Baby Girl Weight Percentile Calculator Australia

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Baby Girl Weight Percentile Calculator Australia

Understand your baby girl's growth in Australia. Calculate her weight percentile easily.

Baby Girl Weight Percentile Calculator

Enter the baby's age in days (e.g., 90 for 3 months).
Enter the baby's current weight in kilograms (e.g., 7.5).

Your Baby's Growth Results

P3: —
P50: —
P97: —
Formula Explanation: This calculator uses WHO (World Health Organization) growth standards, which are widely adopted in Australia. These standards represent the growth of healthy children in optimal conditions. The percentile indicates the percentage of babies of the same age and sex that weigh less than or equal to your baby. For example, the 50th percentile (P50) means your baby weighs the same as half of the babies of the same age and sex.

Weight Percentile Chart (Approximate)

Chart Explanation: This chart visually represents your baby's weight percentile against the standard growth curves for Australian baby girls. The blue line shows your baby's estimated percentile, while the shaded areas represent the 3rd, 50th, and 97th percentiles.

Australian Baby Girl Weight Data (Approximate)

Age (Days) Weight (kg) – P3 Weight (kg) – P50 Weight (kg) – P97
Table Explanation: This table provides approximate weight ranges for baby girls at different ages based on the 3rd, 50th, and 97th percentiles, according to WHO growth standards commonly used in Australia.

What is a Baby Girl Weight Percentile Calculator Australia?

A baby girl weight percentile calculator Australia is a specialized online tool designed to help parents and caregivers in Australia determine where their baby girl's weight falls in relation to the average weight of other baby girls of the same age. It's a crucial tool for monitoring infant growth and ensuring that a baby is developing healthily. The calculator uses established growth charts and statistical data, often based on World Health Organization (WHO) standards, which are the benchmark for infant growth monitoring in Australia and globally. Understanding percentiles helps identify potential concerns early, such as being underweight or overweight, allowing for timely intervention if necessary. This tool is particularly valuable for new parents seeking reassurance or specific data about their baby's growth trajectory.

Who should use it?

  • Parents and guardians of baby girls in Australia.
  • Healthcare professionals (paediatricians, nurses, maternal health workers) for quick reference.
  • Anyone concerned about a baby girl's weight gain or growth pattern.

Common Misconceptions:

  • Misconception: Being below the 50th percentile means a baby is unhealthy. Reality: Percentiles are a range. Babies between the 3rd and 97th percentile are generally considered within the normal growth range. A consistent growth pattern is more important than a specific number.
  • Misconception: All babies should be on the 50th percentile. Reality: Babies grow at different rates. The 50th percentile is just the median; babies can be perfectly healthy at the 10th or 90th percentile as long as they are growing consistently.
  • Misconception: The calculator provides a diagnosis. Reality: It's an informational tool. Always consult a healthcare professional for any concerns about your baby's health and growth.

Baby Girl Weight Percentile Calculator Australia Formula and Mathematical Explanation

The calculation of a baby's weight percentile is based on statistical data derived from large population studies. In Australia, the World Health Organization (WHO) growth standards are commonly used. These standards provide reference data for weight-for-age for girls from birth up to a certain age (typically around 5 years). The core concept is to compare the baby's measured weight against the distribution of weights for babies of the exact same age and sex.

The WHO growth charts are constructed using statistical methods, often involving the LMS (Lambda-Mu-Sigma) method. This method models the distribution of a growth measure (like weight) at each age point using three parameters: L (Lambda – skewness), M (Mu – median), and S (Sigma – coefficient of variation). These parameters are fitted to the data to describe the shape of the distribution at each age.

The percentile (P) for a given weight (W) at a specific age (A) is calculated using the M and S values for that age. A simplified representation of the calculation involves determining how many standard deviations the baby's weight is from the median, and then using a standard normal distribution (Z-score) to find the corresponding percentile.

Simplified Calculation Logic:

  1. Obtain the median weight (M) and the standard deviation (S) for the baby's specific age from the WHO growth reference data.
  2. Calculate the Z-score: Z = (W – M) / S.
  3. Convert the Z-score to a percentile using a standard normal distribution table or function. For example, a Z-score of 0 corresponds to the 50th percentile, a Z-score of approximately -1.88 corresponds to the 3rd percentile, and a Z-score of approximately +1.88 corresponds to the 97th percentile.

