Baby Weight Percentile Calculator Metric Uk

Baby Weight Percentile Calculator (Metric UK) – Calculate & Understand Growth :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –shadow-color: rgba(0, 0, 0, 0.1); –card-background: #fff; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; padding-top: 20px; padding-bottom: 40px; } .container { max-width: 960px; width: 100%; margin: 0 auto; background-color: var(–card-background); padding: 25px; border-radius: 8px; box-shadow: 0 4px 15px var(–shadow-color); display: flex; flex-direction: column; gap: 20px; } h1, h2, h3 { color: var(–primary-color); text-align: center; } h1 { font-size: 2.2em; margin-bottom: 10px; } h2 { font-size: 1.8em; margin-top: 30px; margin-bottom: 15px; border-bottom: 2px solid var(–primary-color); padding-bottom: 5px; 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Baby Weight Percentile Calculator (Metric UK)

Track your baby's growth and understand their weight percentile using UK metric measurements compared to WHO standards.

Baby Growth Calculator

Enter your baby's current weight in kilograms.
Enter your baby's age in days (e.g., 180 days for 6 months).
Boy Girl Select the sex assigned at birth.

Your Baby's Growth Results

— %
Age:
Weight: — kg
Sex:
This calculator uses WHO (World Health Organization) growth standards to determine the weight percentile for your baby based on their age and sex. The percentile indicates what percentage of babies of the same age and sex weigh less than your baby.
Growth Curve Your Baby's Data
Baby Weight Growth Chart (Metric)

What is a Baby Weight Percentile Calculator (Metric UK)?

A Baby Weight Percentile Calculator (Metric UK) is a tool designed to help parents and healthcare professionals assess a baby's growth in relation to established standards. Specifically for use in the UK, this calculator uses metric measurements (kilograms and days) and compares the baby's weight against the growth charts provided by the World Health Organization (WHO). The primary output is a percentile, which indicates how a baby's weight stacks up against other babies of the same age and sex. For instance, a baby at the 50th percentile weighs exactly the same as the 'average' baby of that age and sex, while a baby at the 90th percentile weighs more than 90% of babies. Conversely, a baby at the 10th percentile weighs more than only 10% of babies.

Who should use it?

  • New Parents: To gain peace of mind and a clearer understanding of their baby's development.
  • Paediatricians & Health Visitors: To quickly plot a child's growth and identify potential concerns.
  • Midwives & Doulas: As a supplementary tool during antenatal and postnatal care.
  • Anyone tracking baby growth: For personal record-keeping and monitoring.

Common Misconceptions:

  • Percentiles are not targets: Being above or below the 50th percentile doesn't automatically mean a baby is 'too big' or 'too small'. Healthy growth follows a curve.
  • One reading isn't definitive: A single percentile can be a snapshot. Consistent tracking over time is more informative.
  • 'Average' is not always 'best': All percentiles within the healthy range (typically considered between the 3rd and 97th) can represent normal, healthy growth.

Baby Weight Percentile Calculator (Metric UK) Formula and Mathematical Explanation

The calculation of baby weight percentiles relies on complex statistical models derived from extensive population data, primarily the WHO Child Growth Standards. These standards provide smoothed percentile curves for weight-for-age, based on thousands of infants. The calculator essentially interpolates your baby's specific data point (weight and age) onto these pre-defined curves.

While the exact interpolation algorithm can be complex, the core idea is to find where your baby's weight falls relative to the established median (50th percentile) and the spread of other babies.

Simplified Explanation:

The calculator takes your baby's weight (W), age in days (A), and sex (S), and finds the corresponding percentile (P) on the WHO growth chart. This is typically done by looking up the established weight for a given age and sex at different percentile points (e.g., 3rd, 15th, 50th, 85th, 97th) and determining where your baby's (W, A) point sits in relation to these reference points.

Variables Table:

Variable Meaning Unit Typical Range
Baby's Weight (W) Current measured weight of the baby. Kilograms (kg) 0.5 kg – 20 kg (approx.)
Baby's Age (A) Age of the baby since birth. Days 1 day – 365 days (approx. for first year)
Baby's Sex (S) Biological sex of the baby (influences growth curves). Categorical (Boy/Girl) Boy, Girl
Percentile (P) The calculated growth percentile. Percentage (%) 0% – 100%

Note: The underlying WHO data uses specific statistical methods (like the LMS method – Lambda, Mu, Sigma) to model these curves, which is more sophisticated than simple interpolation but achieves the same goal of mapping individual measurements onto population standards.

