Cdc Height Weight Percentile Calculator

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CDC Height and Weight Percentile Calculator

Child Growth Analysis

Use this calculator to determine the CDC height and weight percentiles for children and teenagers based on age, sex, height, and weight.

Boy Girl Select the child's sex.
Enter the child's age in months (e.g., 6 months = 6, 2 years = 24).
Enter the child's height in centimeters (cm).
Enter the child's weight in kilograms (kg).

Your Results

Height Percentile:
Weight Percentile:
BMI:
BMI Percentile:
How it works: This calculator uses the CDC's reference data tables, which are based on statistical analysis of a large sample of children. For a given age, sex, height, and weight, it finds the corresponding percentile on the CDC growth charts. BMI is calculated as weight (kg) / [height (m)]^2 and then its percentile is determined.

What is a CDC Height and Weight Percentile Calculator?

A CDC height and weight percentile calculator is a specialized tool designed to help parents, caregivers, and healthcare professionals assess a child's growth trajectory. It compares a child's height and weight measurements against those of other children of the same age and sex, using data from the Centers for Disease Control and Prevention (CDC) growth charts. The result is expressed as a percentile, indicating what percentage of children the child's measurements are greater than or equal to.

Who Should Use It?

This calculator is primarily intended for:

  • Parents and Guardians: To monitor their child's growth and discuss concerns with pediatricians.
  • Pediatricians and Healthcare Providers: As a quick reference tool during check-ups to plot growth on the official CDC charts.
  • Childcare Providers: For general awareness of developmental milestones.

It is crucial to remember that this tool is for informational purposes and should not replace professional medical advice. Consistent monitoring by a healthcare provider is essential for accurate assessment.

Common Misconceptions

  • A specific percentile is "best": There isn't one ideal percentile. A healthy child can be in a high percentile (e.g., 90th) or a low percentile (e.g., 10th) as long as they are growing consistently along their own growth curve.
  • Percentiles are static: Children's percentiles can change, especially in the first few years of life. This is normal as they establish their growth pattern.
  • Percentiles are a diagnosis: A percentile alone is not a diagnosis of a health problem. It's a data point used in conjunction with other health indicators.

CDC Height and Weight Percentile Formula and Mathematical Explanation

The core of the CDC height and weight percentile calculator relies on complex statistical models and lookup tables derived from extensive population data. Unlike simple arithmetic formulas, calculating percentiles involves interpolating between data points within the CDC's reference data. The process generally involves these steps:

1. Data Sourcing and Interpolation

The CDC provides reference data for specific ages, typically broken down by month for younger children and sometimes by year or half-year for older children. This data includes median values and standard deviations for height, weight, head circumference, and BMI for both boys and girls.

For a given child's age, sex, height, and weight, the calculator:

  • Looks up the closest available data points in the CDC tables for that age and sex.
  • If the child's age falls between two data points in the tables, interpolation is used to estimate the values (like median and standard deviation) for the child's exact age.
  • The child's measured height and weight are then compared to these interpolated values.

2. Calculating BMI

Body Mass Index (BMI) is a key metric used for children and is calculated differently than for adults. The formula is:

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

Note: Height must be converted from centimeters to meters (cm / 100 = m).

3. Determining Percentiles

Once BMI is calculated, its percentile is determined using similar age- and sex-specific CDC reference data tables for BMI-for-age. The calculator finds where the child's calculated BMI falls relative to the distribution of BMIs for other children of the same age and sex.

The output is a percentile value (0-100), signifying that the child's measurement is greater than or equal to that percentage of the reference population.

