Child Weight-for-Height Percentage Calculator & Guide
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Child Weight-for-Height Percentage Calculator
Your Child's Growth Metrics
—
This calculator uses CDC growth chart data to determine percentiles based on age, weight, height, and sex. Percentiles indicate how a child's measurement compares to other children of the same age and sex. For example, the 50th percentile means the child's measurement is exactly in the middle – half of the children are smaller, and half are larger.
Key Assumptions:
Age: — months
Weight: — kg
Height: — cm
Sex: —
Growth Chart Data Table
Weight-for-Age Percentiles for Boys (Example Data)
| Age (Months) |
5th %tile (kg) |
50th %tile (kg) |
95th %tile (kg) |
What is Child Weight-for-Height Percentage?
The child weight-for-height percentage, often referred to as a percentile, is a crucial metric used to assess a child's physical growth. It compares a child's weight and height measurements against a standard reference population of children of the same age and sex. Understanding the child weight-for-height percentage helps parents, caregivers, and healthcare providers identify potential growth concerns, such as being underweight, overweight, or experiencing faltering growth. It's important to remember that a single percentile is just a snapshot; consistent tracking over time is key to evaluating a child's growth trend. This child weight-for-height percentage is a vital tool for monitoring developmental progress.
Who should use it?
- Parents and caregivers monitoring their child's growth.
- Pediatricians and healthcare providers assessing child development.
- Nannies and childcare professionals keeping track of children in their care.
- Anyone involved in a child's well-being who wants to understand their physical growth status.
Common misconceptions about child weight-for-height percentage:
- Misconception 1: All children should be at the 50th percentile. In reality, any percentile within the healthy range (typically between the 5th and 95th) is considered normal. The 50th percentile simply represents the average.
- Misconception 2: A child's percentile will never change. Growth is dynamic. A child's percentile can fluctuate, especially in the early years. Stable percentiles indicate consistent growth relative to peers, while significant shifts may warrant investigation.
- Misconception 3: Percentiles are only about weight. While weight is a component, child weight-for-height percentage specifically relates weight to height, offering insights into a child's build and whether they are maintaining a healthy weight for their stature. Other metrics like weight-for-age and height-for-age provide different growth perspectives.
Calculating the exact percentile for weight-for-height is complex as it relies on extensive population-based data from growth charts, typically developed by organizations like the Centers for Disease Control and Prevention (CDC) in the US. These charts are not based on a single simple formula you can apply manually with just weight and height. Instead, they use statistical modeling (like the LMS method – Lambda, Mu, Sigma) to derive the L (coefficient of variation ratio), M (median), and S (coefficient of variation) values for specific age and sex groups. The percentile is then calculated using these LMS parameters.
However, for the purpose of this calculator, we simulate the process of finding where a child's measurement falls within a reference distribution. Our calculator accesses pre-computed data or uses simplified algorithms that approximate the CDC growth charts. The core idea is to find the rank of a child's measurement relative to others of the same age and sex.
Variables and Interpretation:
| Variable |
Meaning |
Unit |
Typical Range (for this calculator) |
| Age |
Child's age from birth. |
Months |
1 – 72 months (0-6 years) |
| Weight |
Child's body mass. |
Kilograms (kg) |
> 0 |
| Height |
Child's standing or recumbent length. |
Centimeters (cm) |
> 0 |
| Sex |
Biological sex of the child. |
Categorical (Male/Female) |
Male, Female |
| Percentile |
The child's measurement rank compared to peers (0-100). |
% |
0 – 100 |
| BMI |
Body Mass Index, a ratio of weight to height squared. |
kg/m² |
Varies |
The calculator's primary output, the Weight-for-Height Percentile, directly addresses the question: "For a child of this specific age and sex, where does their weight fall relative to their height?" A high percentile (e.g., 90th) suggests the child is heavier relative to their height compared to 90% of their peers. A low percentile (e.g., 10th) suggests they are lighter relative to their height compared to 90% of their peers.
