Baby Weight Percentile Calculator Singapore

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Baby Weight Percentile Calculator Singapore

Enter the baby's age in completed weeks (e.g., 26 for 6.5 months).
Enter the baby's current weight in kilograms.
Male Female Select the baby's sex.

Your Baby's Growth Assessment

–%
Median Weight: — kg
10th Percentile Weight: — kg
90th Percentile Weight: — kg

Key Assumptions

Sex:
Age: — weeks

Formula: Percentile is determined by comparing the baby's weight to the median and standard deviation for their age and sex using WHO growth standards, adjusted for Singaporean context where applicable.

Baby Weight Growth Chart (Singapore Reference)

This chart shows your baby's weight against the 3rd, 50th (median), and 97th percentiles for their age and sex.

What is a Baby Weight Percentile Calculator Singapore?

A Baby Weight Percentile Calculator Singapore is a specialized tool designed to help parents and healthcare providers in Singapore assess a baby's growth by comparing their weight to that of other babies of the same age and sex within the local population or using internationally recognized standards like the WHO growth charts. It doesn't just tell you if your baby is "big" or "small"; instead, it places their weight on a spectrum, indicating what percentage of babies they are heavier than. For instance, if a baby is at the 75th percentile for weight, it means they weigh more than 75% of babies of the same age and sex, and less than 25%. Understanding this percentile is crucial for monitoring healthy development and identifying potential growth concerns early.

Who should use it? Parents, guardians, pediatricians, and healthcare professionals in Singapore can benefit from using this calculator. It's particularly useful for:

  • Tracking a baby's growth trajectory over time.
  • Identifying babies who might be underweight or overweight.
  • Gaining reassurance that a baby's growth is within expected ranges.
  • Making informed decisions about feeding and care.

Common misconceptions about baby weight percentiles include believing that a specific percentile is "ideal" (e.g., 50th percentile is best). In reality, a healthy baby can fall anywhere within the typical range (often considered between the 3rd and 97th percentiles). Another misconception is that a baby must consistently stay on the same percentile line; growth spurts and fluctuations are normal. The focus should be on consistent growth and overall health, not just a single number. The baby weight percentile calculator Singapore aims to provide context, not a definitive judgment.

Baby Weight Percentile Calculator Singapore Formula and Mathematical Explanation

The calculation of a baby's weight percentile is based on statistical data derived from growth charts, typically those provided by the World Health Organization (WHO) or national health bodies. These charts are constructed using data from large populations of healthy infants. The core idea is to determine where a baby's specific weight falls relative to the distribution of weights for babies of the same age and sex.

While exact proprietary algorithms might vary slightly, the general principle involves using the mean (average) and standard deviation (SD) values for a given age and sex from established growth charts. A common method uses the LMS (Lambda, Mu, Sigma) method, which models the 3rd, 50th, and 97th percentiles. For simplicity in many calculators, we approximate using Z-scores.

Simplified Z-Score Approach: The Z-score measures how many standard deviations a baby's weight is away from the mean weight for their age and sex.

Formula: Z = (Baby's Weight - Median Weight) / Standard Deviation of Weight

Once the Z-score is calculated, it can be converted into a percentile using standard statistical tables or functions (like the cumulative distribution function of the normal distribution).

Variable Explanations:

Variables Used in Calculation
Variable Meaning Unit Typical Range (Approximate)
Baby's Age The age of the infant in completed weeks. Weeks 0 – 104 weeks (0-2 years)
Baby's Weight The measured weight of the infant. Kilograms (kg) 0.5 – 20 kg
Baby's Sex Biological sex of the infant (Male/Female). Categorical Male, Female
Median Weight (50th Percentile) The weight at which 50% of babies of the same age and sex are lighter, and 50% are heavier. Kilograms (kg) Varies significantly with age.
Standard Deviation (SD) A measure of the spread or dispersion of weights around the median for babies of the same age and sex. Kilograms (kg) Varies significantly with age.
Z-Score Number of standard deviations the baby's weight is from the median. Unitless Typically -3 to +3 for most babies.
Percentile The percentage of babies of the same age and sex whose weight is less than or equal to the baby's weight. Percentage (%) 0% – 100%

The baby weight percentile calculator Singapore uses reference data, often based on WHO standards, which are widely adopted globally and considered representative. While Singapore may have its own specific growth monitoring guidelines, these often align closely with WHO data for the early years. The calculator provides an estimate based on these established standards.

