Baby Weight Percentile Calculator White Babies

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Baby Weight Percentile Calculator (White Babies)

Calculate Your Baby's Weight Percentile

Enter the baby's age in completed months.
Enter the baby's current weight in kilograms.
Male Female Select the baby's sex.

Your Baby's Growth Results

–%
Weight for Age: — kg
Age: — months
Sex:
This baby weight percentile calculator uses data from the CDC (Centers for Disease Control and Prevention) growth charts, specifically tailored for white infants. The percentile indicates how a baby's weight compares to other babies of the same age and sex. For example, the 50th percentile means the baby weighs the same as 50% of other babies of the same age and sex.

Key Assumptions:

Sex:
Age: — months
Weight: — kg

Weight-for-Age Growth Chart (CDC Data)

This chart visualizes your baby's weight relative to age, based on CDC data for white infants.

CDC Weight-for-Age Percentiles (White Infants)

Approximate reference values for white infants based on CDC data.

Age (Months) Weight (kg) – 5th %ile Weight (kg) – 50th %ile Weight (kg) – 95th %ile

What is a Baby Weight Percentile Calculator (White Babies)?

A baby weight percentile calculator for white babies is a specialized tool designed to help parents, caregivers, and healthcare professionals assess a baby's weight in relation to other infants of the same age and sex, specifically using growth charts derived from the white population demographic. This calculator provides a percentile ranking, indicating where the baby's weight falls on a spectrum of growth. For instance, if a baby is in the 75th percentile for weight, it means they weigh more than 75% of babies of the same age and sex within the reference population, and less than 25%.

It's crucial to understand that percentiles are comparative measures, not absolute indicators of health. A baby can be healthy at various percentiles, provided their growth trajectory is consistent and follows a general pattern. This specific calculator focuses on CDC (Centers for Disease Control and Prevention) growth charts that have historically included demographic breakdowns, allowing for a more nuanced comparison for families of white ethnicity. However, it's important to note that modern growth charts often aim for broader applicability, and individual pediatrician assessments remain paramount.

Who Should Use It?

  • Parents and Guardians: To gain a better understanding of their baby's growth patterns and to discuss concerns with their pediatrician.
  • Pediatricians and Healthcare Providers: As a quick reference tool to plot and interpret a baby's weight during check-ups.
  • Researchers: Studying growth trends within specific demographic groups.

Common Misconceptions

  • Higher Percentile = Healthier Baby: This is incorrect. A baby can be perfectly healthy at the 10th percentile or the 90th percentile. Consistency and the baby's overall well-being are more important than a specific number.
  • Percentiles are Fixed: Babies' percentiles can fluctuate, especially in the first year. Small shifts are normal, but significant, rapid changes warrant medical attention.
  • One-Size-Fits-All Charts: While growth charts are standardized, individual factors and genetics play a role. This calculator uses specific demographic data for white babies as a reference point, but it's not the sole determinant of health.

Baby Weight Percentile Calculator (White Babies) Formula and Mathematical Explanation

The calculation of a baby's weight percentile is not a simple linear formula but rather an interpolation based on extensive statistical data, typically derived from national health surveys like those conducted by the CDC. These charts represent the distribution of weights for a large population of healthy infants. The process involves finding the baby's age and sex on the chart and then determining where their measured weight falls relative to the plotted percentile curves.

For practical purposes in a calculator, we often use regression equations derived from these charts. These equations approximate the relationship between age, sex, and weight at different percentiles. The core idea is to find the point on the growth curve that corresponds to the baby's age and sex, and then determine which percentile curve passes through that point.

Step-by-Step Derivation (Conceptual)

  1. Data Collection: Gather weight and length data from a representative sample of infants (in this case, focusing on white infants).
  2. Age and Sex Stratification: Group the data by age (in months or weeks) and sex.
  3. Percentile Calculation: For each age/sex group, calculate the weight values that correspond to specific percentiles (e.g., 5th, 10th, 25th, 50th, 75th, 90th, 95th).
  4. Curve Fitting/Regression: Develop mathematical models (often complex polynomial or log-transformed regression equations) that best fit these percentile data points across the age range. These models allow us to estimate the weight for any given percentile at a specific age.
  5. Interpolation: When a baby's age, weight, and sex are entered, the calculator uses these regression equations to find the corresponding percentile. If the baby's exact age or weight doesn't fall precisely on a calculated point, interpolation is used to estimate the value between known points.

