Baby Weight Percentage Calculator – Track Growth Milestones
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Baby Weight Percentage Calculator
Your Baby's Growth Analysis
—
Weight (kg): —
Age (Months): —
Sex: —
Growth Percentile: —
Weight Category: —
Formula Used: The baby weight percentage calculator estimates your baby's weight percentile by comparing their current weight and age to WHO (World Health Organization) growth standards. This percentile indicates the percentage of babies of the same age and sex that weigh less than your baby.
Growth Data Table
WHO Growth Standards (Weight in kg)
| Age (Months) |
Sex |
3rd Percentile |
15th Percentile |
50th Percentile (Median) |
85th Percentile |
97th Percentile |
Baby's Weight Growth Chart
Comparison of Baby's Weight to WHO Growth Standards
What is a Baby Weight Percentage Calculator?
A baby weight percentage calculator, often referred to as a baby growth percentile calculator, is a vital tool for parents and healthcare providers. It helps to assess a baby's growth trajectory by comparing their current weight against established growth charts. These charts, typically based on data from organizations like the World Health Organization (WHO) or national health bodies, represent the weight distribution of a large population of healthy babies of the same age and sex. The calculator outputs a percentile, which signifies the percentage of babies that fall below a particular weight at a specific age. For instance, if a baby is in the 75th percentile for weight, it means they weigh more than 75% of babies of the same age and sex, and less than 25%.
Who should use it?
- New Parents: To gain peace of mind and understand if their baby's growth is within the expected range.
- Caregivers: To monitor a baby's nutritional status and overall health.
- Pediatricians and Healthcare Professionals: As a standard tool for tracking infant development during check-ups.
Common Misconceptions:
- Myth: A low percentile means the baby is unhealthy. Reality: A consistent percentile within the normal range (typically between the 3rd and 97th percentile) is more important than the specific number. Rapid fluctuations or consistently falling outside the normal range warrant medical attention.
- Myth: Babies should follow the 50th percentile exactly. Reality: The 50th percentile is just the median; babies can grow healthily at any consistent percentile within the standard range.
- Myth: The calculator replaces professional medical advice. Reality: While informative, this tool is not a substitute for a pediatrician's assessment, which considers many factors beyond just weight.
Baby Weight Percentage Calculator Formula and Mathematical Explanation
The core of the baby weight percentage calculator relies on comparing the baby's measured weight against standardized growth curves. While the exact mathematical calculation to derive a percentile from raw data can be complex, involving statistical distributions (like the LMS method – Lambda, Mu, Sigma), most online calculators use pre-computed tables or simplified approximations based on these standards. The fundamental concept is to determine where the baby's weight falls on the distribution curve for their specific age and sex.
Step-by-step derivation (Conceptual):
- Data Input: The calculator takes the baby's current weight (in kg) and age (in months), along with their sex.
- Reference Data: It accesses a database or set of reference values derived from growth charts (e.g., WHO standards). These standards provide weight ranges for specific percentiles (like 3rd, 15th, 50th, 85th, 97th) at different ages and for both sexes.
- Comparison: The baby's weight is compared to the weight values for their age and sex at various percentiles.
- Interpolation/Estimation: If the baby's weight falls between two standard percentile points, the calculator may interpolate to estimate the precise percentile. For example, if a baby's weight is exactly between the 50th and 85th percentile weights for their age, their percentile might be estimated around the 67.5th percentile.
- Categorization: Based on the calculated percentile, the baby is assigned a weight category (e.g., Underweight, Healthy Weight, Overweight, Obese) according to established guidelines.
Variable Explanations:
Variables Used in Baby Weight Percentage Calculation
| Variable |
Meaning |
Unit |
Typical Range |
| Baby's Current Weight |
The measured weight of the infant at the time of calculation. |
Kilograms (kg) |
0.5 kg – 20 kg (approx. for first 2 years) |
| Baby's Age |
The infant's age since birth. |
Months |
0 – 24 months (common range for calculators) |
| Baby's Sex |
Biological sex of the infant (Male/Female). |
Categorical |
Male, Female |
| Growth Standard Data |
Reference weight data from established growth charts (e.g., WHO). |
Kilograms (kg) |
Varies by age and percentile |
| Calculated Percentile |
The estimated percentage of babies of the same age and sex who weigh less than the baby. |
Percent (%) |
0% – 100% (typically displayed as 3rd-97th percentile range) |
Practical Examples (Real-World Use Cases)
Understanding the baby weight percentage calculator is best done through practical examples:
Example 1: Healthy Growth
- Inputs:
- Baby's Current Weight: 8.2 kg
- Baby's Age: 9 months
- Baby's Sex: Female
- Calculation: The calculator compares 8.2 kg for a 9-month-old female against WHO standards.