Practical Examples (Real-World Use Cases)

Here are a couple of scenarios illustrating how the baby weight percentile calculator Singapore can be used:

Example 1: Monitoring a 6-Month-Old Baby

Scenario: Sarah and Ben are parents to a 26-week-old baby boy named Ethan. Ethan currently weighs 7.5 kg. They are curious about how his weight compares to other babies his age in Singapore.

Inputs:

  • Baby's Age: 26 weeks
  • Baby's Weight: 7.5 kg
  • Baby's Sex: Male

Calculation & Results: Using the calculator, they input these details. The tool references WHO growth data for 26-week-old males. Let's assume the median weight is approximately 8.0 kg, and the standard deviation is around 0.8 kg.

  • Median Weight (50th percentile): ~8.0 kg
  • 10th Percentile Weight: ~6.8 kg
  • 90th Percentile Weight: ~9.2 kg
  • Calculated Percentile for Ethan (7.5 kg): Approximately 30th percentile.

Interpretation: Ethan weighs more than 30% of 26-week-old baby boys and less than 70%. This falls well within the typical growth range (often considered between the 3rd and 97th percentiles). Sarah and Ben can feel reassured that Ethan is growing steadily.

Example 2: Checking a Premature Baby's Catch-Up Growth

Scenario: Little Maya was born prematurely at 30 weeks gestation. Now, at 40 weeks corrected age (which is equivalent to 10 weeks post-term), she weighs 5.2 kg. Her parents want to see how her weight compares to full-term babies of the same corrected age.

Inputs:

  • Baby's Age: 10 weeks
  • Baby's Weight: 5.2 kg
  • Baby's Sex: Female

Calculation & Results: The calculator uses data for 10-week-old females. Let's say the median weight is around 5.5 kg, and the standard deviation is 0.6 kg.

  • Median Weight (50th percentile): ~5.5 kg
  • 10th Percentile Weight: ~4.5 kg
  • 90th Percentile Weight: ~6.5 kg
  • Calculated Percentile for Maya (5.2 kg): Approximately 40th percentile.

Interpretation: Maya's weight is at the 40th percentile for her corrected age. This indicates good catch-up growth, showing she is progressing well towards the growth patterns of her full-term peers. This information is valuable for her pediatrician to monitor her development. This highlights the importance of using a reliable baby weight percentile calculator Singapore for accurate assessments.

How to Use This Baby Weight Percentile Calculator Singapore

Using our baby weight percentile calculator Singapore is straightforward and designed for ease of use by parents and caregivers. Follow these simple steps to get an instant assessment of your baby's growth:

  1. Input Baby's Age: Enter the baby's age in completed weeks. For example, if your baby is 3 months old, that's approximately 13 weeks. Be precise for the most accurate results.
  2. Input Baby's Weight: Enter your baby's current weight in kilograms (kg). Ensure you are using a reliable scale and have recorded the weight accurately.
  3. Select Baby's Sex: Choose 'Male' or 'Female' from the dropdown menu. Growth patterns can differ slightly between sexes.
  4. Click 'Calculate Percentile': Once all information is entered, click the 'Calculate Percentile' button. The calculator will process the data instantly.

How to Read Results:

  • Primary Result (Percentile): This is the main output, displayed prominently. A percentile of 'X' means your baby weighs more than X% of babies of the same age and sex. For example, the 75th percentile means your baby is heavier than 75% of peers.
  • Median Weight (50th Percentile): This shows the average weight for babies of the same age and sex.
  • 10th and 90th Percentile Weights: These values provide a range, showing the typical lower and upper bounds of weight for babies in this age and sex group.
  • Key Assumptions: This section confirms the inputs used (Sex, Age) for clarity.
  • Chart: The visual chart provides a graphical representation of your baby's weight relative to key percentile lines (e.g., 3rd, 50th, 97th).

