Baby Weight Percentile Calculator Nhs

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Baby Weight Percentile Calculator NHS

Understand your baby's growth trajectory with our NHS-aligned percentile calculator.

Baby Weight Percentile Calculator

Enter the baby's age in days since birth.
Enter the baby's current weight in kilograms.
Boy Girl
Select the baby's sex.

Your Baby's Growth Results

Weight: — kg
Age: — days
Sex:
Percentile:
How it works: This calculator uses standard growth charts, typically based on data from organizations like the WHO or national health services (like the NHS), to determine where your baby's weight falls relative to other babies of the same age and sex. A percentile indicates that the baby weighs more than that percentage of babies. For example, the 50th percentile means the baby weighs the same as 50% of babies of the same age and sex.

Growth Chart

This chart visually represents your baby's weight against the 3rd, 50th, and 97th percentiles for their age and sex.

Growth Data Table

Age (Days) Weight (kg) Sex Percentile

What is Baby Weight Percentile?

Understanding your baby's growth is a common concern for new parents. The baby weight percentile calculator NHS (or similar standard charts) is a tool designed to help you gauge how your baby's weight compares to other babies of the same age and sex. It's not about whether your baby is "big" or "small" in absolute terms, but rather how their growth pattern aligns with typical development.

A percentile is a statistical measure that indicates the value below which a given percentage of observations in a group of observations fall. 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%. Conversely, a baby in the 25th percentile weighs less than 75% and more than 25%.

Who should use it?

  • New parents wanting to track their baby's growth.
  • Healthcare professionals (like health visitors or paediatricians) to monitor infant development.
  • Anyone seeking to understand standard infant growth patterns.

Common misconceptions:

  • Myth: Being below the 50th percentile is bad. Reality: All percentiles within the typical range (often considered between the 3rd and 97th) are normal. Growth is individual.
  • Myth: Percentiles are fixed. Reality: A baby's percentile can fluctuate, especially in the early months, as they establish their feeding patterns and growth curve.
  • Myth: Percentiles dictate future health. Reality: While consistent deviations from the norm might warrant investigation, a single percentile reading is not a definitive predictor of long-term health.

This baby weight percentile calculator NHS provides a snapshot based on current measurements, offering a valuable reference point for discussions with healthcare providers.

Baby Weight Percentile Formula and Mathematical Explanation

The calculation of a baby's weight percentile isn't a simple, single formula that can be expressed as a neat equation like `y = mx + c`. Instead, it relies on complex statistical models derived from extensive datasets of infant weights collected over time. These models are often represented by LMS (Lambda, Mu, Sigma) charts, which are standard tools used by health organisations like the NHS and WHO.

How it works:

  1. Data Collection: Large-scale studies gather weight measurements from thousands of babies, categorized by sex and age (often in weeks or months).
  2. Curve Fitting: Statistical techniques are used to fit curves to this data for specific percentiles (e.g., 3rd, 50th, 97th). These curves represent the expected weight range for a given age and sex.
  3. LMS Parameters: For each age point, three values are calculated:
    • L (Lambda): Represents the skewness of the distribution.
    • M (Mu): Represents the median (50th percentile) weight.
    • S (Sigma): Represents the coefficient of variation (related to the spread or standard deviation).
  4. Z-score Calculation: Given a baby's age, weight, and sex, the calculator uses the LMS parameters for that specific age to calculate a Z-score. The formula is approximately:
    Z = ( (Weight / M)^L - 1 ) / (L * S)
    (Note: Special handling is required if L=0).
  5. Percentile Conversion: The Z-score is then converted into a percentile using the standard normal distribution function (often approximated by algorithms or lookup tables). A Z-score of 0 corresponds to the 50th percentile, a positive Z-score corresponds to higher percentiles, and a negative Z-score corresponds to lower percentiles.

Variables Explained:

Variable Meaning Unit Typical Range
Age Baby's age since birth Days 0+ days
Weight Baby's current weight Kilograms (kg) 0.5 – 15+ kg (highly variable)
Sex Baby's biological sex Categorical (Boy/Girl) Boy, Girl
L (Lambda) Skewness parameter of the growth curve Dimensionless Approx. -1.5 to 1.5
M (Mu) Median (50th percentile) weight Kilograms (kg) Varies significantly with age
S (Sigma) Coefficient of variation for the growth curve Dimensionless Approx. 0.05 to 0.2
Z-score Standardized score indicating deviation from the median Dimensionless Approx. -3 to +3
Percentile Percentage of babies with lower weight % 0 – 100%

The baby weight percentile calculator NHS simplifies this complex process, providing an easy-to-understand output based on these underlying statistical principles. For precise calculations, it's crucial to use age and weight data that aligns with the specific growth charts referenced by the NHS.

