Pediatric Height and Weight Calculator

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Pediatric Height and Weight Calculator

Growth Measurement Tool

Enter age in months (e.g., 36 for 3 years).
Male Female
Enter height in centimeters (e.g., 90 for 90 cm).
Enter weight in kilograms (e.g., 13 for 13 kg).
Height Percentile:
Weight Percentile:
BMI:
Age: months
Gender:
Input Height: cm
Input Weight: kg
Formula based on CDC growth charts. Percentiles indicate the percentage of children with similar age and sex who are shorter or lighter.

Growth Chart Visualization

Comparison of Child's Growth vs. CDC 50th Percentile

CDC Growth Data Reference (Example for Male, 24 Months)

Metric 3rd Percentile 50th Percentile 97th Percentile
Height (cm)
Weight (kg)
Head Circumference (cm)

What is a Pediatric Height and Weight Calculator?

A pediatric height and weight calculator is an essential online tool designed to help parents, guardians, and healthcare professionals assess a child's growth trajectory. It compares a child's current height and weight measurements against established growth charts, typically those provided by organizations like the Centers for Disease Control and Prevention (CDC) or the World Health Organization (WHO). The primary output is a percentile ranking, which indicates how a child's measurements stack up against other children of the same age and sex. Understanding these percentiles is crucial for identifying potential growth concerns, ensuring adequate nutrition, and monitoring overall child development. This pediatric height and weight calculator provides a quick and accessible way to gain insights into a child's growth patterns.

Who should use it?

  • Parents and Guardians: To track their child's growth and discuss concerns with pediatricians.
  • Pediatricians and Healthcare Providers: As a quick reference during well-child visits.
  • Childcare Providers: To monitor nutritional intake and growth milestones in a group setting.
  • Researchers: For demographic studies on child development.

Common Misconceptions:

  • Misconception 1: A specific percentile means "good" or "bad." A child's percentile isn't static. A child consistently tracking along a specific percentile curve (e.g., 75th percentile for height and 75th percentile for weight) is often considered healthy. Significant deviations or rapid changes in percentile ranks can be more indicative of a potential issue than the percentile number itself.
  • Misconception 2: The calculator diagnoses problems. This tool is for assessment and monitoring, not diagnosis. A pediatrician should always be consulted for any concerns about a child's growth.
  • Misconception 3: All children should be at the 50th percentile. Children grow at different rates. Some may naturally be in the lower percentiles (e.g., 5th) and others in the higher (e.g., 95th) while remaining perfectly healthy, provided their growth is consistent.

Pediatric Height and Weight Calculator Formula and Mathematical Explanation

The core of a pediatric height and weight calculator relies on referencing standardized growth charts. These charts are not based on a simple, single formula but rather on statistical analysis of large datasets of children's measurements collected over time. For a given age and sex, the charts represent various percentile curves (e.g., 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, 97th). The calculator's task is to find the point on these curves that corresponds to the child's inputted age, height, and weight.

How it works:

  1. Input Collection: The user provides the child's age (in months), sex, height (in cm), and weight (in kg).
  2. Data Lookup: The calculator accesses a pre-defined dataset (often JSON or an array) containing the reference measurements for specific ages and sexes at different percentiles.
  3. Interpolation (if necessary): Since the reference data might only have measurements for specific age intervals, the calculator might interpolate between data points to estimate values for the exact age provided. Similarly, for height and weight, it finds the closest corresponding percentile.
  4. Calculating BMI: Body Mass Index (BMI) is calculated using the standard formula: BMI = weight (kg) / [height (m)]^2. Height must be converted from cm to meters (cm / 100).
  5. BMI Percentile: The calculated BMI is then compared to BMI-for-age growth charts to determine its percentile rank.
  6. Output Generation: The calculator presents the determined height percentile, weight percentile, and BMI percentile.

Variable Explanations:

Variable Meaning Unit Typical Range
Age Child's age from birth. Months 0 – 60 (for typical CDC charts up to 5 years)
Sex Biological sex of the child. Categorical Male, Female
Height Child's standing height. Centimeters (cm) 10 – 120 (approx. for ages 0-5)
Weight Child's body mass. Kilograms (kg) 1 – 30 (approx. for ages 0-5)
BMI Body Mass Index, a ratio of weight to height squared. kg/m² ~12 – 18 (approx. for ages 0-5)
Percentile The percentage of children the child's measurement is greater than. % 0 – 100

The specific data used in this pediatric height and weight calculator is based on the CDC's 2000 CDC Growth Charts, which are widely used in the United States.