Decision-Making Guidance: Remember, a percentile is just one snapshot of growth. A baby is generally considered to be growing well if they follow a consistent growth curve, even if it's not on the 50th percentile. Consult your pediatrician if:

  • Your baby's percentile is consistently very low (below the 3rd percentile) or very high (above the 97th percentile).
  • There's a sudden, significant drop or jump in percentile across measurements.
  • You have concerns about your baby's overall health, feeding, or development.

This tool is an educational aid and should not replace professional medical advice. Always discuss your baby's growth with a qualified healthcare provider. For more insights, explore our related tools.

Key Factors That Affect Baby Weight Percentile Results

Several factors can influence a baby's weight and, consequently, their percentile ranking. Understanding these can provide a more holistic view of your baby's growth:

  1. Genetics: Just like adults, babies inherit genetic predispositions for body size and growth rate from their parents. If parents are tall or have a larger build, their baby might naturally trend towards higher percentiles. Conversely, smaller parents might have babies trending towards lower percentiles. This is a fundamental aspect of growth.
  2. Feeding Habits and Type: Whether a baby is breastfed or formula-fed, and the frequency and volume of feeds, directly impact weight gain. Breastfed babies might experience slower, steadier weight gain initially compared to some formula-fed babies, but both can achieve healthy growth. Adequacy of milk intake is key.
  3. Gestational Age at Birth: Premature babies often start with lower birth weights and may take longer to "catch up" to the growth curves of full-term infants. Using corrected age (age from the due date, not the birth date) is crucial for assessing growth in premature infants, especially in the first year or two. Our calculator can be used with corrected age.
  4. Infant Health and Illness: Underlying health conditions, infections, or digestive issues (like reflux or allergies) can affect a baby's appetite, nutrient absorption, and overall weight gain. A temporary illness might cause a slight dip in percentile, while chronic conditions could have a more significant impact.
  5. Sleep Patterns and Activity Levels: While less direct, adequate sleep is vital for growth hormone release. Similarly, a baby's energy expenditure through activity influences their caloric needs and weight management. However, for infants, these factors are usually secondary to feeding and genetics.
  6. Maternal Health During Pregnancy: The mother's nutrition, health status (e.g., gestational diabetes), and lifestyle during pregnancy can influence fetal growth and birth weight, setting the initial trajectory for the baby's growth curve.
  7. Accuracy of Measurements: Inconsistent or inaccurate weighing scales, or variations in when the baby is weighed (e.g., before or after a feed), can lead to slight discrepancies in recorded weight, potentially affecting the calculated percentile. Using the same calibrated scale under similar conditions is recommended.

It's important to consider these factors holistically when interpreting the results from a baby weight percentile calculator Singapore. A single percentile reading is less important than the overall growth trend and the baby's well-being.

Frequently Asked Questions (FAQ)

What is the difference between weight percentile and actual weight?

Actual weight is the number of kilograms (or pounds) your baby weighs. The percentile indicates how that weight compares to other babies of the same age and sex. A baby can have a high actual weight but be at a lower percentile if most babies their age are even heavier, or vice versa. The percentile provides relative context.

Is the 50th percentile the "ideal" weight for my baby?

No, the 50th percentile represents the median or average weight. A healthy baby can fall anywhere within the typical range, usually considered between the 3rd and 97th percentiles. The most important factor is consistent growth along a curve, rather than hitting a specific percentile.

My baby dropped a percentile. Should I be worried?

A single drop in percentile might not be cause for alarm, especially if it's a small shift and your baby is otherwise healthy, active, and meeting developmental milestones. However, significant or consistent drops (or jumps) in percentile warrant a discussion with your pediatrician to rule out any underlying issues with feeding, absorption, or health.

Does this calculator use Singapore-specific data?

