Newborn Weight Chart Calculator

Newborn Weight Chart Calculator & Guide :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –shadow-color: rgba(0, 0, 0, 0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; color: var(–text-color); background-color: var(–background-color); margin: 0; padding: 0; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: #fff; border-radius: 8px; box-shadow: 0 4px 15px var(–shadow-color); display: flex; flex-direction: column; align-items: center; } header { width: 100%; background-color: var(–primary-color); color: #fff; padding: 15px 0; text-align: center; border-radius: 8px 8px 0 0; margin-bottom: 20px; } header h1 { margin: 0; font-size: 2.2em; font-weight: 600; } h2, h3 { color: var(–primary-color); margin-top: 1.5em; margin-bottom: 0.8em; } .loan-calc-container { width: 100%; background-color: #fdfdfd; padding: 25px; border: 1px solid var(–border-color); 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Newborn Weight Chart Calculator

Track and understand your baby's growth percentile.

Newborn Weight Calculator

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

Growth Analysis

Calculated Percentile:

Growth Category:

Assumptions Used: Standard WHO/CDC growth charts.

Formula Basis: Comparison against established percentile curves from WHO/CDC growth standards.

Weight Percentile Chart

Weight percentile comparison over time for a selected sex.

Standard Newborn Weight Percentiles (Approximate)

Age (Days) 5th Percentile (kg) 50th Percentile (kg) 95th Percentile (kg)
Typical weight ranges for newborns at different percentiles.

What is a Newborn Weight Chart Calculator?

A Newborn Weight Chart Calculator is a specialized online tool designed to help parents, caregivers, and healthcare professionals assess how a baby's weight compares to established growth standards for their age and sex. It utilizes data from recognized growth charts, most commonly those provided by the World Health Organization (WHO) for infants up to two years old and the Centers for Disease Control and Prevention (CDC) for the United States. By inputting the baby's age in days and current weight, alongside their sex, the calculator can determine which percentile the baby falls into. This provides a standardized way to monitor healthy growth and identify potential concerns early on. Understanding your newborn weight chart calculator results is crucial for ensuring your baby is developing appropriately.

Who Should Use It?

This calculator is invaluable for:

  • New Parents and Caregivers: To gain peace of mind or identify areas to discuss with a pediatrician.
  • Pediatricians and Healthcare Providers: As a quick reference tool during check-ups to plot growth trajectories.
  • Lactation Consultants: To assess feeding effectiveness and weight gain patterns.
  • Researchers: For data collection and analysis related to infant growth.

Common Misconceptions

  • "Higher percentile is always better": Not necessarily. A consistent growth pattern within any percentile range is more important than hitting a specific high number. Rapid, excessive weight gain can also be a concern.
  • "My baby must be in the 50th percentile": This is a common misconception. The 50th percentile is simply the median, meaning half of babies of that age and sex weigh more, and half weigh less. Babies can be perfectly healthy in much lower or higher percentile ranges, as long as they are growing consistently.
  • "It's a diagnostic tool": While helpful for monitoring, it's not a substitute for professional medical evaluation. Significant deviations or rapid changes should always be discussed with a doctor.

Newborn Weight Chart Calculator Formula and Mathematical Explanation

The newborn weight chart calculator doesn't rely on a single, complex mathematical formula in the way a loan amortization calculator does. Instead, it performs a comparison. The core process involves matching the baby's age and weight against pre-defined data points (percentile curves) derived from large population studies.

The Process:

  1. Data Input: The user provides the baby's age (in days), weight (in kg), and sex.
  2. Data Lookup: The calculator accesses a dataset (often an array or lookup table) containing established weight percentiles for specific ages and sexes, based on sources like the WHO or CDC growth charts.
  3. Interpolation: Since the calculator might receive an age not explicitly listed in the dataset, it often uses interpolation to estimate the percentile value between two known data points. Linear interpolation is commonly used for this.
  4. Percentile Calculation: The calculator finds the weight data points corresponding to the baby's age and sex. It then determines where the baby's actual weight falls relative to these points.
  5. Classification: Based on the calculated percentile, the baby's growth is categorized (e.g., Underweight, Healthy Weight, Overweight, Obese, or specific percentile ranges).

