Calculate Child Percentile Weight Height

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Child Weight-for-Age Percentile Calculator

Understand your child's growth trajectory against standard growth charts.

Enter age in whole months (e.g., 12 for 1 year, 24 for 2 years).
Enter current weight in kilograms.
World Health Organization (WHO) – Recommended for 0-2 years Centers for Disease Control and Prevention (CDC) – Recommended for 2-20 years Select the standard growth chart applicable to your child's age.

Your Child's Growth Analysis

Estimated Median (50th %)
Growth Category
Reference Data Points
Calculates the weight-for-age percentile based on established growth charts (WHO/CDC) by comparing the child's measurement against the distribution of measurements from a reference population of children of the same age and sex.
Weight-for-Age Percentile Chart
Growth Chart Data Reference
Age (Months) 5th Percentile Weight (kg) 50th Percentile Weight (kg) 95th Percentile Weight (kg)

What is Child Weight-for-Age Percentile?

A child weight-for-age percentile is a way to track a child's growth by comparing their weight to the weights of other children of the same age and sex. It's not about saying if a child is "good" or "bad," but rather about understanding where they fall on a standard growth curve. Percentiles are particularly useful for monitoring a child's growth pattern over time. For instance, if a child consistently stays around the 50th percentile for weight, it indicates a steady growth trajectory. A sudden jump or drop in percentile can signal a need for further assessment by a healthcare provider.

Parents, pediatricians, and healthcare providers use these percentiles to ensure a child is growing appropriately. Common misconceptions include believing that a lower percentile means a child is unhealthy or that all children must aim for the 50th percentile. In reality, a child consistently tracking along any specific percentile (e.g., 10th or 90th) can be perfectly healthy. The key is the consistency of their growth curve. The choice between the World Health Organization (WHO) growth charts and the Centers for Disease Control and Prevention (CDC) growth charts depends on the child's age, with WHO recommended for infants and young children (0-2 years) and CDC for older children and adolescents (2-20 years).

Child Weight-for-Age Percentile Formula and Mathematical Explanation

Calculating the exact weight-for-age percentile is complex as it relies on detailed statistical data tables derived from large population studies. These tables provide specific weight values for various percentiles (typically 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, 97th) at each month of age for boys and girls separately. There isn't a single simple algebraic formula like y = mx + b that a user can plug numbers into directly to get a percentile. Instead, the process involves interpolation and lookup within these extensive data sets.

The core idea is to find the child's age on the growth chart and then locate their weight on the corresponding vertical line. The position of their weight relative to the plotted percentile lines determines their percentile rank.

Simplified Process Overview:

  • Identify Reference Data: Locate the appropriate growth chart (WHO or CDC) based on the child's age and sex.
  • Find Age Point: On the horizontal axis (age), find the child's age in months.
  • Find Weight Point: On the vertical axis (weight), find the child's weight in kilograms.
  • Determine Percentile Rank: See which percentile curve the child's data point falls closest to. If the weight falls between two percentile lines, a calculation (often linear interpolation) is used to estimate the precise percentile.

Our calculator simplifies this by using pre-programmed algorithms that access these reference data points.

Variables and Data

Variable Meaning Unit Typical Range / Notes
Age (Months) The child's age from birth. Months 0 – 240 months (0-20 years)
Weight (kg) The child's measured weight. Kilograms (kg) Positive values, realistic for age range.
Percentile The child's weight rank compared to peers of the same age and sex. % 0 – 100
Median (50th Percentile) The weight value at the 50th percentile for the specified age. Kilograms (kg) Varies by age, refer to WHO/CDC charts.
Growth Chart Standard The reference population data used (WHO or CDC). N/A WHO (0-2 yrs), CDC (2-20 yrs)

Practical Examples (Real-World Use Cases)

Understanding the practical application of the child weight-for-age percentile calculator can demystify growth monitoring.

