Weight Shape Calculator

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Weight Shape Calculator

Assess your body composition and understand key health indicators.

Calculate Your Body Metrics

Enter your height in centimeters (cm).
Enter your weight in kilograms (kg).
Enter your waist circumference in centimeters (cm).
Enter your hip circumference in centimeters (cm).
Enter your neck circumference in centimeters (cm).
Male Female Select your biological sex for a more accurate body fat estimate.

Your Body Metrics

N/A
Enter your measurements above to see your results.
Body Mass Index (BMI)
Waist-to-Hip Ratio (WHR)
Waist-to-Height Ratio (WHtR)
Body Fat Percentage (Estimate)
Lean Body Mass (Estimate)
Metric Definitions and Classifications
Metric Formula Interpretation (General)
BMI Weight (kg) / Height (m)^2 Underweight, Healthy, Overweight, Obese
WHR Waist Circumference / Hip Circumference Indicates fat distribution (apple vs. pear shape)
WHtR Waist Circumference / Height Risk of abdominal obesity and related health issues
Body Fat % (Various formulas based on measurements) Lean vs. Fat mass proportion
Lean Body Mass Total Weight – Fat Mass Weight of non-fat components (muscles, bones, organs)

Metric Trends Over Time (Hypothetical)

This chart illustrates how potential changes in your measurements could affect key health indicators. Data is illustrative.

What is Weight Shape Analysis?

Weight shape analysis, often referred to as body composition analysis or body shape assessment, goes beyond simply looking at the number on the scale. It involves evaluating how your body's mass is distributed and what proportion of that mass is fat versus lean tissue. Understanding your weight shape helps provide a more nuanced picture of your health than traditional weight or BMI measurements alone. It highlights where excess weight might be carried and its potential implications for health risks.

This type of analysis is crucial for individuals looking to achieve specific fitness goals, manage weight-related health conditions, or simply gain a deeper understanding of their physical well-being. It's not just about losing weight, but about achieving a healthier body composition.

Who should use it: Anyone interested in their health and fitness, including individuals managing conditions like cardiovascular disease, type 2 diabetes, or obesity, as well as athletes and fitness enthusiasts aiming to optimize performance and body composition.

Common misconceptions: A common misconception is that a "healthy" weight shape is universally defined or that BMI is the sole determinant of health. In reality, body composition varies significantly between individuals, and carrying weight in certain areas (like the abdomen) poses greater health risks than carrying it in others. Another misconception is that weight loss always equates to fat loss; sometimes, valuable lean mass can be lost if not managed properly.

Weight Shape Analysis: Formulas and Mathematical Explanation

Several key metrics contribute to understanding your weight shape. Our calculator focuses on the most commonly used and clinically relevant ones.

Body Mass Index (BMI)

BMI is a widely used screening tool that provides a ratio of a person's weight to their height. It helps categorize individuals into different weight groups.

Formula:

BMI = Weight (kg) / Height (m)²

To use the formula, you must convert your height from centimeters to meters (e.g., 175 cm = 1.75 m).

Waist-to-Hip Ratio (WHR)

WHR is an indicator of fat distribution. It compares the circumference of your waist to the circumference of your hips. A higher WHR, particularly in men, often indicates more abdominal fat (an "apple" shape), which is associated with increased health risks.

Formula:

WHR = Waist Circumference (cm) / Hip Circumference (cm)

Waist-to-Height Ratio (WHtR)

WHtR is another excellent indicator of abdominal obesity and is considered by some to be a better predictor of cardiovascular risk than BMI or WHR. It simply compares your waist size to your height. The general advice is to keep your waist circumference less than half your height.

Formula:

WHtR = Waist Circumference (cm) / Height (cm)

Body Fat Percentage (BFP) Estimate

Estimating body fat percentage provides a more direct measure of body composition than BMI. Several formulas exist; the one used here is a common estimation method (often called the U.S. Navy method) that uses waist, neck, and hip (for women) circumferences relative to height.

Formulas (simplified estimation):

For Men: Body Fat % = 495 / (1.0324 - 0.19077 * log10(waist - neck) + 0.15456 * log10(height)) - 450

For Women: Body Fat % = 495 / (1.29579 - 0.13704 * log10(waist + hip - neck) + 0.05264 * log10(height)) - 450

*Note: These are estimations and can vary in accuracy. Actual body fat percentage is best measured through clinical methods like DEXA scans.*

Lean Body Mass (LBM) Estimate

Lean Body Mass is the weight of everything in your body excluding fat. This includes muscle, bone, organs, and water. It's a critical component of fitness and health.