- Outputs:
- Primary Result: 65th Percentile
- Weight Category: Healthy Weight
- Intermediate Values: Weight: 8.2 kg, Age: 9 Months, Sex: Female
- Interpretation: This baby weighs more than 65% of 9-month-old females and less than 35%. This indicates healthy, consistent growth within the expected range. The parents can feel reassured that their baby is developing well.
Example 2: Monitoring Concerns
- Inputs:
- Baby's Current Weight: 5.5 kg
- Baby's Age: 7 months
- Baby's Sex: Male
- Calculation: The calculator compares 5.5 kg for a 7-month-old male against WHO standards.
- Outputs:
- Primary Result: 10th Percentile
- Weight Category: Underweight
- Intermediate Values: Weight: 5.5 kg, Age: 7 Months, Sex: Male
- Interpretation: This baby weighs more than 10% of 7-month-old males. While this is still within the medically acceptable range (above the 3rd percentile), it is on the lower end. This might prompt the parents to discuss feeding habits, potential underlying issues, or simply monitor closely with their pediatrician to ensure the growth trend remains stable or improves. A sudden drop in percentile would be a greater concern than a consistently low percentile.
How to Use This Baby Weight Percentage Calculator
Using the baby weight percentage calculator is straightforward:
- Enter Baby's Current Weight: Accurately measure your baby's weight using a reliable baby scale and enter the value in kilograms (kg).
- Enter Baby's Age: Input your baby's age in months. Ensure you are using months, not weeks or years, for accurate results.
- Select Baby's Sex: Choose 'Male' or 'Female' from the dropdown menu.
- View Results: The calculator will instantly display your baby's estimated growth percentile, weight category, and other relevant details.
- Interpret the Results: Understand that percentiles indicate relative growth. A consistent percentile is key. Consult your pediatrician if you have any concerns about your baby's growth pattern.
- Use the Table and Chart: The accompanying table and chart provide visual context, showing how your baby's weight compares to the standard growth curves.
- Reset or Copy: Use the 'Reset' button to clear the fields and start over, or 'Copy Results' to save the information.
Decision-Making Guidance: This calculator is an informational tool. It helps identify potential areas for discussion with your pediatrician. If your baby's percentile is consistently low or high, or if there's a sudden change in their growth trajectory, it's essential to seek professional medical advice to rule out any health issues and ensure optimal development.
Key Factors That Affect Baby Weight Results
While the baby weight percentage calculator provides a snapshot, several factors influence a baby's weight gain and percentile:
- Feeding Type and Amount: Breastfed babies may have different initial weight gain patterns compared to formula-fed babies. The quantity and frequency of feeds significantly impact weight.
- Genetics and Parental Size: Just like adults, babies inherit genetic predispositions. If parents are tall or have larger frames, their baby might naturally trend towards higher percentiles.
- Prematurity: Babies born prematurely often have different growth curves initially, requiring adjusted assessments. Catch-up growth is common but needs monitoring.
- Health Conditions: Underlying medical issues, such as digestive problems, allergies, metabolic disorders, or infections, can affect a baby's ability to gain weight appropriately.
- Activity Level: As babies become more mobile (crawling, walking), their energy expenditure increases, which can influence weight gain rates.
- Fluid Balance: Dehydration can temporarily lower weight, while fluid retention could artificially inflate it. This is why accurate, consistent measurements are crucial.
- Measurement Accuracy: Inconsistent or inaccurate weighing methods (e.g., weighing with clothes on vs. off, using a scale that needs calibration) can lead to misleading results.
- Illness: Short-term illnesses, like a stomach bug, can cause temporary weight loss or slowed gain, affecting the percentile temporarily.
