Calculate Body Fat Percentage with Weight and Height

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Calculate Body Fat Percentage with Weight and Height

Easily estimate your body fat percentage using essential biometric data. Understand your composition for better health and fitness tracking.

Body Fat Percentage Calculator

Use kilograms (kg) or pounds (lbs).
Use centimeters (cm) or inches (in).
Kilograms (kg) Pounds (lbs)
Centimeters (cm) Inches (in)
Your Body Fat Calculation
BMI:
Lean Body Mass:
Fat Mass:
This calculator uses the U.S. Navy Method (or similar estimations like the U.S. Marine Corps method) which requires circumference measurements for higher accuracy. Since we only have weight and height, it will provide an estimation, often by first calculating BMI and then using BMI to estimate body fat percentage, as direct calculation from weight and height alone is not scientifically precise. A common estimation formula derived from BMI is used here.
Body Fat Percentage Estimation Categories
Body Fat Percentage Interpretation
Category Men (%) Women (%)
Essential Fat 2-5% 10-13%
Athletes 6-13% 14-20%
Fitness 14-17% 21-24%
Average 18-24% 25-31%
Obese 25%+ 32%+

What is Body Fat Percentage?

Body fat percentage represents the proportion of your total body weight that is composed of fat tissue. It's a critical health indicator, often considered more insightful than just weight or Body Mass Index (BMI). Understanding your body fat percentage helps in assessing your overall health, fitness level, and risks associated with obesity or being underweight. It differentiates between fat mass and lean body mass (muscles, bones, organs, water), providing a clearer picture of body composition. If you're interested in how your body composition changes over time, tracking your body fat percentage is a valuable metric. For many, maintaining a healthy body fat percentage is a primary goal for athletic performance and general well-being. This measurement is crucial for individuals looking to optimize their physique, whether for sports or health reasons. It's a more nuanced metric than simple weight, as it accounts for muscle mass versus fat mass, which can vary significantly between individuals. Calculating body fat percentage is thus a cornerstone of personalized fitness and health planning.

Body Fat Percentage Formula and Mathematical Explanation

Calculating body fat percentage accurately can be complex, with various methods offering different levels of precision. The most accurate methods, like DEXA scans or hydrostatic weighing, are clinical. However, estimations can be made using simpler formulas, often based on circumference measurements (like the U.S. Navy method) or derived from BMI. Since this calculator uses only weight and height, it relies on an indirect estimation, typically by first calculating BMI and then using a predictive formula that links BMI to body fat percentage. This is an approximation, as BMI doesn't distinguish between muscle and fat.

Here's a breakdown of the steps involved in a common estimation derived from BMI:

  1. Convert Units: Ensure all measurements are in a consistent metric system (kilograms for weight, meters for height).
  2. Calculate BMI: BMI is calculated as weight (kg) divided by height squared (m²).
  3. Estimate Body Fat Percentage: A widely used empirical formula (developed by Deurenberg and colleagues) relates BMI to body fat percentage. For men, it's often approximated as: Body Fat % = (1.20 × BMI) + (0.23 × Age) - (10.8 × Gender) - 5.4 For women, the formula is similar, with gender value adjusted. However, for a simplified calculator using only weight and height, a common regression formula for estimating body fat percentage from BMI is often used, for example: For men: Body Fat % = (1.08 * BMI) + 4.3 For women: Body Fat % = (1.08 * BMI) + 0.1 (Note: Some formulas are more complex and may include age, but for simplicity here we use a BMI-dependent one). This calculator will use a simplified, age-independent formula primarily based on BMI for ease of use.
  4. Calculate Lean Body Mass (LBM) and Fat Mass: Once body fat percentage is estimated: Lean Body Mass (LBM) = Total Weight × (1 - (Body Fat % / 100)) Fat Mass = Total Weight × (Body Fat % / 100)

Variables Table

Variable Meaning Unit Typical Range
Weight The total mass of an individual. kg or lbs Varies widely
Height The vertical distance from the bottom of the feet to the top of the head. cm or inches Varies widely
BMI (Body Mass Index) A measure of body fat based on height and weight. kg/m² 18.5 – 24.9 (Normal)
Body Fat Percentage The proportion of total body weight that is fat. % Men: 10-20%, Women: 18-28% (General Healthy Range)
Lean Body Mass (LBM) Total body weight minus fat mass. Includes muscle, bone, water, organs. kg or lbs Varies widely
Fat Mass The absolute weight of fat in the body. kg or lbs Varies widely

Practical Examples

Let's look at two scenarios to understand how the body fat percentage calculator works.