Variables Used

While there isn't a single formula, the key inputs and reference points are:

Variable Meaning Unit Typical Range
Age Baby's age since birth Days 0 – 365 (for typical newborn to first year charts)
Weight Baby's current measured weight Kilograms (kg) 0.5 – 20 (approximate for first year)
Sex Baby's biological sex Categorical (Male/Female) Male, Female
Percentile The percentage of infants that weigh less than or equal to the measured weight. % 0 – 100
Growth Standard Data Pre-calculated weight-for-age data points from WHO/CDC charts. Kilograms (kg) Varies based on age and percentile

Practical Examples (Real-World Use Cases)

Let's illustrate with a couple of scenarios using the newborn weight chart calculator:

Example 1: Healthy Weight Gain

Scenario: A baby boy named Leo is exactly 10 days old and weighs 3.8 kg. His parents are tracking his growth after birth.

  • Inputs:
    • Age: 10 days
    • Weight: 3.8 kg
    • Sex: Male
  • Calculator Output:
    • Calculated Percentile: Approximately 65th percentile
    • Growth Category: Healthy Weight (or within acceptable range)
    • Main Result: 65th Percentile
  • Interpretation: Leo weighs more than 65% of baby boys his age according to the standard growth charts. This indicates healthy weight gain and development for his age and sex. His parents can continue their current feeding and care routine, monitoring as usual.

Example 2: Concerns about Low Weight

Scenario: Baby girl Maya is 14 days old and weighs 2.9 kg. Her parents are worried because she seems small.

  • Inputs:
    • Age: 14 days
    • Weight: 2.9 kg
    • Sex: Female
  • Calculator Output:
    • Calculated Percentile: Approximately 3rd percentile
    • Growth Category: Low Weight (or needs monitoring)
    • Main Result: 3rd Percentile
  • Interpretation: Maya weighs less than 3% of baby girls her age according to the standard charts. While some babies are naturally smaller, falling below the 5th percentile warrants a discussion with a pediatrician. This might indicate a need to investigate feeding patterns, potential health issues, or simply reassure the parents if the doctor confirms she is following her own consistent growth curve. This newborn weight chart calculator highlights the need for professional consultation.

How to Use This Newborn Weight Chart Calculator

Using this tool is straightforward and designed for quick insights:

  1. Input Baby's Age: Enter the baby's age in days. Be precise – for example, 7 days for one week old, 14 days for two weeks old.
  2. Input Baby's Weight: Enter the baby's most recent weight measurement in kilograms (kg). Ensure the unit is correct.
  3. Select Baby's Sex: Choose either 'Male' or 'Female' from the dropdown menu. Growth charts often differ slightly between sexes.
  4. Click 'Calculate': Press the button to process the information.

How to Read Results

  • Main Result (Percentile): This is the key number. A percentile indicates the percentage of babies of the same age and sex who weigh the same or less than your baby. For instance, the 50th percentile means your baby weighs the same as half of the babies in the reference group. The 90th percentile means your baby weighs more than 90% of babies their age and sex.
  • Growth Category: This provides a quick classification (e.g., Healthy Weight, Low Weight, High Weight) based on standard percentile ranges. These are general guidelines.
  • Intermediate Values: You'll see the exact percentile value and the category.
  • Assumptions: The calculator relies on standard growth charts (like WHO or CDC).

Decision-Making Guidance

  • Consistency is Key: A single measurement is a snapshot. Consistent tracking over time is more informative. Look for a smooth curve on a growth chart rather than just one number.
  • Consult Your Pediatrician: Always discuss your baby's growth with their doctor. They can interpret the percentile in the context of your baby's overall health, birth weight, length, head circumference, and family history.
  • Don't Overreact: A percentile isn't a judgment. A baby consistently at the 10th percentile is growing well if they stay around the 10th percentile. A baby dropping rapidly from the 75th to the 25th percentile might require investigation.

Key Factors That Affect Newborn Weight Results

Several factors influence a newborn's weight and its percentile ranking. Understanding these helps provide context to the newborn weight chart calculator results:

  1. Genetics: Just like adults, babies inherit predispositions for size from their parents. Parents who were larger babies might have larger newborns.
  2. Gestational Age at Birth: Premature babies will naturally weigh less than full-term babies of the same chronological age. The calculator assumes full term.
  3. Infant Feeding: Breast milk and formula provide essential nutrients. The quantity and frequency of feeding directly impact weight gain. Effective latching and milk transfer are crucial for breastfed babies.
  4. Maternal Health During Pregnancy: Conditions like gestational diabetes can affect fetal growth (potentially leading to macrosomia – larger babies), while other maternal health issues or poor nutrition can result in lower birth weight.
  5. Infant Health Conditions: Certain medical conditions in newborns, such as prematurity complications, infections, or metabolic disorders, can affect their ability to gain weight appropriately.
  6. Birth Order: Sometimes, firstborns tend to be slightly smaller than subsequent siblings, although this is not a universal rule and varies greatly.
  7. Environmental Factors: While less significant in the immediate newborn period compared to later childhood, factors like exposure to certain toxins or stress levels can have subtle impacts.

