Baby Age to Weight Percentile Calculator

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Baby Age to Weight Percentile Calculator

Calculate Your Baby's Weight Percentile

Enter age in whole months (0-36 months).
Enter weight in kilograms (e.g., 7.5).
Male Female Select your baby's sex.

Your Baby's Growth Metrics

How it works: This calculator uses standard WHO (World Health Organization) growth charts data. It finds the weight for the given age and sex and then determines where that weight falls on the distribution curve, expressed as a percentile. A higher percentile means the baby weighs more relative to other babies of the same age and sex.
Key Assumptions: Results are based on WHO growth standards, which represent optimal growth for healthy, breastfed infants. Individual variations are normal. Consult your pediatrician for personalized advice.

Baby Weight Percentile Chart (Example)

This chart visually represents the weight-for-age data for your baby's sex, showing the 3rd, 50th (median), and 97th percentiles. Your baby's calculated point is shown for comparison.

WHO Growth Data Reference (Example: Male, 6 Months)

Age (Months) Weight (kg) – 3rd Percentile Weight (kg) – 50th Percentile Weight (kg) – 97th Percentile
This table provides sample data points from the WHO growth charts for a specific age and sex, illustrating the range of typical weights.

What is a Baby Age to Weight Percentile Calculator?

A baby age to weight percentile calculator is a specialized tool designed to help parents, caregivers, and healthcare professionals understand how a baby's weight compares to other babies of the same age and sex. It takes the baby's age (typically in months) and their current weight (usually in kilograms or pounds) as input, along with their sex, and outputs a percentile ranking. This percentile indicates the percentage of babies of the same age and sex whose weight is at or below the baby's measured weight. 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.

Who should use it?

  • Parents and Guardians: To monitor their baby's growth and development, ensuring they are within a healthy range.
  • Pediatricians and Healthcare Providers: To quickly assess a baby's growth trajectory during check-ups and identify potential concerns.
  • Childcare Providers: For general awareness of developmental milestones.

Common Misconceptions:

  • Percentiles are not goals: A baby doesn't need to reach a specific percentile. Consistency in their growth curve is often more important than the absolute percentile number.
  • Higher is always better: While being in a higher percentile isn't inherently bad, extremely high percentiles might warrant further investigation by a doctor. Similarly, very low percentiles can indicate a need for nutritional support.
  • Percentiles are static: Babies' percentiles can change, especially in the first year. This is normal as they establish their individual growth patterns.

Baby Age to Weight Percentile Calculator Formula and Mathematical Explanation

The core of the baby age to weight percentile calculator relies on referencing established growth charts, most commonly those provided by the World Health Organization (WHO) for infants and young children up to age 5. These charts are derived from extensive studies of healthy, well-nourished populations. The "formula" isn't a simple mathematical equation you can solve with basic arithmetic but rather a lookup and interpolation process against a complex dataset.

Step-by-step derivation (Conceptual):

  1. Data Acquisition: Obtain the WHO (or similar) growth chart data for the specified sex (male/female). This data typically includes weight measurements at various ages, broken down by specific percentiles (e.g., 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, 97th).
  2. Age and Sex Matching: Locate the data points corresponding to the baby's exact age (or interpolate between two age points if the exact age isn't listed) and the baby's sex.
  3. Weight Comparison: Compare the baby's actual weight to the weight values listed for the selected age and sex across different percentiles.
  4. Percentile Determination: Determine where the baby's weight falls within this distribution. If the baby's weight is exactly equal to the weight listed for the 50th percentile at that age, they are at the 50th percentile. If their weight falls between the 75th and 90th percentile weights, statistical methods (like linear interpolation) are used to estimate the precise percentile.

Variable Explanations:

Variable Meaning Unit Typical Range
Baby's Age The age of the infant in months. Months 0 – 36 months
Baby's Weight The measured weight of the infant. Kilograms (kg) 0.5 kg – 20 kg (approx.)
Baby's Sex Biological sex of the infant (Male or Female). Categorical Male / Female
Percentile The calculated ranking indicating the percentage of babies of the same age and sex with lower weight. % 0% – 100%

The underlying data for these charts is complex, often involving statistical models (like the LMS method – Lambda, Mu, Sigma) to smooth the curves and ensure accurate percentile calculations across different ages. Our calculator uses pre-computed values derived from these models.

