Calculate Height and Weight Percentile

Calculate Height and Weight Percentile – Your Comprehensive Guide :root { –primary-color: #004a99; –secondary-color: #007bff; –success-color: #28a745; –danger-color: #dc3545; –warning-color: #ffc107; –info-color: #17a2b8; –light-color: #f8f9fa; –dark-color: #343a40; –gray-color: #6c757d; –white-color: #ffffff; –body-bg: #f8f9fa; –card-bg: #ffffff; –text-color: #212529; –border-color: #dee2e6; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; color: var(–text-color); background-color: var(–body-bg); margin: 0; padding: 0; } .container { max-width: 1000px; margin: 0 auto; padding: 20px; } header { background-color: var(–primary-color); color: var(–white-color); padding: 20px 0; text-align: center; margin-bottom: 20px; } header h1 { margin: 0; font-size: 2.5em; } .content-section { background-color: var(–card-bg); padding: 30px; border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); margin-bottom: 30px; } h2, h3 { color: var(–primary-color); 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Calculate Height and Weight Percentile

Understanding your height and weight percentile is crucial, especially for children, as it helps assess growth and development against established standards. This tool provides a simple way to calculate these percentiles, offering insights into where an individual stands relative to their peers.

Enter the age in months (e.g., 12 for 1 year).
Male Female Select the sex assigned at birth.
Enter height in centimeters (e.g., 150 cm).
Enter weight in kilograms (e.g., 60 kg).

Your Results

Height Percentile:
Weight Percentile:
BMI Percentile:

Key Assumptions

Age: months
Sex:

Percentiles indicate the percentage of individuals in the reference population who are shorter, lighter, or have a lower BMI than the individual being measured. For example, a 75th percentile means the individual is larger than 75% of those in the same age and sex group.

Growth Chart Visualization

Visualizing height and weight percentiles over age (example data).
Height and Weight Percentile Data Table (Example for Females, 24 Months)
Age (Months) Height (cm) – 50th %ile Height (cm) – 95th %ile Weight (kg) – 50th %ile Weight (kg) – 95th %ile
24 86.4 96.4 11.9 15.6
36 96.5 107.5 14.0 18.8
48 106.1 118.2 16.1 22.0

What is Height and Weight Percentile?

Height and weight percentile is a way to compare a child's measurements to those of other children of the same age and sex. It's not about being "ahead" or "behind," but rather about tracking growth patterns. A percentile indicates the percentage of children who fall below a specific measurement. For instance, if a child is in the 80th percentile for height, it means they are taller than 80% of children their age and sex.

Who should use it?

  • Parents and Guardians: To monitor their child's growth and development, ensuring it aligns with typical patterns.
  • Pediatricians and Healthcare Providers: To assess a child's health status, identify potential growth disorders (like failure to thrive or obesity), and make informed medical decisions.
  • Researchers: In studies related to child development, nutrition, and public health.

Common Misconceptions:

  • "Higher percentile is always better": This isn't true. A healthy growth pattern is more important than a specific high or low percentile. Rapid shifts in percentiles can be more concerning than consistently being in a lower or higher percentile.
  • "Percentiles are fixed": Children's percentiles can change, especially in the early years. Steady growth along a curve is ideal.
  • "Percentiles are a diagnosis": They are a tool for assessment. A percentile out of the typical range warrants further investigation by a healthcare professional, not an immediate diagnosis.

Height and Weight Percentile Formula and Mathematical Explanation

Calculating percentiles for height and weight typically relies on statistical growth charts developed by health organizations like the World Health Organization (WHO) or the Centers for Disease Control and Prevention (CDC). These charts are derived from extensive data and often use complex statistical models (like the LMS method: Lambda, Mu, Sigma) to define the curves for various percentiles (e.g., 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, 97th). The exact mathematical formula is complex and proprietary to the charting organizations. Our calculator uses simplified approximations or references CDC/WHO data to provide estimates.

The core idea is to compare a child's measurement (height or weight) at a specific age and sex against the distribution of measurements from a large reference population. The percentile rank represents the cumulative probability of a measurement falling at or below a certain value.

BMI Percentile Calculation

Body Mass Index (BMI) is calculated first, then its percentile is determined using age- and sex-specific BMI-for-age growth charts.

BMI Formula:

BMI = Weight (kg) / (Height (m))^2

Where Height is converted to meters (cm / 100).