Practical Examples (Real-World Use Cases)

Let's explore how the baby weight percentile calculator NHS can be used with practical examples:

Example 1: A Healthy Term Baby Boy

Scenario: Sarah and Tom welcomed a baby boy, Leo, at full term. At his 3-month (approximately 90 days) check-up, Leo weighs 7.5 kg. They want to see how his weight compares.

Inputs:

  • Baby's Age: 90 days
  • Baby's Weight: 7.5 kg
  • Baby's Sex: Boy

Calculation & Interpretation:

Using the calculator, Leo's weight of 7.5 kg at 90 days old for a boy falls around the 50th percentile. This is often considered the "ideal" spot as it represents the average weight for babies his age and sex. Sarah and Tom can be reassured that Leo is growing right on track according to standard growth patterns.

Key Results:

  • Primary Result: 50th Percentile
  • Intermediate Values: Weight 7.5 kg, Age 90 days, Sex Boy

Example 2: A Baby Girl Catching Up

Scenario: Maria's daughter, Chloe, was born a little early and had a lower birth weight. At 6 weeks (approximately 42 days), Chloe weighs 4.2 kg. Maria is keen to see if Chloe is gaining weight effectively.

Inputs:

  • Baby's Age: 42 days
  • Baby's Weight: 4.2 kg
  • Baby's Sex: Girl

Calculation & Interpretation:

The calculator shows Chloe is around the 25th percentile for weight at 42 days old. While this is below the 50th percentile, it's well within the healthy range (typically above the 3rd percentile). This indicates Chloe is growing steadily and following her own growth curve, which is positive. The healthcare provider will monitor her trend over time.

Key Results:

  • Primary Result: 25th Percentile
  • Intermediate Values: Weight 4.2 kg, Age 42 days, Sex Girl

These examples highlight how the baby weight percentile calculator NHS provides context for a baby's weight, aiding parents and caregivers in understanding their growth journey.

How to Use This Baby Weight Percentile Calculator NHS

Using our baby weight percentile calculator NHS is straightforward. Follow these simple steps to get an understanding of your baby's growth:

  1. Enter Baby's Age: Input the baby's exact age in days. For example, if your baby is 2 months old, that's roughly 60 days (you can calculate this more precisely if needed, e.g., 30 days/month).
  2. Enter Baby's Weight: Provide the baby's current weight in kilograms (kg). Ensure you are using a reliable scale and have recorded the weight accurately.
  3. Select Baby's Sex: Choose 'Boy' or 'Girl' from the dropdown menu. Growth charts differ slightly between sexes.
  4. Click 'Calculate Percentile': Once all fields are filled, press the button.

How to Read Results:

  • Primary Result (Percentile): This is the main output, showing the percentile your baby's weight falls into. Remember, percentiles are comparative. The 50th percentile is the average. Percentiles between the 3rd and 97th are generally considered within the normal range.
  • Intermediate Values: These confirm the inputs you used (Weight, Age, Sex) and the calculated percentile.
  • Growth Chart: The visual chart plots your baby's position against key percentiles (3rd, 50th, 97th) for their age and sex. It helps to see the trend.
  • Growth Data Table: This provides a structured view of the data used for the calculation and chart.

Decision-Making Guidance:

  • Normal Range (e.g., 3rd-97th percentile): If your baby falls within this range, it generally indicates healthy growth. Focus on feeding cues and regular check-ups.
  • Consistently Below 3rd Percentile: If your baby is consistently below the 3rd percentile, or their weight gain seems very slow, it's important to consult your health visitor or GP. They can assess for underlying issues and offer support.
  • Consistently Above 97th Percentile: Similarly, if your baby is consistently above the 97th percentile, discuss this with your healthcare provider. They might check feeding patterns and overall development.
  • Rapid Changes in Percentile: A sudden jump or drop in percentile rank can sometimes signal a change in growth pattern that warrants medical attention.

Important Note: This calculator is a guide. Always discuss your baby's growth and any concerns with your healthcare professional. They have the full picture of your baby's health and development.