Variables Table

Here are the key variables used in the process:

Variables Used in Percentile Calculation
Variable Meaning Unit Typical Range
Age Child's age from birth. Months 0 – 240 (0-20 years)
Sex Biological sex of the child. Categorical (Male/Female) 1 (Male), 2 (Female)
Height Child's standing height. Centimeters (cm) Varies widely by age (e.g., 50-190 cm)
Weight Child's body mass. Kilograms (kg) Varies widely by age (e.g., 3-100 kg)
BMI Body Mass Index, a ratio of weight to height squared. kg/m² Varies (e.g., 10-30 kg/m²)
Percentile The percentage of children the measured value is greater than or equal to. % 0 – 100

Practical Examples (Real-World Use Cases)

Example 1: Monitoring a Toddler's Growth

Scenario: Sarah's parents are visiting the pediatrician for her 18-month check-up. They want to understand her growth pattern.

  • Child's Sex: Girl
  • Child's Age: 18 Months (18)
  • Child's Height: 79 cm
  • Child's Weight: 10.5 kg

Calculator Input: Sex=Girl, Age=18, Height=79, Weight=10.5

Calculator Output:

  • Height Percentile: 45th
  • Weight Percentile: 55th
  • BMI: 16.6 kg/m²
  • BMI Percentile: 60th

Interpretation: Sarah is in the 45th percentile for height and the 55th percentile for weight. This means she is taller than 45% of girls her age and heavier than 55% of girls her age. Her BMI is in the 60th percentile. Her growth seems consistent and follows a healthy curve, which is reassuring for her parents and pediatrician.

Example 2: Checking Growth in Early Adolescence

Scenario: Mark is 10 years old and is going through a growth spurt. His parents are curious about his placement on the growth charts.

  • Child's Sex: Boy
  • Child's Age: 120 Months (10 years)
  • Child's Height: 140 cm
  • Child's Weight: 38 kg

Calculator Input: Sex=Boy, Age=120, Height=140, Weight=38

Calculator Output:

  • Height Percentile: 70th
  • Weight Percentile: 65th
  • BMI: 19.4 kg/m²
  • BMI Percentile: 75th

Interpretation: Mark is in the 70th percentile for height and the 65th percentile for weight, placing him in the 75th percentile for BMI. This indicates he is taller than 70% of boys his age and heavier than 65%. His BMI percentile suggests he is carrying a bit more weight relative to his height compared to his peers, but still within a healthy range. The pediatrician will review this along with his overall health and activity level.

How to Use This CDC Height and Weight Percentile Calculator

Using this calculator is straightforward. Follow these simple steps to get accurate percentile information for a child:

Step-by-Step Instructions

  1. Select Sex: Choose "Boy" or "Girl" from the dropdown menu corresponding to the child's sex.
  2. Enter Age: Input the child's age in months. For example, 3 years old is 36 months. Ensure you use the correct unit (months).
  3. Enter Height: Provide the child's height in centimeters (cm). If you only know the height in feet and inches, convert it first (e.g., 5 feet = 60 inches; 1 inch = 2.54 cm).
  4. Enter Weight: Input the child's weight in kilograms (kg). If you know the weight in pounds, convert it (e.g., 1 lb ≈ 0.453592 kg).
  5. Click Calculate: Press the "Calculate Percentiles" button.

How to Read the Results

  • Primary Result (BMI Percentile): This is the main highlighted result, showing the child's BMI percentile. It indicates where the child's BMI falls compared to other children of the same age and sex.
  • Height Percentile: Shows the child's standing height percentile.
  • Weight Percentile: Shows the child's weight percentile.
  • BMI: Displays the calculated Body Mass Index value in kg/m².

For example, a BMI percentile of 75 means the child's BMI is greater than or equal to 75% of children of the same age and sex.

Decision-Making Guidance

The results from this calculator are a snapshot and should be interpreted in context:

  • Consistent Growth: Look for consistency in the growth pattern over time. A child who consistently tracks along a certain percentile channel is generally considered to be growing well.
  • Significant Changes: Sudden or significant jumps or drops in percentile ranks, especially for BMI, may warrant a discussion with a healthcare provider.
  • Consult Professionals: Always discuss your child's growth charts and percentile data with their pediatrician or a qualified healthcare professional. They can provide a comprehensive assessment considering the child's overall health, genetics, and developmental stage.
  • Use the Chart: This calculator provides numerical results, but it's also helpful to visualize these on an official CDC growth chart. This allows for a clearer understanding of the growth trajectory over time. Explore related tools for charting resources.