Variables Table:

Variable Meaning Unit Typical Range (for reference)
A Baby's Age Days 0 – ~1825 (5 years)
W Baby's Measured Weight Kilograms (kg) 0.5 – 25+ kg
M Median Weight for Age (from WHO standards) Kilograms (kg) Varies by age
S Standard Deviation for Age (from WHO standards) Kilograms (kg) Varies by age
Z Z-score (number of standard deviations from the median) Unitless Approx. -2 to +2
P Percentile % 0 – 100%

Practical Examples (Real-World Use Cases)

Here are a couple of examples demonstrating how the baby girl weight percentile calculator Australia can be used:

Example 1: A Healthy Growth Trajectory

Scenario: Sarah and Tom's daughter, Emily, is 6 months old (approximately 180 days). She weighs 7.8 kg. They want to know her percentile.

Inputs:

  • Baby's Age: 180 days
  • Baby's Weight: 7.8 kg

Calculation (using the calculator):

  • The calculator determines Emily's weight percentile. Let's assume it calculates her to be around the 60th percentile.
  • Primary Result: 60th Percentile
  • Intermediate Values: P3 Weight: ~6.0 kg, P50 Weight: ~7.5 kg, P97 Weight: ~9.5 kg

Interpretation: Emily's weight is above the median (50th percentile) but well within the healthy range (3rd to 97th percentile). This indicates she is growing well and is heavier than 60% of baby girls her age in Australia. Her consistent growth pattern, as confirmed by her healthcare provider, is the most important factor.

Example 2: Monitoring Potential Concerns

Scenario: Maria's baby girl, Isabella, is 3 months old (approximately 90 days). She weighs 4.5 kg. Maria is concerned because Isabella seems small compared to other babies she sees.

Inputs:

  • Baby's Age: 90 days
  • Baby's Weight: 4.5 kg

Calculation (using the calculator):

  • The calculator finds Isabella's percentile. Let's say it calculates her to be around the 5th percentile.
  • Primary Result: 5th Percentile
  • Intermediate Values: P3 Weight: ~4.2 kg, P50 Weight: ~6.0 kg, P97 Weight: ~8.0 kg

Interpretation: Isabella's weight is in the lower end of the healthy range (5th percentile), meaning she weighs more than only 5% of baby girls her age in Australia. While still within the acceptable range, this percentile warrants attention. Maria should discuss this with her paediatrician or maternal health nurse to ensure Isabella is getting adequate nutrition and to monitor her growth closely. The key is to track her growth trend over time.

How to Use This Baby Girl Weight Percentile Calculator Australia

Using the baby girl weight percentile calculator Australia is straightforward. Follow these simple steps:

  1. Enter Baby's Age: Accurately input your baby girl's age in days. For example, if she is 4 months old, that's roughly 120 days. Ensure precision for the most accurate result.
  2. Enter Baby's Weight: Input your baby girl's current weight in kilograms (kg). Use the most recent measurement taken, preferably with a calibrated baby scale.
  3. Calculate: Click the "Calculate Percentile" button.
  4. Review Results: The calculator will display:
    • Primary Result: Your baby's weight percentile (e.g., 75th Percentile).
    • Intermediate Values: The approximate weights corresponding to the 3rd, 50th, and 97th percentiles for her age. This helps contextualize her position.
    • Chart and Table: Visual and tabular data provide further context against standard growth curves.
  5. Interpret: Understand what the percentile means. A higher percentile means she weighs more than a larger proportion of babies her age; a lower percentile means she weighs less than a larger proportion. Remember, consistency in growth is key.
  6. Consult a Professional: Use the results as a guide. Always discuss your baby's growth with your doctor or a healthcare professional, especially if you have concerns or if the percentile is very low (below 3rd) or very high (above 97th), or if there's a sudden change in her growth trend.
  7. Reset: Use the "Reset" button to clear the fields and start over with new measurements.
  8. Copy Results: The "Copy Results" button allows you to easily save or share the calculated information.

