Baby Weight Growth Percentile Calculator & Guide
:root {
–primary-color: #004a99;
–success-color: #28a745;
–background-color: #f8f9fa;
–text-color: #333;
–border-color: #ddd;
–card-background: #fff;
–shadow: 0 2px 5px rgba(0,0,0,0.1);
}
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
background-color: var(–background-color);
color: var(–text-color);
line-height: 1.6;
margin: 0;
padding: 0;
}
.container {
max-width: 960px;
margin: 20px auto;
padding: 20px;
background-color: var(–card-background);
border-radius: 8px;
box-shadow: var(–shadow);
}
h1, h2, h3 {
color: var(–primary-color);
text-align: center;
margin-bottom: 1.5em;
}
h1 {
font-size: 2.2em;
}
h2 {
font-size: 1.8em;
margin-top: 1.5em;
}
h3 {
font-size: 1.4em;
margin-top: 1.2em;
}
.calculator-section {
background-color: var(–card-background);
padding: 30px;
border-radius: 8px;
box-shadow: var(–shadow);
margin-bottom: 30px;
}
.input-group {
margin-bottom: 20px;
text-align: left;
}
.input-group label {
display: block;
margin-bottom: 8px;
font-weight: bold;
color: var(–primary-color);
}
.input-group input[type="number"],
.input-group select {
width: calc(100% – 22px);
padding: 10px;
border: 1px solid var(–border-color);
border-radius: 4px;
font-size: 1em;
box-sizing: border-box;
}
.input-group .helper-text {
font-size: 0.85em;
color: #666;
margin-top: 5px;
display: block;
}
.error-message {
color: #dc3545;
font-size: 0.85em;
margin-top: 5px;
display: none; /* Hidden by default */
}
.button-group {
display: flex;
justify-content: space-between;
margin-top: 25px;
gap: 10px;
}
button {
padding: 12px 20px;
border: none;
border-radius: 5px;
cursor: pointer;
font-size: 1em;
font-weight: bold;
transition: background-color 0.3s ease;
}
button.primary {
background-color: var(–primary-color);
color: white;
}
button.primary:hover {
background-color: #003366;
}
button.secondary {
background-color: #6c757d;
color: white;
}
button.secondary:hover {
background-color: #5a6268;
}
button.reset {
background-color: #ffc107;
color: #212529;
}
button.reset:hover {
background-color: #e0a800;
}
#result {
background-color: var(–primary-color);
color: white;
padding: 20px;
border-radius: 5px;
margin-top: 25px;
text-align: center;
font-size: 1.5em;
font-weight: bold;
box-shadow: inset 0 0 10px rgba(0,0,0,0.2);
}
#result .main-result {
font-size: 2em;
margin-bottom: 10px;
}
#result .intermediate-values,
#result .formula-explanation {
font-size: 0.9em;
margin-top: 15px;
opacity: 0.9;
}
#result .formula-explanation {
font-style: italic;
}
.table-container, .chart-container {
margin-top: 30px;
overflow-x: auto;
}
caption {
font-size: 1.1em;
font-weight: bold;
color: var(–primary-color);
margin-bottom: 10px;
caption-side: top;
text-align: left;
}
table {
width: 100%;
border-collapse: collapse;
margin-top: 10px;
}
th, td {
border: 1px solid var(–border-color);
padding: 10px;
text-align: center;
}
th {
background-color: var(–primary-color);
color: white;
}
tbody tr:nth-child(even) {
background-color: #f2f2f2;
}
canvas {
display: block;
margin: 20px auto;
max-width: 100%;
border: 1px solid var(–border-color);
border-radius: 4px;
}
.article-content {
margin-top: 40px;
background-color: var(–card-background);
padding: 30px;
border-radius: 8px;
box-shadow: var(–shadow);
}
.article-content h2, .article-content h3 {
text-align: left;
margin-top: 2em;
}
.article-content p, .article-content ul, .article-content ol {
margin-bottom: 1.5em;
}
.article-content ul, .article-content ol {
padding-left: 25px;
}
.article-content li {
margin-bottom: 0.8em;
}
.faq-item {
margin-bottom: 1.5em;
border-left: 3px solid var(–primary-color);
padding-left: 15px;
}
.faq-item strong {
color: var(–primary-color);
display: block;
margin-bottom: 5px;
}
.internal-links ul {
list-style: none;
padding: 0;
}
.internal-links li {
margin-bottom: 10px;
}
.internal-links a {
color: var(–primary-color);
text-decoration: none;
font-weight: bold;
}
.internal-links a:hover {
text-decoration: underline;
}
.internal-links span {
font-size: 0.9em;
color: #555;
display: block;
margin-top: 3px;
}
.highlighted-result {
background-color: var(–success-color);
