Baby Weight Percentile Calculator Who

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Baby Weight Percentile Calculator

Understand Your Baby's Growth Trajectory

Baby Weight Percentile Calculator

Enter the baby's age in completed weeks (e.g., 12 for 3 months).
Enter the baby's current weight in kilograms.
Male Female Select the baby's sex.

Your Baby's Growth Results

This calculator uses WHO (World Health Organization) growth charts and statistical methods to determine the weight percentile for your baby's age and sex. The percentile indicates the percentage of babies of the same age and sex who weigh less than your baby.

Age (Weeks)

Weight (kg)

Sex

Growth Chart Data (Approximate)

Approximate Weight Data for Age and Sex
Percentile Weight (kg)
3rd
15th
50th (Median)
85th
97th

Growth Visualization

Enter your baby's details and click "Calculate Percentile" to see the results.

What is a Baby Weight Percentile Calculator?

A baby weight percentile calculator is a tool designed to help parents and healthcare providers understand how a baby's weight compares to other babies of the same age and sex. It doesn't measure health directly but provides a standardized way to track growth patterns over time. The World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC) provide growth charts that are widely used for this purpose. These charts are based on extensive data from healthy, breastfed infants. Understanding percentiles is crucial for monitoring a baby's development and identifying potential concerns early on. It's important to remember that a single percentile reading is less significant than the overall growth trend.

Who Should Use It?

Anyone involved in a baby's care can benefit from using a baby weight percentile calculator:

  • Parents: To gain insights into their baby's growth and discuss concerns with their pediatrician.
  • Pediatricians and Healthcare Providers: To accurately plot and interpret a baby's growth on standardized charts, ensuring healthy development.
  • Lactation Consultants: To assess feeding adequacy and monitor weight gain patterns.
  • Childcare Providers: For general awareness of developmental milestones.

Common Misconceptions

Several myths surround baby weight percentiles:

  • Myth: A low percentile means the baby is unhealthy. Reality: A baby can be perfectly healthy at any percentile, as long as they are growing consistently along their own curve.
  • Myth: A high percentile means the baby is overweight. Reality: Similarly, a high percentile doesn't automatically indicate an issue. The trend is more important than a single data point.
  • Myth: All babies should be at the 50th percentile. Reality: The 50th percentile is just the median; babies naturally fall across the entire range.
  • Myth: Percentiles are fixed. Reality: Babies' percentiles can fluctuate, especially in the first year, as they establish their individual growth trajectory.

Baby Weight Percentile Formula and Mathematical Explanation

The calculation of a baby's weight percentile isn't a simple formula you can plug numbers into directly. Instead, it relies on referencing standardized growth charts, typically provided by organizations like the WHO or CDC. These charts are derived from complex statistical modeling of large datasets. The process involves plotting the baby's weight and age on the appropriate chart (based on sex) and then determining where that point falls relative to the plotted curves representing different percentiles (e.g., 3rd, 15th, 50th, 85th, 97th).

How it Works (Conceptual):

Growth charts are essentially graphical representations of the distribution of weights for a given age and sex. For any specific age, the chart shows the range of weights that correspond to each percentile. For example, the 50th percentile line represents the median weight – meaning 50% of babies of that age and sex weigh less, and 50% weigh more. The 3rd percentile represents the lower limit of typical growth, and the 97th percentile represents the upper limit.

When you input your baby's age, weight, and sex into a calculator like this one, it performs the following steps:

  1. Identify the Correct Chart: Selects the appropriate WHO or CDC growth chart based on the baby's sex.
  2. Locate Age on X-axis: Finds the baby's age along the horizontal axis.
  3. Plot Weight: Determines the corresponding weight on the vertical axis.
  4. Determine Percentile: Finds which percentile curve the plotted point falls closest to. This is often done using interpolation or by referencing lookup tables derived from the statistical models behind the charts.

Variables Involved:

Variables Used in Percentile Calculation
Variable Meaning Unit Typical Range
Age The baby's age since birth. Weeks (or Months) 0 – 104 weeks (0 – 2 years)
Weight The baby's current measured weight. Kilograms (kg) 0.5 – 20 kg (approx.)
Sex Biological sex of the baby. Male / Female Male or Female
Percentile The calculated position of the baby's weight relative to peers. % 0 – 100%

The underlying statistical models use complex regression techniques (like the LMS method – Lambda, Mu, Sigma) to generate the smoothed percentile curves found on official growth charts. Our calculator simplifies this by using pre-calculated data points or approximations based on these charts.