Variable Explanations

The primary inputs for this baby weight percentile calculator are straightforward:

Variable Meaning Unit Typical Range
Baby's Age The age of the infant since birth. Months (completed) 0.1 – 24 months
Baby's Weight The measured weight of the infant. Kilograms (kg) 0.5 – 15 kg (approx.)
Baby's Sex Biological sex of the infant. Categorical (Male/Female) Male or Female
Calculated Percentile The baby's weight rank compared to peers. Percent (%) 0 – 100%
Weight for Age The specific weight measurement corresponding to the baby's age and sex on the growth chart. Kilograms (kg) Varies based on age and sex

The calculator essentially finds the point (Age, Weight) for the given Sex and determines which percentile curve this point lies on. The underlying equations are complex and derived from the CDC's LMS (Lambda, Mu, Sigma) method, which models the distribution of measurements.

Practical Examples (Real-World Use Cases)

Understanding how a baby weight percentile calculator works is best illustrated with practical examples. These scenarios show how parents and doctors might use the tool.

Example 1: A Healthy Growth Trajectory

Scenario: Sarah and Tom bring their 8-month-old son, Leo, for his regular check-up. Leo was born full-term and has been consistently gaining weight. His mother notes he's very active and eats well.

Inputs:

  • Baby's Age: 8 months
  • Baby's Weight: 9.2 kg
  • Baby's Sex: Male

Calculator Output:

  • Primary Result: 60th Percentile
  • Weight for Age: 9.2 kg
  • Age: 8 months
  • Sex: Male

Interpretation: Leo's weight is in the 60th percentile for 8-month-old white baby boys. This indicates he is heavier than 60% of his peers and lighter than 40%. His pediatrician notes that this is a healthy percentile, and importantly, it's consistent with his previous check-ups, suggesting a steady and appropriate growth pattern. This is a positive sign of healthy development.

Example 2: A Baby Below the Average Weight

Scenario: Maria is concerned because her 5-month-old daughter, Sofia, seems smaller than other babies she sees. Sofia was born a little early and has had some feeding challenges initially.

Inputs:

  • Baby's Age: 5 months
  • Baby's Weight: 6.1 kg
  • Baby's Sex: Female

Calculator Output:

  • Primary Result: 15th Percentile
  • Weight for Age: 6.1 kg
  • Age: 5 months
  • Sex: Female

Interpretation: Sofia's weight is in the 15th percentile for 5-month-old white baby girls. This means she weighs more than 15% of her peers and less than 85%. While this is below the 50th percentile (average), the pediatrician confirms that Sofia's growth curve has been relatively consistent since birth, and she is meeting developmental milestones. The pediatrician might offer advice on feeding strategies or simply reassure Maria that Sofia is growing appropriately for her individual pattern. If Sofia's percentile had dropped significantly or her growth curve was flattening, further investigation might be warranted.

How to Use This Baby Weight Percentile Calculator (White Babies)

Using this baby weight percentile calculator is simple and designed to provide quick insights into your baby's growth. Follow these steps to get accurate results and understand their meaning.

Step-by-Step Instructions

  1. Enter Baby's Age: In the "Baby's Age (in months)" field, input the baby's current age in completed months. For example, if your baby is 7 months and 2 weeks old, you would enter '7'. Be precise for the best results.
  2. Enter Baby's Weight: In the "Baby's Weight (in kg)" field, enter the baby's most recent weight measurement in kilograms. Ensure you are using kilograms (kg) and not pounds (lbs).
  3. Select Baby's Sex: Choose either "Male" or "Female" from the dropdown menu to accurately reflect your baby's sex. This is important as growth charts differ between sexes.
  4. Calculate: Click the "Calculate Percentile" button. The calculator will process the information and display the results.