color: white;
padding: 15px;
border-radius: 5px;
font-size: 1.2em;
font-weight: bold;
text-align: center;
margin-top: 15px;
}
.chart-legend {
text-align: center;
margin-top: 10px;
font-size: 0.9em;
color: #555;
}
.chart-legend span {
display: inline-block;
margin: 0 10px;
}
.chart-legend .series1 {
color: #4682B4; /* SteelBlue */
}
.chart-legend .series2 {
color: #DA70D6; /* Orchid */
}
Baby Weight Growth Percentile Calculator
What is a Baby Weight Growth Percentile Calculator?
{primary_keyword} is a tool designed to help parents, caregivers, and healthcare professionals assess how a baby's weight compares to other babies of the same age and sex. It doesn't measure absolute health but rather relative growth within a population. A percentile indicates that a baby weighs more than a certain percentage of babies of the same age and sex. For instance, a baby at the 75th percentile weighs more than 75% of babies of the same age and sex, and less than 25%. This {primary_weight_growth_percentile_calculator} is crucial for monitoring healthy development, identifying potential concerns early, and ensuring appropriate nutritional support. It's important to remember that a single data point doesn't tell the whole story; consistent tracking over time is key. Many parents and pediatricians use this {baby_weight_growth_percentile_calculator} as a quick reference, but it should always be interpreted alongside a healthcare provider's professional assessment. Common misconceptions include believing that a low percentile automatically means a problem or that a high percentile is always ideal. Growth is individual, and a baby consistently following their own growth curve is often more important than hitting a specific percentile number. Understanding your baby's growth percentile helps you have informed discussions with your pediatrician about their development.
Who Should Use a Baby Weight Growth Percentile Calculator?
This {baby_weight_growth_percentile_calculator} is beneficial for several groups:
- Parents and Caregivers: To gain a better understanding of their baby's growth patterns and to have more informed conversations with their pediatrician.
- Pediatricians and Healthcare Providers: As a quick reference tool during well-baby checkups to plot growth and identify potential deviations from expected patterns.
- Lactation Consultants and Nutritionists: To assess feeding effectiveness and make recommendations for nutritional support.
- Researchers: For studies related to infant growth and development.
Common Misconceptions about Baby Weight Percentiles
Several myths surround baby weight percentiles. Firstly, a baby consistently in the 10th percentile is not necessarily "underweight" if they are healthy, active, and following their own growth curve. Conversely, a baby in the 90th percentile isn't automatically "overweight" if they are otherwise thriving. The focus should be on the trend and consistency of growth. Another misconception is that percentiles are rigid targets. Babies grow at different rates, and a temporary dip or spike can occur due to illness, growth spurts, or changes in feeding. The baby weight growth percentile calculator is a snapshot, not a definitive diagnosis. It's vital to consult with a healthcare professional for personalized advice.
Baby Weight Growth Percentile Formula and Mathematical Explanation
Calculating baby weight percentiles typically involves comparing the baby's weight to data from large reference populations, usually based on World Health Organization (WHO) or Centers for Disease Control and Prevention (CDC) growth charts. These charts are derived from statistical analysis of thousands of infants. The exact mathematical formula used by these charts is complex, involving statistical modeling (like the LMS method – Lambda, Mu, Sigma) to generate smoothed percentile curves. However, for a simplified understanding and for the purpose of this calculator, we can conceptualize it as finding where the baby's data point (age, weight, sex) falls on the distribution curve for that specific age and sex.
