Baby Weight Percentile Calculator by Week

Baby Weight Percentile Calculator by Week – Calculate Your Baby's Growth :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; } .container { width: 100%; max-width: 960px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } header { background-color: var(–primary-color); color: white; padding: 20px 0; text-align: center; width: 100%; } header h1 { margin: 0; font-size: 2.5em; } main { padding: 20px 0; } h1, h2, h3 { color: var(–primary-color); } h1 { font-size: 2em; margin-bottom: 15px; } h2 { font-size: 1.75em; margin-top: 30px; margin-bottom: 15px; 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Baby Weight Percentile Calculator by Week

Baby Weight Percentile Calculator

Enter the baby's age in completed weeks.
Enter the baby's current weight in kilograms.
Male Female
Your Baby's Weight Percentile:
Percentiles are calculated using WHO (World Health Organization) growth standards, comparing your baby's weight for their age and sex against a reference population.

Baby Weight Growth Chart (Example)

This chart shows your baby's weight relative to standard growth curves (3rd, 50th, and 97th percentiles) for their age and sex.
WHO Growth Standards for Weight-for-age (Example Data)
Age (Weeks) Weight (kg) – 3rd Percentile Weight (kg) – 50th Percentile Weight (kg) – 97th Percentile

What is a Baby Weight Percentile by Week?

A baby weight percentile by week is a way to measure and compare your baby's growth against a standard reference population of infants of the same age and sex. It's not about being "good" or "bad," but rather about understanding where your baby falls on the growth curve. For instance, if your baby is in the 75th percentile for weight at 10 weeks old, it means that 75% of babies of the same age and sex weigh less than your baby, and 25% weigh more. This tool is invaluable for parents, caregivers, and healthcare providers to monitor healthy development and identify potential concerns early on. Understanding these percentiles helps ensure your baby is growing appropriately and thriving.

Who should use it?

  • New parents wanting to track their baby's growth.
  • Caregivers monitoring infant development.
  • Healthcare professionals (pediatricians, nurses) using it as a supplementary tool.
  • Anyone seeking to understand typical infant weight gain patterns.

Common misconceptions:

  • Myth: Higher percentile is always better. Reality: A healthy baby can fall anywhere on the growth chart. Consistency in growth is often more important than the specific percentile.
  • Myth: Percentiles are rigid targets. Reality: Percentiles are statistical measures. Babies' weights fluctuate, and a temporary dip or rise doesn't necessarily indicate a problem.
  • Myth: Percentiles apply equally to all babies. Reality: Growth charts are sex-specific, and different organizations (like WHO and CDC) may have slightly different standards.

Baby Weight Percentile by Week Formula and Mathematical Explanation

The baby weight percentile by week is determined by comparing a baby's measured weight against established growth charts, typically those provided by the World Health Organization (WHO) for infants up to two years old. These charts are based on extensive data collected from healthy, breastfed infants in diverse international settings. The calculation itself isn't a simple arithmetic formula you can plug numbers into directly to get a percentile; rather, it involves interpolating the baby's specific weight, age, and sex onto a complex statistical model (often a LMS model – Lambda, Mu, Sigma) that defines the distribution of weights at each week of age.

Essentially, the process involves:

  1. Identifying the Correct Chart: Selecting the chart appropriate for the baby's sex (male or female) and age in weeks.
  2. Locating the Age: Finding the baby's specific age on the horizontal axis (x-axis) of the chart.
  3. Finding the Weight: Locating the baby's weight on the vertical axis (y-axis).
  4. Interpolation: The percentile is the value on the curve that corresponds to the baby's weight at their specific age. This is often done using software that accesses the underlying statistical data of the growth charts. The curves on the chart represent specific percentiles (e.g., 3rd, 15th, 50th, 85th, 97th).

The 50th percentile represents the median weight – meaning half of the babies of that age and sex weigh less, and half weigh more. The 3rd and 97th percentiles are often used as boundaries for typical growth ranges, with babies falling outside this range (below 3rd or above 97th) sometimes warranting further medical assessment.