Practical Examples (Real-World Use Cases)

Understanding the baby age to weight percentile calculator is best done through examples:

  1. Example 1: Monitoring Steady Growth

    Scenario: Sarah's baby boy, Leo, is exactly 9 months old and weighs 9.8 kg. Sarah is concerned because Leo seems smaller than some other babies she sees.

    Inputs:

    • Age: 9 months
    • Weight: 9.8 kg
    • Sex: Male

    Calculation: Using the calculator, Leo's weight of 9.8 kg at 9 months old places him at approximately the 50th percentile for weight for his age and sex. The calculator might also show intermediate values like the 3rd percentile weight (around 7.5 kg) and the 97th percentile weight (around 11.5 kg).

    Interpretation: This result indicates Leo is growing right on track, weighing exactly what is typical for a 9-month-old boy. His growth is considered average and healthy. Sarah can be reassured that his growth is following a standard pattern.

  2. Example 2: Identifying Potential Concerns

    Scenario: Mark and Emily's baby girl, Chloe, is 4 months old and weighs 4.5 kg. Chloe was born a bit early and has had some feeding challenges.

    Inputs:

    • Age: 4 months
    • Weight: 4.5 kg
    • Sex: Female

    Calculation: The calculator shows Chloe is at the 10th percentile for weight for her age and sex. The intermediate results might show the 3rd percentile weight is around 3.8 kg and the 50th percentile weight is around 6.2 kg.

    Interpretation: Chloe's weight is below the average but still within the generally accepted healthy range (above the 3rd percentile). However, this percentile might prompt her pediatrician to monitor her feeding more closely, ensure adequate calorie intake, and check for any underlying issues. The focus would be on ensuring she continues to gain weight steadily along her growth curve, even if it remains on the lower end.

How to Use This Baby Age to Weight Percentile Calculator

Using our baby age to weight percentile calculator is straightforward and takes just a few moments. Follow these simple steps:

  1. Step 1: Gather Information You will need your baby's exact age in months and their current weight in kilograms. Ensure you have an accurate measurement from a reliable baby scale.
  2. Step 2: Input Age Enter the baby's age in months into the "Baby's Age (Months)" field. For example, if your baby is 1 year and 3 months old, you would enter 15 months.
  3. Step 3: Input Weight Enter the baby's weight in kilograms into the "Baby's Weight (kg)" field. Use decimals if necessary (e.g., 7.5 kg).
  4. Step 4: Select Sex Choose "Male" or "Female" from the dropdown menu based on your baby's sex.
  5. Step 5: Calculate Click the "Calculate Percentile" button.

How to Read Results:

  • Primary Result: The large, highlighted number is the calculated percentile. For example, "75th Percentile" means your baby weighs more than 75% of babies of the same age and sex.
  • Intermediate Values: These typically show the weight corresponding to key percentiles (like the 3rd and 50th) for your baby's age and sex. This helps contextualize the primary result.
  • Chart: The visual chart plots the 3rd, 50th, and 97th percentiles against age. Your baby's calculated point is often marked, showing their position relative to these curves.
  • Table: The table provides specific weight data points for reference, illustrating the range of typical weights.

Decision-Making Guidance:

  • Consistent Growth: If your baby consistently stays around the same percentile (e.g., always between the 50th and 75th), this usually indicates healthy, steady growth.
  • Significant Changes: A sudden jump or drop in percentile, or consistently falling below the 3rd percentile or above the 97th percentile, warrants a discussion with your pediatrician.
  • Consult Professionals: Remember, this calculator is a tool for information. Always consult your pediatrician or healthcare provider for personalized advice regarding your baby's growth and health. They consider factors beyond just weight and age, such as length, head circumference, and overall health.