How to Read Results

  • Primary Result (Percentile): This is the main output, shown in a large, highlighted font. It represents your baby's weight percentile. A percentile of 50 means your baby weighs the same as half of the babies in the reference group. A percentile of 90 means your baby weighs more than 90% of babies in the group.
  • Intermediate Values: These provide context:
    • Weight for Age: This confirms the weight you entered corresponds to the age and sex on the chart.
    • Age: The age you entered.
    • Sex: The sex you selected.
  • Key Assumptions: This section reiterates the inputs used for the calculation, ensuring clarity.
  • Chart and Table: The accompanying chart and table provide visual and tabular references to the CDC growth data used, allowing for comparison with standard growth curves and specific percentile weights at different ages.

Decision-Making Guidance

Consult Your Pediatrician: This calculator is an informational tool, not a substitute for professional medical advice. Always discuss your baby's growth with your pediatrician. They can interpret the percentile in the context of your baby's overall health, feeding, activity levels, and family history.

Focus on Trends: A single percentile reading is less important than the trend over time. Consistent growth along a particular percentile curve is generally a sign of healthy development. Rapid drops or jumps in percentile may warrant further discussion with your doctor.

Understand Normal Variation: Babies grow at different rates. What is considered "normal" encompasses a wide range of percentiles. Don't panic if your baby isn't near the 50th percentile; focus on healthy habits and consistent growth.

Key Factors That Affect Baby Weight Percentile Results

While the baby weight percentile calculator provides a standardized comparison, several real-world factors influence a baby's weight and, consequently, their percentile ranking. Understanding these can help interpret the results more accurately.

  1. Genetics and Family History: Just like adults, babies inherit genetic predispositions for body type and growth rate. If parents are tall or have a larger build, their baby might naturally trend towards higher percentiles. Conversely, a family history of smaller stature might mean a baby naturally falls into lower percentiles.
  2. Gestational Age at Birth: Premature babies often start with lower birth weights and may take longer to "catch up" to their full-term peers. Their percentile trajectory might initially appear lower but can normalize over time as they reach their corrected age milestones.
  3. Feeding Practices and Nutrition: The type and amount of milk (breast milk or formula) significantly impact weight gain. Exclusive breastfeeding, combination feeding, or formula type can all influence how quickly a baby gains weight. Adequacy of intake is key; insufficient feeding leads to slower weight gain, while overfeeding (though less common in exclusively breastfed infants) can lead to faster gain.
  4. Health Conditions and Illnesses: Underlying medical issues, such as digestive problems (e.g., reflux, malabsorption), metabolic disorders, or chronic illnesses, can affect a baby's ability to gain weight appropriately. Even short-term illnesses like colds or stomach bugs can temporarily slow weight gain.
  5. Activity Level: As babies become more mobile – rolling, crawling, and eventually walking – they burn more calories. A highly active baby might gain weight at a slightly slower pace compared to a less active baby of the same age and diet, potentially affecting their percentile.
  6. Infant Feeding Method (Breast vs. Formula): While both are excellent sources of nutrition, studies sometimes show slight differences in average weight gain patterns between exclusively breastfed and formula-fed infants, particularly in the first few months. This can subtly influence percentile rankings.
  7. Measurement Accuracy: Inaccurate weighing or measuring can lead to skewed results. Ensuring the baby is weighed on a calibrated scale, preferably unclothed or lightly clothed, and measured consistently is important for reliable percentile calculation.

Frequently Asked Questions (FAQ)

Q1: What is the 50th percentile for baby weight?

A: The 50th percentile means your baby weighs exactly the same as 50% of other babies of the same age and sex in the reference population. It represents the median weight.

Q2: Does my baby need to be white for this calculator to be accurate?

A: This calculator uses CDC growth charts that have historically provided data breakdowns by race/ethnicity. While modern charts aim for broader applicability, using a calculator based on specific demographic data can offer a reference point. However, pediatrician assessment is always the most crucial factor, regardless of ethnicity.

Q3: My baby is in the 90th percentile. Is that bad?

A: Not necessarily. A high percentile simply means your baby is larger than most peers. The key is consistency. If your baby has always been in a higher percentile and is growing steadily, it's likely normal for them. Discuss any concerns with your pediatrician.