Variables Explained

Variables Used in Baby Weight Percentile Calculation
Variable Meaning Unit Typical Range (for context)
Baby's Age The number of weeks since birth. Weeks 0 – 104 weeks (approx. 2 years)
Baby's Weight The measured weight of the baby. Kilograms (kg) 0.5 kg – 20 kg (approx. for first 2 years)
Baby's Sex Biological sex of the infant. Categorical (Male/Female) Male or Female
Percentile The baby's weight rank compared to others of the same age and sex. Percentage (%) 1% – 99%
Median Weight (50th Percentile) The weight at which 50% of babies are lighter and 50% are heavier. Kilograms (kg) Varies by age and sex
Lower Limit (e.g., 3rd Percentile) The weight at which 3% of babies are lighter. Kilograms (kg) Varies by age and sex
Upper Limit (e.g., 97th Percentile) The weight at which 97% of babies are lighter. Kilograms (kg) Varies by age and sex

Practical Examples (Real-World Use Cases)

Example 1: Tracking a 6-Month-Old Baby's Growth

Scenario: Sarah is concerned because her baby boy, Leo, born full-term, seems to be gaining weight slower than her friend's baby. Leo is exactly 26 weeks old (6 months) and weighs 7.2 kg. He is male.

Inputs:

  • Baby's Age: 26 weeks
  • Baby's Weight: 7.2 kg
  • Baby's Sex: Male

Calculation using the calculator:

  • Primary Result: 45th Percentile
  • 50th Percentile (Median): ~7.4 kg
  • 3rd Percentile: ~5.8 kg
  • 97th Percentile: ~9.1 kg

Interpretation: Leo is in the 45th percentile for weight at 26 weeks. This means he weighs more than 45% of 6-month-old boys and less than 55%. His weight is very close to the median (50th percentile), indicating he is growing well within the typical range. Sarah can be reassured that Leo's growth is healthy and consistent, even if it differs from her friend's baby.

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

Scenario: David and Maria's daughter, Chloe, was born at 32 weeks gestation and initially weighed 1.8 kg. Now, at 10 weeks corrected age (meaning 10 weeks past her original due date, making her actual age 2 weeks), they want to check her weight. Her current weight is 3.5 kg. She is female.

Inputs:

  • Baby's Age: 10 weeks (corrected age)
  • Baby's Weight: 3.5 kg
  • Baby's Sex: Female

Calculation using the calculator:

  • Primary Result: 62nd Percentile
  • 50th Percentile (Median): ~3.3 kg
  • 3rd Percentile: ~2.5 kg
  • 97th Percentile: ~4.5 kg

Interpretation: Chloe is in the 62nd percentile for weight at 10 weeks corrected age. This indicates strong "catch-up" growth, as she is heavier than 62% of full-term baby girls her corrected age. Her weight is above the median and well within the healthy range, suggesting her nutritional intake and development are progressing positively after her premature start.

How to Use This Baby Weight Percentile Calculator by Week

Using this baby weight percentile calculator by week is straightforward and designed to provide quick insights into your baby's growth. Follow these simple steps:

  1. Enter Baby's Age: In the "Baby's Age (Weeks)" field, input the number of full weeks your baby has been alive. For example, if your baby is 3 months and 2 weeks old, that's approximately 14 weeks (3 months * 4 weeks/month + 2 weeks).
  2. Enter Baby's Weight: In the "Baby's Weight (kg)" field, enter your baby's current weight in kilograms. Ensure you are using kilograms for accuracy.
  3. Select Baby's Sex: Choose either "Male" or "Female" from the dropdown menu. Growth charts are different for boys and girls.
  4. Click Calculate: Press the "Calculate Percentile" button.

How to Read Results:

  • Primary Result (Your Baby's Weight Percentile): This is the main output, showing where your baby's weight ranks compared to other babies of the same age and sex. A percentile of 50 means average, while 90 means heavier than 90% of babies.
  • Intermediate Values (3rd, 50th, 97th Percentiles): These provide context. The 50th percentile is the median weight. The 3rd and 97th percentiles represent the typical lower and upper bounds of healthy growth according to WHO standards.
  • Chart and Table: The visual chart and data table offer a broader perspective, showing how your baby's weight fits within the standard growth curves over time.