Frequently Asked Questions (FAQ)

Q1: What is the ideal percentile for my newborn? There isn't one "ideal" percentile. The most important factor is that your baby is growing consistently along their own curve. Whether it's the 10th, 50th, or 90th percentile, a steady upward trend is generally a positive sign. Consult your pediatrician for personalized advice.

Q2: My baby was born early. Should I still use this calculator? This calculator is primarily designed for full-term infants using standard charts. For premature babies, it's best to use specialized prematurity growth charts or consult with your neonatologist or pediatrician, as their growth trajectory differs significantly.

Q3: How often should I use the newborn weight chart calculator? You can use it whenever you have an accurate weight measurement. Many parents track weekly or bi-weekly during the first few months, or specifically after check-ups. Frequent, accurate measurements are key.

Q4: What if my baby's weight fluctuates slightly? Newborns can experience minor fluctuations, especially in the first few days (initial weight loss is normal). Focus on the overall trend over weeks rather than daily changes. Consistent gain after the initial period is the goal.

Q5: Can this calculator predict future weight? No, this calculator provides a snapshot based on current data and historical growth charts. It does not predict future weight, as many factors influence growth over time.

Q6: Does the calculator account for height? This specific calculator focuses on weight-for-age percentiles. More comprehensive growth assessments also consider length (height) and head circumference. Some advanced tools might incorporate these, but this one uses the standard weight-based charts.

Q7: My baby seems small but is in a higher percentile. What does that mean? This suggests your baby is large compared to other babies of the same age and sex. If they *look* small to you, it might be because you are comparing them to other babies visually, or perhaps they are lean. However, the percentile is the objective measure based on the standard charts. Always trust your pediatrician's assessment over visual comparison.

Q8: What are the limitations of growth charts? Growth charts represent averages from large populations and may not perfectly reflect every individual child's genetic potential or unique circumstances. They are tools for monitoring, not rigid targets. Ethnic and genetic variations can also mean that a "typical" growth curve for one population might differ slightly for another.