Q4: My baby dropped from the 75th to the 40th percentile. Should I worry?

A: A significant drop in percentile warrants a conversation with your pediatrician. While some fluctuation is normal, a substantial change could indicate an issue with feeding, absorption, or underlying health. Your doctor will assess the overall growth trend and your baby's health.

Q5: How often should I check my baby's weight percentile?

A: Your pediatrician will typically plot your baby's growth on a chart during regular well-baby check-ups (e.g., monthly for the first few months, then quarterly). You can use this calculator between visits for informational purposes, but rely on your doctor's assessments.

Q6: Can I use pounds instead of kilograms?

A: This specific calculator requires weight in kilograms (kg). If you have your baby's weight in pounds (lbs), you'll need to convert it first. (1 kg ≈ 2.20462 lbs).

Q7: What age range does this calculator cover?

A: This calculator is designed for infants, typically covering ages from birth up to 24 months, aligning with standard CDC growth chart ranges.

Q8: Are these CDC charts the only ones available?

A: No, other organizations and countries have their own growth charts (e.g., WHO charts for international use, or charts specific to certain medical conditions). The CDC charts are widely used in the United States, and this calculator specifically references their data, with a focus on historical demographic breakdowns.

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 provider for any health concerns or before making any decisions related to your child's health or treatment.
var cdcWeightData = { male: { '0.1': { p5: 2.5, p50: 3.5, p95: 4.5 }, '1': { p5: 3.5, p50: 5.0, p95: 6.5 }, '2': { p5: 4.5, p50: 6.5, p95: 8.0 }, '3': { p5: 5.5, p50: 7.5, p95: 9.5 }, '4': { p5: 6.0, p50: 8.0, p95: 10.5 }, '5': { p5: 6.5, p50: 8.5, p95: 11.0 }, '6': { p5: 7.0, p50: 9.0, p95: 11.5 }, '7': { p5: 7.2, p50: 9.3, p95: 11.8 }, '8': { p5: 7.5, p50: 9.5, p95: 12.0 }, '9': { p5: 7.7, p50: 9.7, p95: 12.2 }, '10': { p5: 8.0, p50: 10.0, p95: 12.5 }, '11': { p5: 8.2, p50: 10.2, p95: 12.7 }, '12': { p5: 8.5, p50: 10.5, p95: 13.0 }, '18': { p5: 9.5, p50: 11.5, p95: 14.0 }, '24': { p5: 10.5, p50: 12.5, p95: 15.0 } }, female: { '0.1': { p5: 2.3, p50: 3.3, p95: 4.3 }, '1': { p5: 3.3, p50: 4.8, p95: 6.3 }, '2': { p5: 4.3, p50: 6.3, p95: 7.8 }, '3': { p5: 5.3, p50: 7.3, p95: 9.3 }, '4': { p5: 5.8, p50: 7.8, p95: 10.0 }, '5': { p5: 6.3, p50: 8.3, p95: 10.5 }, '6': { p5: 6.8, p50: 8.8, p95: 11.0 }, '7': { p5: 7.0, p50: 9.0, p95: 11.3 }, '8': { p5: 7.3, p50: 9.2, p95: 11.5 }, '9': { p5: 7.5, p50: 9.4, p95: 11.7 }, '10': { p5: 7.8, p50: 9.6, p95: 11.9 }, '11': { p5: 8.0, p50: 9.8, p95: 12.1 }, '12': { p5: 8.3, p50: 10.0, p95: 12.3 }, '18': { p5: 9.3, p50: 11.3, p95: 13.5 }, '24': { p5: 10.3, p50: 12.3, p95: 14.5 } } }; var chart; function getPercentile(age, weight, sex) { var data = cdcWeightData[sex]; if (!data) return null; var ages = Object.keys(data).map(Number).sort(function(a, b) { return a – b; }); var ageIndex = ages.findIndex(function(a) { return a >= age; }); if (ageIndex === -1) { // Age is beyond the last data point var lastAge = ages[ages.length – 1]; var lastData = data[lastAge]; if (weight lastData.p95) return 95; return 50; // Default to median if outside range but within reasonable bounds } var lowerAge = (ageIndex === 0) ? ages[0] : ages[ageIndex – 1]; var upperAge = ages[ageIndex]; var lowerData = data[lowerAge]; var upperData = data[upperAge]; // Handle exact age match if (age === upperAge) { if (weight upperData.p95) return 95; if (weight upperData.p50) { // Interpolate between 50th and 95th return 50 + (95 – 50) * (weight – upperData.p50) / (upperData.p95 – upperData.p50); } else { return 50; // Exactly 50th percentile } } // Interpolate between two age points var ageRange = upperAge – lowerAge; var