Practical Examples (Real-World Use Cases)

Example 1: A Well-Baby Check-up

Scenario: Sarah brings her 6-month-old son, Leo, for a routine check-up. Leo was born full-term and has been feeding well. Sarah is curious about how Leo is growing.

Inputs:

  • Baby's Weight: 8.2 kg
  • Baby's Age: 182 days (approximately 6 months)
  • Baby's Sex: Boy

Calculation: Using the calculator…

Outputs:

  • Primary Result: 75th Percentile
  • Age: 182 days
  • Weight: 8.2 kg
  • Sex: Boy

Interpretation: Leo is at the 75th percentile for weight for his age. This means he weighs more than 75% of boys his age according to WHO standards. This is considered a healthy and robust growth pattern. His health visitor would note this as normal progress.

Example 2: Monitoring a Premature Baby's Catch-Up Growth

Scenario: David and Chloe's daughter, Mia, was born prematurely at 32 weeks. She is now 4 months old (adjusted age is 2 months). They are closely monitoring her weight gain to ensure she is 'catching up'.

Inputs:

  • Baby's Weight: 4.5 kg
  • Baby's Age: 120 days (chronological age)
  • Baby's Sex: Girl

Calculation: Using the calculator (which uses chronological age but refers to WHO standards that account for prematurity implicitly by covering a wide range)…

Outputs:

  • Primary Result: 20th Percentile
  • Age: 120 days
  • Weight: 4.5 kg
  • Sex: Girl

Interpretation: Mia is at the 20th percentile. While this might seem lower, for a baby born prematurely, the focus is often on the *trend* of the percentile rather than the absolute number. The fact that she is gaining weight steadily and is within a generally accepted range (often between 3rd and 97th percentile) is positive. Her paediatrician would likely compare this to her adjusted age growth charts and monitor her closely.

How to Use This Baby Weight Percentile Calculator (Metric UK)

Using the calculator is straightforward:

  1. Input Baby's Weight: Enter your baby's current weight accurately in kilograms (e.g., 6.8). Ensure you use metric measurements.
  2. Input Baby's Age: Enter your baby's age in days. For example, 3 months is roughly 90 days, and 6 months is approximately 180 days. Precision here helps get a more accurate percentile.
  3. Select Baby's Sex: Choose 'Boy' or 'Girl' from the dropdown menu, as growth patterns differ slightly between sexes.
  4. Click 'Calculate Percentile': The tool will instantly process your inputs.

How to Read Results:

  • Primary Result (Highlighted): This is the most important figure – your baby's weight percentile. A percentile of 'X' means your baby weighs more than X% of babies of the same age and sex.
  • Intermediate Values: These confirm the inputs used (Age, Weight, Sex) for clarity.
  • Growth Chart: Visualises your baby's position relative to the standard growth curve. A dot shows your baby's data point.

Decision-Making Guidance:

  • Normal Range: Most babies fall between the 3rd and 97th percentiles. A consistent position within this range is generally a sign of healthy growth.
  • Significant Drops or Jumps: If your baby's percentile suddenly drops significantly or jumps dramatically over a short period, it's worth discussing with your health visitor or GP.
  • Premature Babies: For babies born early, growth is often assessed against adjusted age charts, but this calculator provides a useful snapshot against standard population data. Always consult a healthcare professional for tailored advice.
  • Consult Professionals: This calculator is a guide, not a substitute for professional medical advice. Always discuss your baby's growth with your healthcare provider.

Key Factors That Affect Baby Weight Percentile Results

While the calculator provides a percentile based on age and sex, several underlying factors influence a baby's weight gain and, consequently, their percentile position:

  1. Genetics: Just like adults, babies inherit a predisposition towards certain body types and growth rates. A baby from a taller or larger family might naturally track higher percentiles.
  2. Feeding Method & Intake: Whether a baby is breastfed or formula-fed, and the quantity and frequency of feeds, directly impact weight gain. Breastfed babies might initially gain weight differently than formula-fed babies.
  3. Prematurity & Gestational Age: Babies born significantly premature often experience a period of 'catch-up' growth. Their percentile trajectory might look different initially compared to full-term infants.
  4. Infant Health & Illness: Illnesses, digestive issues (like reflux or allergies), or underlying medical conditions can affect appetite and nutrient absorption, impacting weight gain.
  5. Birth Weight: A baby's starting weight at birth influences their initial growth trajectory. Some babies naturally start lower or higher and maintain that relative position.
  6. Activity Level: While less significant in very young infants, a baby's metabolism and energy expenditure can play a minor role. More active babies might burn calories slightly faster.
  7. Parental Health & Nutrition (during pregnancy): Maternal health and diet during pregnancy can influence fetal growth and birth weight, setting the initial stage for postnatal growth patterns.