Key Factors That Affect Baby Weight Percentile Results

While the baby age to weight percentile calculator provides a snapshot, several factors influence a baby's weight and, consequently, their percentile ranking. Understanding these can provide a more complete picture of your baby's growth:

  1. Genetics: Just like adults, babies inherit genetic predispositions for body size and growth rate. Some babies are naturally larger or smaller than average, regardless of external factors.
  2. Birth Weight and Gestational Age: Premature babies often start with a lower birth weight and may take longer to "catch up" to their full-term peers. Their percentile trajectory might differ initially.
  3. Feeding Method and Intake: Breastfed babies and formula-fed babies can have different growth patterns. The quantity and frequency of feeding directly impact weight gain. Issues like poor latch, low milk supply, or difficulty with bottle feeding can affect weight.
  4. Overall Health and Illness: Illnesses, even common ones like colds or digestive upset, can temporarily slow weight gain or cause a baby to lose weight. Chronic health conditions can have a more significant long-term impact.
  5. Activity Level: As babies become more mobile (crawling, cruising), they burn more calories, which can influence their weight gain rate.
  6. Nutritional Quality: Beyond just calories, the quality of nutrients matters. For older babies starting solids, the types of foods introduced (nutrient-dense vs. calorie-dense but less nutritious) can play a role.
  7. Parental Factors: Parental health, nutrition during pregnancy, and socioeconomic factors can indirectly influence a baby's growth environment and access to resources.
  8. Measurement Accuracy: Inconsistent or inaccurate weighing can lead to misleading percentile results. Using the same calibrated scale under similar conditions is important.

Frequently Asked Questions (FAQ)

What is the ideal baby weight percentile?
There isn't one "ideal" percentile. The most important factor is that your baby is growing consistently along their own growth curve. Most pediatricians consider babies between the 3rd and 97th percentiles to be growing within a normal range. Consistency is key.
My baby dropped a percentile. Should I worry?
A single drop in percentile might not be cause for alarm, especially if it's a small change and your baby is otherwise healthy and meeting milestones. However, significant drops or consistent downward trends should be discussed with your pediatrician to rule out any underlying issues.
My baby is in the 90th percentile. Is that too much weight?
Being in a higher percentile simply means your baby weighs more than the majority of babies their age and sex. If the growth has been consistent and your pediatrician isn't concerned, it's likely normal for your baby. They will assess this in the context of overall health and length.
How often should I measure my baby's weight?
During the first year, pediatricians typically measure weight at regular check-ups (e.g., monthly for the first few months, then every 2-3 months). For home monitoring, focus on consistency and discuss any concerns with your doctor rather than frequent, potentially anxiety-inducing weigh-ins.
Does the calculator work for premature babies?
This calculator uses standard WHO growth charts designed for full-term infants. For premature babies, doctors often use specialized growth charts that account for the "corrected age" (age since the due date, not the birth date) and may show different percentile expectations initially. Consult your pediatrician for premature infant growth tracking.
What's the difference between weight percentile and BMI percentile?
Weight percentile compares a baby's weight to others of the same age and sex. BMI percentile compares a baby's Body Mass Index (BMI), which considers both weight and height, to others of the same age and sex. BMI percentiles are more commonly used for older children to assess weight status categories (underweight, healthy weight, overweight, obesity).
Can I use pounds instead of kilograms?
This specific calculator requires weight in kilograms (kg). If your scale measures in pounds (lbs), you can convert by dividing the weight in pounds by 2.20462. For example, 15 lbs is approximately 6.8 kg.
Are WHO growth charts the only ones available?
The WHO charts are globally recognized standards for infants and young children up to age 5, representing optimal growth. In the US, the CDC (Centers for Disease Control and Prevention) also provides growth charts, which are largely based on WHO data for younger children but extend further. Both are reliable resources.