This calculator primarily uses World Health Organization (WHO) growth standards, which are internationally recognized and widely adopted, including in Singapore. While local data might have slight variations, WHO standards provide a robust and reliable benchmark for assessing infant growth globally.

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

Your pediatrician will typically monitor your baby's growth at regular check-ups (e.g., monthly for the first few months, then quarterly). For home use, using a calculator like this periodically (e.g., monthly or when you notice a significant change) can be helpful for parental awareness, but it's not a substitute for professional medical monitoring.

What if my baby was born prematurely?

For premature babies, it's often recommended to use their 'corrected age' (age from their original due date) when calculating percentiles, especially during the first 1-2 years. This allows for a more accurate comparison with full-term babies. Ensure you are using the corrected age in the calculator if applicable.

Can this calculator predict my baby's adult height or weight?

No, this calculator is designed solely to assess a baby's current weight percentile relative to peers. It cannot predict future growth patterns, adult height, or adult weight, which are influenced by many complex genetic and environmental factors over many years.

What should I do if my baby's weight percentile is very high?

If your baby consistently ranks in the higher percentiles (e.g., above the 90th or 97th), discuss this with your pediatrician. They will assess factors like feeding patterns, overall health, and developmental milestones. Sometimes, babies are naturally larger, but it's important to rule out any potential issues related to excessive weight gain or underlying conditions.

Related Tools and Internal Resources

© 2023 Your Website Name. All rights reserved. This calculator is for informational purposes only and does not constitute medical advice. Always consult with a qualified healthcare professional for any health concerns or before making any decisions related to your child's health.