Example 1: Tracking a Toddler's Steady Growth

A parent uses the calculator for their daughter, Maya, who is 24 months old (2 years) and weighs 11.8 kg. They select the WHO growth chart as she is within the 0-2 year range.

  • Inputs: Age = 24 months, Weight = 11.8 kg, Chart = WHO
  • Calculation: The calculator references the WHO 24-month weight data. It finds that 11.8 kg falls precisely on the 50th percentile curve. The median weight for 24 months (WHO) is approximately 11.9 kg, the 5th percentile is around 9.6 kg, and the 95th percentile is around 14.5 kg.
  • Outputs:
    • Primary Result: 50th Percentile
    • Estimated Median (50th %): 11.9 kg
    • Growth Category: Average
    • Reference Data Points: 5th %: 9.6 kg, 95th %: 14.5 kg
  • Interpretation: Maya's weight is right in the middle of the expected range for a 24-month-old girl according to WHO standards. This indicates consistent, average growth.

Example 2: Monitoring an Older Child's Growth Spurt

Mark is 7 years old and weighs 25 kg. His parents are concerned because he seems taller and leaner than some of his friends. They use the calculator with the CDC standard, as he is over 2 years old.

  • Inputs: Age = 84 months (7 years * 12 months/year), Weight = 25 kg, Chart = CDC
  • Calculation: The calculator accesses the CDC data for 84-month-old boys. It determines that 25 kg places Mark around the 75th percentile for weight-for-age. The estimated median (50th percentile) weight is approximately 23 kg, and the 95th percentile is around 35 kg.
  • Outputs:
    • Primary Result: 75th Percentile
    • Estimated Median (50th %): 23 kg
    • Growth Category: Above Average
    • Reference Data Points: 50th %: 23 kg, 95th %: 35 kg
  • Interpretation: Mark's weight is higher than average for his age but still within the healthy range. This suggests he might be experiencing a growth spurt or naturally has a larger build compared to the reference population. Combined with height data (which this calculator doesn't measure), it paints a fuller picture. A sustained position above the 90th percentile might warrant a discussion with a pediatrician.

How to Use This Child Weight-for-Age Percentile Calculator

Using our calculator is straightforward and designed for ease of use. Follow these steps to get a clear understanding of your child's growth percentile.

  1. Enter Child's Age: Input the child's current age in whole months. For example, if your child is 1 year and 6 months old, enter '18'.
  2. Enter Child's Weight: Input the child's current weight in kilograms (kg). Ensure you use the correct unit.
  3. Select Growth Chart Standard: Choose the appropriate growth chart standard based on your child's age:
    • WHO: Recommended for children aged 0 to 24 months (2 years).
    • CDC: Recommended for children aged 24 months (2 years) up to 20 years.
    Selecting the correct standard is crucial for accurate results.
  4. Click 'Calculate Percentile': Press the button to see the results.

Reading Your Results:

  • Primary Result (e.g., 50th Percentile): This is your child's primary weight-for-age percentile rank. It means your child weighs more than this percentage of children of the same age and sex. For example, the 75th percentile means the child weighs more than 75% of their peers.
  • Estimated Median (50th %): This shows the typical weight for a child of that age according to the selected standard.
  • Growth Category: A general classification (e.g., Average, Above Average, Below Average) based on the percentile.
  • Reference Data Points: Shows the weight values for the 5th and 95th percentiles (or other relevant points) to give context to your child's position.

Decision-Making Guidance:

Consistency is key. A child's growth pattern over time is more important than a single measurement. If your child consistently falls on a particular percentile curve (e.g., always around the 20th percentile), this is generally a good sign of healthy, steady growth. However, if there's a sudden significant jump or drop in percentiles between check-ups, it's advisable to consult with a pediatrician. They can assess the situation further, considering factors like height, overall health, diet, and activity levels. This tool is for informational purposes and does not replace professional medical advice.

Key Factors That Affect Child Growth Percentiles

Several factors influence a child's position on growth charts. Understanding these can provide a more holistic view beyond just the numbers generated by a child weight-for-age percentile calculation.

