Baby Weight Percentile UK Calculator – Understand Your Baby's Growth
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Baby Weight Percentile UK Calculator
Calculate Your Baby's Weight Percentile
Your Baby's Growth Results
–%
This calculator estimates your baby's weight percentile based on UK growth charts, comparing their weight and age to a reference population of babies of the same sex and age.
Baby Weight Percentile Comparison
UK Baby Weight Percentiles (Approximate for — months)
| Percentile |
Weight (kg) |
| 3rd | — |
| 15th | — |
| 50th (Median) | — |
| 85th | — |
| 97th | — |
What is a Baby Weight Percentile UK Calculator?
A Baby Weight Percentile UK Calculator is a tool designed to help parents, caregivers, and healthcare professionals understand how a baby's weight compares to other babies of the same age and sex within the United Kingdom. It doesn't measure absolute health but rather relative growth. The results are presented as a percentile, which indicates the percentage of babies that fall below a specific weight for their age and sex.
For instance, if a baby is at the 75th percentile for weight, it means they weigh more than 75% of babies of the same age and sex, and less than 25%. This is a crucial metric because babies grow at different rates, and understanding where a baby falls on the growth curve can help identify potential concerns or simply reassure parents that their baby is growing as expected.
Who Should Use It?
- Parents and Guardians: To monitor their baby's growth and gain insights into their development.
- Health Visitors and Midwives: As a quick reference tool during check-ups.
- Paediatricians: To track growth patterns over time and make informed clinical decisions.
Common Misconceptions
- Percentiles are not targets: A baby doesn't need to reach a specific percentile. Consistency in their own growth curve is often more important than hitting a particular number.
- A single percentile reading is not definitive: Growth is a journey. A snapshot in time is less informative than tracking the trend over several measurements.
- Percentiles don't account for prematurity directly: While calculators use chronological age, healthcare professionals often use corrected age for premature babies.
- Percentiles are not about "fat" or "thin": They are about relative size within a population. A baby can be healthy at a high or low percentile if their growth is consistent.
Baby Weight Percentile UK Calculator Formula and Mathematical Explanation
The calculation of baby weight percentiles relies on established growth charts, typically derived from large datasets collected by health organisations. In the UK, these charts are often based on data from the World Health Organization (WHO) and national health bodies. The calculator uses these pre-defined charts to find the percentile rank for a given weight, age, and sex.
The core idea is to find where the baby's specific weight (W) for their age (A) and sex (S) falls within the distribution of weights for that same age and sex group. This is typically done by interpolating values from the growth chart data.
Step-by-Step Derivation (Conceptual)
- Data Lookup: The calculator accesses a database or set of formulas representing the UK growth charts for boys and girls.
- Age and Sex Matching: It identifies the relevant data points for the baby's specific age (in months) and sex.
- Weight Comparison: The baby's actual weight is compared against the weights listed on the chart for that specific age and sex.
- Interpolation: If the baby's weight falls between two known percentile lines on the chart, interpolation is used to estimate the precise percentile. For example, if a baby's weight is exactly halfway between the 50th and 85th percentile weights for their age, their percentile would be estimated around the 67.5th percentile.
- Output: The calculated percentile is then displayed.
Variables Explained
While the calculator simplifies the process, the underlying data involves several key variables:
Variables Used in Percentile Calculation
| Variable |
Meaning |
Unit |
Typical Range (for infants) |
| Age (A) |
The baby's chronological age. |
Months |
0 – 24 months (common range for charts) |
| Weight (W) |
The baby's measured weight. |
Kilograms (kg) |
0.5 kg – 15 kg (approx.) |
| Sex (S) |
Biological sex of the baby (Male/Female). |
Categorical |
Male or Female |
| Percentile Rank (P) |
The percentage of babies with the same age and sex who weigh less than the baby. |
% |
0 – 100% |
| Median Weight (50th Percentile) |
The weight at which 50% of babies of the same age and sex are lighter and 50% are heavier. |
Kilograms (kg) |
Varies significantly by age |
| Other Percentiles (e.g., 3rd, 15th, 85th, 97th) |
Reference points on the growth curve. |
Kilograms (kg) |
Varies significantly by age |
The calculator essentially performs an inverse lookup: given W, A, and S, it finds P. It also uses the chart data to provide context, showing the weights corresponding to key percentiles (like the 50th) for the given age and sex.