Decision-Making Guidance:

  • Within Range (e.g., 3rd-97th percentile): Generally, this indicates healthy growth. Focus on consistent growth patterns rather than specific numbers.
  • Below 3rd Percentile: If your baby falls below the 3rd percentile, consult your pediatrician. They will assess other factors like length, head circumference, feeding habits, and overall health.
  • Above 97th Percentile: Similarly, if your baby is consistently above the 97th percentile, discuss it with your doctor to rule out any underlying issues and ensure appropriate feeding practices.
  • Rapid Changes: Significant jumps or drops in percentile rank over a short period should also be discussed with a healthcare provider.

Remember: This calculator is a tool for informational purposes. Always consult with your pediatrician or healthcare provider for personalized advice regarding your baby's growth and development.

Key Factors That Affect Baby Weight Results

While the baby weight percentile calculator provides a snapshot based on age, weight, and sex, several underlying factors influence these measurements and the baby's overall growth trajectory. Understanding these can provide a more holistic view:

  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. This is a fundamental aspect of their growth pattern.
  2. Feeding Method and Intake: Whether a baby is breastfed or formula-fed, and the quantity and frequency of feeding, significantly impact weight gain. Breastfed babies might have slightly different growth patterns initially compared to formula-fed babies, though both can achieve healthy growth. Ensuring adequate caloric intake is crucial.
  3. Prematurity and Gestational Age: Babies born prematurely often have different initial growth trajectories and may experience "catch-up" growth in the weeks and months following birth. Corrected age is often used for premature infants to compare them to full-term peers.
  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 consequently, their weight gain.
  5. Birth Weight: A baby's starting weight at birth influences their subsequent growth curve. Babies born with very low birth weight may follow different growth charts initially.
  6. Activity Level: As babies grow, their activity levels increase. More active babies might burn more calories, potentially influencing their weight gain rate, although this is usually a minor factor in the early weeks and months compared to nutrition.
  7. Maternal Health During Pregnancy: Factors like maternal nutrition, gestational diabetes, or smoking during pregnancy can influence fetal growth and birth weight, setting the stage for the baby's early growth patterns.

Frequently Asked Questions (FAQ)

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

The WHO growth charts are generally recommended for infants from birth to 2 years old globally, representing optimal growth patterns. The CDC growth charts are typically used for children aged 2 to 20 in the United States and are based on a different dataset. For the first two years, the WHO charts are often preferred for their international and breastfed infant data.

Is it normal for my baby's percentile to change?

Yes, it's normal for a baby's percentile to fluctuate slightly, especially in the first year. Babies are establishing their individual growth curve. However, significant or rapid changes (e.g., jumping multiple major percentiles) should be discussed with a pediatrician.

My baby is in the 90th percentile. Should I be worried?

Not necessarily. Being in the 90th percentile means your baby is larger than 90% of babies their age and sex. If the baby is healthy, active, meeting milestones, and gaining weight consistently along their curve, it's likely normal for them. However, it's always best to discuss any concerns with your pediatrician.

My baby is in the 10th percentile. Should I be worried?

A percentile in the lower range (like 10th) doesn't automatically mean there's a problem. If your baby is active, alert, feeding well, and gaining weight steadily, they might just be a smaller baby. However, if they are below the 3rd percentile, seem lethargic, or aren't gaining weight consistently, consult your pediatrician.

How often should I measure my baby's weight?

For newborns, weight checks are common at pediatrician visits in the first few weeks. After that, regular check-ups (e.g., monthly for the first few months, then quarterly) are usually sufficient. Frequent home weighing isn't typically necessary unless advised by a doctor.

Does my baby's length percentile matter too?

Yes, absolutely. Length (or height) and head circumference are also crucial indicators of growth. Doctors often look at the baby's weight-for-length percentile alongside their weight-for-age and length-for-age percentiles to get a complete picture of their development.