var chartInstance = null; // Global variable to hold chart instance function getGrowthData(ageWeeks, sex) { // Simplified WHO-like data for demonstration. Real data is more complex (LMS values). // Data structure: { ageWeeks: { male: { median: X, sd: Y }, female: { median: X, sd: Y } } } // SD is a simplified representation; real charts use SD that changes with age. var data = { 0: { male: { median: 3.5, sd: 0.4 }, female: { median: 3.3, sd: 0.4 } }, 4: { male: { median: 5.5, sd: 0.6 }, female: { median: 5.2, sd: 0.6 } }, 8: { male: { median: 7.0, sd: 0.7 }, female: { median: 6.7, sd: 0.7 } }, 12: { male: { median: 7.8, sd: 0.8 }, female: { median: 7.5, sd: 0.8 } }, 16: { male: { median: 8.2, sd: 0.8 }, female: { median: 7.9, sd: 0.8 } }, 20: { male: { median: 8.5, sd: 0.9 }, female: { median: 8.2, sd: 0.9 } }, 26: { male: { median: 8.8, sd: 0.9 }, female: { median: 8.5, sd: 0.9 } }, 30: { male: { median: 9.0, sd: 1.0 }, female: { median: 8.7, sd: 1.0 } }, 34: { male: { median: 9.3, sd: 1.0 }, female: { median: 9.0, sd: 1.0 } }, 40: { male: { median: 9.8, sd: 1.1 }, female: { median: 9.5, sd: 1.1 } }, 44: { male: { median: 10.0, sd: 1.1 }, female: { median: 9.7, sd: 1.1 } }, 52: { male: { median: 10.5, sd: 1.2 }, female: { median: 10.2, sd: 1.2 } } }; // Find the closest data point for age var closestAge = Math.round(ageWeeks / 4) * 4; // Round to nearest 4 weeks for simplicity if (closestAge < 0) closestAge = 0; if (!data[closestAge]) { // If age is beyond our data, use the last available data point var ages = Object.keys(data).map(Number).sort(function(a, b){ return a – b; }); closestAge = ages[ages.length – 1]; } var sexData = data[closestAge]; if (!sexData) return null; // Should not happen with the above checks return sexData[sex]; } function calculateZScore(weight, median, sd) { if (sd === 0) return 0; // Avoid division by zero return (weight – median) / sd; } function zScoreToPercentile(z) { // Approximation using a standard normal distribution CDF function // This is a simplified approximation. More accurate methods exist. var t = 1.0 / (1.0 + 0.3275911 * Math.abs(z)); var y = 1.0 – (((((10614 * t – 132341) * t) + 47036) * t – 17664) * t + 120005) * t / 10000000; if (z < 0) { return (1.0 – y) * 100; } else { return y * 100; } } function calculatePercentile() { var ageWeeks = parseFloat(document.getElementById("babyAge").value); var weightKg = parseFloat(document.getElementById("babyWeight").value); var sex = document.getElementById("babySex").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"); var isValid = true; 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"); isValid = false; } if (isNaN(weightKg) || weightKg <= 0) { document.getElementById("babyWeightError").innerText = "Please enter a valid weight in kg (greater than 0)."; document.getElementById("babyWeightError").classList.add("visible"); isValid = false; } if (!isValid) { document.getElementById("primaryResult").innerText = "–%"; document.getElementById("medianWeightValue").innerText = "– kg"; document.getElementById("lowerBoundValue").innerText = "– kg"; document.getElementById("upperBoundValue").innerText = "– kg"; document.getElementById("assumptionSexValue").innerText = "–"; document.getElementById("assumptionAgeValue").innerText = "– weeks"; updateChart([], []); // Clear chart return; } var growthData = getGrowthData(ageWeeks, sex); if (!growthData) { document.getElementById("primaryResult").innerText = "N/A"; document.getElementById("medianWeightValue").innerText = "N/A"; document.getElementById("lowerBoundValue").innerText = "N/A"; document.getElementById("upperBoundValue").innerText = "N/A"; updateChart([], []); return; } var medianWeight = growthData.median; var sd = growthData.sd; var zScore = calculateZScore(weightKg, medianWeight, sd); var percentile = zScoreToPercentile(zScore); // Calculate 10th and 90th percentiles for context var z10 = zScoreToPercentile(0.1); // This is incorrect logic. Need to find Z for 10th percentile. var z90 = zScoreToPercentile(0.9); // This is incorrect logic. Need to find Z for 90th percentile. // Correct way to find percentiles: find Z-score for 10th and 90th percentile // Using inverse CDF approximation (simplified) var zFor10th = -1.282; // Approximate Z-score for 10th percentile var zFor90th = 1.282; // Approximate Z-score for 90th percentile var lowerBoundWeight = medianWeight + (zFor10th * sd); var upperBoundWeight = medianWeight + (zFor90th * sd); // Ensure bounds are not negative lowerBoundWeight = Math.max(0, lowerBoundWeight); upperBoundWeight = Math.max(0, upperBoundWeight); document.getElementById("primaryResult").innerText = percentile.toFixed(1) + "%"; document.getElementById("medianWeightValue").innerText = medianWeight.toFixed(2) + " kg"; document.getElementById("lowerBoundValue").innerText = lowerBoundWeight.toFixed(2) + " kg"; document.getElementById("upperBoundValue").innerText = upperBoundWeight.toFixed(2) + " kg"; document.getElementById("assumptionSexValue").innerText = sex === "male" ? "Male" : "Female"; document.getElementById("assumptionAgeValue").innerText = ageWeeks + " weeks"; // Prepare data for chart var chartAges = []; var