Practical Examples (Real-World Use Cases)
Understanding baby weight percentiles is most useful when applied to real situations. Here are a couple of examples:
Example 1: Monitoring a Healthy Term Baby
Scenario: Sarah and Tom's baby boy, Leo, is 8 months old and weighs 9.2 kg. They are attending a routine check-up and want to understand his growth.
Inputs:
- Baby's Age: 8 months
- Baby's Weight: 9.2 kg
- Baby's Sex: Male
Calculator Output:
- Primary Result: 65th Percentile
- Weight for Age: 9.2 kg
- Age: 8 months
- Growth Chart Reference: Above Median
Interpretation: Leo is weighing more than 65% of 8-month-old boys in the UK. This places him above the median (50th percentile) but well within the typical range (between the 3rd and 97th percentiles). His parents are reassured that he is growing robustly and consistently.
Example 2: Tracking a Baby with Lower Birth Weight
Scenario: Maya's baby girl, Chloe, was born slightly smaller than average. At 5 months old, Chloe weighs 6.1 kg. Maya is keen to see if Chloe is catching up.
Inputs:
- Baby's Age: 5 months
- Baby's Weight: 6.1 kg
- Baby's Sex: Female
Calculator Output:
- Primary Result: 22nd Percentile
- Weight for Age: 6.1 kg
- Age: 5 months
- Growth Chart Reference: Below Median
Interpretation: Chloe is at the 22nd percentile for weight. This means she weighs more than 22% of 5-month-old girls in the UK. While this is below the median, it's still within the healthy range. Maya's health visitor notes that Chloe has been consistently following her own growth curve, which is the most important factor. They will continue to monitor her progress.
How to Use This Baby Weight Percentile UK Calculator
Using this calculator is straightforward and designed for ease of use. Follow these simple steps:
- Enter Baby's Age: Input the baby's age in completed months into the "Baby's Age (Months)" field. For example, if your baby is 7 months and 2 weeks old, enter '7'.
- Enter Baby's Weight: Input the baby's most recent weight measurement in kilograms (kg) into the "Baby's Weight (kg)" field. Ensure you are using kilograms, not pounds.
- Select Baby's Sex: Choose either "Male" or "Female" from the dropdown menu. This is important as growth charts differ between sexes.
- Calculate: Click the "Calculate Percentile" button.
How to Read the Results
- Primary Result (Percentile): This is the main output, shown prominently. It tells you the percentage of babies of the same age and sex that your baby weighs less than. A result of '50th Percentile' means your baby is right in the middle.
- Weight for Age: This simply confirms the weight you entered, displayed in kg.
- Age: Confirms the age you entered in months.
- Growth Chart Reference: Provides a quick interpretation (e.g., "Above Median", "Below Median", "On Median").
- Table: The table shows the actual weights (in kg) that correspond to key percentiles (3rd, 15th, 50th, 85th, 97th) for the specified age and sex. This helps you see where your baby's weight sits relative to these benchmarks.
- Chart: The chart visually represents your baby's position on the growth curve, comparing their weight against the median (50th percentile) and perhaps another reference point like the 3rd or 97th percentile.
Decision-Making Guidance
Remember, this calculator is a guide, not a diagnostic tool. Always discuss your baby's growth with a healthcare professional. However, the results can help you:
- Identify Trends: If you use the calculator regularly, you can track if your baby is consistently growing along their percentile line or if there's a significant jump or drop.
- Prepare for Appointments: Having the percentile information ready can facilitate discussions with your health visitor or doctor.
- Gain Peace of Mind: Understanding that your baby's growth is within the normal range can be very reassuring.
If your baby's percentile is very low (e.g., below the 3rd) or very high (e.g., above the 97th), or if there's a sudden change in their growth trajectory, it's essential to consult with a healthcare provider. They will consider other factors like length, head circumference, feeding, and overall health.
Key Factors That Affect Baby Weight Percentile Results
While the calculator uses age, weight, and sex, several underlying factors influence these measurements and thus the resulting percentile. Understanding these can provide a more holistic view of your baby's growth:
- Genetics and Parental Size: Just as adults have different body types, babies inherit genetic predispositions. Parents who are taller or larger may naturally have babies who track higher on the growth charts, while smaller parents might have babies who track lower. This is normal and expected.