Key Factors That Affect Baby Weight Percentile Results

Several factors can influence a baby's weight and, consequently, their percentile ranking. Understanding these can provide a more nuanced view of your baby's growth:

  1. Gestational Age at Birth: Premature babies naturally start with lower birth weights and may take longer to "catch up" to their full-term peers. Their percentile trajectory will differ initially.
  2. Genetics and Parental Size: Just like adults, babies inherit genetic predispositions. Babies born to taller or larger parents may naturally trend towards higher percentiles, while those from smaller parents might trend lower.
  3. Feeding Method and Volume: Breastfed babies and formula-fed babies can have different weight gain patterns. The frequency, duration, and effectiveness of feeding (e.g., latch for breastfeeding) significantly impact weight gain.
  4. 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 burn more calories.
  5. Fluid Balance and Retention: Especially in the first few days, babies lose weight due to fluid loss. Later, temporary fluid retention can influence weight readings. Accurate, consistent weighing (e.g., after nappy change, before feeding) is key.
  6. Measurement Accuracy: The accuracy of the scale used and the consistency of weighing conditions (e.g., baby unclothed, same time of day) are crucial. Small errors can shift the percentile slightly.
  7. Growth Spurts and Plateaus: Babies don't grow in a perfectly linear fashion. They experience growth spurts where weight gain is rapid, followed by periods of slower gain or plateaus. This natural fluctuation affects percentile rankings over time.

While the baby weight percentile calculator NHS provides a valuable data point, these influencing factors help explain why a baby might be in a particular percentile and why tracking growth over time with a healthcare professional is more informative than a single reading.

Frequently Asked Questions (FAQ)

  • What is the most important percentile for my baby? There isn't one single "most important" percentile. The 50th is the average, but babies growing consistently along any percentile curve between the 3rd and 97th are typically considered healthy. The trend and consistency of growth are more critical than a single number.
  • My baby is in the 90th percentile. Should I be worried? Not necessarily. Being in the 90th percentile means your baby weighs more than 90% of babies of the same age and sex. If this is a consistent percentile for your baby and they are otherwise healthy and meeting developmental milestones, it's likely normal for them. Discuss any concerns with your health visitor.
  • My baby is in the 10th percentile. Is this okay? Similarly, the 10th percentile is within the normal range (above the 3rd). It indicates your baby weighs less than 90% of peers but more than 10%. Consistent growth along this curve is usually a sign of healthy development. Always consult your doctor if you have concerns about weight gain.
  • How often should I use the baby weight percentile calculator? It's best to use this calculator in conjunction with your baby's regular health check-ups. Health visitors and doctors use standardized charts and will track your baby's growth over multiple visits. Occasional checks at home can be reassuring, but don't obsess over daily fluctuations.
  • Does birth weight affect the percentile calculation? Birth weight is the starting point. The calculator uses the baby's *current* age and weight. However, the initial birth weight and whether the baby was premature or full-term are crucial context that healthcare professionals consider alongside the percentile.
  • Can I use this calculator for premature babies? This calculator is primarily designed for full-term babies using standard NHS growth charts. For premature babies, specific corrected-age growth charts are often used. Consult your paediatrician or neonatal specialist for guidance on premature infant growth.
  • What if my baby's weight gain seems too fast or too slow? This is a key reason to consult your healthcare provider. They can assess your baby's overall health, feeding patterns, and growth trajectory to determine if intervention or advice is needed. Rapid changes in percentile can be more significant than the percentile itself.
  • Are NHS growth charts the only ones available? The NHS in the UK uses growth charts based on World Health Organization (WHO) standards for younger infants and national standards for older children. While other countries might use slightly different charts, the principle of percentiles remains the same. This calculator aims to align with the common methodology used by the NHS.

