Baby Weight Percentile Canada Calculator

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Baby Weight Percentile Canada Calculator

Understand your baby's growth trajectory using Canadian growth charts.

Calculate Baby Weight Percentile

Enter age in completed weeks from birth.
Enter weight in kilograms.
Male Female Select your baby's sex.

Your Baby's Growth Results

This percentile is determined by comparing your baby's weight and age to the Canadian national growth charts, which are based on data from Statistics Canada and Health Canada. A higher percentile means your baby weighs more than a larger percentage of babies of the same age and sex.

Baby Weight Growth Chart (Example)

This chart illustrates typical weight ranges for babies of the selected sex and age. Your baby's calculated percentile is a point on this spectrum.

Canadian Baby Weight Percentile Data

Age (Weeks) Weight (kg) – 50th Percentile (Male) Weight (kg) – 50th Percentile (Female) Weight (kg) – 3rd Percentile (Male) Weight (kg) – 97th Percentile (Male)
Sample data points from Canadian growth charts. Actual percentiles are interpolated.

What is a Baby Weight Percentile in Canada?

A baby weight percentile in Canada is a way to measure your baby's growth relative to other babies of the same age and sex. It's not about being "ahead" or "behind," but rather about understanding where your baby falls on a spectrum of healthy growth. For instance, if your baby is in the 75th percentile for weight, it means they weigh more than 75% of babies of the same age and sex in Canada, and less than 25%. These percentiles are derived from extensive growth charts developed by Health Canada and based on data from Statistics Canada, ensuring they reflect the Canadian population.

Who should use it? Parents, caregivers, and healthcare providers use baby weight percentile calculators to monitor a baby's growth. It's particularly useful for identifying potential concerns, such as failure to thrive or excessive weight gain, allowing for timely intervention. It helps provide a standardized way to assess if a baby is growing as expected.

Common misconceptions: A common misconception is that a low percentile is always bad. This isn't true. A baby consistently tracking along a specific percentile curve (even a low one) is often a sign of healthy, steady growth. Conversely, a baby rapidly changing percentiles (e.g., jumping from the 50th to the 90th) might warrant a closer look. Another misconception is that percentiles are a measure of health; they are a measure of growth *relative* to peers, not an absolute indicator of health.

Baby Weight Percentile Canada Calculator Formula and Mathematical Explanation

Calculating the exact percentile for a baby's weight involves complex statistical modeling using reference data from growth charts. These charts are typically based on the WHO (World Health Organization) growth standards, adapted and validated for Canadian populations. The core idea is to find where the baby's specific weight-for-age falls on a distribution curve for their sex and age.

While a precise, universally published formula for direct calculation is complex and often proprietary to charting software, the underlying principle involves comparing the baby's measurement (weight) against the mean and standard deviations of the reference population at that specific age. The percentile represents the cumulative probability of a baby having a weight less than or equal to the baby in question.

For practical purposes, calculators use algorithms that interpolate values from detailed growth chart data (often provided in tables or mathematical functions). The process generally involves:

  1. Identifying the correct growth chart based on the baby's sex (male/female).
  2. Locating the baby's age on the chart's x-axis.
  3. Finding the baby's weight on the y-axis.
  4. Determining which percentile curve the baby's data point falls on.

The calculator simplifies this by referencing pre-calculated data points or using statistical functions that approximate the percentile based on age and weight.

