Baby Weight Percentiles Calculator Uk

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Baby Weight Percentiles Calculator UK

Understand Your Baby's Growth

Calculate your baby's weight percentile based on UK growth charts. Enter your baby's details below.

Boy Girl
Your Baby's Weight Percentile
–%
Formula Explanation: This calculator uses WHO (World Health Organization) growth standards adapted for UK use, which are widely adopted. The percentile is determined by comparing your baby's weight for their age and sex against a reference population. A percentile indicates that a baby weighs less than or equal to that percentage of babies of the same age and sex. For example, the 50th percentile means the baby is at the average weight for their age and sex.
Baby's Weight 50th Percentile (Average) 3rd Percentile (Lower Limit UK)
Weight Growth Chart Comparison
Results Summary
Baby's Age: weeks
Baby's Weight: kg
Baby's Gender:

Calculated Percentile:
Weight for Age (kg):
Comparison Point:
Growth Chart Reference:

What is a Baby Weight Percentile Calculator UK?

A baby weight percentile calculator for the UK is a digital tool designed to help parents, caregivers, and healthcare professionals assess a baby's growth by comparing their weight against established reference standards for babies of the same age and sex within the United Kingdom. It provides a percentile rank, which is a statistical measure indicating the percentage of babies in the reference population that weigh less than or equal to the baby being measured.

Who should use it?

  • New Parents: To gain reassurance or identify potential concerns about their baby's feeding and growth trajectory.
  • Healthcare Professionals: As a quick reference tool during routine check-ups to monitor infant development.
  • Grandparents and Family Members: To understand how a baby's growth compares to typical patterns.

Common Misconceptions:

  • Percentiles are not goals: Being on the 10th percentile doesn't mean a baby needs to reach the 50th. A consistent percentile is often more important than the specific number.
  • All percentiles are normal: While the 50th percentile represents the average, babies can be perfectly healthy anywhere within the typical range (often considered between the 3rd and 97th percentiles).
  • One-off measurements are definitive: Growth is a journey. A single measurement is a snapshot; consistent tracking over time is key.

Baby Weight Percentiles Calculator UK Formula and Mathematical Explanation

The calculation of baby weight percentiles relies on complex statistical models derived from extensive population studies. The most commonly used standards, such as those from the World Health Organization (WHO), are based on data from breastfed infants and are widely adopted globally, including in the UK, as they represent optimal growth patterns. The process involves inputting the baby's age (usually in weeks or months) and weight (in kilograms or pounds), along with their sex, and then comparing these values against smoothed percentile curves.

While the exact mathematical formula used by the WHO is highly sophisticated involving LMS (Lambda, Mu, Sigma) parameters to model the distribution of weight across different ages, a simplified conceptual understanding is as follows:

The calculator essentially finds the specific weight for the baby's exact age and sex on the growth chart and then determines where that weight falls relative to predefined percentile lines (e.g., 3rd, 15th, 50th, 85th, 97th).

Variables Explained:

Variable Meaning Unit Typical Range
Baby's Age The age of the infant since birth. Weeks (or Months) 0+ Weeks
Baby's Weight The measured body weight of the infant. Kilograms (kg) 0.5 kg – 15 kg (approx. for first year)
Baby's Gender The sex of the infant (male or female), as growth patterns can differ slightly. Categorical (Boy/Girl) Boy / Girl
Percentile Rank The calculated percentage indicating the baby's weight relative to peers of the same age and sex. Percentage (%) 0% – 100%
Reference Population The group of healthy infants used to create the growth standards (e.g., WHO standards). N/A N/A

The calculator's underlying logic finds the point on the age axis corresponding to the baby's age and then traces up to the weight axis. It then interpolates between the standard percentile curves (like the 3rd, 50th, and 97th) to estimate the baby's specific percentile rank. The UK uses WHO growth charts as a primary reference.

Practical Examples (Real-World Use Cases)

Here are a couple of examples illustrating how the UK baby weight percentile calculator can be used:

  1. Example 1: Healthy Steady Growth

    Scenario: Sarah's baby boy, Leo, is 20 weeks old (approx. 5 months) and weighs 7.2 kg. Sarah is Eager to see if Leo is growing consistently.

