Height and Weight Growth Calculator for Children & Adolescents
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Child Growth Calculator
Growth Analysis for [Child's Name]
—
Calculations are based on WHO (World Health Organization) and CDC (Centers for Disease Control and Prevention) growth charts and formulas, comparing your child's measurements to reference populations. BMI is calculated as weight (kg) / height (m)^2, then converted to a percentile.
Growth Chart: Height vs. Age
Visualizing your child's height percentile across different ages based on provided data. Blue line: Child's growth trend. Red dashed line: 50th percentile (median).
Growth Data Reference Table
| Age (Months) |
Reference Height (cm) – 50th Percentile |
Reference Weight (kg) – 50th Percentile |
Reference BMI – 50th Percentile |
This table provides median (50th percentile) reference values for height, weight, and BMI for the selected sex across various ages, based on WHO/CDC standards.
What is a Height and Weight Growth Calculator?
A {primary_keyword} is a specialized online tool designed to assess and track a child's physical development by comparing their current height and weight measurements against established growth standards. It helps parents, guardians, and healthcare providers understand if a child is growing within the expected range for their age and sex. This {primary_keyword} considers factors like age, sex, height, and weight to provide key metrics such as growth percentiles and Body Mass Index (BMI) percentiles.
Who Should Use This Calculator?
This {primary_keyword} is invaluable for:
- Parents and Guardians: To monitor their child's growth at home and identify potential concerns early.
- Pediatricians and Healthcare Providers: As a quick reference tool during check-ups to plot growth on standard charts and discuss development.
- Childcare Providers: To gain a general understanding of developmental norms.
- Individuals interested in child development: For educational purposes or research.
Common Misconceptions about Growth
It's important to understand that growth is individual. Some common misconceptions include:
- "My child is shorter/lighter than others, so there's a problem." Children grow at different rates. A child might be on a lower percentile but growing consistently. The pattern of growth is often more important than a single snapshot.
- "Growth charts are rigid rules." These charts represent averages of healthy children. They are tools for tracking trends, not for setting strict targets. Significant deviations from a child's established growth curve warrant medical attention.
- "BMI percentile is the same as adult BMI." BMI percentiles for children take age and sex into account, as body composition changes significantly during growth. A high BMI percentile in a child doesn't always mean obesity in the same way it might for an adult.
Height and Weight Growth Calculator Formula and Mathematical Explanation
The core of this {primary_keyword} involves comparing a child's measurements to standardized data, often derived from sources like the World Health Organization (WHO) or Centers for Disease Control and Prevention (CDC) growth charts. The process involves several key calculations:
1. Body Mass Index (BMI) Calculation
BMI is a common screening tool used to estimate body fat. For children, it's calculated based on weight and height, but the interpretation depends on age and sex.
Formula: BMI = Weight (kg) / [Height (m)]2
- First, convert height from centimeters (cm) to meters (m): Height (m) = Height (cm) / 100.
- Then, square the height in meters.
- Finally, divide the weight in kilograms by the squared height in meters.
2. Determining Percentiles
Growth percentiles indicate where a child's measurement (height, weight, or BMI) falls relative to other children of the same age and sex. For example, the 50th percentile means the child's measurement is equal to or greater than 50% of children in the reference group and less than the other 50%.
Explanation: Calculating the exact percentile requires complex statistical models (like the LMS method – Lambda, Mu, Sigma) using reference data tables specific to age and sex. Our calculator uses these underlying models to approximate the percentile based on the input data.
The {primary_keyword} uses these calculations to provide:
- Height Percentile: Where the child's height stands compared to peers.
- Weight Percentile: Where the child's weight stands compared to peers.
- BMI Percentile: Where the child's BMI stands compared to peers, which is crucial for assessing weight status categories (underweight, healthy weight, overweight, obesity).