Formula:

LBM (kg) = Total Weight (kg) * (1 - (Body Fat Percentage / 100))

Variables Table

Key Variables in Weight Shape Analysis
Variable Meaning Unit Typical Range/Notes
Height Individual's vertical measurement. cm (or m for BMI) Varies by individual
Weight Individual's total body mass. kg Varies by individual
Waist Circumference Measurement around the narrowest part of the torso, typically at the navel level. cm Healthy: Varies by sex and height (e.g., <94cm men, <80cm women)
Hip Circumference Measurement around the widest part of the hips and buttocks. cm Varies by individual
Neck Circumference Measurement around the base of the neck. cm Varies by individual
BMI Body Mass Index. kg/m² = 30 (Obese)
WHR Waist-to-Hip Ratio. Ratio (unitless) Men: Healthy < 0.9, Women: Healthy < 0.85
WHtR Waist-to-Height Ratio. Ratio (unitless) Healthy: < 0.5
Body Fat % Percentage of total body weight that is fat. % Men: Healthy 10-20%, Women: Healthy 18-28% (ranges vary)
Lean Body Mass Weight of non-fat components. kg Varies based on weight and body fat %

Practical Examples (Real-World Use Cases)

Let's illustrate with two scenarios to show how the weight shape calculator can be applied.

Example 1: Sarah, aiming for better health

Sarah is 35 years old, 165 cm tall, and weighs 68 kg. Her waist measures 82 cm, her hips are 98 cm, and her neck is 34 cm. She selects 'Female' for biological sex.

Inputs:

  • Height: 165 cm
  • Weight: 68 kg
  • Waist: 82 cm
  • Hip: 98 cm
  • Neck: 34 cm
  • Gender: Female

Calculated Results (from the calculator):

  • BMI: 24.9 (Healthy Weight)
  • WHR: 0.84 (Increased Risk – Pear shape, but nearing limit)
  • WHtR: 0.50 (Healthy – Waist is exactly half her height)
  • Body Fat % (Estimate): ~30.5% (Higher End of Healthy/Slightly Overweight for women)
  • Lean Body Mass (Estimate): ~47.2 kg

Interpretation: Sarah's BMI is at the top end of the healthy range. While her WHtR is good, her WHR indicates a tendency towards abdominal fat storage, which puts her at a higher risk for certain health issues. Her estimated body fat percentage is also on the higher side for her age and sex. This suggests that focusing on body composition (reducing fat mass and potentially increasing lean mass) through diet and exercise would be more beneficial for her health than just focusing on the scale.

Example 2: Mark, an active individual

Mark is 28 years old, 180 cm tall, and weighs 85 kg. He's been working out and has built muscle. His waist measures 88 cm, his hips are 100 cm, and his neck is 40 cm. He selects 'Male' for biological sex.

Inputs:

  • Height: 180 cm
  • Weight: 85 kg
  • Waist: 88 cm
  • Hip: 100 cm
  • Neck: 40 cm
  • Gender: Male

Calculated Results (from the calculator):

  • BMI: 26.2 (Overweight)
  • WHR: 0.88 (Increased Risk – Apple shape)
  • WHtR: 0.49 (Healthy – Waist is less than half his height)
  • Body Fat % (Estimate): ~20.1% (Healthy range for men)
  • Lean Body Mass (Estimate): ~67.9 kg

Interpretation: Mark's BMI classifies him as "Overweight." However, his WHtR is healthy, and his estimated body fat percentage is within a good range for an active male. This highlights a key limitation of BMI: it doesn't distinguish between muscle and fat. Given his measurements and estimated body fat, Mark likely has a significant amount of muscle mass contributing to his weight. His WHR is slightly elevated, suggesting he could still benefit from focusing on reducing abdominal fat through targeted diet and exercise, even though his overall body composition is relatively healthy. This example demonstrates why using multiple metrics is vital for a complete health picture.