- Birth Weight and Gestational Age: A baby born prematurely or with a low birth weight might start on a lower percentile curve. The key is often whether they are "catching up" appropriately or consistently following their initial curve. Health professionals often use "corrected age" for premature babies, which this calculator doesn't automatically adjust for.
- Feeding Method and Intake: Whether a baby is breastfed or formula-fed, and the quantity and frequency of feeds, directly impacts weight gain. Issues with latching, milk supply, or a baby's appetite can affect weight gain patterns.
- Infant Health and Illness: Babies who are unwell, whether from a common cold, digestive issues (like reflux or colic), or more serious conditions, may experience slower weight gain or even weight loss, temporarily affecting their percentile.
- Activity Level and Metabolism: As babies become more mobile (rolling, crawling), they burn more calories. Individual metabolic rates also vary. A highly active baby might gain weight slightly slower than a less active one, even with similar intake.
- Fluid Retention and Hydration: While less common as a primary driver of percentile changes in healthy infants, factors affecting hydration or fluid balance could theoretically influence weight readings. However, significant deviations usually point to underlying health issues.
- Accuracy of Measurements: Inconsistent or inaccurate weighing scales, or variations in when the baby was weighed (e.g., after a feed vs. before), can lead to slight fluctuations in recorded weight, potentially impacting the calculated percentile.
It's crucial to remember that percentiles are just one piece of the puzzle. A healthcare professional will always consider the baby's overall health, development, and growth trend.
Frequently Asked Questions (FAQ)
Q1: What is the difference between weight percentile and BMI percentile for babies?
For babies, weight percentile is the most common metric used for tracking growth up to age 2. BMI percentile becomes more relevant for older children. Weight percentile compares a baby's weight to others of the same age and sex, while BMI percentile compares their Body Mass Index (a ratio of weight to height squared) to others.
Q2: My baby is in the 90th percentile. Is that bad?
No, not necessarily. The 90th percentile simply means your baby weighs more than 90% of babies of the same age and sex. As long as your baby is consistently following their growth curve and is healthy, alert, and meeting developmental milestones, this is perfectly fine. It's the trend and consistency that matter most.
Q3: My baby is in the 10th percentile. Should I be worried?
Similarly, the 10th percentile means your baby weighs more than 10% of babies of the same age and sex. If your baby is consistently tracking along this curve, feeding well, and developing normally, there may be no cause for concern. However, any significant drop in percentile or consistently low weight gain should be discussed with a healthcare professional.
Q4: How often should I measure my baby's weight?
For routine monitoring, weighing your baby at regular health check-ups (e.g., 6-8 weeks, 4 months, 8 months, 12 months) is usually sufficient. Frequent weighing at home can cause unnecessary anxiety. If you have concerns, consult your health visitor or doctor.
Q5: Does this calculator work for premature babies?
This calculator uses chronological age (age since birth). For premature babies, healthcare professionals often use "corrected age" (age adjusted for prematurity) for growth assessments, especially in the first 1-2 years. For precise assessment of premature babies, consult your paediatrician or specialist.
Q6: What units should I use for weight?
The calculator specifically requires weight in kilograms (kg). Please ensure your measurement is converted to kilograms before entering it.
Q7: What does the 50th percentile mean?
The 50th percentile is the median. It means that half of the babies of the same age and sex weigh less than this amount, and half weigh more. It represents the average weight within that population group.
Q8: Can I use this calculator for older children?
This calculator is specifically designed for infants and young children, typically up to 24 months, as growth charts for this age group focus primarily on weight for age. For older children (over 2 years), BMI-for-age percentiles are generally used, which require both height and weight measurements.
Related Tools and Internal Resources
var growthChartInstance = null;
function getGrowthChartData(ageMonths, sex) {
// Simplified UK growth chart data (approximate values for demonstration)
// Source: Based on general trends from NHS / WHO charts, actual charts are more complex.
