Baby Center Weight Percentile Calculator | Calculate Your Baby's Growth
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Weight Percentile Calculator
Your Baby's Growth Results
–.–%
Percentile is determined by comparing the baby's weight at a specific age and sex to a reference population. This calculator uses simplified interpolation between standard WHO (World Health Organization) growth chart data points for ages 0-24 months.
Weight Percentile Chart (Male)
Visualizing weight percentiles for males up to 24 months.
Weight Percentile Chart (Female)
Visualizing weight percentiles for females up to 24 months.
WHO Weight-for-Age Data (Example – Male)
Approximate Weight (kg) for Percentiles by Age (Months) – Male
| Age (Months) |
3rd % |
15th % |
50th % (Median) |
85th % |
97th % |
| 0 | 2.5 | 3.0 | 3.5 | 4.0 | 4.5 |
| 1 | 3.4 | 4.0 | 4.7 | 5.4 | 6.1 |
| 2 | 4.2 | 5.0 | 5.9 | 6.8 | 7.7 |
| 3 | 4.9 | 5.8 | 6.8 | 7.8 | 8.9 |
| 4 | 5.5 | 6.5 | 7.6 | 8.7 | 9.9 |
| 5 | 6.0 | 7.1 | 8.3 | 9.5 | 10.8 |
| 6 | 6.5 | 7.6 | 8.9 | 10.2 | 11.6 |
| 7 | 6.9 | 8.1 | 9.5 | 10.9 | 12.3 |
| 8 | 7.3 | 8.5 | 10.0 | 11.5 | 13.0 |
| 9 | 7.6 | 8.9 | 10.5 | 12.0 | 13.6 |
| 10 | 7.9 | 9.2 | 10.9 | 12.5 | 14.1 |
| 11 | 8.1 | 9.5 | 11.3 | 12.9 | 14.6 |
| 12 | 8.3 | 9.7 | 11.6 | 13.2 | 15.0 |
| 18 | 9.0 | 10.5 | 12.5 | 14.2 | 16.0 |
| 24 | 9.7 | 11.2 | 13.4 | 15.2 | 17.1 |
Sample data for males from WHO growth charts. Female data will differ slightly.
What is a Baby Center Weight Percentile Calculator?
The baby center weight percentile calculator is a tool designed to help parents and caregivers understand how a baby's weight compares to other infants of the same age and sex. It utilizes established growth charts, such as those provided by the World Health Organization (WHO) or other reputable pediatric health organizations, to place the baby's weight on a spectrum. A percentile is not a measure of absolute health but rather a relative ranking within a specific population group. 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%. Understanding this baby center weight percentile calculator can provide valuable insights into a baby's growth trajectory.
Who Should Use It?
This baby center weight percentile calculator is primarily used by:
- Parents and Guardians: To monitor their baby's growth and development between pediatrician visits.
- Pediatricians and Healthcare Providers: As a standard tool for assessing a child's nutritional status and growth patterns.
- Expectant Parents: To familiarize themselves with growth expectations.
Common Misconceptions
- Higher Percentile = Healthier Baby: This is a significant misconception. Both very high and very low percentiles can be normal, depending on the baby's overall health, genetics, and feeding patterns. The key is consistent growth along a percentile curve.
- Percentiles are Static: A baby's percentile can change, especially in the first year. Occasional fluctuations are normal, but consistent, drastic jumps or drops may warrant a discussion with a healthcare provider.
- All Percentile Calculators are the Same: While many calculators use similar data (like WHO charts), variations in interpolation methods or the specific data sets used can lead to minor differences.
Baby Center Weight Percentile Calculator Formula and Mathematical Explanation
The core concept behind a baby center weight percentile calculator involves comparing a baby's measured weight to established reference data for a specific age and sex. Since exact measurements for every possible age and weight are not available, mathematical interpolation is often used. Here's a simplified explanation of the process:
Step-by-Step Derivation
- Data Points: Obtain reference data (e.g., from WHO growth charts) that lists specific weights corresponding to various percentiles (e.g., 3rd, 15th, 50th, 85th, 97th) for discrete age intervals (e.g., monthly).
- Identify Surrounding Data: For a given baby's age and sex, find the two closest age points in the reference data.