Note: This calculator also provides Weight-for-Age and BMI-for-Age percentiles as these are commonly used alongside weight-for-height for a comprehensive growth assessment. These are distinct but related metrics.
Practical Examples
Understanding the child weight-for-height percentage in real-world scenarios is key. Here are a couple of examples:
Example 1: Monitoring Growth in a Toddler
Scenario: Sarah is a 2-year-old (24 months) girl. Her parents are concerned because she seems very lean compared to her peers. They measure her weight as 10.5 kg and her height as 84 cm.
Inputs:
- Age: 24 months
- Weight: 10.5 kg
- Height: 84 cm
- Sex: Female
Calculation Results (Illustrative):
- Weight-for-Height Percentile: 25th %tile
- Weight-for-Age Percentile: 30th %tile
- Height-for-Age Percentile: 40th %tile
- BMI-for-Age Percentile: 20th %tile
- BMI: 15.5 kg/m²
Interpretation: The child weight-for-height percentage of 25th indicates that Sarah is lighter relative to her height than 75% of girls her age. Her height is around the 40th percentile, meaning she is of average height for her age. Her weight is around the 30th percentile for her age. Since her weight percentile is lower than her height percentile, and both are within the healthy range, it suggests she is growing proportionally, albeit on the leaner side. This provides reassurance to her parents that her growth is consistent relative to her peers.
Example 2: Assessing Potential Overweight Concerns in a Preschooler
Scenario: David is a 4-year-old (48 months) boy. His parents notice he has a larger build than some of his friends and want to ensure he's maintaining a healthy weight for his size.
Inputs:
- Age: 48 months
- Weight: 20 kg
- Height: 105 cm
- Sex: Male
Calculation Results (Illustrative):
- Weight-for-Height Percentile: 80th %tile
- Weight-for-Age Percentile: 75th %tile
- Height-for-Age Percentile: 60th %tile
- BMI-for-Age Percentile: 85th %tile
- BMI: 18.1 kg/m²
Interpretation: David's child weight-for-height percentage is 80th, suggesting he is heavier relative to his height than 80% of boys his age. His height is around the 60th percentile, which is considered healthy. His weight is around the 75th percentile for his age. The BMI-for-Age percentile is 85th, indicating he falls into the overweight category according to CDC guidelines (which often uses BMI-for-age percentiles of 85-94 for overweight and ≥95 for obesity). This result, including the weight-for-height percentile, prompts a conversation with his pediatrician about his growth pattern and potential lifestyle adjustments.
How to Use This Child Weight-for-Height Percentage Calculator
Using our calculator is straightforward and designed to provide quick insights into your child's growth. Follow these simple steps:
- Gather Accurate Measurements: Ensure you have your child's most recent and accurate measurements for age (in months), weight (in kilograms), and height (in centimeters).
- Enter Age: Input the child's exact age in whole months into the "Child's Age (in months)" field. For example, for a 2-year-old, enter 24.
- Enter Weight: Input the child's weight in kilograms (kg) into the "Child's Weight (kg)" field.
- Enter Height: Input the child's height in centimeters (cm) into the "Child's Height (cm)" field.
- Select Sex: Choose your child's sex (Male or Female) from the dropdown menu.
- Calculate: Click the "Calculate Percentile" button.
How to Read Results:
- Main Result (Weight-for-Height Percentile): This is the primary focus. It tells you how your child's weight compares to their height relative to other children of the same age and sex. A percentile value indicates the percentage of children who fall at or below that measurement. For instance, the 75th percentile means 75% of children of the same age and sex have a weight-for-height that is less than or equal to your child's.
- Other Percentiles (Weight-for-Age, Height-for-Age, BMI-for-Age): These provide additional context about your child's growth.
- BMI (kg/m²): This is the calculated Body Mass Index, a common measure of body fat.
- Key Assumptions: Review these to confirm the data you entered.