    Inputs:

    • Age: 20 weeks
    • Weight: 7.2 kg
    • Gender: Boy

    Output:

    • Calculated Percentile: 45th percentile
    • Weight for Age: 7.2 kg
    • Comparison Point: Approximately 7.2 kg
    • Growth Chart Reference: WHO/UK 45th Percentile Curve

    Interpretation: Leo's weight falls at the 45th percentile. This means he weighs the same or less than 45% of baby boys his age in the UK. This is a healthy percentile, and if his growth has been following a similar trajectory over previous checks, it indicates steady and appropriate development.

  2. Example 2: Lower Percentile with Concern

    Scenario: David's baby girl, Emily, is 10 weeks old and weighs 4.0 kg. She was born at full term but seems smaller than other babies she meets.

    Inputs:

    • Age: 10 weeks
    • Weight: 4.0 kg
    • Gender: Girl

    Output:

    • Calculated Percentile: 10th percentile
    • Weight for Age: 4.0 kg
    • Comparison Point: Approximately 4.0 kg
    • Growth Chart Reference: WHO/UK 10th Percentile Curve

    Interpretation: Emily is at the 10th percentile. While this is within the broadly accepted normal range (typically 3rd-97th percentile), it's on the lower side. David should discuss this with his health visitor or GP. They will look at her feeding patterns, overall development, and previous growth trajectory to ensure there are no underlying issues. A consistent drop in percentiles would be more concerning than a stable position on a lower curve.

How to Use This Baby Weight Percentiles Calculator UK

Using our baby weight percentile calculator is straightforward and designed for ease of use:

  1. Input Baby's Age: Enter the age of your baby in weeks into the "Baby's Age (in weeks)" field. For example, if your baby is 3 months old, that's approximately 12-13 weeks.
  2. Input Baby's Weight: Enter your baby's current weight in kilograms (kg) into the "Baby's Weight (in kg)" field. Ensure you use a reliable set of scales.
  3. Select Baby's Gender: Choose either "Boy" or "Girl" from the dropdown menu. Growth charts often show slight differences between sexes.
  4. Click 'Calculate Percentile': Once all information is entered, click the button. The calculator will instantly process the data.

How to Read Results:

  • Main Result (Percentile): This is the primary output, showing the percentile rank (e.g., "45th"). It signifies that your baby weighs the same or less than this percentage of babies of the same age and sex in the UK.
  • Intermediate Values: These provide context:
    • Weight for Age: This should match your input weight, confirming the data point used.
    • Comparison Point: Often, this will be the same as the baby's weight, indicating the exact measurement point on the chart.
    • Growth Chart Reference: This indicates which specific percentile curve your baby's measurement aligns with on the standard growth chart (e.g., WHO/UK 45th Percentile Curve).
  • Chart: The visual chart provides a graphical representation, showing your baby's weight point relative to the 3rd, 50th, and other key percentiles. This helps visualize their position within the growth spectrum.

Decision-Making Guidance:

  • Stable Percentile: If your baby's percentile remains consistent across multiple measurements, it generally indicates healthy, steady growth, regardless of whether it's high or low.
  • Significant Changes: A sudden jump or drop in percentile, or consistently falling below the 3rd percentile or above the 97th percentile, warrants a discussion with a healthcare professional.
  • Consult Professionals: This calculator is an informational tool. Always consult your GP, health visitor, or paediatrician for personalised advice regarding your baby's health and development.

Key Factors That Affect Baby Weight Percentiles

Several factors influence a baby's weight and their position on the percentile charts. Understanding these can provide a more complete picture of infant growth:

  1. Genetics and Parental Build: Just like adults, babies inherit genetic predispositions. If parents are naturally tall or have larger builds, their baby might also trend towards higher percentiles, and vice versa.
  2. Birth Weight and Gestational Age: Premature babies or those born small for gestational age (SGA) often start on lower percentiles and may need time to "catch up." Full-term, larger babies might start higher.
  3. Feeding Method and Volume: Breastfed babies and formula-fed babies can have different growth patterns. The adequacy of milk intake (frequency, duration, and overall volume) is crucial. Issues with latching or milk supply can affect weight gain.
  4. Infant Health and Medical Conditions: Underlying medical issues, such as allergies, digestive problems (like reflux or malabsorption), metabolic disorders, or infections, can significantly impact a baby's ability to gain weight appropriately.
  5. Baby's Activity Level: While less impactful in early infancy compared to diet, a baby's metabolic rate and energy expenditure can play a minor role. More active babies might burn slightly more calories.
  6. Introduction of Solids: When solid foods are introduced (typically around 6 months in the UK), the types of foods and their calorie density can influence subsequent weight gain and potentially shift percentiles.
  7. Maternal Health During Pregnancy: Factors like maternal diabetes, nutrition, and weight gain during pregnancy can influence fetal growth and birth weight, setting the initial baseline for percentile tracking.