Can I use this calculator for premature babies?

For premature babies, it's best to use "corrected age" (age from the original due date) and consult growth charts specifically designed for preterm infants or discuss with your pediatrician. While this calculator uses standard WHO charts, a pediatrician's guidance is essential for premature infants.

What if my baby's weight seems to plateau?

A plateau in weight gain, especially if it persists for several weeks, warrants a discussion with your pediatrician. It could be related to changes in feeding, illness, or other developmental factors that need assessment.

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var chartInstance = null; // Global variable to hold chart instance function getElement(id) { return document.getElementById(id); } function clearErrorMessages() { getElement('babyAgeWeeksError').textContent = "; getElement('babyWeightKgError').textContent = "; } function validateInputs() { var ageWeeks = parseFloat(getElement('babyAgeWeeks').value); var weightKg = parseFloat(getElement('babyWeightKg').value); var sex = getElement('babySex').value; var isValid = true; clearErrorMessages(); if (isNaN(ageWeeks) || ageWeeks 104) { // Approx 2 years getElement('babyAgeWeeksError').textContent = 'Age should not exceed 104 weeks.'; isValid = false; } if (isNaN(weightKg) || weightKg 20) { // Realistic upper bound for 2 years getElement('babyWeightKgError').textContent = 'Weight seems unusually high for this age.'; isValid = false; } // Sex validation is implicitly handled by the select element, no explicit error needed unless it's empty (which it shouldn't be) return isValid; } // Dummy data for WHO growth standards (simplified for demonstration) // In a real application, this would be a much larger dataset or a lookup function var whoGrowthData = { male: [ { weeks: 0, p3: 2.5, p50: 3.5, p97: 4.5 }, { weeks: 4, p3: 3.5, p50: 4.8, p97: 6.0 }, { weeks: 8, p3: 4.3, p50: 5.8, p97: 7.2 }, { weeks: 12, p3: 4.9, p50: 6.5, p97: 8.0 }, { weeks: 16, p3: 5.4, p50: 7.0, p97: 8.6 }, { weeks: 20, p3: 5.8, p50: 7.4, p97: 9.0 }, { weeks: 24, p3: 6.1, p50: 7.7, p97: 9.3 }, { weeks: 28, p3: 6.3, p50: 7.9, p97: 9.5 }, { weeks: 32, p3: 6.5, p50: 8.1, p97: 9.7 }, { weeks: 36, p3: 6.6, p50: 8.2, p97: 9.8 }, { weeks: 40, p3: 6.7, p50: 8.3, p97: 9.9 }, { weeks: 44, p3: 6.8, p50: 8.4, p97: 10.0 }, { weeks: 48, p3: 6.9, p50: 8.5, p97: 10.1 }, { weeks: 52, p3: 7.0, p50: 8.6, p97: 10.2 } // Approx 1 year ], female: [ { weeks: 0, p3: 2.3, p50: 3.3, p97: 4.3 }, { weeks: 4, p3: 3.3, p50: 4.6, p97: 5.8 }, { weeks: 8, p3: 4.1, p50: 5.6, p97: 7.0 }, { weeks: 12, p3: 4.7, p50: 6.3, p97: 7.8 }, { weeks: 16, p3: 5.2, p50: 6.8, p97: 8.4 }, { weeks: 20, p3: 5.6, p50: 7.2, p97: 8.8 }, { weeks: 24, p3: 5.9, p50: 7.5, p97: 9.1 }, { weeks: 28, p3: 6.1, p50: 7.7, p97: 9.3 }, { weeks: 32, p3: 6.3, p50: 7.9, p97: 9.5 }, { weeks: 36, p3: 6.4, p50: 8.0, p97: 9.6 }, { weeks: 40, p3: 6.5, p50: 8.1, p97: 9.7 }, { weeks: 44, p3: 6.6, p50: 8.2, p97: 9.8 }, { weeks: 48, p3: 6.7, p50: 8.3, p97: 9.9 }, { weeks: 52, p3: 6.8, p50: 8.4, p97: 10.0 } // Approx 1 year ] }; // Function to find percentile data for a given age, interpolating if necessary function getGrowthDataForAge(ageWeeks, sex) { var dataSet = whoGrowthData[sex]; if (!dataSet) return null; // Find the data points surrounding the age var lowerData = null; var upperData = null; for (var i = 0; i < dataSet.length; i++) { if (dataSet[i].weeks = ageWeeks) { upperData = dataSet[i]; break; } } // If exact age is found if (lowerData && lowerData.weeks === ageWeeks) { return lowerData; } // If age is between