Height and Weight Chart Percentile Calculator

Height and Weight Chart Percentile Calculator & Guide :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ccc; –shadow-color: rgba(0, 0, 0, 0.1); –card-background: #fff; } 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; justify-content: center; padding: 20px 0; } .main-container { width: 100%; max-width: 960px; margin: 0 auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: 0 4px 12px var(–shadow-color); } header { background-color: var(–primary-color); color: #fff; padding: 20px; text-align: center; border-radius: 8px 8px 0 0; margin: -20px -20px 20px -20px; } header h1 { margin: 0; font-size: 2em; font-weight: 700; } .calculator-section { margin-bottom: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); 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Height and Weight Chart Percentile Calculator

Growth Chart Percentile Calculator

Enter the child's age in months.
Enter the child's height in centimeters.
Enter the child's weight in kilograms.
Boy Girl Select the child's gender.

Your Results

Height Percentile: —
Weight Percentile: —
BMI: —
Percentiles indicate how a child's measurement compares to other children of the same age and gender. For example, the 50th percentile means the child is at the average for that measurement.

Growth Chart Visualization (Simulated)

This chart visually represents the calculated percentile against typical growth ranges.

What is a Height and Weight Chart Percentile Calculator?

A height and weight chart percentile calculator is a specialized tool designed to help parents, caregivers, and healthcare professionals understand a child's growth in relation to established standards. It takes a child's age, height, weight, and gender as input and outputs their position on a standardized growth chart, expressed as a percentile. This means, for example, if a child is at the 75th percentile for height, it indicates they are taller than 75% of children of the same age and gender. Conversely, the 25th percentile means they are shorter than 75% of their peers.

These calculators are invaluable for monitoring a child's physical development over time. They are based on growth charts, most commonly those developed by the Centers for Disease Control and Prevention (CDC) in the United States, which are widely used globally. These charts track expected growth patterns from birth up to age 20.

Who Should Use It?

  • Parents and Guardians: To proactively monitor their child's growth and discuss concerns with healthcare providers.
  • Pediatricians and Healthcare Providers: As a quick reference tool during well-child check-ups to assess growth trajectories.
  • Child Development Specialists: To identify potential developmental or nutritional concerns.

Common Misconceptions

  • Percentiles are not rigid targets: A child doesn't need to be at the 50th percentile to be considered healthy. Consistent growth along their own percentile curve is often more important than hitting a specific number.
  • Percentiles don't diagnose: While they indicate deviation from the norm, percentiles alone don't diagnose medical conditions. A doctor's interpretation is crucial.
  • Charts vary: While CDC charts are common, WHO charts are often used for infants and young children under two. Ensure you are using the appropriate chart.

Height and Weight Chart Percentile Formula and Mathematical Explanation

The calculation of percentiles for height and weight is not a simple, single formula that works universally. Instead, it relies on complex statistical models derived from extensive population data, often using methods like the LMS (Lambda-Mu-Sigma) method. This method represents the median (M), the coefficient of variation (S), and the smoothing (L) of the distribution for each age and gender. For simplicity and practical calculator implementation, we often rely on pre-computed tables or approximations based on these statistical models.

The core idea is to compare a child's measurement (height or weight) to the distribution of measurements for children of the same age and gender. The percentile is the percentage of children whose measurements fall below a given value.

Variables and Interpretation

Variable Meaning Unit Typical Range (for calculator inputs)
Age Child's age Months 0 – 240 (0-20 years)
Height Child's measured height Centimeters (cm) 0.1 – 200 cm
Weight Child's measured weight Kilograms (kg) 0.1 – 150 kg
Gender Child's biological sex Categorical Boy, Girl
Percentile The percentage of children below this measurement % 0 – 100
BMI Body Mass Index, a ratio of weight to height kg/m² Varies significantly with age and sex

BMI Calculation: While not directly used for percentile *lookup*, BMI is a crucial intermediate value calculated as: BMI = Weight (kg) / (Height (m))^2 Note: Height must be converted to meters (cm / 100).

Percentile Lookup: The actual percentile is found by referencing complex statistical tables or by using software that implements the LMS method. For this calculator, we use simplified, approximate lookup tables for demonstration. A true implementation would require extensive data tables derived from CDC or WHO standards.