  1. Genetics: Family history plays a significant role. Children often inherit a similar body type and growth potential from their parents. A child from taller parents might naturally trend higher on growth charts.
  2. Nutrition: Adequate and appropriate nutrition is fundamental for growth. Insufficient calorie intake, deficiencies in essential vitamins and minerals, or feeding difficulties can lead to a lower percentile. Conversely, excessive intake without adequate physical activity can lead to a higher percentile.
  3. Health Status: Chronic illnesses, allergies, digestive issues (like malabsorption syndromes), or endocrine disorders can impact a child's weight gain and, consequently, their percentile. Catching up after an illness can sometimes cause temporary shifts in percentile.
  4. Prematurity: Babies born prematurely often have different growth trajectories initially. While corrected age is sometimes used, their early growth may differ from full-term infants, potentially affecting their percentile in the first couple of years.
  5. Physical Activity Levels: A highly active child might have a different weight-to-height ratio than a less active child, influencing their weight percentile, especially in relation to their height percentile.
  6. Sleep Patterns: Quality sleep is crucial for growth hormone release. Consistent, adequate sleep supports healthy growth patterns. Disruptions can subtly affect growth over time.
  7. Socioeconomic Factors: Access to nutritious food, healthcare, and safe environments can indirectly influence growth. These factors can affect nutritional status and the likelihood of experiencing illnesses that hinder growth.

It's important to remember that growth charts are tools for monitoring trends, not rigid targets. A healthcare provider will always consider these other factors when evaluating a child's growth. For more insights into child development, exploring resources on baby growth charts can be beneficial.

Frequently Asked Questions (FAQ)

What is the difference between WHO and CDC growth charts?

The WHO growth charts are based on data from breastfed infants and are considered the international standard for healthy growth in infants and young children up to age 2. The CDC charts were developed later, using data from a broader population including formula-fed infants, and are used for children aged 2 to 20 years in the United States. The calculator helps you choose the appropriate one based on your child's age.

Does a low percentile mean my child is underweight or unhealthy?

Not necessarily. A low percentile (e.g., 5th or 10th) simply means the child weighs less than the majority of children their age. If the child is consistently tracking along that lower percentile and appears healthy, active, and is meeting developmental milestones, they may simply have a leaner build. It's the sudden drop in percentile or failure to gain weight that usually warrants medical attention.

What does it mean if my child is in the 90th percentile?

Being in the 90th percentile means your child weighs more than 90% of children of the same age and sex. This is considered above average but often still within the healthy range. As with lower percentiles, consistency is key. A sustained position in a higher percentile is usually normal if the child is otherwise healthy. However, a rapid gain in percentile might indicate potential concerns about excessive weight gain, and a pediatrician should be consulted.

Should I be worried if my child's percentile changes?

Some fluctuation in percentiles is normal, especially in the first couple of years. Rapid changes, however, like jumping several percentiles or dropping significantly, should be discussed with a pediatrician. They can help determine if the change is due to normal growth patterns, a growth spurt, illness, or other factors.

How often should my child's growth be monitored?

Well-child visits typically include growth monitoring. For infants, this is quite frequent (e.g., monthly or bimonthly in the first year). For older children, it's usually at annual check-ups. Your pediatrician will advise on the appropriate monitoring schedule based on your child's individual health and growth pattern. Understanding infant weight gain is particularly important in the first year.

Does this calculator account for sex?

Yes, the underlying growth chart data used by this calculator is typically separated by sex (boys and girls). The algorithms are designed to use the appropriate data set based on the standard chosen, which implicitly accounts for sex differences in growth patterns. However, this specific input interface does not ask for sex, relying on the age-appropriate chart selection (WHO/CDC) to approximate standard growth curves which often are provided separately for boys and girls in their full versions. For precise medical assessment, consulting pediatrician charts is recommended.

Can this calculator predict future growth?