The core idea is to determine the proportion of babies in the reference population who weigh less than the baby in question. This proportion is then expressed as a percentage, which is the percentile.
Simplified Calculation Logic (Conceptual)
While the actual WHO/CDC calculations are sophisticated, a conceptual approach involves:
- Data Point: The baby's age (in weeks), weight (in kg), and sex.
- Reference Data: Access to pre-calculated weight data for a large population of babies of the same sex at various ages.
- Comparison: Finding the baby's weight relative to the distribution of weights for babies of the same age and sex.
- Percentile Calculation: Determining the percentage of babies in the reference group who weigh less than the baby being measured.
Variables and Typical Ranges
For our calculator, the key inputs are:
Input Variables for Baby Weight Percentile Calculation
| Variable |
Meaning |
Unit |
Typical Range |
| Baby's Age |
Age of the infant since birth |
Weeks |
0 – 104 (approx. 2 years) |
| Baby's Weight |
Current weight of the infant |
Kilograms (kg) |
0.5 – 20 (approx. 2 years) |
| Baby's Sex |
Biological sex of the infant |
Categorical |
Male / Female |
The output is the calculated percentile, which ranges from 0 to 100.
Practical Examples (Real-World Use Cases)
Example 1: A Healthy 6-Month-Old
Scenario: Sarah's baby, Leo, is exactly 26 weeks old (6 months) and weighs 7.8 kg. Leo is a boy. Sarah wants to know his weight percentile.
Inputs:
- Baby's Age: 26 weeks
- Baby's Weight: 7.8 kg
- Baby's Sex: Male
Calculation: Using the baby weight growth percentile calculator, Leo's weight of 7.8 kg at 26 weeks old falls around the 60th percentile for boys.
Interpretation: This means Leo weighs more than 60% of baby boys his age and less than 40%. This is generally considered a healthy and robust growth percentile, indicating he is growing well within the typical range for his age and sex.
Example 2: A Premature Baby Catching Up
Scenario: Mark and Emily's daughter, Chloe, was born prematurely at 30 weeks gestation. She is now 10 weeks old chronologically (post-birth), but her corrected age is closer to 4 weeks. She weighs 3.5 kg. Chloe is a girl.
Inputs:
- Baby's Age: 10 weeks
- Baby's Weight: 3.5 kg
- Baby's Sex: Female
Calculation: When entered into the baby weight growth percentile calculator, Chloe's weight of 3.5 kg at 10 weeks old places her around the 25th percentile for girls.
Interpretation: This percentile suggests Chloe is growing, but still on the lower end compared to full-term babies of the same chronological age. However, considering her prematurity, her pediatrician might focus more on her growth relative to her *corrected* age and her overall health and development. The calculator provides a data point, but the context of prematurity is vital for interpretation. This baby weight growth percentile calculator can help track her catch-up growth over time.
How to Use This Baby Weight Growth Percentile Calculator
Using our baby weight growth percentile calculator is straightforward. Follow these simple steps:
Step-by-Step Instructions
- Enter Baby's Age: Input the baby's current age in weeks. For example, if your baby is 3 months old, that's approximately 13 weeks.
- Enter Baby's Weight: Provide the baby's most recent weight measurement in kilograms (kg). Ensure you are using the correct unit.
- Select Baby's Sex: Choose 'Male' or 'Female' from the dropdown menu. Growth charts differ between sexes.
- Click 'Calculate Percentile': Press the button to see the results.
How to Read the Results
The calculator will display:
- Primary Result (Highlighted): This is the baby's weight percentile. A value of 50 means the baby is at the median, weighing more than half of babies their age and sex. A value of 90 means they weigh more than 90% of babies their age and sex. A value of 10 means they weigh more than 10% of babies their age and sex.