How to Use This Weight Shape Calculator

Using our weight shape calculator is straightforward and provides valuable insights into your body composition. Follow these steps:

  1. Gather Your Measurements: You will need a measuring tape. Ensure you measure accurately:
    • Height: Stand straight against a wall and mark the top of your head. Measure from the floor to the mark in centimeters.
    • Weight: Use a calibrated scale to get your weight in kilograms.
    • Waist Circumference: Measure around your natural waistline, which is usually the narrowest part of your torso, typically just above your belly button. Breathe normally and do not suck in your stomach. Measure in centimeters.
    • Hip Circumference: Measure around the fullest part of your hips and buttocks. Ensure the tape is level. Measure in centimeters.
    • Neck Circumference: Measure around the base of your neck, just below the Adam's apple. Measure in centimeters.
  2. Input Your Data: Enter each measurement accurately into the corresponding field on the calculator. Select your biological sex (Male/Female) for the body fat estimation.
  3. Calculate: Click the "Calculate" button. The calculator will instantly display your results.
  4. Understand Your Results:
    • Primary Result: This often shows your BMI category, which gives a broad overview.
    • Intermediate Values: BMI, WHR, WHtR, Estimated Body Fat Percentage, and Lean Body Mass provide more detailed insights into your health risks and body composition. Refer to the "Metric Definitions and Classifications" table for interpretation.
    • Summary: A brief interpretation will help you understand what the numbers mean in practical terms.
    • Chart: Visualize how potential changes in your measurements might influence your key metrics over time.
  5. Use the Results for Decision-Making:
    • If your BMI, WHR, or WHtR indicate increased health risks, consider consulting a healthcare professional or a registered dietitian.
    • Focus on improving body composition (reducing body fat, increasing lean mass) through a balanced diet and regular exercise, rather than solely aiming for weight loss.
    • Use the "Reset" button to clear fields and try new measurements.
    • Use the "Copy Results" button to save or share your calculated metrics.

Key Factors That Affect Weight Shape Results

Several factors can influence your measurements and the resulting weight shape analysis metrics. Understanding these can help you interpret your results more accurately:

  • Genetics: Your genetic makeup plays a significant role in where your body stores fat (e.g., abdominal vs. lower body) and your natural body frame. Some individuals are genetically predisposed to an "apple" or "pear" shape.
  • Age: Body composition naturally changes with age. Muscle mass tends to decrease, and body fat may increase or redistribute, particularly after age 30-40, potentially impacting WHR and BFP estimates.
  • Sex: Biological sex influences fat distribution patterns and typical body fat percentages. Women generally carry more essential body fat than men due to reproductive functions.
  • Muscle Mass: High muscle mass can increase weight and sometimes waist circumference (if visceral fat is present around organs), potentially leading to a higher BMI classification even if body fat is low. This is why BMI alone can be misleading for athletes. LBM calculations become crucial here.
  • Dietary Habits: High intake of processed foods, sugar, and unhealthy fats can contribute to increased abdominal fat storage and higher overall body fat percentage, negatively impacting WHR and WHtR. A balanced nutrition plan is key.
  • Physical Activity Level: Regular exercise, especially a combination of cardiovascular and strength training, helps reduce body fat, increase lean body mass, and improve cardiovascular health markers, positively affecting all calculated metrics.
  • Hormonal Changes: Fluctuations in hormones (e.g., during menopause, due to thyroid issues, or stress) can affect fat distribution and metabolism, influencing waist circumference and body fat percentage.
  • Hydration Levels: While not directly affecting measurements, significant dehydration or water retention can temporarily alter weight, which could slightly impact BMI calculations if measured at that specific moment.

Frequently Asked Questions (FAQ)