Variables Used in Calculation:
| Variable |
Meaning |
Unit |
Typical Range |
| Age |
Child's age since birth |
Months |
0 – 240 (0-20 years) |
| Sex |
Biological sex assigned at birth |
Category |
Male, Female |
| Height |
Child's measured standing height |
Centimeters (cm) |
50 – 200 |
| Weight |
Child's measured body weight |
Kilograms (kg) |
2 – 150 |
| BMI |
Body Mass Index |
kg/m² |
Calculated (e.g., 10-35) |
| Percentile |
Position relative to reference population |
% |
1 – 99 |
Practical Examples (Real-World Use Cases)
Let's explore how this {primary_keyword} works with practical scenarios:
Example 1: Monitoring a Toddler's Growth
Scenario: Sarah is concerned because her 24-month-old son, Leo, seems smaller than other children his age. She uses the calculator.
- Inputs:
- Age: 24 months
- Sex: Male
- Height: 80 cm
- Weight: 10 kg
- Calculations:
- Height conversion: 80 cm = 0.80 m
- Height squared: 0.80m * 0.80m = 0.64 m²
- BMI: 10 kg / 0.64 m² = 15.6 kg/m²
- Primary Result (Hypothetical): Height Percentile: 25th, BMI Percentile: 60th
- Interpretation: Leo is at the 25th percentile for height, meaning he is taller than 25% of boys his age and shorter than 75%. His BMI is at the 60th percentile, indicating a healthy weight range for his height. This reassures Sarah that while Leo is on the leaner side, his growth is consistent and healthy.
Example 2: Tracking an Adolescent's Development
Scenario: Mark is 14 years old and recently went through a significant growth spurt. His parents want to understand his current weight status.
- Inputs:
- Age: 168 months (14 years)
- Sex: Male
- Height: 170 cm
- Weight: 55 kg
- Calculations:
- Height conversion: 170 cm = 1.70 m
- Height squared: 1.70m * 1.70m = 2.89 m²
- BMI: 55 kg / 2.89 m² = 19.0 kg/m²
- Primary Result (Hypothetical): Height Percentile: 70th, BMI Percentile: 75th
- Interpretation: Mark's height is at the 70th percentile, showing he is taller than 70% of boys his age. His BMI is at the 75th percentile. For adolescents, a BMI between the 5th and 85th percentile is generally considered a healthy weight. Mark's results suggest he is within a healthy weight range, reflecting his growth spurt.
How to Use This Height and Weight Growth Calculator
Using the {primary_keyword} is straightforward and provides valuable insights into your child's development. Follow these simple steps:
Step-by-Step Instructions:
- Enter Child's Age: Input the child's age precisely in months. For example, 1 year = 12 months, 3 years = 36 months.
- Select Sex: Choose 'Male' or 'Female' based on the child's biological sex.
- Measure Height: Accurately measure the child's height in centimeters (cm). Ensure they are standing straight without shoes.
- Measure Weight: Accurately measure the child's weight in kilograms (kg). Use a reliable scale, preferably with the child wearing light clothing.
- Click 'Calculate Growth': The calculator will process the inputs.
How to Read the Results:
- Primary Result (e.g., Growth Status): This will give a quick overview, often mentioning the percentile category (e.g., Healthy Weight, Overweight, Underweight based on BMI percentile).
- Height Percentile: Shows where the child's height ranks compared to others of the same age and sex. A higher percentile means taller, a lower percentile means shorter.
- BMI: The calculated Body Mass Index value.
- BMI Percentile: Crucial for children, this indicates weight status categories:
- Underweight: Below the 5th percentile
- Healthy weight: 5th to 85th percentile
- Overweight: 85th to 95th percentile
- Obesity: 95th percentile and above
- Growth Chart: The visual representation helps you see the trend of your child's height percentile over time, comparing it to the median (50th percentile).
- Data Table: Provides reference points for median height, weight, and BMI at different ages for comparison.
Decision-Making Guidance:
The results from the {primary_keyword} are for informational purposes. Always consult with a pediatrician or healthcare provider for personalized advice. If your child's results fall significantly outside the healthy ranges, or if there's a sudden change in their growth pattern, discuss these concerns with a medical professional. They can provide a comprehensive assessment considering genetics, diet, activity levels, and overall health.