- Interpolate Weight for Target Percentile: If the baby's exact age falls between two data points, linearly interpolate to estimate the expected weight for that specific age at the target percentile (e.g., the 50th percentile/median).
- Calculate Percentile Rank: Once the baby's actual weight is known, and the expected weight for their age and sex at various percentiles is estimated, the baby's percentile rank is calculated. A common method is to use the cumulative distribution function (CDF) of a statistical model that approximates the growth curves, or a simpler linear interpolation between known percentile weights. For this calculator, we use a simplified interpolation based on the closest reference points.
Variable Explanations
- Baby's Age: The age of the infant, typically measured in months.
- Baby's Weight: The measured weight of the infant, usually in kilograms.
- Baby's Sex: Differentiates between male and female growth charts, as there are physiological differences.
- Reference Data: Standardized growth charts (e.g., WHO) providing weight ranges for different percentiles at various ages for both sexes.
Variables Table
Variables Used in Percentile Calculation
| Variable |
Meaning |
Unit |
Typical Range |
| Baby's Age |
Age of the infant since birth |
Months (decimal allowed) |
0 – 24 months |
| Baby's Weight |
Measured weight of the infant |
Kilograms (kg) |
0.5 – 20 kg (approx.) |
| Baby's Sex |
Biological sex for chart selection |
Categorical (Male/Female) |
Male / Female |
| Reference Percentile Weights |
Pre-defined weight values from growth charts |
Kilograms (kg) |
Varies by age and percentile |
Practical Examples (Real-World Use Cases)
Let's explore how the baby center weight percentile calculator works with practical scenarios.
Example 1: Monitoring Steady Growth
Scenario: Sarah is checking her son, Leo's, growth at 8 months old. Leo weighs 9.5 kg and is male.
Inputs:
- Age: 8 months
- Weight: 9.5 kg
- Sex: Male
Calculation: The calculator refers to the WHO male growth chart for 8 months. The median weight (50th percentile) for an 8-month-old male is approximately 9.2 kg, and the 85th percentile is around 10.5 kg. Since Leo's weight of 9.5 kg falls between these values, the calculator determines his percentile rank.
Outputs:
- Primary Result: ~63rd Percentile
- Nearest Age on Chart: 8 months
- Sex: Male
- Age: 8 months
- Weight: 9.5 kg
Interpretation: Leo is in the 63rd percentile for weight. This indicates he is growing well and is heavier than 63% of males his age. His weight is consistently following a healthy growth curve, which is a positive sign.
Example 2: Catching Up Growth
Scenario: David and Maria are concerned about their daughter, Emily, who was born slightly premature. At 4 months old, she weighs 5.2 kg and is female.
Inputs:
- Age: 4 months
- Weight: 5.2 kg
- Sex: Female
Calculation: The calculator uses the WHO female growth chart. For a 4-month-old female, the 3rd percentile weight is around 4.7 kg, and the 15th percentile is approximately 5.8 kg. Emily's weight of 5.2 kg falls within this lower range.
Outputs:
- Primary Result: ~18th Percentile
- Nearest Age on Chart: 4 months
- Sex: Female
- Age: 4 months
- Weight: 5.2 kg
Interpretation: Emily is in the 18th percentile. While this is on the lower side, it shows she has moved up from potentially lower percentiles at birth and is gaining weight steadily according to the chart. Her pediatrician confirms this steady gain is a good indicator of adequate feeding and development, especially considering her premature start.
How to Use This Baby Center Weight Percentile Calculator
Using our baby center weight percentile calculator is straightforward. Follow these simple steps to get accurate growth insights:
Step-by-Step Instructions
- Enter Baby's Age: Input the baby's precise age in months. You can use decimals for partial months (e.g., 6.5 for six and a half months).
- Enter Baby's Weight: Accurately measure and input your baby's current weight in kilograms (kg). Ensure your scale is calibrated correctly.
- Select Baby's Sex: Choose 'Male' or 'Female' from the dropdown menu. Growth charts differ slightly between sexes.
- Click 'Calculate Percentile': Once all fields are filled, click the button to see the results.
How to Read Results
- Primary Result (Percentile): This is the main output, showing where your baby's weight ranks compared to 100 babies of the same age and sex. A higher number means the baby weighs more relative to peers.