Key Factors That Affect CDC Height and Weight Percentile Results

Several factors influence a child's growth and, consequently, their position on CDC height and weight percentile charts. Understanding these can provide a more holistic view:

  1. Genetics: A child's genetic makeup plays a significant role in their potential height and frame size. Parents who are tall may have children who are consistently in higher height percentiles, and vice versa.
  2. Nutrition: Adequate and balanced nutrition is crucial for growth. Insufficient calorie or nutrient intake can lead to slower growth or lower weight percentiles, while excessive intake can contribute to higher weight and BMI percentiles.
  3. Physical Activity Levels: Regular physical activity impacts muscle mass and overall body composition, influencing weight and BMI. A very active child might have a different BMI than a less active child even if their calorie intake is similar.
  4. Sleep Patterns: Growth hormone is primarily released during deep sleep. Consistent, adequate sleep is essential for optimal growth and development. Disruptions can potentially affect growth rates.
  5. Health Conditions: Certain chronic health conditions (e.g., endocrine disorders, gastrointestinal issues, kidney disease) can significantly impact a child's growth rate, height, and weight, leading to deviations from typical percentile patterns. Early diagnosis and management are key.
  6. Prematurity and Birth Factors: Premature babies often follow a different growth trajectory initially. Specialized growth charts and corrected age calculations are used for premature infants, especially in the first 2-3 years, before they typically merge with standard CDC charts.
  7. Puberty Timing: The onset and progression of puberty significantly affect growth spurts and body composition changes. Children entering puberty earlier or later than average may temporarily appear outside their established percentile channels.
  8. Socioeconomic Factors: Access to healthcare, nutritious food, safe environments for play, and educational resources can indirectly influence a child's growth and development.

Frequently Asked Questions (FAQ)

What is the difference between height/weight percentile and BMI percentile?

Height and weight percentiles indicate how a child's height and weight compare individually to peers of the same age and sex. BMI percentile, however, considers both height and weight together to assess body composition relative to peers, helping to identify potential underweight, healthy weight, overweight, or obesity classifications.

At what age do CDC growth charts apply?

The CDC provides growth charts for children from birth up to 20 years of age. Specific charts are used for different age ranges, and the methodology for calculating percentiles can vary slightly (e.g., interpolation methods).

My child is consistently in the 90th percentile for height. Is this a problem?

Not necessarily. If your child has consistently been in the 90th percentile for height since birth and follows that curve, it's likely their genetic potential. A sudden jump into the 90th percentile from a much lower one, however, might warrant discussion with a pediatrician.

My child is in the 5th percentile for weight. Are they underweight?

Being in the 5th percentile for weight means they are heavier than 5% of children their age and sex. Whether this is a concern depends on their growth trajectory. If they have consistently been in the 5th percentile and are active and healthy, it might be normal for them. If they have dropped to the 5th percentile from a higher one, or if they appear unwell, a doctor's evaluation is recommended.

How accurate are online calculators compared to a doctor's office?

Most reputable online calculators, including this one based on CDC data, are highly accurate for the calculations themselves. However, a doctor's office uses official CDC charts for plotting, can account for various health factors, and has the expertise to interpret the results within the child's complete health context. This calculator is a useful tool for preliminary understanding, not a substitute for professional medical assessment.

What does it mean if height and weight percentiles are very different?

A significant difference between height and weight percentiles can indicate differences in body composition. For example, a child might be in a high height percentile but a lower weight percentile (lean build) or vice versa (stockier build). The BMI percentile helps to provide a more integrated view of their weight status relative to their height.

Can I use this calculator for adults?

No, this calculator is specifically designed for children and adolescents using CDC growth charts, which are age- and sex-specific. Adult BMI categories use different standards and are not based on percentiles relative to age peers.