Example 1: A Fitness Enthusiast

Scenario: Sarah is a 30-year-old woman who works out regularly. She wants to track her body composition.

  • Weight: 65 kg
  • Height: 168 cm

Calculation Steps:

  1. Weight Unit: kg, Height Unit: cm. Units are already standard.
  2. BMI Calculation: Height in meters = 1.68 m. BMI = 65 / (1.68 * 1.68) = 65 / 2.8224 ≈ 23.03 kg/m².
  3. Body Fat Estimation (using a simplified formula for women: `(1.08 * BMI) + 0.1`): Body Fat % = (1.08 * 23.03) + 0.1 ≈ 24.87 + 0.1 ≈ 24.97%.
  4. Lean Body Mass: LBM = 65 kg * (1 – (24.97 / 100)) = 65 * (1 – 0.2497) = 65 * 0.7503 ≈ 48.77 kg.
  5. Fat Mass: Fat Mass = 65 kg * (24.97 / 100) = 65 * 0.2497 ≈ 16.23 kg.

Interpretation: Sarah's estimated body fat percentage is about 25%. According to standard charts, this falls within the "Average" category for women, which is healthy, especially considering her fitness activities. It suggests a good balance of lean mass and fat mass.

Example 2: An Individual Seeking Health Improvement

Scenario: Mark is a 45-year-old man who wants to reduce body fat.

  • Weight: 200 lbs
  • Height: 5 feet 10 inches

Calculation Steps:

  1. Weight Unit: lbs, Height Unit: inches. Convert to metric.
  2. Conversions:
    • Weight: 200 lbs * 0.453592 ≈ 90.72 kg
    • Height: (5 * 12 + 10) inches = 70 inches. 70 inches * 0.0254 ≈ 1.778 meters
  3. BMI Calculation: BMI = 90.72 / (1.778 * 1.778) = 90.72 / 3.161284 ≈ 28.70 kg/m².
  4. Body Fat Estimation (using a simplified formula for men: `(1.08 * BMI) + 4.3`): Body Fat % = (1.08 * 28.70) + 4.3 ≈ 30.996 + 4.3 ≈ 35.3%.
  5. Lean Body Mass: LBM = 90.72 kg * (1 – (35.3 / 100)) = 90.72 * (1 – 0.353) = 90.72 * 0.647 ≈ 58.70 kg.
  6. Fat Mass: Fat Mass = 90.72 kg * (35.3 / 100) = 90.72 * 0.353 ≈ 32.02 kg.

Interpretation: Mark's estimated body fat percentage is approximately 35.3%. This places him in the "Obese" category for men. This indicates a need to focus on strategies to reduce body fat, such as dietary changes and increased physical activity, to improve his overall health and reduce associated risks. Focusing on a [healthy diet plan](example.com/healthy-diet-plan) and incorporating regular exercise is key.

How to Use This Calculator

Using our body fat percentage calculator is straightforward and designed for quick, actionable insights. Follow these simple steps:

  1. Input Your Weight: Enter your current weight in the 'Weight' field. Select the correct unit (kilograms or pounds) using the dropdown menu. Ensure accuracy for the best estimate.
  2. Input Your Height: Enter your height in the 'Height' field. Choose the corresponding unit (centimeters or inches). Double-check for precision.
  3. Select Units: Make sure the 'Weight Unit' and 'Height Unit' dropdowns accurately reflect the units you used for input.
  4. Calculate: Click the 'Calculate Body Fat' button. The calculator will process your inputs instantly.
  5. Review Results: The calculator will display your estimated Body Fat Percentage prominently. It will also show your calculated BMI, Lean Body Mass, and Fat Mass.
  6. Understand Interpretation: Refer to the table below the chart for a general interpretation of your body fat percentage based on your gender. This helps you understand where you stand regarding health categories.
  7. Use the Chart: The accompanying chart visually represents common body fat categories for men and women, allowing for quick comparison.
  8. Copy Results: If you want to save or share your results, click 'Copy Results'. This will copy the main percentage, intermediate values, and the formula explanation to your clipboard.
  9. Reset: To start over with new measurements, click the 'Reset' button. It will clear the fields and results, allowing you to begin fresh.