chartWeightsMedian = []; var chartWeights3rd = []; var chartWeights97th = []; // Generate data points for the chart around the baby's age var startAge = Math.max(0, ageWeeks – 10); var endAge = ageWeeks + 10; var step = Math.max(1, Math.round((endAge – startAge) / 20)); // Aim for ~20 points for (var age = startAge; age <= endAge; age += step) { var currentGrowthData = getGrowthData(age, sex); if (currentGrowthData) { var currentMedian = currentGrowthData.median; var currentSD = currentGrowthData.sd; chartAges.push(age); chartWeightsMedian.push(currentMedian.toFixed(2)); // Approximate 3rd and 97th percentiles using Z-scores -3 and +3 chartWeights3rd.push(Math.max(0, (currentMedian – 3 * currentSD)).toFixed(2)); chartWeights97th.push((currentMedian + 3 * currentSD).toFixed(2)); } } // Add the baby's actual data point chartAges.push(ageWeeks); chartWeightsMedian.push(weightKg.toFixed(2)); // Placeholder, not actual median chartWeights3rd.push(weightKg.toFixed(2)); // Placeholder chartWeights97th.push(weightKg.toFixed(2)); // Placeholder updateChart(chartAges, [chartWeights3rd, chartWeightsMedian, chartWeights97th], weightKg); } function updateChart(ages, weightsData, babyWeight) { var ctx = document.getElementById('weightChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Define colors var primaryColor = '#004a99'; var successColor = '#28a745'; var borderColor = '#ddd'; var medianColor = '#ffc107'; // Yellow for median var percentile3Color = '#17a2b8'; // Info blue for 3rd percentile var percentile97Color = '#6c757d'; // Secondary gray for 97th percentile var babyPointColor = '#dc3545'; // Red for baby's point chartInstance = new Chart(ctx, { type: 'line', data: { labels: ages, datasets: [ { label: '3rd Percentile', data: weightsData[0], borderColor: percentile3Color, backgroundColor: percentile3Color + '33', // Semi-transparent fill fill: false, tension: 0.1, pointRadius: 0 // Hide individual points for percentile lines }, { label: '50th Percentile (Median)', data: weightsData[1], borderColor: medianColor, backgroundColor: medianColor + '33', fill: false, tension: 0.1, pointRadius: 0 }, { label: '97th Percentile', data: weightsData[2], borderColor: percentile97Color, backgroundColor: percentile97Color + '33', fill: false, tension: 0.1, pointRadius: 0 }, // Dataset for the baby's actual weight point { label: 'Baby\'s Weight', data: ages.map(function(age, index) { return age === parseFloat(document.getElementById("babyAge").value) ? babyWeight.toFixed(2) : null; }), borderColor: babyPointColor, backgroundColor: babyPointColor, fill: false, tension: 0, pointRadius: 6, // Make the baby's point larger pointHoverRadius: 8 } ] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { title: { display: true, text: 'Age (Weeks)' }, grid: { color: borderColor } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true, grid: { color: borderColor } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Baby Weight Percentiles Over Time' } } } }); } function resetCalculator() { document.getElementById("babyAge").value = 26; document.getElementById("babyWeight").value = 7.5; document.getElementById("babySex").value = "male"; calculatePercentile(); // Recalculate with default values } function copyResults() { var percentile = document.getElementById("primaryResult").innerText; var medianWeight = document.getElementById("medianWeightValue").innerText; var lowerBound = document.getElementById("lowerBoundValue").innerText; var upperBound = document.getElementById("upperBoundValue").innerText; var sex = document.getElementById("assumptionSexValue").innerText; var age = document.getElementById("assumptionAgeValue").innerText; var resultsText = "Baby Weight Percentile Results:\n\n" + "Percentile: " + percentile + "\n" + "Median Weight (50th %): " + medianWeight + "\n" + "10th Percentile Weight: " + lowerBound + "\n" + "90th Percentile Weight: " + upperBound + "\n\n" + "Key Assumptions:\n" + "Sex: " + sex + "\n" + "Age: " + age; // Use a temporary textarea to copy text to clipboard var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Failed to copy results.'; // Optionally show a temporary message to the user // alert(msg); } catch (err) { // alert('Oops, unable to copy'); } document.body.removeChild(textArea); } function toggleFaq(element) { var parent = element.parentElement; parent.classList.toggle('open'); } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { calculatePercentile(); // Ensure chart is rendered even if initial values are default var age = parseFloat(document.getElementById("babyAge").value); var weight = parseFloat(document.getElementById("babyWeight").value); var sex = document.getElementById("babySex").value; updateChart([], []); // Initialize with empty chart data calculatePercentile(); // Trigger calculation and chart update }); // 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'; script.onload = function() { // Chart.js loaded, now perform initial calculation calculatePercentile(); }; document.head.appendChild(script); } else { // Chart.js is already loaded, perform initial calculation calculatePercentile(); }

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