Frequently Asked Questions (FAQ)

What is the most common baby weight percentile in the UK?

The most common percentile is the 50th, which represents the average weight for babies of that age and sex. However, any percentile between the 3rd and 97th is generally considered within the normal range for healthy growth.

Is it bad if my baby is on the 3rd percentile?

Being on the 3rd percentile means your baby weighs the same or less than 3% of babies their age and sex. While it's on the lower end of the typical range, it's not necessarily bad if the baby is otherwise healthy, active, meeting developmental milestones, and gaining weight consistently along that curve. It's essential to discuss this with a healthcare professional who can assess the overall picture.

My baby dropped a percentile. Should I worry?

A single drop in percentile isn't always cause for alarm, especially if it's a minor shift. However, a consistent downward trend across multiple measurements or a significant drop (e.g., from the 75th to the 25th percentile) warrants investigation. It could indicate issues with feeding, absorption, or underlying health problems. Consult your health visitor or GP.

How often should I check my baby's weight percentile?

Routine checks are typically done at baby's health reviews, often at specific ages (e.g., 6-8 weeks, 4 months, 1 year). For parents using a calculator at home, using it after regular weigh-ins (e.g., monthly, or as advised by your healthcare provider) can help track trends. Focus on consistency over time rather than isolated numbers.

Are UK growth charts different from WHO charts?

The UK largely uses growth charts based on the World Health Organization (WHO) standards for infants up to two years old. These WHO charts are considered the international standard for infant growth, reflecting optimal growth for healthy, breastfed babies. NHS England recommends their use.

Can I use pounds and ounces with this calculator?

This specific calculator requires weight input in kilograms (kg). If your baby's weight is measured in pounds and ounces, you'll need to convert it to kilograms first. (1 kg ≈ 2.205 lbs; 1 lb ≈ 0.454 kg).

What if my baby's weight is very high?

If your baby is consistently above the 97th percentile, it's advisable to discuss this with your healthcare provider. While sometimes it's simply due to genetics or robust feeding, very high weight gain can sometimes be associated with future health risks. They can assess feeding patterns and overall health.

Does this calculator account for birth weight differences?

The calculator uses age and current weight. While birth weight influences the starting percentile, this tool focuses on current growth trajectory based on age. A healthcare professional uses both birth weight and current measurements, plotted on a chart covering the baby's entire growth period, for a comprehensive assessment.