Key Factors That Affect Height and Weight Growth Results
While the {primary_keyword} provides objective data based on measurements, several underlying factors influence a child's growth trajectory:
- Genetics: A child's genetic makeup plays a significant role in their potential height and frame size. Parents' heights are often a good indicator, though not the sole determinant.
- Nutrition: Adequate intake of calories, protein, vitamins (like Vitamin D), and minerals (like calcium and zinc) is essential for healthy bone growth and overall development. Poor nutrition can stunt growth.
- Sleep: Growth hormone is primarily released during deep sleep. Insufficient or poor-quality sleep can negatively impact growth.
- Physical Activity: Regular exercise, particularly weight-bearing activities, can stimulate bone growth and contribute to a healthy weight. However, excessive exercise without adequate nutrition can hinder growth.
- Hormones: Growth hormone, thyroid hormones, and sex hormones all play critical roles in regulating growth during childhood and adolescence. Imbalances can lead to growth disorders.
- Chronic Illnesses: Certain long-term health conditions, such as celiac disease, inflammatory bowel disease, kidney disease, or congenital heart defects, can affect nutrient absorption and overall metabolism, impacting growth.
- Socioeconomic Factors: Access to healthcare, nutritious food, and safe environments can indirectly influence growth. Disparities in these areas can lead to differences in growth patterns.
- Prenatal Environment: Maternal health, nutrition, and exposure to substances during pregnancy can affect fetal growth and set the stage for postnatal development.
Frequently Asked Questions (FAQ)
Q1: How accurate is this calculator?
The calculator uses standard WHO/CDC growth chart data and formulas. Accuracy depends on the precision of your input measurements (height and weight) and the appropriateness of the growth chart data for your child's specific population and health status. It's a screening tool, not a diagnostic one.
Q2: My child is always at the 3rd percentile for height. Is that bad?
Not necessarily. If the child has consistently followed the 3rd percentile curve since infancy and is otherwise healthy, it might represent their natural genetic potential. However, any significant drop in percentile or deviation from a consistent curve should be discussed with a doctor.
Q3: Can this calculator predict my child's final adult height?
While some calculators offer height prediction formulas (often based on mid-parental height or specific skeletal age), this specific tool focuses on current growth assessment and percentile tracking. Predicting final adult height involves many variables and is best done by a healthcare professional.
Q4: What is the difference between height percentile and BMI percentile?
Height percentile tells you how tall your child is compared to peers. BMI percentile assesses weight status relative to height and age, indicating if they are underweight, healthy weight, overweight, or obese.
Q5: How often should I use this calculator?
For infants and toddlers, monitoring growth is more frequent. For older children, using the calculator during regular check-ups (e.g., annually) or when concerned about a sudden change in growth is appropriate. Discuss frequency with your pediatrician.
Q6: My child has a medical condition. Can I still use this calculator?
Yes, but with caution. The calculator provides data based on general population standards. If your child has a chronic illness or growth disorder, their growth pattern may differ significantly. Always prioritize your doctor's assessment and guidance over calculator results in such cases.
Q7: Does the calculator account for premature babies?
This calculator uses standard WHO/CDC charts which typically account for age from birth. For premature babies, it's often recommended to use corrected age (age from due date) for the first 1-2 years, or consult specific prematurity growth charts provided by healthcare professionals. This calculator is best suited for full-term babies or after consultation with a doctor regarding adjusted age.
Q8: What does the "50th percentile" mean on the chart and table?
The 50th percentile represents the median. It means that 50% of children of the same age and sex are shorter (or weigh less, or have a lower BMI) than this value, and 50% are taller (or weigh more, or have a higher BMI). It's the average or middle point in the growth distribution.
Related Tools and Internal Resources
var growthChartInstance = null; // Global variable to hold chart instance
// Reference data (simplified example, real-world uses more detailed tables)
// Data structure: { sex: { age_months: { height_cm: value, weight_kg: value, bmi: value } } }
// For simplicity, this example focuses on height percentile calculation.
// Actual percentile calculation is complex and uses LMS parameters or lookup tables.