- Intermediate Values: These confirm the inputs used (sex, age, weight) and show the closest age point used from the reference chart for calculation.
- Chart Visualization: The generated charts visually represent the percentile curves and where your baby's data point falls.
Decision-Making Guidance
Important Note: This calculator is an informational tool and should *not* replace professional medical advice. Always consult your pediatrician regarding your baby's growth and health. Consistent growth along a curve, regardless of the specific percentile, is generally more important than the absolute percentile number. If you notice sudden, significant drops or jumps in percentiles, or if your baby seems unwell, seek medical attention promptly.
Key Factors That Affect Baby Weight Percentiles
Several factors influence where a baby falls on the weight percentile charts. Understanding these can provide context to the results from a baby center weight percentile calculator:
- Genetics: Just like adults, babies inherit traits that influence their build and growth potential. Some babies are naturally predisposed to be larger or smaller.
- Gestational Age at Birth: Premature babies often start on lower percentiles and may take time to "catch up" to their adjusted age on growth charts. Full-term babies typically start closer to the average range.
- Feeding Method and Intake: Whether a baby is breastfed or formula-fed, and the amount consumed, significantly impacts weight gain. Adequate caloric intake is crucial for growth.
- Infant's Health and Activity Level: Underlying health conditions, even minor ones like a cold, can temporarily affect appetite and weight gain. Highly active babies might also show slightly different growth patterns.
- Maternal Health During Pregnancy: Factors like maternal nutrition, gestational diabetes, or smoking during pregnancy can influence fetal growth and birth weight, impacting early percentile rankings.
- Metabolism and Digestion: Individual differences in how efficiently a baby digests and absorbs nutrients affect their weight gain rate.
- Accuracy of Measurements: Inconsistent or inaccurate weight and age measurements can lead to misleading percentile calculations. Ensure scales are accurate and age is correctly calculated (e.g., accounting for prematurity).
Frequently Asked Questions (FAQ)
-
Q1: What is the most important percentile for my baby?
A1: There isn't one single "most important" percentile. The most crucial factor is consistent growth. A baby growing steadily along their own curve, whether it's the 20th or 80th percentile, is generally a sign of healthy development. Rapid, significant jumps or drops in percentile may need attention.
-
Q2: My baby dropped from the 70th to the 40th percentile. Should I worry?
A2: A drop in percentile can be concerning, but it depends on the context. If the baby is otherwise healthy, gaining weight consistently, meeting developmental milestones, and eating well, it might just be their natural growth curve settling. However, any significant percentile drop warrants a discussion with your pediatrician to rule out any underlying issues.
-
Q3: Does breastfeeding affect weight percentile?
A3: Breastfeeding can influence weight gain patterns. Some breastfed babies gain weight more slowly initially than formula-fed babies but often catch up. The key is ensuring adequate milk intake and monitoring weight gain trends with your healthcare provider.
-
Q4: How often should I use a baby weight percentile calculator?
A4: It's best to use this calculator intermittently, perhaps when you have your baby's weight measured at a check-up, or if you have specific concerns. Frequent, obsessive checking is generally not recommended. Rely on your pediatrician's assessments for routine monitoring.
-
Q5: Can this calculator predict my baby's future weight?
A5: No. This calculator provides a snapshot of your baby's current weight relative to peers. It cannot predict future growth, as many factors can influence a baby's weight trajectory over time.
-
Q6: What age range does the Baby Center weight percentile calculator cover?
A6: This calculator is designed for infants typically up to 24 months of age, aligning with the standard WHO growth charts for this period. Growth patterns after 24 months are often assessed using different charts.
-
Q7: Is it normal for my baby to be in a different percentile for weight than for height?
A7: Yes, it's very common and usually normal for babies to be in different percentiles for weight and height. For example, a baby might be in the 80th percentile for weight but the 50th for height. This indicates they are relatively heavier for their length, which is often perfectly healthy, but consistent tracking is key.
-
Q8: How accurate are the WHO growth charts used by this calculator?
A8: The WHO growth charts are based on extensive international studies and are considered the global standard for assessing infant growth up to age five. While this calculator uses simplified interpolation, it aims to provide a close approximation to the official chart data.