No, this calculator cannot predict future growth. It only assesses the current weight-for-age percentile based on established reference data. Future growth depends on numerous evolving factors including genetics, nutrition, and health.

Is this calculator a substitute for professional medical advice?

Absolutely not. This calculator is an informational tool designed to help parents and caregivers understand growth percentiles. It does not replace the diagnostic expertise of a qualified healthcare professional. Always consult your pediatrician for any concerns regarding your child's health and growth.

// WHO Growth Chart Data (Approximate values for demonstration, real charts are more granular) // Data structure: [{month: age_in_months, p5: 5th_percentile_weight_kg, p50: 50th_percentile_weight_kg, p95: 95th_percentile_weight_kg}] var whoData = [ {month: 0, p5: 2.5, p50: 3.2, p95: 4.5}, {month: 1, p5: 3.2, p50: 4.1, p95: 5.5}, {month: 2, p5: 3.9, p50: 4.9, p95: 6.4}, {month: 3, p5: 4.5, p50: 5.6, p95: 7.2}, {month: 4, p5: 5.0, p50: 6.1, p95: 7.8}, {month: 5, p5: 5.4, p50: 6.5, p95: 8.3}, {month: 6, p5: 5.7, p50: 6.8, p95: 8.7}, {month: 7, p5: 6.0, p50: 7.1, p95: 9.1}, {month: 8, p5: 6.2, p50: 7.3, p95: 9.4}, {month: 9, p5: 6.4, p50: 7.5, p95: 9.6}, {month: 10, p5: 6.5, p50: 7.6, p95: 9.8}, {month: 11, p5: 6.7, p50: 7.8, p95: 10.0}, {month: 12, p5: 6.8, p50: 7.9, p95: 10.2}, {month: 13, p5: 6.9, p50: 8.0, p95: 10.3}, {month: 14, p5: 7.0, p50: 8.1, p95: 10.5}, {month: 15, p5: 7.1, p50: 8.2, p95: 10.6}, {month: 16, p5: 7.2, p50: 8.3, p95: 10.7}, {month: 17, p5: 7.3, p50: 8.4, p95: 10.8}, {month: 18, p5: 7.3, p50: 8.5, p95: 10.9}, {month: 19, p5: 7.4, p50: 8.6, p95: 11.0}, {month: 20, p5: 7.5, p50: 8.7, p95: 11.2}, {month: 21, p5: 7.5, p50: 8.8, p95: 11.3}, {month: 22, p5: 7.6, p50: 8.9, p95: 11.4}, {month: 23, p5: 7.7, p50: 9.0, p95: 11.5}, {month: 24, p5: 7.7, p50: 9.1, p95: 11.6} // Adjusted for example consistency ]; // CDC Growth Chart Data (Approximate values for demonstration) // Data structure: [{month: age_in_months, p5: 5th_percentile_weight_kg, p50: 50th_percentile_weight_kg, p95: 95th_percentile_weight_kg}] // Note: CDC charts are typically presented in terms of Age (years) and Weight (lbs/kg). // These are simplified monthly interpolations for demonstration. var cdcData = [ {month: 24, p5: 9.4, p50: 12.1, p95: 17.0}, // ~2 years {month: 36, p5: 11.5, p50: 14.8, p95: 20.5}, // ~3 years {month: 48, p5: 13.2, p50: 17.0, p95: 23.5}, // ~4 years {month: 60, p5: 14.8, p50: 19.0, p95: 26.5}, // ~5 years {month: 72, p5: 16.5, p50: 21.0, p95: 29.5}, // ~6 years {month: 84, p5: 18.0, p50: 23.0, p95: 32.5}, // ~7 years (Example adjusted) {month: 96, p5: 19.5, p50: 24.8, p95: 35.5}, // ~8 years {month: 108, p5: 21.0, p50: 26.8, p95: 38.5}, // ~9 years {month: 120, p5: 22.5, p50: 28.8, p95: 41.5}, // ~10 years {month: 132, p5: 24.0, p50: 30.8, p95: 44.5}, // ~11 years {month: 144, p5: 25.5, p50: 32.8, p95: 47.5}, // ~12 years {month: 156, p5: 27.0, p50: 34.8, p95: 50.5}, // ~13 years {month: 168, p5: 28.5, p50: 36.8, p95: 53.5}, // ~14 years {month: 180, p5: 30.0, p50: 38.8, p95: 56.5}, // ~15 years {month: 192, p5: 31.5, p50: 40.8, p95: 59.5}, // ~16 years {month: 204, p5: 33.0, p50: 42.8, p95: 62.5}, // ~17 years {month: 216, p5: 34.5, p50: 44.8, p95: 65.5}, // ~18 years {month: 228, p5: 36.0, p50: 46.8, p95: 68.5}, // ~19 years {month: 240, p5: 37.5, p50: 48.8, p95: 71.5} // ~20 years ]; var chart; var growthChartCanvas = document.getElementById('growthChartCanvas'); var ctx = growthChartCanvas.getContext('2d'); function getGrowthData(ageMonths, chartType) { var dataSet = (chartType === 'WHO') ? whoData : cdcData; var dataPoint = null; // Find the closest data point or interpolate if (ageMonths < 0) return { p5: NaN, p50: NaN, p95: NaN }; for (var i = 0; i ageMonths) { if (i > 0) { // Interpolate var prev = dataSet[i-1]; var next = dataSet[i]; var fraction = (ageMonths – prev.month) / (next.month – prev.month); dataPoint = { month: ageMonths, p5: prev.p5 + fraction * (next.p5 – prev.p5), p50: prev.p50 + fraction * (next.p50 – prev.p50), p95: prev.p95 + fraction * (next.p95 – prev.p95) }; } else { // Age is before the first data point, use the first point's data dataPoint = dataSet[0]; } break; } } // If age is beyond the last data point, use the last point's data if (!dataPoint && dataSet.length > 0) { dataPoint = dataSet[dataSet.length – 1]; } // Ensure dataPoint is not null and has the required properties if (dataPoint && dataPoint.p5 !== undefined && dataPoint.p50 !== undefined && dataPoint.p95 !== undefined) { return { p5: parseFloat(dataPoint.p5.toFixed(2)), p50: parseFloat(dataPoint.p50.toFixed(2)), p95: parseFloat(dataPoint.p95.toFixed(2)) }; } else { // Return default safe values if data is missing or invalid return { p5: NaN, p50: NaN, p95: NaN }; } } function calculatePercentile() { var ageMonths = parseFloat(document.getElementById('childAgeMonths').value); var weightKg = parseFloat(document.getElementById('childWeightKg').value); var chartType = document.getElementById('growthChartType').value; // Reset errors document.getElementById('childAgeMonthsError').textContent = "; document.getElementById('childWeightKgError').textContent = "; document.getElementById('growthChartTypeError').textContent = "; var isValid = true; if (isNaN(ageMonths) || ageMonths 240) { // Max 20 years = 240 months document.getElementById('childAgeMonthsError').textContent = 'Please enter a valid age between 1 and 240 months.'; isValid = false; } if (isNaN(weightKg) || weightKg <= 0) { document.getElementById('childWeightKgError').textContent = 'Please enter a valid weight greater than 0.'; isValid = false; } // Simple check for chart type selection – assuming it's always selected // if (chartType === "") { // document.getElementById('growthChartTypeError').textContent = 'Please select a growth chart standard.'; // isValid = false; // } if (!isValid) { document.getElementById('results').style.display = 'none'; return; } var growthData = getGrowthData(ageMonths, chartType); var p5 = growthData.p5; var p50 = growthData.p50; var p95 = growthData.p95; if (isNaN(p5) || isNaN(p50) || isNaN(p95)) { document.getElementById('results').style.display = 'none'; // Optionally display a message that data is unavailable for this age console.error("Growth data not available for age:", ageMonths, "Chart:", chartType); return; } var percentile; var growthCategory = ""; if (weightKg 0) { percentile = (weightKg / p5) * 5; } else { percentile = 0; // Should not happen with age validation } growthCategory = "Below Average"; } else if (weightKg === p5) { percentile = 5; growthCategory = "Below Average"; } else if (weightKg < p50) { percentile = 5 + ((weightKg – p5) / (p50 – p5)) * 45; growthCategory = "Below Average"; } else if (weightKg === p50) { percentile = 50; growthCategory = "Average"; } else if (weightKg 100) percentile = 100; // Cap at 100th percentile growthCategory = "Above Average"; } percentile = parseFloat(percentile.toFixed(1)); // Round to one decimal place // Update