The BMI percentile is then looked up on a specific chart based on the child's age and sex. This calculation is highly standardized and relies on lookup tables or algorithms derived from extensive datasets.

Variables Table

Variables Used in Percentile Calculation
Variable Meaning Unit Typical Range
Age Time since birth Months 1 – 240 (0-20 years)
Sex Biological sex Categorical (Male/Female) Male, Female
Height Standing or recumbent length cm Varies by age and sex
Weight Body mass kg Varies by age and sex
BMI Body Mass Index kg/m² Varies by age and sex percentile
Percentile Rank Position in the distribution relative to peers % 0 – 100

Practical Examples (Real-World Use Cases)

Example 1: Monitoring a Toddler's Growth

Scenario: Sarah is a healthy 18-month-old girl. Her parents want to check her growth against the typical standards.

Inputs:

  • Age: 18 months
  • Sex: Female
  • Height: 79 cm
  • Weight: 10.5 kg

Calculation using the calculator:

  • The calculator finds that Sarah's height is around the 50th percentile for her age and sex.
  • Her weight is around the 60th percentile.
  • Her BMI percentile is approximately 55th percentile.

Interpretation: Sarah is growing consistently within the healthy range, with her height and weight percentiles close to the median (50th percentile). This suggests a well-proportioned growth pattern. Her doctor would review these numbers alongside her overall health and development.

Example 2: Assessing a Pre-teen's Weight Status

Scenario: David is 10 years old and his parents are concerned he might be underweight.

Inputs:

  • Age: 120 months (10 years)
  • Sex: Male
  • Height: 135 cm
  • Weight: 28 kg

Calculation using the calculator:

  • The calculator determines David's height percentile is approximately the 40th percentile.
  • His weight percentile is around the 25th percentile.
  • His BMI is calculated (28 / (1.35)^2 ≈ 15.4 kg/m²), and its percentile is found to be approximately the 30th percentile for his age and sex.

Interpretation: David's height and weight are both below the median but within the typical range for his age and sex (below the 40th percentile). His BMI percentile of 30th indicates he is not underweight according to CDC/WHO standards. His growth seems consistent, though he is on the leaner side compared to his peers. The doctor might recommend monitoring his nutritional intake to ensure adequate growth.

How to Use This Height and Weight Percentile Calculator

Our calculator is designed for simplicity and accuracy, providing quick insights into growth patterns.

  1. Enter Age: Input the child's age in months. For example, 2 years is 24 months.
  2. Select Sex: Choose 'Male' or 'Female' based on the child's sex assigned at birth.
  3. Input Height: Measure the child's height accurately in centimeters (cm). For very young children, recumbent length (lying down) is often used.
  4. Input Weight: Measure the child's weight accurately in kilograms (kg). Ensure the scale is calibrated.
  5. Calculate: Click the "Calculate Percentiles" button.

How to Read Results:

  • Height Percentile: Shows where the child's height ranks compared to others of the same age and sex. A 50th percentile means they are average. A 90th percentile means they are taller than 90% of peers.
  • Weight Percentile: Shows where the child's weight ranks. Similar interpretation as height.
  • BMI Percentile: This is a key indicator for weight status.
    • Underweight: Typically below the 5th percentile.
    • Healthy weight: Between the 5th and 85th percentiles.
    • Overweight: Between the 85th and 95th percentiles.
    • Obese: At or above the 95th percentile.
    (Note: These cutoffs can vary slightly by age and guideline source; consult a healthcare provider for definitive classification).
  • Main Result: The primary highlighted result often focuses on BMI percentile as it's a critical health indicator.

Decision-Making Guidance:

  • Consistent Growth: If height and weight percentiles are relatively stable and close to each other, it generally indicates healthy, proportional growth.
  • Rapid Changes: Significant jumps or drops in percentiles over short periods may warrant a discussion with a pediatrician.
  • BMI Classification: Use the BMI percentile to understand if the child falls into underweight, healthy weight, overweight, or obese categories. This information is vital for addressing potential health risks related to nutrition and lifestyle.
  • Consult a Professional: Always discuss growth patterns and concerns with a pediatrician or healthcare provider. This calculator is a tool for informational purposes and does not replace professional medical advice.