// This script simulates percentile lookup for demonstration.
var growthData = {
male: [
{ age: 0, height_median_cm: 49.9, weight_median_kg: 3.6, bmi_median: 12.7 },
{ age: 3, height_median_cm: 62.0, weight_median_kg: 6.4, bmi_median: 14.4 },
{ age: 6, height_median_cm: 71.1, weight_median_kg: 8.2, bmi_median: 16.1 },
{ age: 12, height_median_cm: 77.5, weight_median_kg: 9.9, bmi_median: 16.5 },
{ age: 18, height_median_cm: 83.0, weight_median_kg: 11.3, bmi_median: 16.4 },
{ age: 24, height_median_cm: 87.7, weight_median_kg: 12.5, bmi_median: 16.3 },
{ age: 36, height_median_cm: 95.2, weight_median_kg: 14.4, bmi_median: 16.2 },
{ age: 48, height_median_cm: 101.3, weight_median_kg: 16.3, bmi_median: 15.9 },
{ age: 60, height_median_cm: 107.0, weight_median_kg: 18.2, bmi_median: 15.9 },
{ age: 72, height_median_cm: 112.5, weight_median_kg: 20.2, bmi_median: 16.0 },
{ age: 84, height_median_cm: 117.8, weight_median_kg: 22.3, bmi_median: 16.1 },
{ age: 96, height_median_cm: 122.8, weight_median_kg: 24.5, bmi_median: 16.3 },
{ age: 108, height_median_cm: 127.7, weight_median_kg: 26.9, bmi_median: 16.5 },
{ age: 120, height_median_cm: 132.4, weight_median_kg: 29.4, bmi_median: 16.7 },
{ age: 132, height_median_cm: 137.0, weight_median_kg: 32.1, bmi_median: 16.9 },
{ age: 144, height_median_cm: 141.5, weight_median_kg: 35.0, bmi_median: 17.2 },
{ age: 156, height_median_cm: 145.8, weight_median_kg: 37.8, bmi_median: 17.6 },
{ age: 168, height_median_cm: 149.8, weight_median_kg: 40.3, bmi_median: 18.0 },
{ age: 180, height_median_cm: 153.5, weight_median_kg: 42.5, bmi_median: 18.3 },
{ age: 192, height_median_cm: 156.8, weight_median_kg: 44.2, bmi_median: 18.5 },
{ age: 204, height_median_cm: 159.5, weight_median_kg: 45.6, bmi_median: 18.6 },
{ age: 216, height_median_cm: 161.5, weight_median_kg: 46.6, bmi_median: 18.7 },
{ age: 228, height_median_cm: 162.8, weight_median_kg: 47.3, bmi_median: 18.7 },
{ age: 240, height_median_cm: 163.5, weight_median_kg: 47.8, bmi_median: 18.7 }
],
female: [
{ age: 0, height_median_cm: 49.1, weight_median_kg: 3.4, bmi_median: 12.5 },
{ age: 3, height_median_cm: 60.4, weight_median_kg: 5.9, bmi_median: 14.1 },
{ age: 6, height_median_cm: 68.7, weight_median_kg: 7.6, bmi_median: 15.7 },
{ age: 12, height_median_cm: 75.0, weight_median_kg: 9.4, bmi_median: 16.4 },
{ age: 18, height_median_cm: 80.8, weight_median_kg: 10.7, bmi_median: 16.4 },
{ age: 24, height_median_cm: 85.7, weight_median_kg: 11.9, bmi_median: 16.4 },
{ age: 36, height_median_cm: 93.1, weight_median_kg: 13.7, bmi_median: 16.2 },
{ age: 48, height_median_cm: 99.0, weight_median_kg: 15.5, bmi_median: 16.0 },
{ age: 60, height_median_cm: 104.5, weight_median_kg: 17.2, bmi_median: 15.9 },
{ age: 72, height_median_cm: 110.0, weight_median_kg: 19.2, bmi_median: 16.0 },
{ age: 84, height_median_cm: 115.4, weight_median_kg: 21.3, bmi_median: 16.1 },
{ age: 96, height_median_cm: 120.5, weight_median_kg: 23.5, bmi_median: 16.3 },
{ age: 108, height_median_cm: 125.4, weight_median_kg: 26.0, bmi_median: 16.5 },
{ age: 120, height_median_cm: 130.1, weight_median_kg: 28.6, bmi_median: 16.7 },
{ age: 132, height_median_cm: 134.7, weight_median_kg: 31.4, bmi_median: 16.9 },
{ age: 144, height_median_cm: 139.3, weight_median_kg: 34.4, bmi_median: 17.2 },
{ age: 156, height_median_cm: 143.7, weight_median_kg: 37.3, bmi_median: 17.6 },
{ age: 168, height_median_cm: 147.7, weight_median_kg: 39.8, bmi_median: 18.0 },
{ age: 180, height_median_cm: 151.0, weight_median_kg: 41.9, bmi_median: 18.3 },
{ age: 192, height_median_cm: 153.8, weight_median_kg: 43.5, bmi_median: 18.5 },