Decision-Making Guidance:

  • Within Normal Range (3rd-97th percentile): Focus on consistent growth. Discuss feeding patterns and overall well-being with your healthcare provider.
  • Below 3rd Percentile: Consult your doctor immediately to investigate potential causes and ensure adequate nutrition.
  • Above 97th Percentile: Discuss with your doctor to rule out any underlying issues and ensure healthy eating habits are being established.
  • Rapid Changes in Percentile: A sudden jump or drop in percentile rank can be more significant than the percentile itself and warrants medical review.

Key Factors That Affect Baby Girl Weight Percentile Results

Several factors can influence a baby girl's weight percentile. While the calculator provides a snapshot based on age and weight, understanding these influences offers a more complete picture:

  1. Genetics: Just like adults, babies inherit genetic predispositions for body size and growth rate. Some babies are naturally larger or smaller than others, which can affect their percentile position. A family history of larger or smaller stature can be an indicator.
  2. Nutrition and Feeding: The type and amount of milk (breast milk or formula) are primary drivers of weight gain. Adequate caloric intake is essential for babies to reach their growth potential. Issues with latching, milk supply, or formula preparation can impact weight.
  3. Prematurity: Babies born prematurely may initially be on a lower percentile due to their shorter gestation period. They often follow a different growth trajectory, and healthcare providers may use corrected age for assessment.
  4. Underlying Health Conditions: Certain medical conditions, such as metabolic disorders, gastrointestinal issues (like reflux or malabsorption), or hormonal imbalances, can affect a baby's ability to gain weight appropriately, leading to a lower percentile.
  5. Birth Weight: A baby's starting weight at birth influences their subsequent growth curve. Babies born with very low birth weight might take longer to "catch up" to their peers.
  6. Activity Level: While less impactful in early infancy compared to later childhood, a baby's metabolic rate and energy expenditure can subtly influence weight gain.
  7. Measurement Accuracy: Inaccurate weighing scales or incorrect measurement techniques can lead to skewed results. It's important to use reliable equipment and consistent methods.
  8. Illness: Short-term illnesses, especially those causing vomiting or diarrhoea, can lead to temporary weight loss or slowed gain, affecting the percentile temporarily.

Frequently Asked Questions (FAQ)

Q1: What is the difference between weight percentile and actual weight?
A1: Actual weight is the number on the scale (e.g., 7.5 kg). Percentile indicates how that weight compares to other babies of the same age and sex. A 7.5 kg baby girl at 6 months might be on the 50th percentile (average) or the 20th percentile, depending on the reference data.
Q2: Is it bad if my baby girl is below the 50th percentile?
A2: Not necessarily. As long as your baby is consistently growing along her own curve (e.g., staying around the 20th percentile) and is healthy, alert, and meeting developmental milestones, it's usually not a concern. A healthcare provider's assessment is crucial.
Q3: How often should I measure my baby's weight for percentile tracking?
A3: For newborns, weekly checks might be done. After the first few months, monthly checks are common. Your healthcare provider will guide you on the appropriate frequency based on your baby's individual growth pattern.
Q4: Does this calculator work for premature babies?
A4: This calculator uses standard WHO growth charts based on chronological age. For premature babies, it's often recommended to use their 'corrected age' (age from their original due date) for percentile calculations, especially in the first year. Consult your paediatrician for the most accurate assessment for preemies.
Q5: What if my baby's weight percentile changes significantly?
A5: A significant shift in percentile rank (e.g., dropping from the 75th to the 10th percentile) warrants discussion with a healthcare professional. It could indicate an underlying issue affecting growth that needs investigation.
Q6: Are these percentiles specific to Australia?
A6: The calculator uses WHO growth standards, which are the international standard and widely adopted in Australia. While the data is global, its application in Australia follows national health guidelines.
Q7: Can I use this calculator for baby boys?
A7: No, this specific calculator is designed for baby girls. Growth patterns differ between sexes, and separate calculators or charts are used for baby boys.
Q8: What are the key WHO growth percentiles?
A8: The key percentiles typically referenced are the 3rd (lower limit of normal), 50th (median or average), and 97th (upper limit of normal). Babies falling between the 3rd and 97th percentiles are generally considered to be growing appropriately.