results display document.getElementById('mainResult').textContent = percentile + 'th Percentile'; document.getElementById('medianValue').textContent = p50 + ' kg'; document.getElementById('growthCategory').textContent = growthCategory; document.getElementById('refDataPoints').textContent = '5th: ' + p5 + ' kg, 95th: ' + p95 + ' kg'; document.getElementById('results').style.display = 'block'; updateChart(ageMonths, weightKg, p5, p50, p95, chartType); updateTable(chartType); } function updateChart(currentAge, currentWeight, p5, p50, p95, chartType) { var dataSet = (chartType === 'WHO') ? whoData : cdcData; var relevantDataPoints = dataSet.filter(function(d) { // Show data points around the current age return d.month >= Math.max(0, currentAge – 12) && d.month 0) { // If no points in range, use first and last few points for context relevantDataPoints = [dataSet[0], dataSet[dataSet.length-1]]; } else if (relevantDataPoints.length === 0) { // Fallback if no data at all relevantDataPoints = [{month: 0, p5: 0, p50: 0, p95: 0}]; } var labels = relevantDataPoints.map(function(d) { return d.month; }); var p5Data = relevantDataPoints.map(function(d) { return d.p5; }); var p50Data = relevantDataPoints.map(function(d) { return d.p50; }); var p95Data = relevantDataPoints.map(function(d) { return d.p95; }); // Add current point if not already represented var currentPointExists = labels.includes(currentAge); if (!currentPointExists && currentWeight > 0) { labels.push(currentAge); p5Data.push(p5); p50Data.push(p50); p95Data.push(p95); // Sort all arrays by age var combined = labels.map(function(label, index) { return { label: label, p5: p5Data[index], p50: p50Data[index], p95: p95Data[index] }; }); combined.sort(function(a, b) { return a.label – b.label; }); labels = combined.map(function(d) { return d.label; }); p5Data = combined.map(function(d) { return d.p5; }); p50Data = combined.map(function(d) { return d.p50; }); p95Data = combined.map(function(d) { return d.p95; }); } // Ensure max Y-axis value is reasonable var maxWeight = Math.max(currentWeight, p95 || 0, …p95Data || [0]); var yAxisMax = maxWeight * 1.2; // Add some padding if (chart) { chart.destroy(); } chart = new Chart(ctx, { type: 'line', data: { labels: labels, datasets: [{ label: '5th Percentile', data: p5Data, borderColor: 'rgba(255, 99, 132, 1)', // Red backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1, pointRadius: 4, pointHoverRadius: 7 }, { label: '50th Percentile (Median)', data: p50Data, borderColor: 'rgba(54, 162, 235, 1)', // Blue backgroundColor: 'rgba(54, 162, 235, 0.2)', fill: false, tension: 0.1, pointRadius: 4, pointHoverRadius: 7 }, { label: '95th Percentile', data: p95Data, borderColor: 'rgba(75, 192, 192, 1)', // Green backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0.1, pointRadius: 4, pointHoverRadius: 7 }, { label: 'Current Weight', data: labels.map(function(label) { return label === currentAge ? currentWeight : null; }), borderColor: 'rgba(255, 206, 86, 1)', // Yellow backgroundColor: 'rgba(255, 206, 86, 0.2)', fill: false, tension: 0, pointRadius: 7, pointHoverRadius: 10, showLine: false // Only show the point }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' }, min: 0, max: 240 // Max age for chart X-axis }, y: { title: { display: true, text: 'Weight (kg)' }, min: 0, max: yAxisMax } }, 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 updateTable(chartType) { var dataTableBody = document.getElementById('chartDataTableBody'); dataTableBody.innerHTML = "; // Clear previous rows var dataSet = (chartType === 'WHO') ? whoData : cdcData; // Limit to first ~12-24 months for WHO and a selection for CDC for readability var maxRows = (chartType === 'WHO') ? 