Frequently Asked Questions (FAQ)
Q1: What is the ideal percentile for my baby's weight?
A: There isn't one "ideal" percentile. Consistency is more important than the specific number. A baby growing along a steady curve, whether it's the 25th or 75th percentile, is generally considered healthy. Focus on maintaining a consistent growth pattern within the normal range (3rd to 97th percentile).
Q2: My baby dropped from the 50th to the 20th percentile. Should I be worried?
A: A significant drop in percentile, especially if it's sustained, warrants a discussion with your pediatrician. It could indicate an issue with feeding, absorption, or an underlying health condition that needs investigation.
Q3: How often should I use the baby weight percentage calculator?
A: It's best to use this calculator around your baby's regular check-ups or when you have specific concerns. Frequent, unnecessary calculations might cause undue anxiety. Rely on your pediatrician's assessments for routine monitoring.
Q4: Does breast milk or formula affect the percentile?
A: Growth patterns can differ slightly. Breastfed babies sometimes gain weight more slowly after the initial few months compared to formula-fed babies, but both can be healthy. The calculator uses general standards that encompass both.
Q5: What if my baby's weight is above the 97th percentile?
A: A weight above the 97th percentile may indicate that the baby is overweight for their age. Your pediatrician will assess this, considering factors like feeding, activity, and overall health, to determine if any intervention is needed.
Q6: Can I use this calculator for premature babies?
A: While the calculator uses standard WHO charts, premature babies often have specific growth charts tailored for them, especially in the early months. It's best to use specialized calculators or consult your pediatrician for premature infant growth tracking.
Q7: What's the difference between weight percentile and BMI percentile?
A: For infants, weight percentile is the primary measure. BMI (Body Mass Index) percentile becomes more relevant for older children. The weight percentile directly compares weight against age and sex norms, which is crucial for tracking infant development.
Q8: How accurate are these online calculators?
A: Reputable calculators using WHO or similar standards are generally accurate for estimation. However, they are tools for guidance. The most accurate assessment comes from a healthcare professional who can consider the baby's full health context.
var growthData = {
male: [
{ age: 0, p3: 2.5, p15: 2.8, p50: 3.3, p85: 3.8, p97: 4.2 },
{ age: 1, p3: 3.6, p15: 4.0, p50: 4.6, p85: 5.1, p97: 5.7 },
{ age: 2, p3: 4.5, p15: 5.0, p50: 5.7, p85: 6.3, p97: 7.0 },
{ age: 3, p3: 5.3, p15: 5.8, p50: 6.5, p85: 7.2, p97: 8.0 },
{ age: 4, p3: 5.9, p15: 6.5, p50: 7.2, p85: 8.0, p97: 8.9 },
{ age: 5, p3: 6.4, p15: 7.0, p50: 7.8, p85: 8.7, p97: 9.6 },
{ age: 6, p3: 6.8, p15: 7.4, p50: 8.3, p85: 9.2, p97: 10.2 },
{ age: 7, p3: 7.1, p15: 7.7, p50: 8.7, p85: 9.7, p97: 10.8 },
{ age: 8, p3: 7.4, p15: 8.0, p50: 9.0, p85: 10.1, p97: 11.3 },
{ age: 9, p3: 7.6, p15: 8.3, p50: 9.3, p85: 10.4, p97: 11.7 },
{ age: 10, p3: 7.8, p15: 8.5, p50: 9.6, p85: 10.7, p97: 12.0 },
{ age: 11, p3: 8.0, p15: 8.7, p50: 9.8, p85: 11.0, p97: 12.3 },
{ age: 12, p3: 8.1, p15: 8.9, p50: 10.0, p85: 11.2, p97: 12.6 },
{ age: 18, p3: 9.1, p15: 9.9, p50: 11.2, p85: 12.5, p97: 13.9 },
{ age: 24, p3: 10.0, p15: 10.9, p50: 12.3, p85: 13.7, p97: 15.2 }
],
female: [
{ age: 0, p3: 2.3, p15: 2.6, p50: 3.1, p85: 3.5, p97: 4.0 },
{ age: 1, p3: 3.4, p15: 3.7, p50: 4.3, p85: 4.8, p97: 5.4 },
{ age: 2, p3: 4.2, p15: 4.7, p50: 5.3, p85: 5.9, p97: 6.6 },