Key Factors That Affect Height and Weight Percentile Results

Several factors influence an individual's growth trajectory and, consequently, their height and weight percentile:

  1. Genetics: Parental height and build are strong predictors of a child's potential growth. Genetic factors significantly influence the upper limit of an individual's height and their natural body composition.
  2. Nutrition: Adequate intake of calories, protein, vitamins, and minerals is essential for growth. Malnutrition can stunt growth, while excessive calorie intake can lead to obesity, both impacting percentiles. Proper prenatal nutrition also plays a role.
  3. Health Status & Chronic Illness: Certain medical conditions (e.g., endocrine disorders, genetic syndromes, chronic kidney disease, celiac disease) can significantly affect growth rate and final height/weight. Consistent monitoring is key for children with chronic illnesses.
  4. Physical Activity Levels: Regular exercise contributes to healthy weight management and bone density. A sedentary lifestyle combined with poor diet can lead to higher BMI percentiles. Conversely, excessive activity without adequate caloric intake could potentially impact growth negatively.
  5. Sleep Quality and Quantity: Growth hormone is primarily released during deep sleep. Insufficient or poor-quality sleep can potentially interfere with optimal growth, although the direct impact on percentiles is less pronounced than other factors.
  6. Socioeconomic Factors: Access to nutritious food, quality healthcare, safe environments for play, and parental education about health can all indirectly influence growth outcomes and percentile rankings.
  7. Prenatal Factors: Maternal health, nutrition, and exposure to certain substances during pregnancy can impact fetal growth, setting the stage for the child's growth trajectory after birth.
  8. Puberty Timing: The timing and intensity of the pubertal growth spurt significantly affect height and weight gain, influencing percentiles during adolescence. Early or late puberty can temporarily skew results.

Frequently Asked Questions (FAQ)

  • Q1: Is a high height percentile always good?
    A: Not necessarily. While being tall is often seen positively, the most important factor is consistent growth along a percentile curve. Rapid upward shifts or consistently very high percentiles (e.g., above 97th) should be discussed with a doctor to rule out underlying conditions.
  • Q2: How accurate are online calculators for height and weight percentile?
    A: Online calculators like this one provide good estimates based on standard growth charts (like CDC or WHO). However, they are approximations. For precise medical assessment, always rely on your pediatrician's measurements and interpretations, as they use standardized equipment and protocols.
  • Q3: What is the difference between height/weight percentile and BMI percentile?
    A: Height and weight percentiles compare a child's measurement to peers individually. BMI percentile combines both height and weight to assess weight status (underweight, healthy, overweight, obese) relative to age and sex, providing a more comprehensive view of body composition.
  • Q4: My child's height and weight percentiles are different. Is that okay?
    A: Yes, it's common and often normal for height and weight percentiles to differ. What's important is whether the child is growing steadily along their individual growth curve. Significant divergence or rapid changes might warrant medical attention.
  • Q5: When should I be concerned about my child's growth percentile?
    A: Concerns may arise if a child drops significantly across multiple percentile lines (e.g., drops from 75th to 25th percentile) or rises rapidly. Also, consistently falling below the 5th percentile or above the 95th percentile warrants discussion with a pediatrician.
  • Q6: Do these percentiles apply to adults?
    A: Standard growth charts are primarily designed for children and adolescents up to age 20. For adults, BMI categories are used, but height percentiles are less common as adult height is typically established.
  • Q7: Can premature babies be accurately assessed using these charts?
    A: For premature infants, growth is often assessed using corrected age (age adjusted for prematurity) for the first 1-2 years. Healthcare providers use specialized charts and methods for premature babies. This calculator is best for full-term infants and children.
  • Q8: Does a high BMI percentile automatically mean my child is unhealthy?
    A: A high BMI percentile (especially ≥85th or ≥95th) indicates an increased risk for health issues associated with excess weight, such as type 2 diabetes, heart disease, and joint problems. However, it's not a diagnosis in itself. A healthcare provider will consider the overall health picture, including activity levels and diet.

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Disclaimer: This calculator is for informational purposes only and does not constitute medical advice. Always consult with a qualified healthcare provider for any health concerns or before making any decisions related to your health or treatment.

