Average Baby Weight Chart Calculator

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Average Baby Weight Chart Calculator

Understand Your Baby's Growth Milestones

Baby Weight Comparison Tool

Enter the baby's age in completed months (0-24 months).
Enter the baby's current weight in kilograms.
Male Female

Your Baby's Weight Comparison

This calculator compares your baby's weight to WHO (World Health Organization) growth standards based on age and sex. The primary result shows the weight percentile, indicating how your baby's weight compares to others of the same age and sex.

Baby Weight Percentile Chart Data

WHO Growth Standards – Weight-for-Age (Selected Percentiles)
Age (Months) Sex 3rd Percentile (kg) 15th Percentile (kg) 50th Percentile (kg) 85th Percentile (kg) 97th Percentile (kg)
Visualizing Weight Percentiles by Age

What is an Average Baby Weight Chart?

An average baby weight chart calculator is a tool designed to help parents and healthcare providers understand where a baby's weight falls in relation to established growth standards. These charts, often based on data from organizations like the World Health Organization (WHO) or the Centers for Disease Control and Prevention (CDC), plot typical weight ranges for babies by age and sex. They are crucial for monitoring a baby's healthy development, identifying potential concerns like underweight or overweight issues early on, and ensuring adequate nutrition and growth.

Who should use it?

  • Parents: To gain peace of mind and a better understanding of their baby's growth trajectory.
  • Pediatricians and Healthcare Providers: As a standard tool for routine check-ups to assess a baby's nutritional status and overall health.
  • Lactation Consultants and Nutritionists: To evaluate feeding effectiveness and make recommendations.

Common Misconceptions:

  • "My baby is below the average, so something is wrong." Not necessarily. Babies grow at different rates. Being below the 50th percentile (the median average) doesn't automatically mean a baby is unhealthy, as long as they are following their own growth curve and are within a healthy percentile range (typically between the 3rd and 97th percentiles).
  • "All babies of the same age should weigh the same." This is false. There's a wide range of normal weights due to genetics, birth weight, feeding patterns, activity levels, and overall health.
  • "The chart is the only indicator of health." While important, weight is just one aspect. Overall health, development milestones, energy levels, and doctor's assessments are equally vital.

Baby Weight Chart Formula and Mathematical Explanation

The core of an average baby weight chart calculator relies on comparing the baby's measured weight and age against statistical data, typically presented as percentiles. The most common method uses data from growth charts, like those provided by the WHO, which are based on extensive studies of healthy, breastfed infants.

How it works:

Instead of a single complex formula to *calculate* a percentile from scratch (which often requires complex statistical models or lookup tables), the calculator primarily *looks up* the baby's position relative to predefined percentile curves. For a given age and sex, the chart provides specific weight values corresponding to different percentiles (e.g., 3rd, 15th, 50th, 85th, 97th).

The calculator performs these steps:

  1. Input Validation: Ensure age (months) and weight (kg) are valid positive numbers within reasonable ranges, and sex is selected.
  2. Data Lookup: Find the row in the WHO growth data that matches the baby's age and sex.
  3. Interpolation (if needed): If the baby's exact age isn't listed, the calculator might interpolate between the nearest two age points. Similarly, if the baby's weight falls between two listed percentiles, the calculator determines which percentile it's closest to or falls between.
  4. Percentile Calculation: The calculator determines the percentile rank. This is often done by finding the weight value from the chart that corresponds to the baby's age and sex, and then determining where the baby's actual weight falls relative to the 50th percentile (median) and the spread of other percentiles. A simplified approach is to find the closest percentile value in the table. A more precise method involves statistical functions (like the LMS method used by WHO/CDC) which are complex and usually pre-calculated into tables or software libraries. For this calculator, we'll approximate by finding the closest match or range.
  5. Growth Status Determination: Based on the calculated percentile, the calculator categorizes the baby's weight status (e.g., Underweight, Healthy Weight, Overweight, Obese) using standard WHO definitions.
  6. Variables Table:

    Variables Used in Baby Weight Comparison
    Variable Meaning Unit Typical Range
    Baby's Age Age of the infant since birth Months 0 – 24
    Baby's Weight Current measured weight of the infant Kilograms (kg) 0.5 – 15+ (highly variable)
    Baby's Sex Biological sex of the infant Categorical (Male/Female) Male, Female
    Percentile The value below which a certain percentage of observations fall % 0 – 100
    WHO Growth Standards Reference data for healthy infant growth N/A Predefined tables/curves

