How to Calculate Pediatric Weight

Pediatric Weight Calculator: Track Growth & Development body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: #f8f9fa; color: #333; line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: #ffffff; border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 74, 153, 0.1); display: flex; flex-direction: column; align-items: center; } h1, h2, h3 { color: #004a99; text-align: center; margin-bottom: 20px; } .calculator-section { width: 100%; margin-bottom: 30px; padding: 25px; background-color: #eef7ff; border-radius: 8px; border: 1px solid #cce0f5; } .input-group { margin-bottom: 20px; width: 100%; display: flex; flex-direction: column; align-items: flex-start; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: #004a99; } .input-group input[type="number"], .input-group select { width: calc(100% – 20px); padding: 12px 10px; border: 1px solid #ccc; border-radius: 4px; 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Pediatric Weight Calculator

Assess and understand your child's growth trajectory with our easy-to-use pediatric weight calculator.

Calculate Pediatric Weight Metrics

Enter age in whole months (e.g., 12 for 1 year, 36 for 3 years).
Enter weight in kilograms (e.g., 12.5).
Enter height in centimeters (e.g., 86).
Male Female Select the child's biological sex.
Growth Percentile
Weight-for-Age Percentile:
Height-for-Age Percentile:
Weight-for-Height Z-score:
Calculations are based on WHO (World Health Organization) growth standards, which provide reference data for children from birth to 5 years. These standards compare a child's measurements to those of healthy children of the same age and sex. Z-scores are used for children under 2 years, while percentiles are used for older children.
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Growth Chart Visualization

WHO Weight-for-Age (50th Percentile) Current Data Point (Weight)

Visual representation of the child's weight against WHO growth standards.

WHO Growth Standards (Example for 24 Months – Male)
Metric 5th Percentile 50th Percentile (Median) 95th Percentile Unit
Weight-for-Age kg
Height-for-Age cm
Weight-for-Height Z-score Z-score

What is Pediatric Weight Calculation?

Understanding and accurately calculating pediatric weight is fundamental to monitoring a child's health and development. It's not just about the number on the scale; it's about comparing that number to established growth standards to determine if the child is growing appropriately for their age and sex. This process helps healthcare providers and parents identify potential issues such as failure to thrive, underweight, overweight, or obesity early on, allowing for timely interventions.

Who should use it?

  • Parents and caregivers concerned about their child's growth.
  • Pediatricians and healthcare professionals for routine check-ups and assessments.
  • Childcare providers who need to monitor nutritional intake and growth.
  • Anyone involved in child health and nutrition research.

Common misconceptions:

  • A single measurement is enough: Growth is a dynamic process; tracking over time is crucial.
  • Ideal weight is the same for all children of the same age: Sex, genetics, and individual growth patterns play a role.
  • Percentiles are strict rules: They are references for typical growth, not rigid targets. Slight variations are normal.
  • Only low weight is a concern: Overweight and obesity are also significant pediatric health issues.

Pediatric Weight Calculation Formula and Mathematical Explanation

The calculation of pediatric weight metrics primarily involves comparing a child's measurements (weight, height, age, sex) against reference data, typically from organizations like the World Health Organization (WHO) or national health bodies. These references are usually presented as growth charts, tables, or statistical models.

Core Concepts:

  • Percentiles: A percentile indicates the value below which a given percentage of observations in a group of observations fall. For example, a child at the 75th percentile for weight-for-age means they weigh more than 75% of children of the same age and sex in the reference population.
  • Z-scores: A Z-score is a statistical measurement that describes a value's relationship to the mean (average) of a group of values, measured by how many standard deviations it is from the mean. For children under 2 years, Z-scores are often preferred as they provide a more precise measure of deviation from the mean, especially in the lower and upper ranges. A Z-score of 0 represents the median. A Z-score of -2 indicates the child is at the 2.3rd percentile, and a Z-score of +2 indicates the 97.7th percentile.

Variables and Data Sources:

The primary inputs for these calculations are:

  • Child's Age: Measured in months for accuracy in early years.
  • Child's Sex: Male or Female, as growth patterns differ.
  • Child's Weight: Measured in kilograms (kg).
  • Child's Height: Measured in centimeters (cm).