// Mock data for chart – replace with actual data fetching or more complex calculations // For simplicity, using static data for demonstration. // In a real app, this would be dynamically generated or fetched based on input. var chartData = { labels: ['0-6m', '6-12m', '12-24m', '2-3y', '3-5y', '5-10y', '10-15y'], datasets: [{ label: 'Height 50th Percentile (cm)', data: [65, 75, 85, 95, 105, 130, 155], // Example cm values borderColor: 'rgba(0, 74, 153, 1)', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, tension: 0.1 }, { label: 'Height 95th Percentile (cm)', data: [70, 80, 92, 105, 118, 145, 170], // Example cm values borderColor: 'rgba(255, 193, 7, 0.8)', backgroundColor: 'rgba(255, 193, 7, 0.1)', fill: false, tension: 0.1 }] }; // Function to get percentile from CDC/WHO data (simplified lookup for demonstration) // In a real application, this would involve complex algorithms or data tables. // These values are rough approximations for demonstration. function getApproximatePercentile(value, dataArray) { if (!dataArray || dataArray.length === 0) return '–'; var count = dataArray.length; var below = 0; for (var i = 0; i < count; i++) { if (dataArray[i] < value) { below++; } } return ((below / count) * 100).toFixed(0); } // Dummy data arrays for percentile calculation (replace with real data sources) // These represent hypothetical distributions for a given age/sex. // Example: For a 24-month-old female var heightDataFemale24m = [70, 75, 80, 83, 86, 88, 90, 92, 94, 96]; // Approx 10 data points var weightDataFemale24m = [9, 10, 11, 11.5, 12, 12.5, 13, 13.5, 14, 15]; // Approx 10 data points var bmiDataFemale24m = [14, 15, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19]; // Approx 10 data points // Example: For a 24-month-old male var heightDataMale24m = [72, 77, 82, 85, 88, 90, 93, 95, 97, 99]; var weightDataMale24m = [9.5, 10.5, 11.5, 12, 12.5, 13, 13.5, 14, 14.5, 15.5]; var bmiDataMale24m = [14.5, 15.5, 16, 16.5, 17, 17.5, 18, 18.5, 19, 19.5]; var myChart = null; // To hold the chart instance function initializeChart() { var ctx = document.getElementById('growthChart').getContext('2d'); if (myChart) { myChart.destroy(); // Destroy previous chart if it exists } myChart = new Chart(ctx, { type: 'line', data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: false, title: { display: true, text: 'Height (cm)' } }, x: { title: { display: true, text: 'Age Group' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Example Height Growth Curve' } } } }); } function validateInput(id, errorId, minValue, maxValue, allowEmpty) { var input = document.getElementById(id); var errorElement = document.getElementById(errorId); var value = input.value.trim(); var numValue = parseFloat(value); errorElement.style.display = 'none'; // Hide error initially input.style.borderColor = 'var(–border-color)'; // Reset border color if (value === '' && !allowEmpty) { errorElement.textContent = 'This field cannot be empty.'; errorElement.style.display = 'block'; input.style.borderColor = 'var(–danger-color)'; return false; } if (value === '' && allowEmpty) { return true; // Allow empty if specified } if (isNaN(numValue)) { errorElement.textContent = 'Please enter a valid number.'; errorElement.style.display = 'block'; input.style.borderColor = 'var(–danger-color)'; return false; } if (numValue maxValue) { errorElement.textContent = 'Value out of range. Please enter a value between ' + minValue + ' and ' + maxValue + '.'; errorElement.style.display = 'block'; input.style.borderColor = 'var(–danger-color)'; return false; } return true; } function calculatePercentile() { var age = parseFloat(document.getElementById('age').value); var sex = document.getElementById('sex').value; var height = parseFloat(document.getElementById('height').value); var weight = parseFloat(document.getElementById('weight').value); var isValid = true; isValid = validateInput('age', 'ageError', 0, 240, false) && isValid; // Age in months, 0-20 years isValid = validateInput('height', 'heightError', 1, 250, false) && isValid; // Height in cm, plausible range isValid = validateInput('weight', 'weightError', 0.1, 200, false) && isValid; // Weight in kg, plausible range if (!isValid) { document.getElementById('resultsSection').style.display = 'none'; return; } // Placeholder for actual percentile calculation logic. // This requires using WHO/CDC growth chart data and algorithms (e.g., LMS method). // The 'getApproximatePercentile' function and dummy data are for demonstration only. var heightPercentile = '–'; var weightPercentile = '–'; var bmiPercentile = '–'; var mainResultText = '–'; // Select dummy data based on age and sex (simplified for 24 months) var currentHeightData, currentWeightData, currentBmiData; if (age >= 18 && age = 18 && age <= 30 && sex === 'male') { // Approximate range for 24m male currentHeightData = heightDataMale24m; currentWeightData = weightDataMale24m; currentBmiData = bmiDataMale24m; } else { // Fallback