    Practical Examples (Real-World Use Cases)

    Understanding how the average baby weight chart calculator works in practice is key. Here are a couple of scenarios:

    Example 1: A Growing Six-Month-Old

    • Inputs:
      • Baby's Age: 6 months
      • Baby's Weight: 7.8 kg
      • Baby's Sex: Female
    • Calculator Output:
      • Primary Result: 50th Percentile
      • Comparison: Your baby's weight is right at the average for her age and sex.
      • Growth Status: Healthy Weight
    • Interpretation: This baby is growing exactly as expected according to the WHO standards. Her weight is typical for a 6-month-old female. This indicates good feeding and overall health.

    Example 2: A Big Baby Boy

    • Inputs:
      • Baby's Age: 9 months
      • Baby's Weight: 11.5 kg
      • Baby's Sex: Male
    • Calculator Output:
      • Primary Result: 90th Percentile
      • Comparison: Your baby's weight is higher than 90% of baby boys his age.
      • Growth Status: Approaching Overweight / Overweight (depending on specific chart thresholds)
    • Interpretation: This baby boy is on the larger side, weighing more than 90% of his peers. While he might be a healthy, robust baby, it's worth discussing with a pediatrician to ensure his growth is proportionate and sustainable. They might check length and head circumference as well, and discuss feeding habits.

    Example 3: A Premature Baby Catching Up

    • Inputs:
      • Baby's Age: 4 months (corrected age might be considered, but calculator uses chronological)
      • Baby's Weight: 5.2 kg
      • Baby's Sex: Male
    • Calculator Output:
      • Primary Result: 10th Percentile
      • Comparison: Your baby's weight is lower than average for his age, but within a healthy range.
      • Growth Status: Healthy Weight
    • Interpretation: This baby is smaller than the average 4-month-old boy. If the baby was born prematurely, this might be expected as he "catches up." As long as he is gaining weight consistently and meeting other developmental milestones, this percentile is likely fine. A pediatrician's guidance is crucial here.

    How to Use This Average Baby Weight Chart Calculator

    Using the average baby weight chart calculator is straightforward. Follow these steps to get a clear picture of your baby's growth:

    1. Step 1: Gather Information
      • Know your baby's exact age in completed months.
      • Have your baby's most recent weight measurement in kilograms (kg). Ensure the scale is accurate and calibrated.
      • Know your baby's sex (Male or Female).
    2. Step 2: Input Data
      • Enter the baby's age in months into the "Baby's Age" field.
      • Enter the baby's weight in kilograms into the "Baby's Weight" field.
      • Select the correct sex from the dropdown menu.
    3. Step 3: Calculate Comparison

      Click the "Calculate Comparison" button. The calculator will process the information instantly.

    4. Step 4: Read the Results
      • Primary Result (Percentile): This is the main output, showing the percentile your baby falls into (e.g., 50th Percentile). A higher percentile means the baby weighs more relative to others of the same age and sex.
      • Comparison Text: Provides a simple interpretation of the percentile (e.g., "Average weight," "Lower than average," "Higher than average").
      • Growth Status: Categorizes the weight relative to standard definitions (e.g., Healthy Weight, Underweight, Overweight).
      • Chart & Table: Review the accompanying chart and table to see how your baby's weight compares visually and numerically across different percentiles and ages.
    5. Step 5: Decision-Making Guidance
      • Healthy Range: Generally, babies between the 3rd and 97th percentiles are considered within a healthy growth range.
      • Consult a Pediatrician: If your baby falls outside this range, or if their growth pattern changes suddenly (e.g., drops or jumps significantly across percentiles), it's essential to consult your pediatrician. They can provide personalized advice based on your baby's overall health, feeding, and development.
      • Don't Panic: Remember that these are statistical averages. Individual variations are normal. Focus on consistent growth and your baby's overall well-being.

    Use the "Reset" button to clear the fields and perform a new calculation. The "Copy Results" button allows you to save or share the key findings.