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var chartInstance = null; // Global variable to hold chart instance function getGrowthData(ageInDays, sex) { // This is a simplified mock data source. Real NHS charts use complex LMS parameters. // Data is approximate and for demonstration purposes. // Sex: 0 = Boy, 1 = Girl var growthData = { boys: [ { days: 0, weight: 3.5, p3: 2.5, p50: 3.5, p97: 4.5 }, { days: 30, weight: 4.8, p3: 3.5, p50: 4.8, p97: 6.5 }, { days: 60, weight: 6.0, p3: 4.5, p50: 6.0, p97: 8.0 }, { days: 90, weight: 7.0, p3: 5.2, p50: 7.0, p97: 9.0 }, { days: 120, weight: 7.8, p3: 5.8, p50: 7.8, p97: 9.8 }, { days: 150, weight: 8.5, p3: 6.2, p50: 8.5, p97: 10.5 }, { days: 180, weight: 9.0, p3: 6.5, p50: 9.0, p97: 11.0 }, { days: 210, weight: 9.5, p3: 6.8, p50: 9.5, p97: 11.5 }, { days: 240, weight: 9.8, p3: 7.0, p50: 9.8, p97: 12.0 }, { days: 270, weight: 10.1, p3: 7.2, p50: 10.1, p97: 12.3 }, { days: 300, weight: 10.3, p3: 7.4, p50: 10.3, p97: 12.5 }, { days: 330, weight: 10.5, p3: 7.5, p50: 10.5, p97: 12.7 }, { days: 365, weight: 10.7, p3: 7.6, p50: 10.7, p97: 13.0 } ], girls: [ { days: 0, weight: 3.2, p3: 2.3, p50: 3.2, p97: 4.2 }, { days: 30, weight: 4.5, p3: 3.2, p50: 4.5, p97: 6.0 }, { days: 60, weight: 5.5, p3: 4.0, p50: 5.5, p97: 7.2 }, { days: 90, weight: 6.3, p3: 4.7, p50: 6.3, p97: 8.0 }, { days: 120, weight: 7.0, p3: 5.2, p50: 7.0, p97: 8.8 }, { days: 150, weight: 7.5, p3: 5.5, p50: 7.5, p97: 9.3 }, { days: 180, weight: 8.0, p3: 5.8, p50: 8.0, p97: 9.8 }, { days: 210, weight: 8.3, p3: 6.0, p50: 8.3, p97: 10.1 }, { days: 240, weight: 8.5, p3: 6.2, p50: 8.5, p97: 10.3 }, { days: 270, weight: 8.7, p3: 6.3, p50: 8.7, p97: 10.5 }, { days: 300, weight: 8.8, p3: 6.4, p50: 8.8, p97: 10.6 }, { days: 330, weight: 9.0, p3: 6.5, p50: 9.0, p97: 10.8 }, { days: 365, weight: 9.1, p3: 6.6, p50: 9.1, p97: 11.0 } ] }; var selectedData = (sex === 0) ? growthData.boys : growthData.girls; // Find the closest data point or interpolate var lowerBound = selectedData.reduce(function(prev, curr) { return (curr.days = ageInDays) ? curr : prev; }, selectedData[selectedData.length – 1]); if (lowerBound.days === upperBound.days) { return lowerBound; // Exact match found } // Simple linear interpolation var ageDiff = upperBound.days – lowerBound.days; var weightDiff = upperBound.weight – lowerBound.weight; var p3Diff = upperBound.p3 – lowerBound.p3; var p50Diff = upperBound.p50 – lowerBound.p50; var p97Diff = upperBound.p97 – lowerBound.p97; var fraction = (ageInDays – lowerBound.days) / ageDiff; var interpolatedWeight = lowerBound.weight + weightDiff * fraction; var interpolatedP3 = lowerBound.p3 + p3Diff * fraction; var interpolatedP50 = lowerBound.p50 + p50Diff * fraction; var interpolatedP97 = lowerBound.p97 + p97Diff * fraction; return { days: ageInDays, weight: interpolatedWeight, // This is the expected weight at this age p3: interpolatedP3, p50: interpolatedP50, p97: interpolatedP97 }; } function calculatePercentile() { var ageInput = document.getElementById("babyAge"); var weightInput = document.getElementById("babyWeight"); var sexInput = document.getElementById("babySex"); var age = parseFloat(ageInput.value); var weight = parseFloat(weightInput.value); var sex = parseInt(sexInput.value); // Clear previous errors document.getElementById("babyAgeError").textContent = ""; document.getElementById("babyWeightError").textContent = ""; var isValid = true; if (isNaN(age) || age <= 0) { document.getElementById("babyAgeError").textContent = "Please enter a valid age in days (must be positive)."; isValid = false; } if (isNaN(weight) || weight <= 0) { document.getElementById("babyWeightError").textContent = "Please enter a valid weight in kg (must be positive)."; isValid = false; } if (!isValid) { return; } var growthData = getGrowthData(age, sex); var actualWeight = weight; var expectedWeightAtAge = growthData.p50; // Use median as reference for percentile calculation var p3Weight = growthData.p3; var p97Weight = growthData.p97; var percentile = 0; // This is a simplified percentile calculation. Real charts use LMS parameters and Z-scores. // We'll approximate based on the position relative to p3, p50, p97. if (actualWeight < p3Weight) { percentile = Math.max(0, Math.round(((actualWeight – 0) / p3Weight) * 