Practical Examples (Real-World Use Cases)

Let's illustrate with a couple of scenarios using the pediatric height and weight calculator:

Example 1: A 3-Year-Old Boy

  • Inputs:
    • Age: 36 months (3 years)
    • Gender: Male
    • Height: 95 cm
    • Weight: 14 kg
  • Calculator Output:
    • Height Percentile: Approximately 50th
    • Weight Percentile: Approximately 50th
    • BMI: Approximately 15.4 kg/m²
    • BMI Percentile: Approximately 50th
  • Interpretation: This child's height and weight are right around the average for a 3-year-old boy. His growth appears to be tracking consistently along the middle of the growth charts, which is generally considered healthy and indicates balanced growth.

Example 2: A 1-Year-Old Girl

  • Inputs:
    • Age: 12 months (1 year)
    • Gender: Female
    • Height: 74 cm
    • Weight: 9.2 kg
  • Calculator Output:
    • Height Percentile: Approximately 25th
    • Weight Percentile: Approximately 10th
    • BMI: Approximately 16.6 kg/m²
    • BMI Percentile: Approximately 50th
  • Interpretation: This 1-year-old girl is shorter than average (25th percentile) but her weight is around the 10th percentile. Importantly, her BMI percentile is around the 50th. This suggests that while she is on the smaller side, her weight is proportionate to her height, indicating healthy weight status relative to her frame. Her pediatrician would monitor if her growth trend continues consistently along these percentiles.

These examples show how the pediatric height and weight calculator provides context to raw measurements, helping to understand a child's growth within a population.

How to Use This Pediatric Height and Weight Calculator

Using this pediatric height and weight calculator is straightforward. Follow these steps for accurate assessment:

  1. Gather Accurate Measurements: Ensure you have the most recent and accurate measurements for your child's age, height, and weight.
    • Age: Measure age in months. If your child is 2 years and 3 months old, that's 2 * 12 + 3 = 27 months.
    • Height: Measure standing height in centimeters (cm). For very young infants, length may be used, but this calculator assumes standing height.
    • Weight: Measure weight in kilograms (kg). Ensure the child is wearing minimal clothing for accuracy.
    • Gender: Select 'Male' or 'Female'.
  2. Enter Data: Input the gathered information into the corresponding fields in the calculator: 'Child's Age (Months)', 'Child's Gender', 'Child's Height (cm)', and 'Child's Weight (kg)'.
  3. Calculate: Click the "Calculate Growth" button.
  4. Interpret Results: The calculator will display:
    • Main Result: Often highlights the most critical percentile or a summary statement.
    • Height Percentile: Indicates the percentage of children of the same age and sex who are shorter than your child.
    • Weight Percentile: Indicates the percentage of children of the same age and sex who weigh less than your child.
    • BMI: The calculated Body Mass Index.
    • BMI Percentile: Indicates the percentage of children of the same age and sex with a BMI lower than your child's.
    • Key Assumptions: Confirms the input values used for the calculation.
  5. Review Growth Chart: The dynamic chart visually compares your child's measurements against the 50th percentile reference line.
  6. Consult Reference Table: The table provides example data points from the CDC charts for a specific age and sex, offering context.
  7. Decision-Making Guidance:
    • Consistent Percentiles: If height and weight percentiles are similar and have been consistent over time, it generally indicates healthy, proportional growth.
    • Dropping/Rising Percentiles: A significant and sustained drop or rise across percentiles, especially in BMI, warrants a discussion with a pediatrician.
    • Disproportionate Height/Weight: If height and weight percentiles differ significantly (e.g., high weight percentile but low height percentile), it might indicate concerns about weight-for-height, which should be discussed with a healthcare provider.
  8. Use Reset and Copy: Use the "Reset" button to clear fields and start over. Use "Copy Results" to save or share the calculated data.

Remember, this pediatric height and weight calculator is a guide. Always consult your child's pediatrician for personalized advice and medical guidance.

