's calculated as: LBM = Total Weight - Fat Mass.
  • Basal Metabolic Rate (BMR): This is the number of calories your body burns at rest to maintain basic functions. The Mifflin-St Jeor equation is commonly used:
    • For Men: BMR = (10 * weight in kg) + (6.25 * height in cm) – (5 * age in years) + 5
    • For Women: BMR = (10 * weight in kg) + (6.25 * height in cm) – (5 * age in years) – 161

Practical Examples (Real-World Use Cases)

Example 1: A Fitness Enthusiast Male

Inputs:

  • Weight: 80 kg
  • Height: 180 cm
  • Age: 28 years
  • Gender: Male
  • Waist: 85 cm
  • Neck: 37 cm
  • Hip: N/A (not used for males)

Calculation Steps (Simplified):

  1. Calculate Body Density for Men: BD = 1.0324 - (0.19077 * log10(85 - 37)) + (0.15456 * log10(180)) BD = 1.0324 - (0.19077 * log10(48)) + (0.15456 * log10(180)) BD = 1.0324 - (0.19077 * 1.6817) + (0.15456 * 2.2553) BD = 1.0324 - 0.3208 + 0.3485 = 1.0591
  2. Calculate Body Fat Percentage: BF% = (495 / 1.0591) - 450 BF% = 467.38 - 450 = 17.38%
  3. Calculate Fat Mass: Fat Mass = 80 kg * (17.38 / 100) = 13.90 kg
  4. Calculate Lean Body Mass: LBM = 80 kg - 13.90 kg = 66.10 kg
  5. Calculate BMR (Mifflin-St Jeor): BMR = (10 * 80) + (6.25 * 180) - (5 * 28) + 5 BMR = 800 + 1125 - 140 + 5 = 1790 kcal

Results Interpretation: This individual has an estimated 17.38% body fat. This is generally considered within a healthy to athletic range for men. His lean mass is substantial (66.10 kg), indicating good muscle development. His BMR of 1790 kcal suggests the baseline calories his body needs at rest.

Example 2: A Woman Tracking Weight Loss

Inputs:

  • Weight: 65 kg
  • Height: 165 cm
  • Age: 45 years
  • Gender: Female
  • Waist: 78 cm
  • Neck: 34 cm
  • Hip: 102 cm

Calculation Steps (Simplified):

  1. Calculate Body Density for Women: BD = 1.29579 - (0.35004 * log10(102 + 78 - 34)) + (0.22100 * log10(165)) BD = 1.29579 - (0.35004 * log10(146)) + (0.22100 * log10(165)) BD = 1.29579 - (0.35004 * 2.1644) + (0.22100 * 2.2175) BD = 1.29579 - 0.7581 + 0.4890 = 1.0267
  2. Calculate Body Fat Percentage: BF% = (495 / 1.0267) - 450 BF% = 482.12 - 450 = 32.12%
  3. Calculate Fat Mass: Fat Mass = 65 kg * (32.12 / 100) = 20.88 kg
  4. Calculate Lean Body Mass: LBM = 65 kg - 20.88 kg = 44.12 kg
  5. Calculate BMR (Mifflin-St Jeor): BMR = (10 * 65) + (6.25 * 165) - (5 * 45) - 161 BMR = 650 + 1031.25 - 225 - 161 = 1295.25 kcal

Results Interpretation: This individual has an estimated 32.12% body fat. For women, this falls into the 'average' to 'overweight' category depending on age and fitness goals. Focusing on reducing body fat while preserving or increasing lean mass (through strength training and a balanced diet) would be beneficial for her health. Her BMR is approximately 1295 kcal.

How to Use This BF at Weight Calculator

Using the BF at Weight Calculator is straightforward. Follow these steps for accurate results:

  1. Gather Your Measurements: Ensure you have an accurate measuring tape. Measure your weight (preferably in the morning before eating), height, age, waist circumference (at navel level), neck circumference (at the base), and hip circumference (at the widest point, for women only).
  2. Enter Your Data: Input your measurements into the corresponding fields in the calculator. Double-check that you are using the correct units (kg for weight, cm for height and circumferences).
  3. Select Gender: Choose your gender, as the formula constants differ between males and females.
  4. Calculate: Click the "Calculate BF" button.
  5. Interpret Results: The calculator will display your estimated Body Fat Percentage (BF%), Fat Mass, Lean Body Mass (LBM), and Basal Metabolic Rate (BMR).