3)); // Rough estimate below 3rd } else if (actualWeight < expectedWeightAtAge) { percentile = Math.round(((actualWeight – p3Weight) / (expectedWeightAtAge – p3Weight)) * 47) + 3; // Between 3rd and 50th } else if (actualWeight < p97Weight) { percentile = Math.round(((actualWeight – expectedWeightAtAge) / (p97Weight – expectedWeightAtAge)) * 47) + 50; // Between 50th and 97th } else { percentile = Math.min(100, Math.round(((actualWeight – p97Weight) / (15 – p97Weight)) * 3) + 97); // Rough estimate above 97th (assuming max weight ~15kg) } percentile = Math.max(0, Math.min(100, percentile)); // Clamp between 0 and 100 document.getElementById("primaryResult").textContent = percentile + "th Percentile"; document.getElementById("weightKg").textContent = "Weight: " + actualWeight.toFixed(2) + " kg"; document.getElementById("ageDays").textContent = "Age: " + age.toFixed(0) + " days"; document.getElementById("sexValue").textContent = "Sex: " + (sex === 0 ? "Boy" : "Girl"); document.getElementById("percentileValue").textContent = "Percentile: " + percentile; document.getElementById("resultsContainer").style.display = "block"; // Update chart updateChart(age, actualWeight, p3Weight, expectedWeightAtAge, p97Weight, sex); document.getElementById("chartContainer").style.display = "block"; // Update table updateTable(age, actualWeight, sex, percentile); document.getElementById("dataTableContainer").style.display = "block"; } function updateChart(currentAge, currentWeight, p3Weight, p50Weight, p97Weight, sex) { var ctx = document.getElementById('growthChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } var labels = []; var p3Data = []; var p50Data = []; var p97Data = []; var currentAgeIndex = -1; var selectedData = (sex === 0) ? getGrowthData(0, 0) : getGrowthData(0, 1); // Get base data for structure var dataPoints = []; // Generate data points for the chart (e.g., every 30 days up to a year) for (var i = 0; i 0 && currentAge (index === currentAgeIndex ? currentWeight : null)), borderColor: 'rgba(40, 167, 69, 1)', // Success color backgroundColor: 'rgba(40, 167, 69, 1)', pointRadius: 6, pointHoverRadius: 8, showLine: false // Only show the point, not a connecting line }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Days)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2) + ' kg'; } return label; } } } } } }); } function updateTable(age, weight, sex, percentile) { var tableBody = document.querySelector("#growthTable tbody"); tableBody.innerHTML = "; // Clear existing rows var sexLabel = (sex === 0) ? "Boy" : "Girl"; // Add the current data row var row = tableBody.insertRow(); row.insertCell(0).textContent = age.toFixed(0); row.insertCell(1).textContent = weight.toFixed(2); row.insertCell(2).textContent = sexLabel; row.insertCell(3).textContent = percentile + "%"; // Add a few surrounding data points for context (optional) var dataPoints = getGrowthData(age, sex); // Get interpolated data for current age var allData = (sex === 0) ? growthData.boys : growthData.girls; // Find index of current age or closest var currentIndex = allData.findIndex(d => d.days >= age); if (currentIndex === -1) currentIndex = allData.length -1; // Add previous point if available if (currentIndex > 0) { var prevData = allData[currentIndex – 1]; var prevPercentile = calculateApproxPercentile(prevData.weight, prevData.p3, prevData.p50, prevData.p97); row = tableBody.insertRow(); row.insertCell(0).textContent = prevData.days; row.insertCell(1).textContent = prevData.weight.toFixed(2); row.insertCell(2).textContent = sexLabel; row.insertCell(3).textContent = prevPercentile + "%"; } // Add next point if available if (currentIndex < allData.length – 1) { var nextData = allData[currentIndex + 1]; var nextPercentile = calculateApproxPercentile(nextData.weight, nextData.p3, nextData.p50, nextData.p97); row = tableBody.insertRow(); row.insertCell(0).textContent = nextData.days; row.insertCell(1).textContent = nextData.weight.toFixed(2); row.insertCell(2).textContent = sexLabel; row.insertCell(3).textContent = nextPercentile + "%"; } // Sort rows by age var rows = Array.from(tableBody.rows); rows.sort(function(rowA, rowB) { return parseInt(rowA.cells[0].textContent) – parseInt(rowB.cells[0].textContent); }); rows.forEach(function(row) { tableBody.appendChild(row); }); } // Helper