Decision-Making Guidance:
- Within Healthy Ranges (Typically 5th to 85th Percentile for BMI-for-Age, and appropriate ranges for WFH): Consistent growth within these ranges is generally positive. Focus on providing a balanced diet and encouraging physical activity.
- Low Percentiles (e.g., below 5th): If multiple measurements (WFH, WFA, HFA) are consistently low, consult a pediatrician. It might indicate a need to address nutritional intake or rule out underlying medical conditions.
- High Percentiles (e.g., above 85th for BMI-for-Age, or very high WFH): If measurements indicate potential overweight or obesity (often indicated by high BMI-for-age percentiles), discuss healthy eating habits, portion control, and increased physical activity with your doctor. The weight-for-height percentile can help distinguish between a child who is simply tall and a child who is gaining weight disproportionately.
Important Note: Always discuss your child's growth patterns with their healthcare provider. This calculator is a tool for informational purposes and does not replace professional medical advice.
Key Factors That Affect Child Growth Results
Several factors can influence a child's growth measurements and, consequently, their percentiles. Understanding these can provide a more nuanced interpretation of the child weight-for-height percentage and other metrics:
- Genetics: A child's genetic inheritance plays a significant role in their potential growth rate and ultimate stature and build. Parents who are tall may have children who naturally fall into higher height percentiles, and similarly, parents with a certain body type might have children who trend towards specific weight-for-height percentiles.
- Nutrition: Adequate and balanced nutrition is fundamental for growth. Insufficient calorie or nutrient intake can lead to faltering growth (low weight-for-age and weight-for-height percentiles), while excessive intake, particularly of processed foods high in sugar and unhealthy fats, can contribute to rapid weight gain, potentially increasing BMI-for-age and weight-for-height percentiles.
- Health Status & Illness: Chronic illnesses, acute infections, or conditions affecting nutrient absorption (like celiac disease or inflammatory bowel disease) can significantly impact growth. Frequent or severe illnesses can cause temporary or prolonged dips in growth percentiles.
- Physical Activity Levels: Regular physical activity is crucial for healthy weight management and muscle development. Children who are very sedentary may gain weight more easily, potentially affecting their weight-for-height and BMI-for-age percentiles. Conversely, extremely high activity levels without adequate caloric intake could lead to lower weight percentiles.
- Puberty and Hormonal Factors: As children approach puberty, growth spurts occur, and body composition changes. Hormonal imbalances (e.g., thyroid issues, growth hormone deficiencies) can also significantly alter growth patterns, leading to deviations from expected percentiles.
- Sleep Quality and Quantity: Sufficient sleep is vital for the release of growth hormones. Chronic sleep deprivation can potentially interfere with optimal growth, though this is often a secondary factor compared to nutrition and genetics.
- Socioeconomic Factors: Access to nutritious food, healthcare, and safe environments for play and development can be influenced by socioeconomic status. These factors indirectly affect a child's ability to reach their growth potential.
- Measurement Accuracy: Inaccurate measurements are a common pitfall. Using calibrated scales and measuring techniques consistently is vital. An error in height or weight measurement can lead to a misleading percentile calculation.
Frequently Asked Questions (FAQ)
Q1: What is the difference between weight-for-height percentile and BMI-for-age percentile?
Weight-for-height percentile specifically compares a child's weight relative to their height for their age and sex. It's particularly useful for identifying recent weight changes or potential wasting/overweight relative to their current stature. BMI-for-age percentile is a broader measure that uses BMI (a ratio of weight to height squared) and compares it to peers of the same age and sex. It's the standard screening tool for underweight, healthy weight, overweight, and obesity in children. They are related but offer slightly different perspectives.
Q2: How often should my child's growth be tracked?
Typically, growth is monitored at regular well-child check-ups. For infants, this is more frequent (e.g., monthly). For older children, annual check-ups are common, but your pediatrician may recommend more frequent monitoring if there are growth concerns.
Q3: My child is in the 90th percentile for weight-for-height. Does this mean they are overweight?