or use generic data if age/sex specific is not available // For this example, we'll stick to the 24m data as a placeholder if (sex === 'female') { currentHeightData = heightDataFemale24m; currentWeightData = weightDataFemale24m; currentBmiData = bmiDataFemale24m; } else { currentHeightData = heightDataMale24m; currentWeightData = weightDataMale24m; currentBmiData = bmiDataMale24m; } } heightPercentile = getApproximatePercentile(height, currentHeightData); weightPercentile = getApproximatePercentile(weight, currentWeightData); // Calculate BMI var heightInMeters = height / 100; var bmi = weight / (heightInMeters * heightInMeters); bmiPercentile = getApproximatePercentile(bmi, currentBmiData); // Determine main result based on BMI percentile var bmiStatus = ""; if (bmiPercentile !== '–') { if (parseFloat(bmiPercentile) = 5 && parseFloat(bmiPercentile) = 85 && parseFloat(bmiPercentile) = 95) { bmiStatus = "Obese"; mainResultText = bmiPercentile + "% (Obese)"; } else { mainResultText = bmiPercentile + "%"; } } else { mainResultText = bmiPercentile; } document.getElementById('mainResult').textContent = mainResultText; document.getElementById('heightPercentile').textContent = heightPercentile === '–' ? '–' : heightPercentile + '%'; document.getElementById('weightPercentile').textContent = weightPercentile === '–' ? '–' : weightPercentile + '%'; document.getElementById('bmiPercentile').textContent = bmiPercentile === '–' ? '–' : bmiPercentile + '%'; document.getElementById('ageAssumptionValue').textContent = age; document.getElementById('sexAssumptionValue').textContent = sex.charAt(0).toUpperCase() + sex.slice(1); document.getElementById('resultsSection').style.display = 'block'; } function resetCalculator() { document.getElementById('age').value = '24'; // Default to 24 months document.getElementById('sex').value = 'female'; // Default to Female document.getElementById('height').value = '86'; // Default typical height for 24m female document.getElementById('weight').value = '12'; // Default typical weight for 24m female // Clear errors document.getElementById('ageError').textContent = "; document.getElementById('ageError').style.display = 'none'; document.getElementById('heightError').textContent = "; document.getElementById('heightError').style.display = 'none'; document.getElementById('weightError').textContent = "; document.getElementById('weightError').style.display = 'none'; document.getElementById('age').style.borderColor = 'var(–border-color)'; document.getElementById('height').style.borderColor = 'var(–border-color)'; document.getElementById('weight').style.borderColor = 'var(–border-color)'; document.getElementById('resultsSection').style.display = 'none'; // Optionally, recalculate with defaults // calculatePercentile(); } function copyResults() { var mainResult = document.getElementById('mainResult').textContent; var heightPercentile = document.getElementById('heightPercentile').textContent; var weightPercentile = document.getElementById('weightPercentile').textContent; var bmiPercentile = document.getElementById('bmiPercentile').textContent; var age = document.getElementById('ageAssumptionValue').textContent; var sex = document.getElementById('sexAssumptionValue').textContent; if (mainResult === '–') return; // Don't copy if no results yet var resultText = "Height and Weight Percentile Results:\n"; resultText += "———————————-\n"; resultText += "Main Result (BMI Percentile): " + mainResult + "\n"; resultText += "Height Percentile: " + heightPercentile + "\n"; resultText += "Weight Percentile: " + weightPercentile + "\n"; resultText += "BMI Percentile: " + bmiPercentile + "\n"; resultText += "\nAssumptions:\n"; resultText += "Age: " + age + " months\n"; resultText += "Sex: " + sex + "\n"; // Use navigator.clipboard for modern browsers, fallback to prompt for older ones if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(resultText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Could not copy text: ', err); prompt('Copy this text:', resultText); }); } else { // Fallback for older browsers prompt('Copy this text:', resultText); } } // Initialize the chart on page load document.addEventListener('DOMContentLoaded', function() { initializeChart(); // Set default values and trigger calculation if desired resetCalculator(); // Set sensible defaults // calculatePercentile(); // Optionally calculate immediately with defaults }); // Re-calculate on input change if desired, for real-time updates var ageInput = document.getElementById('age'); var sexInput = document.getElementById('sex'); var heightInput = document.getElementById('height'); var weightInput = document.getElementById('weight'); ageInput.addEventListener('input', calculatePercentile); sexInput.addEventListener('change', calculatePercentile); heightInput.addEventListener('input', calculatePercentile); weightInput.addEventListener('input', calculatePercentile);

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