Related Tools and Internal Resources
var maleData = {
ages: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24],
percentiles: {
'3': [2.5, 3.4, 4.2, 4.9, 5.5, 6.0, 6.5, 6.9, 7.3, 7.6, 7.9, 8.1, 8.3, 9.0, 9.7],
'15': [3.0, 4.0, 5.0, 5.8, 6.5, 7.1, 7.6, 8.1, 8.5, 8.9, 9.2, 9.5, 9.7, 10.5, 11.2],
'50': [3.5, 4.7, 5.9, 6.8, 7.6, 8.3, 8.9, 9.5, 10.0, 10.5, 10.9, 11.3, 11.6, 12.5, 13.4],
'85': [4.0, 5.4, 6.8, 7.8, 8.7, 9.5, 10.2, 10.9, 11.5, 12.0, 12.5, 12.9, 13.2, 14.2, 15.2],
'97': [4.5, 6.1, 7.7, 8.9, 9.9, 10.8, 11.6, 12.3, 13.0, 13.6, 14.1, 14.6, 15.0, 16.0, 17.1]
}
};
var femaleData = {
ages: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24],
percentiles: {
'3': [2.3, 3.2, 3.9, 4.6, 5.1, 5.6, 6.0, 6.4, 6.8, 7.1, 7.4, 7.6, 7.8, 8.4, 9.1],
'15': [2.8, 3.7, 4.6, 5.3, 5.9, 6.4, 6.8, 7.2, 7.6, 7.9, 8.2, 8.4, 8.6, 9.3, 10.0],
'50': [3.2, 4.3, 5.3, 6.1, 6.8, 7.4, 7.9, 8.3, 8.8, 9.2, 9.6, 9.9, 10.1, 11.0, 11.8],
'85': [3.7, 4.9, 6.0, 6.9, 7.6, 8.2, 8.8, 9.3, 9.8, 10.2, 10.6, 10.9, 11.1, 12.0, 12.9],
'97': [4.2, 5.6, 6.9, 7.9, 8.7, 9.4, 10.1, 10.7, 11.2, 11.7, 12.1, 12.4, 12.7, 13.6, 14.5]
}
};
function findNearestValue(arr, val) {
var lower = arr[0], upper = arr[arr.length – 1];
for (var i = 0; i < arr.length; i++) {
if (arr[i] === val) return val;
if (arr[i] val) {
upper = arr[i];
break;
}
}
return { lower: lower, upper: upper };
}
function interpolate(x, x0, y0, x1, y1) {
if (x0 === x1) return y0; // Avoid division by zero
return y0 + (x – x0) * (y1 – y0) / (x1 – x0);
}
function getPercentile(age, weight, sex) {
var data = (sex === 'male') ? maleData : femaleData;
var ages = data.ages;
var percentiles = data.percentiles;
// Find the two closest age points
var lowerAge = null, upperAge = null;
for (var i = 0; i < ages.length – 1; i++) {
if (ages[i] = age) {
lowerAge = ages[i];
upperAge = ages[i+1];
break;
}
}
if (lowerAge === null) { // Handle cases outside the chart range
if (age ages[ages.length – 1]) return { percentile: 100, nearestAge: ages[ages.length – 1] };
}
var lowerAgeIndex = ages.indexOf(lowerAge);
var upperAgeIndex = ages.indexOf(upperAge);
// Interpolate weight for the given age at each percentile
var interpolatedWeights = {};
for (var p in percentiles) {
var lowerWeight = percentiles[p][lowerAgeIndex];
var upperWeight = percentiles[p][upperAgeIndex];
interpolatedWeights[p] = interpolate(age, lowerAge, lowerWeight, upperAge, upperWeight);
}
// Now determine the percentile rank for the given weight
var p3 = interpolatedWeights['3′];
var p15 = interpolatedWeights['15'];
var p50 = interpolatedWeights['50'];
var p85 = interpolatedWeights['85'];
var p97 = interpolatedWeights['97'];
if (weight < p3) return { percentile: Math.max(0, (weight / p3) * 3), nearestAge: lowerAge };
if (weight < p15) return { percentile: 3 + ((weight – p3) / (p15 – p3)) * 12, nearestAge: lowerAge };
if (weight < p50) return { percentile: 15 + ((weight – p15) / (p50 – p15)) * 35, nearestAge: lowerAge };
if (weight < p85) return { percentile: 50 + ((weight – p50) / (p85 – p50)) * 35, nearestAge: lowerAge };
if (weight < p97) return { percentile: 85 + ((weight – p85) / (p97 – p85)) * 12, nearestAge: lowerAge };
return { percentile: 97 + ((weight – p97) / (p97 * 1.1 – p97)) * 3, nearestAge: lowerAge }; // Extrapolate slightly beyond 97th
}
function formatNumber(num, decimals) {
return num.toFixed(decimals);
}
function validateInput(id, min, max, message) {
var input = document.getElementById(id);
var errorSpan = document.getElementById(id + 'Error');