Variables Used:

Variable Meaning Unit Typical Range
Age Baby's age since birth Weeks 0 – 104 (approx. 2 years)
Weight Baby's current weight Kilograms (kg) 0.5 – 20+
Sex Baby's biological sex Categorical Male / Female
Percentile The calculated growth percentile % 0 – 100

Practical Examples (Real-World Use Cases)

Understanding how the baby weight percentile calculator works in practice can be very helpful. Here are a couple of scenarios:

Example 1: A Healthy 6-Month-Old

Sarah and Tom bring their baby boy, Leo, for his 6-month check-up. Leo was born full-term. At his appointment, Leo weighs 8.2 kg and is exactly 26 weeks old. They input these details into the calculator:

  • Age: 26 weeks
  • Weight: 8.2 kg
  • Sex: Male

The calculator outputs:

  • Main Result: 65th Percentile
  • Intermediate: Age-appropriate weight range (Male, 26 weeks): 6.5 kg – 9.8 kg
  • Intermediate: Baby's weight relative to average: 0.7 kg above the 50th percentile median
  • Intermediate: Growth trend indicator: Stable percentile tracking

Interpretation: Leo is growing well and is heavier than 65% of Canadian boys his age. His weight falls comfortably within the typical range, and his consistent growth suggests a healthy development trajectory. This is reassuring for his parents.

Example 2: A Premature Baby Catching Up

Maria's baby, Chloe, was born 4 weeks premature. Now, at what would have been 30 weeks gestation, Chloe is actually 26 weeks old chronologically. She weighs 6.8 kg. Maria uses the calculator to see how Chloe is doing:

  • Age: 26 weeks
  • Weight: 6.8 kg
  • Sex: Female

The calculator outputs:

  • Main Result: 15th Percentile
  • Intermediate: Age-appropriate weight range (Female, 26 weeks): 5.9 kg – 8.5 kg
  • Intermediate: Baby's weight relative to average: 0.8 kg below the 50th percentile median
  • Intermediate: Growth trend indicator: Catch-up growth observed

Interpretation: Chloe is in the 15th percentile, meaning she weighs less than 85% of Canadian girls her age. However, her weight is within the normal range for her age. Crucially, her pediatrician notes that she has been steadily moving up the percentile charts since birth, indicating successful "catch-up" growth after her premature start. This is a positive sign of development.

How to Use This Baby Weight Percentile Canada Calculator

Using our Baby Weight Percentile Canada 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, that's approximately 14 weeks. Be as accurate as possible.
  2. Enter Baby's Weight: Provide the baby's current weight in kilograms (kg). Ensure you are using the correct unit.
  3. Select Baby's Sex: Choose 'Male' or 'Female' from the dropdown menu. Growth charts differ between sexes.
  4. Click 'Calculate Percentile': Once all information is entered, click the button.

How to read results:

  • Main Result (Percentile): This is the primary output. It tells you how your baby compares to the average Canadian baby of the same age and sex. A percentile is a ranking, not a score.
  • Intermediate Results: These provide context, such as the typical weight range for that age and sex, and how your baby's weight compares to the median (50th percentile).
  • Growth Trend Indicator: This offers a qualitative assessment of the baby's growth pattern.

Decision-making guidance: Remember, this calculator is a tool for information and monitoring, not a substitute for professional medical advice. Always discuss your baby's growth with your pediatrician or healthcare provider. They can interpret the percentile in the context of your baby's overall health, feeding patterns, and individual growth trajectory. Focus on consistent growth along a curve rather than a single percentile number.

Key Factors That Affect Baby Weight Percentile Results

Several factors influence a baby's weight and, consequently, their percentile ranking. Understanding these can help you interpret the results more accurately:

  1. Genetics: Just like adults, babies inherit predispositions for body size and growth rate from their parents. A baby born to larger parents may naturally be in a higher percentile.
  2. Gestational Age at Birth: Premature babies often start in lower percentiles but may experience "catch-up" growth in the first year or two, moving up the percentile charts. Full-term babies typically start closer to the middle percentiles.
  3. Feeding Method and Intake: Breastfed babies and formula-fed babies can have different growth patterns. Adequate milk intake is crucial. Issues with latching, milk supply, or formula preparation can affect weight gain.
  4. Maternal Health During Pregnancy: Conditions like gestational diabetes can affect fetal growth, potentially leading to larger babies (higher percentiles). Maternal nutrition and overall health also play a role.
  5. Infant Health Conditions: Certain medical conditions, such as digestive issues (e.g., reflux, malabsorption), metabolic disorders, or chronic illnesses, can impact a baby's ability to gain weight appropriately.
  6. Activity Level: As babies become more mobile, they burn more calories. While this is a normal part of development, significant increases in activity can influence weight gain patterns.
  7. Sleep Patterns: Adequate sleep is linked to healthy growth and hormone regulation. Disruptions in sleep can sometimes indirectly affect feeding and weight gain.
  8. Environmental Factors: While less direct, factors like exposure to illness or stress in the household could potentially influence a baby's overall well-being and growth.