weightRatio = (age – lowerAge) / ageRange; var p5 = lowerData.p5 + (upperData.p5 – lowerData.p5) * weightRatio; var p50 = lowerData.p50 + (upperData.p50 – lowerData.p50) * weightRatio; var p95 = lowerData.p95 + (upperData.p95 – lowerData.p95) * weightRatio; if (weight p95) return 95; if (weight p50) { return 50 + (95 – 50) * (weight – p50) / (p95 – p50); } else { return 50; } } function validateInput(id, min, max) { var input = document.getElementById(id); var errorElement = document.getElementById(id + "Error"); var value = parseFloat(input.value); errorElement.classList.remove('visible'); input.style.borderColor = 'var(–border-color)'; if (isNaN(value) || input.value.trim() === "") { errorElement.textContent = "This field is required."; errorElement.classList.add('visible'); input.style.borderColor = '#dc3545'; return false; } if (value max) { errorElement.textContent = "Value is too high."; errorElement.classList.add('visible'); input.style.borderColor = '#dc3545'; return false; } return true; } function calculatePercentile() { var ageInput = document.getElementById('babyAge'); var weightInput = document.getElementById('babyWeight'); var sexSelect = document.getElementById('babySex'); var isValid = true; if (!validateInput('babyAge', 0)) isValid = false; if (!validateInput('babyWeight', 0)) isValid = false; if (!isValid) { return; } var age = parseFloat(ageInput.value); var weight = parseFloat(weightInput.value); var sex = sexSelect.value; var percentile = getPercentile(age, weight, sex); var resultsSection = document.getElementById('resultsSection'); var primaryResult = document.getElementById('primaryResult'); var weightForAgeDisplay = document.getElementById('weightForAge').querySelector('span'); var ageDisplay = document.getElementById('ageInMonths').querySelector('span'); var sexDisplay = document.getElementById('sexUsed').querySelector('span'); var assumptionSexDisplay = document.getElementById('assumptionSex').querySelector('span'); var assumptionAgeDisplay = document.getElementById('assumptionAge').querySelector('span'); var assumptionWeightDisplay = document.getElementById('assumptionWeight').querySelector('span'); if (percentile !== null) { primaryResult.textContent = Math.round(percentile) + "%"; weightForAgeDisplay.textContent = weight.toFixed(2) + " kg"; ageDisplay.textContent = age.toFixed(1) + " months"; sexDisplay.textContent = sex.charAt(0).toUpperCase() + sex.slice(1); assumptionSexDisplay.textContent = sex.charAt(0).toUpperCase() + sex.slice(1); assumptionAgeDisplay.textContent = age.toFixed(1) + " months"; assumptionWeightDisplay.textContent = weight.toFixed(2) + " kg"; resultsSection.style.display = 'block'; updateChart(age, weight, sex); populateTable(); } else { primaryResult.textContent = "N/A"; resultsSection.style.display = 'block'; // Still show section but with N/A } } function resetCalculator() { document.getElementById('babyAge').value = '6'; document.getElementById('babyWeight').value = '7.5'; document.getElementById('babySex').value = 'male'; document.getElementById('babyAgeError').textContent = "; document.getElementById('babyWeightError').textContent = "; document.getElementById('babyAge').style.borderColor = 'var(–border-color)'; document.getElementById('babyWeight').style.borderColor = 'var(–border-color)'; document.getElementById('resultsSection').style.display = 'none'; if (chart) { chart.destroy(); chart = null; } document.querySelector('.chart-container canvas').getContext('2d').clearRect(0, 0, 1, 1); // Clear canvas if no chart object } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var weightForAge = document.getElementById('weightForAge').textContent; var age = document.getElementById('ageInMonths').textContent; var sex = document.getElementById('sexUsed').textContent; var assumptionSex = document.getElementById('assumptionSex').textContent; var