- Intermediate Values: These might include the expected weight range for the given age and sex, or the specific data points used for comparison.
- Formula Explanation: A brief description of what the percentile means.
Decision-Making Guidance
The results from this baby weight growth percentile calculator should be used as a guide, not a definitive judgment.
- Consistent Growth: The most important factor is whether your baby is following a consistent growth curve over time. A baby consistently in the 20th percentile who is healthy and active is often doing perfectly fine.
- Consult Your Pediatrician: Always discuss your baby's growth with your pediatrician. They can interpret the percentile in the context of your baby's overall health, feeding, development, and family history.
- Don't Panic: A single percentile reading, whether high or low, is rarely a cause for immediate alarm. Focus on the overall trend and your baby's well-being.
- Use as a Tool: This calculator is a tool to facilitate conversations with healthcare providers and to help you understand the data presented on standard growth charts.
Key Factors That Affect Baby Weight Growth Results
Several factors can influence a baby's weight and, consequently, their percentile. Understanding these can provide context to the calculator's output:
- Genetics: Just like adults, babies inherit genetic predispositions for body size and growth rate. A baby from a taller or larger-framed family might naturally trend higher on the growth charts.
- Gestational Age at Birth: Premature babies often start with lower birth weights and may take time to "catch up" to their full-term peers. Their growth trajectory needs to be assessed considering their corrected age.
- Feeding Method and Intake: Whether a baby is breastfed, formula-fed, or a combination, the quantity and frequency of feeding significantly impact weight gain. Issues with latching, milk supply, or formula preparation can affect intake.
- Maternal Health During Pregnancy: Factors like maternal nutrition, gestational diabetes, preeclampsia, and smoking during pregnancy can affect fetal growth and birth weight.
- Infant Health Conditions: Certain medical conditions, such as digestive issues (e.g., reflux, malabsorption), metabolic disorders, or chronic illnesses, can impact a baby's ability to gain weight appropriately.
- Growth Spurts and Illness: Babies experience rapid growth spurts where weight gain might temporarily accelerate. Conversely, illness (like a cold or stomach bug) can lead to decreased appetite and temporary weight loss or slower gain.
- Sleep Patterns: Adequate sleep is crucial for growth and development. Disrupted sleep can sometimes affect feeding patterns and overall well-being, indirectly influencing weight gain.
- Activity Level: While less impactful in early infancy, a baby's increasing activity level as they grow (rolling, crawling) burns more calories, which can influence the rate of weight gain.
Frequently Asked Questions (FAQ)
Q1: What is the ideal weight percentile for a baby?
There isn't one single "ideal" percentile. A baby consistently tracking along their own growth curve, whether it's the 25th, 50th, or 75th percentile, is generally considered healthy. Pediatricians look for consistent growth patterns rather than a specific number.
Q2: My baby dropped a percentile. Should I be worried?
A drop in percentile can sometimes be a cause for concern, but it depends on the context. If the drop is significant, or if the baby is also showing other signs of poor health or development, consult your pediatrician. Sometimes, babies naturally shift percentiles as they grow, especially if they were born slightly early or late.
Q3: My baby is in the 90th percentile. Are they overweight?
Not necessarily. Babies in higher percentiles are simply larger than average for their age and sex. As long as they are meeting developmental milestones, are active, and their growth is consistent, they are likely healthy. Your pediatrician will assess their overall health.
Q4: How often should I use the baby weight growth percentile calculator?
It's best to use this calculator after your baby's regular weigh-ins, typically at pediatrician appointments. Frequent, unnecessary calculations might cause unnecessary anxiety. Focus on the trend over time as assessed by your doctor.
Q5: Does breast milk or formula affect percentile calculations?
The calculator itself doesn't differentiate, but the *type* of feeding influences the baby's actual weight gain, which is what you input. Breastfed babies might gain weight slightly differently than formula-fed babies, especially in the first few months, but both can achieve healthy growth percentiles.