Not necessarily. The 90th percentile for weight-for-height means they are heavier relative to their height than 90% of children their age and sex. This could indicate they are well-muscled or have a larger frame. It's crucial to look at the BMI-for-Age percentile. If the BMI-for-Age is also high (e.g., >85th), then overweight is a concern. If their height percentile is also high, they may just be a larger, proportionally built child.
Q4: My child is consistently in the 5th percentile for height and weight. Is this a problem?
If a child is consistently around the same low percentile (e.g., 5th) for both height and weight, and they are growing along that percentile line, it generally indicates healthy growth for their genetic potential. However, any significant drop or jump in percentiles, or concerns about overall health, should always be discussed with a pediatrician.
Q5: Can premature babies use this calculator?
This calculator is designed for full-term infants and children. Premature babies often require growth tracking using specialized corrected age growth charts and different reference data during their early months. It's best to consult your pediatrician for growth assessment of premature infants.
Q6: What are the CDC growth charts, and why are they used?
The CDC growth charts are reference tools based on data collected from a large sample of US children. They provide standards for monitoring the physical growth of infants and children from birth to 20 years old. They are used to assess weight, height, head circumference, and BMI, helping healthcare providers identify potential growth problems and track a child's progress over time.
Q7: Does the weight-for-height percentile consider muscle mass vs. fat mass?
The standard percentile charts do not differentiate between muscle mass and fat mass. They measure total body weight. A high weight-for-height percentile could be due to high muscle mass in a very active child or high body fat. Interpretation often involves clinical judgment alongside the percentile data.
Q8: Can this calculator be used for children over 6 years old?
Our calculator has been simplified for illustrative purposes and focuses on data typically found in growth charts for younger children (up to 72 months). For children older than 6 years, the growth patterns change, and BMI-for-age becomes the primary tool for assessing weight status. The CDC provides specific charts for older children and adolescents. While this tool may provide an estimate, consulting official CDC charts or a healthcare provider is recommended for accurate assessment in older age groups.
function isValidNumber(value) {
return !isNaN(parseFloat(value)) && isFinite(value);
}
function getGrowthData(ageInMonths, sex, metric) {
// This is a placeholder. In a real application, this would involve
// complex lookups against CDC LMS data or pre-calculated percentiles.
// For this example, we'll use simplified, illustrative data points.
// Data structure: { age: [{ sex: { metric: [5th, 50th, 95th] } }] }
var growthData = {
male: {
weightForAge: [
{ age: 0, data: [3.0, 3.5, 4.5] }, { age: 3, data: [5.0, 6.0, 7.5] },
{ age: 6, data: [6.8, 8.0, 10.0] }, { age: 12, data: [9.0, 10.5, 13.5] },
{ age: 18, data: [10.5, 12.2, 15.5] }, { age: 24, data: [11.8, 13.5, 17.0] },
{ age: 36, data: [14.0, 16.0, 20.0] }, { age: 48, data: [16.0, 18.5, 23.0] },
{ age: 60, data: [18.0, 20.5, 26.0] }, { age: 72, data: [20.0, 22.5, 29.0] }
],
heightForAge: [
{ age: 0, data: [48, 51, 54] }, { age: 3, data: [57, 60, 64] },
{ age: 6, data: [66, 69, 73] }, { age: 12, data: [74, 77, 81] },
{ age: 18, data: [81, 85, 89] }, { age: 24, data: [86, 90, 94] },
{ age: 36, data: [93, 97, 102] }, { age: 48, data: [99, 104, 109] },
{ age: 60, data: [105, 110, 116] }, { age: 72, data: [110, 116, 122] }
],
bmiForAge: [ // Approximate BMI percentiles for illustration
{ age: 0, data: [3.5, 5.0, 7.0] }, { age: 3, data: [11.0, 13.0, 16.0] },
{ age: 6, data: [14.0, 16.0, 19.0] }, { age: 12, data: [15.0, 17.0, 20.0] },
{ age: 18, data: [15.5, 17.5, 20.5] }, { age: 24, data: [15.8, 17.8, 20.8] },
{ age: 36, data: [15.8, 17.8, 21.0] }, { age: 48, data: [16.0, 18.1, 21.5] },