Key Factors That Affect Pediatric Growth Results

Several factors influence a child's growth patterns and, consequently, the results from a pediatric height and weight calculator. Understanding these can provide a more complete picture:

  1. Genetics: A child's genetic predisposition plays a significant role. If parents are tall, their children are likely to be tall, and vice versa. Similarly, inherent body composition tendencies are inherited. This influences where a child naturally falls on the growth charts.
  2. Nutrition: Adequate and balanced nutrition is fundamental for growth. Deficiencies in essential nutrients (proteins, vitamins, minerals) can stunt growth or lead to underweight, while excessive intake of calories, particularly from unhealthy sources, can lead to overweight or obesity. The quality and quantity of food directly impact weight and can affect height development.
  3. Sleep: Growth hormone is primarily released during deep sleep. Consistent, sufficient sleep is crucial for optimal physical development, especially during infancy and childhood. Disruptions in sleep patterns can potentially impact growth rates.
  4. Physical Activity: Regular physical activity promotes healthy muscle and bone development, contributes to a healthy weight, and improves overall well-being. While it doesn't directly increase height potential, it helps ensure a child reaches their genetically determined height potential and maintains a healthy BMI.
  5. Hormonal Factors: Various hormones, including growth hormone, thyroid hormones, and sex hormones, regulate growth. Imbalances or deficiencies in these hormones can lead to significant deviations from typical growth patterns, such as dwarfism or gigantism.
  6. Chronic Illnesses: Long-term health conditions, such as kidney disease, celiac disease, cystic fibrosis, or certain metabolic disorders, can impair nutrient absorption, increase energy needs, or directly affect growth hormones, leading to slower growth rates or weight loss.
  7. Environmental Factors: Exposure to pollutants, stress, or socioeconomic factors can indirectly influence growth by affecting nutrition, health, and sleep. Access to healthcare also plays a role in early detection and management of growth issues.
  8. Prematurity or Birth Complications: Children born prematurely may experience a period of "catch-up" growth, but their initial measurements might place them in lower percentiles. Birth complications can also sometimes impact early development.

The pediatric height and weight calculator provides a snapshot, but these underlying factors determine the long-term growth trajectory.

Frequently Asked Questions (FAQ)

Q1: What age range does the pediatric height and weight calculator cover?

A: This calculator typically covers growth from birth up to age 5 or 6 years, based on the standard CDC growth charts. Some calculators may extend to age 18 or 20, using different chart sets for older children and adolescents.

Q2: How often should I measure my child's height and weight?

A: For infants and toddlers, measurements are usually taken at every well-child visit (typically every 1-6 months). For older children, annual measurements are common, but consult your pediatrician for specific recommendations.

Q3: My child is consistently in the 90th percentile for height and weight. Is this a concern?

A: Not necessarily. If your child has consistently been around the 90th percentile for both height and weight since birth and appears healthy, it's often considered normal for them. The key is consistency and proportionality. If there's a sudden jump or drop in percentiles, consult a doctor.

Q4: What if my child's height and weight percentiles are very different?

A: This situation warrants attention. For example, if a child is in the 95th percentile for weight but only the 20th for height, it suggests they are significantly heavier relative to their height compared to other children. This could indicate potential concerns about overweight or obesity, and a pediatrician's evaluation is recommended.

Q5: Does the calculator provide information on head circumference?

A: Some advanced pediatric growth calculators include head circumference, especially for infants where it's a critical indicator of brain development. This specific calculator focuses on height and weight but the reference table may show head circumference data.

Q6: Can I use this calculator for premature babies?

A: For premature babies (born before 37 weeks), it's recommended to use corrected age and specialized premature growth charts. This calculator uses standard charts which may not be appropriate for the initial months of a preemie's life.

Q7: What are the units for height and weight?

A: This calculator uses centimeters (cm) for height and kilograms (kg) for weight, which are standard units used with CDC growth charts. Ensure your measurements are converted to these units before inputting.

Q8: How accurate are the CDC growth charts?