    Key Factors That Affect Baby Weight Results

    While the average baby weight chart calculator provides a valuable snapshot, several factors influence a baby's weight gain and position on the growth chart. Understanding these can provide context to the results:

    1. Genetics: Just like adults, babies inherit predispositions for body size and growth rate. Parents who are taller or larger may have babies who naturally trend towards higher percentiles.
    2. Birth Weight and Gestational Age: Premature babies often start with lower weights and may take longer to "catch up" to their full-term peers. Their growth trajectory might be assessed differently, sometimes using corrected age.
    3. Feeding Method and Adequacy:
      • Breastfeeding: Supply and demand play a role. Effective latching and frequent feeding are key. Sometimes, babies may need supplementation if weight gain is insufficient.
      • Formula Feeding: Ensuring the correct preparation and amount of formula is crucial. Overfeeding or underfeeding can impact weight.
    4. Infant's Health and Medical Conditions: Underlying health issues, such as digestive problems (e.g., reflux, malabsorption), metabolic disorders, or chronic illnesses, can significantly affect weight gain.
    5. Activity Level: As babies become more mobile (rolling, crawling, walking), they burn more calories, which can influence their weight gain rate.
    6. Sleep Patterns: Adequate sleep is linked to healthy growth hormones. Disrupted sleep can sometimes indirectly affect feeding and weight gain.
    7. Maternal Health During Pregnancy: Factors like maternal nutrition, gestational diabetes, or infections during pregnancy can influence fetal growth and birth weight, setting the initial stage for the baby's growth curve.
    8. Introduction of Solids: When solid foods are introduced (typically around 6 months), the types and quantities of food can impact weight gain, alongside continued milk intake.

    Frequently Asked Questions (FAQ)

    Q1: What is the 50th percentile for baby weight?

    A: The 50th percentile represents the median weight. This means that 50% of babies of the same age and sex weigh less than this value, and 50% weigh more. It's often considered the "average" weight.

    Q2: Is it bad if my baby is below the 10th percentile?

    A: Not necessarily. A baby below the 10th percentile is still considered within the healthy range (typically 3rd-97th percentile) as long as they are growing consistently along their own curve and meeting developmental milestones. However, it warrants discussion with a pediatrician to rule out any underlying issues and ensure adequate nutrition.

    Q3: How often should I measure my baby's weight for the chart?

    A: For routine check-ups, follow your pediatrician's schedule (often monthly for young infants, then less frequently). Avoid frequent, obsessive weighing at home, as daily fluctuations are normal and can cause unnecessary worry. Focus on trends over time.

    Q4: Does the calculator account for premature babies?

    A: This calculator uses chronological age (age since birth). For premature babies, it's often recommended to use "corrected age" (age from the due date) for developmental milestones, but weight charts typically use chronological age initially. Always consult your pediatrician for guidance on growth charts for preemies.

    Q5: My baby's weight jumped from the 50th to the 85th percentile. Should I be concerned?

    A: A significant jump across percentiles warrants a conversation with your pediatrician. While rapid growth can be normal during certain phases, a sudden shift might indicate changes in feeding, metabolism, or other factors that need evaluation.

    Q6: What's the difference between WHO and CDC growth charts?

    A: The WHO charts are generally used for infants and children from birth to 2 years old, based on data from breastfed infants in six countries. The CDC charts are often used for children aged 2 and older in the US, and they extend the WHO data. For babies under 2, the WHO charts are widely considered the global standard.

    Q7: Can I use pounds (lbs) instead of kilograms (kg)?

    A: This specific calculator requires weight in kilograms (kg). You can use an online converter (1 kg ≈ 2.20462 lbs) to convert your baby's weight before entering it.

    Q8: How accurate are these charts for tracking growth?

    A: The WHO growth charts are based on extensive scientific data and are considered highly reliable for assessing the growth of healthy infants and children worldwide. However, they are tools to guide assessment, not definitive judgments.