Frequently Asked Questions (FAQ)

  • What is the 'normal' weight percentile for a baby? There isn't one single 'normal' percentile. All percentiles between the 3rd and 97th are considered within the healthy range by the WHO. Consistency in growth along a curve is often more important than the specific percentile number.
  • Does my baby need to be exactly 50th percentile? No, the 50th percentile simply represents the median – half of babies are above it, and half are below it. Healthy growth can occur at any consistent percentile within the accepted range.
  • How often should I check my baby's weight percentile? Growth is typically monitored by healthcare professionals at routine check-ups (e.g., 6-8 weeks, 4 months, 8 months, 12 months). You can use this calculator between appointments if you have concerns, but don't obsess over daily or weekly fluctuations.
  • My baby dropped a percentile. Should I worry? A single drop might not be concerning, especially if the baby is otherwise healthy and meeting developmental milestones. However, a consistent downward trend or a significant drop warrants a discussion with your GP or health visitor to rule out any underlying issues.
  • Does this calculator work for premature babies? This calculator uses chronological age. For premature babies, healthcare professionals often use adjusted age (age from due date) for assessment. While this calculator provides a data point, consult your paediatrician for the most accurate assessment of a premature baby's growth.
  • What if my baby's weight is over the 97th percentile? Weight above the 97th percentile might indicate a need for medical assessment to ensure there are no underlying health issues contributing to rapid weight gain. Discuss this with your healthcare provider.
  • What if my baby's weight is below the 3rd percentile? Weight below the 3rd percentile also warrants medical attention to investigate potential causes, such as feeding difficulties, metabolic issues, or other health concerns. Always consult a doctor.
  • Are UK growth charts different from WHO charts? The UK generally uses WHO growth charts as the standard for infants up to 2 years old. This calculator aligns with those standards. After age 2, different UK-specific centile charts are often used.

