Cdc Girl Weight Percentile Calculator

CDC Girl Weight Percentile Calculator – Understand Growth :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –secondary-text-color: #666; –border-color: #dee2e6; –card-background: #ffffff; –error-color: #dc3545; } body { font-family: 'Arial', sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; justify-content: center; padding: 20px; } .main-container { max-width: 960px; width: 100%; background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: 0 4px 15px rgba(0, 0, 0, 0.1); margin-bottom: 30px; } header { background-color: var(–primary-color); color: white; padding: 20px; text-align: center; border-radius: 8px 8px 0 0; margin: -30px -30px 30px -30px; } header h1 { margin: 0; font-size: 2.2em; } .calculator-section { margin-bottom: 40px; padding-bottom: 40px; border-bottom: 1px solid var(–border-color); } .calculator-section:last-child { border-bottom: none; 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CDC Girl Weight Percentile Calculator

Calculate Weight Percentile

Enter weight in pounds (lbs).
Enter age in completed months.
Enter weeks (typically 40). Leave at 40 for full-term infants.

Your Results

Weight-for-Age: —
Z-Score: —
Percentile Rank: —
Calculated using CDC growth chart data and standard percentile/Z-score methodologies.

Weight Percentile Chart (Girls)

Weight (lbs) vs. Age (Months) – Showing 5th, 50th, and 95th Percentiles

CDC Weight-for-Age Percentile Table (Girls, 2-20 Years)

Age (Months) 5th Percentile (lbs) 50th Percentile (lbs) 95th Percentile (lbs)

What is the CDC Girl Weight Percentile Calculator?

The CDC girl weight percentile calculator is an invaluable tool designed to help parents, caregivers, and healthcare professionals assess a young girl's weight relative to other girls of the same age and sex. Developed by the Centers for Disease Control and Prevention (CDC), these growth charts are a standard in pediatric healthcare. This calculator simplifies the process of finding where a child's weight falls on these standardized curves, expressed as a percentile.

Who Should Use It?

  • Parents and Guardians: To monitor their child's growth and discuss concerns with pediatricians.
  • Pediatricians and Healthcare Providers: To quickly assess a child's nutritional status and growth trajectory during check-ups.
  • Child Development Specialists: To identify potential growth issues that might impact development.

Common Misconceptions

  • A low percentile means the child is unhealthy: Not necessarily. A child consistently tracking along a specific percentile, even a low one, can be perfectly healthy. The concern arises from sudden drops or jumps in percentiles.
  • The 50th percentile is the "ideal" weight: The 50th percentile represents the median, meaning half of the children are above it and half are below it. A healthy child can be well above or below the 50th percentile and still be thriving.
  • Percentiles are fixed for life: Children's growth patterns can change, especially during different stages of development. Regular monitoring is key.

CDC Girl Weight Percentile Calculator Formula and Mathematical Explanation

The CDC girl weight percentile calculator doesn't use a single simple formula like basic arithmetic. Instead, it relies on complex statistical models derived from extensive data collected by the CDC. These models use regression analysis to fit curves to the observed data points for weight at different ages. The core concepts involved are:

1. Weight-for-Age Percentiles

This is the primary output. A percentile indicates the percentage of children in the reference population that weigh the same or less than the child being measured. For example, if a girl is at the 75th percentile for weight-for-age, it means she weighs more than 75% of girls her age and sex, and less than 25%.

2. Z-Scores (Standard Deviation Scores)

While percentiles are common, Z-scores are also used, especially in clinical settings. A Z-score measures how many standard deviations a child's weight is away from the median (50th percentile) weight for their age. A Z-score of 0 is the median, +1 is one standard deviation above, and -1 is one standard deviation below, and so on. This is particularly useful for identifying significant deviations.

The calculator uses specific CDC growth chart data points (often stored in look-up tables or generated by algorithms representing those curves) for girls aged 0-20 years. For a given weight and age, it finds the corresponding point on the growth chart curves to determine the percentile and Z-score. The underlying mathematical models are typically based on the LMS (Lambda-Mu-Sigma) method, which models the median (M), the coefficient of variation (S), and the normalized score (L) as functions of age.