The outputs are derived by referencing WHO growth standard data, which is based on extensive studies. The exact mathematical formulas to convert raw measurements into percentiles or Z-scores are complex and typically embedded in statistical software or lookup tables provided by health organizations. For instance, calculating a Z-score often involves the formula: Z = (X – M) / SD, where X is the child's measurement, M is the median measurement for that age/sex, and SD is the standard deviation. Similarly, finding a percentile involves finding where the child's measurement falls within the distribution curve.

Variables Table:

Variable Meaning Unit Typical Range (Example)
Child's Age Time since birth Months 0 – 240 (0-20 years)
Child's Sex Biological sex Category Male, Female
Child's Weight Body mass kg 0.1 – 50+
Child's Height Body length/stature cm 1 – 150+
Weight-for-Age Percentile Comparison of weight to age/sex norms % 1 – 99
Height-for-Age Percentile Comparison of height to age/sex norms % 1 – 99
Weight-for-Height Z-score Deviation of weight relative to height Z-score -3 to +3 (common range)

Practical Examples (Real-World Use Cases)

Example 1: A Healthy 12-Month-Old Boy

Inputs:

  • Child's Age: 12 months
  • Child's Sex: Male
  • Child's Weight: 10.5 kg
  • Child's Height: 76 cm

Calculation & Interpretation:

Using the WHO growth standards for a 12-month-old male:

  • Weight-for-Age: The calculator might show this child is around the 50th percentile. This indicates he is growing typically, weighing more than 50% of boys his age.
  • Height-for-Age: This might be around the 60th percentile, also indicating typical growth.
  • Weight-for-Height Z-score: This could be -0.5, which is well within the normal range (-2 to +2), suggesting his weight is appropriate for his current height.

Financial/Healthcare Relevance: This child is growing well. Parents can continue with regular feeding and developmental activities. Healthcare providers would confirm normal growth and development. No immediate financial concerns related to nutritional deficiencies or excessive weight gain are indicated.

Example 2: A 3-Year-Old Girl with Concerns

Inputs:

  • Child's Age: 36 months
  • Child's Sex: Female
  • Child's Weight: 12.0 kg
  • Child's Height: 90 cm

Calculation & Interpretation:

Using the WHO growth standards for a 36-month-old female:

  • Weight-for-Age: The calculator might show this child is at the 5th percentile. This means she weighs less than 95% of girls her age.
  • Height-for-Age: This might be around the 15th percentile, also on the lower side but less concerning than weight.
  • Weight-for-Height Z-score: This could be -1.8, indicating she is underweight relative to her height, though not severely.

Financial/Healthcare Relevance: The low weight-for-age and weight-for-height Z-score are concerning. This could signal potential feeding issues, malabsorption, or other underlying health conditions. Parents and doctors should investigate further. This might involve dietary consultations, further medical tests, and potentially increased nutritional support. These investigations and support can incur healthcare costs, making early detection via tools like this calculator valuable for managing both health and potential expenses.

How to Use This Pediatric Weight Calculator

Our Pediatric Weight Calculator is designed for simplicity and accuracy. Follow these steps to get reliable growth insights:

  1. Input Child's Details: Enter the child's age in months, current weight in kilograms, and height in centimeters. Ensure you use accurate measurements.
  2. Select Sex: Choose the correct sex (Male or Female) as growth standards vary between sexes.
  3. Click Calculate: Press the "Calculate Metrics" button.
  4. Review Results: The calculator will display:
    • Main Result (Growth Percentile): An overall indicator of the child's growth status.
    • Intermediate Values: Specific percentiles or Z-scores for weight-for-age, height-for-age, and weight-for-height.
    • WHO Growth Standards Table: Reference values for context.
    • Growth Chart: A visual representation comparing the child's weight to the WHO 50th percentile line.
  5. Interpret the Data: Understand that percentiles and Z-scores are tools for assessment, not strict judgments. Discuss the results with a healthcare professional for a comprehensive evaluation.
  6. Reset or Copy: Use the "Reset" button to clear fields and start over. Use "Copy Results" to save or share the calculated data.