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// Data for WHO Growth Charts (simplified for demonstration) // Structure: { sex: { age_in_months: { percentile_3: weight, percentile_50: weight, percentile_97: weight } } } var whoGrowthData = { male: { 0: { p3: 2.5, p50: 3.5, p97: 4.8 }, 1: { p3: 3.2, p50: 4.3, p97: 5.8 }, 2: { p3: 3.9, p50: 5.0, p97: 6.7 }, 3: { p3: 4.5, p50: 5.6, p97: 7.3 }, 4: { p3: 5.0, p50: 6.1, p97: 7.9 }, 5: { p3: 5.4, p50: 6.5, p97: 8.4 }, 6: { p3: 5.7, p50: 6.9, p97: 8.8 }, 7: { p3: 6.0, p50: 7.2, p97: 9.1 }, 8: { p3: 6.2, p50: 7.4, p97: 9.4 }, 9: { p3: 6.4, p50: 7.6, p97: 9.6 }, 10: { p3: 6.6, p50: 7.8, p97: 9.8 }, 11: { p3: 6.7, p50: 8.0, p97: 10.0 }, 12: { p3: 6.9, p50: 8.1, p97: 10.2 }, 18: { p3: 7.8, p50: 9.0, p97: 11.3 }, 24: { p3: 8.5, p50: 9.7, p97: 12.2 }, 30: { p3: 9.1, p50: 10.3, p97: 13.0 }, 36: { p3: 9.6, p50: 10.8, p97: 13.6 } }, female: { 0: { p3: 2.3, p50: 3.3, p97: 4.6 }, 1: { p3: 3.0, p50: 4.1, p97: 5.5 }, 2: { p3: 3.7, p50: 4.8, p97: 6.4 }, 3: { p3: 4.2, p50: 5.3, p97: 7.0 }, 4: { p3: 4.7, p50: 5.8, p97: 7.5 }, 5: { p3: 5.1, p50: 6.2, p97: 8.0 }, 6: { p3: 5.4, p50: 6.5, p97: 8.3 }, 7: { p3: 5.6, p50: 6.7, p97: 8.6 }, 8: { p3: 5.8, p50: 6.9, p97: 8.8 }, 9: { p3: 6.0, p50: 7.1, p97: 9.0 }, 10: { p3: 6.1, p50: 7.2, p97: 9.2 }, 11: { p3: 6.3, p50: 7.4, p97: 9.3 }, 12: { p3: 6.4, p50: 7.5, p97: 9.5 }, 18: { p3: 7.2, p50: 8.4, p97: 10.5 }, 24: { p3: 7.9, p50: 9.1, p97: 11.3 }, 30: { p3: 8.4, p50: 9.7, p97: 12.1 }, 36: { p3: 8.9, p50: 10.1, p97: 12.7 } } }; // Function to get weight for a given age, sex, and percentile function getWeightForPercentile(ageMonths, sex, percentile) { var data = whoGrowthData[sex]; if (!data) return null; var ages = Object.keys(data).map(Number).sort(function(a, b){ return a – b; }); var targetAge = Math.max(0, Math.min(36, ageMonths)); // Clamp age between 0 and 36 // Find the two closest ages in the data var lowerAge = ages.filter(function(a){ return a = targetAge; }).shift(); if (lowerAge === undefined) lowerAge = 0; if (upperAge === undefined) upperAge = 36; // Should not happen with 36 included var lowerData = data[lowerAge]; var upperData = data[upperAge]; if (!lowerData || !upperData) return null; // Should not happen var pKey = 'p' + percentile; var lowerWeight = lowerData[pKey]; var upperWeight = upperData[pKey]; if (lowerWeight === undefined || upperWeight === undefined) return null; // Linear interpolation if (lowerAge === upperAge) { return lowerWeight; } else { var weightRange = upperWeight – lowerWeight; var ageRange = upperAge – lowerAge; var ageDiff = targetAge – lowerAge; return lowerWeight + (weightRange * (ageDiff / ageRange)); } } // Function to calculate percentile for a given weight, age, and sex function calculatePercentile(weightKg, ageMonths, sex) { var data = whoGrowthData[sex]; if (!data) return null; var ages = Object.keys(data).map(Number).sort(function(a, b){ return a – b; }); var targetAge = Math.max(0, Math.min(36, ageMonths)); var lowerAge = ages.filter(function(a){ return a = targetAge; }).shift(); if (lowerAge === undefined) lowerAge = 0; if (upperAge === undefined) upperAge = 36; var lowerData = data[lowerAge]; var upperData = data[upperAge]; if (!lowerData || !upperData) return null; var weight3 = lowerData.p3; var weight50 = lowerData.p50; var weight97 = lowerData.p97; var weight3Upper = upperData.p3; var weight50Upper = upperData.p50; var weight97Upper = upperData.p97; // Interpolate weights for the target age var currentWeight3, currentWeight50, currentWeight97; if (lowerAge === upperAge) { currentWeight3 = weight3; currentWeight50 = weight50; currentWeight97 = weight97; } else { var ageRange = upperAge – lowerAge; var ageDiff = targetAge – lowerAge; var factor = ageDiff / ageRange; currentWeight3 = weight3 + (weight3Upper – weight3) * factor; currentWeight50 = weight50 + (weight50Upper – weight50) * factor; currentWeight97 = weight97 + (weight97Upper – weight97) * factor; } // Determine percentile based on interpolated weights if (weightKg <= currentWeight3) { // Simple linear interpolation between 0 and 3rd percentile return (weightKg / currentWeight3) * 3; } else if (weightKg <= currentWeight50) { // Interpolate between 3rd and 50th percentile var weightDiff = currentWeight50 – currentWeight3; var percentileDiff = 50 – 3; return 3 + ((weightKg – currentWeight3) / weightDiff) * percentileDiff; } else if (weightKg <= currentWeight97) { // Interpolate between 50th and 97th percentile var weightDiff = currentWeight97 – currentWeight50; var percentileDiff = 97 – 50; return 50 + ((weightKg – currentWeight50) / weightDiff) * percentileDiff; } else { // Simple linear interpolation above 97th percentile var weightDiff = (currentWeight97 * 1.1) – currentWeight97; // Assume a point slightly above 97th for calculation var percentileDiff = 100 – 97; if (weightDiff <= 0) weightDiff = 0.1; // Avoid division by zero return 97 + ((weightKg – currentWeight97) / weightDiff) * percentileDiff; } } function validateInput(id, min, max, isRequired = true) { var input = document.getElementById(id); var errorElement = document.getElementById(id + 'Error'); var value = input.value.trim(); var numValue = parseFloat(value); errorElement.style.display = 'none'; // Hide previous error if (isRequired && value === '') { errorElement.textContent = 'This field is required.'; errorElement.style.display = 'block'; return false; } if (value !== '' && isNaN(numValue)) { errorElement.textContent = 'Please enter a valid number.'; errorElement.style.display = 'block'; return false; } if (min !== null && numValue max) { errorElement.textContent = 'Value cannot be greater than ' + max + '.'; errorElement.style.display = 'block'; return false; } return true; } function calculatePercentile() { var ageMonths = parseFloat(document.getElementById('babyAgeMonths').value); var weightKg = parseFloat(document.getElementById('babyWeightKg').value); var sex = document.getElementById('babySex').value; var resultsContainer = document.getElementById('results-container'); var primaryResult = document.getElementById('primaryResult'); var intermediateResult1 = document.getElementById('intermediateResult1'); var intermediateResult2 = document.getElementById('intermediateResult2'); var intermediateResult3 = document.getElementById('intermediateResult3'); // Clear previous errors and hide results document.getElementById('babyAgeMonthsError').style.display = 'none'; document.getElementById('babyWeightKgError').style.display = 'none'; document.getElementById('babySexError').style.display = 'none'; resultsContainer.style.display = 'none'; // Validation var isValidAge = validateInput('babyAgeMonths', 0, 36); var isValidWeight = validateInput('babyWeightKg', 0.1); // Min weight 0.1 kg var isValidSex = true; // Select is always valid if populated if (!isValidAge || !isValidWeight) { return; // Stop if validation fails } var percentile = calculatePercentile(weightKg, ageMonths, sex); if (percentile === null) { // Handle cases where data might be missing or calculation failed primaryResult.textContent = 'N/A'; intermediateResult1.innerHTML = 'Could not calculate.'; intermediateResult2.innerHTML = "; intermediateResult3.innerHTML = "; resultsContainer.style.display = 'block'; return; } percentile = Math.round(percentile * 10) / 10; // Round to one decimal place var p3Weight = getWeightForPercentile(ageMonths, sex, 3); var p50Weight = getWeightForPercentile(ageMonths, sex, 50); var p97Weight = getWeightForPercentile(ageMonths, sex, 97); primaryResult.textContent = percentile + 'th Percentile'; intermediateResult1.innerHTML = 'Weight at 3rd Percentile: ' + (p3Weight ? p3Weight.toFixed(2) + ' kg' : 'N/A') + ''; intermediateResult2.innerHTML = 'Weight at 50th Percentile (Median): ' + (p50Weight ? p50Weight.toFixed(2) + ' kg' : 'N/A') + ''; intermediateResult3.innerHTML = 'Weight at 97th Percentile: ' + (p97Weight ? p97Weight.toFixed(2) + ' kg' : 'N/A') + ''; resultsContainer.style.display = 'block'; updateChart(ageMonths, weightKg, sex, percentile, p3Weight, p50Weight, p97Weight); updateTable(ageMonths, sex); } function resetCalculator() { document.getElementById('babyAgeMonths').value = 6; document.getElementById('babyWeightKg').value = 7.5; document.getElementById('babySex').value = 'male'; document.getElementById('babyAgeMonthsError').style.display = 'none'; document.getElementById('babyWeightKgError').style.display = 'none'; document.getElementById('babySexError').style.display = 'none'; document.getElementById('results-container').style.display = 'none'; if (chartInstance) { chartInstance.destroy(); // Destroy previous chart instance chartInstance = null; } document.getElementById('growthDataTable').getElementsByTagName('tbody')[0].innerHTML = "; // Clear table body } function copyResults() { var primaryResultText = document.getElementById('primaryResult').textContent; var intermediate1Text = document.getElementById('intermediateResult1').textContent; var intermediate2Text = document.getElementById('intermediateResult2').textContent; var intermediate3Text = document.getElementById('intermediateResult3').textContent; var assumptions = "Key Assumptions: Based on WHO growth standards. Consult pediatrician for personalized advice."; var textToCopy = "Baby Weight Percentile Results:\n\n"; textToCopy += "Primary Result: " + primaryResultText + "\n"; textToCopy += intermediate1Text + "\n"; textToCopy += intermediate2Text + "\n"; textToCopy += intermediate3Text + "\n\n"; textToCopy += assumptions; // Use navigator.clipboard for modern browsers, fallback to textarea if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy: ', err); fallbackCopyTextToClipboard(textToCopy); }); } else { fallbackCopyTextToClipboard(textToCopy); } } function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; textArea.style.top = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'successful' : 'unsuccessful'; alert('Results copied to clipboard! (' + msg + ')'); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Could not copy text. Please copy manually.'); } document.body.removeChild(textArea); } // Charting Logic var chartInstance = null; var chartCanvas = document.getElementById('weightPercentileChart').getContext('2d'); function updateChart(ageMonths, babyWeight, sex, babyPercentile, p3Weight, p50Weight, p97Weight) { if (chartInstance) { chartInstance.destroy(); // Destroy previous chart instance } var chartData = { labels: [], // Will be populated based on age range datasets: [ { label: '3rd Percentile Weight (kg)', data: [], borderColor: 'rgba(255, 99, 132, 1)', // Red backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1 }, { label: '50th Percentile Weight (kg)', data: [], borderColor: 'rgba(54, 162, 235, 1)', // Blue backgroundColor: 'rgba(54, 162, 235, 0.2)', fill: false, tension: 0.1 }, { label: '97th Percentile Weight (kg)', data: [], borderColor: 'rgba(75, 192, 192, 1)', // Green backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0.1 }, { label: 'Baby\'s Weight', data: [{x: ageMonths, y: babyWeight}], borderColor: 'rgba(255, 206, 86, 1)', // Yellow backgroundColor: 'rgba(255, 206, 86, 1)', pointRadius: 6, pointHoverRadius: 8, type: 'scatter' // Use scatter for a single point } ] }; // Generate labels and data points for the chart (e.g., 0-36 months) var agesToChart = []; var dataPoints = Object.keys(whoGrowthData[sex]).map(Number).sort(function(a, b){ return a – b; }); // Ensure the input age is included if