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var chart = null; // Declare chart globally function validateInput(id, errorId, min, max, isRequired = true) { var input = document.getElementById(id); var errorElement = document.getElementById(errorId); var value = input.value.trim(); var numValue = parseFloat(value); errorElement.textContent = "; // Clear previous error if (isRequired && value === ") { errorElement.textContent = 'This field is required.'; return false; } if (value !== " && isNaN(numValue)) { errorElement.textContent = 'Please enter a valid number.'; return false; } if (value !== " && numValue max) { errorElement.textContent = 'Value cannot be greater than ' + max + '.'; return false; } return true; } function calculateWeight() { var babyAge = parseFloat(document.getElementById('babyAge').value); var babyWeight = parseFloat(document.getElementById('babyWeight').value); var babySex = document.getElementById('babySex').value; var ageError = document.getElementById('babyAgeError'); var weightError = document.getElementById('babyWeightError'); var sexError = document.getElementById('babySexError'); // Though select doesn't usually need error // Clear previous errors ageError.textContent = "; weightError.textContent = "; sexError.textContent = "; // Validation var isAgeValid = validateInput('babyAge', 'babyAgeError', 0, 24); var isWeightValid = validateInput('babyWeight', 'babyWeightError', 0); // Sex validation is implicit with select, but we can check if it's a valid option if needed if (!isAgeValid || !isWeightValid) { document.getElementById('primary-result').textContent = '–'; document.getElementById('percentile').textContent = "; document.getElementById('comparisonText').textContent = "; document.getElementById('growthStatus').textContent = "; return; } var dataPoint = null; // Find the closest age data point. For simplicity, we'll use exact matches. // In a real-world scenario, interpolation might be needed for non-integer ages. for (var i = 0; i < weightData.length; i++) { if (weightData[i].age === babyAge && weightData[i].sex === babySex) { dataPoint = weightData[i]; break; } } var resultsContainer = document.getElementById('results-container'); var primaryResultElement = document.getElementById('primary-result'); var percentileElement = document.getElementById('percentile'); var comparisonTextElement = document.getElementById('comparisonText'); var growthStatusElement = document.getElementById('growthStatus'); if (dataPoint) { var p3 = dataPoint.p3; var p15 = dataPoint.p15; var p50 = dataPoint.p50; var p85 = dataPoint.p85; var p97 = dataPoint.p97; var percentile = 50; // Default var comparisonText = ''; var growthStatus = ''; if (babyWeight < p3) { percentile = Math.round(((babyWeight – 0) / (p3 – 0)) * 3); // Rough estimate for <3rd comparisonText = 'Your baby is lighter than average for their age and sex.'; growthStatus = 'Underweight'; } else if (babyWeight < p15) { percentile = Math.round(3 + ((babyWeight – p3) / (p15 – p3)) * 12); // 3-15 comparisonText = 'Your baby\'s weight is on the lower side of average.'; growthStatus = 'Healthy Weight'; } else if (babyWeight < p50) { percentile = Math.round(15 + ((babyWeight – p15) / (p50 – p15)) * 35); // 15-50 comparisonText = 'Your baby\'s weight is below the average but within a healthy range.'; growthStatus = 'Healthy Weight'; } else if (babyWeight < p85) { percentile = Math.round(50 + ((babyWeight – p50) / (p85 – p50)) * 35); // 50-85 comparisonText = 'Your baby\'s weight is above the average but within a healthy range.'; growthStatus = 'Healthy Weight'; } else if (babyWeight 97th comparisonText = 'Your baby is heavier than average for their age and sex.'; growthStatus = 'Overweight / Obese'; } // Ensure percentile is within 0-100 bounds percentile = Math.max(0, Math.min(100, percentile)); primaryResultElement.textContent = percentile + 'th Percentile'; percentileElement.textContent = 'Weight Status: ' + growthStatus; comparisonTextElement.textContent = comparisonText; growthStatusElement.textContent = 'Growth Trend: ' + (percentile 90 ? 