What is the most accurate way to measure body shape?
While this calculator provides useful estimates, the most accurate methods for assessing body composition and fat distribution include DEXA scans (Dual-energy X-ray absorptiometry), hydrostatic weighing (underwater weighing), and bioelectrical impedance analysis (BIA) devices (found in some gyms or scales). These clinical methods offer more precise breakdowns of body fat, lean mass, and bone density.
Can my BMI be healthy if my weight is classified as 'Overweight'?
Yes, this is possible, especially for individuals with high muscle mass (like athletes or bodybuilders). BMI does not differentiate between fat and muscle. If your BMI is in the 'Overweight' or 'Obese' category but your body fat percentage is healthy and your waist circumference is within limits, you may be considered metabolically healthy. Our calculator helps reveal this discrepancy by including body fat percentage and WHtR.
What are the ideal ranges for WHR and WHtR?
General guidelines suggest:
  • WHR: For men, less than 0.9; for women, less than 0.85. Higher ratios indicate increased abdominal fat and associated health risks.
  • WHtR: Less than 0.5 is considered healthy for both men and women. This means your waist circumference should be less than half your height.
These are general guidelines and can vary slightly based on ethnicity and age.
How often should I use a weight shape calculator?
Using the calculator every 3-6 months can be beneficial to track changes in your body composition. More frequent use might be warranted if you are undergoing a significant lifestyle change (e.g., starting a new fitness program, major dietary changes). Consistent tracking helps monitor progress and make necessary adjustments.
Does body fat percentage decrease linearly with weight loss?
Not always. When losing weight, it's possible to lose both fat mass and lean mass (muscle). A well-structured diet and exercise plan aims to maximize fat loss while preserving or even increasing lean mass. This means your body fat percentage might improve even if the scale doesn't move drastically, or it might decrease slower than weight if muscle is being gained simultaneously.
Why is abdominal fat (indicated by WHR/WHtR) more concerning?
Fat stored around the abdominal organs (visceral fat) is metabolically active and releases inflammatory substances. This type of fat is strongly linked to increased risks of cardiovascular disease, type 2 diabetes, insulin resistance, high blood pressure, and certain cancers, more so than fat stored in the hips or thighs.
Can this calculator diagnose health conditions?
No, this calculator is for informational and educational purposes only. It provides estimates based on widely used formulas. It cannot diagnose any medical condition. If you have concerns about your health, weight, or body composition, please consult with a qualified healthcare professional.
Are there any limitations to the body fat percentage estimation formulas?
Yes, estimation formulas have limitations. They rely on specific measurements and population-based assumptions. Factors like very low or very high body fat, extreme muscle mass, or unusual body proportions can affect their accuracy. For precise measurements, clinical assessments are recommended.