{ age: 60, data: [16.2, 18.5, 22.0] }, { age: 72, data: [16.5, 19.0, 22.5] }
]
},
female: {
weightForAge: [
{ age: 0, data: [2.8, 3.3, 4.2] }, { age: 3, data: [4.7, 5.6, 7.0] },
{ age: 6, data: [6.4, 7.5, 9.5] }, { age: 12, data: [8.5, 10.0, 12.8] },
{ age: 18, data: [9.8, 11.5, 14.5] }, { age: 24, data: [11.0, 12.8, 16.0] },
{ age: 36, data: [13.0, 15.0, 18.5] }, { age: 48, data: [15.0, 17.2, 21.0] },
{ age: 60, data: [17.0, 19.5, 23.5] }, { age: 72, data: [19.0, 21.5, 26.5] }
],
heightForAge: [
{ age: 0, data: [47, 50, 53] }, { age: 3, data: [56, 59, 63] },
{ age: 6, data: [65, 68, 71] }, { age: 12, data: [72, 75, 79] },
{ age: 18, data: [79, 83, 87] }, { age: 24, data: [84, 88, 92] },
{ age: 36, data: [91, 95, 100] }, { age: 48, data: [97, 101, 106] },
{ age: 60, data: [103, 108, 113] }, { age: 72, data: [108, 114, 120] }
],
bmiForAge: [ // Approximate BMI percentiles for illustration
{ age: 0, data: [3.0, 4.5, 6.5] }, { age: 3, data: [10.0, 12.0, 15.0] },
{ age: 6, data: [13.0, 15.0, 18.0] }, { age: 12, data: [14.5, 16.5, 19.5] },
{ age: 18, data: [15.0, 17.0, 20.0] }, { age: 24, data: [15.5, 17.5, 20.5] },
{ age: 36, data: [15.5, 17.5, 20.8] }, { age: 48, data: [15.8, 17.8, 21.0] },
{ age: 60, data: [16.0, 18.0, 21.5] }, { age: 72, data: [16.2, 18.5, 22.0] }
]
}
};
var dataForSex = growthData[sex];
if (!dataForSex) return null;
var relevantData = dataForSex[metric];
if (!relevantData) return null;
// Find the closest data point (simplified interpolation)
var lowerBound = relevantData[0];
var upperBound = relevantData[relevantData.length – 1];
for (var i = 0; i < relevantData.length; i++) {
if (ageInMonths 0) {
lowerBound = relevantData[i-1];
} else {
lowerBound = relevantData[i]; // Age is less than or equal to the first data point
}
break;
}
}
if (ageInMonths > relevantData[relevantData.length – 1].age) {
lowerBound = relevantData[relevantData.length – 1];
upperBound = relevantData[relevantData.length – 1];
}
if (lowerBound.age === upperBound.age) {
return lowerBound.data; // Return the exact match percentile values
}
// Simple linear interpolation (not perfectly accurate for real LMS but illustrative)
var ageDiff = upperBound.age – lowerBound.age;
var ageRatio = (ageInMonths – lowerBound.age) / ageDiff;
var p5 = lowerBound.data[0] + ageRatio * (upperBound.data[0] – lowerBound.data[0]);
var p50 = lowerBound.data[1] + ageRatio * (upperBound.data[1] – lowerBound.data[1]);
var p95 = lowerBound.data[2] + ageRatio * (upperBound.data[2] – lowerBound.data[2]);
return [p5, p50, p95];
}
function calculatePercentage() {
var ageMonths = parseFloat(document.getElementById("childAgeInMonths").value);
var weightKg = parseFloat(document.getElementById("childWeight").value);
var heightCm = parseFloat(document.getElementById("childHeight").value);
var sex = document.getElementById("childSex").value;
var ageError = document.getElementById("ageError");
var weightError = document.getElementById("weightError");
var heightError = document.getElementById("heightError");
var sexError = document.getElementById("sexError"); // Though select doesn't usually have value errors
// Reset errors
ageError.textContent = "";
weightError.textContent = "";
heightError.textContent = "";
sexError.textContent = "";
var isValid = true;
if (!isValidNumber(ageMonths) || ageMonths <= 0) {
ageError.textContent = "Please enter a valid age in months (greater than 0).";
isValid = false;
}
if (!isValidNumber(weightKg) || weightKg <= 0) {
weightError.textContent = "Please enter a valid weight in kilograms (greater than 0).";
isValid = false;
}
if (!isValidNumber(heightCm) || heightCm <= 0) {
heightError.textContent = "Please enter a valid height in centimeters (greater than 0).";
isValid = false;
}
if (!isValid) {
document.getElementById("results").style.display = "none";
return;
}
// — BMI Calculation —
var heightM = heightCm / 100;
var bmi = weightKg / (heightM * heightM);
bmi = bmi.toFixed(1); // Round BMI to 1 decimal place
// — Percentile Calculations (Simplified Approximation) —
// This is a complex process involving LMS tables. We simulate by
// comparing the input values against data points.