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// Function to validate input and display errors function validateInput(id, errorId, min, max, errorMessageEmpty, errorMessageRange) { var input = document.getElementById(id); var errorDiv = document.getElementById(errorId); var value = parseFloat(input.value); errorDiv.textContent = "; // Clear previous error if (isNaN(value) || input.value.trim() === ") { errorDiv.textContent = errorMessageEmpty; return false; } if (value max) { errorDiv.textContent = errorMessageRange.replace('{min}', min).replace('{max}', max); return false; } return true; } // Function to get WHO percentile data // NOTE: This is a simplified approximation. Real-world calculators use complex LMS tables. // Data structure: { sex: { age_in_days: { percentile_data } } } // Percentile data format: { p3: weight, p15: weight, p50: weight, p85: weight, p97: weight } // This data is illustrative and simplified for demonstration. Accurate WHO data is extensive. var whoGrowthData = { '1': { // Boys '0': { p3: 2.4, p15: 2.8, p50: 3.2, p85: 3.7, p97: 4.1 }, // ~0 months (birth) '30': { p3: 4.1, p15: 4.7, p50: 5.4, p85: 6.1, p97: 6.9 }, // ~1 month '60': { p3: 5.5, p15: 6.3, p50: 7.2, p85: 8.1, p97: 9.0 }, // ~2 months '90': { p3: 6.5, p15: 7.4, p50: 8.5, p85: 9.6, p97: 10.7 }, // ~3 months '120': { p3: 7.3, p15: 8.3, p50: 9.5, p85: 10.7, p97: 11.9 }, // ~4 months '150': { p3: 7.9, p15: 9.0, p50: 10.3, p85: 11.5, p97: 12.8 }, // ~5 months '182': { p3: 8.4, p15: 9.5, p50: 10.9, p85: 12.2, p97: 13.5 }, // ~6 months '210': { p3: 8.8, p15: 10.0, p50: 11.4, p85: 12.7, p97: 14.1 }, // ~7 months '240': { p3: 9.2, p15: 10.4, p50: 11.8, p85: 13.2, p97: 14.6 }, // ~8 months '270': { p3: 9.5, p15: 10.7, p50: 12.1, p85: 13.6, p97: 15.0 }, // ~9 months '300': { p3: 9.8, p15: 11.0, p50: 12.4, p85: 13.9, p97: 15.4 }, // ~10 months '330': { p3: 10.0, p15: 11.2, p50: 12.6, p85: 14.2, p97: 15.7 }, // ~11 months '365': { p3: 10.2, p15: 11.4, p50: 12.8, p85: 14.4, p97: 16.0 } // ~12 months }, '0': { // Girls '0': { p3: 2.2, p15: 2.7, p50: 3.1, p85: 3.5, p97: 3.9 }, // ~0 months (birth) '30': { p3: 3.8, p15: 4.3, p50: 4.9, p85: 5.6, p97: 6.3 }, // ~1 month '60': { p3: 5.0, p15: 5.7, p50: 6.5, p85: 7.3, p97: 8.2 }, // ~2 months '90': { p3: 5.9, p15: 6.7, p50: 7.7, p85: 8.6, p97: 9.6 }, // ~3 months '120': { p3: 6.6, p15: 7.5, p50: 8.6, p85: 9.6, p97: 10.7 }, // ~4 months '150': { p3: 7.2, p15: 8.1, p50: 9.2, p85: 10.3, p97: 11.4 }, // ~5 months '182': { p3: 7.6, p15: 8.6, p50: 9.8, p85: 10.9, p97: 12.1 }, // ~6 months '210': { p3: 8.0, p15: 9.0, p50: 10.2, p85: 11.3, p97: 12.5 }, // ~7 months '240': { p3: 8.3, p15: 9.3, p50: 10.5, p85: 11.7, p97: 12.9 }, // ~8 months '270': { p3: 8.6, p15: 9.6, p50: 10.8, p85: 12.0, p97: 13.2 }, // ~9 months '300': { p3: 8.8, p15: 9.8, p50: 11.0, p85: 12.2, p97: 13.4 }, // ~10 months '330': { p3: 9.0, p15: 10.0, p50: 11.1, p85: 12.4, p97: 13.6 }, // ~11 months '365': { p3: 9.2, p15: 10.2, p50: 11.3, p85: 12.5, p97: 13.8 } // ~12 months } }; // Function to find nearest age key in data function findNearestAgeKey(ageInDays, dataForSex) { var ages = Object.keys(dataForSex).map(Number).sort(function(a, b) { return a – b; }); var nearestKey = ages[0]; var minDiff = Math.abs(ageInDays – nearestKey); for (var i = 1; i < ages.length; i++) { var currentAge = ages[i]; var diff = Math.abs(ageInDays – currentAge); if (diff ageInDays && nearestKey ages[ages.length – 1]) return ages[ages.length – 1]; if (ageInDays < ages[0]) return ages[0]; return nearestKey; } // Function to calculate percentile using linear interpolation between nearest data points function calculatePercentile(weight, ageInDays, sex) { var sexKey = sex.toString(); if (!whoGrowthData[sexKey]) { console.error("Invalid sex key:", sexKey); return { percentile: NaN, p50: NaN, p15: NaN, p85: NaN }; } var dataForSex = whoGrowthData[sexKey]; // Find the two closest age data points for interpolation var sortedAges = Object.keys(dataForSex).map(Number).sort(function(a, b) { return a – b; }); var ageLower = sortedAges[0]; var ageUpper = sortedAges[sortedAges.length – 1]; for (var i = 0; i = sortedAges[i] && ageInDays <= sortedAges[i+1]) { ageLower = sortedAges[i]; ageUpper = sortedAges[i+1]; break; } } // Handle cases where age is outside the range of the data if (ageInDays = sortedAges[sortedAges.length – 1]) { ageLower = sortedAges[sortedAges.length – 1]; ageUpper = sortedAges[sortedAges.length – 1]; } var dataLower = dataForSex[ageLower]; var dataUpper = dataForSex[ageUpper]; // Interpolate