Frequently Asked Questions (FAQ)

Q1: Is a low percentile always a cause for concern?

A1: Not necessarily. A baby consistently tracking along a lower percentile (e.g., 5th or 10th) can be perfectly healthy if their growth is steady and they are meeting developmental milestones. The key is consistency and consultation with a doctor.

Q2: My baby dropped from the 70th to the 40th percentile. Should I worry?

A2: A significant drop or jump in percentiles warrants a discussion with your pediatrician. They will assess the reason, considering factors like feeding, illness, or changes in growth patterns.

Q3: How often should I use a baby weight percentile calculator?

A3: It's best to use this calculator around scheduled well-baby check-ups or when you have specific concerns. Frequent, unprompted calculations might cause unnecessary anxiety.

Q4: Does this calculator use the latest Canadian growth charts?

A4: This calculator is designed to reflect the principles used with Canadian growth charts, often based on WHO standards adapted for Canada. For the most precise, up-to-date official charts, consult Health Canada resources or your pediatrician.

Q5: What's the difference between weight percentile and BMI percentile?

A5: Weight percentile compares a baby's weight to others of the same age and sex. BMI percentile compares a baby's Body Mass Index (calculated from weight and height) to others of the same age and sex. BMI percentile is more commonly used for older children.

Q6: Can I use this calculator for twins?

A6: Yes, you can calculate the percentile for each twin individually using their specific age, weight, and sex. Remember that twins may have different growth trajectories.

Q7: What if my baby's age is not an exact number of weeks?

A7: Round to the nearest completed week. For example, 26 weeks and 3 days can be entered as 26 weeks. Accuracy is important, but slight rounding is usually acceptable.

Q8: How does prematurity affect percentile calculations?

A8: For premature babies, healthcare providers often use corrected age (gestational age) for the first couple of years. This calculator uses chronological age (actual age since birth). If you are concerned about a premature baby's growth, discuss using corrected age with your doctor.