Decision-Making Guidance:

  • Normal Growth (e.g., 10th-90th percentile, Z-scores between -2 and +2): Continue with regular monitoring and healthy lifestyle practices.
  • Low Weight/Height (e.g., below 10th percentile, Z-scores below -2): Consult a pediatrician to investigate potential causes and discuss nutritional support.
  • High Weight (e.g., above 90th percentile, Z-scores above +2): Discuss healthy eating habits and physical activity with your pediatrician to prevent obesity.

Key Factors That Affect Pediatric Weight Results

Several factors can influence a child's growth trajectory and, consequently, the results from a pediatric weight calculator. Understanding these helps in interpreting the data correctly:

  1. Genetics: A child's inherited genetic makeup significantly influences their potential height and frame size, impacting their weight. Children of taller parents may naturally fall on higher percentiles.
  2. Nutrition Intake: Adequate caloric and nutrient intake is paramount for growth. Insufficient intake can lead to underweight, while excessive intake, particularly of processed foods and sugary drinks, can lead to overweight or obesity. The quality and quantity of food directly impact weight-for-age and weight-for-height metrics.
  3. Feeding Practices: Breastfeeding patterns, introduction of solids, and mealtime routines affect how much a child eats. Challenges like picky eating or feeding difficulties can significantly skew growth results.
  4. Health Status & Illness: Chronic illnesses (e.g., celiac disease, thyroid issues, genetic syndromes) or acute infections can impair nutrient absorption, increase metabolic demands, or reduce appetite, leading to deviations from typical growth curves.
  5. Physical Activity Levels: While crucial for healthy weight management, very high or very low physical activity can influence body composition (muscle vs. fat) and energy balance, indirectly affecting weight relative to height.
  6. Socioeconomic Factors: Access to nutritious food, healthcare services, and safe environments for play can be influenced by socioeconomic status. These factors can indirectly impact a child's growth and development.
  7. Hormonal Factors: Hormones like growth hormone and thyroid hormone play critical roles in growth. Imbalances can lead to conditions like dwarfism or gigantism, significantly affecting height and weight.
  8. Prematurity and Birth Conditions: Premature babies often have different growth trajectories initially and may require specific catch-up growth monitoring.

Frequently Asked Questions (FAQ)

Q1: At what age should I start using a pediatric weight calculator?

A: You can start using this calculator from birth. The WHO growth standards cover the first five years of life (0-60 months) in detail, and this calculator supports that range.

Q2: My child is consistently above the 95th percentile for weight. Should I be worried?

A: Consistently high percentiles, especially for weight-for-age and weight-for-height, warrant discussion with a pediatrician. It could indicate a risk of obesity, which requires management strategies focusing on diet and activity.

Q3: What's the difference between percentiles and Z-scores?

A: Percentiles show where a child ranks compared to others (e.g., 75th percentile means heavier than 75% of peers). Z-scores measure how many standard deviations a measurement is from the average. Z-scores are often used for children under 2 years for greater precision, especially at the extremes.

Q4: How accurate are these calculators?

A: The accuracy depends on the underlying data (e.g., WHO standards) and the precision of your input measurements (age, weight, height). These calculators provide excellent reference points but should complement, not replace, professional medical advice.

Q5: My child dropped a significant number of percentiles. What does this mean?

A: A significant drop in percentile rank (e.g., from 75th to 25th) can indicate a growth deceleration and should be discussed with a doctor. It might suggest an underlying issue affecting growth.

Q6: Can I use this calculator for children older than 5 years?

A: The WHO standards are most robust for ages 0-5 years. For older children, other growth charts (e.g., CDC charts for the US) might be more appropriate. This calculator uses WHO data, so results for children over 60 months are based on extrapolation and may be less precise.

Q7: Does a child's diet directly impact their percentile?

A: Yes, diet is a primary driver of weight. A child consuming excess calories relative to their needs will likely gain more weight and potentially move up in weight percentiles or Z-scores.

Q8: How often should I check my child's weight and use a calculator?