var value = parseFloat(input.value);
var isValid = true;
errorSpan.innerText = '';
errorSpan.classList.remove('visible');
input.style.borderColor = '#ddd';
if (input.value === '') {
errorSpan.innerText = 'This field cannot be empty.';
isValid = false;
} else if (isNaN(value)) {
errorSpan.innerText = 'Please enter a valid number.';
isValid = false;
} else if (value max) {
errorSpan.innerText = message || `Value cannot exceed ${max}.`;
isValid = false;
}
if (!isValid) {
input.style.borderColor = '#dc3545';
}
return isValid;
}
function calculatePercentile() {
var ageMonths = parseFloat(document.getElementById('babyAgeMonths').value);
var weightKg = parseFloat(document.getElementById('babyWeightKg').value);
var sex = document.getElementById('babySex').value;
var resultsSection = document.getElementById('resultsSection');
var allValid = true;
allValid = validateInput('babyAgeMonths', 0, 24, 'Age must be between 0 and 24 months.') && allValid;
allValid = validateInput('babyWeightKg', 0, null, 'Weight cannot be negative.') && allValid;
if (!allValid) {
resultsSection.style.display = 'none';
return;
}
var result = getPercentile(ageMonths, weightKg, sex);
var percentile = result.percentile;
var nearestAge = result.nearestAge;
document.getElementById('primary-result').innerText = formatNumber(percentile, 1) + '%';
document.getElementById('sexDisplay').innerText = 'Sex: ' + (sex === 'male' ? 'Male' : 'Female');
document.getElementById('ageDisplay').innerText = 'Age: ' + formatNumber(ageMonths, 1) + ' months';
document.getElementById('weightDisplay').innerText = 'Weight: ' + formatNumber(weightKg, 2) + ' kg';
document.getElementById('nearestAgeDisplay').innerText = 'Nearest Age on Chart: ' + formatNumber(nearestAge, 0) + ' months';
resultsSection.style.display = 'block';
updateCharts(sex === 'male'); // Update the relevant chart
}
function resetCalculator() {
document.getElementById('babyAgeMonths').value = '6';
document.getElementById('babyWeightKg').value = '7.5';
document.getElementById('babySex').value = 'male';
document.getElementById('babyAgeMonthsError').innerText = ";
document.getElementById('babyWeightKgError').innerText = ";
document.getElementById('babyAgeMonthsError').classList.remove('visible');
document.getElementById('babyWeightKgError').classList.remove('visible');
document.getElementById('babyAgeMonths').style.borderColor = '#ddd';
document.getElementById('babyWeightKg').style.borderColor = '#ddd';
document.getElementById('resultsSection').style.display = 'none';
// Optionally reset charts to default or clear them
}
function copyResults() {
var primaryResult = document.getElementById('primary-result').innerText;
var sex = document.getElementById('sexDisplay').innerText;
var age = document.getElementById('ageDisplay').innerText;
var weight = document.getElementById('weightDisplay').innerText;
var nearestAge = document.getElementById('nearestAgeDisplay').innerText;
var assumptions = "Key Assumptions:\n- Standard WHO Growth Charts\n- Age Interpolation Method Used";
var textToCopy = "Baby Weight Percentile Results:\n" +
primaryResult + "\n" +
sex + "\n" +
age + "\n" +
weight + "\n" +
nearestAge + "\n\n" +
assumptions;
// Use navigator.clipboard for modern browsers, fallback for older ones
if (navigator.clipboard && navigator.clipboard.writeText) {
navigator.clipboard.writeText(textToCopy).then(function() {
alert('Results copied to clipboard!');
}).catch(function(err) {
console.error('Failed to copy: ', err);
fallbackCopyTextToClipboard(textToCopy);
});
} else {