A: The CDC growth charts are based on extensive, nationally representative data and are considered the standard for monitoring child growth in the United States. They are statistically robust tools for assessing growth patterns.

var chartInstance = null; // Global variable to hold chart instance // — Data for CDC Growth Charts (Simplified) — // Structure: age_in_months: { gender: { height: [3rd, 50th, 97th], weight: [3rd, 50th, 97th] } } // These are approximate values for demonstration and may not be perfectly precise var cdcGrowthData = { 0: { male: { height: [49.0, 53.7, 59.3], weight: [2.6, 3.4, 4.4] }, female: { height: [48.5, 52.8, 58.5], weight: [2.5, 3.2, 4.2] } }, 3: { male: { height: [58.3, 64.5, 71.1], weight: [5.4, 7.0, 8.8] }, female: { height: [57.3, 63.3, 69.8], weight: [4.8, 6.4, 8.2] } }, 6: { male: { height: [65.6, 71.9, 79.2], weight: [7.5, 9.4, 11.8] }, female: { height: [64.1, 70.2, 77.5], weight: [6.7, 8.5, 10.7] } }, 9: { male: { height: [71.0, 77.5, 85.3], weight: [9.3, 11.5, 14.3] }, female: { height: [69.0, 75.2, 83.0], weight: [8.4, 10.5, 13.0] } }, 12: { male: { height: [74.8, 81.5, 89.5], weight: [10.4, 12.8, 15.9] }, female: { height: [73.0, 79.5, 87.5], weight: [9.2, 11.5, 14.2] } }, 18: { male: { height: [80.6, 87.5, 95.8], weight: [11.7, 14.2, 17.5] }, female: { height: [78.9, 85.5, 93.5], weight: [10.3, 12.6, 15.4] } }, 24: { male: { height: [84.9, 91.9, 100.5], weight: [12.7, 15.3, 18.9] }, female: { height: [83.1, 89.8, 98.2], weight: [11.1, 13.5, 16.5] } }, 30: { male: { height: [88.8, 96.0, 105.0], weight: [13.6, 16.3, 20.2] }, female: { height: [86.8, 93.5, 102.0], weight: [11.8, 14.2, 17.4] } }, 36: { male: { height: [92.3, 99.6, 109.0], weight: [14.5, 17.2, 21.4] }, female: { height: [90.3, 97.0, 106.0], weight: [12.5, 15.0, 18.4] } }, 48: { male: { height: [98.4, 105.8, 115.0], weight: [16.2, 19.0, 23.8] }, female: { height: [96.2, 103.0, 112.0], weight: [13.7, 16.3, 20.0] } }, 60: { male: { height: [103.7, 111.5, 121.0], weight: [17.8, 20.8, 25.9] }, female: { height: [101.5, 109.0, 118.5], weight: [15.1, 17.9, 21.8] } } }; // Head circumference data for reference table (example values) var headCircumferenceData = { 0: { male: { hc: [33.0, 35.3, 38.4] }, female: { hc: [32.5, 34.8, 37.8] } }, 3: { male: { hc: [39.0, 41.0, 43.5] }, female: { hc: [38.0, 40.0, 42.5] } }, 6: { male: { hc: [42.5, 44.2, 46.8] }, female: { hc: [41.5, 43.2, 45.8] } }, 9: { male: { hc: [44.5, 46.0, 48.5] }, female: { hc: [43.5, 45.0, 47.5] } }, 12: { male: { hc: [45.5, 47.0, 49.5] }, female: { hc: [44.5, 46.0, 48.5] } }, 18: { male: { hc: [47.0, 48.3, 50.5] }, female: { hc: [46.0, 47.3, 49.5] } }, 24: { male: { hc: [47.7, 49.0, 51.0] }, female: { hc: [46.8, 48.0, 50.0] } }, 36: { male: { hc: [48.5, 49.8, 51.8] }, female: { hc: [47.5, 48.8, 50.8] } }, 48: { male: { hc: [49.2, 50.5, 52.5] }, female: { hc: [48.2, 49.5, 51.5] } }, 60: { male: { hc: [50.0, 51.0, 53.0] }, female: { hc: [49.0, 50.0, 52.0] } } }; function getClosestAgeData(ageInMonths) { var sortedAges = Object.keys(cdcGrowthData).map(Number).sort(function(a, b) { return a – b; }); var lowerAge = 0, upperAge = sortedAges[sortedAges.length – 1]; for (var i = 0; i = ageInMonths) { upperAge = sortedAges[i]; if (i > 0) { lowerAge = sortedAges[i – 1]; } else { lowerAge = upperAge; // If age is less than the first entry, use that entry } break; } if (sortedAges[i] <= ageInMonths) { lowerAge = sortedAges[i]; } } // Ensure we don't go out of bounds if age is exactly the upper bound if (lowerAge === upperAge && lowerAge !