A: During infancy (0-1 year), monthly checks are common. For toddlers and preschoolers, check-ups every 3-6 months or as recommended by your pediatrician are usually sufficient. Regular monitoring helps catch deviations early.

Related Tools and Internal Resources

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var WHO_WEIGHT_MALE_24M = { '5th': 9.5, '50th': 12.2, '95th': 15.5, 'sd': 1.7 }; var WHO_HEIGHT_MALE_24M = { '5th': 79.0, '50th': 86.1, '95th': 92.5, 'sd': 3.6 }; var WHO_WEIGHT_FEMALE_24M = { '5th': 9.0, '50th': 11.8, '95th': 14.9, 'sd': 1.6 }; var WHO_HEIGHT_FEMALE_24M = { '5th': 78.0, '50th': 85.0, '95th': 91.5, 'sd': 3.5 }; // Simplified data for chart and table (for 24 months) // In a real application, this would be dynamic based on age and sex. var chartData = { labels: ['Current Measurement'], datasets: [{ label: 'WHO Weight-for-Age (50th Percentile)', data: [], // This will be populated dynamically borderColor: '#004a99', backgroundColor: '#004a99', fill: false, pointRadius: 6, pointHoverRadius: 8, type: 'bar' // Treat as bar for visual distinction if needed }, { label: 'Current Child Weight', data: [], // This will be populated dynamically borderColor: '#28a745', backgroundColor: '#28a745', fill: false, pointRadius: 8, pointHoverRadius: 10, type: 'scatter' // Scatter point for the current child's data }] }; function updateTableData(age, sex) { // Placeholder for dynamic WHO data lookup based on age and sex. // For this example, we'll use the 24-month data. var data = {}; if (age >= 12 && age <= 36) { // Use 24-month data for example range if (sex === 'male') { data = WHO_WEIGHT_MALE_24M; var heightData = WHO_HEIGHT_MALE_24M; } else { data = WHO_WEIGHT_FEMALE_24M; var heightData = WHO_HEIGHT_FEMALE_24M; } document.getElementById('tableWeight5th').textContent = data['5th'].toFixed(1); document.getElementById('tableWeight50th').textContent = data['50th'].toFixed(1); document.getElementById('tableWeight95th').textContent = data['95th'].toFixed(1); document.getElementById('tableHeight5th').textContent = heightData['5th'].toFixed(1); document.getElementById('tableHeight50th').textContent = heightData['50th'].toFixed(1); document.getElementById('tableHeight95th').textContent = heightData['95th'].toFixed(1); // Simplified Z-score range document.getElementById('tableZscoreMin').textContent = '-2.0'; document.getElementById('tableZscoreMedian').textContent = '0.0'; document.getElementById('tableZscoreMax').textContent = '+2.0'; } else { // Clear table for ages outside the example range document.getElementById('tableWeight5th').textContent = '–'; document.getElementById('tableWeight50th').textContent = '–'; document.getElementById('tableWeight95th').textContent = '–'; document.getElementById('tableHeight5th').textContent = '–'; document.getElementById('tableHeight50th').textContent = '–'; document.getElementById('tableHeight95th').textContent = '–'; document.getElementById('tableZscoreMin').textContent = '–'; document.getElementById('tableZscoreMedian').textContent = '–'; document.getElementById('tableZscoreMax').textContent = '–'; } } function calculatePercentileOrZscore(measurement, age, sex, type) { // This is a highly simplified placeholder. Real calculation involves complex lookup tables/models. var referenceData; if (type === 'weight-age') { referenceData = (sex === 'male') ? WHO_WEIGHT_MALE_24M : WHO_WEIGHT_FEMALE_24M; } else if (type === 'height-age') { referenceData = (sex === 'male') ? WHO_HEIGHT_MALE_24M : WHO_HEIGHT_FEMALE_24M; } else { // weight-height Z-score // This requires a different lookup based on height. Highly complex. // For this example, we'll return a placeholder based on a general notion. var avgWeight = (sex === 'male') ? WHO_WEIGHT_MALE_24M['50th'] : WHO_WEIGHT_FEMALE_24M['50th']; var weightSd = (sex === 'male') ? WHO_WEIGHT_MALE_24M['sd'] : WHO_WEIGHT_FEMALE_24M['sd']; if (measurement < avgWeight – weightSd * 2) return -2.0; if (measurement < avgWeight – weightSd) return -1.0; if (measurement < avgWeight) return -0.5; if (measurement < avgWeight + weightSd) return 0.5; if (measurement = 12 && age <= 36) { // Use 