function to approximate percentile for table display function calculateApproxPercentile(actualWeight, p3Weight, p50Weight, p97Weight) { var percentile = 0; if (actualWeight < p3Weight) { percentile = Math.max(0, Math.round(((actualWeight – 0) / p3Weight) * 3)); } else if (actualWeight < p50Weight) { percentile = Math.round(((actualWeight – p3Weight) / (p50Weight – p3Weight)) * 47) + 3; } else if (actualWeight < p97Weight) { percentile = Math.round(((actualWeight – p50Weight) / (p97Weight – p50Weight)) * 47) + 50; } else { percentile = Math.min(100, Math.round(((actualWeight – p97Weight) / (15 – p97Weight)) * 3) + 97); } return Math.max(0, Math.min(100, percentile)); } function resetCalculator() { document.getElementById("babyAge").value = "90"; document.getElementById("babyWeight").value = "7.5"; document.getElementById("babySex").value = "0"; // Default to Boy document.getElementById("babyAgeError").textContent = ""; document.getElementById("babyWeightError").textContent = ""; document.getElementById("primaryResult").textContent = "–"; document.getElementById("weightKg").textContent = "Weight: — kg"; document.getElementById("ageDays").textContent = "Age: — days"; document.getElementById("sexValue").textContent = "Sex: –"; document.getElementById("percentileValue").textContent = "Percentile: –"; document.getElementById("resultsContainer").style.display = "none"; document.getElementById("chartContainer").style.display = "none"; document.getElementById("dataTableContainer").style.display = "none"; // Clear chart if it exists if (chartInstance) { chartInstance.destroy(); chartInstance = null; } } function copyResults() { var primaryResult = document.getElementById("primaryResult").textContent; var weight = document.getElementById("weightKg").textContent; var age = document.getElementById("ageDays").textContent; var sex = document.getElementById("sexValue").textContent; var percentile = document.getElementById("percentileValue").textContent; var assumptions = "Key Assumptions:\n"; assumptions += "- Growth data based on standard charts (e.g., NHS methodology).\n"; assumptions += "- Percentile is an approximation based on available data.\n"; var textToCopy = "Baby Weight Percentile Results:\n"; textToCopy += "———————————\n"; textToCopy += "Primary Result: " + primaryResult + "\n"; textToCopy += "Details:\n"; textToCopy += "- " + weight + "\n"; textToCopy += "- " + age + "\n"; textToCopy += "- " + sex + "\n"; textToCopy += "- Calculated Percentile: " + percentile + "\n\n"; textToCopy += assumptions; // Use a temporary textarea to copy text var tempTextArea = document.createElement("textarea"); tempTextArea.value = textToCopy; tempTextArea.style.position = "absolute"; tempTextArea.style.left = "-9999px"; // Move off-screen document.body.appendChild(tempTextArea); tempTextArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Failed to copy results.'; // Optionally show a temporary message to the user alert(msg); } catch (err) { alert('Failed to copy results. Please copy manually.'); } document.body.removeChild(tempTextArea); } // Initial calculation on load if default values are present document.addEventListener('DOMContentLoaded', function() { // Check if default values are set and calculate var ageInput = document.getElementById("babyAge"); var weightInput = document.getElementById("babyWeight"); if (ageInput.value && weightInput.value) { calculatePercentile(); } }); // Load Chart.js library dynamically if not already present function loadChartJs() { if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js'; script.onload = function() { console.log('Chart.js loaded.'); // Trigger initial calculation after Chart.js is loaded if (document.getElementById("babyAge").value && document.getElementById("babyWeight").value) { calculatePercentile(); } }; script.onerror = function() { console.error('Failed to load Chart.js'); }; document.head.appendChild(script); } else { // Chart.js is already loaded, trigger calculation if (document.getElementById("babyAge").value && document.getElementById("babyWeight").value) { calculatePercentile(); } } } // Call loadChartJs when the DOM is ready document.addEventListener('DOMContentLoaded', loadChartJs);

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