it's not already a data point if (dataPoints.indexOf(ageMonths) === -1) { dataPoints.push(ageMonths); dataPoints.sort(function(a, b){ return a – b; }); } // Add a few more points around the input age for smoother curves if needed, or just use the available data points var minAge = Math.max(0, ageMonths – 6); var maxAge = Math.min(36, ageMonths + 6); for (var age = minAge; age = 0 && a <= 36; }); // Ensure within range dataPoints.forEach(function(age) { agesToChart.push(age); chartData.datasets[0].data.push({x: age, y: getWeightForPercentile(age, sex, 3)}); chartData.datasets[1].data.push({x: age, y: getWeightForPercentile(age, sex, 50)}); chartData.datasets[2].data.push({x: age, y: getWeightForPercentile(age, sex, 97)}); }); // Ensure baby's point is explicitly added if not already covered by interpolation var babyPointExists = chartData.datasets[3].data.some(function(point){ return point.x === ageMonths; }); if (!babyPointExists) { chartData.datasets[3].data.push({x: ageMonths, y: babyWeight}); } chartInstance = new Chart(chartCanvas, { type: 'line', // Default type, scatter handled in dataset data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' }, min: 0, max: 36 }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2) + ' kg'; } return label; } } }, legend: { position: 'top', } } } }); } // Function to populate the table with sample data function updateTable(ageMonths, sex) { var tableBody = document.getElementById('growthDataTable').getElementsByTagName('tbody')[0]; tableBody.innerHTML = ''; // Clear previous rows var sampleAge = 6; // Default sample age for the table var sexForTable = sex; // Use the selected sex // Try to find data for the selected age, otherwise use default 6 months var agesInTable = Object.keys(whoGrowthData[sexForTable]).map(Number).sort(function(a, b){ return a – b; }); if (agesInTable.includes(ageMonths)) { sampleAge = ageMonths; } else if (agesInTable.includes(6)) { sampleAge = 6; // Default to 6 months if selected age not available } else { sampleAge = agesInTable[Math.floor(agesInTable.length / 2)]; // Pick middle age if 6mo not available } var p3 = getWeightForPercentile(sampleAge, sexForTable, 3); var p50 = getWeightForPercentile(sampleAge, sexForTable, 50); var p97 = getWeightForPercentile(sampleAge, sexForTable, 97); var row = tableBody.insertRow(); row.insertCell(0).textContent = sampleAge + ' months'; row.insertCell(1).textContent = p3 ? p3.toFixed(2) + ' kg' : 'N/A'; row.insertCell(2).textContent = p50 ? p50.toFixed(2) + ' kg' : 'N/A'; row.insertCell(3).textContent = p97 ? p97.toFixed(2) + ' kg' : 'N/A'; // Add a caption to the table var caption = document.querySelector('#growthDataTable caption'); if (!caption) { caption = document.createElement('caption'); document.getElementById('growthDataTable').prepend(caption); } caption.innerHTML = "WHO Growth Data Reference (Example: " + (sexForTable === 'male' ? 'Boy' : 'Girl') + ", " + sampleAge + " Months)"; } // Initialize calculator on load document.addEventListener('DOMContentLoaded', function() { // Initial calculation on page load calculatePercentile(); // Add event listeners for input changes to update results dynamically document.getElementById('babyAgeMonths').addEventListener('input', calculatePercentile); document.getElementById('babyWeightKg').addEventListener('input', calculatePercentile); document.getElementById('babySex').addEventListener('change', calculatePercentile); // FAQ toggles var faqQuestions = document.querySelectorAll('.faq-question'); faqQuestions.forEach(function(question) { question.addEventListener('click', function() { var answer = this.nextElementSibling; if (answer.style.display === 'block') { answer.style.display = 'none'; } else { answer.style.display = 'block'; } }); }); });

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