Cdc Height and Weight Percentile Calculator

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CDC Height and Weight Percentile Calculator

Understand your child's growth trajectory by comparing their measurements to national CDC standards.

Growth Percentile Calculator

Enter age in full months.
Male Female Select the child's biological sex.
Weight Height Head Circumference Choose what you want to measure.
Enter the measured value in the correct unit.

Your Child's Growth Results

Age: months
Sex:
Measurement:
Value:
Percentile Rank:
Percentiles are determined by comparing a child's measurement to a reference population of children of the same age and sex. A percentile rank indicates that a child's measurement is greater than or equal to that percentage of children in the reference group.
Results copied to clipboard!

Growth Data Table

Male Weight Female Weight Male Height Female Height
CDC Growth Data (Example for Weight in kg)
Age (Months) 50th %ile (Male) 50th %ile (Female) 95th %ile (Male) 95th %ile (Female)

What is a CDC Height and Weight Percentile Calculator?

A CDC height and weight percentile calculator is a tool designed to help parents, caregivers, and healthcare professionals assess a child's growth relative to national standards. The Centers for Disease Control and Prevention (CDC) provides growth charts based on data from a large, representative sample of children in the United States. These charts allow for the calculation of a child's percentile rank for height, weight, and sometimes head circumference, based on their age and sex. This percentile rank indicates how a child's measurement compares to other children of the same age and sex. For instance, if a child is at the 75th percentile for weight, it means their weight is greater than or equal to 75% of children of the same age and sex in the reference population.

Who should use it?

  • Parents and Guardians: To monitor their child's growth and development between pediatrician visits.
  • Pediatricians and Healthcare Providers: As a standard tool for assessing nutritional status, identifying potential growth issues (like failure to thrive or obesity), and tracking progress over time.
  • Childcare Providers: To ensure children in their care are meeting general growth expectations.

Common Misconceptions:

  • Misconception: Being below the 50th percentile means a child is underweight or not growing properly. Reality: Any percentile between the 5th and 95th is generally considered within the normal growth range. The 50th percentile is simply the average.
  • Misconception: A child must stay on the exact same percentile line throughout their growth. Reality: It's normal for a child's percentile to fluctuate slightly, especially during growth spurts or periods of rapid development. Consistent tracking is more important than hitting a specific number.
  • Misconception: Percentiles are a definitive measure of health. Reality: Percentiles are just one indicator. A child's overall health, energy levels, developmental milestones, and medical history are crucial for a complete picture.

CDC Height and Weight Percentile Calculator Formula and Mathematical Explanation

The CDC height and weight percentile calculator doesn't rely on a single, simple algebraic formula that can be entered into a basic calculator. Instead, it uses complex statistical models and reference data derived from the CDC's growth charts. These charts are based on the LMS (Lambda, Mu, Sigma) method, which models the 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, and 97th percentiles. The LMS method estimates the median (Mu, M), the coefficient of variation (Sigma, S), and a transformation factor (Lambda, L) for each age and sex group. These parameters are then used to calculate the specific percentile for a given measurement.

Simplified Explanation of the Process:

  1. Data Collection: The CDC collects height and weight data from a large sample of children.
  2. LMS Parameter Calculation: For each age and sex, statistical methods are used to determine the L, M, and S values that best fit the distribution of measurements at that age.
  3. Z-score Calculation: A child's measurement (X) is converted into a Z-score using the LMS parameters:
    Z = ( (X / M) ^ L - 1 ) / (S * L)
    (Note: This formula is simplified; actual calculations involve adjustments for units and specific age groups).
  4. Percentile Conversion: The Z-score is then used to find the corresponding percentile using standard statistical tables or functions (like the cumulative distribution function of the standard normal distribution).