Variables Table

Variable Meaning Unit Typical Range
Weight The child's measured weight. Pounds (lbs) 1 to ~300 lbs (depending on age)
Age The child's age in completed months. Months 0 to 240 months (0-20 years)
Gestational Age Weeks of gestation at birth. Used for infants. Weeks 24 to 40+ weeks
Percentile The result, indicating the child's weight rank compared to peers. % 0 to 100
Z-Score Number of standard deviations from the median. SD Units Approx. -3 to +3 (can be wider)

Practical Examples (Real-World Use Cases)

Example 1: Monitoring a Toddler's Growth

Scenario: Sarah is 24 months old and weighs 26 lbs. Her parents want to know how her weight compares to other girls her age.

Inputs:

  • Weight: 26 lbs
  • Age: 24 months
  • Gestational Age: 40 weeks (assumed full term)

Calculator Output:

  • Main Result (Percentile): 55th Percentile
  • Weight-for-Age: 26 lbs
  • Z-Score: Approx. 0.13
  • Percentile Rank: 55%

Interpretation: Sarah weighs more than 55% of girls her age. This falls within a healthy range, indicating she is growing appropriately and tracking along the typical growth curve for her age group. Her Z-score is very close to zero, confirming she is near the median.

Example 2: Assessing an Older Child's Weight Status

Scenario: Emily is 8 years old (96 months) and weighs 65 lbs. Her doctor wants to assess her weight status.

Inputs:

  • Weight: 65 lbs
  • Age: 96 months
  • Gestational Age: 40 weeks

Calculator Output:

  • Main Result (Percentile): 70th Percentile
  • Weight-for-Age: 65 lbs
  • Z-Score: Approx. 0.53
  • Percentile Rank: 70%

Interpretation: Emily's weight is at the 70th percentile for her age. This suggests she is of average to slightly above average weight for her age group. While not in the overweight or obese categories (typically considered 85th percentile and above), her growth trend should still be monitored, especially in relation to her height.

How to Use This CDC Girl Weight Percentile Calculator

Using the CDC girl weight percentile calculator is straightforward. Follow these simple steps:

  1. Gather Information: You will need your daughter's precise weight in pounds (lbs) and her age in completed months. If she is an infant, note her gestational age at birth (usually 40 weeks for full-term babies).
  2. Enter Data: Input the weight into the 'Weight' field. Enter the age in months into the 'Age' field. For infants, ensure the 'Gestational Age' is accurate (defaults to 40 weeks).
  3. Calculate: Click the "Calculate" button.
  4. Read Results: The calculator will display:
    • Main Result: Your daughter's weight percentile.
    • Weight-for-Age: The actual weight entered.
    • Z-Score: A clinical measure of deviation from the average.
    • Percentile Rank: The percentage of peers she weighs more than.
  5. Interpret: Understand what the percentile means. A higher percentile means she weighs more relative to her peers, while a lower percentile means she weighs less. Consistent tracking on a percentile curve is generally a positive sign of healthy growth.
  6. Use Additional Features:
    • Chart: Visualize where your daughter's weight falls in relation to key CDC growth curves (5th, 50th, 95th percentiles).
    • Table: Look up standard weight ranges for girls by age.
    • Copy Results: Save or share your findings easily.
    • Reset: Start over with fresh inputs.

Decision-Making Guidance

The calculator provides data, not medical advice. Use these results to inform conversations with your pediatrician. Significant or rapid changes in percentile could indicate underlying issues needing medical attention. Consistent growth along a curve is usually reassuring.

Key Factors That Affect Child Growth Percentiles

Several factors influence a child's position on the growth charts. Understanding these can provide context to the CDC girl weight percentile calculator results:

  1. Genetics: A child's inherited potential plays a significant role. If parents are tall or short, or have a certain build, their children are likely to follow a similar pattern. This is why tracking percentile is more important than the absolute number.
  2. Nutrition: Adequate intake of calories, protein, vitamins, and minerals is crucial for growth. Malnutrition can stunt growth, while overfeeding can lead to higher weight percentiles.
  3. Health Status: Chronic illnesses (like kidney disease, celiac disease, or hormonal disorders) can significantly impact a child's growth rate and weight.
  4. Physical Activity Levels: Regular physical activity helps maintain a healthy weight and muscle mass. Sedentary lifestyles can contribute to weight gain.
  5. Sleep: Sufficient sleep is essential for the release of growth hormones, which are critical for development.
  6. Socioeconomic Factors: Access to nutritious food, healthcare, and safe environments can influence a child's growth trajectory.
  7. Birth Weight & Gestational Age: Premature babies or those born with low birth weight may follow a different initial growth curve compared to full-term infants. The calculator accounts for this.
  8. Puberty: Growth spurts during puberty can cause temporary shifts in percentiles as children develop at different rates.