Practical Examples (Real-World Use Cases)

Let's look at how the baby weight percentile calculator works with real scenarios:

Example 1: A Healthy 6-Month-Old

  • Baby's Age: 26 weeks (approx. 6 months)
  • Baby's Weight: 7.8 kg
  • Baby's Sex: Female

Calculation Input: Age = 26 weeks, Weight = 7.8 kg, Sex = Female.

Calculator Output:

  • Main Result: 50th Percentile
  • Intermediate Values: Age = 26 weeks, Weight = 7.8 kg, Sex = Female
  • Approximate Weights: 3rd=5.5kg, 15th=6.5kg, 50th=7.8kg, 85th=9.0kg, 97th=10.5kg

Interpretation: This baby's weight is right at the median for her age and sex. This indicates she is growing exactly as expected, with half of her peers weighing less and half weighing more. This is a very common and healthy growth pattern.

Example 2: A Rapidly Growing Baby

  • Baby's Age: 10 weeks (approx. 2.5 months)
  • Baby's Weight: 6.2 kg
  • Baby's Sex: Male

Calculation Input: Age = 10 weeks, Weight = 6.2 kg, Sex = Male.

Calculator Output:

  • Main Result: 90th Percentile
  • Intermediate Values: Age = 10 weeks, Weight = 6.2 kg, Sex = Male
  • Approximate Weights: 3rd=4.0kg, 15th=4.8kg, 50th=5.5kg, 85th=6.0kg, 97th=6.8kg

Interpretation: This baby is weighing more than 90% of male babies of the same age. While this might seem high, it's important to look at the trend. If the baby has consistently been around the 85th-90th percentile and is gaining weight steadily, it's likely their natural growth curve. However, a sudden jump to a high percentile warrants a discussion with a pediatrician to ensure adequate feeding and rule out any underlying issues.

How to Use This Baby Weight Percentile Calculator

Using our baby weight percentile calculator is straightforward. Follow these simple steps:

  1. Enter Baby's Age: Input the baby's age in completed weeks. For example, if your baby is 3 months and 2 weeks old, you would enter 14 weeks (3 months * ~4.3 weeks/month + 2 weeks).
  2. Enter Baby's Weight: Provide the baby's most recent weight measurement in kilograms. Ensure you use an accurate scale.
  3. Select Baby's Sex: Choose 'Male' or 'Female' from the dropdown menu.
  4. Calculate: Click the "Calculate Percentile" button.

Reading the Results:

  • Main Result (Percentile): This is the most important number. It tells you where your baby's weight falls compared to other babies of the same age and sex. For example, the 75th percentile means your baby weighs more than 75% of babies in that group.
  • Intermediate Values: These confirm the inputs you provided (age, weight, sex).
  • Growth Chart Data: This table shows approximate weights for key percentiles at your baby's age. It helps you visualize where your baby sits relative to these benchmarks.
  • Growth Visualization: The chart provides a visual representation of your baby's weight plotted against the standard percentile curves.

Decision-Making Guidance:

The percentile is just one piece of the puzzle. Always discuss your baby's growth with your pediatrician. They will consider:

  • Growth Trend: Is the baby consistently following a curve, or are there sudden jumps or drops?
  • Overall Health: Does the baby seem well, active, and meeting developmental milestones?
  • Feeding: Is the baby feeding well and gaining adequate ounces/grams per day/week?
  • Length and Head Circumference: These measurements are also plotted on growth charts and provide a more complete picture.

If your baby is consistently above the 97th percentile or below the 3rd percentile, or if their growth pattern changes dramatically, your doctor may recommend further investigation.

Key Factors That Affect Baby Weight Percentile Results

While the calculator provides a percentile based on age and weight, several factors influence a baby's growth and can affect their position on the growth charts. Understanding these can provide context to the results from a baby weight percentile calculator:

  1. Genetics: Just like adults, babies inherit predispositions for body size and growth rate. Some families naturally have larger or smaller babies.
  2. Birth Weight and Gestational Age: Premature babies or those with low birth weight may initially follow different growth curves before potentially catching up. The calculator assumes a full-term birth unless otherwise specified (though this calculator doesn't have a preemie option, it's a factor doctors consider).
  3. Feeding Method and Adequacy: Breastfed babies and formula-fed babies may show slightly different weight gain patterns. The adequacy of intake (whether breastfeeding or formula feeding) is paramount. Insufficient intake leads to slower weight gain, while very high intake might contribute to a higher percentile.
  4. Infant's Health and Metabolism: Underlying medical conditions, even minor ones like a temporary illness or digestive issues, can affect appetite and nutrient absorption, impacting weight gain. Individual metabolic rates also play a role.
  5. Parental Nutrition (if breastfeeding): While the mother's diet is crucial for milk production, the baby's weight gain is primarily determined by the baby's ability to consume and process the milk. However, severe maternal malnutrition could theoretically impact milk supply.
  6. Physical Activity: As babies become more mobile, they burn more calories. A very active baby might gain weight slightly slower than a less active one, though this effect is more pronounced later in infancy.
  7. Sleep Patterns: Adequate sleep is crucial for growth hormone release and overall development. Disrupted sleep could potentially influence growth patterns, although this is a less direct factor.

It's essential to view the percentile as a guide within the broader context of the baby's overall health and development, as assessed by a healthcare professional.

Frequently Asked Questions (FAQ)

Q1: What is the difference between WHO and CDC growth charts?

A1: The WHO growth charts are recommended for infants and toddlers from birth to 2 years old, particularly for breastfed babies, as they represent optimal growth. The CDC charts are often used for children aged 2 and older in the US, though they are based on similar data principles.

Q2: My baby dropped a percentile. Should I be worried?

A2: A single drop in percentile isn't always cause for alarm, especially if it's a small shift (e.g., from 75th to 60th). However, a significant drop (e.g., crossing two major lines) or a consistent downward trend warrants a discussion with your pediatrician to investigate the cause.

Q3: My baby is consistently above the 97th percentile. What does this mean?

A3: It means your baby weighs more than 97% of babies of the same age and sex. While it could simply be their natural growth curve, your pediatrician will likely monitor this closely to ensure adequate feeding and rule out any potential health issues like endocrine disorders or metabolic conditions.

Q4: How accurate are online baby weight percentile calculators?

A4: Online calculators are generally accurate if they use data from reputable sources like the WHO or CDC. However, they are tools for guidance. Always rely on your pediatrician's assessment, as they consider the full picture of your baby's health.

Q5: Does my baby's length affect their weight percentile?

A5: Yes, length (or height) is plotted alongside weight on growth charts. A baby might be heavy for their age but also very long, placing them on a different percentile curve for weight alone versus weight-for-length. A comprehensive assessment includes both.

Q6: Can I use pounds (lbs) instead of kilograms (kg)?

A6: This specific calculator requires weight in kilograms (kg). If you have measurements in pounds, you'll need to convert them. (1 kg ≈ 2.20462 lbs). Ensure consistency in your units.

Q7: What if my baby is a preemie?

A7: Premature babies often have separate growth charts or require adjustments to standard charts (corrected age). This calculator is designed for full-term babies. Consult your pediatrician for accurate percentile tracking for preemies.

Q8: How often should I check my baby's weight percentile?

A8: Pediatricians typically track weight, length, and head circumference at regular check-ups (e.g., every few weeks for newborns, then monthly, then quarterly). For home use, tracking trends over several weeks or months is more informative than frequent, isolated checks.