Related Tools and Internal Resources

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// Data for WHO/CDC growth charts (simplified for demonstration) // These are approximate values and real charts are more detailed curves. // Structure: age_in_days: { male: { p5, p50, p95 }, female: { p5, p50, p95 } } var growthData = { 1: { male: { p5: 2.6, p50: 3.2, p95: 4.5 }, female: { p5: 2.5, p50: 3.1, p95: 4.4 } }, 3: { male: { p5: 2.8, p50: 3.5, p95: 4.8 }, female: { p5: 2.7, p50: 3.4, p95: 4.7 } }, 7: { male: { p5: 3.0, p50: 3.8, p95: 5.1 }, female: { p5: 2.9, p50: 3.7, p95: 5.0 } }, 10: { male: { p5: 3.2, p50: 4.0, p95: 5.3 }, female: { p5: 3.1, p50: 3.9, p95: 5.2 } }, 14: { male: { p5: 3.4, p50: 4.2, p95: 5.6 }, female: { p5: 3.3, p50: 4.1, p95: 5.5 } }, 21: { male: { p5: 3.7, p50: 4.6, p95: 6.0 }, female: { p5: 3.6, p50: 4.5, p95: 5.9 } }, 28: { male: { p5: 3.9, p50: 4.8, p95: 6.3 }, female: { p5: 3.8, p50: 4.7, p95: 6.2 } }, 30: { male: { p5: 4.0, p50: 4.9, p95: 6.4 }, female: { p5: 3.9, p50: 4.8, p95: 6.3 } }, // Approx 1 month 45: { male: { p5: 4.5, p50: 5.5, p95: 7.0 }, female: { p5: 4.4, p50: 5.4, p95: 6.9 } }, // Approx 1.5 months 60: { male: { p5: 5.0, p50: 6.0, p95: 7.5 }, female: { p5: 4.9, p50: 5.9, p95: 7.4 } }, // Approx 2 months 90: { male: { p5: 5.8, p50: 7.0, p95: 8.5 }, female: { p5: 5.7, p50: 6.9, p95: 8.4 } }, // Approx 3 months 120: { male: { p5: 6.5, p50: 7.8, p95: 9.5 }, female: { p5: 6.4, p50: 7.7, p95: 9.4 } }, // Approx 4 months 180: { male: { p5: 7.5, p50: 9.0, p95: 11.0 }, female: { p5: 7.4, p50: 8.9, p95: 10.9 } }, // Approx 6 months 270: { male: { p5: 8.5, p50: 10.5, p95: 12.5 }, female: { p5: 8.4, p50: 10.4, p95: 12.4 } }, // Approx 9 months 330: { male: { p5: 9.0, p50: 11.0, p95: 13.0 }, female: { p5: 8.9, p50: 10.9, p95: 12.9 } }, // Approx 11 months 365: { male: { p5: 9.5, p50: 11.5, p95: 14.0 }, female: { p5: 9.4, p50: 11.4, p95: 13.9 } } // Approx 1 year }; var chartInstance = null; // Global variable to hold chart instance function getPercentileData(age, sex) { var ageDays = parseInt(age); var sexType = sex.toLowerCase(); if (isNaN(ageDays) || ageDays <= 0 || !growthData[ageDays]) { // Find nearest available age data if exact match not found var sortedAges = Object.keys(growthData).map(Number).sort(function(a, b) { return a – b; }); var lowerAge = sortedAges.filter(function(a) { return a = ageDays; }).shift(); if (lowerAge === undefined && upperAge === undefined) return null; // No data available if (lowerAge === undefined) { // Age is before the first data point return growthData[upperAge][sexType]; } if (upperAge === undefined) { // Age is after the last data point return growthData[lowerAge][sexType]; } if (lowerAge === upperAge) { // Exact match found through filtering return growthData[lowerAge][sexType]; } // Linear Interpolation var lowerData = growthData[lowerAge][sexType]; var upperData = growthData[upperAge][sexType]; var fraction = (ageDays – lowerAge) / (upperAge – lowerAge); var interpolatedP5 = lowerData.p5 + fraction * (upperData.p5 – lowerData.p5); var interpolatedP50 = lowerData.p50 + fraction * (upperData.p50 – lowerData.p50); var interpolatedP95 = lowerData.p95 + fraction * (upperData.p95 – lowerData.p95); return { p5: interpolatedP5, p50: interpolatedP50, p95: interpolatedP95 }; } return growthData[ageDays][sexType]; } function calculateWeightPercentile() { var ageInput = document.getElementById("age"); var weightInput = document.getElementById("weight"); var sexInput = document.getElementById("sex"); var ageError = document.getElementById("ageError"); var weightError = document.getElementById("weightError"); var sexError = document.getElementById("sexError"); // Although select doesn't usually error, good practice var resultsContainer = document.getElementById("results-container"); var mainResult = document.getElementById("mainResult"); var percentileValue = document.getElementById("percentileValue"); var growthCategory = document.getElementById("growthCategory"); var chartContainer = document.getElementById("chart-container"); var tableContainer = document.getElementById("table-container"); // Reset errors ageError.textContent = ""; ageError.classList.remove("visible"); weightError.textContent = ""; weightError.classList.remove("visible"); sexError.textContent = ""; sexError.classList.remove("visible"); var age = parseFloat(ageInput.value); var weight = parseFloat(weightInput.value); var sex = sexInput.value; var isValid = true; if (isNaN(age) || age 365) { // Limit to 1 year for this simplified dataset ageError.textContent = "Age data only available up to 1 year (365 days) for this calculator."; ageError.classList.add("visible"); isValid = false; } if (isNaN(weight) || weight 15) { // Upper reasonable limit for 1 year old weightError.textContent = "Weight seems unusually high for a baby under 1 year."; weightError.classList.add("visible"); // Don't set isValid = false here, var it calculate but warn } else if (weight < 0.5) { // Lower reasonable limit for a baby weightError.textContent = "Weight seems unusually low for a baby."; weightError.classList.add("visible"); // Don't set isValid = false here, var it calculate but warn } if (sex !