{ age: 3, p3: 4.9, p15: 5.4, p50: 6.1, p85: 6.7, p97: 7.5 },
{ age: 4, p3: 5.5, p15: 6.0, p50: 6.7, p85: 7.4, p97: 8.3 },
{ age: 5, p3: 5.9, p15: 6.5, p50: 7.3, p85: 8.1, p97: 9.0 },
{ age: 6, p3: 6.3, p15: 6.9, p50: 7.7, p85: 8.6, p97: 9.6 },
{ age: 7, p3: 6.6, p15: 7.2, p50: 8.1, p85: 9.0, p97: 10.1 },
{ age: 8, p3: 6.8, p15: 7.4, p50: 8.4, p85: 9.3, p97: 10.4 },
{ age: 9, p3: 7.0, p15: 7.6, p50: 8.6, p85: 9.6, p97: 10.8 },
{ age: 10, p3: 7.2, p15: 7.8, p50: 8.8, p85: 9.8, p97: 11.0 },
{ age: 11, p3: 7.3, p15: 8.0, p50: 9.0, p85: 10.0, p97: 11.2 },
{ age: 12, p3: 7.4, p15: 8.1, p50: 9.1, p85: 10.2, p97: 11.4 },
{ age: 18, p3: 8.4, p15: 9.2, p50: 10.3, p85: 11.5, p97: 12.8 },
{ age: 24, p3: 9.3, p15: 10.2, p50: 11.4, p85: 12.7, p97: 14.1 }
]
};
var chartInstance = null;
function getGrowthDataForAge(age, sex) {
var dataSet = growthData[sex];
if (!dataSet) return null;
// Find the closest data point, prioritizing exact matches
var lowerBound = null;
var upperBound = null;
for (var i = 0; i < dataSet.length; i++) {
if (dataSet[i].age === age) {
return dataSet[i]; // Exact match found
}
if (dataSet[i].age age && upperBound === null) {
upperBound = dataSet[i];
}
}
if (lowerBound && upperBound) {
// Interpolate if age is between two points
var ageDiff = upperBound.age – lowerBound.age;
var weightDiffP3 = upperBound.p3 – lowerBound.p3;
var weightDiffP15 = upperBound.p15 – lowerBound.p15;
var weightDiffP50 = upperBound.p50 – lowerBound.p50;
var weightDiffP85 = upperBound.p85 – lowerBound.p85;
var weightDiffP97 = upperBound.p97 – lowerBound.p97;
var fraction = (age – lowerBound.age) / ageDiff;
return {
age: age,
p3: lowerBound.p3 + weightDiffP3 * fraction,
p15: lowerBound.p15 + weightDiffP15 * fraction,
p50: lowerBound.p50 + weightDiffP50 * fraction,
p85: lowerBound.p85 + weightDiffP85 * fraction,
p97: lowerBound.p97 + weightDiffP97 * fraction
};
} else if (lowerBound) {
return lowerBound; // Age is beyond the last data point
} else if (upperBound) {
return upperBound; // Age is before the first data point (unlikely for babies)
}
return null; // No data available for this age range
}
function getWeightCategory(percentile) {
if (percentile = 3 && percentile = 15 && percentile 85 && percentile 97) return "Overweight";
return "N/A";
}
function calculatePercentile(weight, age, sex) {
var dataPoint = getGrowthDataForAge(age, sex);
if (!dataPoint) return null;
var p3 = dataPoint.p3;
var p15 = dataPoint.p15;
var p50 = dataPoint.p50;
var p85 = dataPoint.p85;
var p97 = dataPoint.p97;
// Simple linear interpolation to find percentile
if (weight = p3 && weight = p15 && weight = p50 && weight = p85 && weight = p97) return 97 + (100 – 97) * ((weight – p97) / (p97 * 1.1 – p97)); // Extrapolate above 97th percentile
return null; // Should not happen if weight is valid
}
function updateResults() {
var babyWeight = parseFloat(document.getElementById("babyWeight").value);
var babyAgeMonths = parseInt(document.getElementById("babyAgeMonths").value);
var babySex = document.getElementById("babySex").value;
var weightError = document.getElementById("babyWeightError");
var ageError = document.getElementById("babyAgeMonthsError");
// Reset errors
weightError.classList.remove("visible");
ageError.classList.remove("visible");
weightError.textContent = "";
ageError.textContent = "";
var isValid = true;
if (isNaN(babyWeight) || babyWeight 25) { // Reasonable upper limit for 2 years
weightError.textContent = "Weight seems too high for a baby under 2 years.";
weightError.classList.add("visible");
isValid = false;
}
if (isNaN(babyAgeMonths) || babyAgeMonths 24) { // Typical range for WHO charts
ageError.textContent = "Age should be between 0 and 24 months for these charts.";
ageError.classList.add("visible");