assumptionAge = document.getElementById('assumptionAge').textContent; var assumptionWeight = document.getElementById('assumptionWeight').textContent; var resultsText = "Baby Weight Percentile Results:\n\n"; resultsText += "Primary Result: " + primaryResult + "\n"; resultsText += weightForAge + "\n"; resultsText += age + "\n"; resultsText += sex + "\n\n"; resultsText += "Key Assumptions:\n"; resultsText += assumptionSex + "\n"; resultsText += assumptionAge + "\n"; resultsText += assumptionWeight + "\n"; navigator.clipboard.writeText(resultsText).then(function() { // Optional: Show a confirmation message var copyButton = document.querySelector('.button-group button:nth-child(3)'); var originalText = copyButton.textContent; copyButton.textContent = 'Copied!'; setTimeout(function() { copyButton.textContent = originalText; }, 1500); }).catch(function(err) { console.error('Failed to copy results: ', err); // Optional: Show an error message }); } function populateTable() { var tableBody = document.querySelector('#percentileTable tbody'); tableBody.innerHTML = "; // Clear existing rows var sexes = ['male', 'female']; var agesToDisplay = [1, 3, 6, 9, 12, 18, 24]; // Specific ages to show in table sexes.forEach(function(sex) { var sexLabel = sex.charAt(0).toUpperCase() + sex.slice(1); agesToDisplay.forEach(function(age) { var data = cdcWeightData[sex][age]; if (data) { var row = tableBody.insertRow(); var cellAge = row.insertCell(); var cellP5 = row.insertCell(); var cellP50 = row.insertCell(); var cellP95 = row.insertCell(); cellAge.textContent = age + " mo (" + sexLabel + ")"; cellP5.textContent = data.p5.toFixed(2) + " kg"; cellP50.textContent = data.p50.toFixed(2) + " kg"; cellP95.textContent = data.p95.toFixed(2) + " kg"; } }); }); } function updateChart(currentAge, currentWeight, currentSex) { var ctx = document.getElementById('weightChart').getContext('2d'); if (chart) { chart.destroy(); // Destroy previous chart instance } var ages = []; var p5Data = []; var p50Data = []; var p95Data = []; var dataForSex = cdcWeightData[currentSex]; var sortedAges = Object.keys(dataForSex).map(Number).sort(function(a, b) { return a – b; }); sortedAges.forEach(function(age) { ages.push(age); p5Data.push(dataForSex[age].p5); p50Data.push(dataForSex[age].p50); p95Data.push(dataForSex[age].p95); }); // Add current baby's data point var babyDataPoint = { x: currentAge, y: currentWeight, label: 'Your Baby' }; chart = new Chart(ctx, { type: 'line', data: { labels: ages, datasets: [ { label: '5th Percentile', data: p5Data, 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: p50Data, borderColor: 'rgba(54, 162, 235, 0.7)', backgroundColor: 'rgba(54, 162, 235, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: '95th Percentile', data: p95Data, 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: [{ x: currentAge, y: currentWeight }], // Single point for the baby borderColor: 'rgba(255, 206, 86, 1)', backgroundColor: 'rgba(255, 206, 86, 1)', fill: false, tension: 0, pointRadius: 6, // Make the baby's point visible pointHoverRadius: 8 } ] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { title: { display: true, text: 'Age (Months)' }, min: 0, max: 24 // Standard CDC chart range }, y: { title: { display: true, text: 'Weight (kg)' }, min: 0, // Dynamically set max based on data, ensuring baby's weight is visible max: Math.max(…p95Data, currentWeight) * 1.1 || 15 // Ensure max is at least 15kg or higher if baby is heavier } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Baby Weight-for-Age Percentiles (CDC Data)' } } } }); } // Initial population of table and chart on load if default values are present document.addEventListener('DOMContentLoaded', function() { populateTable(); // Optionally, calculate and display chart/results for default values on load calculatePercentile(); });

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