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null : value; } function validateInput(id, label, minValue, maxValue) { var inputElement = document.getElementById(id); var errorElement = document.getElementById(id + 'Error'); var value = getNumericValue(id); var isValid = true; errorElement.classList.remove('visible'); inputElement.style.borderColor = 'var(–border-color)'; if (inputElement.value.trim() === ") { errorElement.innerText = label + ' is required.'; isValid = false; } else if (value === null) { errorElement.innerText = 'Please enter a valid number for ' + label + '.'; isValid = false; } else if (value <= 0) { errorElement.innerText = label + ' cannot be zero or negative.'; isValid = false; } else if (minValue !== null && value maxValue) { errorElement.innerText = label + ' cannot exceed ' + maxValue + '.'; isValid = false; } if (!isValid) { errorElement.classList.add('visible'); inputElement.style.borderColor = '#dc3545'; } return isValid; } function calculateMetrics() { var heightCm = getNumericValue('heightCm'); var weightKg = getNumericValue('weightKg'); var waistCm = getNumericValue('waistCm'); var hipCm = getNumericValue('hipCm'); var neckCm = getNumericValue('neckCm'); var gender = document.getElementById('gender').value; var formIsValid = true; // Input Validations formIsValid &= validateInput('heightCm', 'Height', 50, 300); // Min 50cm, Max 300cm formIsValid &= validateInput('weightKg', 'Weight', 1, 1000); // Min 1kg, Max 1000kg formIsValid &= validateInput('waistCm', 'Waist Circumference', 10, 300); // Min 10cm, Max 300cm formIsValid &= validateInput('hipCm', 'Hip Circumference', 10, 300); // Min 10cm, Max 300cm formIsValid &= validateInput('neckCm', 'Neck Circumference', 5, 100); // Min 5cm, Max 100cm if (!formIsValid) { primaryResultElement.innerText = 'N/A'; bmiResultElement.innerText = '–'; whrResultElement.innerText = '–'; whtrResultElement.innerText = '–'; bfpResultElement.innerText = '–'; lbmResultElement.innerText = '–'; resultSummaryElement.innerText = 'Please correct the errors above.'; calculationExplanationElement.innerHTML = "Enter your measurements to see the formulas and interpretations."; updateChart({ bmi: 0, whtr: 0, bfp: 0 }, { bmi: 0, whtr: 0, bfp: 0 }); // Reset chart return; } // — Calculations — var heightM = heightCm / 100; // Convert height to meters for BMI // BMI var bmi = weightKg / (heightM * heightM); var bmiCategory = 'N/A'; if (bmi = 18.5 && bmi = 25 && bmi = 30) bmiCategory = 'Obese'; // WHR var whr = waistCm / hipCm; var whrInterpretation = "; if (gender === 'male' && whr >= 0.9) whrInterpretation = '(High Risk)'; else if (gender === 'female' && whr >= 0.85) whrInterpretation = '(High Risk)'; else if (gender === 'male' && whr >= 0.8) whrInterpretation = '(Increased Risk)'; else if (gender === 'female' && whr >= 0.7) whrInterpretation = '(Increased Risk)'; else whrInterpretation = '(Healthy)'; // WHtR var whtr = waistCm / heightCm; var whtrInterpretation = "; if (whtr >= 0.5) whtrInterpretation = '(High Risk)'; else whtrInterpretation = '(Healthy)'; // BFP Estimation (US Navy Method) – simplified log10 calculation var bfp = 0; var log10 = Math.log10; // Alias for convenience try { if (gender === 'male') { // Check for valid inputs for log if ((waistCm – neckCm) > 0 && heightCm > 0) { bfp = 495 / (1.0324 – 0.19077 * log10(waistCm – neckCm) + 0.15456 * log10(heightCm)) – 450; } else { bfp = NaN; // Indicate invalid calculation } } else { // female // Check for valid inputs for log if ((waistCm + hipCm – neckCm) > 0 && heightCm > 0) { bfp = 495 / (1.29579 – 0.13704 * log10(waistCm + hipCm – neckCm) + 0.05264 * log10(heightCm)) – 450; } else { bfp = NaN; // Indicate invalid calculation } } // Ensure BFP is within reasonable bounds if (isNaN(bfp) || bfp 70) { bfpResultElement.innerText = '–'; // Show dashed if calculation failed or out of range } else { bfp = Math.max(1, Math.min(70, bfp)); // Cap at realistic bounds } } catch (e) { bfp = NaN; // Handle potential math errors bfpResultElement.innerText = '–'; } // LBM Calculation var lbm = 0; if (!isNaN(bfp) && bfp >= 1 && bfp <= 70) { // Only calculate if BFP is valid lbm = weightKg * (1 – (bfp / 100)); } else { lbm = NaN; // Indicate invalid calculation } // — Display Results — var displayBmi = isNaN(bmi) ? '–' : bmi.toFixed(1); var displayWhr = isNaN(whr) ? '–' : whr.toFixed(2); var displayWhtr = isNaN(whtr) ? '–' : whtr.toFixed(2); var displayBfp = isNaN(bfp) ? '–' : bfp.toFixed(1) + '%'; var displayLbm = isNaN(lbm) ? '–' : lbm.toFixed(1) + ' kg'; bmiResultElement.innerText = displayBmi; whrResultElement.innerText = displayWhr + ' ' + whrInterpretation; whtrResultElement.innerText = displayWhtr + ' ' + whtrInterpretation; bfpResultElement.innerText = displayBfp; lbmResultElement.innerText = displayLbm; // Primary Result and Summary var primaryResultText = bmiCategory; var summaryText = "Your BMI indicates " + bmiCategory + ". "; if (whtrInterpretation === '(High Risk)') { primaryResultText = 'High Health Risk'; summaryText += "Your Waist-to-Height Ratio suggests a high risk associated with abdominal obesity. "; } else if (whtrInterpretation === '(Healthy)' && (whrInterpretation.includes('Risk') || whrInterpretation.includes('Risk'))) { primaryResultText = 'Moderate Health