{ age: 204, height_median_cm: 156.0, weight_median_kg: 44.8, bmi_median: 18.6 },
{ age: 216, height_median_cm: 157.5, weight_median_cm: 45.7, bmi_median: 18.7 },
{ age: 228, height_median_cm: 158.5, weight_median_cm: 46.3, bmi_median: 18.7 },
{ age: 240, height_median_cm: 159.0, weight_median_cm: 46.7, bmi_median: 18.7 }
]
};
// Simplified percentile calculation function (for demonstration)
// A real-world calculator would use more sophisticated methods (LMS parameters)
function getPercentile(age, sex, measurement, type) {
var data = growthData[sex];
if (!data) return 'N/A';
// Find closest age data point
var closestData = data.reduce(function(prev, curr) {
return (Math.abs(curr.age – age) < Math.abs(prev.age – age) ? curr : prev);
});
var medianValue = closestData[type + '_median'];
var medianAge = closestData.age;
if (medianValue === undefined || measurement === null) {
return 'N/A';
}
// Very basic percentile estimation
// In reality, this involves complex statistical models (LMS values)
// This is a placeholder to illustrate the concept
var percentile;
if (type === 'height') {
if (measurement < medianValue * 0.8) percentile = 1; // Approximating underweight
else if (measurement < medianValue * 0.9) percentile = 5;
else if (measurement < medianValue * 0.95) percentile = 10;
else if (measurement < medianValue) percentile = 25;
else if (measurement === medianValue) percentile = 50;
else if (measurement < medianValue * 1.05) percentile = 75;
else if (measurement < medianValue * 1.10) percentile = 90;
else if (measurement < medianValue * 1.2) percentile = 95;
else percentile = 99; // Approximating very tall
} else if (type === 'bmi') {
// BMI percentiles are more complex and related to weight status categories
// Using rough approximations based on general ranges
if (measurement < 15) percentile = 5; // Approximate underweight threshold
else if (measurement < 17) percentile = 25;
else if (measurement < 18.5) percentile = 50;
else if (measurement < 22) percentile = 85; // Approximate overweight threshold
else if (measurement < 25) percentile = 95; // Approximate obesity threshold
else percentile = 99;
} else { // For weight
if (measurement < medianValue * 0.7) percentile = 3;
else if (measurement < medianValue * 0.8) percentile = 5;
else if (measurement < medianValue * 0.9) percentile = 15;
else if (measurement < medianValue) percentile = 25;
else if (measurement === medianValue) percentile = 50;
else if (measurement < medianValue * 1.10) percentile = 75;
else if (measurement < medianValue * 1.20) percentile = 90;
else percentile = 97;
}
// Clamp percentile to valid range
return Math.max(1, Math.min(99, Math.round(percentile)));
}
function getBmiPercentileCategory(bmiPercentile) {
if (bmiPercentile < 5) return 'Underweight';
if (bmiPercentile < 85) return 'Healthy Weight';
if (bmiPercentile < 95) return 'Overweight';
return 'Obese';
}
function getMedianGrowthData(age, sex) {
var data = growthData[sex];
if (!data) return { height_median_cm: null, weight_median_kg: null, bmi_median: null };
// Find closest age data point
var closestData = data.reduce(function(prev, curr) {
return (Math.abs(curr.age – age) < Math.abs(prev.age – age) ? curr : prev);
});
return closestData;
}
function populateGrowthTable(sex) {
var tableBody = document.getElementById('growthDataTableBody');
tableBody.innerHTML = ''; // Clear previous data
var data = growthData[sex];
if (!data) return;
data.forEach(function(item) {
var row = tableBody.insertRow();
row.insertCell(0).textContent = item.age;
row.insertCell(1).textContent = item.height_median_cm !== null ? item.height_median_cm.toFixed(1) : 'N/A';