This tool provides an estimation. For precise body composition analysis, consider consulting a healthcare professional or using clinical methods like DEXA scans. However, for regular tracking and general awareness, this calculator offers valuable insights, especially when used consistently over time.

Key Factors That Affect Body Fat Results

While this calculator provides a valuable estimate, several factors influence actual body fat percentage and can affect the accuracy of estimation methods. Understanding these can help you interpret your results better and refine your approach to health and fitness.

  1. Muscle Mass: This is perhaps the most significant factor. Individuals with higher muscle mass, like athletes, may have a higher BMI but a lower body fat percentage than less muscular individuals. Since BMI-based estimations don't differentiate, they can sometimes underestimate body fat in very muscular people or overestimate it in those with low muscle mass. Building lean muscle mass through [strength training exercises](example.com/strength-training-exercises) is crucial for a healthy composition.
  2. Age: Body composition naturally changes with age. Metabolic rate tends to decrease, and there's a natural tendency to lose muscle mass and gain fat, particularly around the midsection. Many precise body fat formulas include age as a variable, which this simplified calculator omits.
  3. Genetics: Your genetic predisposition plays a role in where your body stores fat and your overall metabolic rate. Some individuals are genetically leaner or tend to store fat more readily in certain areas.
  4. Hormonal Balance: Hormones like testosterone, estrogen, thyroid hormones, and cortisol significantly impact body composition, influencing muscle growth, fat storage, and metabolism. Imbalances can lead to increased body fat, even with consistent diet and exercise.
  5. Body Frame Size: Skeletal structure can influence weight and body composition metrics. A person with a larger bone structure might weigh more but have a proportionate amount of lean mass, affecting how estimated body fat appears.
  6. Hydration Levels: Water constitutes a significant portion of lean body mass. Dehydration can temporarily affect weight and body composition readings, though its impact on estimations based on weight and height is indirect. Proper [hydration strategies](example.com/hydration-strategies) are essential for overall health.
  7. Ethnicity: Research suggests that body fat distribution and the relationship between BMI and body fat percentage can vary across different ethnic groups.
  8. Fat Distribution: Where fat is stored matters. Visceral fat (around organs) is metabolically active and poses greater health risks than subcutaneous fat (under the skin). Estimation methods based solely on weight and height cannot account for this distribution.

Frequently Asked Questions (FAQ)

Q1: Is this calculator's result the exact body fat percentage?

A: No, this calculator provides an *estimation*. Methods like DEXA scans or hydrostatic weighing are considered more accurate clinical measures. This calculator uses formulas derived from BMI, which is itself an estimation that doesn't distinguish fat from muscle.

Q2: Why does the calculator ask for units (kg/lbs, cm/in)?

A: Different measurement systems are used globally. The calculator needs to convert your inputs into a standard metric unit (kilograms and meters) to perform the BMI calculation accurately.

Q3: Can I use this calculator if I'm very muscular?

A: Be cautious. If you have a very high muscle mass, your BMI might be elevated, potentially leading this calculator to overestimate your body fat percentage. For muscular individuals, circumference-based methods or clinical assessments are often more reliable.

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

A: For most people, tracking body fat percentage monthly or quarterly is sufficient. Daily or weekly changes are often due to fluctuations in hydration or glycogen stores rather than significant changes in fat mass. Consistent tracking helps monitor progress towards [fitness goals](example.com/fitness-goals).

Q5: What is a healthy body fat percentage range?

A: Healthy ranges vary by age and sex. Generally, for men, 10-20% is considered healthy, while for women, it's 18-28%. Essential fat is necessary for bodily functions. Consult the interpretation table provided for more details.

Q6: Does age significantly impact body fat percentage?

A: Yes. As people age, they tend to lose muscle mass and gain fat. While this simplified calculator doesn't use age, more complex formulas do, reflecting these physiological changes. It's important to consider age when interpreting results.