== sortedAges[sortedAges.length – 1]) { var currentIndex = sortedAges.indexOf(lowerAge); if (currentIndex < sortedAges.length – 1) { upperAge = sortedAges[currentIndex + 1]; } } return { lower: lowerAge, upper: upperAge }; } function interpolate(lowerVal, upperVal, lowerAge, upperAge, targetAge) { if (lowerAge === upperAge) return lowerVal; // Avoid division by zero if ages are the same return lowerVal + (upperVal – lowerVal) * (targetAge – lowerAge) / (upperAge – lowerAge); } function calculatePercentile(measurement, ageInMonths, gender, type) { var ages = getClosestAgeData(ageInMonths); var genderData = cdcGrowthData[ages.lower][gender]; var lowerData = genderData[type]; var upperData = cdcGrowthData[ages.upper][gender][type]; var lowerPercentileVal = interpolate(lowerData[1], upperData[1], ages.lower, ages.upper, ageInMonths); var targetMeasurement = measurement; // This is a simplified percentile calculation. Actual CDC charts use complex formulas (like LMS – lambda, mu, sigma) // For this example, we'll approximate by finding the closest percentile value and estimating. // A more accurate approach would involve looking up Z-scores and then converting to percentiles using a standard normal distribution function. // Simplified approximation: var percentiles = [3, 50, 97]; // Corresponding percentiles for the data points var p3Val = interpolate(lowerData[0], upperData[0], ages.lower, ages.upper, ageInMonths); var p50Val = interpolate(lowerData[1], upperData[1], ages.lower, ages.upper, ageInMonths); var p97Val = interpolate(lowerData[2], upperData[2], ages.lower, ages.upper, ageInMonths); if (targetMeasurement = p97Val) return 97; // Crude linear interpolation for percentile between known points if (targetMeasurement < p50Val) { // Between 3rd and 50th var percentile = 3 + (50 – 3) * (targetMeasurement – p3Val) / (p50Val – p3Val); return Math.round(percentile); } else { // Between 50th and 97th var percentile = 50 + (97 – 50) * (targetMeasurement – p50Val) / (p97Val – p50Val); return Math.round(percentile); } } function calculateBMIPercentile(bmi, ageInMonths, gender) { // Simplified BMI percentile calculation based on interpolated BMI-for-age charts. // This requires a lookup similar to height/weight but for BMI. // Using approximate values for demonstration: var bmiData = { 0: { male: { bmi: [12.0, 13.5, 15.5] }, female: { bmi: [11.5, 13.0, 15.0] } }, 3: { male: { bmi: [14.5, 16.0, 18.0] }, female: { bmi: [14.0, 15.5, 17.5] } }, 6: { male: { bmi: [15.5, 17.0, 19.0] }, female: { bmi: [15.0, 16.5, 18.5] } }, 9: { male: { bmi: [16.0, 17.5, 19.5] }, female: { bmi: [15.5, 17.0, 19.0] } }, 12: { male: { bmi: [16.3, 17.8, 19.8] }, female: { bmi: [15.8, 17.3, 19.3] } }, 18: { male: { bmi: [16.5, 18.0, 20.0] }, female: { bmi: [16.0, 17.5, 19.5] } }, 24: { male: { bmi: [16.7, 18.2, 20.2] }, female: { bmi: [16.2, 17.7, 19.7] } }, 30: { male: { bmi: [16.8, 18.3, 20.3] }, female: { bmi: [16.3, 17.8, 19.8] } }, 36: { male: { bmi: [16.9, 18.4, 20.4] }, female: { bmi: [16.4, 17.9, 19.9] } }, 48: { male: { bmi: [17.0, 18.5, 20.5] }, female: { bmi: [16.5, 18.0, 20.0] } }, 60: { male: { bmi: [17.1, 18.6, 20.6] }, female: { bmi: [16.6, 18.1, 20.1] } } }; var ages = getClosestAgeData(ageInMonths); var genderBmiData = bmiData[ages.lower][gender]; var lowerBmiPoints = genderBmiData[type]; // Placeholder, should be bmi points var upperBmiPoints = bmiData[ages.upper][gender][type]; // Placeholder // Approximation of BMI percentiles. This is highly simplified. // Real charts use LMS values. var p3Bmi = interpolate(genderBmiData.bmi[0], bmiData[ages.upper][gender].bmi[0], ages.lower, ages.upper, ageInMonths); var p50Bmi = interpolate(genderBmiData.bmi[1], bmiData[ages.upper][gender].bmi[1], ages.lower, ages.upper, ageInMonths); var p97Bmi = interpolate(genderBmiData.bmi[2], bmiData[ages.upper][gender].bmi[2], ages.lower, ages.upper, ageInMonths); if (bmi = p97Bmi) return 97; if (bmi < p50Bmi) { var percentile = 3 + (50 – 3) * (bmi – p3Bmi) / (p50Bmi – p3Bmi); return Math.round(percentile); } else { var percentile = 50 + (97 – 50) * (bmi – p50Bmi) / (p97Bmi – p50Bmi); return Math.round(percentile); } } function updateReferenceTable(ageInMonths, gender) { var