// These are illustrative values and may not be perfectly accurate to official charts.
var data = {
male: {
// Age in months: [3rd, 15th, 50th, 85th, 97th] in kg
0: [3.6, 4.5, 5.5, 6.5, 7.5],
1: [4.5, 5.5, 6.7, 7.8, 9.0],
2: [5.3, 6.4, 7.7, 9.0, 10.3],
3: [6.0, 7.2, 8.6, 10.1, 11.5],
4: [6.6, 7.8, 9.3, 11.0, 12.5],
5: [7.1, 8.4, 9.9, 11.8, 13.4],
6: [7.5, 8.9, 10.4, 12.4, 14.1],
7: [7.9, 9.3, 10.8, 12.9, 14.7],
8: [8.2, 9.6, 11.2, 13.3, 15.2],
9: [8.5, 9.9, 11.5, 13.6, 15.6],
10: [8.7, 10.1, 11.8, 13.9, 15.9],
11: [8.9, 10.3, 12.0, 14.1, 16.2],
12: [9.0, 10.4, 12.2, 14.3, 16.4],
18: [9.8, 11.2, 13.0, 15.1, 17.2],
24: [10.5, 12.0, 13.8, 15.9, 18.0]
},
female: {
// Age in months: [3rd, 15th, 50th, 85th, 97th] in kg
0: [3.3, 4.2, 5.2, 6.2, 7.2],
1: [4.2, 5.2, 6.3, 7.4, 8.5],
2: [5.0, 6.0, 7.2, 8.4, 9.7],
3: [5.6, 6.7, 7.9, 9.2, 10.5],
4: [6.1, 7.3, 8.5, 9.8, 11.2],
5: [6.5, 7.8, 9.1, 10.5, 11.9],
6: [6.9, 8.2, 9.5, 11.0, 12.5],
7: [7.2, 8.5, 9.8, 11.4, 12.9],
8: [7.5, 8.8, 10.1, 11.7, 13.2],
9: [7.7, 9.0, 10.3, 11.9, 13.5],
10: [7.9, 9.2, 10.5, 12.1, 13.7],
11: [8.0, 9.3, 10.7, 12.3, 13.9],
12: [8.1, 9.4, 10.8, 12.4, 14.0],
18: [8.8, 10.0, 11.5, 13.1, 14.7],
24: [9.4, 10.6, 12.1, 13.8, 15.4]
}
};
var sexData = data[sex.toLowerCase()];
if (!sexData) return null;
// Find the closest age data point
var ages = Object.keys(sexData).map(Number).sort(function(a, b) { return a – b; });
var closestAge = ages[0];
for (var i = 0; i = ages[i]) {
closestAge = ages[i];
} else {
break;
}
}
return sexData[closestAge];
}
function interpolatePercentile(weight, percentileWeights) {
if (!percentileWeights || percentileWeights.length !== 5) return null;
var percentiles = [3, 15, 50, 85, 97];
var p3 = percentileWeights[0];
var p15 = percentileWeights[1];
var p50 = percentileWeights[2];
var p85 = percentileWeights[3];
var p97 = percentileWeights[4];
if (weight = p97) return 100; // At or above 97th percentile
// Simple linear interpolation between known points
if (weight < p15) {
return 3 + (weight – p3) * (15 – 3) / (p15 – p3);
} else if (weight < p50) {
return 15 + (weight – p15) * (50 – 15) / (p50 – p15);
} else if (weight < p85) {
return 50 + (weight – p50) * (85 – 50) / (p85 – p50);
} else { // weight < p97
return 85 + (weight – p85) * (97 – 85) / (p97 – p85);
}
}
function validateInput(id, errorId, min, max) {
var input = document.getElementById(id);
var errorElement = document.getElementById(errorId);
var value = parseFloat(input.value);
errorElement.classList.remove('visible');
input.style.borderColor = '#ccc';
if (isNaN(value) || input.value.trim() === "") {
errorElement.textContent = "This field is required.";
errorElement.classList.add('visible');
input.style.borderColor = 'red';
return false;
}
if (value max) {
errorElement.textContent = "Value is too high.";
errorElement.classList.add('visible');
input.style.borderColor = 'red';
return false;
}
return true;
}
function calculatePercentile() {
var ageMonths = parseFloat(document.getElementById('babyAgeMonths').value);
var weightKg = parseFloat(document.getElementById('babyWeightKg').value);
var sex = document.getElementById('babySex').value;
var validAge = validateInput('babyAgeMonths', 'babyAgeMonthsError', 0, 36); // Max age for typical charts
var validWeight = validateInput('babyWeightKg', 'babyWeightKgError', 0);
if (!validAge || !validWeight) {
document.getElementById('primary-result').textContent = '–%';
updateTableAndChart(null, null, null, null, null, null);
return;
}
var percentileWeights = getGrowthChartData(ageMonths, sex);
var percentile = null;
var growthRef = "";
if (percentileWeights) {
percentile = interpolatePercentile(weightKg, percentileWeights);
if (percentile !== null) {
percentile = Math.round(percentile);
document.getElementById('primary-result').textContent = percentile + '%';