Variables Table:

LMS Method Variables
Variable Meaning Unit Typical Range
Age Child's age in months Months 0 – 240 (0-20 years)
Sex Child's biological sex Categorical Male, Female
Measurement (X) Child's measured height, weight, or head circumference cm (Height/Head), kg (Weight) Varies widely by age
Lambda (L) Transformation factor to normalize data distribution Decimal Typically between -0.5 and 0.5
Mu (M) Median (50th percentile) of the measurement for the specific age and sex cm or kg Varies widely by age and sex
Sigma (S) Coefficient of variation (related to standard deviation) for the specific age and sex Decimal Typically between 0.05 and 0.2
Z-score Standardized score representing deviation from the median Unitless Varies, but typically within -3 to +3 for normal growth
Percentile Rank The percentage of children with measurements less than or equal to the child's measurement % 0 – 100

Practical Examples (Real-World Use Cases)

Understanding how to interpret the results is key. Here are a couple of scenarios:

Example 1: Monitoring a Toddler's Weight

Scenario: Sarah is a concerned parent wanting to check her 24-month-old son, Leo's, weight. Leo is 86 cm tall and weighs 12.5 kg. He is generally active and meets his developmental milestones.

Inputs:

  • Child's Age: 24 months
  • Child's Sex: Male
  • Measurement Type: Weight
  • Measurement Value: 12.5 kg

Calculator Output (Hypothetical):

  • Main Result: 40th Percentile
  • Age: 24 months
  • Sex: Male
  • Measurement: Weight
  • Value: 12.5 kg
  • Percentile Rank: 40%

Interpretation: Leo's weight is at the 40th percentile for a 24-month-old boy. This means his weight is greater than or equal to 40% of boys his age. This falls well within the typical growth range (5th to 95th percentile), indicating healthy weight gain relative to his age and sex. His height (86 cm) would be calculated separately to assess weight-for-height.

Example 2: Checking a Baby's Height

Scenario: Mark and Lisa are visiting the pediatrician with their 9-month-old daughter, Chloe. They want to understand her height percentile.

Inputs:

  • Child's Age: 9 months
  • Child's Sex: Female
  • Measurement Type: Height
  • Measurement Value: 70 cm

Calculator Output (Hypothetical):

  • Main Result: 65th Percentile
  • Age: 9 months
  • Sex: Female
  • Measurement: Height
  • Value: 70 cm
  • Percentile Rank: 65%

Interpretation: Chloe's height is at the 65th percentile for a 9-month-old girl. This indicates she is taller than 65% of girls her age. This is a healthy percentile, suggesting she is growing well in terms of length. The pediatrician would also check her weight percentile to ensure it aligns appropriately.

How to Use This CDC Height and Weight Percentile Calculator

Using this calculator is straightforward and designed for quick, accurate results. Follow these steps:

  1. Enter Child's Age: Input the child's age in months. Be precise, as growth charts are age-specific.
  2. Select Child's Sex: Choose 'Male' or 'Female' based on the child's biological sex.
  3. Choose Measurement Type: Select whether you are measuring 'Weight', 'Height', or 'Head Circumference'.
  4. Enter Measurement Value: Input the measured value. Ensure you use the correct units: kilograms (kg) for weight, and centimeters (cm) for height and head circumference. The calculator will prompt you based on your selection.
  5. Click 'Calculate Percentile': The calculator will process the inputs and display the results.

How to Read Results:

  • Main Result (Percentile Rank): This is the primary output, shown as a percentage (e.g., 75th Percentile). It signifies that the child's measurement is greater than or equal to that percentage of children of the same age and sex.
  • Intermediate Values: These confirm the inputs used (Age, Sex, Measurement Type, Value) and the calculated Percentile Rank.
  • Growth Data Table & Chart: These provide context by showing reference data points (like the 50th and 95th percentiles) for various ages, allowing for visual comparison.

Decision-Making Guidance:

  • Within Normal Range (5th-95th Percentile): If your child's percentile falls within this range, it generally indicates healthy growth. Focus on consistent tracking and a balanced lifestyle.
  • Below 5th Percentile: If your child consistently measures below the 5th percentile, consult your pediatrician. They will assess factors like genetics, nutrition, and overall health to determine if intervention is needed.
  • Above 95th Percentile: If your child consistently measures above the 95th percentile, it may indicate a need for discussion with your pediatrician regarding potential concerns like overweight or obesity, especially concerning weight-for-height ratios.
  • Rapid Changes in Percentile: Significant jumps or drops in percentile rank over time should also be discussed with a healthcare provider, as they might signal underlying issues.