Related Tools and Internal Resources

Disclaimer: This calculator is for informational purposes only and does not substitute professional medical advice. Always consult with a qualified healthcare provider for any health concerns or before making any decisions related to your child's health or treatment.

var chartInstance = null; // Global variable to hold chart instance function getGrowthData(ageInDays) { // Simplified WHO-like data for baby girls (kg) // Data points are approximate and simplified for demonstration // Real data is more granular and complex (LMS parameters) var data = [ { days: 0, p3: 2.4, p50: 3.5, p97: 4.8 }, // Birth { days: 30, p3: 3.2, p50: 4.3, p97: 5.7 }, // 1 month { days: 60, p3: 4.0, p50: 5.1, p97: 6.8 }, // 2 months { days: 90, p3: 4.6, p50: 5.8, p97: 7.6 }, // 3 months { days: 120, p3: 5.1, p50: 6.4, p97: 8.3 }, // 4 months { days: 150, p3: 5.5, p50: 6.9, p97: 8.9 }, // 5 months { days: 180, p3: 5.8, p50: 7.3, p97: 9.4 }, // 6 months { days: 210, p3: 6.1, p50: 7.6, p97: 9.8 }, // 7 months { days: 240, p3: 6.3, p50: 7.9, p97: 10.2 }, // 8 months { days: 270, p3: 6.5, p50: 8.1, p97: 10.5 }, // 9 months { days: 300, p3: 6.7, p50: 8.3, p97: 10.8 }, // 10 months { days: 330, p3: 6.8, p50: 8.5, p97: 11.0 }, // 11 months { days: 365, p3: 7.0, p50: 8.7, p97: 11.3 } // 1 year ]; // Find the closest data point or interpolate if needed // For simplicity, we'll find the closest match or use the nearest available var closestData = data[0]; for (var i = 0; i < data.length; i++) { if (ageInDays <= data[i].days) { closestData = data[i]; break; } // If age is beyond the last data point, use the last one if (i === data.length – 1) { closestData = data[i]; } } return closestData; } function calculatePercentile() { var ageDaysInput = document.getElementById("babyAgeDays"); var weightKgInput = document.getElementById("babyWeightKg"); var ageDaysError = document.getElementById("babyAgeDaysError"); var weightKgError = document.getElementById("babyWeightKgError"); var primaryResultDiv = document.getElementById("primaryResult"); var resultP3Div = document.getElementById("resultP3"); var resultP50Div = document.getElementById("resultP50"); var resultP97Div = document.getElementById("resultP97"); var dataTableBody = document.getElementById("dataTableBody"); // Reset errors ageDaysError.innerText = ""; ageDaysError.classList.remove("visible"); weightKgError.innerText = ""; weightKgError.classList.remove("visible"); var ageDays = parseFloat(ageDaysInput.value); var weightKg = parseFloat(weightKgInput.value); var isValid = true; if (isNaN(ageDays) || ageDays 365 * 2) { // Limit to roughly 2 years for this simplified data ageDaysError.innerText = "Age is beyond the supported range for this calculator (up to 2 years)."; ageDaysError.classList.add("visible"); isValid = false; } if (isNaN(weightKg) || weightKg 25) { // Reasonable upper limit for a 2-year-old weightKgError.innerText = "Weight seems unusually high for this age range."; weightKgError.classList.add("visible"); isValid = false; } if (!isValid) { primaryResultDiv.innerText = "–"; resultP3Div.innerText = "P3: –"; resultP50Div.innerText = "P50: –"; resultP97Div.innerText = "P97: –"; clearChart(); return; } var growthData = getGrowthData(ageDays); // Simple linear interpolation for percentile if needed, or use nearest data point // For this example, we'll use the nearest data point's P3, P50, P97 values var p3Weight = growthData.p3; var p50Weight = growthData.p50; var p97Weight = growthData.p97; var percentile = "–"; var percentileValue = 0; if (weightKg p97Weight) { percentileValue = Math.min(100, Math.round(97 + ((weightKg – p97Weight) / (p97Weight * 1.1)) * 3)); // Estimate above P97, crude approximation } else if (weightKg === p50Weight) { percentileValue = 50; } else { // Interpolate between percentiles var range50_97 = p97Weight – p50Weight; var range3_50 = p50Weight – p3Weight; if (weightKg > p50Weight && weightKg = p3Weight && weightKg < p50Weight) { percentileValue = Math.round(3 + ((weightKg – p3Weight) / range3_50) * 47); } else { percentileValue = 50; // Default if calculation fails } } percentile = percentileValue + "th"; primaryResultDiv.innerText = percentile; resultP3Div.innerText = "P3: " + p3Weight.toFixed(2) + " kg"; resultP50Div.innerText = "P50: " + p50Weight.toFixed(2) + " kg"; resultP97Div.innerText = "P97: " + p97Weight.toFixed(2) + " kg"; // Update Table populateTable(ageDays); // Update Chart updateChart(ageDays, weightKg, p3Weight, p50Weight, p97Weight, percentileValue); // Store current values for copy functionality window.currentResults = { percentile: primaryResultDiv.innerText, p3: resultP3Div.innerText, p50: resultP50Div.innerText, p97: resultP97Div.innerText, age: ageDaysInput.value + " days", weight: weightKgInput.value + " kg", formula: "WHO Growth Standards (approximate)", chartData: { babyWeight: weightKg, babyPercentile: percentileValue } }; } function populateTable(currentAgeDays) { var dataTableBody = document.getElementById("dataTableBody"); dataTableBody.innerHTML = ''; // Clear previous data var dataPoints = [ { days: 0, p3: 2.4, p50: 3.5, p97: 4.8 }, { days: 30, p3: 3.2, p50: 4.3, p97: 5.7 }, { days: 60, p3: 4.0, p50: 5.1, p97: 6.8 }, { days: 90, p3: 4.6, p50: 5.8, p97: 7.6 }, { days: 120, p3: 5.1, p50: 6.4, p97: 8.3 }, { days: 150, p3: 5.5, p50: 6.9, p97: 8.9 }, { days: 180, p3: 5.8, p50: 7.3, p97: 9.4 }, { days: 210, p3: 6.1, p50: 7.6, p97: 9.8 }, { days: 240, p3: 6.3, p50: 7.9, p97: 10.2 }, { days: 270, p3: 6.5, p50: 8.1, p97: 10.5 }, { days: 300, p3: 6.7, p50: 8.3, p97: 10.8 }, { days: 330, p3: 6.8, p50: 8.5, p97: 11.0 }, { days: 365, p3: 7.0, p50: 8.7, p97: 11.3 } ]; // Highlight the row closest to the current age dataPoints.forEach(function(point) { var row = dataTableBody.insertRow(); var cellAge = row.insertCell(); var cellP3 = row.insertCell(); var cellP50 = row.insertCell(); var cellP97 = row.insertCell(); cellAge.innerText = point.days === 0 ? "Birth" : point.days + " days"; cellP3.innerText = point.p3.toFixed(2) + " kg"; cellP50.innerText = point.p50.toFixed(2) + " kg"; cellP97.innerText = point.p97.toFixed(2) + " kg"; // Highlight the row closest to the input age if (Math.abs(point.days – currentAgeDays) < 30) { // Highlight within a month range row.style.backgroundColor = "#e0f7fa"; // Light cyan highlight row.style.fontWeight = "bold"; } }); } function updateChart(ageDays, babyWeight, p3Weight, p50Weight, p97Weight, babyPercentile) { var ctx = document.getElementById('weightChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Prepare chart data points – simplified for visualization var chartAgePoints = [0, 30, 60, 90, 120, 150, 180, 210, 240, 270, 300, 330, 365]; var chartP3Weights = [2.4, 3.2, 4.0, 4.6, 5.1, 5.5, 5.8, 6.1, 6.3, 6.5, 6.7, 6.8, 7.0]; var chartP50Weights = [3.5, 4.3, 5.1, 5.8, 6.4, 6.9, 7.3, 7.6, 7.9, 8.1, 8.3, 8.5, 8.7]; var chartP97Weights = [4.8, 5.7, 6.8, 7.6, 8.3, 8.9, 9.4, 9.8, 10.2, 10.5, 10.8, 11.0, 11.3]; // Add the current baby's data point var babyDataPoint = { x: ageDays, y: babyWeight }; var babyPercentileLine = { x: ageDays, y: babyWeight }; // Represented by a point chartInstance = new Chart(ctx, { type: 'line', data: { labels: chartAgePoints.map(function(d) { return d === 0 ? "Birth" : d + "d"; }), datasets: [ { label: 'P3 Weight', data: chartP3Weights.map(function(w, i) { return { x: chartAgePoints[i], y: w }; }), borderColor: 'rgba(255, 99, 132, 0.7)', // Reddish backgroundColor: 'rgba(255, 99, 132, 0.1)', fill: false, tension: 0.1, pointRadius: 0 // Hide points on the line itself }, { label: 'P50 Weight (Median)', data: chartP50Weights.map(function(w, i) { return { x: chartAgePoints[i], y: w }; }), borderColor: 'rgba(54, 162, 235, 0.7)', // Blue backgroundColor: 'rgba(54, 