Practical Examples (Real-World Use Cases)

Example 1: Monitoring a Toddler's Growth

Scenario: A parent is concerned because their 18-month-old son, Leo, seems smaller than other children his age. They decide to use the calculator.

Inputs:

  • Age: 18 months
  • Height: 76 cm
  • Weight: 10.5 kg
  • Gender: Boy

Calculator Output:

  • Height Percentile: ~40th percentile
  • Weight Percentile: ~35th percentile
  • BMI: ~17.0 kg/m²
  • Primary Result (e.g., Weight for Age Percentile): ~35th percentile

Interpretation: Leo is growing well, sitting around the 35th to 40th percentile for both height and weight. This means he is taller and heavier than about 35-40% of 18-month-old boys. His growth is consistent, which is a positive sign. His BMI percentile would also be checked against age-specific charts, but these numbers suggest healthy growth within the typical range.

Example 2: Assessing a Baby's Weight Gain

Scenario: A 6-month-old baby girl, Maya, is exclusively breastfed. Her pediatrician wants to check if her weight gain is on track.

Inputs:

  • Age: 6 months
  • Height: 67 cm
  • Weight: 8.2 kg
  • Gender: Girl

Calculator Output:

  • Height Percentile: ~55th percentile
  • Weight Percentile: ~65th percentile
  • BMI: ~18.3 kg/m²
  • Primary Result (e.g., Height for Age Percentile): ~55th percentile

Interpretation: Maya is growing robustly. Her height is around the 55th percentile, and her weight is even higher, around the 65th percentile for a 6-month-old girl. This indicates she is taller than average and heavier than about 65% of her peers. Her BMI percentile would be evaluated by a doctor, but generally, this suggests healthy weight gain for her height. Consistent tracking on these charts is key.

How to Use This Height and Weight Chart Percentile Calculator

Using this calculator is straightforward. Follow these steps to get your child's growth percentile:

  1. Gather Accurate Measurements: Ensure you have precise measurements for your child's age (in months), height (in centimeters), and weight (in kilograms). Inaccurate measurements will lead to inaccurate results.
  2. Enter Age: Input the child's exact age in months into the 'Age (Months)' field.
  3. Enter Height: Input the child's height in centimeters into the 'Height (cm)' field.
  4. Enter Weight: Input the child's weight in kilograms into the 'Weight (kg)' field.
  5. Select Gender: Choose 'Boy' or 'Girl' from the dropdown menu.
  6. Click Calculate: Press the 'Calculate Percentile' button.

How to Read the Results

  • Primary Result: This highlights the main percentile calculated (e.g., Weight for Age Percentile), giving you the most crucial number.
  • Height Percentile: Shows where the child's height ranks compared to others of the same age and gender.
  • Weight Percentile: Shows where the child's weight ranks compared to others of the same age and gender.
  • BMI: Body Mass Index, calculated from height and weight. This is often plotted on a separate BMI-for-age chart.
  • Explanation: Provides context on what percentiles mean.

Decision-Making Guidance

These results are a snapshot. Consult with a pediatrician or healthcare provider for a complete assessment. They will consider the percentile **trends** over time, the child's overall health, and other developmental milestones. Rapid changes in percentile (moving up or down significantly) might warrant further investigation, while a child consistently tracking along a particular percentile is often considered normal.

Use the 'Copy Results' button to easily share the data with your doctor or save it for your records. The 'Reset' button allows you to start fresh for another child or measurement.

Key Factors That Affect Height and Weight Chart Results

While growth charts provide a standardized comparison, several factors can influence a child's position on these charts and their overall growth trajectory:

  1. Genetics: A child's genetic makeup plays a significant role in their potential height and frame size. If parents are tall, their children are more likely to be tall as well.
  2. Nutrition: Adequate intake of essential nutrients (proteins, vitamins, minerals) is crucial for proper growth. Malnutrition can stunt growth, while overfeeding can lead to excessive weight gain.
  3. Health Conditions: Certain chronic illnesses, hormonal imbalances (like growth hormone deficiency or thyroid issues), or genetic syndromes can significantly impact growth patterns.
  4. Physical Activity Levels: Regular exercise contributes to healthy weight management and muscle development, influencing both height and weight percentiles. Sedentary lifestyles can contribute to higher weight percentiles.
  5. Birth Weight and Gestational Age: Premature babies or those with low birth weight might follow a different growth curve initially, often catching up over time. The appropriate charts should be used for premature infants.
  6. Socioeconomic Factors: Access to quality healthcare, nutritious food, and safe environments can indirectly influence a child's growth.
  7. Puberty Timing: The timing of puberty can significantly affect growth spurts. Children who start puberty earlier or later than average might temporarily appear outside their usual percentile ranges.
  8. Measurement Accuracy: As simple as it sounds, incorrect measurement techniques (e.g., not measuring height correctly, using an inaccurate scale) are common factors leading to skewed results and potentially unnecessary worry.

Frequently Asked Questions (FAQ)

What is the difference between CDC and WHO growth charts?
WHO growth charts are recommended for children from birth to 2 years old worldwide, emphasizing optimal growth under ideal conditions. CDC growth charts are typically used for children aged 2 to 20 in the United States, reflecting growth in a general US population.
Is it bad if my child is not in the 50th percentile?
No, not necessarily. The 50th percentile represents the average. Children are considered to be growing normally if they are consistently tracking along their own percentile curve, whether it's the 10th, 50th, or 90th percentile. A sudden change in percentile is usually more noteworthy than the percentile itself.
How often should my child's height and weight be measured?
During infancy and early childhood, regular measurements are taken at well-child check-ups, typically every few months. As children get older, annual measurements are common. Your pediatrician will advise on the appropriate schedule.
What does a high BMI percentile mean?
A high BMI percentile for age and gender may indicate that a child is overweight or obese. This requires discussion with a healthcare provider to assess potential health risks and develop strategies for healthy weight management.
Can ethnicity affect growth percentiles?
While the CDC and WHO charts aim for broad applicability, there can be genetic variations influencing growth patterns across different ethnic groups. However, these charts are generally considered the standard for assessing growth globally.
What if my child is very muscular?
Muscle mass can influence weight. A very muscular child might have a higher weight percentile relative to their height, but this doesn't necessarily mean they are unhealthy if their BMI percentile is within a normal range. A doctor's assessment is key.
Is it possible to be too tall or too short?
If a child falls significantly outside the typical growth curve (e.g., consistently below the 3rd or above the 97th percentile), a pediatrician may investigate underlying causes, such as hormonal issues, genetic conditions, or nutritional deficiencies.
What data sources are used for these calculations?
This calculator uses generalized data approximations based on CDC growth standards. For precise medical evaluations, always refer to official CDC or WHO growth charts and consult with a healthcare professional.