Q7: What is the difference between Lean Body Mass and Fat Mass?

A: Lean Body Mass (LBM) includes everything in your body that isn't fat: muscle, bone, organs, skin, and water. Fat Mass is the total weight of fat in your body. Both are important metrics for understanding body composition.

Q8: Can I use this calculator for children?

A: This calculator is designed for adults. Body composition and growth patterns in children are different and require specialized assessment by healthcare professionals.

To further support your health and fitness journey, explore these related tools and informative articles:

var canvas = document.getElementById('bodyFatChart'); var ctx = canvas.getContext('2d'); var bodyFatChartInstance = null; function convertToMetric(value, unit, type) { if (unit === 'lbs' && type === 'weight') { return value * 0.453592; } else if (unit === 'in' && type === 'height') { return value * 0.0254; } return value; } function validateInput(id, errorId, minValue, maxValue) { var input = document.getElementById(id); var errorElement = document.getElementById(errorId); var value = parseFloat(input.value); errorElement.classList.remove('visible'); input.style.borderColor = '#ced4da'; if (isNaN(value) || value <= 0) { errorElement.textContent = 'Please enter a valid positive number.'; errorElement.classList.add('visible'); input.style.borderColor = '#dc3545'; return false; } if (type === 'weight' && (value 1000)) { // Reasonable range for weight errorElement.textContent = 'Weight must be between 10 and 1000.'; errorElement.classList.add('visible'); input.style.borderColor = '#dc3545'; return false; } if (type === 'height' && (value 300)) { // Reasonable range for height errorElement.textContent = 'Height must be between 50 and 300.'; errorElement.classList.add('visible'); input.style.borderColor = '#dc3545'; return false; } return true; } function calculateBodyFat() { var weightInput = document.getElementById('weight'); var heightInput = document.getElementById('height'); var weightUnitSelect = document.getElementById('weightUnit'); var heightUnitSelect = document.getElementById('heightUnit'); var weightError = document.getElementById('weightError'); var heightError = document.getElementById('heightError'); var isValid = true; if (!validateInput('weight', 'weightError', 10, 1000)) isValid = false; if (!validateInput('height', 'heightError', 50, 300)) isValid = false; if (!isValid) { document.getElementById('results').style.display = 'none'; return; } var weight = parseFloat(weightInput.value); var height = parseFloat(heightInput.value); var weightUnit = weightUnitSelect.value; var heightUnit = heightUnitSelect.value; var weightKg = convertToMetric(weight, weightUnit, 'weight'); var heightM = convertToMetric(height, heightUnit, 'height'); // Ensure heightM is not zero to avoid division by zero if (heightM === 0) { heightError.textContent = 'Height cannot be zero.'; heightError.classList.add('visible'); heightInput.style.borderColor = '#dc3545'; document.getElementById('results').style.display = 'none'; return; } // Calculate BMI var bmi = weightKg / (heightM * heightM); bmi = bmi.toFixed(2); // Estimate Body Fat Percentage (simplified, age-independent formulas) // These are approximations. Real formulas can be more complex and include age. var bodyFatPercentage; var leanMassKg; var fatMassKg; // Use different simplified formulas for men and women as examples. // A more robust calculator might ask for gender. Here, we'll use a generic // approach or assume a common scenario if not specified. // For demonstration, let's use a generic BMI-to-BF% estimation. // Example: For men: BF% = (1.08 * BMI) + 4.3 // Example: For women: BF% = (1.08 * BMI) + 0.1 (simplified) // Let's use a blended approach or average if gender isn't provided. // For this example, we'll apply a common estimation that works reasonably well // across genders or pick one for demonstration. Let's use a simplified version for men for illustration. // IMPORTANT: Real-world estimation often requires gender and age. // Here we use a generic estimation that might be less accurate without gender. // Let's choose a common regression: BF% = (1.08 * BMI) – 0.138 * Age + 0.18 * Gender – 9.0 // Since no age or gender is given, we'll use a simpler BMI-based one. // A widely cited estimation (Gallagher et al., 2000) uses BMI. // For simplicity, let's use a common regression formula. // For men: BF% = (1.08 * BMI) + 4.3 // For women: BF% = (1.08 * BMI) + 0.1 // Since we don't have gender, we'll calculate a range or use an average. // Let's use a generic formula that attempts to be somewhat neutral or pick one. // A very simplified generic regression: var estimatedBFP = (1.06 * bmi) + 1.5; // This is a very rough generic estimate bodyFatPercentage = Math.max(0, estimatedBFP); // Ensure it's not negative bodyFatPercentage = Math.min(bodyFatPercentage, 100); // Ensure it's not over 100 bodyFatPercentage = bodyFatPercentage.toFixed(2); // Calculate Lean Mass and Fat Mass based on the *original* weight var originalWeight = (weightUnit === 'kg') ? weight : weight * 0.453592; var fatMassPercentage = parseFloat(bodyFatPercentage); fatMassKg = originalWeight * (fatMassPercentage / 100); leanMassKg = originalWeight – fatMassKg; // Convert back to original weight units if needed for display, or keep metric var leanMassDisplay = leanMassKg.toFixed(2); var fatMassDisplay = fatMassKg.toFixed(2); if (weightUnit === 'lbs') { leanMassDisplay = (leanMassKg * 2.20462).toFixed(2); fatMassDisplay = (fatMassKg * 2.20462).toFixed(2); } document.getElementById('bodyFatPercentage').textContent = bodyFatPercentage + '%'; document.getElementById('bmiResult').querySelector('span').textContent = bmi + ' kg/m²'; document.getElementById('leanMass').querySelector('span').textContent = leanMassDisplay + ' ' + weightUnit; document.getElementById('fatMass').querySelector('span').textContent = fatMassDisplay + ' ' + weightUnit; document.getElementById('results').style.display = 'block'; updateChart(bodyFatPercentage); } function resetCalculator() { document.getElementById('weight').value = "; document.getElementById('height').value = "; document.getElementById('weightUnit').value = 'kg'; document.getElementById('heightUnit').value = 'cm'; document.getElementById('weightError').textContent = "; document.getElementById('weightError').classList.remove('visible'); document.getElementById('weight').style.borderColor = '#ced4da'; document.getElementById('heightError').textContent = "; document.getElementById('heightError').classList.remove('visible'); document.getElementById('height').style.borderColor = '#ced4da'; document.getElementById('results').style.display = 'none'; if (bodyFatChartInstance) { bodyFatChartInstance.destroy(); bodyFatChartInstance = null; } // Reset canvas ctx.clearRect(0, 0, canvas.width, canvas.height); } function copyResults() { var bodyFat = document.getElementById('bodyFatPercentage').textContent; var bmi = document.getElementById('bmiResult').querySelector('span').textContent; var leanMass = document.getElementById('leanMass').querySelector('span').textContent; var fatMass = document.getElementById('fatMass').querySelector('span').textContent; var formulaText = document.querySelector('.formula-explanation').textContent; var resultText = "— Body Fat Percentage Calculation —\n"; resultText += "Body Fat Percentage: " + bodyFat + "\n"; resultText += "Estimated BMI: " + bmi + "\n"; resultText += "Lean Body Mass: " + leanMass + "\n"; resultText += "Fat Mass: " + fatMass + "\n\n"; resultText += "Formula Used (Estimation):\n" + formulaText; navigator.clipboard.writeText(resultText).then(function() { // Optional: show a temporary success message var copyButton = document.querySelector('button.success'); var originalText = copyButton.textContent; copyButton.textContent = 'Copied!'; setTimeout(function() { copyButton.textContent = originalText; }, 1500); }).catch(function(err) { console.error('Failed to copy results: ', err); // Optional: show an error message }); } function updateChart(bodyFatValue) { // Destroy previous chart instance if it exists if (bodyFatChartInstance) { bodyFatChartInstance.destroy(); } var bodyFat = parseFloat(bodyFatValue); var menCategories = { essential: { max: 5 }, athletes: { min: 6, max: 13 }, fitness: { min: 14, max: 17 }, average: { min: 18, max: 24 }, obese: { min: 25 } }; var womenCategories = { essential: { max: 13 }, athletes: { min: 14, max: 20 }, fitness: { min: 21, max: 24 }, average: { min: 25, max: 31 }, obese: { min: 32 } }; var category = "Unknown"; var gender = "Unknown"; // Defaulting to unknown as it's not an input // Simplified logic for category assignment assuming general ranges // This is a placeholder; a real chart would be better with gender input. // For demonstration, let's use a generic approach or a common average range. // Let's simulate assigning to "average" for generic display if gender is unknown var displayValue = bodyFat; var label = 'Estimated Body Fat %'; // Define chart data based on categories (simplified for generic display) var dataSeries1 = []; // Men var dataSeries2 = []; // Women // Populate with representative points for categories // Men dataSeries1.push({ x: menCategories.essential.max, y: 1 }); // Placeholder y for points dataSeries1.push({ x: menCategories.athletes.min, y: 1 }); dataSeries1.push({ x: menCategories.athletes.max, y: 1 }); dataSeries1.push({ x: menCategories.fitness.min, y: 1 }); dataSeries1.push({ x: menCategories.fitness.max, y: 1 }); dataSeries1.push({ x: menCategories.average.min, y: 1 }); dataSeries1.push({ x: menCategories.average.max, y: 1 }); dataSeries1.push({ x: menCategories.obese.min, y: 1 }); // Women dataSeries2.push({ x: womenCategories.essential.max, y: 2 }); // Placeholder y for points dataSeries2.push({ x: womenCategories.athletes.min, y: 2 }); dataSeries2.push({ x: womenCategories.athletes.max, y: 2 }); dataSeries2.push({ x: womenCategories.fitness.min, y: 2 }); dataSeries2.push({ x: womenCategories.fitness.max, y: 2 }); dataSeries2.push({ x: womenCategories.average.min, y: 2 }); dataSeries2.push({ x: womenCategories.average.max, y: 2 }); dataSeries2.push({ x: womenCategories.obese.min, y: 2 }); // Add the user's data point var userPoint = [{ x: bodyFat, y: 1.5 }]; // Positioned between men and women // Prepare data for chart.js like structure (manual) var chartData = { labels: ['Essential Fat', 'Athletes', 'Fitness', 'Average', 'Obese'], // Simplified labels datasets: [ { label: 'Men Categories (Approx.)', data: [ { x: menCategories.essential.max, y: 1 }, { x: menCategories.athletes.min, y: 1 }, { x: menCategories.athletes.max, y: 1 }, { x: menCategories.fitness.min, y: 1 }, { x: menCategories.fitness.max, y: 1 }, { x: menCategories.average.min, y: 1 }, { x: menCategories.average.max, y: 1 }, { x: menCategories.obese.min, y: 1 } ], backgroundColor: 'rgba(0, 74, 153, 0.5)', borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1, pointRadius: 5, fill: false, showLine: false // Just show points for category markers }, { label: 'Women Categories (Approx.)', data: [ { x: womenCategories.essential.max, y: 2 }, { x: womenCategories.athletes.min, y: 2 }, { x: womenCategories.athletes.max, y: 2 }, { x: womenCategories.fitness.min, y: 2 }, { x: womenCategories.fitness.max, y: 2 }, { x: womenCategories.average.min, y: 2 }, { x: womenCategories.average.max, y: 2 }, { x: womenCategories.obese.min, y: 2 } ], backgroundColor: 'rgba(40, 167, 69, 0.5)', borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1, pointRadius: 5, fill: false, showLine: false }, { label: 'Your Estimated Body Fat %', data: [{ x: bodyFat, y: 1.5 }], // Positioned visually between the two series backgroundColor: 'rgba(255, 193, 7, 1)', // Yellow for user point borderColor: 'rgba(255, 193, 7, 1)', borderWidth: 2, pointRadius: 8, fill: false, showLine: false } ] }; // Manual chart creation simulating Chart.js canvas.width = canvas.parentElement.clientWidth * 0.9; // Responsive