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// Sample data for Canadian growth charts (simplified for demonstration) // These values are illustrative and not precise official data. var growthData = { male: [ { ageWeeks: 0, p3: 2.5, p50: 3.5, p97: 4.5 }, { ageWeeks: 4, p3: 3.5, p50: 4.8, p97: 6.2 }, { ageWeeks: 8, p3: 4.5, p50: 6.0, p97: 7.8 }, { ageWeeks: 12, p3: 5.2, p50: 6.8, p97: 8.8 }, { ageWeeks: 16, p3: 5.8, p50: 7.4, p97: 9.5 }, { ageWeeks: 20, p3: 6.2, p50: 7.9, p97: 10.1 }, { ageWeeks: 24, p3: 6.5, p50: 8.2, p97: 10.6 }, { ageWeeks: 26, p3: 6.7, p50: 8.4, p97: 10.8 }, { ageWeeks: 28, p3: 6.9, p50: 8.6, p97: 11.0 }, { ageWeeks: 32, p3: 7.2, p50: 8.9, p97: 11.4 }, { ageWeeks: 36, p3: 7.5, p50: 9.2, p97: 11.8 }, { ageWeeks: 40, p3: 7.7, p50: 9.4, p97: 12.0 }, { ageWeeks: 44, p3: 7.9, p50: 9.6, p97: 12.2 }, { ageWeeks: 48, p3: 8.0, p50: 9.7, p97: 12.3 }, { ageWeeks: 52, p3: 8.1, p50: 9.8, p97: 12.4 } ], female: [ { ageWeeks: 0, p3: 2.3, p50: 3.3, p97: 4.3 }, { ageWeeks: 4, p3: 3.3, p50: 4.6, p97: 6.0 }, { ageWeeks: 8, p3: 4.2, p50: 5.7, p97: 7.5 }, { ageWeeks: 12, p3: 4.9, p50: 6.5, p97: 8.5 }, { ageWeeks: 16, p3: 5.5, p50: 7.1, p97: 9.1 }, { ageWeeks: 20, p3: 5.9, p50: 7.6, p97: 9.7 }, { ageWeeks: 24, p3: 6.2, p50: 7.9, p97: 10.1 }, { ageWeeks: 26, p3: 6.3, p50: 8.0, p97: 10.3 }, { ageWeeks: 28, p3: 6.5, p50: 8.2, p97: 10.5 }, { ageWeeks: 32, p3: 6.8, p50: 8.5, p97: 10.9 }, { ageWeeks: 36, p3: 7.1, p50: 8.8, p97: 11.2 }, { ageWeeks: 40, p3: 7.3, p50: 9.0, p97: 11.4 }, { ageWeeks: 44, p3: 7.5, p50: 9.2, p97: 11.6 }, { ageWeeks: 48, p3: 7.6, p50: 9.3, p97: 11.7 }, { ageWeeks: 52, p3: 7.7, p50: 9.4, p97: 11.8 } ] }; var chartInstance = null; function getGrowthDataForAge(ageWeeks, sex) { var dataSet = growthData[sex]; if (!dataSet) return null; // Find the closest data point or interpolate for (var i = 0; i ageWeeks) { if (i === 0) return dataSet[0]; // Before first data point var prev = dataSet[i – 1]; var next = dataSet[i]; var ratio = (ageWeeks – prev.ageWeeks) / (next.ageWeeks – prev.ageWeeks); return { ageWeeks: ageWeeks, p3: prev.p3 + (next.p3 – prev.p3) * ratio, p50: prev.p50 + (next.p50 – prev.p50) * ratio, p97: prev.p97 + (next.p97 – prev.p97) * ratio }; } } return dataSet[dataSet.length – 1]; // After last data point } function calculatePercentile() { var ageWeeks = parseFloat(document.getElementById("babyAge").value); var weightKg = parseFloat(document.getElementById("babyWeight").value); var sex = document.getElementById("babySex").value; var ageError = document.getElementById("babyAgeError"); var weightError = document.getElementById("babyWeightError"); var resultsContainer = document.getElementById("resultsContainer"); var mainResult = document.getElementById("mainResult"); var intermediateResult1 = document.getElementById("intermediateResult1"); var intermediateResult2 = document.getElementById("intermediateResult2"); var intermediateResult3 = document.getElementById("intermediateResult3"); // Reset errors ageError.style.display = 'none'; weightError.style.display = 'none'; resultsContainer.style.display = 'none'; // Validation if (isNaN(ageWeeks) || ageWeeks 104) { // Approx 2 years ageError.textContent = "Please enter a valid age between 0 and 104 weeks."; ageError.style.display = 'block'; return; } if (isNaN(weightKg) || weightKg <= 0) { weightError.textContent = "Please enter a valid weight greater than 0 kg."; weightError.style.display = 'block'; return; } var growthPoint = getGrowthDataForAge(ageWeeks, sex); if (!growthPoint) { resultsContainer.style.display = 'block'; mainResult.textContent = "N/A"; intermediateResult1.innerHTML = "Could not retrieve data for selected sex."; intermediateResult2.innerHTML = ""; intermediateResult3.innerHTML = ""; return; } var p3 = growthPoint.p3; var p50 = growthPoint.p50; var p97 = growthPoint.p97; var percentile = 0; if (weightKg < p3) { percentile = (weightKg / p3) * 3; // Approximate for very low weights } else if (weightKg < p50) { percentile = 3 + ((weightKg – p3) / (p50 – p3)) * 47; } else if (weightKg < p97) { percentile = 50 + ((weightKg – p50) / (p97 – p50)) * 47; } else { percentile = 97 + ((weightKg – p97) / p97) * 3; // Approximate for very high weights } percentile = Math.max(0, Math.min(100, percentile)); // Clamp between 0 and 100 var weightRange = p3.toFixed(2) + " kg – " + p97.toFixed(2) + " kg"; var comparisonToMedian = ""; if (weightKg p50) { comparisonToMedian = (weightKg – p50).toFixed(2) + " kg above the 50th percentile median"; } else { comparisonToMedian = "Exactly on the 50th percentile median"; } var growthTrend = "Stable percentile tracking"; // Basic trend check (requires historical data or more complex logic) // For simplicity, we'll just indicate stability if within range. if (percentile 90) { growthTrend = "May warrant closer monitoring"; } mainResult.textContent = Math.round(percentile) + "th Percentile"; intermediateResult1.innerHTML = "Age-Appropriate Weight Range (" + sex.charAt(0).toUpperCase() + sex.slice(1) + ", " + ageWeeks + " weeks): " + weightRange; intermediateResult2.innerHTML = "Baby's Weight Relative to Average: " + comparisonToMedian; intermediateResult3.innerHTML = "Growth Trend Indicator: " + growthTrend; resultsContainer.style.display = 'block'; updateChart(ageWeeks, weightKg, sex, p3, p50, p97); populateTable(sex); } function updateChart(currentAge, currentWeight, sex, p3, p50, p97) { var ctx = document.getElementById('weightChart').getContext('2d'); // Prepare data for chart var chartDataPoints = []; var ages = []; var p3Values = []; var p50Values = []; var p97Values = []; var currentWeightData = []; var dataSet = growthData[sex]; var maxAge = 0; for (var i = 0; i < dataSet.length; i++) { ages.push(dataSet[i].ageWeeks); p3Values.push(dataSet[i].p3); p50Values.push(dataSet[i].p50); p97Values.push(dataSet[i].p97); if (dataSet[i].ageWeeks maxAge) { ages.push(currentAge); p3Values.push(p3); p50Values.push(p50); p97Values.push(p97); } // Filter data points to show a reasonable range around the current age var filteredAges = []; var filteredP3 = []; var filteredP50 = []; var filteredP97 = []; var filteredCurrentWeight = []; for(var i = 0; i = Math.max(0, currentAge – 12) && ages[i] <= currentAge + 12) { filteredAges.push(ages[i]); filteredP3.push(p3Values[i]); filteredP50.push(p50Values[i]); filteredP97.push(p97Values[i]); if (ages[i] === currentAge) { filteredCurrentWeight.push(currentWeight); } else { filteredCurrentWeight.push(null); // Placeholder for other ages } } } if (chartInstance) { chartInstance.destroy(); } chartInstance = new Chart(ctx, { type: 'line', data: { labels: filteredAges, datasets: [ { label: '3rd Percentile', data: filteredP3, borderColor: '#ffc107', borderWidth: 1, fill: false, pointRadius: 0 }, { label: '50th Percentile (Median)', data: filteredP50, borderColor: '#007bff', borderWidth: 2, fill: false, pointRadius: 0 }, { label: '97th Percentile', data: filteredP97, borderColor: '#ffc107', borderWidth: 1, fill: false, pointRadius: 0 }, { label: 'Your Baby\'s Weight', data: filteredCurrentWeight, borderColor: '#28a745', borderWidth: 3, fill: false, pointRadius: 5, pointHoverRadius: 7 } ] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { title: { display: true, text: 'Age (Weeks)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: false } }, 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 populateTable(sex) { var tableBody = document.querySelector("#percentileTable tbody"); tableBody.innerHTML = ""; // Clear existing rows var dataSet = growthData[sex]; var otherSex = (sex === 'male') ? 