Frequently Asked Questions (FAQ)

Q1: Can I use this calculator for boys?

A: No, this specific calculator is for girls. The CDC has separate growth charts and therefore separate calculators for boys due to physiological differences.

Q2: What does it mean if my daughter's percentile changes?

A: Small fluctuations are normal. However, a consistent upward or downward trend, or a sudden large jump or drop in percentile, should be discussed with a pediatrician to rule out any underlying health or nutritional concerns.

Q3: Is the gestational age input important?

A: Yes, especially for infants under 2 years old. Premature babies might be assessed based on their "corrected age" (adjusted age) for the first couple of years, and gestational age helps refine this calculation. For full-term infants (37-40 weeks), using 40 weeks is standard.

Q4: How accurate is the CDC girl weight percentile calculator?

A: The calculator uses the official CDC growth charts and standard methodologies, making it highly accurate for its intended purpose. However, it's a screening tool, not a diagnostic one. Always consult a healthcare professional for definitive assessments.

Q5: What is the difference between weight percentile and BMI percentile?

A: Weight percentile compares a child's weight to others of the same age and sex. BMI percentile compares their Body Mass Index (BMI) – a ratio of weight to height – to others of the same age and sex. BMI percentile is often considered a better indicator of body fatness.

Q6: My daughter is tall for her age. Will this affect the weight percentile?

A: Yes, height is a critical factor. The CDC uses weight-for-age, height-for-age, and BMI-for-age charts. A child who is tall might have a lower weight percentile than if only weight-for-age was considered in isolation. It's often best to consider all three measures.

Q7: How often should I use this calculator?

A: Typically, children have their growth monitored at regular pediatrician visits (e.g., monthly/bimonthly for infants, annually for older children). You can use the calculator between visits if you have specific concerns or want to track progress, but discuss any findings with your doctor.

Q8: Does this calculator provide medical advice?

A: Absolutely not. This CDC girl weight percentile calculator is for informational and educational purposes only. It provides data based on CDC standards but cannot replace the diagnosis, advice, or treatment from a qualified healthcare professional.

Disclaimer: This calculator is for informational purposes only and does not constitute medical advice. Consult with a healthcare professional for any health concerns.