percentile var percentile = NaN; if (ageLower === ageUpper) { // If age matches exactly or is outside range // Find percentile for the single data point var dataPoint = dataForSex[ageLower]; if (weight < dataPoint.p3) percentile = 1; else if (weight < dataPoint.p15) percentile = Math.max(3, Math.round(((weight – dataPoint.p3) / (dataPoint.p15 – dataPoint.p3)) * 12 + 3)); // Rough interpolation else if (weight < dataPoint.p50) percentile = Math.max(15, Math.round(((weight – dataPoint.p15) / (dataPoint.p50 – dataPoint.p15)) * 35 + 15)); else if (weight < dataPoint.p85) percentile = Math.max(50, Math.round(((weight – dataPoint.p50) / (dataPoint.p85 – dataPoint.p50)) * 35 + 50)); else if (weight < dataPoint.p97) percentile = Math.max(85, Math.round(((weight – dataPoint.p85) / (dataPoint.p97 – dataPoint.p85)) * 12 + 85)); else percentile = 98; // Above 97th percentile = Math.min(99, Math.max(1, percentile)); // Clamp between 1 and 99 } else { // Interpolate each percentile line individually var p3 = dataLower.p3 + (dataUpper.p3 – dataLower.p3) * (ageInDays – ageLower) / (ageUpper – ageLower); var p15 = dataLower.p15 + (dataUpper.p15 – dataLower.p15) * (ageInDays – ageLower) / (ageUpper – ageLower); var p50 = dataLower.p50 + (dataUpper.p50 – dataLower.p50) * (ageInDays – ageLower) / (ageUpper – ageLower); var p85 = dataLower.p85 + (dataUpper.p85 – dataLower.p85) * (ageInDays – ageLower) / (ageUpper – ageLower); var p97 = dataLower.p97 + (dataUpper.p97 – dataLower.p97) * (ageInDays – ageLower) / (ageUpper – ageLower); // Determine percentile based on interpolated values if (weight < p3) percentile = 1 + (p3 – weight) / (p3 – (p3 * 0.9)); // Estimate below 3rd else if (weight < p15) percentile = 3 + (p15 – weight) / (p15 – p3) * 12; else if (weight < p50) percentile = 15 + (p50 – weight) / (p50 – p15) * 35; else if (weight < p85) percentile = 50 + (p85 – weight) / (p85 – p50) * 35; else if (weight = minAgeInData && age <= maxAgeInData; }); chartAges.forEach(function(age) { var dataPoint = dataForSex[age]; // Use exact age if available if (dataPoint) { chartDataCurve.push({ x: age, y: dataPoint.p97 }); // Example: Plotting 97th percentile as upper bound for visual clarity chartDataMedian.push({ x: age, y: dataPoint.p50 }); chartData15th.push({ x: age, y: dataPoint.p15 }); chartData85th.push({ x: age, y: dataPoint.p85 }); } }); chartInstance = new Chart(ctx, { type: 'line', data: { datasets: [{ label: '97th Percentile', // Representative of upper range data: chartDataCurve, borderColor: 'rgba(0, 74, 153, 0.6)', // Primary color backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, tension: 0.1, pointRadius: 0 // Hide points on the curve }, { label: '85th Percentile', data: chartData85th, borderColor: 'rgba(40, 167, 69, 0.3)', // Success color, lighter backgroundColor: 'rgba(40, 167, 69, 0.05)', fill: '-1', // Fill to previous dataset (85th to 97th) tension: 0.1, pointRadius: 0 }, { label: '50th Percentile (Median)', data: chartDataMedian, borderColor: 'rgba(255, 193, 7, 0.6)', // Warning color for median backgroundColor: 'rgba(255, 193, 7, 0.1)', fill: '-1', // Fill to previous dataset (50th to 85th) tension: 0.1, pointRadius: 0 }, { label: '15th Percentile', data: chartData15th, borderColor: 'rgba(220, 53, 69, 0.3)', // Danger color, lighter backgroundColor: 'rgba(220, 53, 69, 0.05)', fill: '-1', // Fill to previous dataset (15th to 50th) tension: 0.1, pointRadius: 0 }, { label: 'Baby\'s Data', data: [{ x: ageDays, y: weight }], borderColor: 'var(–success-color)', backgroundColor: 'var(–success-color)', pointRadius: 8, pointHoverRadius: 10, showLine: false // Don't draw a line for the single point }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Days)' }, min: 0, max: 365, // Limit x-axis to 1 year ticks: { callback: function(value) { // Convert days to months for better readability if (value % 30 === 0) { return value / 30 + ' mo'; } return null; // Hide intermediate ticks } } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: false, // Start y-axis appropriately min: 0, // Ensure minimum weight is shown // Dynamically set max based on data suggestedMax: Math.max(16, weight * 1.2) // Adjust max based on baby's weight + some buffer } }, plugins: { legend: { display: false // Use custom legend below canvas }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.x !