How to Read Results:

  • BF%: This is the primary output. Compare it to general health guidelines for your age and gender. Remember that trends over time are more important than a single reading.
  • Fat Mass & Lean Mass: These give you a clearer picture of your body composition. A healthy goal is often to decrease fat mass while maintaining or increasing lean mass.
  • BMR: This helps estimate your daily calorie needs. You'll need to factor in activity levels to determine your total daily energy expenditure (TDEE).

Decision-Making Guidance:

  • If your BF% is higher than desired, consider focusing on a combination of a calorie-controlled diet and regular exercise (both cardiovascular and strength training).
  • If your BF% is low and you're an athlete, ensure you're consuming enough calories and nutrients to support performance and recovery.
  • Use the calculator periodically (e.g., monthly) to track progress and adjust your fitness and nutrition strategies.

Key Factors That Affect BF at Weight Calculator Results

While the US Navy formula is a good estimation tool, several factors can influence its accuracy and your actual body composition:

  1. Measurement Accuracy: Inconsistent or incorrect measurements (e.g., not measuring at the correct body landmarks, tape too tight/loose) are the most common source of error.
  2. Body Fat Distribution: The formula assumes a certain distribution of fat. Individuals with unusual fat storage patterns might get less accurate results.
  3. Hydration Levels: Significant fluctuations in body water can temporarily affect weight and, to a lesser extent, circumference measurements.
  4. Muscle Mass: Very high muscle mass can sometimes skew circumference-based formulas, potentially leading to an underestimation of BF%.
  5. Age-Related Changes: Body composition naturally changes with age. Muscle mass tends to decrease, and fat distribution can shift, which the formula accounts for partially through age constants but may not perfectly capture individual variations.
  6. Genetics: Your genetic makeup plays a significant role in where your body stores fat and your natural metabolic rate.
  7. Recent Exercise or Food Intake: Measuring immediately after a heavy meal or intense workout can slightly alter measurements.
  8. Formula Limitations: The US Navy method is an estimation. It doesn't account for visceral fat (fat around organs) as directly as some other methods.

Frequently Asked Questions (FAQ)

What is the most accurate way to measure body fat?

The most accurate methods are clinical assessments like DEXA scans (Dual-energy X-ray absorptiometry), hydrostatic weighing (underwater weighing), and Bod Pod (air displacement plethysmography). Caliper-based methods and bioelectrical impedance analysis (BIA) scales offer less accuracy but are more accessible.

Can I use this calculator if I'm pregnant?

No, this calculator is not suitable for pregnant individuals. Body measurements change significantly during pregnancy, and specific formulas are required for accurate assessment.

How often should I use the BF at Weight Calculator?

For tracking progress, using the calculator once a month is generally recommended. This allows enough time for lifestyle changes to manifest in your measurements without being affected by daily fluctuations.

What is a healthy body fat percentage?

Healthy ranges vary by age and gender. Generally, for adult men, 10-20% is considered healthy, while for adult women, 18-28% is often cited. Athletes may have lower percentages. Consult with a healthcare professional for personalized guidance.

Does weight loss always mean fat loss?

Not necessarily. When you lose weight, you can lose both fat mass and lean mass (like muscle). Sustainable and healthy weight loss focuses on reducing fat mass while preserving lean mass through balanced nutrition and strength training.

Why is hip circumference only for women?

The US Navy formula uses different constants and variables for men and women because body fat distribution patterns differ significantly. For women, the hip measurement is a key indicator of lower body fat distribution, which is incorporated into their specific formula.

Can I use inches and pounds instead of cm and kg?

This specific calculator is designed for metric units (cm and kg). You would need to convert your measurements before entering them, or use a calculator specifically designed for imperial units.

What does 'log10' mean in the formula?

'log10' stands for the base-10 logarithm. It's a mathematical function that determines what power you need to raise 10 to in order to get a certain number. For example, log10(100) = 2 because 10^2 = 100.

© 2023 Your Website Name. All rights reserved.