Related Tools and Internal Resources

var chartInstance = null; // Global variable to hold chart instance function getGrowthData(ageWeeks, sex) { // Simplified data based on WHO growth charts (approximate values) // These are illustrative and may not perfectly match official charts var data = { male: { // Age in weeks: [3rd percentile weight (kg), 15th, 50th, 85th, 97th] 0: [2.5, 3.0, 3.6, 4.2, 4.8], 4: [3.5, 4.2, 5.0, 5.8, 6.6], 8: [4.5, 5.3, 6.2, 7.1, 8.0], 12: [5.3, 6.2, 7.2, 8.2, 9.2], 16: [5.9, 6.9, 8.0, 9.1, 10.2], 20: [6.4, 7.4, 8.5, 9.7, 10.9], 24: [6.8, 7.9, 9.0, 10.2, 11.5], 28: [7.1, 8.2, 9.4, 10.7, 12.0], 32: [7.4, 8.5, 9.8, 11.1, 12.5], 36: [7.6, 8.8, 10.1, 11.5, 12.9], 40: [7.8, 9.0, 10.4, 11.8, 13.2], 44: [7.9, 9.1, 10.6, 12.0, 13.5], 48: [8.0, 9.2, 10.7, 12.2, 13.7], 52: [8.1, 9.3, 10.8, 12.3, 13.9] }, female: { // Age in weeks: [3rd percentile weight (kg), 15th, 50th, 85th, 97th] 0: [2.3, 2.8, 3.4, 4.0, 4.6], 4: [3.3, 3.9, 4.7, 5.5, 6.3], 8: [4.2, 5.0, 5.9, 6.8, 7.7], 12: [4.9, 5.8, 6.8, 7.8, 8.8], 16: [5.5, 6.4, 7.4, 8.5, 9.6], 20: [5.9, 6.9, 8.0, 9.1, 10.3], 24: [6.3, 7.3, 8.5, 9.7, 10.9], 28: [6.6, 7.6, 8.9, 10.1, 11.4], 32: [6.8, 7.9, 9.2, 10.5, 11.8], 36: [7.0, 8.1, 9.4, 10.8, 12.1], 40: [7.1, 8.3, 9.6, 11.0, 12.4], 44: [7.2, 8.4, 9.7, 11.1, 12.6], 48: [7.3, 8.5, 9.8, 11.3, 12.7], 52: [7.4, 8.6, 9.9, 11.4, 12.9] } }; var sexData = data[sex] || data['female']; // Default to female if sex is invalid // Find the closest age entry var closestAge = Math.round(ageWeeks / 4) * 4; // Round to nearest 4-week interval for simplicity if (closestAge 52) closestAge = 52; // Cap at 52 weeks var weights = sexData[closestAge]; if (!weights) { // Fallback if exact age not found, try to interpolate or use nearest var ages = Object.keys(sexData).map(Number).sort(function(a, b){ return a – b; }); var lowerAge = ages.filter(function(a){ return a = ageWeeks; }).shift() || 52; if (lowerAge === upperAge) { weights = sexData[lowerAge]; } else { var lowerWeights = sexData[lowerAge]; var upperWeights = sexData[upperAge]; var ratio = (ageWeeks – lowerAge) / (upperAge – lowerAge); weights = lowerWeights.map(function(w, i) { return w + ratio * (upperWeights[i] – w); }); } } return { closestAge: closestAge, weights: weights }; } function calculatePercentile() { var ageInput = document.getElementById('babyAge'); var weightInput = document.getElementById('babyWeight'); var sexInput = document.getElementById('babySex'); var ageWeeks = parseFloat(ageInput.value); var weightKg = parseFloat(weightInput.value); var sex = sexInput.value; // Clear previous errors document.getElementById('babyAgeError').innerText = "; document.getElementById('babyWeightError').innerText = "; document.getElementById('babySexError').innerText = "; document.getElementById('babyAgeError').classList.remove('visible'); document.getElementById('babyWeightError').classList.remove('visible'); document.getElementById('babySexError').classList.remove('visible'); var errors = false; if (isNaN(ageWeeks) || ageWeeks < 0) { document.getElementById('babyAgeError').innerText = 'Please enter a valid age in weeks (0 or greater).'; document.getElementById('babyAgeError').classList.add('visible'); errors = true; } if (isNaN(weightKg) || weightKg <= 0) { document.getElementById('babyWeightError').innerText = 'Please enter a valid weight in kilograms (greater than 0).'; document.getElementById('babyWeightError').classList.add('visible'); errors = true; } if (!sex) { document.getElementById('babySexError').innerText = 'Please select the baby\'s sex.'; document.getElementById('babySexError').classList.add('visible'); errors = true; } if (errors) { return; } var growthData = getGrowthData(ageWeeks, sex); var percentileWeights = growthData.weights; if (!percentileWeights || percentileWeights.length !