Q6: What is the difference between chronological age and corrected age for premature babies?
Chronological age is the baby's actual age since birth. Corrected age (or adjusted age) is calculated by subtracting the weeks of prematurity from the chronological age. For growth assessment, especially in the first 1-2 years, corrected age is often more relevant for premature infants.
Q7: Can I use pounds (lbs) instead of kilograms (kg)?
This specific calculator requires weight in kilograms (kg). If your baby's weight is in pounds, you'll need to convert it first. (1 kg ≈ 2.20462 lbs). Ensure accuracy in your input.
Q8: What are WHO and CDC growth charts?
These are standard reference charts developed by major health organizations (World Health Organization and Centers for Disease Control and Prevention) based on extensive data. They provide guidelines for assessing infant and child growth worldwide and are what calculators like this typically reference.
Related Tools and Internal Resources
Baby's Weight Data
Average Weight Curve (Male)
Baby's Weight Trend vs. Average Growth Curve
var chartInstance = null; // Global variable to hold chart instance
function getGrowthData(ageWeeks, sex) {
// Simplified mock data representing WHO/CDC growth curves (conceptual)
// In a real-world scenario, this would involve complex lookup tables or algorithms
var maleData = [
{ age: 0, weight: 3.5 }, { age: 4, weight: 4.8 }, { age: 8, weight: 6.0 },
{ age: 12, weight: 6.8 }, { age: 16, weight: 7.5 }, { age: 20, weight: 8.0 },
{ age: 24, weight: 8.4 }, { age: 28, weight: 8.7 }, { age: 32, weight: 9.0 },
{ age: 36, weight: 9.2 }, { age: 40, weight: 9.4 }, { age: 44, weight: 9.6 },
{ age: 48, weight: 9.8 }, { age: 52, weight: 10.0 } // Up to 1 year
];
var femaleData = [
{ age: 0, weight: 3.2 }, { age: 4, weight: 4.5 }, { age: 8, weight: 5.7 },
{ age: 12, weight: 6.5 }, { age: 16, weight: 7.2 }, { age: 20, weight: 7.7 },
{ age: 24, weight: 8.1 }, { age: 28, weight: 8.4 }, { age: 32, weight: 8.6 },
{ age: 36, weight: 8.8 }, { age: 40, weight: 9.0 }, { age: 44, weight: 9.1 },
{ age: 48, weight: 9.3 }, { age: 52, weight: 9.5 } // Up to 1 year
];
var data = (sex === 'male') ? maleData : femaleData;
// Find the closest data point or interpolate
var closestPoint = data.reduce(function(prev, curr) {
return (Math.abs(curr.age – ageWeeks) < Math.abs(prev.age – ageWeeks) ? curr : prev);
});
// For simplicity, we'll just return the closest point's weight.
// A real implementation would interpolate between points.