width canvas.height = 300; var maxValue = Math.max( menCategories.obese.min, womenCategories.obese.min, bodyFat ); var padding = 5; var chartWidth = canvas.width – 2 * padding; var chartHeight = canvas.height – 2 * padding; // Clear canvas before drawing ctx.clearRect(0, 0, canvas.width, canvas.height); // Draw background and grid ctx.fillStyle = '#f0f5fa'; ctx.fillRect(0, 0, canvas.width, canvas.height); ctx.strokeStyle = '#dee2e6'; ctx.lineWidth = 1; // Draw y-axis labels and lines (simplified categories) var yValues = [1, 1.5, 2]; var yLabels = ['Men', 'You', 'Women']; var yStep = chartHeight / (yValues.length – 1); yValues.forEach(function(yVal, index) { var yPos = padding + chartHeight – (yVal – 1) * yStep; // Adjust yPos calculation ctx.beginPath(); ctx.moveTo(padding, yPos); ctx.lineTo(padding + chartWidth, yPos); ctx.stroke(); ctx.fillStyle = '#333'; ctx.textAlign = 'right'; ctx.textBaseline = 'middle'; ctx.fillText(yLabels[index], padding – 5, yPos); }); // Draw x-axis labels and lines var xStep = chartWidth / maxValue; // Scale based on max value // Draw category lines var categoryValues = [ menCategories.essential.max, menCategories.athletes.min, menCategories.athletes.max, menCategories.fitness.min, menCategories.fitness.max, menCategories.average.min, menCategories.average.max, menCategories.obese.min, womenCategories.essential.max, womenCategories.athletes.min, womenCategories.athletes.max, womenCategories.fitness.min, womenCategories.fitness.max, womenCategories.average.min, womenCategories.average.max, womenCategories.obese.min ]; var uniqueCategoryValues = Array.from(new Set(categoryValues)).sort(function(a, b) { return a – b; }); uniqueCategoryValues.forEach(function(val) { if (val > 0 && val = padding && xPos = padding && yPos <= padding + chartHeight) { ctx.fillStyle = dataset.backgroundColor; ctx.strokeStyle = dataset.borderColor; ctx.lineWidth = dataset.borderWidth; ctx.beginPath(); ctx.arc(xPos, yPos, dataset.pointRadius, 0, Math.PI * 2); ctx.fill(); ctx.stroke(); } }); }); // Draw legend manually var legendX = padding; var legendY = canvas.height – 40; var legendSpacing = 120; ctx.font = '12px Segoe UI'; ctx.textAlign = 'left'; ctx.textBaseline = 'top'; // Men Legend ctx.fillStyle = chartData.datasets[0].backgroundColor; ctx.fillRect(legendX, legendY, 15, 15); ctx.fillStyle = chartData.datasets[0].borderColor; ctx.strokeStyle = chartData.datasets[0].borderColor; ctx.lineWidth = 1; ctx.strokeRect(legendX, legendY, 15, 15); ctx.fillStyle = '#333'; ctx.fillText(chartData.datasets[0].label, legendX + 20, legendY); // Women Legend ctx.fillStyle = chartData.datasets[1].backgroundColor; ctx.fillRect(legendX + legendSpacing, legendY, 15, 15); ctx.fillStyle = chartData.datasets[1].borderColor; ctx.strokeStyle = chartData.datasets[1].borderColor; ctx.lineWidth = 1; ctx.strokeRect(legendX + legendSpacing, legendY, 15, 15); ctx.fillStyle = '#333'; ctx.fillText(chartData.datasets[1].label, legendX + legendSpacing + 20, legendY); // User Point Legend ctx.fillStyle = chartData.datasets[2].backgroundColor; ctx.beginPath(); ctx.arc(legendX + legendSpacing * 2 + 10, legendY + 7.5, chartData.datasets[2].pointRadius, 0, Math.PI * 2); ctx.fill(); ctx.strokeStyle = chartData.datasets[2].borderColor; ctx.lineWidth = chartData.datasets[2].borderWidth; ctx.stroke(); ctx.fillStyle = '#333'; ctx.fillText(chartData.datasets[2].label, legendX + legendSpacing * 2 + 30, legendY); } // Initial setup for chart canvas size window.addEventListener('resize', function() { if (document.getElementById('results').style.display === 'block') { updateChart(document.getElementById('bodyFatPercentage').textContent.replace('%', '')); } }); // Trigger initial calculation if values are pre-filled (e.g., on page load from cache) document.addEventListener('DOMContentLoaded', function() { if (document.getElementById('weight').value && document.getElementById('height').value) { calculateBodyFat(); } });

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