Key Factors That Affect CDC Height and Weight Percentile Results

While the calculator provides a standardized comparison, several factors influence a child's growth trajectory and their resulting percentile:

  1. Genetics: A child's genetic makeup plays a significant role in their potential height and frame size. Children of taller parents are often taller themselves, and this is reflected in their percentile rankings.
  2. Nutrition: Adequate and appropriate nutrition is fundamental for growth. Deficiencies in essential nutrients can stunt growth, while excessive intake, particularly of calories, can lead to faster weight gain, potentially pushing a child into higher weight percentiles.
  3. Health Conditions: Certain chronic illnesses (e.g., kidney disease, endocrine disorders, gastrointestinal issues) can significantly impact a child's growth rate and overall size, affecting their percentile.
  4. Prematurity: Premature babies often have different growth patterns initially. While corrected age is sometimes used, their growth trajectory might differ from full-term infants, impacting their percentile calculations, especially in the early years.
  5. Physical Activity Levels: Regular physical activity contributes to healthy muscle development and weight management. Sedentary lifestyles can contribute to excessive weight gain, impacting weight percentiles independently of height.
  6. Hormonal Factors: Growth hormone and thyroid hormones are critical for normal growth. Imbalances or deficiencies in these hormones can lead to significantly slower growth (dwarfism) or faster growth (gigantism), drastically altering percentile rankings.
  7. Socioeconomic Factors: Access to quality healthcare, nutritious food, and safe environments can indirectly influence growth. Disparities in these areas can contribute to differences in growth patterns observed across populations.
  8. Medications: Certain medications, such as corticosteroids, can affect growth rates and weight, potentially influencing a child's percentile over time.

Frequently Asked Questions (FAQ)

Q1: What is the difference between height percentile and weight percentile?

A1: The height percentile shows how a child's length compares to other children of the same age and sex. The weight percentile shows how a child's weight compares to other children of the same age and sex. Both are important, but comparing them (e.g., using BMI-for-age percentiles) gives a fuller picture of weight status.

Q2: My child is consistently in the 90th percentile for height. Is this a problem?

A2: Not necessarily. If the child is also consistently in a similar percentile range for weight (e.g., 75th-90th), it likely indicates they are genetically predisposed to be tall and have a healthy build. However, if weight is significantly higher than height percentile, consult a pediatrician.

Q3: My child dropped from the 50th percentile to the 10th percentile for weight. Should I be worried?

A3: A significant drop in percentile warrants a discussion with your pediatrician. They will investigate potential causes such as changes in diet, illness, or other health issues. It's important to track growth trends over time.

Q4: How often should I use a height and weight percentile calculator?

A4: It's best to use this tool in conjunction with your child's regular pediatrician check-ups. While you can use it periodically at home, the pediatrician's assessment, considering the child's overall health and development, is paramount.

Q5: Does the CDC calculator account for different ethnicities?

A5: The CDC growth charts are based on data collected from a diverse population in the US, aiming to be representative. However, specific ethnic growth variations might exist, though the CDC charts are the standard reference used in the US.

Q6: What is BMI percentile, and how does it relate?

A6: BMI (Body Mass Index) percentile is calculated using both the child's height and weight for their age and sex. It's a key indicator for assessing weight status (underweight, healthy weight, overweight, obesity) and is often considered more informative than height and weight percentiles alone.

Q7: Can I use this calculator for adults?

A7: No, this calculator is specifically designed for children and adolescents, using CDC growth charts that are age-specific for minors. Adult BMI calculations use different standards.

Q8: What are the units for head circumference?

A8: Head circumference is typically measured in centimeters (cm), just like height.