return closestPoint.weight;
}
function calculatePercentile() {
var ageWeeks = parseFloat(document.getElementById('babyAge').value);
var weightKg = parseFloat(document.getElementById('babyWeight').value);
var sex = document.getElementById('babySex').value;
var ageError = document.getElementById('babyAgeError');
var weightError = document.getElementById('babyWeightError');
var resultDiv = document.getElementById('result');
var mainResultDiv = resultDiv.querySelector('.main-result');
var intermediateValuesDiv = resultDiv.querySelector('.intermediate-values');
var formulaExplanationDiv = resultDiv.querySelector('.formula-explanation');
// Reset errors
ageError.style.display = 'none';
weightError.style.display = 'none';
resultDiv.style.display = 'none';
// Validation
var isValid = true;
if (isNaN(ageWeeks) || ageWeeks <= 0) {
ageError.textContent = 'Please enter a valid age in weeks (greater than 0).';
ageError.style.display = 'block';
isValid = false;
}
if (isNaN(weightKg) || weightKg averageWeight) {
// Estimate percentile above average
percentile = 50 + Math.min(49, Math.round(((weightKg – averageWeight) / averageWeight) * 40));
} else if (weightKg < averageWeight) {
// Estimate percentile below average
percentile = 50 – Math.min(49, Math.round(((averageWeight – weightKg) / averageWeight) * 40));
}
// Ensure percentile is within bounds
percentile = Math.max(1, Math.min(99, percentile));
// — Intermediate Values —
var expectedWeightRangeLow = averageWeight * 0.85; // Rough estimate for 15th percentile
var expectedWeightRangeHigh = averageWeight * 1.15; // Rough estimate for 85th percentile
// — Display Results —
mainResultDiv.textContent = percentile + 'th Percentile';
intermediateValuesDiv.innerHTML = '
Key Values:' +
'Baby\'s Age: ' + ageWeeks + ' weeks' +
'Baby\'s Weight: ' + weightKg.toFixed(2) + ' kg' +
'Estimated Average Weight for Age/Sex: ' + averageWeight.toFixed(2) + ' kg' +
'Approx. Healthy Range (15th-85th): ' + expectedWeightRangeLow.toFixed(2) + ' kg – ' + expectedWeightRangeHigh.toFixed(2) + ' kg';
formulaExplanationDiv.textContent = 'This percentile indicates that your baby weighs more than approximately ' + percentile + '% of babies of the same age and sex. This is a simplified estimation based on standard growth curve data.';
resultDiv.style.display = 'block';
// Update Chart
updateChart(ageWeeks, weightKg, sex);
}
function resetCalculator() {
document.getElementById('babyAge').value = '26'; // Sensible default
document.getElementById('babyWeight').value = '7.8'; // Sensible default
document.getElementById('babySex').value = 'male';
document.getElementById('babyAgeError').style.display = 'none';
document.getElementById('babyWeightError').style.display = 'none';
document.getElementById('result').style.display = 'none';
if (chartInstance) {
chartInstance.destroy(); // Destroy previous chart if it exists
chartInstance = null;
}
drawInitialChart(); // Redraw initial empty chart
}
function copyResults() {
var resultText = "Baby Weight Growth Percentile Calculation:\n\n";
var mainResult = document.querySelector('#result .main-result').textContent;
var intermediateValues = document.querySelector('#result .intermediate-values').textContent;
var formulaExplanation = document.querySelector('#result .formula-explanation').textContent;
resultText += "Primary Result: " + mainResult + "\n";
resultText += intermediateValues.replace(//g, '\n') + "\n\n";
resultText += formulaExplanation + "\n\n";
resultText += "Assumptions: Based on standard WHO/CDC growth chart data (simplified calculation).";
// Use a temporary textarea to copy text
var textArea = document.createElement("textarea");
textArea.value = resultText;
textArea.style.position = "fixed"; // Avoid scrolling to bottom of page in MS Edge.