'female' : 'male'; var otherSexDataSet = growthData[otherSex]; for (var i = 0; i < dataSet.length; i++) { var row = tableBody.insertRow(); var cellAge = row.insertCell(0); var cellP50Current = row.insertCell(1); var cellP50Other = row.insertCell(2); var cellP3Current = row.insertCell(3); var cellP97Current = row.insertCell(4); cellAge.textContent = dataSet[i].ageWeeks; cellP50Current.textContent = dataSet[i].p50.toFixed(2); cellP50Other.textContent = otherSexDataSet ? otherSexDataSet[i].p50.toFixed(2) : 'N/A'; cellP3Current.textContent = dataSet[i].p3.toFixed(2); cellP97Current.textContent = dataSet[i].p97.toFixed(2); } } function resetCalculator() { document.getElementById("babyAge").value = "26"; // Default to 6 months document.getElementById("babyWeight").value = ""; document.getElementById("babySex").value = "male"; document.getElementById("resultsContainer").style.display = 'none'; document.getElementById("babyAgeError").style.display = 'none'; document.getElementById("babyWeightError").style.display = 'none'; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } // Optionally call calculatePercentile() to show default state or clear results // calculatePercentile(); // Or just clear document.getElementById("mainResult").textContent = "–"; document.getElementById("intermediateResult1").innerHTML = ""; document.getElementById("intermediateResult2").innerHTML = ""; document.getElementById("intermediateResult3").innerHTML = ""; } function copyResults() { var mainResultText = document.getElementById("mainResult").textContent; var intermediate1Text = document.getElementById("intermediateResult1").textContent; var intermediate2Text = document.getElementById("intermediateResult2").textContent; var intermediate3Text = document.getElementById("intermediateResult3").textContent; var ageInput = document.getElementById("babyAge").value; var weightInput = document.getElementById("babyWeight").value; var sexInput = document.getElementById("babySex").value; if (mainResultText === "–") { alert("No results to copy yet. Please calculate first."); return; } var copyText = "Baby Weight Percentile Calculation:\n\n"; copyText += "Inputs:\n"; copyText += "- Age: " + ageInput + " weeks\n"; copyText += "- Weight: " + weightInput + " kg\n"; copyText += "- Sex: " + sexInput.charAt(0).toUpperCase() + sexInput.slice(1) + "\n\n"; copyText += "Results:\n"; copyText += "- Percentile: " + mainResultText + "\n"; copyText += "- " + intermediate1Text + "\n"; copyText += "- " + intermediate2Text + "\n"; copyText += "- " + intermediate3Text + "\n\n"; copyText += "Assumptions: Based on Canadian growth chart data."; navigator.clipboard.writeText(copyText).then(function() { // Success feedback var copyButton = document.querySelector('.copy-button'); var originalText = copyButton.textContent; copyButton.textContent = 'Copied!'; setTimeout(function() { copyButton.textContent = originalText; }, 2000); }, function(err) { console.error('Failed to copy text: ', err); alert('Failed to copy results. Please copy manually.'); }); } // Initial setup when the page loads document.addEventListener('DOMContentLoaded', function() { // Set default values and potentially calculate initial state resetCalculator(); // Sets defaults and clears results/chart // Optionally calculate for default values: // calculatePercentile(); // Or just populate the table initially populateTable(document.getElementById("babySex").value); }); // Add Chart.js library dynamically if not present if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js'; // Use a specific version script.onload = function() { console.log('Chart.js loaded.'); // Now that Chart.js is loaded, we can potentially draw the chart if needed on load // For this setup, we draw it on calculation, so this is just ensuring it's available. }; document.head.appendChild(script); }

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