ages = getClosestAgeData(ageInMonths); var dataLower = cdcGrowthData[ages.lower]; var dataUpper = cdcGrowthData[ages.upper]; var hcLower = headCircumferenceData[ages.lower]; var hcUpper = headCircumferenceData[ages.upper]; var genderData = dataLower[gender]; var genderUpperData = dataUpper[gender]; var genderHCLower = hcLower[gender]; var genderHCUpper = hcUpper[gender]; var height3 = interpolate(genderData.height[0], genderUpperData.height[0], ages.lower, ages.upper, ageInMonths); var height50 = interpolate(genderData.height[1], genderUpperData.height[1], ages.lower, ages.upper, ageInMonths); var height97 = interpolate(genderData.height[2], genderUpperData.height[2], ages.lower, ages.upper, ageInMonths); var weight3 = interpolate(genderData.weight[0], genderUpperData.weight[0], ages.lower, ages.upper, ageInMonths); var weight50 = interpolate(genderData.weight[1], genderUpperData.weight[1], ages.lower, ages.upper, ageInMonths); var weight97 = interpolate(genderData.weight[2], genderUpperData.weight[2], ages.lower, ages.upper, ageInMonths); var hc3 = interpolate(genderHCLower.hc[0], genderHCUpper.hc[0], ages.lower, ages.upper, ageInMonths); var hc50 = interpolate(genderHCLower.hc[1], genderHCUpper.hc[1], ages.lower, ages.upper, ageInMonths); var hc97 = interpolate(genderHCLower.hc[2], genderHCUpper.hc[2], ages.lower, ages.upper, ageInMonths); document.getElementById('refHeight3').innerText = height3.toFixed(1); document.getElementById('refHeight50').innerText = height50.toFixed(1); document.getElementById('refHeight97').innerText = height97.toFixed(1); document.getElementById('refWeight3').innerText = weight3.toFixed(1); document.getElementById('refWeight50').innerText = weight50.toFixed(1); document.getElementById('refWeight97').innerText = weight97.toFixed(1); document.getElementById('refHead3').innerText = hc3.toFixed(1); document.getElementById('refHead50').innerText = hc50.toFixed(1); document.getElementById('refHead97').innerText = hc97.toFixed(1); } function updateChart(ageInMonths, gender, height, weight) { var ctx = document.getElementById('growthChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } var chartAgeData = []; var chartHeight50 = []; var chartWeight50 = []; var inputHeightSeries = []; var inputWeightSeries = []; // Prepare data points for the chart up to a certain age limit (e.g., 60 months) for (var months = 0; months <= 60; months += 6) { chartAgeData.push(months); var ages = getClosestAgeData(months); var dataLower = cdcGrowthData[ages.lower]; var dataUpper = cdcGrowthData[ages.upper]; var genderData = dataLower[gender]; var genderUpperData = dataUpper[gender]; chartHeight50.push(interpolate(genderData.height[1], genderUpperData.height[1], ages.lower, ages.upper, months)); chartWeight50.push(interpolate(genderData.weight[1], genderUpperData.weight[1], ages.lower, ages.upper, months)); // Add input data point only if it's relevant to the chart's age range if (months === ageInMonths) { inputHeightSeries.push(height); inputWeightSeries.push(weight); } else { inputHeightSeries.push(null); // Use null to not draw a line segment inputWeightSeries.push(null); } } chartInstance = new Chart(ctx, { type: 'line', data: { labels: chartAgeData.map(function(m) { return m === 0 ? '0' : m/12 + 'y'; }), // Display age in years for readability datasets: [ { label: 'Height (50th Percentile)', data: chartHeight50, borderColor: 'rgba(54, 162, 235, 1)', // Blue backgroundColor: 'rgba(54, 162, 235, 0.2)', fill: false, tension: 0.1 }, { label: 'Weight (50th Percentile)', data: chartWeight50, borderColor: 'rgba(255, 99, 132, 1)', // Red backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1 }, { label: 'Child\'s Height', data: inputHeightSeries, borderColor: 'rgba(75, 192, 192, 1)', // Green backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0, // Straight line point pointRadius: 