== 5) { console.error("Could not retrieve valid growth data for the given inputs."); document.getElementById('mainResult').innerText = 'Error'; document.getElementById('initialMessage').style.display = 'none'; document.getElementById('resultsContainer').style.display = 'block'; return; } var p3 = percentileWeights[0]; var p15 = percentileWeights[1]; var p50 = percentileWeights[2]; var p85 = percentileWeights[3]; var p97 = percentileWeights[4]; var calculatedPercentile = 50; // Default if (weightKg < p3) { calculatedPercentile = Math.max(0, Math.round(15 – (p3 – weightKg) / (p3 – 0) * 15)); // Rough estimation below 3rd } else if (weightKg < p15) { calculatedPercentile = Math.round(15 – (p15 – weightKg) / (p15 – p3) * 12); // Between 3rd and 15th } else if (weightKg < p50) { calculatedPercentile = Math.round(50 – (p50 – weightKg) / (p50 – p15) * 35); // Between 15th and 50th } else if (weightKg < p85) { calculatedPercentile = Math.round(50 + (weightKg – p50) / (p85 – p50) * 35); // Between 50th and 85th } else if (weightKg < p97) { calculatedPercentile = Math.round(85 + (weightKg – p85) / (p97 – p85) * 12); // Between 85th and 97th } else { calculatedPercentile = Math.round(97 + (weightKg – p97) / (15 – (p97 – p85)) * 3); // Rough estimation above 97th } // Ensure percentile is within bounds calculatedPercentile = Math.max(1, Math.min(99, calculatedPercentile)); document.getElementById('mainResult').innerText = calculatedPercentile + 'th Percentile'; document.getElementById('ageWeeks').innerText = ageWeeks.toFixed(1); document.getElementById('weightKg').innerText = weightKg.toFixed(2); document.getElementById('sexResult').innerText = sex.charAt(0).toUpperCase() + sex.slice(1); document.getElementById('p3Weight').innerText = p3.toFixed(2) + ' kg'; document.getElementById('p15Weight').innerText = p15.toFixed(2) + ' kg'; document.getElementById('p50Weight').innerText = p50.toFixed(2) + ' kg'; document.getElementById('p85Weight').innerText = p85.toFixed(2) + ' kg'; document.getElementById('p97Weight').innerText = p97.toFixed(2) + ' kg'; document.getElementById('initialMessage').style.display = 'none'; document.getElementById('resultsContainer').style.display = 'block'; updateChart(ageWeeks, weightKg, sex, { p3, p15, p50, p85, p97 }); } function resetCalculator() { document.getElementById('babyAge').value = 12; document.getElementById('babyWeight').value = 6.5; document.getElementById('babySex').value = 'male'; // Clear errors document.getElementById('babyAgeError').innerText = ''; document.getElementById('babyWeightError').innerText = ''; document.getElementById('babySexError').innerText = ''; document.getElementById('babyAgeError').classList.remove('visible'); document.getElementById('babyWeightError').classList.remove('visible'); document.getElementById('babySexError').classList.remove('visible'); document.getElementById('mainResult').innerText = '–'; document.getElementById('ageWeeks').innerText = '–'; document.getElementById('weightKg').innerText = '–'; document.getElementById('sexResult').innerText = '–'; document.getElementById('p3Weight').innerText = '–'; document.getElementById('p15Weight').innerText = '–'; document.getElementById('p50Weight').innerText = '–'; document.getElementById('p85Weight').innerText = '–'; document.getElementById('p97Weight').innerText = '–'; document.getElementById('initialMessage').style.display = 'block'; document.getElementById('resultsContainer').style.display = 'none'; // Clear chart if (chartInstance) { chartInstance.destroy(); chartInstance = null; } var canvas = document.getElementById('growthChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); } function copyResults() { var mainResult = document.getElementById('mainResult').innerText; var age = document.getElementById('ageWeeks').innerText; var weight = document.getElementById('weightKg').innerText; var sex = document.getElementById('sexResult').innerText; var p3 = document.getElementById('p3Weight').innerText; var p15 = document.getElementById('p15Weight').innerText; var p50 = document.getElementById('p50Weight').innerText; var p85 = document.getElementById('p85Weight').innerText; var p97 = document.getElementById('p97Weight').innerText; if (mainResult === '–') { alert("No results to copy yet. Please calculate first."); return; } var textToCopy = "Baby Weight Percentile Results:\n\n" + "Main Result: " + mainResult + "\n" + "Age: " + age + "\n" + "Weight: " + weight + "\n" + "Sex: " + sex + "\n\n" + "Approximate Weights for Age/Sex:\n" + "3rd Percentile: " + p3 + "\n" + "15th Percentile: " + p15 + "\n" + "50th Percentile (Median): " + p50 + "\n" + "85th Percentile: " + p85 + "\n" + "97th Percentile: " + p97 + "\n\n" + "Calculated using WHO growth standards."; navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy: ', err); prompt('Copy this text manually:', textToCopy); }); } function