Related Tools and Internal Resources

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// Dummy data for CDC growth charts (simplified for demonstration) // In a real application, this would be much more extensive and accurate, // potentially loaded from a JSON file or API. // Format: { age_in_months: { sex: { '50th_w': value, '95th_w': value, '50th_h': value, '95th_h': value, '50th_hc': value, '95th_hc': value } } } var cdcGrowthData = { 0: { male: { '50th_w': 3.5, '95th_w': 5.5, '50th_h': 50, '95th_h': 54, '50th_hc': 34, '95th_hc': 37 }, female: { '50th_w': 3.3, '95th_w': 5.3, '50th_h': 49, '95th_h': 53, '50th_hc': 33, '95th_hc': 36 } }, 3: { male: { '50th_w': 6.0, '95th_w': 9.0, '50th_h': 60, '95th_h': 65, '50th_hc': 39, '95th_hc': 42 }, female: { '50th_w': 5.5, '95th_w': 8.5, '50th_h': 59, '95th_h': 64, '50th_hc': 38, '95th_hc': 41 } }, 6: { male: { '50th_w': 7.5, '95th_w': 11.0, '50th_h': 67, '95th_h': 72, '50th_hc': 43, '95th_hc': 46 }, female: { '50th_w': 7.0, '95th_w': 10.5, '50th_h': 66, '95th_h': 71, '50th_hc': 42, '95th_hc': 45 } }, 9: { male: { '50th_w': 8.5, '95th_w': 12.5, '50th_h': 71, '95th_h': 77, '50th_hc': 45, '95th_hc': 48 }, female: { '50th_w': 8.0, '95th_w': 12.0, '50th_h': 70, '95th_h': 76, '50th_hc': 44, '95th_hc': 47 } }, 12: { male: { '50th_w': 9.5, '95th_w': 14.0, '50th_h': 75, '95th_h': 82, '50th_hc': 46, '95th_hc': 49 }, female: { '50th_w': 9.0, '95th_w': 13.5, '50th_h': 74, '95th_h': 81, '50th_hc': 45, '95th_hc': 48 } }, 18: { male: { '50th_w': 11.0, '95th_w': 16.5, '50th_h': 81, '95th_h': 89, '50th_hc': 48, '95th_hc': 51 }, female: { '50th_w': 10.5, '95th_w': 16.0, '50th_h': 80, '95th_h': 88, '50th_hc': 47, '95th_hc': 50 } }, 24: { male: { '50th_w': 12.0, '95th_w': 18.0, '50th_h': 86, '95th_h': 95, '50th_hc': 49, '95th_hc': 52 }, female: { '50th_w': 11.5, '95th_w': 17.5, '50th_h': 85, '95th_h': 94, '50th_hc': 48, '95th_hc': 51 } }, 36: { male: { '50th_w': 14.5, '95th_w': 21.0, '50th_h': 95, '95th_h': 105, '50th_hc': 50, '95th_hc': 53 }, female: { '50th_w': 14.0, '95th_w': 20.5, '50th_h': 94, '95th_h': 104, '50th_hc': 49, '95th_hc': 52 } }, 48: { male: { '50th_w': 16.5, '95th_w': 24.0, '50th_h': 102, '95th_h': 113, '50th_hc': 51, '95th_hc': 54 }, female: { '50th_w': 16.0, '95th_w': 23.5, '50th_h': 101, '95th_h': 112, '50th_hc': 50, '95th_hc': 53 } }, 60: { male: { '50th_w': 18.5, '95th_w': 27.0, '50th_h': 108, '95th_h': 120, '50th_hc': 52, '95th_hc': 55 }, female: { '50th_w': 18.0, '95th_w': 26.5, '50th_h': 107, '95th_h': 119, '50th_hc': 51, '95th_hc': 54 } } // Add more data points for a more accurate calculator }; // Placeholder for actual percentile calculation logic (complex statistical functions needed) // This is a highly simplified approximation for demonstration. // Real CDC calculations use LMS method and lookup tables/functions. function calculateApproximatePercentile(age, sex, measurementType, value) { var ageIndex = Math.floor(age / 3) * 3; // Find nearest data point age group (e.g., 0, 3, 6, 9…) if (ageIndex < 0) ageIndex = 0; if (!cdcGrowthData[ageIndex]) { // Try nearest available age if exact match not found var ages = Object.keys(cdcGrowthData).map(Number).sort(function(a, b){ return a – b; }); var nearestAge = ages.reduce(function(prev, curr) { return (Math.abs(curr – age) < Math.abs(prev – age) ? curr : prev); }); ageIndex = nearestAge; } var data = cdcGrowthData[ageIndex]; if (!data) return { percentile: null, median: null, p95: null }; var sexData = data[sex]; if (!sexData) return { percentile: null, median: null, p95: null }; var medianKey = '50th_' + measurementType; var p95Key = '95th_' + measurementType; var median = sexData[medianKey]; var p95 = sexData[p95Key]; if (median === undefined || p95 === undefined) return { percentile: null, median: null, p95: null }; // Very crude approximation: linear interpolation between median and 95th percentile // This is NOT statistically accurate for real percentile calculation. var percentile; if (value p95) { // Interpolate between 95th and 100th percentile (highly inaccurate) percentile = 95 + ((value – p95) / (p95 * 1.1)) * 5; // Crude extrapolation } else { // Interpolate between 50th and 95th percentile percentile = 50 + ((value – median) / (p95 – median)) * 45; } // Clamp percentile to 0-100 range percentile = Math.max(0, Math.min(100, percentile)); return { percentile: percentile.toFixed(1), median: median, p95: p95 }; } function validateInput(id, errorMessageId, min, max) { var input = document.getElementById(id); var errorElement = document.getElementById(errorMessageId); var value = input.value.trim(); var isValid = true; errorElement.innerText = "; errorElement.classList.remove('visible'); input.style.borderColor = 'var(–border-color)'; if (value === ") { errorElement.innerText = 'This field is required.'; isValid = false; } else { var numValue = parseFloat(value); if (isNaN(numValue)) { errorElement.innerText = 'Please enter a valid number.'; isValid = false; } else { if (min !