isValid = false;
}
if (!isValid) {
document.getElementById("primaryResult").textContent = "–";
document.getElementById("displayPercentile").textContent = "–";
document.getElementById("displayCategory").textContent = "–";
document.getElementById("displayWeight").textContent = "–";
document.getElementById("displayAge").textContent = "–";
document.getElementById("displaySex").textContent = "–";
updateChart([], []);
return;
}
var percentile = calculatePercentile(babyWeight, babyAgeMonths, babySex);
var category = getWeightCategory(percentile);
document.getElementById("displayWeight").textContent = babyWeight.toFixed(2) + " kg";
document.getElementById("displayAge").textContent = babyAgeMonths + " months";
document.getElementById("displaySex").textContent = babySex.charAt(0).toUpperCase() + babySex.slice(1);
if (percentile !== null) {
document.getElementById("primaryResult").textContent = percentile.toFixed(1) + "th Percentile";
document.getElementById("displayPercentile").textContent = percentile.toFixed(1) + "th";
document.getElementById("displayCategory").textContent = category;
} else {
document.getElementById("primaryResult").textContent = "N/A";
document.getElementById("displayPercentile").textContent = "N/A";
document.getElementById("displayCategory").textContent = "N/A";
}
populateGrowthTable(babyAgeMonths, babySex);
updateChart(babyWeight, babyAgeMonths, babySex);
}
function populateGrowthTable(currentAge, currentSex) {
var tableBody = document.getElementById("growthTableBody");
tableBody.innerHTML = ""; // Clear previous rows
var dataSet = growthData[currentSex];
if (!dataSet) return;
dataSet.forEach(function(data) {
var row = tableBody.insertRow();
row.insertCell().textContent = data.age;
row.insertCell().textContent = currentSex.charAt(0).toUpperCase() + currentSex.slice(1);
row.insertCell().textContent = data.p3.toFixed(2);
row.insertCell().textContent = data.p15.toFixed(2);
row.insertCell().textContent = data.p50.toFixed(2);
row.insertCell().textContent = data.p85.toFixed(2);
row.insertCell().textContent = data.p97.toFixed(2);
// Highlight the row corresponding to the current age if available
if (data.age === currentAge) {
row.style.backgroundColor = "#e0f7fa"; // Light cyan highlight
}
});
}
function updateChart(currentWeight, currentAge, currentSex) {
var ctx = document.getElementById('growthChart').getContext('2d');
// Destroy previous chart instance if it exists
if (chartInstance) {
chartInstance.destroy();
}
var dataSet = growthData[currentSex];
if (!dataSet) return;
var ages = dataSet.map(function(d) { return d.age; });
var p3Weights = dataSet.map(function(d) { return d.p3; });
var p50Weights = dataSet.map(function(d) { return d.p50; });
var p97Weights = dataSet.map(function(d) { return d.p97; });
// Add current baby's data point
var babyDataPoint = { x: currentAge, y: currentWeight };
chartInstance = new Chart(ctx, {
type: 'line',
data: {
labels: ages,
datasets: [
{
label: '3rd Percentile',
data: p3Weights,
borderColor: 'rgba(255, 99, 132, 1)',
backgroundColor: 'rgba(255, 99, 132, 0.2)',
fill: false,
tension: 0.1
},
{
label: '50th Percentile (Median)',
data: p50Weights,
borderColor: 'rgba(54, 162, 235, 1)',
backgroundColor: 'rgba(54, 162, 235, 0.2)',
fill: false,
tension: 0.1
},
{
label: '97th Percentile',
data: p97Weights,
borderColor: 'rgba(75, 192, 192, 1)',
backgroundColor: 'rgba(75, 192, 192, 0.2)',
fill: false,
tension: 0.1
},
{
label: "Baby's Weight",
data: [babyDataPoint], // Plot the single point
borderColor: 'rgba(255, 206, 86, 1)',
backgroundColor: 'rgba(255, 206, 86, 1)',
pointRadius: 6,
pointHoverRadius: 8,
fill: false,
showLine: false // Don't draw a line for this single point
}