fallbackCopyTextToClipboard(textToCopy);
}
}
function fallbackCopyTextToClipboard(text) {
var textArea = document.createElement("textarea");
textArea.value = text;
textArea.style.position="fixed";
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('Fallback: Copying text command was ' + msg);
alert('Results copied to clipboard!');
} catch (err) {
console.error('Fallback: Oops, unable to copy', err);
alert('Failed to copy results. Please copy manually.');
}
document.body.removeChild(textArea);
}
// Charting Logic
var chartInstanceMale = null;
var chartInstanceFemale = null;
function createChart(canvasId, data, isMale) {
var ctx = document.getElementById(canvasId).getContext('2d');
var chartData = {
labels: data.ages.map(function(age) { return age + 'm'; }),
datasets: [
{
label: '3rd Percentile',
data: data.percentiles['3'],
borderColor: '#ffc107', // Yellow
backgroundColor: 'rgba(255, 193, 7, 0.2)',
fill: false,
tension: 0.1
},
{
label: '15th Percentile',
data: data.percentiles['15'],
borderColor: '#28a745', // Green
backgroundColor: 'rgba(40, 167, 69, 0.2)',
fill: false,
tension: 0.1
},
{
label: '50th Percentile (Median)',
data: data.percentiles['50'],
borderColor: 'var(–primary-color)', // Blue
backgroundColor: 'rgba(0, 74, 153, 0.2)',
fill: false,
tension: 0.1
},
{
label: '85th Percentile',
data: data.percentiles['85'],
borderColor: '#17a2b8', // Teal
backgroundColor: 'rgba(23, 162, 184, 0.2)',
fill: false,
tension: 0.1
},
{
label: '97th Percentile',
data: data.percentiles['97'],
borderColor: '#dc3545', // Red
backgroundColor: 'rgba(220, 53, 69, 0.2)',
fill: false,
tension: 0.1
}
]
};
var options = {
responsive: true,
maintainAspectRatio: true,
scales: {
x: {
title: {
display: true,
text: 'Age (Months)'
}
},
y: {
title: {
display: true,
text: 'Weight (kg)'
},
beginAtZero: false
}
},
plugins: {
legend: {
position: 'top',
},
title: {
display: true,
text: (isMale ? 'WHO Weight-for-Age Chart – Male (0-24 Months)' : 'WHO Weight-for-Age Chart – Female (0-24 Months)')
}
}
};
return new Chart(ctx, {
type: 'line',
data: chartData,
options: options
});
}
function updateCharts(isMaleSelected) {
if (!chartInstanceMale) {
chartInstanceMale = createChart('weightPercentileChart', maleData, true);
}
if (!chartInstanceFemale) {
chartInstanceFemale = createChart('weightPercentileChartFemale', femaleData, false);
}
// Highlight the selected gender's chart or bring it to front conceptually
if (isMaleSelected) {
document.getElementById('weightPercentileChart').style.border = '2px solid var(–primary-color)';
document.getElementById('weightPercentileChartFemale').style.border = '1px solid var(–border-color)';
} else {
document.getElementById('weightPercentileChartFemale').style.border = '2px solid var(–primary-color)';
document.getElementById('weightPercentileChart').style.border = '1px solid var(–border-color)';
}
}
// Initial chart creation on load
document.addEventListener('DOMContentLoaded', function() {
updateCharts(document.getElementById('babySex').value === 'male');
// Set default values and hide results initially
resetCalculator();
});
// Override default submit behavior for the form if it were a form
// In this case, we use buttons with onclick events, so this is not strictly needed
// but good practice if inputs were inside a tag.
var calculatorForm = document.getElementById('calculatorForm');
if (calculatorForm) {
calculatorForm.addEventListener('submit', function(event) {
event.preventDefault(); // Prevent default form submission
calculatePercentile();
});
}