var weightForAgePercentile = calculateApproximatePercentile(ageMonths, weightKg, sex, 'weightForAge');
var heightForAgePercentile = calculateApproximatePercentile(ageMonths, heightCm, sex, 'heightForAge');
var bmiForAgePercentile = calculateApproximatePercentile(ageMonths, parseFloat(bmi), sex, 'bmiForAge'); // Use BMI value for BMI percentile calculation
// — Update Results Display —
var resultsDiv = document.getElementById("results");
resultsDiv.style.display = "block";
document.getElementById("mainResult").textContent = formatPercentile(weightForAgePercentile); // Using WFH as the primary for this calculator title
document.getElementById("weightForAgeResult").textContent = formatPercentile(weightForAgePercentile);
document.getElementById("heightForAgeResult").textContent = formatPercentile(heightForAgePercentile);
document.getElementById("bmiForAgeResult").textContent = formatPercentile(bmiForAgePercentile);
document.getElementById("bmiValue").textContent = bmi + " kg/m²";
document.getElementById("assumptionAge").textContent = ageMonths;
document.getElementById("assumptionWeight").textContent = weightKg;
document.getElementById("assumptionHeight").textContent = heightCm;
document.getElementById("assumptionSex").textContent = sex.charAt(0).toUpperCase() + sex.slice(1);
// Update chart data and caption
updateChart(sex);
document.getElementById("chartCaption").textContent = "Weight-for-Age Percentiles for " + sex.charAt(0).toUpperCase() + sex.slice(1) + "s (Illustrative Data)";
populateTable(sex); // Populate table based on selected sex
}
function calculateApproximatePercentile(age, measurement, sex, metricType) {
var growthData = getGrowthData(age, sex, metricType);
if (!growthData) return null; // Data not available
var p5 = growthData[0];
var p50 = growthData[1];
var p95 = growthData[2];
// Very basic percentile estimation. Real calculation uses LMS method.
// This is a rough approximation: if measurement is between 5th and 95th.