Related Tools and Internal Resources

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// Dummy data for chart simulation – In a real scenario, this would be more complex and based on actual percentile tables. // These represent approximate 3rd, 50th, and 97th percentiles for height (cm) by age (months) for a specific gender (e.g., boy). var dummyGrowthData = { boy: { height: [ {age: 0, p3: 45.0, p50: 50.0, p97: 55.0}, {age: 3, p3: 56.0, p50: 61.0, p97: 67.0}, {age: 6, p3: 63.0, p50: 69.0, p97: 75.0}, {age: 9, p3: 69.0, p50: 75.0, p97: 82.0}, {age: 12, p3: 72.0, p50: 80.0, p97: 88.0}, {age: 18, p3: 78.0, p50: 87.0, p97: 96.0}, {age: 24, p3: 82.0, p50: 91.0, p97: 100.0}, {age: 36, p3: 88.0, p50: 98.0, p97: 108.0}, {age: 48, p3: 94.0, p50: 104.0, p97: 115.0}, {age: 60, p3: 99.0, p50: 110.0, p97: 121.0} ], weight: [ {age: 0, p3: 2.5, p50: 3.5, p97: 4.5}, {age: 3, p3: 4.5, p50: 6.0, p97: 7.5}, {age: 6, p3: 6.0, p50: 7.5, p97: 9.5}, {age: 9, p3: 7.0, p50: 8.5, p97: 11.0}, {age: 12, p3: 7.8, p50: 9.5, p97: 12.5}, {age: 18, p3: 8.5, p50: 10.5, p97: 14.0}, {age: 24, p3: 9.0, p50: 11.5, p97: 15.5}, {age: 36, p3: 10.0, p50: 13.0, p97: 17.0}, {age: 48, p3: 11.0, p50: 14.5, p97: 19.0}, {age: 60, p3: 12.0, p50: 16.0, p97: 21.0} ] }, girl: { height: [ {age: 0, p3: 44.0, p50: 49.0, p97: 54.0}, {age: 3, p3: 55.0, p50: 60.0, p97: 66.0}, {age: 6, p3: 62.0, p50: 67.0, p97: 73.0}, {age: 9, p3: 67.0, p50: 73.0, p97: 80.0}, {age: 12, p3: 70.0, p50: 77.0, p97: 85.0}, {age: 18, p3: 75.0, p50: 83.0, p97: 92.0}, {age: 24, p3: 80.0, p50: 88.0, p97: 97.0}, {age: 36, p3: 86.0, p50: 95.0, p97: 105.0}, {age: 48, p3: 92.0, p50: 102.0, p97: 113.0}, {age: 60, p3: 97.0, p50: 107.0, p97: 118.0} ], weight: [ {age: 0, p3: 2.4, p50: 3.3, p97: 4.4}, {age: 3, p3: 4.3, p50: 5.7, p97: 7.2}, {age: 6, p3: 5.8, p50: 7.2, p97: 9.0}, {age: 9, p3: 6.7, p50: 8.1, p97: 10.5}, {age: 12, p3: 7.5, p50: 9.0, p97: 11.5}, {age: 18, p3: 8.2, p50: 10.0, p97: 13.0}, {age: 24, p3: 8.8, p50: 11.0, p97: 14.5}, {age: 36, p3: 9.8, p50: 12.5, p97: 16.0}, {age: 48, p3: 10.8, p50: 14.0, p97: 18.0}, {age: 60, p3: 11.8, p50: 15.5, p97: 20.0} ] } }; var chart = null; function validateInput(id, min, max, type = 'number') { var input = document.getElementById(id); var errorDiv = document.getElementById(id + "Error"); var value = parseFloat(input.value); errorDiv.style.display = 'none'; // Hide error by default if (isNaN(value)) { errorDiv.textContent = "Please enter a valid number."; errorDiv.style.display = 'block'; return false; } if (type === 'number') { if (value max) { errorDiv.textContent = "Value is too high."; errorDiv.style.display = 'block'; return false; } } return true; } function calculatePercentile() { var ageMonths = parseFloat(document.getElementById('age').value); var heightCm = parseFloat(document.getElementById('height').value); var weightKg = parseFloat(document.getElementById('weight').value); var gender = document.getElementById('gender').value; // Input Validation var isValid = true; if (!validateInput('age', 0, 240)) isValid = false; // Ages up to 20 years (240 months) if (!validateInput('height', 0.1, 250)) isValid = false; // Max height around 2.5m if (!validateInput('weight', 0.1, 200)) isValid = false; // Max weight around 200kg if (!isValid) { document.getElementById('primaryResult').textContent = "–"; document.getElementById('heightPercentile').textContent = "Height Percentile: –"; document.getElementById('weightPercentile').textContent = "Weight Percentile: –"; document.getElementById('bmi').textContent = "BMI: –"; updateChart([], [], [], []); // Clear chart return; } var growthData = dummyGrowthData[gender]; if (!growthData) { alert("Invalid gender selected."); return; } // — Percentile Calculation Logic (Simplified Lookup) — // This is a placeholder. A real calculator would use interpolation or statistical functions. // Function to find percentile from sorted data array function findPercentile(value, dataArray, key) { // Find the closest data point, and interpolate if needed. // This is a highly simplified version. Real percentile calculation is complex. var closest = null; var lower = null; var upper = null; for (var i = 0; i < dataArray.length; i++) { if (dataArray[i].age === value) { closest = dataArray[i]; break; } else if (dataArray[i].age value && !lower) { // If the value is before the first data point upper = dataArray[i]; break; } else if (dataArray[i].age > value && lower) { upper = dataArray[i]; break; } } if (closest) { return closest[key]; } if (!lower || !upper) { // If value is outside the range of our dummy data, extrapolate or return boundary if (!lower) return dataArray[0][key]; // Before first point if (!upper) return dataArray[dataArray.length – 1][key]; // After last point return "N/A"; // Should not happen with valid inputs } // Simple linear interpolation var ageDiff = upper.age – lower.age; var valueDiff = upper[key] – lower[key]; var ageRatio = (value – lower.age) / ageDiff; return lower[key] + (valueDiff * ageRatio); } var heightP3 = findPercentile(ageMonths, growthData.height, 'p3'); var heightP50 = findPercentile(ageMonths, growthData.height, 'p50'); var heightP97 = findPercentile(ageMonths, growthData.height, 'p97'); var weightP3 = findPercentile(ageMonths, growthData.weight, 'p3'); var weightP50 = findPercentile(ageMonths, growthData.weight, 'p50'); var weightP97 = findPercentile(ageMonths, growthData.weight, 'p97'); // — Simplified percentile calculation based on interpolation — // A true percentile calculation involves complex statistical functions (like LMS method) // Here, we are approximating the percentile rank based on how the input value falls between theoretical percentiles. // This requires mapping the input value to a rank within the distribution. // For demonstration, let's assume a basic ranking system. // A more robust solution would use a library or extensive data tables. var heightPercentile = calculateApproxPercentile(heightCm, heightP3, heightP50, heightP97); var weightPercentile = calculateApproxPercentile(weightKg, weightP3, weightP50, weightP97); // BMI Calculation var heightM = heightCm / 100; var bmi = (weightKg / (heightM * heightM)).toFixed(1); // — Determine Primary Result — // Let's make Weight Percentile the primary result for this example, as weight gain is often a key concern. var primaryResultText = "Weight Percentile: " + weightPercentile.toFixed(1) + "th"; // — Display Results — document.getElementById('primaryResult').textContent = primaryResultText; document.getElementById('heightPercentile').textContent = "Height Percentile: " + heightPercentile.toFixed(1) + "th"; document.getElementById('weightPercentile').textContent = "Weight Percentile: " + weightPercentile.toFixed(1) + "th"; document.getElementById('bmi').textContent = "BMI: " + bmi + " kg/m²"; // — Update Chart — var chartLabels = growthData.height.map(function(d) { return d.age; }); var chartDataP3H = growthData.height.map(function(d) { return d.p3; }); var chartDataP50H = growthData.height.map(function(d) { return d.p50; }); var chartDataP97H = growthData.height.map(function(d) { return d.p97; }); var chartDataP3W = growthData.weight.map(function(d) { return d.p3; }); var chartDataP50W = growthData.weight.map(function(d) { return d.p50; }); var chartDataP97W = growthData.weight.map(function(d) { return d.p97; }); updateChart(chartLabels, [chartDataP3H, chartDataP50H, chartDataP97H], [chartDataP3W, chartDataP50W, chartDataP97W]); } // Helper function for approximate percentile calculation function calculateApproxPercentile(value, p3, p50, p97) { // This is a very simplified linear mapping. // Real calculations involve complex statistical distributions. if (value p97) return 97; if (value === p50) return 50; var percentile; if (value < p50) { // Interpolate between 3rd and 50th percentile = 3 + ((value – p3) / (p50 – p3)) * 47; } else { // Interpolate between 50th and 97th percentile = 50 + ((value – p50) / (p97 – p50)) * 47; } return percentile; } function resetCalculator() { document.getElementById('age').value = '12'; document.getElementById('height').value = '75'; document.getElementById('weight').value = '9.5'; document.getElementById('gender').value = 'boy'; document.getElementById('ageError').style.display = 'none'; document.getElementById('heightError').style.display = 'none'; document.getElementById('weightError').style.display = 'none'; document.getElementById('primaryResult').textContent = "–"; document.getElementById('heightPercentile').textContent = "Height Percentile: –"; document.getElementById('weightPercentile').textContent = "Weight Percentile: –"; document.getElementById('bmi').textContent = "BMI: –"; updateChart([], [], [], []); // Clear chart } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var heightPercentile = document.getElementById('heightPercentile').textContent; var weightPercentile = document.getElementById('weightPercentile').textContent; var bmi = document.getElementById('bmi').textContent; var explanation = document.querySelector('#result .explanation span').textContent; var resultsText = "— Growth Chart Percentile Results —\n\n"; resultsText += "Primary Result: " + primaryResult + "\n"; resultsText += heightPercentile + "\n"; resultsText += weightPercentile + "\n"; resultsText += bmi + "\n\n"; resultsText += "Key Assumption: Percentiles are based on CDC-like growth standards for the specified age, height, weight, and gender.\n"; resultsText += "Interpretation: " + explanation; // Using a temporary textarea to copy text var tempTextArea = document.createElement("textarea"); tempTextArea.value = resultsText; tempTextArea.style.position = "absolute"; tempTextArea.style.left = "-9999px"; // Move off-screen document.body.appendChild(tempTextArea); tempTextArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Failed to copy results.'; console.log(msg); // Optionally show a temporary message to the user var copyButton = document.querySelector('.copy-button'); var originalText = copyButton.textContent; copyButton.textContent = 'Copied!'; setTimeout(function() { copyButton.textContent = originalText; }, 1500); } catch (err) { console.error('Unable to copy results.', err); var copyButton = document.querySelector('.copy-button'); copyButton.textContent = 'Error!'; setTimeout(function() { copyButton.textContent = 'Copy Results'; }, 1500); } finally { document.body.removeChild(tempTextArea); } } // Charting Function (using native Canvas) function updateChart(labels, dataSeriesHeight, dataSeriesWeight) { var ctx = document.getElementById('growthChart').getContext('2d'); // Destroy previous chart instance if it exists if (chart) { chart.destroy(); } // Prepare data for chart var chartDatasets = []; // Height Data Series chartDatasets.push({ label: 'Height (cm) – 3rd Percentile', data: dataSeriesHeight[0] || [], borderColor: '#ADD8E6', // Light Blue backgroundColor: 'rgba(173, 216, 230, 0.2)', fill: false, pointRadius: 3, pointHoverRadius: 5, tension: 0.1 }); chartDatasets.push({ label: 'Height (cm) – 50th Percentile', data: dataSeriesHeight[1] || [], borderColor: '#87CEEB', // Sky Blue backgroundColor: 'rgba(135, 206, 235, 0.2)', fill: false, pointRadius: 3, pointHoverRadius: 5, tension: 0.1 }); chartDatasets.push({ label: 'Height (cm) – 97th Percentile', data: dataSeriesHeight[2] || [], borderColor: '#4682B4', // Steel Blue backgroundColor: 'rgba(70, 130, 180, 0.2)', fill: false, pointRadius: 3, pointHoverRadius: 5, tension: 0.1 }); // Weight Data Series chartDatasets.push({ label: 'Weight (kg) – 3rd Percentile', data: dataSeriesWeight[0] || [], borderColor: '#FFB6C1', // Light Pink backgroundColor: 'rgba(255, 182, 193, 0.2)', fill: false, pointRadius: 3, pointHoverRadius: 5, tension: 0.1 }); chartDatasets.push({ label: 'Weight (kg) – 50th Percentile', data: dataSeriesWeight[1] || [], borderColor: '#FF69B4', // Hot Pink backgroundColor: 'rgba(255, 105, 180, 0.2)', fill: false, pointRadius: 3, pointHoverRadius: 5, tension: 0.1 }); chartDatasets.push({ label: 'Weight (kg) – 97th Percentile', data: dataSeriesWeight[2] || [], borderColor: '#C71585', // Medium Violet Red backgroundColor: 'rgba(199, 21, 133, 0.2)', fill: false, pointRadius: 3, pointHoverRadius: 5, tension: 0.1 }); chart = new Chart(ctx, { type: 'line', data: { labels: labels, datasets: chartDatasets }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: 'Measurement (cm / kg)' }, beginAtZero: false // Adjust as needed based on data range } }, plugins: { title: { display: true, text: 'Simulated Growth Percentiles Over Age' }, legend: { position: 'top', } } } }); } // Initial calculation on page load with default values document.addEventListener('DOMContentLoaded', function() { resetCalculator(); // Set defaults calculatePercentile(); // Calculate based on defaults });

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