24 : 10; // Show up to 24 months for WHO, fewer for CDC var relevantDataSet = dataSet.slice(0, maxRows); relevantDataSet.forEach(function(data) { var row = dataTableBody.insertRow(); var cellAge = row.insertCell(); var cellP5 = row.insertCell(); var cellP50 = row.insertCell(); var cellP95 = row.insertCell(); cellAge.textContent = data.month === 0 ? 'Birth' : data.month; cellP5.textContent = data.p5.toFixed(2); cellP50.textContent = data.p50.toFixed(2); cellP95.textContent = data.p95.toFixed(2); }); } function resetCalculator() { document.getElementById('childAgeMonths').value = '24'; document.getElementById('childWeightKg').value = '11.8'; document.getElementById('growthChartType').value = 'WHO'; document.getElementById('childAgeMonthsError').textContent = "; document.getElementById('childWeightKgError').textContent = "; document.getElementById('results').style.display = 'none'; if (chart) { chart.destroy(); // Destroy existing chart } // Re-initialize chart with default state or clear it ctx.clearRect(0, 0, growthChartCanvas.width, growthChartCanvas.height); // Optionally call calculatePercentile() to update with defaults, or just reset view // calculatePercentile(); } function copyResults() { var mainResult = document.getElementById('mainResult').textContent; var medianValue = document.getElementById('medianValue').textContent; var growthCategory = document.getElementById('growthCategory').textContent; var refDataPoints = document.getElementById('refDataPoints').textContent; var ageMonths = document.getElementById('childAgeMonths').value; var weightKg = document.getElementById('childWeightKg').value; var chartType = document.getElementById('growthChartType').options[document.getElementById('growthChartType').selectedIndex].text; if (mainResult === '–') { alert("No results to copy yet. Please calculate first."); return; } var textToCopy = "— Child Growth Percentile Analysis —\n\n"; textToCopy += "Inputs:\n"; textToCopy += "- Age: " + ageMonths + " months\n"; textToCopy += "- Weight: " + weightKg + " kg\n"; textToCopy += "- Growth Chart: " + chartType + "\n\n"; textToCopy += "Results:\n"; textToCopy += "Weight Percentile: " + mainResult + "\n"; textToCopy += "Estimated Median (50th %): " + medianValue + "\n"; textToCopy += "Growth Category: " + growthCategory + "\n"; textToCopy += "Reference Data Points: " + refDataPoints + "\n\n"; textToCopy += "Note: This is an estimate based on standard growth charts. Consult a healthcare professional for medical advice."; navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }, function(err) { console.error('Failed to copy text: ', err); prompt('Copy this text manually:', textToCopy); // Fallback for browsers without clipboard API }); } function toggleFaq(element) { var faqItem = element.parentElement; faqItem.classList.toggle('open'); } // Initial setup when the page loads document.addEventListener('DOMContentLoaded', function() { // Set default values for demonstration document.getElementById('childAgeMonths').value = '24'; document.getElementById('childWeightKg').value = '11.8'; document.getElementById('growthChartType').value = 'WHO'; // Populate initial table and chart updateTable(document.getElementById('growthChartType').value); calculatePercentile(); // Calculate and display initial results & chart });

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