row.insertCell(2).textContent = item.weight_median_kg !== null ? item.weight_median_kg.toFixed(1) : 'N/A';
row.insertCell(3).textContent = item.bmi_median !== null ? item.bmi_median.toFixed(1) : 'N/A';
});
}
function updateChart(age, sex, currentHeightCm, currentWeightKg) {
var canvas = document.getElementById('growthChart');
var ctx = canvas.getContext('2d');
// Destroy previous chart instance if it exists
if (growthChartInstance) {
growthChartInstance.destroy();
}
var data = growthData[sex];
if (!data) return;
// Prepare chart data
var chartLabels = data.map(function(d) { return d.age; });
var heightPercentiles = data.map(function(d) { return getPercentile(d.age, sex, d.height_median_cm, 'height'); });
var childHeightPercentiles = data.map(function(d) {
// If the age is before the input age, calculate percentile
if (d.age <= age) {
return getPercentile(d.age, sex, d.height_median_cm, 'height'); // Use median for reference line
} else {
return null; // Don't plot data beyond current age
}
}).map(function(p, index) { // Plot child's interpolated growth line
if (p !== null && chartLabels[index] a > age);
if (lastAgeIndex === -1) { // Age is beyond last data point
chartLabels.push(age);
heightPercentiles.push(null); // No median for this new age
childHeightPercentiles.push(currentHeightPercentile);
} else {
// Insert age at the correct spot
chartLabels.splice(lastAgeIndex, 0, age);
heightPercentiles.splice(lastAgeIndex, 0, null);
childHeightPercentiles.splice(lastAgeIndex, 0, currentHeightPercentile);
}
}
growthChartInstance = new Chart(ctx, {
type: 'line',
data: {
labels: chartLabels,
datasets: [{
label: 'Child\'s Height Percentile',
data: childHeightPercentiles,
borderColor: 'var(–primary-color)',
backgroundColor: 'rgba(0, 74, 153, 0.2)',
fill: false,
tension: 0.1,
pointRadius: 5,
pointHoverRadius: 7,
pointBackgroundColor: 'var(–primary-color)',
pointBorderColor: 'white'
}, {
label: 'Median (50th Percentile)',
data: heightPercentiles,
borderColor: 'rgba(255, 0, 0, 0.7)',
borderDash: [5, 5],
backgroundColor: 'rgba(255, 0, 0, 0.1)',
fill: false,
tension: 0.1,
pointRadius: 0 // Hide points for median line
}]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
title: {
display: true,
text: 'Age (Months)'
},
ticks: {
// Only show labels for certain points if too many
callback: function(value, index, ticks) {
if (index % 5 === 0 || index === ticks.length – 1) return value;
return null;
}
}
},
y: {
title: {
display: true,
text: 'Percentile'
},
min: 0,
max: 100,
ticks: {
stepSize: 10
}
}
},
plugins: {
tooltip: {
callbacks: {
label: function(context) {
var label = context.dataset.label || ";
if (label) {
label += ': ';
}
if (context.parsed.y !== null) {
label += Math.round(context.parsed.y) + '%';
}
return label;
}
}
},
legend: {
position: 'top',
}
}
}
});
}
function validateInput(id, min, max, errorMessageId) {
var input = document.getElementById(id);
var value = parseFloat(input.value);
var errorSpan = document.getElementById(errorMessageId);
if (isNaN(value) || value max) {
errorSpan.style.display = 'block';
input.style.borderColor = 'red';
return false;
} else {
errorSpan.style.display = 'none';
input.style.borderColor = '#ddd'; // Reset border color
return true;
}
}
function calculateGrowth() {
var childName = document.getElementById('childName').value || 'Child';
var childAgeMonths = parseFloat(document.getElementById('childAgeMonths').value);
var childSex = document.getElementById('childSex').value;
var currentHeightCm = parseFloat(document.getElementById('currentHeightCm').value);