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// Data for WHO/UK growth charts (simplified approximation for demonstration) // These are rough estimates and real charts are more complex (LMS model) // Data structure: [age_weeks, {boy_percentiles: [3rd, 15th, 50th, 85th, 97th], girl_percentiles: [3rd, 15th, 50th, 85th, 97th]}] // All weights in KG var growthData = [ { age: 0, boy: { p3: 2.5, p15: 2.8, p50: 3.1, p85: 3.4, p97: 3.8 }, girl: { p3: 2.4, p15: 2.7, p50: 3.0, p85: 3.3, p97: 3.7 } }, // Birth { age: 4, boy: { p3: 3.8, p15: 4.3, p50: 4.9, p85: 5.5, p97: 6.2 }, girl: { p3: 3.6, p15: 4.1, p50: 4.7, p85: 5.3, p97: 6.0 } }, // 1 Month { age: 8, boy: { p3: 5.0, p15: 5.7, p50: 6.5, p85: 7.3, p97: 8.2 }, girl: { p3: 4.8, p15: 5.5, p50: 6.3, p85: 7.1, p97: 7.9 } }, // 2 Months { age: 12, boy: { p3: 6.0, p15: 6.9, p50: 7.8, p85: 8.8, p97: 9.8 }, girl: { p3: 5.8, p15: 6.7, p50: 7.6, p85: 8.6, p97: 9.5 } }, // 3 Months { age: 16, boy: { p3: 6.9, p15: 8.0, p50: 9.1, p85: 10.3, p97: 11.5 }, girl: { p3: 6.7, p15: 7.8, p50: 8.9, p85: 10.0, p97: 11.1 } }, // 4 Months { age: 20, boy: { p3: 7.6, p15: 8.9, p50: 10.2, p85: 11.6, p97: 13.0 }, girl: { p3: 7.4, p15: 8.7, p50: 10.0, p85: 11.3, p97: 12.6 } }, // 5 Months { age: 24, boy: { p3: 8.3, p15: 9.7, p50: 11.2, p85: 12.7, p97: 14.2 }, girl: { p3: 8.1, p15: 9.5, p50: 11.0, p85: 12.4, p97: 13.8 } }, // 6 Months { age: 30, boy: { p3: 9.3, p15: 10.9, p50: 12.6, p85: 14.3, p97: 16.0 }, girl: { p3: 9.1, p15: 10.7, p50: 12.3, p85: 14.0, p97: 15.6 } }, // 7 Months { age: 34, boy: { p3: 10.0, p15: 11.7, p50: 13.5, p85: 15.3, p97: 17.1 }, girl: { p3: 9.8, p15: 11.5, p50: 13.2, p85: 15.0, p97: 16.8 } }, // 8 Months { age: 39, boy: { p3: 10.7, p15: 12.6, p50: 14.5, p85: 16.4, p97: 18.3 }, girl: { p3: 10.5, p15: 12.3, p50: 14.2, p85: 16.1, p97: 18.0 } }, // 9 Months { age: 43, boy: { p3: 11.3, p15: 13.3, p50: 15.3, p85: 17.3, p97: 19.3 }, girl: { p3: 11.1, p15: 13.0, p50: 15.0, p85: 17.0, p97: 19.0 } }, // 10 Months { age: 47, boy: { p3: 11.9, p15: 14.0, p50: 16.1, p85: 18.2, p97: 20.3 }, girl: { p3: 11.7, p15: 13.7, p50: 15.8, p85: 17.9, p97: 19.9 } }, // 11 Months { age: 52, boy: { p3: 12.4, p15: 14.6, p50: 16.8, p85: 19.0, p97: 21.2 }, girl: { p3: 12.2, p15: 14.3, p50: 16.5, p85: 18.7, p97: 20.8 } } // 12 Months ]; // Function to find the closest data point and interpolate function getWeightAtAge(ageWeeks, gender) { if (ageWeeks 52) ageWeeks = 52; // Cap at 12 months for this simplified data var dataPoint1 = null; var dataPoint2 = null; for (var i = 0; i < growthData.length; i++) { if (growthData[i].age === ageWeeks) { dataPoint1 = growthData[i]; break; } else if (growthData[i].age dataPoint1.age)) { dataPoint1 = growthData[i]; } else if (growthData[i].age > ageWeeks && (dataPoint2 === null || growthData[i].age < dataPoint2.age)) { dataPoint2 = growthData[i]; } } // If exact match found if (dataPoint1 && dataPoint1.age === ageWeeks) { var percentiles = gender === 0 ? dataPoint1.boy : dataPoint1.girl; return { p3: percentiles.p3, p15: percentiles.p15, p50: percentiles.p50, p85: percentiles.p85, p97: percentiles.p97 }; } // Interpolate between two points if exact match not found if (dataPoint1 && dataPoint2) { var age1 = dataPoint1.age; var age2 = dataPoint2.age; var weight1_boy = dataPoint1.boy.p50; var weight2_boy = dataPoint2.boy.p50; var weight1_girl = dataPoint1.girl.p50; var weight2_girl = dataPoint2.girl.p50; var factor = (ageWeeks – age1) / (age2 – age1); var interpolated_p50 = weight1_boy + factor * (weight2_boy – weight1_boy); if (gender === 1) { interpolated_p50 = weight1_girl + factor * (weight2_girl – weight1_girl); } // Simplified: We only return the p50 for this example, but a real calculation would interpolate all percentiles. return { p50: interpolated_p50 }; } else if (dataPoint1) { // If only dataPoint1 is found (e.g., ageWeeks close to 0 or 52) var percentiles = gender === 0 ? dataPoint1.boy : dataPoint1.girl; return percentiles; } return null; // Should not happen with boundary checks } // Very simplified percentile calculation logic – NOT precise WHO LMS // This function finds the percentile rank for a given weight at a given age/gender. function calculatePercentileRank(ageWeeks, weightKg, gender) { if (ageWeeks < 0 || weightKg = 0 && d.age <= 52; }); // Use data within 0-52 weeks var closestDataPoint = null; var minAgeDiff = Infinity; for (var i = 0; i < dataRange.length; i++) { var ageDiff = Math.abs(dataRange[i].age – ageWeeks); if (ageDiff < minAgeDiff) { minAgeDiff = ageDiff; closestDataPoint = dataRange[i]; } } if (!closestDataPoint) return -1; // No data available var referenceWeights = gender === 0 ? closestDataPoint.boy : closestDataPoint.girl; // Weights in kg for the closest age var p3 = referenceWeights.p3; var p15 = referenceWeights.p15; var p50 = referenceWeights.p50; var p85 = referenceWeights.p85; var p97 = referenceWeights.p97; // Simple linear interpolation/extrapolation for percentile rank if (weightKg <= p3) return Math.max(0, 3 – (p3 – weightKg) * 5); // Extrapolate below 3rd if (weightKg <= p15) return Math.max(3, 15 – (p15 – weightKg) * 1.5); // Interpolate between 3rd and 15th if (weightKg <= p50) return Math.max(15, 50 – (p50 – weightKg) * 1.5); // Interpolate between 15th and 50th if (weightKg <= p85) return Math.max(50, 85 – (p85 – weightKg) * 1.5); // Interpolate between 50th and 85th if (weightKg <= p97) return Math.max(85, 97 – (p97 – weightKg) * 1.5); // Interpolate between 85th and 97th return Math.min(100, 97 + (weightKg – p97) * 5); // Extrapolate above 97th } function validateInputs() { var age = parseFloat(document.getElementById("babyAge").value); var weight = parseFloat(document.getElementById("babyWeight").value); var gender = parseInt(document.getElementById("babyGender").value); var errors = false; if (isNaN(age) || age < 0) { document.getElementById("babyAgeError").innerText = "Please enter a valid age in weeks (0 or greater)."; errors = true; } else { document.getElementById("babyAgeError").innerText = ""; } if (isNaN(weight) || weight = 0) { mainResultDisplay.innerText = Math.round(percentile) + "%"; weightForAgeDisplay.innerHTML = "Weight for Age: " + weightKg.toFixed(2) + " kg"; comparisonPointDisplay.innerHTML = "Comparison Point: Approx. " + weightKg.toFixed(2) + " kg"; // Determine Growth Chart Reference description var chartRefText = ""; if (percentile < 3) chartRefText = "Below 3rd Percentile Curve"; else if (percentile < 15) chartRefText = "Between 3rd and 15th Percentile Curve"; else if (percentile < 50) chartRefText = "Between 15th and 50th Percentile Curve"; else if (percentile < 85) chartRefText = "Between 50th and 85th Percentile Curve"; else if (percentile < 97) chartRefText = "Between 85th and 97th Percentile Curve"; else chartRefText = "Above 97th Percentile Curve"; growthChartRefDisplay.innerHTML = "Growth Chart Reference: " + chartRefText; resultsSection.style.display = "block"; updateChart(ageWeeks, weightKg, gender, percentile); } else { resultsSection.style.display = "none"; mainResultDisplay.innerText = "Error"; } } function resetCalculator() { document.getElementById("babyAge").value = 12; document.getElementById("babyWeight").value = 6.5; document.getElementById("babyGender").value = 0; // Default to Boy document.getElementById("babyAgeError").innerText = ""; document.getElementById("babyWeightError").innerText = ""; document.getElementById("babyGenderError").innerText = ""; document.getElementById("resultsSection").style.display = "none"; document.getElementById("copyableResults").style.display = "none"; clearChart(); // Clear the chart as well } function copyResults() { var age = document.getElementById("babyAge").value; var weight = document.getElementById("babyWeight").value; var genderSelect = document.getElementById("babyGender"); var gender = genderSelect.options[genderSelect.selectedIndex].text; var percentileText = document.getElementById("mainResult").innerText; var weightForAgeText = document.getElementById("weightForAge").innerText.replace("Weight for Age: ", ""); var comparisonPointText = document.getElementById("comparisonPoint").innerText.replace("Comparison Point: ", ""); var growthChartRefText = document.getElementById("growthChartReference").innerText.replace("Growth Chart Reference: ", ""); var copyText = "Baby Weight Percentile Results (UK):\n\n" + "Baby's Age: " + age + " weeks\n" + "Baby's Weight: " + weight + " kg\n" + "Baby's Gender: " + gender + "\n\n" + "Calculated Percentile: " + percentileText + "\n" + weightForAgeText + "\n" + comparisonPointText + "\n" + growthChartRefText; // Update hidden fields for copyable results section document.getElementById("copyAge").innerText = age; document.getElementById("copyWeight").innerText = weight; document.getElementById("copyGender").innerText = gender; document.getElementById("copyPercentile").innerText = percentileText; document.getElementById("copyWeightForAge").innerText = weightForAgeText; document.getElementById("copyComparisonPoint").innerText = comparisonPointText; document.getElementById("copyGrowthChartReference").innerText = growthChartRefText; // Display the section document.getElementById("copyableResults").style.display = "block"; // Optional: Use navigator.clipboard API for better copy experience // navigator.clipboard.writeText(copyText).then(function() { // alert("Results copied to clipboard!"); // }).catch(function(err) { // console.error("Failed to copy text: ", err); // // Fallback or just show the text section // }); } // Charting Logic var weightChart; // Declare chart variable globally function clearChart() { if (weightChart) { weightChart.destroy(); weightChart = null; } var canvas = document.getElementById('weightPercentileChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear canvas content } function updateChart(ageWeeks, babyWeightKg, gender, babyPercentile) { clearChart(); // Clear previous chart if it exists var canvas = document.getElementById('weightPercentileChart'); var ctx = canvas.getContext('2d'); // Find relevant data points for chart interpolation var chartDataPoints = []; var referenceAges = [0, 4, 8, 12, 16, 20, 24, 30, 34, 39, 43, 47, 52]; // Weeks var p3Weights = []; var p50Weights = []; var p97Weights = []; var babyWeights = []; // Store baby's weight at different ages for comparison if ageWeeks changes for (var i = 0; i item.weight !== null); // Remove null placeholders // Create Chart instance weightChart = new Chart(ctx, { type: 'line', data: { labels: referenceAges.filter(function(age, index) { return chartDataPoints[index]; }), // Use only ages with data datasets: [ { label: '3rd Percentile', data: p3Weights.filter(function(w, index) { return chartDataPoints[index]; }), borderColor: '#ffc107′, // Yellowish for 3rd percentile borderWidth: 1.5, fill: false, tension: 0.1, pointRadius: 0, // Hide points for percentile lines spanGaps: true }, { label: '50th Percentile (Average)', data: p50Weights.filter(function(w, index) { return chartDataPoints[index]; }), borderColor: '#28a745′, // Green for 50th percentile borderWidth: 2, fill: false, tension: 0.1, pointRadius: 0, spanGaps: true }, { label: '97th Percentile', data: p97Weights.filter(function(w, index) { return chartDataPoints[index]; }), borderColor: '#004a99', // Primary blue for 97th percentile borderWidth: 1.5, fill: false, tension: 0.1, pointRadius: 0, spanGaps: true }, { label: "Baby's Weight", data: babyWeights.map(function(item) { return {x: item.age, y: item.weight}; }), borderColor: '#dc3545', // Red for baby's actual weight point backgroundColor: '#dc3545', borderWidth: 2, pointRadius: 5, // Make baby's point visible fill: false, type: 'scatter' // Use scatter for a single point } ] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { title: { display: true, text: 'Age (Weeks)' }, suggestedMin: 0, suggestedMax: 52 // Max age in weeks }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: false // Start Y axis appropriately } }, plugins: { legend: { display: false // Use custom legend }, 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'; } if (context.dataset.label === "Baby's Weight") { label += ` (Age: ${context.parsed.x} weeks)`; } return label; } } } } } }); } // Initial calculation and chart render on page load document.addEventListener('DOMContentLoaded', function() { calculatePercentile(); // Run calculation on load with default values }); // Add event listeners for real-time updates (optional, can be resource intensive) document.getElementById("babyAge").addEventListener("input", calculatePercentile); document.getElementById("babyWeight").addEventListener("input", calculatePercentile); document.getElementById("babyGender").addEventListener("change", calculatePercentile); // FAQ Toggle var faqHeaders = document.querySelectorAll('.faq-item strong'); faqHeaders.forEach(function(header) { header.addEventListener('click', function() { var content = this.nextElementSibling; if (content.style.display === 'block') { content.style.display = 'none'; } else { content.style.display = 'block'; } }); });

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