162, 235, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'P97 Weight', data: chartP97Weights.map(function(w, i) { return { x: chartAgePoints[i], y: w }; }), borderColor: 'rgba(75, 192, 192, 0.7)', // Greenish backgroundColor: 'rgba(75, 192, 192, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Your Baby\'s Weight', data: [babyDataPoint], // Single point for the current baby borderColor: 'rgba(255, 206, 86, 1)', // Yellow backgroundColor: 'rgba(255, 206, 86, 1)', fill: false, tension: 0, pointRadius: 8, // Make the baby's point prominent pointStyle: 'circle' } ] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Days)' }, min: 0, max: 365 // Show up to 1 year on X axis }, y: { title: { display: true, text: 'Weight (kg)' }, min: 0, max: 12 // Adjust max based on expected range } }, 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'; } // Add percentile info for the baby's point if (context.dataset.label === "Your Baby's Weight") { label += " (" + babyPercentile + ")"; } return label; } } }, legend: { position: 'top', } } } }); } function clearChart() { var ctx = document.getElementById('weightChart').getContext('2d'); if (chartInstance) { chartInstance.destroy(); chartInstance = null; } // Optionally clear canvas visually if destroy doesn't fully clear background ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); } function resetCalculator() { document.getElementById("babyAgeDays").value = 90; document.getElementById("babyWeightKg").value = 7.5; document.getElementById("babyAgeDaysError").innerText = ""; document.getElementById("babyAgeDaysError").classList.remove("visible"); document.getElementById("babyWeightKgError").innerText = ""; document.getElementById("babyWeightKgError").classList.remove("visible"); document.getElementById("primaryResult").innerText = "–"; document.getElementById("resultP3").innerText = "P3: –"; document.getElementById("resultP50").innerText = "P50: –"; document.getElementById("resultP97").innerText = "P97: –"; document.getElementById("dataTableBody").innerHTML = ''; clearChart(); window.currentResults = null; // Clear stored results } function copyResults() { if (!window.currentResults) { alert("No results to copy yet. Please calculate first."); return; } var resultsText = "Baby Girl Weight Percentile Results (Australia):\n\n"; resultsText += "Key Assumptions:\n"; resultsText += "- Baby's Age: " + window.currentResults.age + "\n"; resultsText += "- Baby's Weight: " + window.currentResults.weight + "\n"; resultsText += "- Growth Standard: " + window.currentResults.formula + "\n\n"; resultsText += "Calculated Results:\n"; resultsText += "Weight Percentile: " + window.currentResults.percentile + "\n"; resultsText += window.currentResults.p3 + "\n"; resultsText += window.currentResults.p50 + "\n"; resultsText += window.currentResults.p97 + "\n\n"; resultsText += "Chart Data:\n"; resultsText += "- Baby's Weight: " + window.currentResults.chartData.babyWeight.toFixed(2) + " kg\n"; resultsText += "- Baby's Percentile Rank: " + window.currentResults.chartData.babyPercentile + "th\n"; try { navigator.clipboard.writeText(resultsText).then(function() { // Success feedback – maybe change button text briefly var copyButton = document.querySelector('.btn-copy'); var originalText = copyButton.innerText; copyButton.innerText = 'Copied!'; setTimeout(function() { copyButton.innerText = originalText; }, 2000); }).catch(function(err) { console.error('Failed to copy text: ', err); alert('Failed to copy results. Please copy manually.'); }); } catch (e) { console.error('Clipboard API not available: ', e); alert('Clipboard API not available. Please copy results manually from the display.'); } } // Initial calculation on page load if default values are set document.addEventListener('DOMContentLoaded', function() { calculatePercentile(); });

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