var chartInstance = null; // Global variable to hold chart instance function getElement(id) { return document.getElementById(id); } function validateInput(inputId, errorId, minValue, maxValue, isRequired = true) { var input = getElement(inputId); var errorElement = getElement(errorId); var value = parseFloat(input.value); var isValid = true; errorElement.classList.remove('visible'); input.style.borderColor = '#ddd'; if (isRequired && (input.value.trim() === " || isNaN(value))) { errorElement.textContent = 'This field is required.'; errorElement.classList.add('visible'); input.style.borderColor = '#dc3545'; isValid = false; } else if (!isNaN(value)) { if (minValue !== null && value maxValue) { errorElement.textContent = 'Value is too high.'; errorElement.classList.add('visible'); input.style.borderColor = '#dc3545'; isValid = false; } } return isValid; } function calculateBF() { var weightInput = getElement('weight'); var heightInput = getElement('height'); var ageInput = getElement('age'); var genderSelect = getElement('gender'); var waistInput = getElement('waist'); var neckInput = getElement('neck'); var hipInput = getElement('hip'); var resultsSection = getElement('resultsSection'); var weight = parseFloat(weightInput.value); var height = parseFloat(heightInput.value); var age = parseFloat(ageInput.value); var gender = genderSelect.value; var waist = parseFloat(waistInput.value); var neck = parseFloat(neckInput.value); var hip = parseFloat(hipInput.value); var isValid = true; isValid = validateInput('weight', 'weightError', 0, null) && isValid; isValid = validateInput('height', 'heightError', 0, null) && isValid; isValid = validateInput('age', 'ageError', 0, 120) && isValid; isValid = validateInput('waist', 'waistError', 0, null) && isValid; isValid = validateInput('neck', 'neckError', 0, null) && isValid; if (gender === 'female') { isValid = validateInput('hip', 'hipError', 0, null) && isValid; } else { getElement('hipError').classList.remove('visible'); hipInput.style.borderColor = '#ddd'; } if (!isValid) { resultsSection.style.display = 'none'; return; } var bfPercentage, bodyDensity, leanMass, fatMass, bmr; var log10 = Math.log10; if (gender === 'male') { bodyDensity = 1.0324 – (0.19077 * log10(waist – neck)) + (0.15456 * log10(height)); bfPercentage = (495 / bodyDensity) – 450; } else { // female bodyDensity = 1.29579 – (0.35004 * log10(hip + waist – neck)) + (0.22100 * log10(height)); bfPercentage = (495 / bodyDensity) – 450; } // Ensure BF% is within a reasonable range bfPercentage = Math.max(5, Math.min(bfPercentage, 60)); // Clamp between 5% and 60% fatMass = weight * (bfPercentage / 100); leanMass = weight – fatMass; // Calculate BMR using Mifflin-St Jeor if (gender === 'male') { bmr = (10 * weight) + (6.25 * height) – (5 * age) + 5; } else { bmr = (10 * weight) + (6.25 * height) – (5 * age) – 161; } getElement('mainResult').textContent = bfPercentage.toFixed(2) + '%'; getElement('leanMass').textContent = leanMass.toFixed(2) + ' kg'; getElement('fatMass').textContent = fatMass.toFixed(2) + ' kg'; getElement('bmr').textContent = bmr.toFixed(2) + ' kcal'; resultsSection.style.display = 'block'; updateChartAndTable(weight, bfPercentage, fatMass, leanMass); } function updateChartAndTable(currentWeight, currentBf, currentFatMass, currentLeanMass) { var tableBody = getElement('bfTableBody'); tableBody.innerHTML = "; // Clear previous rows var chartData = []; var weights = [currentWeight – 10, currentWeight – 5, currentWeight, currentWeight + 5, currentWeight + 10]; var bfPercentages = []; var fatMasses = []; var leanMasses = []; // Generate sample data for the chart and table for (var i = 0; i < weights.length; i++) { var w = weights[i]; if (w <= 0) continue; // Re-calculate BF% for demonstration purposes, assuming other factors scale proportionally // This is a simplification for visualization. Real BF% changes are complex. var estimatedBf; var gender = getElement('gender').value; var height = parseFloat(getElement('height').value); var waist = parseFloat(getElement('waist').value); var neck = parseFloat(getElement('neck').value); var hip = parseFloat(getElement('hip').value); var log10 = Math.log10; // Simplified scaling – assumes circumference scales with weight, which isn't perfectly accurate var scaleFactor = w / currentWeight; var scaledWaist = waist * scaleFactor; var scaledNeck = neck * scaleFactor; var scaledHip = hip * scaleFactor; try { if (gender === 'male') { var bd = 1.0324 – (0.19077 * log10(scaledWaist – scaledNeck)) + (0.15456 * log10(height)); estimatedBf = (495 / bd) – 450; } else { var bd = 1.29579 – (0.35004 * log10(scaledHip + scaledWaist – scaledNeck)) + (0.22100 * log10(height)); estimatedBf = (495 / bd) – 450; } estimatedBf = Math.max(5, Math.min(estimatedBf, 