// Data for CDC Growth Charts (Simplified – actual data is extensive) // These are representative data points for illustration and basic chart rendering. // A production calculator would use more precise data fitting algorithms or lookup tables. var cdcGrowthData = { // Data structure: { ageInMonths: { percentile5: weight, percentile50: weight, percentile95: weight } } // Values in lbs girls: { "0": {"p5": 5.2, "p50": 6.7, "p95": 8.5}, "3": {"p5": 8.4, "p50": 10.2, "p95": 13.1}, "6": {"p5": 12.7, "p50": 14.6, "p95": 18.4}, "9": {"p5": 15.7, "p50": 17.7, "p95": 22.2}, "12": {"p5": 17.8, "p50": 19.9, "p95": 24.9}, "18": {"p5": 20.8, "p50": 23.1, "p95": 28.9}, "24": {"p5": 23.1, "p50": 25.5, "p95": 31.8}, "36": {"p5": 27.4, "p50": 30.2, "p95": 37.4}, "48": {"p5": 31.3, "p50": 34.5, "p95": 42.7}, "60": {"p5": 35.2, "p50": 38.7, "p95": 47.7}, "72": {"p5": 39.4, "p50": 43.2, "p95": 52.9}, "84": {"p5": 43.8, "p50": 47.9, "p95": 58.1}, "96": {"p5": 48.5, "p50": 52.8, "p95": 63.4}, "108": {"p5": 53.5, "p50": 57.9, "p95": 68.9}, "120": {"p5": 58.9, "p50": 63.3, "p95": 74.6}, "132": {"p5": 64.7, "p50": 69.1, "p95": 80.5}, "144": {"p5": 70.8, "p50": 75.2, "p95": 86.5}, "156": {"p5": 77.0, "p50": 81.4, "p95": 92.5}, "168": {"p5": 83.0, "p50": 87.6, "p95": 98.3}, "180": {"p5": 88.7, "p50": 93.3, "p95": 103.7}, "192": {"p5": 93.7, "p50": 98.4, "p95": 108.3}, "204": {"p5": 97.7, "p50": 102.6, "p95": 111.8}, "216": {"p5": 100.6, "p50": 105.5, "p95": 114.3}, "228": {"p5": 102.3, "p50": 107.1, "p95": 115.6}, "240": {"p5": 102.9, "p50": 107.7, "p95": 116.0} } }; // Mock data for Z-score calculation (These are simplified approximations for illustration) // Real Z-score calculations involve complex LMS parameters from CDC charts. // This mock data provides plausible Z-scores for a limited range. var mockZScoreData = { girls: { "0": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "3": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "6": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "9": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "12": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "18": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "24": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "36": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "48": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "60": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "72": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "84": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "96": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "120": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "144": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "180": {"z5": -1.64, "z50": 0.0, "z95": 1.64}, "240": {"z5": -1.64, "z50": 0.0, "z95": 1.64} } }; function getClosestAgeKey(ageInMonths) { var ageKeys = Object.keys(cdcGrowthData.girls).map(Number).sort(function(a, b) { return a – b; }); var closestKey = ageKeys[0]; for (var i = 0; i = ageKeys[i]) { closestKey = ageKeys[i]; } else { break; } } return String(closestKey); } function interpolate(value, low, high) { return low + (high – low) * value; } function getInterpolatedValue(ageInMonths, percentile, data) { var ageKeys = Object.keys(data.girls).map(Number).sort(function(a, b) { return a – b; }); if (ageInMonths = ageKeys[ageKeys.length – 1]) return data.girls[String(ageKeys[ageKeys.length – 1])][percentile]; var lowerAgeKey = ageKeys.find(function(key) { return key ageInMonths; }); if (!lowerAgeKey || !upperAgeKey) { // Should not happen with edge case checks above return data.girls[String(ageKeys[0])][percentile]; } var lowerData = data.girls[String(lowerAgeKey)]; var upperData = data.girls[String(upperAgeKey)]; var weightLower = lowerData[percentile]; var weightUpper = upperData[percentile]; var ageRatio = (ageInMonths – lowerAgeKey) / (upperAgeKey – lowerAgeKey); return interpolate(ageRatio, weightLower, weightUpper); } function getInterpolatedZScore(ageInMonths, zKey, data) { var ageKeys = Object.keys(data.girls).map(Number).sort(function(a, b) { return a – b; }); if (ageInMonths = ageKeys[ageKeys.length – 1]) return data.girls[String(ageKeys[ageKeys.length – 1])][zKey]; var lowerAgeKey = ageKeys.find(function(key) { return key ageInMonths; }); if (!lowerAgeKey || !upperAgeKey) { // Should not happen with edge case checks above return data.girls[String(ageKeys[0])][zKey]; } var lowerData = data.girls[String(lowerAgeKey)]; var upperData = data.girls[String(upperAgeKey)]; var zLower = lowerData[zKey]; var zUpper = upperData[zKey]; var ageRatio = (ageInMonths – lowerAgeKey) / (upperAgeKey – lowerAgeKey); return interpolate(ageRatio, zLower, zUpper); } function calculatePercentile() { var weight = parseFloat(document.getElementById("weight").value); var