== undefined && numValue max) { errorElement.innerText = 'Value out of range.'; isValid = false; } } } if (!isValid) { input.style.borderColor = 'var(–error-color)'; } return isValid; } function updateMeasurementLabel() { var type = document.getElementById('measurementType').value; var label = document.getElementById('measurementLabel'); var helperText = label.nextElementSibling.nextElementSibling; // The helper text span if (type === 'weight') { label.innerText = 'Weight (kg):'; helperText.innerText = 'Enter weight in kilograms (e.g., 12.5)'; } else if (type === 'height') { label.innerText = 'Height (cm):'; helperText.innerText = 'Enter height in centimeters (e.g., 85)'; } else if (type === 'headCircumference') { label.innerText = 'Head Circumference (cm):'; helperText.innerText = 'Enter head circumference in centimeters (e.g., 48)'; } } function populateTableAndChart() { var tableBody = document.getElementById('growthDataTable').getElementsByTagName('tbody')[0]; tableBody.innerHTML = "; // Clear existing rows var chart = document.getElementById('growthChart').getContext('2d'); if (window.growthChartInstance) { window.growthChartInstance.destroy(); // Destroy previous chart if it exists } var agesToShow = [0, 6, 12, 24, 36, 48, 60]; // Example ages var male50W = []; female50W = []; male95W = []; female95W = []; var male50H = []; female50H = []; male95H = []; female95H = []; var male50HC = []; female50HC = []; male95HC = []; female95HC = []; var chartLabels = []; agesToShow.forEach(function(age) { var row = tableBody.insertRow(); var cellAge = row.insertCell(0); cellAge.innerText = age; chartLabels.push(age + ' mo'); var dataPoint = cdcGrowthData[age]; if (dataPoint) { var maleData = dataPoint.male; var femaleData = dataPoint.female; // Weight cellAge.insertCell(1).innerText = maleData ? maleData['50th_w'].toFixed(1) : '-'; male50W.push(maleData ? maleData['50th_w'] : null); cellAge.insertCell(2).innerText = femaleData ? femaleData['50th_w'].toFixed(1) : '-'; female50W.push(femaleData ? femaleData['50th_w'] : null); cellAge.insertCell(3).innerText = maleData ? maleData['95th_w'].toFixed(1) : '-'; male95W.push(maleData ? maleData['95th_w'] : null); cellAge.insertCell(4).innerText = femaleData ? femaleData['95th_w'].toFixed(1) : '-'; female95W.push(femaleData ? femaleData['95th_w'] : null); // Height (for chart example) male50H.push(maleData ? maleData['50th_h'] : null); female50H.push(femaleData ? femaleData['50th_h'] : null); male95H.push(maleData ? maleData['95th_h'] : null); female95H.push(femaleData ? femaleData['95th_h'] : null); // Head Circumference (for chart example) male50HC.push(maleData ? maleData['50th_hc'] : null); female50HC.push(femaleData ? femaleData['50th_hc'] : null); male95HC.push(maleData ? maleData['95th_hc'] : null); female95HC.push(femaleData ? femaleData['95th_hc'] : null); } else { for (var i = 1; i < 5; i++) { cellAge.insertCell(i).innerText = '-'; } } }); // Update table caption dynamically var measurementType = document.getElementById('measurementType').value; var tableCaption = document.querySelector('#growthDataTable caption'); if (measurementType === 'weight') { tableCaption.innerText = 'CDC Growth Data (Example for Weight in kg)'; // Update legend visibility based on measurement type document.getElementById('legendMaleWeight').style.display = 'inline-block'; document.getElementById('legendFemaleWeight').style.display = 'inline-block'; document.getElementById('legendMaleHeight').style.display = 'none'; document.getElementById('legendFemaleHeight').style.display = 'none'; } else if (measurementType === 'height') { tableCaption.innerText = 'CDC Growth Data (Example for Height in