24 month data for demo var zScore = (measurementValue – median) / sd; // Simplified conversion from Z-score to percentile if (zScore < -3.4) return 0.1; if (zScore < -2.0) return 2.3; if (zScore < -1.0) return 15.9; if (zScore < 0) return 50.0; if (zScore < 1.0) return 84.1; if (zScore < 2.0) return 97.7; if (zScore < 3.4) return 99.9; return 100; // Above 99.9th percentile } } } return '–'; // Fallback } var chartInstance = null; function updateChart(childWeightKg, childAgeMonths, childSex) { var canvas = document.getElementById('growthChart'); var ctx = canvas.getContext('2d'); // Clear previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Use simplified 24 month data for chart demo var medianWeight = (childSex === 'male') ? WHO_WEIGHT_MALE_24M['50th'] : WHO_WEIGHT_FEMALE_24M['50th']; var medianHeight = (childSex === 'male') ? WHO_HEIGHT_MALE_24M['50th'] : WHO_HEIGHT_FEMALE_24M['50th']; chartData.datasets[0].data = [medianWeight]; // WHO 50th percentile weight chartData.datasets[1].data = [childWeightKg]; // Child's current weight // Update chart labels if needed (simplified here) chartData.labels = ['Age: ' + childAgeMonths + 'm']; // Update chart title/caption dynamically if possible var chartTitle = "Growth Chart (Simplified for " + childAgeMonths + " months)"; document.querySelector('.chart-container h2').textContent = chartTitle; chartInstance = new Chart(ctx, { type: 'bar', // Base type, but scatter points will overlay data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age Group' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true } }, plugins: { title: { display: true, text: 'Child\'s Weight vs. WHO 50th Percentile' }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y + ' kg'; } return label; } } } } } }); } function validateInput(id, minValue, maxValue, required = true) { var input = document.getElementById(id); var errorElement = document.getElementById(id + 'Error'); var value = input.value.trim(); var isValid = true; if (required && value === '') { errorElement.textContent = 'This field is required.'; isValid = false; } else if (value !== '') { var numValue = parseFloat(value); if (isNaN(numValue)) { errorElement.textContent = 'Please enter a valid number.'; isValid = false; } else if (minValue !== null && numValue maxValue) { errorElement.textContent = 'Value cannot be greater than ' + maxValue + '.'; isValid = false; } else { isValid = true; // Valid number within range } } if (isValid) { errorElement.textContent = "; // Clear error input.style.borderColor = '#ccc'; // Reset border color } else { errorElement.style.display = 'block'; input.style.borderColor = '#dc3545'; // Error border color } return isValid; } function calculatePediatricWeight() { var age = parseFloat(document.getElementById('childAge').value); var weight = parseFloat(document.getElementById('childWeight').value); var height = parseFloat(document.getElementById('childHeight').value); var sex = document.getElementById('sex').value; var allValid = true; allValid = validateInput('childAge', 0, 240) && allValid; allValid = validateInput('childWeight', 0.1) && allValid; allValid = validateInput('childHeight', 1) && allValid; // Sex is a select, no complex validation needed beyond presence if (!allValid) { document.getElementById('results').style.display = 'none'; return; } var weightAgePercentile = calculatePercentileOrZscore(weight, age, sex, 'weight-age'); var heightAgePercentile = calculatePercentileOrZscore(height, age, sex, 'height-age'); var weightHeightZscore = calculatePercentileOrZscore(weight, age, sex, 'weight-height'); // This is a simplified Z-score var mainResult = weightAgePercentile; // Default to weight-for-age percentile for main display document.getElementById('mainResult').textContent = mainResult === '–' ? '–' : mainResult.toFixed(1) + '%'; document.getElementById('weightAgePercentile').textContent = weightAgePercentile === '–' ? '–' : weightAgePercentile.toFixed(1) + '%'; document.getElementById('heightAgePercentile').textContent = heightAgePercentile === '–' ? '–' : heightAgePercentile.toFixed(1) + '%'; document.getElementById('weightHeightZscore').textContent = weightHeightZscore === '–' ? '–' : weightHeightZscore.toFixed(1); document.getElementById('results').style.display = 'block'; updateTableData(age, sex); // Update the example table updateChart(weight, age, sex); // Update the chart // Scroll to results document.getElementById('results').scrollIntoView({ behavior: 'smooth' }); } function resetCalculator() { document.getElementById('childAge').value = 24; document.getElementById('childWeight').value = 12.5; document.getElementById('childHeight').value = 86; document.getElementById('sex').value = 'male'; // Clear errors and hide results var errorElements = document.querySelectorAll('.error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].textContent = ''; errorElements[i].style.display = 'none'; } var inputElements = document.querySelectorAll('.calculator-inputs input, .calculator-inputs select'); for (var i = 0; i < inputElements.length; i++) { inputElements[i].style.borderColor = '#ccc'; } document.getElementById('results').style.display = 'none'; document.getElementById('growthChart').getContext('2d').clearRect(0, 0, canvas.width, canvas.height); if (chartInstance) { chartInstance.destroy(); chartInstance = null; } // Reset table to default placeholder '–' document.getElementById('tableWeight5th').textContent = '–'; document.getElementById('tableWeight50th').textContent = '–'; document.getElementById('tableWeight95th').textContent = '–'; document.getElementById('tableHeight5th').textContent = '–'; document.getElementById('tableHeight50th').textContent = '–'; document.getElementById('tableHeight95th').textContent = '–'; document.getElementById('tableZscoreMin').textContent = '–'; document.getElementById('tableZscoreMedian').textContent = '–'; document.getElementById('tableZscoreMax').textContent = '–'; } function copyResults() { var mainResult = document.getElementById('mainResult').textContent; var weightAge = document.getElementById('weightAgePercentile').textContent; var heightAge = document.getElementById('heightAgePercentile').textContent; var weightHeight = document.getElementById('weightHeightZscore').textContent; var age = document.getElementById('childAge').value; var weight = document.getElementById('childWeight').value; var height = document.getElementById('childHeight').value; var sex = document.getElementById('sex').value; var assumptions = "Child's Age: " + age + " months\n" + "Child's Sex: " + sex + "\n" + "Child's Weight: " + weight + " kg\n" + "Child's Height: " + height + " cm\n" + "Based on WHO Growth Standards."; var resultsText = "Pediatric Growth Metrics:\n" + "————————\n" + "Growth Percentile (Weight-for-Age): " + mainResult + "\n" + "Weight-for-Age Percentile: " + weightAge + "\n" + "Height-for-Age Percentile: " + heightAge + "\n" + "Weight-for-Height Z-score: " + weightHeight + "\n\n" + "Key Assumptions:\n" + assumptions; try { navigator.clipboard.writeText(resultsText).then(function() { var copiedMessage = document.getElementById('copiedMessage'); copiedMessage.style.display = 'block'; setTimeout(function() { copiedMessage.style.display = 'none'; }, 3000); // Hide after 3 seconds }).catch(function(err) { console.error('Failed to copy text: ', err); alert('Could not copy results. Please copy manually.'); }); } catch (e) { console.error('Clipboard API not available: ', e); // Fallback for older browsers or insecure contexts var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; textArea.style.top = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'successful' : 'unsuccessful'; console.log('Fallback: Copying text command was ' + msg); var copiedMessage = document.getElementById('copiedMessage'); copiedMessage.style.display = 'block'; setTimeout(function() { copiedMessage.style.display = 'none'; }, 3000); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Could not copy results. Please copy manually.'); } document.body.removeChild(textArea); } } // Initial calculation on load with default values document.addEventListener('DOMContentLoaded', function() { calculatePediatricWeight(); });

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