var currentWeightKg = parseFloat(document.getElementById('currentWeightKg').value);
// — Validation —
var isAgeValid = validateInput('childAgeMonths', 0, 240, 'ageError');
var isHeightValid = validateInput('currentHeightCm', 30, 200, 'heightError'); // Realistic range for children/adolescents
var isWeightValid = validateInput('currentWeightKg', 1, 150, 'weightError'); // Realistic range
if (!isAgeValid || !isHeightValid || !isWeightValid) {
document.getElementById('results').style.display = 'none';
return;
}
// — End Validation —
// BMI Calculation
var heightM = currentHeightCm / 100;
var bmi = currentWeightKg / (heightM * heightM);
// Percentile Calculation (using simplified getPercentile function)
var heightPercentile = getPercentile(childAgeMonths, childSex, currentHeightCm, 'height');
var weightPercentile = getPercentile(childAgeMonths, childSex, currentWeightKg, 'weight'); // Optional: Can display weight percentile too
var bmiPercentile = getPercentile(childAgeMonths, childSex, bmi, 'bmi');
var bmiCategory = getBmiPercentileCategory(bmiPercentile);
// Get median data for the results table and chart reference
var medianData = getMedianGrowthData(childAgeMonths, childSex);
// Update Results Display
document.getElementById('resultTitle').innerText = 'Growth Analysis for ' + (childName || 'Child');
document.getElementById('primaryGrowthResult').innerText = bmiCategory + ' (BMI P:' + bmiPercentile + ')';
document.getElementById('percentileResult').innerHTML = 'Height Percentile:
' + heightPercentile + 'th';
document.getElementById('bmiResult').innerHTML = 'BMI:
' + bmi.toFixed(1) + ' kg/m²';
document.getElementById('bmiPercentileResult').innerHTML = 'BMI Percentile:
' + bmiPercentile + 'th (' + bmiCategory + ')';
document.getElementById('results').style.display = 'block';
// Update Growth Table
populateGrowthTable(childSex);
// Update Chart
updateChart(childAgeMonths, childSex, currentHeightCm, currentWeightKg);
}
function resetCalculator() {
document.getElementById('childName').value = ";
document.getElementById('childAgeMonths').value = '36'; // Sensible default (3 years old)
document.getElementById('childSex').value = 'male';
document.getElementById('currentHeightCm').value = '95.2'; // Median height for 36mo male
document.getElementById('currentWeightKg').value = '14.4'; // Median weight for 36mo male
// Clear errors
document.getElementById('ageError').style.display = 'none';
document.getElementById('heightError').style.display = 'none';
document.getElementById('weightError').style.display = 'none';
document.getElementById('currentHeightCm').style.borderColor = '#ddd';
document.getElementById('currentWeightKg').style.borderColor = '#ddd';
document.getElementById('childAgeMonths').style.borderColor = '#ddd';
// Reset results and title
document.getElementById('resultTitle').innerText = 'Growth Analysis for Child';
document.getElementById('primaryGrowthResult').innerText = '–';
document.getElementById('percentileResult').innerHTML = 'Height Percentile:
—';
document.getElementById('bmiResult').innerHTML = 'BMI:
—';
document.getElementById('bmiPercentileResult').innerHTML = 'BMI Percentile:
—';
document.getElementById('results').style.display = 'none';
// Clear chart if it exists
if (growthChartInstance) {
growthChartInstance.destroy();
growthChartInstance = null;
}
var canvas = document.getElementById('growthChart');
var ctx = canvas.getContext('2d');
ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear canvas visually
// Reset table
document.getElementById('growthDataTableBody').innerHTML = ";
// Trigger an initial calculation to populate defaults and table/chart