cm)'; document.getElementById('legendMaleWeight').style.display = 'none'; document.getElementById('legendFemaleWeight').style.display = 'none'; document.getElementById('legendMaleHeight').style.display = 'inline-block'; document.getElementById('legendFemaleHeight').style.display = 'inline-block'; } else if (measurementType === 'headCircumference') { tableCaption.innerText = 'CDC Growth Data (Example for Head Circumference in cm)'; // Add specific legend items for HC if needed, or reuse height/weight ones conceptually document.getElementById('legendMaleWeight').style.display = 'none'; document.getElementById('legendFemaleWeight').style.display = 'none'; document.getElementById('legendMaleHeight').style.display = 'inline-block'; // Reusing for HC legend document.getElementById('legendFemaleHeight').style.display = 'inline-block'; // Reusing for HC legend } // Determine which data series to plot based on selected measurement type var dataSeries1 = []; // e.g., Male 50th percentile var dataSeries2 = []; // e.g., Female 50th percentile var series1Label = ''; var series2Label = ''; var series1Color = '#1f77b4'; // Default blue var series2Color = '#ff7f0e'; // Default orange if (measurementType === 'weight') { dataSeries1 = male50W; dataSeries2 = female50W; series1Label = 'Male 50th %ile Weight'; series2Label = 'Female 50th %ile Weight'; series1Color = '#1f77b4'; series2Color = '#ff7f0e'; } else if (measurementType === 'height') { dataSeries1 = male50H; dataSeries2 = female50H; series1Label = 'Male 50th %ile Height'; series2Label = 'Female 50th %ile Height'; series1Color = '#2ca02c'; series2Color = '#d62728'; } else if (measurementType === 'headCircumference') { dataSeries1 = male50HC; dataSeries2 = female50HC; series1Label = 'Male 50th %ile HC'; series2Label = 'Female 50th %ile HC'; series1Color = '#9467bd'; series2Color = '#8c564b'; // Purple and Brown } // Create the chart window.growthChartInstance = new Chart(chart, { type: 'line', data: { labels: chartLabels, datasets: [{ label: series1Label, data: dataSeries1, borderColor: series1Color, backgroundColor: series1Color, fill: false, tension: 0.1 }, { label: series2Label, data: dataSeries2, borderColor: series2Color, backgroundColor: series2Color, fill: false, tension: 0.1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: measurementType === 'weight' ? 'Weight (kg)' : 'Length (cm)' } } }, plugins: { title: { display: true, text: 'CDC Growth Chart Data' }, legend: { display: false // Use custom legend } } } }); } function calculatePercentile() { var age = parseFloat(document.getElementById('childAge').value); var sex = document.getElementById('childSex').value; var measurementType = document.getElementById('measurementType').value; var value = parseFloat(document.getElementById('measurementValue').value); var ageError = document.getElementById('childAgeError'); var valueError = document.getElementById('measurementValueError'); var resultsSection = document.getElementById('results-section'); var mainResultDiv = document.getElementById('mainResult'); var resultAgeDiv = document.getElementById('resultAge'); var resultSexDiv = document.getElementById('resultSex'); var resultMeasurementTypeDiv = document.getElementById('resultMeasurementType'); var resultMeasurementValueDiv = document.getElementById('resultMeasurementValue'); var resultPercentileRankDiv = document.getElementById('resultPercentileRank'); var copySuccessMessage = document.getElementById('copySuccessMessage'); copySuccessMessage.style.display = 'none'; // Hide previous success message var isAgeValid = validateInput('childAge', 'childAgeError', 0); var isValueValid = validateInput('measurementValue', 'measurementValueError', 0); if (!isAgeValid || !isValueValid) { resultsSection.style.display = 'none'; return; } // Update measurement label and helper text based on selection updateMeasurementLabel(); // Use the simplified approximation function var result = calculateApproximatePercentile(age, sex, measurementType, value); if (result.percentile !