var p3 = percentileWeights[0];
var p15 = percentileWeights[1];
var p50 = percentileWeights[2];
var p85 = percentileWeights[3];
var p97 = percentileWeights[4];
document.getElementById('p3').textContent = p3.toFixed(2);
document.getElementById('p15').textContent = p15.toFixed(2);
document.getElementById('p50').textContent = p50.toFixed(2);
document.getElementById('p85').textContent = p85.toFixed(2);
document.getElementById('p97').textContent = p97.toFixed(2);
document.getElementById('tableAge').textContent = Math.floor(ageMonths); // Display rounded age in table caption
if (percentile < 3) growthRef = "Significantly Below Average";
else if (percentile < 15) growthRef = "Below Average";
else if (percentile < 50) growthRef = "Below Median";
else if (percentile === 50) growthRef = "On Median";
else if (percentile < 85) growthRef = "Above Median";
else if (percentile < 97) growthRef = "Above Average";
else growthRef = "Significantly Above Average";
updateTableAndChart(percentile, weightKg, ageMonths, p50, p3, p97, growthRef);
} else {
document.getElementById('primary-result').textContent = 'N/A';
updateTableAndChart(null, weightKg, ageMonths, null, null, null, "Data unavailable");
}
} else {
document.getElementById('primary-result').textContent = 'N/A';
updateTableAndChart(null, weightKg, ageMonths, null, null, null, "Data unavailable");
}
document.getElementById('weightForAge').innerHTML = 'Weight for Age:
' + weightKg.toFixed(2) + ' kg';
document.getElementById('ageInMonths').innerHTML = 'Age:
' + Math.floor(ageMonths) + ' months';
document.getElementById('growthChartLabel').innerHTML = 'Growth Chart Reference:
' + growthRef + '';
}
function updateTableAndChart(percentile, weight, age, medianWeight, p3Weight, p97Weight, growthRef) {
var ctx = document.getElementById('growthChart').getContext('2d');
// Destroy previous chart instance if it exists
if (growthChartInstance) {
growthChartInstance.destroy();
}
var chartLabels = ['3rd', '15th', '50th (Median)', '85th', '97th'];
var chartData = [];
var chartColors = ['rgba(0, 74, 153, 0.6)', 'rgba(0, 74, 153, 0.6)', 'rgba(40, 167, 69, 0.8)', 'rgba(0, 74, 153, 0.6)', 'rgba(0, 74, 153, 0.6)'];
if (p3Weight !== null && p15Weight !== null && medianWeight !== null && p85Weight !== null && p97Weight !== null) {
chartData = [p3Weight, p15Weight, medianWeight, p85Weight, p97Weight];
} else {
chartData = [0, 0, 0, 0, 0]; // Placeholder if data is missing
}
// Add baby's weight as a data point
var babyDataPoint = null;
var babyDataLabel = 'Your Baby (' + weight + ' kg)';
if (weight !== null && percentile !== null) {
// Find the closest percentile index for plotting
var closestIndex = 0;
if (percentile >= 15 && percentile = 50 && percentile = 85 && percentile = 97) closestIndex = 4;
// Create a placeholder array for the baby's weight, placing it at the closest percentile index
var tempBabyData = [null, null, null, null, null];
tempBabyData[closestIndex] = weight;
babyDataPoint = tempBabyData;
}
growthChartInstance = new Chart(ctx, {
type: 'line',
data: {
labels: chartLabels,
datasets: [{
label: 'Growth Chart Percentiles (kg)',
data: chartData,
borderColor: 'var(–primary-color)',
backgroundColor: 'rgba(0, 74, 153, 0.1)',
fill: false,
tension: 0.1,
pointRadius: 5,
pointBackgroundColor: chartColors,
pointBorderColor: '#fff',
order: 2 // Render chart lines first
},
{
label: babyDataLabel,
data: babyDataPoint, // Use the prepared baby data
borderColor: 'var(–success-color)',
backgroundColor: 'var(–success-color)',
fill: false,
tension: 0,
type: 'scatter', // Use scatter for a single point
pointRadius: 8,
pointHoverRadius: 10,
order: 1 // Render baby's point on top
}]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
y: {
beginAtZero: false,
title: {
display: true,
text: 'Weight (kg)'
}
},
x: {
title: {
display: true,
text: 'Percentile'