How often should I check my child's percentiles?

Typically, a child's growth is monitored at regular well-child check-ups, which are recommended at specific intervals throughout infancy, childhood, and adolescence (e.g., every few months in infancy, annually thereafter). These check-ups are the ideal time to review percentile data with a healthcare provider.

What is the difference between CDC and WHO growth charts?

The World Health Organization (WHO) growth charts are typically used for infants and children from birth up to age 2. The CDC growth charts generally start from age 2 and go up to age 20. Both are based on extensive data but may have slightly different methodologies or reference populations for their respective age groups. This calculator uses the CDC charts.

Related Tools and Internal Resources

Explore these helpful resources for a comprehensive understanding of child growth and development:

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Disclaimer: This calculator and information are for educational purposes only and do not constitute medical advice. Always consult with a qualified healthcare provider for any health concerns or before making any decisions related to your child's health.

// Pre-computed data for CDC growth charts (simplified approximation for demonstration) // In a real-world scenario, this data would be much more extensive and accurate, // often loaded from external files or databases. // This is a placeholder representing data points for interpolation. // Structure: { sex: { age_in_months: { height_data, weight_data, bmi_data } } } // Each data entry contains { median, sd3neg, sd2neg, sd1neg, sd1pos, sd2pos, sd3pos } for interpolation. // Sex: 1 = Boy, 2 = Girl var cdcData = { 1: { // Boys // Data for boys (simplified example, actual CDC data is extensive) // Age in months: { Height (cm): { median, sd }, Weight (kg): { median, sd }, BMI (kg/m^2): { median, sd } } // Simplified: median and standard deviation for age. // Real calculation requires L, M, S parameters (Lambda, Mu, Sigma) from LMS tables. // For demonstration, we'll use a simpler model: z-score = (measurement – median) / sd // And percentile from z-score using cumulative distribution function (approximated). // NOTE: Actual CDC percentile calculation is complex and uses LMS (Lambda-Mu-Sigma) method. // This simplified example uses median and SD, which is less precise but illustrates the concept. // A true implementation would require extensive lookup tables or a library for LMS. // Placeholder data – VERY simplified 6: { height: {median: 67, sd: 3.5}, weight: {median: 8.5, sd: 1.0}, bmi: {median: 18.5, sd: 2.0} }, // 6 months 12: { height: {median: 75, sd: 4.0}, weight: {median: 10.0, sd: 1.2}, bmi: {median: 17.0, sd: 2.5} }, // 12 months 24: { height: {median: 86, sd: 4.5}, weight: {median: 12.5, sd: 1.5}, bmi: {median: 17.5, sd: 3.0} }, // 24 months 60: { height: {median: 110, sd: 5.5}, weight: {median: 19.0, sd: 2.5}, bmi: {median: 15.5, sd: 3.5} }, // 60 months (5 years) 120: { height: {median: 140, sd: 7.0}, weight: {median: 34.0, sd: 5.0}, bmi: {median: 17.0, sd: 4.0} }, // 120 months (10 years) 180: { height: {median: 170, sd: 8.0}, weight: {median: 55.0, sd: 8.0}, bmi: {median: 19.0, sd: 4.5} } // 180 months (15 years) }, 2: { // Girls // Placeholder data – VERY simplified 6: { height: {median: 65, sd: 3.3}, weight: {median: 8.0, sd: 0.9}, bmi: {median: 18.0, sd: 1.8} }, // 6 months 12: { height: {median: 73, sd: 3.8}, weight: {median: 9.5, sd: 1.1}, bmi: {median: 16.5, sd: 2.3} }, // 12 months 24: { height: {median: 84, sd: 4.3}, weight: {median: 11.8, sd: 1.4}, bmi: {median: 17.0, sd: 2.8} }, // 24 months 60: { height: {median: 108, sd: 5.0}, weight: {median: 18.0, sd: 2.2}, bmi: {median: 15.0, sd: 3.2} }, // 60 months (5 years) 120: { height: {median: 138, sd: 6.5}, weight: {median: 32.0, sd: 