'Higher' : 'Average'); // Update chart data if it exists updateChart(babySex); } else { primaryResultElement.textContent = 'N/A'; percentileElement.textContent = 'No data available for this age.'; comparisonTextElement.textContent = "; growthStatusElement.textContent = "; updateChart(babySex); // Update chart even if no specific data point found } } function populateTable() { var tableBody = document.getElementById('weightTableBody'); tableBody.innerHTML = "; // Clear existing rows // Group data by age for easier display var dataByAge = {}; for (var i = 0; i < weightData.length; i++) { var item = weightData[i]; if (!dataByAge[item.age]) { dataByAge[item.age] = { male: null, female: null }; } dataByAge[item.age][item.sex] = item; } // Sort ages numerically var sortedAges = Object.keys(dataByAge).map(Number).sort(function(a, b) { return a – b; }); for (var j = 0; j < sortedAges.length; j++) { var age = sortedAges[j]; var maleData = dataByAge[age].male; var femaleData = dataByAge[age].female; // Create rows, handling cases where data might be missing for one sex at a specific age if (maleData && femaleData) { var row = tableBody.insertRow(); row.insertCell(0).textContent = age === 0 ? '0 (Birth)' : age; row.insertCell(1).textContent = 'Male'; row.insertCell(2).textContent = maleData.p3.toFixed(2); row.insertCell(3).textContent = maleData.p15.toFixed(2); row.insertCell(4).textContent = maleData.p50.toFixed(2); row.insertCell(5).textContent = maleData.p85.toFixed(2); row.insertCell(6).textContent = maleData.p97.toFixed(2); row = tableBody.insertRow(); row.insertCell(0).textContent = age === 0 ? '0 (Birth)' : age; row.insertCell(1).textContent = 'Female'; row.insertCell(2).textContent = femaleData.p3.toFixed(2); row.insertCell(3).textContent = femaleData.p15.toFixed(2); row.insertCell(4).textContent = femaleData.p50.toFixed(2); row.insertCell(5).textContent = femaleData.p85.toFixed(2); row.insertCell(6).textContent = femaleData.p97.toFixed(2); } else if (maleData) { // Only male data available var row = tableBody.insertRow(); row.insertCell(0).textContent = age === 0 ? '0 (Birth)' : age; row.insertCell(1).textContent = 'Male'; row.insertCell(2).textContent = maleData.p3.toFixed(2); row.insertCell(3).textContent = maleData.p15.toFixed(2); row.insertCell(4).textContent = maleData.p50.toFixed(2); row.insertCell(5).textContent = maleData.p85.toFixed(2); row.insertCell(6).textContent = maleData.p97.toFixed(2); } else if (femaleData) { // Only female data available var row = tableBody.insertRow(); row.insertCell(0).textContent = age === 0 ? '0 (Birth)' : age; row.insertCell(1).textContent = 'Female'; row.insertCell(2).textContent = femaleData.p3.toFixed(2); row.insertCell(3).textContent = femaleData.p15.toFixed(2); row.insertCell(4).textContent = femaleData.p50.toFixed(2); row.insertCell(5).textContent = femaleData.p85.toFixed(2); row.insertCell(6).textContent = femaleData.p97.toFixed(2); } } } function updateChart(selectedSex) { var ctx = document.getElementById('weightChart').getContext('2d'); var currentAge = parseFloat(document.getElementById('babyAge').value); var currentWeight = parseFloat(document.getElementById('babyWeight').value); var ages = []; var p50Data = []; var p15Data = []; var p85Data = []; // Filter data for the selected sex and prepare for chart var filteredData = weightData.filter(function(d) { return d.sex === selectedSex; }); // Sort by age to ensure correct chart plotting filteredData.sort(function(a, b) { return a.age – b.age; }); for (var i = 0; i < filteredData.length; i++) { ages.push(filteredData[i].age); p50Data.push(filteredData[i].p50); p15Data.push(filteredData[i].p15); p85Data.push(filteredData[i].p85); } // Add current input values to the data series for visualization // Find the index for the current age, or insert if not present var currentIndex = ages.indexOf(currentAge); if (currentIndex === -1) { // Find insertion point to keep sorted for(var k=0; k < ages.length; k++) { if (currentAge < ages[k]) { currentIndex = k; break; } } if (currentIndex === -1) currentIndex = ages.length; // Append if largest ages.splice(currentIndex, 0, currentAge); p50Data.splice(currentIndex, 0, currentWeight); // Use current weight for p50 line p15Data.splice(currentIndex, 0, currentWeight); // Placeholder, will be adjusted p85Data.splice(currentIndex, 0, currentWeight); // Placeholder, will be adjusted } else { // Update existing point p50Data[currentIndex] = currentWeight; p15Data[currentIndex] = currentWeight; p85Data[currentIndex] = currentWeight; } // Destroy previous chart instance if it exists if (chart) { chart.destroy(); } chart = new Chart(ctx, { type: 'line', data: { labels: ages, datasets: [ { label: '50th Percentile (Average)', data: p50Data, borderColor: 'rgba(0, 74, 153, 1)', // Primary color backgroundColor: 'rgba(0, 74, 153, 0.2)', fill: false, tension: 0.1, pointRadius: currentIndex !== -1 && ages[currentIndex] === currentAge ? 5 : 0, // Highlight current point pointBackgroundColor: currentIndex !== -1 && ages[currentIndex] === currentAge ? 