]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
title: {
display: true,
text: 'Age (Months)'
}
},
y: {
title: {
display: true,
text: 'Weight (kg)'
},
beginAtZero: true
}
},
plugins: {
tooltip: {
callbacks: {
label: function(context) {
var label = context.dataset.label || ";
if (label) {
label += ': ';
}
if (context.parsed.y !== undefined) {
label += context.parsed.y.toFixed(2) + ' kg';
}
// Add age info for the baby's point
if (context.dataset.label === "Baby's Weight" && context.parsed.x !== undefined) {
label += ' (Age: ' + context.parsed.x + ' months)';
}
return label;
}
}
}
}
}
});
}
function resetCalculator() {
document.getElementById("babyWeight").value = "";
document.getElementById("babyAgeMonths").value = "";
document.getElementById("babySex").value = "male";
updateResults(); // This will clear errors and results
document.getElementById("babyWeightError").classList.remove("visible");
document.getElementById("babyAgeMonthsError").classList.remove("visible");
}
function copyResults() {
var weight = document.getElementById("displayWeight").textContent;
var age = document.getElementById("displayAge").textContent;
var sex = document.getElementById("displaySex").textContent;
var percentile = document.getElementById("displayPercentile").textContent;
var category = document.getElementById("displayCategory").textContent;
var primaryResultText = document.getElementById("primaryResult").textContent;
var resultsText = "Baby Growth Analysis:\n";
resultsText += "——————–\n";
resultsText += "Current Weight: " + weight + "\n";
resultsText += "Age: " + age + "\n";
resultsText += "Sex: " + sex + "\n";
resultsText += "Growth Percentile: " + percentile + "\n";
resultsText += "Weight Category: " + category + "\n";
resultsText += "\nKey Assumption: Based on WHO Growth Standards.";
// Use a temporary textarea to copy text
var textArea = document.createElement("textarea");
textArea.value = resultsText;
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 successfully!' : 'Failed to copy results.';
// Optionally show a temporary message to the user
alert(msg);
} catch (err) {
alert('Oops, unable to copy');
}
document.body.removeChild(textArea);
}
// Initial calculation and table population on load
document.addEventListener('DOMContentLoaded', function() {
// Set default values or leave blank for user input
// document.getElementById("babyWeight").value = "7.5";
// document.getElementById("babyAgeMonths").value = "9";
// document.getElementById("babySex").value = "male";
updateResults(); // Update results based on initial values or empty fields
populateGrowthTable(parseInt(document.getElementById("babyAgeMonths").value) || 0, document.getElementById("babySex").value);
updateChart(parseFloat(document.getElementById("babyWeight").value) || 0, parseInt(document.getElementById("babyAgeMonths").value) || 0, document.getElementById("babySex").value);
// Add event listeners for real-time updates
document.getElementById("babyWeight").addEventListener("input", updateResults);
document.getElementById("babyAgeMonths").addEventListener("input", updateResults);
document.getElementById("babySex").addEventListener("change", updateResults);
});
// Chart.js library needs to be included for the chart to work.
// In a real WordPress environment, you'd enqueue this script properly.
// For this single HTML file, assume Chart.js is available or include it via CDN.
// Example CDN:
// Since we cannot include external scripts per instructions, this will rely on Chart.js being present.
// For demonstration purposes, I'll add a placeholder comment.
/*
IMPORTANT: For the chart to render, you MUST include the Chart.js library.
Add this line within the section or before the closing tag:
*/