== null) { label += context.parsed.y + ' kg at ' + context.parsed.x + ' days'; } return label; } } } } } }); } function calculatePercentileWeight() { var weightInput = document.getElementById("babyWeight"); var ageInput = document.getElementById("babyAgeDays"); var sexInput = document.getElementById("babySex"); var weightError = document.getElementById("babyWeightError"); var ageError = document.getElementById("babyAgeDaysError"); var isValidWeight = validateInput("babyWeight", "babyWeightError", 0.1, 25, "Please enter baby's weight.", "Weight must be between 0.1 kg and 25 kg."); var isValidAge = validateInput("babyAgeDays", "babyAgeDaysError", 1, 730, "Please enter baby's age in days.", "Age must be between 1 day and 730 days (2 years)."); if (!isValidWeight || !isValidAge) { return; } var weight = parseFloat(weightInput.value); var ageDays = parseFloat(ageInput.value); var sex = parseInt(sexInput.value); var results = calculatePercentile(weight, ageDays, sex); var percentile = results.percentile; var p50 = results.p50; var p15 = results.p15; var p85 = results.p85; document.getElementById("resultPrimary").textContent = isNaN(percentile) ? "– %" : Math.round(percentile) + " %"; document.getElementById("resultAge").textContent = ageDays + " days"; document.getElementById("resultWeight").textContent = weight.toFixed(2) + " kg"; document.getElementById("resultSex").textContent = (sex === 1) ? "Boy" : "Girl"; // Update chart updateChart(); } function resetCalculator() { document.getElementById("babyWeight").value = "7.5"; document.getElementById("babyAgeDays").value = "180"; document.getElementById("babySex").value = "1"; // Default to Boy document.getElementById("babyWeightError").textContent = ""; document.getElementById("babyAgeDaysError").textContent = ""; calculatePercentileWeight(); // Recalculate with default values } function copyResults() { var primaryResult = document.getElementById("resultPrimary").textContent; var resultAge = document.getElementById("resultAge").textContent; var resultWeight = document.getElementById("resultWeight").textContent; var resultSex = document.getElementById("resultSex").textContent; var babyWeight = document.getElementById("babyWeight").value; var babyAgeDays = document.getElementById("babyAgeDays").value; var babySex = document.getElementById("babySex").options[document.getElementById("babySex").selectedIndex].text; var textToCopy = "Baby Weight Percentile Results:\n\n"; textToCopy += "—————————–\n"; textToCopy += "Primary Result: " + primaryResult + "\n"; textToCopy += "Baby's Age: " + resultAge + "\n"; textToCopy += "Baby's Weight: " + resultWeight + "\n"; textToCopy += "Baby's Sex: " + resultSex + "\n"; textToCopy += "\nAssumptions:\n"; textToCopy += "- Input Weight: " + babyWeight + " kg\n"; textToCopy += "- Input Age: " + babyAgeDays + " days\n"; textToCopy += "- Input Sex: " + babySex + "\n"; textToCopy += "\nFormula Basis: WHO Growth Standards (Metric UK)"; // Use a temporary textarea to copy var textArea = document.createElement("textarea"); textArea.value = textToCopy; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.opacity = 0; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Failed to copy.'; // Optionally show a temporary message to the user var copyButton = document.querySelector('.btn-copy'); var originalText = copyButton.textContent; copyButton.textContent = msg; setTimeout(function() { copyButton.textContent = originalText; }, 2000); } catch (err) { console.error('Fallback: Oops, unable to copy', err); var copyButton = document.querySelector('.btn-copy'); copyButton.textContent = 'Copy Failed'; setTimeout(function() { copyButton.textContent = 'Copy Results'; }, 2000); } document.body.removeChild(textArea); } // Initial calculation on page load window.onload = function() { // Load chart.js from CDN var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js'; script.onload = function() { console.log("Chart.js loaded"); resetCalculator(); // Trigger calculation and chart update }; document.head.appendChild(script); // Ensure the chart canvas exists before trying to update if (document.getElementById('growthChart')) { // Placeholder call, actual update happens after Chart.js loads // resetCalculator() will call updateChart() } else { console.error("Canvas element 'growthChart' not found."); } }; // Call calculatePercentileWeight on input change for real-time updates document.getElementById("babyWeight").addEventListener("input", calculatePercentileWeight); document.getElementById("babyAgeDays").addEventListener("input", calculatePercentileWeight); document.getElementById("babySex").addEventListener("change", calculatePercentileWeight);

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