== "male" && sex !== "female") { sexError.textContent = "Please select a valid sex."; sexError.classList.add("visible"); isValid = false; } if (!isValid) { resultsContainer.style.display = "none"; chartContainer.style.display = "none"; tableContainer.style.display = "none"; return; } var percentileInfo = getPercentileData(age, sex); if (!percentileInfo) { resultsContainer.style.display = "none"; chartContainer.style.display = "none"; tableContainer.style.display = "none"; // Optionally show a message that data is unavailable for this age return; } var p5 = percentileInfo.p5; var p50 = percentileInfo.p50; var p95 = percentileInfo.p95; var calculatedPercentile = 0; var growthCat = ""; // Determine percentile rank based on input weight if (weight < p5) { calculatedPercentile = Math.round(((weight – 0.5) / (p5 – 0.5)) * 5); // Rough estimation below p5 growthCat = "Below 5th Percentile (Low Weight)"; } else if (weight < p50) { calculatedPercentile = Math.round(5 + ((weight – p5) / (p50 – p5)) * 45); // Between 5th and 50th growthCat = "5th – 50th Percentile (Healthy Weight)"; } else if (weight < p95) { calculatedPercentile = Math.round(50 + ((weight – p50) / (p95 – p50)) * 45); // Between 50th and 95th growthCat = "50th – 95th Percentile (Healthy Weight)"; } else { calculatedPercentile = Math.round(95 + ((weight – p95) / (p95 + 1)) * 5); // Rough estimation above p95 growthCat = "Above 95th Percentile (High Weight)"; } // Ensure percentile is within 0-100 bounds calculatedPercentile = Math.max(0, Math.min(100, calculatedPercentile)); // Adjust categories slightly for clarity if(calculatedPercentile < 3) growthCat = "Significantly Low Weight"; else if(calculatedPercentile 95) growthCat = "High Weight"; else if(calculatedPercentile > 97) growthCat = "Significantly High Weight"; else growthCat = "Healthy Weight Range"; mainResult.textContent = calculatedPercentile + "th Percentile"; percentileValue.textContent = calculatedPercentile + "%"; growthCategory.textContent = growthCat; resultsContainer.style.display = "block"; updateChart(age, weight, sex); updateTable(age, sex); chartContainer.style.display = "block"; tableContainer.style.display = "block"; } function updateChart(currentAge, currentWeight, currentSex) { var canvas = document.getElementById('weightChart'); var ctx = canvas.getContext('2d'); // Clear previous chart if (chartInstance) { chartInstance.destroy(); } var chartLabels = []; var p5Data = []; var p50Data = []; var p95Data = []; var inputWeightData = []; // Data point for the user's input // Generate data points for the chart (e.g., every 30 days up to 365) var daysToChart = [1, 7, 14, 28, 60, 90, 120, 180, 270, 330, 365]; var foundInputPoint = false; for (var i = 0; i 0 && currentAge <= 365) { var inputData = getPercentileData(currentAge, currentSex); if (inputData) { chartLabels.push(currentAge + " days"); p5Data.push(inputData.p5); p50Data.push(inputData.p50); p95Data.push(inputData.p95); inputWeightData.push(currentWeight); // Re-sort labels and data if input point was added out of order var combined = []; for(var j=0; j<chartLabels.length; j++) { combined.push({label: chartLabels[j], p5: p5Data[j], p50: p50Data[j], p95: p95Data[j], weight: inputWeightData[j]}); } combined.sort(function(a, b) { return parseInt(a.label.split(' ')[0]) – parseInt(b.label.split(' ')[0]); }); chartLabels = combined.map(function(item) { return item.label; }); p5Data = combined.map(function(item) { return item.p5; }); p50Data = combined.map(function(item) { return item.p50; }); p95Data = combined.map(function(item) { return item.p95; }); inputWeightData = combined.map(function(item) { return item.weight; }); } } // Prepare dataset for the user's input weight, connecting points var userDataPoints = []; for (var k = 0; k < chartLabels.length; k++) { if (inputWeightData[k] !