5, pointHoverRadius: 7 }, { label: 'Child\'s Weight', data: inputWeightSeries, borderColor: 'rgba(255, 159, 64, 1)', // Orange backgroundColor: 'rgba(255, 159, 64, 0.2)', fill: false, tension: 0, // Straight line point pointRadius: 5, pointHoverRadius: 7 } ] }, options: { responsive: true, maintainAspectRatio: true, // Allows chart to resize within its container scales: { x: { title: { display: true, text: 'Age (Years)' } }, y: { title: { display: true, text: 'Measurement' // Generic label, ideally should be dynamic or context-aware } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(1); if (context.dataset.label.includes('Height')) label += ' cm'; if (context.dataset.label.includes('Weight')) label += ' kg'; } return label; } } } } } }); } function validateInput(id, errorId, min, max) { var input = document.getElementById(id); var errorDiv = document.getElementById(errorId); var value = parseFloat(input.value); var isValid = true; errorDiv.innerText = ''; // Clear previous error if (isNaN(value)) { errorDiv.innerText = 'Please enter a valid number.'; isValid = false; } else if (value max) { errorDiv.innerText = 'Value cannot be greater than ' + max + '.'; isValid = false; } // Specific checks for units if (id === 'childAge' && value > 72) { // Approx 6 years for standard charts errorDiv.innerText = 'Age typically above 6 years requires different charts. Max input is 72 months.'; isValid = false; } if (id === 'childHeight' && value > 130) { // Max height for ~6yr old errorDiv.innerText = 'Height seems unusually high for typical ages covered by these charts.'; isValid = false; } if (id === 'childWeight' && value > 30) { // Max weight for ~6yr old errorDiv.innerText = 'Weight seems unusually high for typical ages covered by these charts.'; isValid = false; } if (isValid) { input.style.borderColor = '#ced4da'; // Default border color } else { input.style.borderColor = '#dc3545'; // Error border color } return isValid; } function calculateGrowth() { var ageInput = document.getElementById('childAge'); var genderInput = document.getElementById('childGender'); var heightInput = document.getElementById('childHeight'); var weightInput = document.getElementById('childWeight'); var resultsDiv = document.getElementById('results'); // Clear previous error messages document.getElementById('ageError').innerText = "; document.getElementById('heightError').innerText = "; document.getElementById('weightError').innerText = "; // Validate inputs var isAgeValid = validateInput('childAge', 'ageError', 0, 72); // Max 6 years = 72 months var isHeightValid = validateInput('childHeight', 'heightError', 1, 130); // Approx max height for 6yr old var isWeightValid = validateInput('childWeight', 'weightError', 0.1, 30); // Approx max weight for 6yr old if (!isAgeValid || !isHeightValid || !isWeightValid) { resultsDiv.style.display = 'none'; // Hide results if there are errors return; } var age = parseFloat(ageInput.value); var gender = genderInput.value; var height = parseFloat(heightInput.value); var weight = parseFloat(weightInput.value); var heightPercentile = calculatePercentile(height, age, gender, 'height'); var weightPercentile = calculatePercentile(weight, age, gender, 'weight'); var heightCm = height; // Keep original for display var heightM = height / 100; var bmi = weight / (heightM * heightM); var bmiPercentile = calculateBMIPercentile(bmi, age, gender); document.getElementById('heightPercentile').innerText = heightPercentile + 'th'; document.getElementById('weightPercentile').innerText = weightPercentile + 'th'; document.getElementById('bmiResult').innerText = bmi.toFixed(2) + ' kg/m²'; // Display BMI percentile directly in main result or as a separate value // For this example, we'll show it as part of the main result description var mainResultText = "Height: " + heightPercentile + "th %ile, Weight: " + weightPercentile + "th %ile, BMI: " + bmiPercentile + "th %ile"; document.querySelector('#results .main-result').innerText = mainResultText; document.getElementById('resultAge').innerText = age; document.getElementById('resultGender').innerText = gender.charAt(0).toUpperCase() + gender.slice(1); document.getElementById('resultHeight').innerText = heightCm.toFixed(1); document.getElementById('resultWeight').innerText = weight.toFixed(1); resultsDiv.style.display = 'block'; // Update Reference Table updateReferenceTable(age, gender); // Update Chart updateChart(age, gender, height, weight); } function resetCalculator() { document.getElementById('childAge').value = 24; document.getElementById('childGender').value = 'male'; document.getElementById('childHeight').value = 85; document.getElementById('childWeight').value = 12.5; // Clear errors document.getElementById('ageError').innerText = "; document.getElementById('heightError').innerText = "; document.getElementById('weightError').innerText = "; document.getElementById('childAge').style.borderColor = '#ced4da'; document.getElementById('childHeight').style.borderColor = '#ced4da'; document.getElementById('childWeight').style.borderColor = '#ced4da'; document.getElementById('results').style.display = 'none'; // Clear chart if (chartInstance) { chartInstance.destroy(); chartInstance = null; } var canvas = document.getElementById('growthChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); // Reset reference table (optional, could reset to defaults or leave as last calculated) updateReferenceTable(24, 'male'); // Reset to default age/gender } function copyResults() { var mainResult = document.querySelector('#results .main-result').innerText; var heightP = document.getElementById('heightPercentile').innerText; var weightP = document.getElementById('weightPercentile').innerText; var bmi = document.getElementById('bmiResult').innerText; var resultAge = document.getElementById('resultAge').innerText; var resultGender = document.getElementById('resultGender').innerText; var resultHeight = document.getElementById('resultHeight').innerText; var resultWeight = document.getElementById('resultWeight').innerText; var assumptions = "Assumptions:\n" + "Age: " + resultAge + " months\n" + "Gender: " + resultGender + "\n" + "Height: " + resultHeight + " cm\n" + "Weight: " + resultWeight + " kg"; var textToCopy = "Pediatric Growth Assessment:\n" + mainResult + "\n" + "Height Percentile: " + heightP + "\n" + "Weight Percentile: " + weightP + "\n" + "BMI: " + bmi + "\n\n" + assumptions; // Use temporary textarea for copying var textArea = document.createElement("textarea"); textArea.value = textToCopy; 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!' : 'Copy failed'; // Optionally show a small notification var notification = document.createElement('div'); notification.textContent = msg; notification.style.cssText = 'position: fixed; bottom: 20px; left: 50%; transform: translateX(-50%); background: var(–primary-color); color: white; padding: 10px 20px; border-radius: 5px; z-index: 1000;'; document.body.appendChild(notification); setTimeout(function() { document.body.removeChild(notification); }, 2000); } catch (err) { console.error('Fallback: Oops, unable to copy', err); } document.body.removeChild(textArea); } // Initial calculation on page load for default values document.addEventListener('DOMContentLoaded', function() { calculateGrowth(); // Ensure chart and table are populated on load var defaultAge = parseFloat(document.getElementById('childAge').value); var defaultGender = document.getElementById('childGender').value; updateReferenceTable(defaultAge, defaultGender); updateChart(defaultAge, defaultGender, parseFloat(document.getElementById('childHeight').value), parseFloat(document.getElementById('childWeight').value)); });

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