60)); // Clamp } catch (e) { estimatedBf = currentBf; // Fallback if calculation fails } var currentFatMass = w * (estimatedBf / 100); var currentLeanMass = w – currentFatMass; bfPercentages.push(estimatedBf); fatMasses.push(currentFatMass); leanMasses.push(currentLeanMass); // Add row to table var row = tableBody.insertRow(); row.insertCell(0).textContent = w.toFixed(1); row.insertCell(1).textContent = estimatedBf.toFixed(2) + '%'; row.insertCell(2).textContent = currentFatMass.toFixed(2) + ' kg'; row.insertCell(3).textContent = currentLeanMass.toFixed(2) + ' kg'; } // Update chart if (chartInstance) { chartInstance.destroy(); } var ctx = getElement('bfChart').getContext('2d'); chartInstance = new Chart(ctx, { type: 'line', data: { labels: weights.map(function(w) { return w.toFixed(0); }), datasets: [{ label: 'Body Fat %', data: bfPercentages, borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: true, tension: 0.1 }, { label: 'Lean Mass (kg)', data: leanMasses, borderColor: 'var(–success-color)', backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: true, tension: 0.1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: false } } } }); } function resetForm() { getElement('weight').value = '75'; getElement('height').value = '175'; getElement('age').value = '30'; getElement('gender').value = 'male'; getElement('waist').value = '90'; getElement('neck').value = '38'; getElement('hip').value = '100'; getElement('mainResult').textContent = '–.–%'; getElement('leanMass').textContent = '–.– kg'; getElement('fatMass').textContent = '–.– kg'; getElement('bmr').textContent = '–.– kcal'; getElement('resultsSection').style.display = 'none'; getElement('bfTableBody').innerHTML = ''; // Clear table if (chartInstance) { chartInstance.destroy(); chartInstance = null; } // Clear errors getElement('weightError').classList.remove('visible'); getElement('heightError').classList.remove('visible'); getElement('ageError').classList.remove('visible'); getElement('waistError').classList.remove('visible'); getElement('neckError').classList.remove('visible'); getElement('hipError').classList.remove('visible'); getElement('weight').style.borderColor = '#ddd'; getElement('height').style.borderColor = '#ddd'; getElement('age').style.borderColor = '#ddd'; getElement('waist').style.borderColor = '#ddd'; getElement('neck').style.borderColor = '#ddd'; getElement('hip').style.borderColor = '#ddd'; } function copyResults() { var mainResult = getElement('mainResult').textContent; var leanMass = getElement('leanMass').textContent; var fatMass = getElement('fatMass').textContent; var bmr = getElement('bmr').textContent; var assumptions = "Key Assumptions:\n"; assumptions += "- Formula: US Navy Method\n"; assumptions += "- BMR Formula: Mifflin-St Jeor\n"; assumptions += "- Measurements used: Weight, Height, Age, Gender, Waist, Neck" + (getElement('gender').value === 'female' ? ", Hip" : "") + "\n"; var textToCopy = "— Body Fat Calculation Results —\n"; textToCopy += "Estimated Body Fat: " + mainResult + "\n"; textToCopy += "Lean Body Mass: " + leanMass + "\n"; textToCopy += "Fat Mass: " + fatMass + "\n"; textToCopy += "Basal Metabolic Rate (BMR): " + bmr + "\n\n"; textToCopy += assumptions; navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy: ', err); alert('Failed to copy results. Please copy manually.'); }); } function toggleFaq(element) { var content = element.nextElementSibling; var isVisible = content.classList.contains('visible'); content.classList.toggle('visible'); element.setAttribute('aria-expanded', !isVisible); } // Initial setup for FAQ accessibility document.addEventListener('DOMContentLoaded', function() { var faqItems = document.querySelectorAll('.faq-item strong'); faqItems.forEach(function(item) { item.setAttribute('role', 'button'); item.setAttribute('aria-expanded', 'false'); item.setAttribute('tabindex', '0'); item.addEventListener('keydown', function(event) { if (event.key === 'Enter' || event.key === ' ') { event.preventDefault(); toggleFaq(item); } }); }); // Initialize chart on load if there are default values if (getElement('weight').value && getElement('height').value && getElement('age').value && getElement('waist').value && getElement('neck').value) { // Don't auto-calculate on load, wait for user interaction } }); // Chart.js library is required for the canvas chart. // In a real WordPress environment, you'd enqueue this script properly. // For this standalone HTML, we'll assume Chart.js is available globally. // If not, you'd need to include the Chart.js CDN link in the . // Example CDN: // Add Chart.js CDN if not present (for standalone testing) if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js'; document.head.appendChild(script); }

Leave a Comment