== null) { mainResultDiv.innerText = result.percentile + 'th Percentile'; resultAgeDiv.innerText = age; resultSexDiv.innerText = sex.charAt(0).toUpperCase() + sex.slice(1); resultMeasurementTypeDiv.innerText = measurementType.replace(/([A-Z])/g, ' $1').trim(); // Add space before capital letters resultMeasurementValueDiv.innerText = value + (measurementType === 'weight' ? ' kg' : ' cm'); resultPercentileRankDiv.innerText = result.percentile + '%'; resultsSection.style.display = 'block'; } else { mainResultDiv.innerText = 'N/A'; resultAgeDiv.innerText = '–'; resultSexDiv.innerText = '–'; resultMeasurementTypeDiv.innerText = '–'; resultMeasurementValueDiv.innerText = '–'; resultPercentileRankDiv.innerText = '–'; resultsSection.style.display = 'block'; // Show section even if N/A, but indicate error mainResultDiv.innerHTML = 'Calculation Error'; } populateTableAndChart(); // Update table and chart } function resetCalculator() { document.getElementById('childAge').value = '24'; document.getElementById('childSex').value = 'male'; document.getElementById('measurementType').value = 'weight'; document.getElementById('measurementValue').value = "; document.getElementById('childAgeError').innerText = "; document.getElementById('childAgeError').classList.remove('visible'); document.getElementById('childAge').style.borderColor = 'var(–border-color)'; document.getElementById('measurementValueError').innerText = "; document.getElementById('measurementValueError').classList.remove('visible'); document.getElementById('measurementValue').style.borderColor = 'var(–border-color)'; document.getElementById('results-section').style.display = 'none'; document.getElementById('copySuccessMessage').style.display = 'none'; updateMeasurementLabel(); // Reset label too populateTableAndChart(); // Reset table and chart to default view } function copyResults() { var mainResult = document.getElementById('mainResult').innerText; var resultAge = document.getElementById('resultAge').innerText; var resultSex = document.getElementById('resultSex').innerText; var resultMeasurementType = document.getElementById('resultMeasurementType').innerText; var resultMeasurementValue = document.getElementById('resultMeasurementValue').innerText; var resultPercentileRank = document.getElementById('resultPercentileRank').innerText; var assumptions = "Key Assumptions:\n"; assumptions += "- Age: " + resultAge + " months\n"; assumptions += "- Sex: " + resultSex + "\n"; assumptions += "- Measurement Type: " + resultMeasurementType + "\n"; assumptions += "- Measured Value: " + resultMeasurementValue + "\n"; var textToCopy = "CDC Height and Weight Percentile Results:\n"; textToCopy += "—————————————-\n"; textToCopy += "Primary Result: " + mainResult + "\n"; textToCopy += "Percentile Rank: " + resultPercentileRank + "\n"; textToCopy += "\n" + assumptions; // Use navigator.clipboard for modern browsers if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(textToCopy).then(function() { var successMessage = document.getElementById('copySuccessMessage'); successMessage.style.display = 'block'; setTimeout(function() { successMessage.style.display = 'none'; }, 3000); }).catch(function(err) { console.error('Failed to copy text: ', err); // Fallback for older browsers or if permission denied fallbackCopyTextToClipboard(textToCopy); }); } else { fallbackCopyTextToClipboard(textToCopy); } } function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; textArea.style.top = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'successful' : 'unsuccessful'; console.log('Fallback: Copying text command was ' + msg); var successMessage = document.getElementById('copySuccessMessage'); successMessage.style.display = 'block'; setTimeout(function() { successMessage.style.display = 'none'; }, 3000); } catch (err) { console.error('Fallback: Oops, unable to copy', err); } document.body.removeChild(textArea); } // Initial setup on page load document.addEventListener('DOMContentLoaded', function() { updateMeasurementLabel(); // Set initial label populateTableAndChart(); // Populate table and chart initially // Add event listeners for real-time updates document.getElementById('childAge').addEventListener('input', calculatePercentile); document.getElementById('measurementValue').addEventListener('input', calculatePercentile); document.getElementById('childSex').addEventListener('change', calculatePercentile); document.getElementById('measurementType').addEventListener('change', function() { updateMeasurementLabel(); // Update label first calculatePercentile(); // Then recalculate }); });

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