Risk'; summaryText += "While your WHtR is healthy, your WHR indicates an increased risk due to fat distribution. "; } else if (bmiCategory === 'Obese') { primaryResultText = 'Obese'; summaryText += "Your BMI is in the obese range, indicating potential health concerns. "; } else if (bmiCategory === 'Overweight') { primaryResultText = 'Overweight'; summaryText += "Your BMI is in the overweight range. "; } else { primaryResultText = 'Healthy'; } if (isNaN(bfp) || bfp 70) { summaryText += "We could not reliably estimate your body fat percentage with the provided measurements. "; } else { summaryText += "Your estimated body fat percentage is " + displayBfp + ". "; if (gender === 'male' && (bfp > 25 || bfp 32 || bfp < 18)) { summaryText += "This is outside the typical healthy range for women. "; } } primaryResultElement.innerText = primaryResultText; resultSummaryElement.innerText = summaryText; // Update Calculation Explanation calculationExplanationElement.innerHTML = "BMI: Weight (kg) / Height (m)². WHR: Waist (cm) / Hip (cm). WHtR: Waist (cm) / Height (cm). BFP and LBM are estimates based on your measurements and biological sex."; // Update Chart Data var chartData = { bmi: isNaN(bmi) ? 0 : bmi, whtr: isNaN(whtr) ? 0 : whtr, bfp: isNaN(bfp) ? 0 : bfp }; // For target values, we can set hypothetical targets, e.g., a healthy BMI, WHtR, and BFP. // These are illustrative and not necessarily achievable or suitable for everyone. var targetChartData = { bmi: 22, // Example target BMI whtr: 0.45, // Example target WHtR bfp: gender === 'male' ? 15 : 22 // Example target BFP based on gender }; updateChart({ bmi: chartData.bmi, whtr: chartData.whtr, bfp: chartData.bfp }, targetChartData); } function resetForm() { document.getElementById('heightCm').value = '175'; document.getElementById('weightKg').value = '70'; document.getElementById('waistCm').value = '80'; document.getElementById('hipCm').value = '95'; document.getElementById('neckCm').value = '38'; document.getElementById('gender').value = 'male'; // Clear errors var errorElements = document.querySelectorAll('.error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].innerText = ''; errorElements[i].classList.remove('visible'); } var inputElements = document.querySelectorAll('input[type="number"], select'); for (var i = 0; i < inputElements.length; i++) { inputElements[i].style.borderColor = 'var(–border-color)'; } // Reset results display primaryResultElement.innerText = 'N/A'; bmiResultElement.innerText = '–'; whrResultElement.innerText = '–'; whtrResultElement.innerText = '–'; bfpResultElement.innerText = '–'; lbmResultElement.innerText = '–'; resultSummaryElement.innerText = 'Enter your measurements above to see your results.'; calculationExplanationElement.innerHTML = "Enter your measurements to see the formulas and interpretations."; // Reset chart if (metricsChart) { metricsChart.data.datasets.forEach(function(dataset) { dataset.data = [0, 0]; }); metricsChart.update(); } } function copyResults() { var primaryResult = primaryResultElement.innerText; var bmiResult = bmiResultElement.innerText; var whrResult = whrResultElement.innerText; var whtrResult = whtrResultElement.innerText; var bfpResult = bfpResultElement.innerText; var lbmResult = lbmResultElement.innerText; var summary = resultSummaryElement.innerText; var resultsString = "Weight Shape Analysis Results:\n\n"; resultsString += "Primary Assessment: " + primaryResult + "\n"; resultsString += "Summary: " + summary + "\n\n"; resultsString += "Detailed Metrics:\n"; resultsString += "- BMI: " + bmiResult + "\n"; resultsString += "- WHR: " + whrResult + "\n"; resultsString += "- WHtR: " + whtrResult + "\n"; resultsString += "- Estimated Body Fat %: " + bfpResult + "\n"; resultsString += "- Estimated Lean Body Mass: " + lbmResult + "\n\n"; resultsString += "Key Assumptions:\n"; resultsString += "- Gender used for BFP estimation: " + document.getElementById('gender').selectedOptions[0].text + "\n"; resultsString += "- Formulas used are estimations.\n"; try { var textarea = document.createElement('textarea'); textarea.value = resultsString; textarea.style.position = 'fixed'; textarea.style.left = '-9999px'; document.body.appendChild(textarea); textarea.focus(); textarea.select(); document.execCommand('copy'); document.body.removeChild(textarea); alert('Results copied to clipboard!'); } catch (e) { alert('Failed to copy results. Please copy manually.'); } } // Add event listeners to recalculate on input change document.getElementById('heightCm').addEventListener('input', calculateMetrics); document.getElementById('weightKg').addEventListener('input', calculateMetrics); document.getElementById('waistCm').addEventListener('input', calculateMetrics); document.getElementById('hipCm').addEventListener('input', calculateMetrics); document.getElementById('neckCm').addEventListener('input', calculateMetrics); document.getElementById('gender').addEventListener('change', calculateMetrics); // FAQ functionality var faqQuestions = document.querySelectorAll('.faq-question'); for (var i = 0; i < faqQuestions.length; i++) { faqQuestions[i].addEventListener('click', function() { var faqItem = this.parentElement; faqItem.classList.toggle('open'); }); }

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