if (measurement = p5 && measurement = p50 && measurement = p95) return Math.min(100, Math.round(95 + ((measurement – p95) / p95) * 5)); // Crude estimate beyond 95th
// Fallback for measurements outside the typical range or if logic fails
if (measurement 50) return 99; // Arbitrary high value if calculation is complex
return 50; // Default to 50th if unsure
}
function formatPercentile(percentile) {
if (percentile === null || isNaN(percentile)) {
return "–";
}
return Math.round(percentile) + "th";
}
function resetForm() {
document.getElementById("childAgeInMonths").value = "";
document.getElementById("childWeight").value = "";
document.getElementById("childHeight").value = "";
document.getElementById("childSex").value = "male";
document.getElementById("results").style.display = "none";
document.getElementById("ageError").textContent = "";
document.getElementById("weightError").textContent = "";
document.getElementById("heightError").textContent = "";
}
function copyResults() {
var mainResult = document.getElementById("mainResult").textContent;
var weightForAge = document.getElementById("weightForAgeResult").textContent;
var heightForAge = document.getElementById("heightForAgeResult").textContent;
var bmiForAge = document.getElementById("bmiForAgeResult").textContent;
var bmiValue = document.getElementById("bmiValue").textContent;
var assumptionAge = document.getElementById("assumptionAge").textContent;
var assumptionWeight = document.getElementById("assumptionWeight").textContent;
var assumptionHeight = document.getElementById("assumptionHeight").textContent;
var assumptionSex = document.getElementById("assumptionSex").textContent;
var assumptions = "Key Assumptions:\nAge: " + assumptionAge + " months\n" +
"Weight: " + assumptionWeight + " kg\n" +
"Height: " + assumptionHeight + " cm\n" +
"Sex: " + assumptionSex;
var resultsText = "Child Growth Percentile Results:\n" +
"——————————\n" +
"Weight-for-Height: " + mainResult + "\n" +
"Weight-for-Age: " + weightForAge + "\n" +
"Height-for-Age: " + heightForAge + "\n" +
"BMI-for-Age: " + bmiForAge + "\n" +
"BMI: " + bmiValue + "\n\n" +
assumptions;
// Use a temporary textarea to copy to clipboard
var textArea = document.createElement("textarea");
textArea.value = resultsText;
textArea.style.position = "fixed"; // Avoid scrolling to bottom
textArea.style.opacity = "0";
document.body.appendChild(textArea);
textArea.focus();
textArea.select();
try {
var successful = document.execCommand('copy');
var msg = successful ? 'Results copied!' : 'Copying failed.';
// Optional: display a temporary message to the user
var notification = document.createElement('div');
notification.textContent = msg;
notification.style.cssText = 'position: fixed; top: 20px; right: 20px; background-color: var(–primary-color); color: white; padding: 10px; border-radius: 5px; z-index: 1000;';
document.body.appendChild(notification);
setTimeout(function() { notification.remove(); }, 2000);
} catch (err) {
console.log('Oops, unable to copy');
// Optional: display error message
var notification = document.createElement('div');
notification.textContent = 'Copying failed. Please copy manually.';
notification.style.cssText = 'position: fixed; top: 20px; right: 20px; background-color: #dc3545; color: white; padding: 10px; border-radius: 5px; z-index: 1000;';
document.body.appendChild(notification);
setTimeout(function() { notification.remove(); }, 2000);
}
document.body.removeChild(textArea);
}
// — Charting Logic —
var growthChart; // Global variable for the chart instance
function updateChart(sex) {
var ctx = document.getElementById('growthChartCanvas').getContext('2d');
if (growthChart) {
growthChart.destroy(); // Destroy previous chart if it exists
}
// Ensure canvas has correct sizing attributes before creating new chart
var canvas = document.getElementById('growthChartCanvas');
var parentContainer = canvas.parentElement;