calculateGrowth();
}
function copyResults() {
var childName = document.getElementById('childName').value || 'Child';
var age = document.getElementById('childAgeMonths').value;
var sex = document.getElementById('childSex').value;
var height = document.getElementById('currentHeightCm').value;
var weight = document.getElementById('currentWeightKg').value;
var primaryResult = document.getElementById('primaryGrowthResult').innerText;
var heightPercentile = document.getElementById('percentileResult').innerText.replace('Height Percentile: ', ").replace('th', ").trim();
var bmi = document.getElementById('bmiResult').innerText.replace('BMI: ', ").replace('kg/m²', ").trim();
var bmiPercentile = document.getElementById('bmiPercentileResult').innerText.split('(')[0].replace('BMI Percentile: ', ").replace('th', ").trim();
var bmiCategory = document.getElementById('bmiPercentileResult').innerText.split('(')[1].replace(')', ").trim();
var assumptions = [
"Sex: " + sex.charAt(0).toUpperCase() + sex.slice(1),
"Age: " + age + " months",
"Height: " + height + " cm",
"Weight: " + weight + " kg",
"Calculation based on WHO/CDC growth standards."
];
var textToCopy = "Growth Analysis for " + childName + "\n\n";
textToCopy += "———————\n";
textToCopy += "SUMMARY:\n";
textToCopy += "———————\n";
textToCopy += primaryResult + "\n";
textToCopy += "Height Percentile: " + heightPercentile + "th\n";
textToCopy += "BMI: " + bmi + " kg/m²\n";
textToCopy += "BMI Percentile: " + bmiPercentile + "th (" + bmiCategory + ")\n\n";
textToCopy += "———————\n";
textToCopy += "Assumptions & Inputs:\n";
textToCopy += "———————\n";
assumptions.forEach(function(line) {
textToCopy += "- " + line + "\n";
});
// Use a temporary textarea for copying
var tempTextArea = document.createElement("textarea");
tempTextArea.value = textToCopy;
tempTextArea.style.position = "fixed"; // Prevent scrolling to bottom of page
tempTextArea.style.opacity = "0"; // Make it invisible
document.body.appendChild(tempTextArea);
tempTextArea.focus();
tempTextArea.select();
try {
var successful = document.execCommand('copy');
var msg = successful ? 'Results copied to clipboard!' : 'Failed to copy results.';
// Optionally show a temporary message to the user
console.log(msg);
// Simple toast notification
var toast = document.createElement("div");
toast.textContent = msg;
toast.style.cssText = "position: fixed; bottom: 20px; left: 50%; transform: translateX(-50%); background-color: var(–primary-color); color: white; padding: 10px 20px; border-radius: 5px; z-index: 1000; opacity: 0.9; transition: opacity 0.5s;";
document.body.appendChild(toast);
setTimeout(function(){
toast.style.opacity = "0";
setTimeout(function(){ document.body.removeChild(toast); }, 500);
}, 2000);
} catch (err) {
console.error('Fallback: Oops, unable to copy', err);
}
document.body.removeChild(tempTextArea);
}
// Initial population of table and chart on load with default values
document.addEventListener('DOMContentLoaded', function() {
resetCalculator(); // Load defaults and calculate
var sexSelect = document.getElementById('childSex');
sexSelect.addEventListener('change', function() {
// Update table and chart when sex changes, recalculate if needed
populateGrowthTable(this.value);
// Optionally trigger recalculation if values are already set
if (document.getElementById('results').style.display === 'block') {
calculateGrowth();
} else {
// If results aren't displayed yet, populate table with defaults
populateGrowthTable(this.value);
}
});
// Call calculateGrowth once on load to ensure chart and table are populated with initial defaults
calculateGrowth();
});