two data points, interpolate if (lowerData && upperData && lowerData.weeks < ageWeeks && ageWeeks < upperData.weeks) { var ageDiff = upperData.weeks – lowerData.weeks; var weightDiffP3 = upperData.p3 – lowerData.p3; var weightDiffP50 = upperData.p50 – lowerData.p50; var weightDiffP97 = upperData.p97 – lowerData.p97; var fraction = (ageWeeks – lowerData.weeks) / ageDiff; return { weeks: ageWeeks, p3: lowerData.p3 + (weightDiffP3 * fraction), p50: lowerData.p50 + (weightDiffP50 * fraction), p97: lowerData.p97 + (weightDiffP97 * fraction) }; } // If age is before the first data point or after the last if (ageWeeks dataSet[dataSet.length – 1].weeks) return dataSet[dataSet.length – 1]; // Use last point return null; // Should not happen with proper data range } // Function to calculate percentile rank function calculatePercentileRank(weight, median, p3, p97) { if (weight p97) return 97 + (7 * (weight – p97) / (p97 * 0.3)); // Simplified linear interpolation above 97th if (weight median) return 50 + (50 * (weight – median) / (p97 – median)); // Simplified linear interpolation above 50th return 50; // Exact median } function calculatePercentile() { if (!validateInputs()) { getElement('results-container').style.display = 'none'; return; } var ageWeeks = parseFloat(getElement('babyAgeWeeks').value); var weightKg = parseFloat(getElement('babyWeightKg').value); var sex = getElement('babySex').value; var growthData = getGrowthDataForAge(ageWeeks, sex); if (!growthData) { getElement('results-container').style.display = 'none'; alert("Could not retrieve growth data for the specified age and sex. Please check inputs or data range."); return; } var p3Weight = growthData.p3; var p50Weight = growthData.p50; var p97Weight = growthData.p97; var percentileRank = calculatePercentileRank(weightKg, p50Weight, p3Weight, p97Weight); percentileRank = Math.max(0.1, Math.min(99.9, percentileRank)); // Clamp between 0.1 and 99.9 getElement('primary-result').textContent = percentileRank.toFixed(1) + '%'; var intermediateResults = getElement('results-container').querySelectorAll('.intermediate-results div'); intermediateResults[0].querySelector('span').textContent = p50Weight.toFixed(2) + ' kg'; intermediateResults[1].querySelector('span').textContent = p3Weight.toFixed(2) + ' kg'; intermediateResults[2].querySelector('span').textContent = p97Weight.toFixed(2) + ' kg'; getElement('results-container').style.display = 'block'; updateChart(ageWeeks, weightKg, sex); populateGrowthTable(sex); } function resetCalculator() { getElement('babyAgeWeeks').value = '26'; // Default to 6 months getElement('babyWeightKg').value = '7.5'; // Default reasonable weight getElement('babySex').value = 'male'; clearErrorMessages(); getElement('results-container').style.display = 'none'; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } getElement('weightChart').getContext('2d').clearRect(0, 0, getElement('weightChart').width, getElement('weightChart').height); getElement('growthTableBody').innerHTML = "; // Clear table } function copyResults() { var primaryResult = getElement('primary-result').textContent; var intermediateSpans = getElement('results-container').querySelectorAll('.intermediate-results span'); var median = intermediateSpans[0].textContent; var p3 = intermediateSpans[1].textContent; var p97 = intermediateSpans[2].textContent; var age = getElement('babyAgeWeeks').value; var weight = getElement('babyWeightKg').value; var sex = getElement('babySex').value; if (primaryResult === '–') { alert("No results to copy yet."); return; } var textToCopy = "Baby Weight Percentile Results:\n\n" + "Age: " + age + " weeks\n" + "Weight: " + weight + " kg\n" + "Sex: " + sex.charAt(0).toUpperCase() + sex.slice(1) + "\n\n" + "Your Baby's Weight Percentile: " + primaryResult + "\n" + "Median Weight (50th %ile): " + median + "\n" + "3rd Percentile Weight: " + p3 + "\n" + "97th Percentile Weight: " + p97 + "\n\n" + "Source: WHO Growth Standards"; navigator.clipboard.writeText(textToCopy).then(function() { alert("Results copied to clipboard!"); }).catch(function(err) { console.error('Failed to copy: ', err); alert("Failed to copy results. Please copy manually."); }); } function populateGrowthTable(sex) { var tableBody = getElement('growthTableBody'); tableBody.innerHTML = "; // Clear existing rows var dataSet = whoGrowthData[sex]; var maxWeeksToShow = 52; // Show up to 1 year for (var i = 0; i maxWeeksToShow) break; var row = tableBody.insertRow(); row.insertCell(0).textContent = dataSet[i].weeks === 0 ? 'Newborn' : dataSet[i].weeks + ' weeks'; row.insertCell(1).textContent = dataSet[i].p3.toFixed(2) + ' kg'; row.insertCell(2).textContent = dataSet[i].p50.toFixed(2) + ' kg'; row.insertCell(3).textContent = dataSet[i].p97.toFixed(2) + ' kg'; } } function updateChart(currentAgeWeeks, currentWeightKg, sex) { var ctx = getElement('weightChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } var dataSet = whoGrowthData[sex]; var chartDataPoints = []; var chartLabels = []; var p3Values = []; var p50Values = []; var p97Values = []; var maxWeeksForChart = 52; // Limit chart to 1 year for clarity for (var i = 0; i maxWeeksForChart) break; chartLabels.push(dataSet[i].weeks === 0 ? 'Newborn' : dataSet[i].weeks + ' weeks'); p3Values.push(dataSet[i].p3); p50Values.push(dataSet[i].p50); p97Values.push(dataSet[i].p97); } // Add current baby's data point chartLabels.push(currentAgeWeeks + ' weeks'); p3Values.push(null); // Placeholder for current baby's data p50Values.push(null); p97Values.push(null); chartDataPoints.push({ x: chartLabels.length – 1, // Index of the current baby's data point y: currentWeightKg }); // Configure chart chartInstance = new Chart(ctx, { type: 'line', data: { labels: chartLabels, datasets: [{ label: '3rd Percentile', data: p3Values, borderColor: 'rgba(255, 99, 132, 0.7)', backgroundColor: 'rgba(255, 99, 132, 0.1)', fill: false, tension: 0.1, pointRadius: 0 // Hide points for percentile lines }, { label: '50th Percentile (Median)', data: p50Values, borderColor: 'rgba(54, 162, 235, 0.7)', backgroundColor: 'rgba(54, 162, 235, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: '97th Percentile', data: p97Values, borderColor: 'rgba(75, 192, 192, 0.7)', backgroundColor: 'rgba(75, 192, 192, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Your Baby\'s Weight', data: chartDataPoints, // Use the specific data points array borderColor: 'rgba(255, 206, 86, 1)', backgroundColor: 'rgba(255, 206, 86, 1)', fill: false, tension: 0, pointRadius: 6, pointHoverRadius: 8 }] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { title: { display: true, text: 'Age (Weeks)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: false // Start y-axis appropriately } }, 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', } } } }); } // Initial setup on page load document.addEventListener('DOMContentLoaded', function() { // Populate table on load populateGrowthTable(getElement('babySex').value); // Optionally, pre-fill calculator and calculate if defaults are set // resetCalculator(); // Call reset to set defaults and clear chart/table // calculatePercentile(); // Calculate initial results if defaults are meaningful });

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