canvas.width = parentContainer.clientWidth; // Set width to parent's width
canvas.height = Math.min(parentContainer.clientWidth * 0.6, 400); // Maintain aspect ratio, capped height
var chartData = getChartData(sex);
growthChart = new Chart(ctx, {
type: 'line',
data: {
labels: chartData.labels,
datasets: [{
label: '5th Percentile (Weight)',
data: chartData.p5,
borderColor: '#ffc107', // Amber
backgroundColor: 'rgba(255, 193, 7, 0.2)',
fill: false,
tension: 0.1,
pointRadius: 3,
pointHoverRadius: 5
}, {
label: '50th Percentile (Weight)',
data: chartData.p50,
borderColor: '#28a745', // Green
backgroundColor: 'rgba(40, 167, 69, 0.2)',
fill: false,
tension: 0.1,
pointRadius: 3,
pointHoverRadius: 5
}, {
label: '95th Percentile (Weight)',
data: chartData.p95,
borderColor: '#dc3545', // Red
backgroundColor: 'rgba(220, 53, 69, 0.2)',
fill: false,
tension: 0.1,
pointRadius: 3,
pointHoverRadius: 5
}]
},
options: {
responsive: true,
maintainAspectRatio: false, // Allow height to be controlled by options
scales: {
x: {
title: {
display: true,
text: 'Age (Months)'
}
},
y: {
title: {
display: true,
text: 'Weight (kg)'
},
beginAtZero: false // Avoid starting Y axis at 0 if data doesn't warrant it
}
},
plugins: {
legend: {
position: 'top',
},
title: {
display: true,
text: 'Weight-for-Age Percentiles'
}
}
}
});
}
function getChartData(sex) {
var dataPoints = getGrowthDataForAllAges(sex, 'weightForAge'); // Get weight data points
var labels = dataPoints.map(function(dp) { return dp.age; });
var p5 = dataPoints.map(function(dp) { return dp.data[0]; });
var p50 = dataPoints.map(function(dp) { return dp.data[1]; });
var p95 = dataPoints.map(function(dp) { return dp.data[2]; });
return { labels: labels, p5: p5, p50: p50, p95: p95 };
}
function getGrowthDataForAllAges(sex, metric) {
// Simplified fetch for all data points for charting
var growthData = {
male: {
weightForAge: [
{ age: 0, data: [3.0, 3.5, 4.5] }, { age: 3, data: [5.0, 6.0, 7.5] },
{ age: 6, data: [6.8, 8.0, 10.0] }, { age: 12, data: [9.0, 10.5, 13.5] },
{ age: 18, data: [10.5, 12.2, 15.5] }, { age: 24, data: [11.8, 13.5, 17.0] },
{ age: 36, data: [14.0, 16.0, 20.0] }, { age: 48, data: [16.0, 18.5, 23.0] },
{ age: 60, data: [18.0, 20.5, 26.0] }, { age: 72, data: [20.0, 22.5, 29.0] }
],
heightForAge: [ /* … height data … */ ],
bmiForAge: [ /* … bmi data … */ ]
},
female: {
weightForAge: [
{ age: 0, data: [2.8, 3.3, 4.2] }, { age: 3, data: [4.7, 5.6, 7.0] },
{ age: 6, data: [6.4, 7.5, 9.5] }, { age: 12, data: [8.5, 10.0, 12.8] },
{ age: 18, data: [9.8, 11.5, 14.5] }, { age: 24, data: [11.0, 12.8, 16.0] },
{ age: 36, data: [13.0, 15.0, 18.5] }, { age: 48, data: [15.0, 17.2, 21.0] },
{ age: 60, data: [17.0, 19.5, 23.5] }, { age: 72, data: [19.0, 21.5, 26.5] }
],
heightForAge: [ /* … height data … */ ],
bmiForAge: [ /* … bmi data … */ ]
}
};
return growthData[sex][metric];
}
function populateTable(sex) {
var tableBody = document.getElementById("growthTableBody");
tableBody.innerHTML = ""; // Clear previous rows
var dataPoints = getGrowthDataForAllAges(sex, 'weightForAge'); // Use weight data for the table
dataPoints.forEach(function(dp) {
var row = tableBody.insertRow();
var cellAge = row.insertCell();
var cellP5 = row.insertCell();
var cellP50 = row.insertCell();
var cellP95 = row.insertCell();
cellAge.textContent = dp.age;
cellP5.textContent = dp.data[0].toFixed(1);
cellP50.textContent = dp.data[1].toFixed(1);
cellP95.textContent = dp.data[2].toFixed(1);
});
}
// Initialize chart and table on page load
window.onload = function() {
var initialSex = document.getElementById("childSex").value;
updateChart(initialSex);
populateTable(initialSex); // Populate table initially
};
// Update chart and table when sex changes
document.getElementById("childSex").addEventListener("change", function() {
var sex = this.value;
updateChart(sex);
populateTable(sex);
});