}
}
},
plugins: {
legend: {
position: 'top',
},
title: {
display: true,
text: 'Baby Weight vs. UK Percentiles (' + Math.floor(age) + ' months)'
}
}
}
});
}
function resetCalculator() {
document.getElementById('babyAgeMonths').value = '6';
document.getElementById('babyWeightKg').value = '7.5';
document.getElementById('babySex').value = 'male';
document.getElementById('primary-result').textContent = '–%';
document.getElementById('weightForAge').innerHTML = 'Weight for Age:
— kg';
document.getElementById('ageInMonths').innerHTML = 'Age:
— months';
document.getElementById('growthChartLabel').innerHTML = 'Growth Chart Reference:
—';
document.getElementById('p3').textContent = '–';
document.getElementById('p15').textContent = '–';
document.getElementById('p50').textContent = '–';
document.getElementById('p85').textContent = '–';
document.getElementById('p97').textContent = '–';
document.getElementById('tableAge').textContent = '–';
// Clear errors
document.getElementById('babyAgeMonthsError').textContent = ";
document.getElementById('babyAgeMonthsError').classList.remove('visible');
document.getElementById('babyWeightKgError').textContent = ";
document.getElementById('babyWeightKgError').classList.remove('visible');
document.getElementById('babyAgeMonths').style.borderColor = '#ccc';
document.getElementById('babyWeightKg').style.borderColor = '#ccc';
// Clear chart
if (growthChartInstance) {
growthChartInstance.destroy();
growthChartInstance = null;
}
var canvas = document.getElementById('growthChart');
var ctx = canvas.getContext('2d');
ctx.clearRect(0, 0, canvas.width, canvas.height);
}
function copyResults() {
var primaryResult = document.getElementById('primary-result').textContent;
var weightForAge = document.getElementById('weightForAge').textContent.replace('Weight for Age: ', ");
var age = document.getElementById('ageInMonths').textContent.replace('Age: ', ");
var growthRef = document.getElementById('growthChartLabel').textContent.replace('Growth Chart Reference: ', ");
var tableRows = document.querySelectorAll('#percentileTable tbody tr');
var tableData = "UK Baby Weight Percentiles:\n";
tableRows.forEach(function(row) {
var cells = row.querySelectorAll('td');
tableData += cells[0].textContent + ": " + cells[1].textContent + " kg\n";
});
var assumptions = "Key Assumptions:\n";
assumptions += "- Baby's Age: " + age + "\n";
assumptions += "- Baby's Weight: " + weightForAge + "\n";
assumptions += "- Growth Reference: " + growthRef + "\n";
var resultsText = "Baby Weight Percentile Results:\n" +
"—————————–\n" +
"Your Baby's Percentile: " + primaryResult + "\n" +
weightForAge + "\n" +
age + "\n" +
growthRef + "\n\n" +
tableData + "\n" +
assumptions;
try {
navigator.clipboard.writeText(resultsText).then(function() {
// Optional: Show a confirmation message
var copyButton = document.querySelector('.btn-copy');
var originalText = copyButton.textContent;
copyButton.textContent = 'Copied!';
setTimeout(function() {
copyButton.textContent = originalText;
}, 2000);
}).catch(function(err) {
console.error('Failed to copy text: ', err);
alert('Failed to copy results. Please copy manually.');
});
} catch (e) {
console.error('Clipboard API not available: ', e);
alert('Clipboard API not available. Please copy results manually.');
}
}
// Initial calculation on load if default values are set
document.addEventListener('DOMContentLoaded', function() {
calculatePercentile();
document.getElementById('currentYear').textContent = new Date().getFullYear();
});
// Update results in real-time as inputs change
document.getElementById('babyAgeMonths').addEventListener('input', calculatePercentile);
document.getElementById('babyWeightKg').addEventListener('input', calculatePercentile);
document.getElementById('babySex').addEventListener('change', calculatePercentile);