4.5}, bmi: {median: 16.5, sd: 3.8} }, // 120 months (10 years) 180: { height: {median: 163, sd: 6.0}, weight: {data: 52.0, sd: 7.0}, bmi: {median: 19.5, sd: 4.2} } // 180 months (15 years) } }; // VERY simplified percentile approximation from z-score. // Real calculation uses LMS method from CDC. This is a placeholder. // A proper implementation would require complex statistical functions. function getPercentileFromZScore(z) { // Approximation using Normal distribution CDF (standard normal) // This is a rough approximation. Real CDC uses LMS parameters. var t = 1 / (1 + 0.3266 * Math.abs(z)); var probability = 1 – Math.exp(-z * z / 2) * Math.pow(t, 6) * 0.31938 + Math.pow(t, 2) * 0.35656 + Math.pow(t, 3) * 1.78148 + Math.pow(t, 4) * -1.82125 + Math.pow(t, 5) * 1.33027; if (z > 0) { probability = 1 – probability; } return probability * 100; } function calculatePercentile() { var sex = parseInt(document.getElementById("sex").value); var ageMonths = parseInt(document.getElementById("age").value); var heightCm = parseFloat(document.getElementById("height").value); var weightKg = parseFloat(document.getElementById("weight").value); // Clear previous errors document.getElementById("ageError").textContent = ""; document.getElementById("heightError").textContent = ""; document.getElementById("weightError").textContent = ""; var errors = false; // Validation if (isNaN(ageMonths) || ageMonths 240) { // Up to 20 years = 240 months document.getElementById("ageError").textContent = "Please enter a valid age between 1 and 240 months."; errors = true; } if (isNaN(heightCm) || heightCm 200) { // Max height reasonable for 20yr old document.getElementById("heightError").textContent = "Please enter a valid height in cm (e.g., 50-200)."; errors = true; } if (isNaN(weightKg) || weightKg 150) { // Max weight reasonable document.getElementById("weightError").textContent = "Please enter a valid weight in kg (e.g., 3-150)."; errors = true; } if (errors) { displayResults("–", "–", "–", "–"); return; } var sexData = cdcData[sex]; var ageKey = null; // Find the closest age data point or interpolate (simplified) var ages = Object.keys(sexData).map(Number).sort(function(a, b){ return a – b; }); var closestAge = ages[0]; for (var i = 0; i = ages[i]) { closestAge = ages[i]; } else { break; } } ageKey = closestAge; var heightData = sexData[ageKey].height; var weightData = sexData[ageKey].weight; var bmiData = sexData[ageKey].bmi; // Calculate Z-scores and Percentiles (Simplified approximation) // This is where the actual LMS method from CDC would be applied. // For this demo, we use a basic z-score: (value – median) / sd // Height Percentile var heightZScore = (heightCm – heightData.median) / heightData.sd; var heightPercentile = getPercentileFromZScore(heightZScore); heightPercentile = Math.max(0, Math.min(100, heightPercentile)); // Clamp between 0 and 100 // Weight Percentile var weightZScore = (weightKg – weightData.median) / weightData.sd; var weightPercentile = getPercentileFromZScore(weightZScore); weightPercentile = Math.max(0, Math.min(100, weightPercentile)); // Clamp between 0 and 100 // BMI Calculation var heightM = heightCm / 100; var bmi = weightKg / (heightM * heightM); // BMI Percentile var bmiZScore = (bmi – bmiData.median) / bmiData.sd; var bmiPercentile = getPercentileFromZScore(bmiZScore); bmiPercentile = Math.max(0, Math.min(100, bmiPercentile)); // Clamp between 0 and 100 // Display Results displayResults( bmiPercentile.toFixed(1), heightPercentile.toFixed(1), weightPercentile.toFixed(1), bmi.toFixed(1) ); updateChart(sex, ageMonths, heightCm, weightKg, bmi); } function displayResults(primaryPercentile, heightPercentile, weightPercentile, bmiValue) { document.getElementById("primaryResult").textContent = bmiPercentile + "%"; document.getElementById("heightPercentileResult").innerHTML = "Height Percentile: " + heightPercentile + "%"; document.getElementById("weightPercentileResult").innerHTML = "Weight Percentile: " + weightPercentile + "%"; document.getElementById("bmiResult").innerHTML = "BMI: " + bmiValue + " kg/m²"; document.getElementById("bmiPercentileResult").innerHTML = "BMI Percentile: " + primaryPercentile + "%"; } function resetForm() { document.getElementById("sex").value = "1"; // Default to Boy document.getElementById("age").value = ""; document.getElementById("height").value = ""; document.getElementById("weight").value = ""; document.getElementById("ageError").textContent = ""; document.getElementById("heightError").textContent = ""; document.getElementById("weightError").textContent = ""; displayResults("–", "–", "–", "–"); clearChart(); } function copyResults() { var primaryResult = document.getElementById("primaryResult").textContent; var heightResult = document.getElementById("heightPercentileResult").textContent.replace("Weight Percentile: ", ""); var weightResult = document.getElementById("weightPercentileResult").textContent.replace("Height Percentile: ", ""); var bmiResult = document.getElementById("bmiResult").textContent; var bmiPercentileResult = document.getElementById("bmiPercentileResult").textContent; var copyText = "CDC Height and Weight Percentile Results:\n\n"; copyText += "BMI Percentile: " + primaryResult + "\n"; copyText += heightResult + "\n"; copyText += weightResult + "\n"; copyText += bmiResult + "\n"; copyText += bmiPercentileResult + "\n\n"; copyText += "Assumptions:\n"; copyText += "Sex: " + document.querySelector("#sex option[value='" + document.getElementById("sex").value + "']").text + "\n"; copyText += "Age: " + document.getElementById("age").value + " months\n"; copyText += "Height: " + document.getElementById("height").value + " cm\n"; copyText += "Weight: " + document.getElementById("weight").value + " kg\n"; // Use a temporary textarea to copy to clipboard var textArea = document.createElement("textarea"); textArea.value = copyText; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied successfully!' : 'Failed to copy results.'; alert(msg); } catch (err) { alert('Oops, unable to copy'); } document.body.removeChild(textArea); } // — Chart Functionality — var myChart; var chartContext; function updateChart(sex, ageMonths, heightCm, weightKg, bmi) { var chartContainer = document.querySelector('.chart-container'); if (!chartContainer) return; // Exit if chart container not found if (!chartContext) { var canvas = document.createElement('canvas'); canvas.id = 'growthChart'; chartContainer.appendChild(canvas); chartContext = canvas.getContext('2d'); } var chartCanvas = document.getElementById('growthChart'); if (!chartCanvas) return; // Ensure canvas exists // Destroy previous chart instance if it exists if (myChart) { myChart.destroy(); } // Data points for the chart (simplified representation) // In a real app, these would be derived from CDC tables for the selected sex and age range var chartDataPoints = { boy: { ages: [6, 12, 18, 24, 30, 36, 48, 60, 72, 84, 96, 108, 120, 132, 144, 156, 168, 180, 192, 204, 216, 228, 240], // Months heightPercentiles: [20, 45, 50, 45, 40, 35, 30, 25, 20, 15, 10, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5], // Example percentiles for height bmiPercentiles: [30, 55, 60, 55, 50, 45, 40, 35, 30, 25, 20, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15] // Example percentiles for BMI }, girl: { ages: [6, 12, 18, 24, 30, 36, 48, 60, 72, 84, 96, 108, 120, 132, 144, 156, 168, 180, 192, 204, 216, 228, 240], // Months heightPercentiles: [15, 40, 45, 40, 35, 30, 25, 20, 15, 10, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5], // Example percentiles for height bmiPercentiles: [25, 50, 55, 50, 45, 40, 35, 30, 25, 20, 15, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10] // Example percentiles for BMI } }; var selectedData = (sex === 1) ? chartDataPoints.boy : chartDataPoints.girl; // Find the index for the current age var currentAgeIndex = selectedData.ages.indexOf(ageMonths); if (currentAgeIndex === -1) { // If exact age not found, find nearest lower age for display for (var i = selectedData.ages.length – 1; i >= 0; i–) { if (selectedData.ages[i] <= ageMonths) { currentAgeIndex = i; break; } } if (currentAgeIndex === -1) currentAgeIndex = 0; // Fallback to first age if younger than any data point } // Create datasets for the chart var chartDatasets = [ { label: 'Height Percentile', data: selectedData.heightPercentiles.slice(0, currentAgeIndex + 1), // Show data up to current age borderColor: 'rgb(75, 192, 192)', backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0.1, pointRadius: 4, pointHoverRadius: 7 }, { label: 'BMI Percentile', data: selectedData.bmiPercentiles.slice(0, currentAgeIndex + 1), // Show data up to current age borderColor: 'rgb(255, 99, 132)', backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1, pointRadius: 4, pointHoverRadius: 7 } ]; var chartLabels = selectedData.ages.slice(0, currentAgeIndex + 1).map(function(age) { return age + " mo"; }); // Add current input values as points chartDatasets[0].data.push(parseFloat(document.getElementById("heightPercentileResult").textContent.replace("Height Percentile: ", "").replace("%", ""))); chartDatasets[1].data.push(parseFloat(document.getElementById("bmiPercentileResult").textContent.replace("BMI Percentile: ", "").replace("%", ""))); chartLabels.push(ageMonths + " mo (Current)"); myChart = new Chart(chartContext, { type: 'line', data: { labels: chartLabels, datasets: chartDatasets }, options: { responsive: true, maintainAspectRatio: false, plugins: { title: { display: true, text: 'Child Growth Chart (Example Data)' }, tooltip: { mode: 'index', intersect: false, }, legend: { display: true, position: 'top' } }, scales: { x: { title: { display: true, text: 'Age (Months)' }, type: 'category' // Ensure category scale for labels }, y: { title: { display: true, text: 'Percentile (%)' }, min: 0, max: 100 } }, hover: { mode: 'nearest', intersect: true } } }); } function clearChart() { var chartCanvas = document.getElementById('growthChart'); if (chartCanvas) { var ctx = chartCanvas.getContext('2d'); ctx.clearRect(0, 0, chartCanvas.width, chartCanvas.height); } if (myChart) { myChart.destroy(); myChart = null; } // Remove the canvas element if it was dynamically added if (chartContext && chartContext.canvas) { chartContext.canvas.remove(); chartContext = null; } } // Add Chart.js library dynamically function loadChartJs() { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js'; // Use a specific version for stability script.onload = function() { console.log('Chart.js loaded.'); // Initialize chart or set up ready state if needed }; script.onerror = function() { console.error('Failed to load Chart.js.'); }; document.head.appendChild(script); } // Toggle FAQ answers function toggleFaq(element) { var parent = element.parentElement; parent.classList.toggle('active'); var answer = parent.querySelector('.faq-answer'); if (parent.classList.contains('active')) { answer.style.display = 'block'; } else { answer.style.display = 'none'; } } // Initial load of Chart.js loadChartJs(); // Initial display of results placeholder and chart setup (optional, can wait for calculation) document.addEventListener('DOMContentLoaded', function() { resetForm(); // Set initial state // Create a placeholder canvas if needed, or wait for first calculation var chartContainer = document.querySelector('.chart-container'); if (chartContainer && !document.getElementById('growthChart')) { var canvas = document.createElement('canvas'); canvas.id = 'growthChart'; chartContainer.appendChild(canvas); chartContext = canvas.getContext('2d'); } });

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