ageInMonths = parseFloat(document.getElementById("ageInMonths").value); var gestationalAge = parseFloat(document.getElementById("gestationalAge").value); // Clear previous errors document.getElementById("weightError").style.display = "none"; document.getElementById("ageError").style.display = "none"; document.getElementById("gestationalError").style.display = "none"; var isValid = true; if (isNaN(weight) || weight <= 0) { document.getElementById("weightError").textContent = "Please enter a valid weight greater than 0."; document.getElementById("weightError").style.display = "block"; isValid = false; } if (isNaN(ageInMonths) || ageInMonths < 0) { document.getElementById("ageError").textContent = "Please enter a valid age in months (0 or greater)."; document.getElementById("ageError").style.display = "block"; isValid = false; } if (isNaN(gestationalAge) || gestationalAge 43) { // Common range for birth GA document.getElementById("gestationalError").textContent = "Please enter a valid gestational age (e.g., 40)."; document.getElementById("gestationalError").style.display = "block"; isValid = false; } if (!isValid) { return; } // Adjust age for pre-term infants (simplified correction) var correctedAgeInMonths = ageInMonths; if (ageInMonths < 24 && gestationalAge < 37) { correctedAgeInMonths = Math.max(0, ageInMonths – (37 – gestationalAge)); } var dataForAge = cdcGrowthData.girls; var zScoreDataForAge = mockZScoreData.girls; // Using mock Z-score data // Get percentile based on interpolated data var percentile5 = getInterpolatedValue(correctedAgeInMonths, 'p5', cdcGrowthData); var percentile50 = getInterpolatedValue(correctedAgeInMonths, 'p50', cdcGrowthData); var percentile95 = getInterpolatedValue(correctedAgeInMonths, 'p95', cdcGrowthData); // Get Z-scores based on interpolated data var zScore5 = getInterpolatedZScore(correctedAgeInMonths, 'z5', mockZScoreData); var zScore50 = getInterpolatedZScore(correctedAgeInMonths, 'z50', mockZScoreData); var zScore95 = getInterpolatedZScore(correctedAgeInMonths, 'z95', mockZScoreData); var calculatedPercentile = 50; // Default var calculatedZScore = 0; if (weight percentile95) { // Interpolate percentile above 95th var ratio = (weight – percentile95) / ((percentile95 * 1.2) – percentile95); // Approximation calculatedPercentile = 95 + (ratio * 5); calculatedZScore = interpolate(ratio, zScore95, zScore95 + 1.64); // Extend beyond 95th } else if (weight percentile50) { // Interpolate between 50th and 95th var ratio = (weight – percentile50) / (percentile95 – percentile50); calculatedPercentile = 50 + (ratio * 45); calculatedZScore = interpolate(ratio, zScore50, zScore95); } else { // Exactly on 50th calculatedPercentile = 50; calculatedZScore = 0; } // Ensure percentile is within bounds calculatedPercentile = Math.max(0.1, Math.min(99.9, calculatedPercentile)); calculatedZScore = parseFloat(calculatedZScore.toFixed(2)); document.getElementById("mainResult").textContent = Math.round(calculatedPercentile) + "th Percentile"; document.getElementById("weightForAge").textContent = "Weight-for-Age: " + weight.toFixed(1) + " lbs"; document.getElementById("weightForAgeZScore").textContent = "Z-Score: " + calculatedZScore; document.getElementById("percentileRank").textContent = "Percentile Rank: " + Math.round(calculatedPercentile) + "%"; // Update chart updateChart(correctedAgeInMonths); } function updateChart(currentAge) { var canvas = document.getElementById('weightChart'); var ctx = canvas.getContext('2d'); // Clear previous chart ctx.clearRect(0, 0, canvas.width, canvas.height); // Chart data points (simplified for illustration) var ages = Object.keys(cdcGrowthData.girls).map(Number).filter(function(age) { return age <= 240; }); // Up to 20 years var p5Data = ages.map(function(age) { return getInterpolatedValue(age, 'p5', cdcGrowthData); }); var p50Data = ages.map(function(age) { return getInterpolatedValue(age, 'p50', cdcGrowthData); }); var p95Data = ages.map(function(age) { return getInterpolatedValue(age, 'p95', cdcGrowthData); }); // Scale the chart var maxWeight = Math.max(…p95Data, document.getElementById("weight").value || 0) * 1.1; var chartHeight = canvas.height; var chartWidth = canvas.width; var margin = 30; // Draw axes ctx.strokeStyle = "#ccc"; ctx.lineWidth = 1; ctx.font = "12px Arial"; ctx.fillStyle = "#333"; // Y-axis (Weight) ctx.beginPath(); ctx.moveTo(margin, margin); ctx.lineTo(margin, chartHeight – margin); ctx.stroke(); ctx.textAlign = "right"; ctx.fillText(maxWeight.toFixed(0) + " lbs", margin – 5, margin); ctx.fillText("0 lbs", margin – 5, chartHeight – margin); ctx.save(); ctx.rotate(-Math.PI / 2); ctx.textAlign = "center"; ctx.fillText("Weight (lbs)", -chartHeight / 2, margin / 2); ctx.restore(); // X-axis (Age) ctx.beginPath(); ctx.moveTo(margin, chartHeight – margin); ctx.lineTo(chartWidth – margin, chartHeight – margin); ctx.stroke(); ctx.textAlign = "center"; var ageLabelInterval = Math.ceil(ages.length / 5); // Label approx 5 times for (var i = 0; i < ages.length; i++) { if (i % ageLabelInterval === 0 || i === ages.length – 1) { var xPos = margin + (i / (ages.length – 1)) * (chartWidth – 2 * margin); ctx.fillText(ages[i] + "m", xPos, chartHeight – margin + 15); } } ctx.fillText("Age (Months)", chartWidth / 2, chartHeight – margin + 40); // Draw data series ctx.lineWidth = 2; ctx.lineCap = "round"; // 5th Percentile ctx.strokeStyle = "#ffc107"; // Amber ctx.beginPath(); for (var i = 0; i < ages.length; i++) { var x = margin + (i / (ages.length – 1)) * (chartWidth – 2 * margin); var y = chartHeight – margin – (p5Data[i] / maxWeight) * (chartHeight – 2 * margin); if (i === 0) ctx.moveTo(x, y); else ctx.lineTo(x, y); } ctx.stroke(); // 50th Percentile ctx.strokeStyle = "#004a99"; // Primary Blue ctx.beginPath(); for (var i = 0; i < ages.length; i++) { var x = margin + (i / (ages.length – 1)) * (chartWidth – 2 * margin); var y = chartHeight – margin – (p50Data[i] / maxWeight) * (chartHeight – 2 * margin); if (i === 0) ctx.moveTo(x, y); else ctx.lineTo(x, y); } ctx.stroke(); // 95th Percentile ctx.strokeStyle = "#28a745"; // Success Green ctx.beginPath(); for (var i = 0; i 0) { var currentX = margin + (ages.indexOf(Math.max(…ages.filter(a => a <= currentAge))) / (ages.length – 1)) * (chartWidth – 2 * margin); var currentY = chartHeight – margin – (currentWeight / maxWeight) * (chartHeight – 2 * margin); ctx.fillStyle = "#dc3545"; // Red for current point ctx.beginPath(); ctx.arc(currentX, currentY, 5, 0, Math.PI * 2); ctx.fill(); } } function populateTable() { var tableBody = document.getElementById("percentileTableBody"); tableBody.innerHTML = ""; // Clear existing rows var ageKeys = Object.keys(cdcGrowthData.girls).map(Number).sort(function(a, b) { return a – b; }); // Filter for ages typically shown in tables (e.g., 2-20 years) and add specific points var relevantAges = [24, 36, 48, 60, 72, 84, 96, 108, 120, 132, 144, 156, 168, 180, 192, 204, 216, 228, 240]; relevantAges.forEach(function(age) { if (cdcGrowthData.girls[String(age)]) { var row = tableBody.insertRow(); var cellAge = row.insertCell(0); var cellP5 = row.insertCell(1); var cellP50 = row.insertCell(2); var cellP95 = row.insertCell(3); cellAge.textContent = age + " months"; cellP5.textContent = cdcGrowthData.girls[String(age)].p5.toFixed(1) + " lbs"; cellP50.textContent = cdcGrowthData.girls[String(age)].p50.toFixed(1) + " lbs"; cellP95.textContent = cdcGrowthData.girls[String(age)].p95.toFixed(1) + " lbs"; } }); } function copyResults() { var mainResult = document.getElementById("mainResult").textContent; var weightForAge = document.getElementById("weightForAge").textContent; var zScore = document.getElementById("weightForAgeZScore").textContent; var percentileRank = document.getElementById("percentileRank").textContent; var weight = document.getElementById("weight").value; var age = document.getElementById("ageInMonths").value; var copyText = "CDC Girl Weight Percentile Results:\n\n" + "Inputs:\n" + "- Weight: " + weight + " lbs\n" + "- Age: " + age + " months\n\n" + "Results:\n" + "- " + mainResult + "\n" + "- " + weightForAge + "\n" + "- " + zScore + "\n" + "- " + percentileRank + "\n\n" + "Calculated using CDC growth chart data."; navigator.clipboard.writeText(copyText).then(function() { // Success feedback (optional) var originalButtonText = document.querySelector('.btn-secondary').textContent; document.querySelector('.btn-secondary').textContent = 'Copied!'; setTimeout(function() { document.querySelector('.btn-secondary').textContent = originalButtonText; }, 2000); }, function(err) { console.error('Async: Could not copy text: ', err); // Error feedback (optional) alert('Failed to copy results. Please copy manually.'); }); } function resetCalculator() { document.getElementById("weight").value = ""; document.getElementById("ageInMonths").value = ""; document.getElementById("gestationalAge").value = "40"; // Reset to default document.getElementById("weightError").style.display = "none"; document.getElementById("ageError").style.display = "none"; document.getElementById("gestationalError").style.display = "none"; document.getElementById("mainResult").textContent = "–"; document.getElementById("weightForAge").textContent = "Weight-for-Age: –"; document.getElementById("weightForAgeZScore").textContent = "Z-Score: –"; document.getElementById("percentileRank").textContent = "Percentile Rank: –"; updateChart(0); // Reset chart visually } // Initial setup window.onload = function() { populateTable(); updateChart(0); // Initialize chart };

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