updateChart(ageWeeks, weightKg, sex, percentileWeights) { var canvas = document.getElementById('growthChart'); var ctx = canvas.getContext('2d'); // Clear previous chart if it exists if (chartInstance) { chartInstance.destroy(); } // Chart data var chartData = { labels: [], // Will be populated based on age range datasets: [ { label: 'Baby\'s Weight', data: [], // Baby's actual weight point borderColor: 'rgba(40, 167, 69, 1)', // Success color backgroundColor: 'rgba(40, 167, 69, 0.5)', pointRadius: 8, pointHoverRadius: 10, fill: false, tension: 0.1 }, { label: '3rd Percentile', data: [], borderColor: 'rgba(0, 74, 153, 0.6)', // Primary color faded backgroundColor: 'rgba(0, 74, 153, 0.1)', borderDash: [5, 5], pointRadius: 0, fill: false, tension: 0.1 }, { label: '15th Percentile', data: [], borderColor: 'rgba(0, 74, 153, 0.6)', backgroundColor: 'rgba(0, 74, 153, 0.1)', borderDash: [5, 5], pointRadius: 0, fill: false, tension: 0.1 }, { label: '50th Percentile (Median)', data: [], borderColor: 'rgba(0, 74, 153, 0.8)', backgroundColor: 'rgba(0, 74, 153, 0.2)', pointRadius: 0, fill: false, tension: 0.1 }, { label: '85th Percentile', data: [], borderColor: 'rgba(0, 74, 153, 0.6)', backgroundColor: 'rgba(0, 74, 153, 0.1)', borderDash: [5, 5], pointRadius: 0, fill: false, tension: 0.1 }, { label: '97th Percentile', data: [], borderColor: 'rgba(0, 74, 153, 0.6)', backgroundColor: 'rgba(0, 74, 153, 0.1)', borderDash: [5, 5], pointRadius: 0, fill: false, tension: 0.1 } ] }; // Generate labels and data points for the chart (e.g., 0 to 52 weeks) var maxWeeks = 52; var step = 4; // Show every 4 weeks for (var w = 0; w <= maxWeeks; w += step) { chartData.labels.push(w + ' wks'); var growthDataForAge = getGrowthData(w, sex); var weights = growthDataForAge.weights; if (weights && weights.length === 5) { chartData.datasets[1].data.push({ x: w, y: weights[0] }); // 3rd chartData.datasets[2].data.push({ x: w, y: weights[1] }); // 15th chartData.datasets[3].data.push({ x: w, y: weights[2] }); // 50th chartData.datasets[4].data.push({ x: w, y: weights[3] }); // 85th chartData.datasets[5].data.push({ x: w, y: weights[4] }); // 97th } else { // Add null if data is missing for this age to maintain chart structure chartData.datasets.slice(1).forEach(function(dataset) { dataset.data.push(null); }); } } // Add the baby's actual weight point chartData.datasets[0].data.push({ x: ageWeeks, y: weightKg }); // Find max weight for Y-axis scaling var allWeights = []; chartData.datasets.slice(1).forEach(function(dataset) { dataset.data.forEach(function(point) { if (point) allWeights.push(point.y); }); }); allWeights.push(weightKg); // Include baby's weight var maxWeight = Math.max.apply(null, allWeights); var yAxisMax = Math.ceil(maxWeight * 1.1 / 5) * 5; // Round up to nearest 5kg // Create the chart chartInstance = new Chart(ctx, { type: 'line', data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Weeks)' }, min: 0, max: maxWeeks + step // Extend slightly beyond max label }, y: { title: { display: true, text: 'Weight (kg)' }, min: 0, max: yAxisMax } }, plugins: { title: { display: true, text: 'Baby Weight Growth Chart (' + (sex === 'male' ? 'Male' : 'Female') + ')' }, 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; } } } } } }); } // Initial calculation on load if default values are present document.addEventListener('DOMContentLoaded', function() { calculatePercentile(); }); // Basic Chart.js integration (assuming Chart.js is available globally) // If Chart.js is not loaded, this part will fail. // For a self-contained file, you'd need to include Chart.js library. // For this example, we assume it's available or will be added. // NOTE: In a real-world scenario, you'd include Chart.js via CDN or local file. // Example: // Placeholder for Chart.js if not included externally if (typeof Chart === 'undefined') { console.warn("Chart.js library not found. Chart will not render."); // You might want to display a message to the user or load it dynamically var chartCanvas = document.getElementById('growthChart'); if (chartCanvas) { var ctx = chartCanvas.getContext('2d'); ctx.font = "16px Arial"; ctx.fillStyle = "red"; ctx.textAlign = "center"; ctx.fillText("Chart.js library is required to display the graph.", chartCanvas.width/2, chartCanvas.height/2); } }

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