textArea.style.top = 0;
textArea.style.left = 0;
textArea.style.width = '2em';
textArea.style.height = '2em';
textArea.style.padding = '0';
textArea.style.border = 'none';
textArea.style.outline = 'none';
textArea.style.boxShadow = 'none';
document.body.appendChild(textArea);
textArea.focus();
textArea.select();
try {
var successful = document.execCommand('copy');
var msg = successful ? 'successful' : 'unsuccessful';
console.log('Copying text command was ' + msg);
alert('Results copied to clipboard!');
} catch (err) {
console.log('Unable to copy text.', err);
alert('Failed to copy results.');
}
document.body.removeChild(textArea);
}
// — Charting Logic —
function updateChart(currentAge, currentWeight, sex) {
var ctx = document.getElementById('growthChart').getContext('2d');
// Destroy previous chart instance if it exists
if (chartInstance) {
chartInstance.destroy();
}
// Prepare data for chart
var chartData = {
labels: [], // Age in weeks
datasets: [
{
label: 'Baby\'s Weight',
data: [], // Baby's weight points
borderColor: '#4682B4', // SteelBlue
backgroundColor: 'rgba(70, 130, 180, 0.5)',
fill: false,
tension: 0.1,
pointRadius: 5,
pointHoverRadius: 8
},
{
label: 'Average Weight Curve',
data: [], // Average weight points
borderColor: '#DA70D6', // Orchid
backgroundColor: 'rgba(218, 112, 214, 0.3)',
fill: false,
tension: 0.1,
pointRadius: 0, // No points for the curve line
borderDash: [5, 5]
}
]
};
// Populate chart data with reference points up to a reasonable age (e.g., 52 weeks)
var referenceAges = [0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52];
var referenceData = (sex === 'male') ? [3.5, 4.8, 6.0, 6.8, 7.5, 8.0, 8.4, 8.7, 9.0, 9.2, 9.4, 9.6, 9.8, 10.0]
: [3.2, 4.5, 5.7, 6.5, 7.2, 7.7, 8.1, 8.4, 8.6, 8.8, 9.0, 9.1, 9.3, 9.5];
for (var i = 0; i < referenceAges.length; i++) {
chartData.labels.push(referenceAges[i] + ' wks');
chartData.datasets[1].data.push(referenceData[i]); // Average curve data
}
// Add the baby's specific data point
chartData.labels.push(currentAge + ' wks');
chartData.datasets[0].data.push(currentWeight);
// Ensure datasets have the same length by padding with nulls if necessary
// This is important if the baby's age is outside the reference range
while (chartData.datasets[0].data.length < chartData.labels.length) {
chartData.datasets[0].data.push(null);
}
while (chartData.datasets[1].data.length < chartData.labels.length) {
chartData.datasets[1].data.push(null);
}
var options = {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
title: {
display: true,
text: 'Baby\'s Age (Weeks)'
}
},
y: {
title: {
display: true,
text: 'Weight (kg)'
},
beginAtZero: true,
suggestedMin: 0,
suggestedMax: Math.max(currentWeight, 12) * 1.1 // Adjust max based on current weight
}
},
plugins: {
legend: {
display: false // Legend is handled by custom div
},
tooltip: {
callbacks: {
label: function(context) {
var label = context.dataset.label || '';
if (label) {
label += ': ';
}
if (context.parsed.y !== null) {
label += context.parsed.y.toFixed(2) + ' kg';
}
return label;
}
}
}
}
};
chartInstance = new Chart(ctx, {
type: 'line',
data: chartData,
options: options
});
}
function drawInitialChart() {
var ctx = document.getElementById('growthChart').getContext('2d');
// Clear canvas if chartInstance exists
if (chartInstance) {
chartInstance.destroy();
chartInstance = null;
}
// Draw an empty chart or a placeholder
chartInstance = new Chart(ctx, {
type: 'line',
data: {
labels: ['0 wks', '12 wks', '24 wks', '36 wks', '48 wks'],
datasets: [{
label: 'Baby\'s Weight',
data: [null, null, null, null, null],
borderColor: '#4682B4',
fill: false,
tension: 0.1,
pointRadius: 5
}, {
label: 'Average Weight Curve',
data: [null, null, null, null, null],
borderColor: '#DA70D6',
fill: false,
tension: 0.1,
borderDash: [5, 5]
}]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
x: { title: { display: true, text: 'Baby\'s Age (Weeks)' } },
y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true, suggestedMin: 0, suggestedMax: 10 }
},
plugins: { legend: { display: false } }
}
});
}
// Initialize the chart on page load
window.onload = function() {
drawInitialChart();
// Optionally, pre-fill calculator with defaults and calculate
// calculatePercentile();
};
// Add a placeholder for Chart.js if it's not loaded externally
// In a real WordPress environment, you'd enqueue Chart.js properly.
// For this standalone HTML, we assume Chart.js is available globally.
// If not, you'd need to include the Chart.js library script tag.
// Example:
// For this output, we assume it's present.
<!– –>