== null) { userDataPoints.push({ x: k, y: inputWeightData[k] }); } } chartInstance = new Chart(ctx, { type: 'line', data: { labels: chartLabels, datasets: [ { label: '5th Percentile', data: p5Data, borderColor: 'rgba(255, 99, 132, 1)', // Light Red borderWidth: 1, fill: false, tension: 0.1 }, { label: '50th Percentile (Median)', data: p50Data, borderColor: 'rgba(54, 162, 235, 1)', // Blue borderWidth: 1, fill: false, tension: 0.1 }, { label: '95th Percentile', data: p95Data, borderColor: 'rgba(75, 192, 192, 1)', // Green borderWidth: 1, fill: false, tension: 0.1 }, { label: 'Baby\'s Weight', data: inputWeightData, // Use inputWeightData directly borderColor: 'rgba(255, 159, 64, 1)', // Orange borderWidth: 2, pointRadius: 4, fill: false, tension: 0.1, showLine: true // Ensure line is drawn } ] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: false, title: { display: true, text: 'Weight (kg)' } }, x: { title: { display: true, text: 'Age (Days)' } } }, 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; } } }, legend: { position: 'top', } } } }); } function updateTable(currentAge, currentSex) { var tableBody = document.querySelector("#percentileTable tbody"); tableBody.innerHTML = ""; // Clear existing rows var agesToShow = [1, 7, 14, 28, 60, 90, 120, 180, 270, 330, 365]; // Days for (var i = 0; i < agesToShow.length; i++) { var age = agesToShow[i]; var data = getPercentileData(age, currentSex); if (data) { var row = tableBody.insertRow(); var cellAge = row.insertCell(0); var cellP5 = row.insertCell(1); var cellP50 = row.insertCell(2); var cellP95 = row.insertCell(3); cellAge.textContent = age + " days"; cellP5.textContent = data.p5.toFixed(2); cellP50.textContent = data.p50.toFixed(2); cellP95.textContent = data.p95.toFixed(2); } } } function resetCalculator() { document.getElementById("age").value = 7; document.getElementById("weight").value = 3.5; document.getElementById("sex").value = "male"; document.getElementById("ageError").textContent = ""; document.getElementById("ageError").classList.remove("visible"); document.getElementById("weightError").textContent = ""; document.getElementById("weightError").classList.remove("visible"); document.getElementById("sexError").textContent = ""; document.getElementById("sexError").classList.remove("visible"); document.getElementById("results-container").style.display = "none"; document.getElementById("chart-container").style.display = "none"; document.getElementById("table-container").style.display = "none"; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } } function copyResults() { var mainResultText = document.getElementById("mainResult").textContent; var percentileValueText = document.getElementById("percentileValue").textContent; var growthCategoryText = document.getElementById("growthCategory").textContent; var ageInput = document.getElementById("age").value; var weightInput = document.getElementById("weight").value; var sexInput = document.getElementById("sex").value; if (mainResultText === '–') { alert("Please calculate results first before copying."); return; } var textToCopy = "Newborn Weight Analysis:\n\n"; textToCopy += "Inputs:\n"; textToCopy += "- Age: " + ageInput + " days\n"; textToCopy += "- Weight: " + weightInput + " kg\n"; textToCopy += "- Sex: " + sexInput.charAt(0).toUpperCase() + sexInput.slice(1) + "\n\n"; textToCopy += "Results:\n"; textToCopy += "- Growth Percentile: " + mainResultText + "\n"; textToCopy += "- Percentile Value: " + percentileValueText + "\n"; textToCopy += "- Growth Category: " + growthCategoryText + "\n"; textToCopy += "- Assumptions: Based on WHO/CDC growth standards.\n"; if (navigator.clipboard && window.isSecureContext) { navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy text: ', err); fallbackCopyTextToClipboard(textToCopy); // Fallback for older browsers/non-secure contexts }); } else { fallbackCopyTextToClipboard(textToCopy); } } function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position="fixed"; textArea.style.top = "0"; textArea.style.left = "0"; textArea.style.width = "2em"; textArea.style.height = "2em"; textArea.style.padding = "0"; textArea.style.border = "none"; textArea.style.outline = "none"; textArea.style.boxShadow = "none"; textArea.style.background = "transparent"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Copying text command was unsuccessful'; alert(msg); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Failed to copy results. Please copy manually.'); } document.body.removeChild(textArea); } // Initial calculation and chart/table load on page load document.addEventListener('DOMContentLoaded', function() { // Load Chart.js library dynamically var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.9.1/dist/chart.min.js'; // Using CDN for Chart.js script.onload = function() { calculateWeightPercentile(); // Perform initial calculation after chart lib is loaded }; document.head.appendChild(script); // Add event listeners for real-time updates (optional, but good UX) document.getElementById("age").addEventListener("input", calculateWeightPercentile); document.getElementById("weight").addEventListener("input", calculateWeightPercentile); document.getElementById("sex").addEventListener("change", calculateWeightPercentile); });

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