'rgba(255, 99, 132, 1)' : 'rgba(0, 74, 153, 1)', pointBorderColor: '#fff', borderWidth: 2 }, { label: '15th Percentile', data: p15Data, borderColor: 'rgba(40, 167, 69, 0.7)', // Success color lighter backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: false, tension: 0.1, borderWidth: 1, hidden: true // Initially hidden }, { label: '85th Percentile', data: p85Data, borderColor: 'rgba(255, 193, 7, 0.7)', // Warning color lighter backgroundColor: 'rgba(255, 193, 7, 0.1)', fill: false, tension: 0.1, borderWidth: 1, hidden: true // Initially hidden } ] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' } }, 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; } } }, legend: { position: 'top', } }, hover: { mode: 'index', intersect: false } } }); } function resetCalculator() { document.getElementById('babyAge').value = ''; document.getElementById('babyWeight').value = ''; document.getElementById('babySex').value = 'male'; document.getElementById('babyAgeError').textContent = ''; document.getElementById('babyWeightError').textContent = ''; document.getElementById('primary-result').textContent = '–'; document.getElementById('percentile').textContent = ''; document.getElementById('comparisonText').textContent = ''; document.getElementById('growthStatus').textContent = ''; // Reset chart to default view or clear it if (chart) { chart.destroy(); chart = null; // Ensure it's reset } // Optionally re-initialize chart with default data or empty state var ctx = document.getElementById('weightChart').getContext('2d'); chart = new Chart(ctx, { type: 'line', data: { labels: [], datasets: [] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true } }, plugins: { legend: { display: false } } } }); } function copyResults() { var primaryResult = document.getElementById('primary-result').textContent; var percentile = document.getElementById('percentile').textContent; var comparisonText = document.getElementById('comparisonText').textContent; var growthStatus = document.getElementById('growthStatus').textContent; var babyAge = document.getElementById('babyAge').value; var babyWeight = document.getElementById('babyWeight').value; var babySex = document.getElementById('babySex').value; var assumptions = "Key Assumptions:\n"; assumptions += "- Baby's Age: " + (babyAge ? babyAge + " months" : "Not provided") + "\n"; assumptions += "- Baby's Weight: " + (babyWeight ? babyWeight + " kg" : "Not provided") + "\n"; assumptions += "- Baby's Sex: " + (babySex ? babySex.charAt(0).toUpperCase() + babySex.slice(1) : "Not provided") + "\n"; assumptions += "- Data Source: WHO Growth Standards\n"; var resultsText = "Baby Weight Comparison Results:\n"; resultsText += "———————————-\n"; resultsText += "Primary Result: " + primaryResult + "\n"; resultsText += percentile + "\n"; resultsText += comparisonText + "\n"; resultsText += growthStatus + "\n"; resultsText += "———————————-\n"; resultsText += assumptions; // Use the modern Clipboard API if available, otherwise fallback if (navigator.clipboard && window.isSecureContext) { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy: ', err); fallbackCopyTextToClipboard(resultsText); }); } else { fallbackCopyTextToClipboard(resultsText); } } // Fallback function for older browsers or non-HTTPS contexts function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; // Avoid scrolling to bottom 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 ? 'successful' : 'unsuccessful'; alert('Results copied to clipboard! (' + msg + ')'); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Failed to copy results. Please copy manually.'); } document.body.removeChild(textArea); } // Initial setup document.addEventListener('DOMContentLoaded', function() { populateTable(); // Initialize chart with empty state or default view var ctx = document.getElementById('weightChart').getContext('2d'); chart = new Chart(ctx, { type: 'line', data: { labels: [], datasets: [] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true } }, plugins: { legend: { display: false } } } }); // Add event listeners for real-time updates document.getElementById('babyAge').addEventListener('input', function() { var sex = document.getElementById('babySex').value; updateChart(sex); // Optionally trigger calculation on input change too // calculateWeight(); }); document.getElementById('babyWeight').addEventListener('input', function() { var sex = document.getElementById('babySex').value; updateChart(sex); // Optionally trigger calculation on input change too // calculateWeight(); }); document.getElementById('babySex').addEventListener('change', function() { var sex = this.value; updateChart(sex); // Optionally trigger calculation on input change too // calculateWeight(); }); // Trigger initial calculation if fields are pre-filled (e.g., on page load with parameters) // Or just call calculateWeight() to perform initial validation and display calculateWeight(); });

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