How to Calculate Paediatric Weight

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How to Calculate Paediatric Weight: An Expert's Guide

Accurate weight assessment is crucial for child development. Use our guide and calculator to understand paediatric weight metrics.

Paediatric Weight Calculator

Enter the child's age in full years.
Enter additional months if the child is not yet a full year older.
Male Female
Select the child's biological sex.

Your Child's Weight Assessment

–.– kg
Weight for Age Percentile: –.–%
Estimated Lower Limit (3rd Percentile): –.– kg
Estimated Upper Limit (97th Percentile): –.– kg
The calculator estimates weight based on age and sex using standard WHO growth charts. The primary result is the 50th percentile (median) weight for the given age and sex. The percentile range provides context for healthy growth.

Weight-for-Age Growth Chart (Approximate Median)

This chart shows the estimated median weight for a child of the specified sex up to 5 years old. The calculated 50th percentile point is highlighted.

Typical Weight Ranges (WHO Standards)

Age (Months) Male (Median Weight kg) Female (Median Weight kg)
Approximate median weights are based on WHO growth standards for reference. Actual values may vary.

What is Paediatric Weight Calculation?

Paediatric weight calculation refers to the process of determining a child's weight relative to established growth standards for their age and sex. It's not just about the number on the scale; it's about understanding if that number falls within a healthy range for their developmental stage. This process is fundamental to monitoring a child's growth and identifying potential health concerns early on. Healthcare professionals use these calculations to assess nutritional status, detect growth faltering or excessive weight gain, and make informed clinical decisions.

Who should use it? Primarily, pediatricians, nurses, and other healthcare providers utilize paediatric weight calculations in routine check-ups. However, concerned parents and caregivers can also use these tools to gain a better understanding of their child's growth trajectory between appointments. It's important to remember that this is a supplementary tool, and professional medical advice should always be sought for any health concerns. Understanding how to calculate paediatric weight empowers parents with knowledge about normal developmental patterns.

Common misconceptions about paediatric weight calculation include believing there's a single "ideal" weight for a specific age, or that deviations from the average are always problematic. In reality, growth is a range, and factors like genetics, prematurity, and individual metabolism play significant roles. The goal is healthy, consistent growth along a percentile curve, rather than hitting a specific number. Another misconception is that weight calculation is solely for identifying underweight children; it's equally important for detecting and managing overweight and obesity in children.

{primary_keyword} Formula and Mathematical Explanation

The method for how to calculate paediatric weight typically involves comparing a child's measured weight against standardized growth charts or using specific algorithms derived from these charts. These charts, often provided by organizations like the World Health Organization (WHO) or national health bodies, are based on extensive data from healthy children.

Step-by-step derivation (Conceptual):

  1. Data Collection: Gather the child's precise age (in years and months) and biological sex.
  2. Reference Data: Consult WHO or national growth charts specific to the child's sex and age range. These charts typically plot weight (y-axis) against age (x-axis) for different percentiles (e.g., 3rd, 15th, 50th, 85th, 97th).
  3. Locate Point: Find the child's age on the x-axis and trace up to the corresponding weight measurement on the y-axis.
  4. Determine Percentile: Identify which percentile curve the child's data point falls closest to. This gives the weight-for-age percentile.
  5. Estimate Median (50th Percentile): The 50th percentile line on the chart represents the median weight for that age and sex. This is often the primary value calculated by tools like this calculator.
  6. Determine Range: The 3rd and 97th percentile lines provide the typical lower and upper bounds for healthy weight for age.

Our calculator uses a simplified algorithmic approach based on smoothed percentile curves derived from WHO data. It interpolates or approximates the 3rd, 50th, and 97th percentile weights for the given age and sex.

Variable Explanations:

Variable Meaning Unit Typical Range
Age (Years/Months) The child's precise age, crucial for selecting the correct growth data. Years, Months 0 months to 5 years (for standard charts)
Sex Biological sex of the child, as growth patterns differ between males and females. Categorical Male, Female
Measured Weight The actual weight of the child, obtained using an accurate scale. Kilograms (kg) Varies significantly by age
50th Percentile Weight The median weight for the child's age and sex; represents the average weight. Kilograms (kg) Varies significantly by age
3rd Percentile Weight The lower limit of the typical healthy weight range for the child's age and sex. Kilograms (kg) Varies significantly by age
97th Percentile Weight The upper limit of the typical healthy weight range for the child's age and sex. Kilograms (kg) Varies significantly by age
Weight-for-Age Percentile Indicates where the child's measured weight falls in relation to other children of the same age and sex. % 0% to 100%

Practical Examples (Real-World Use Cases)

Understanding how to calculate paediatric weight is best illustrated with practical scenarios.

Example 1: A Healthy 2-Year-Old Boy

  • Inputs: Age: 2 years, 0 months; Sex: Male
  • Calculator Output (Estimated Median): 12.5 kg
  • Calculator Output (3rd Percentile): 9.8 kg
  • Calculator Output (97th Percentile): 15.5 kg
  • Interpretation: The calculator estimates that the median weight for a 2-year-old boy is approximately 12.5 kg. A healthy weight range would typically fall between 9.8 kg and 15.5 kg. If this child weighed, for instance, 12.3 kg, their weight-for-age percentile would be very close to 50%, indicating typical growth. If the child weighed 9.0 kg, their percentile would be lower, potentially prompting further assessment by a pediatrician to rule out growth concerns.

Example 2: A 9-Month-Old Girl Experiencing Rapid Growth

  • Inputs: Age: 9 months; Sex: Female
  • Calculator Output (Estimated Median): 8.2 kg
  • Calculator Output (3rd Percentile): 6.5 kg
  • Calculator Output (97th Percentile): 10.5 kg
  • Interpretation: For a 9-month-old girl, the median weight is estimated at 8.2 kg, with a healthy range of 6.5 kg to 10.5 kg. If this child weighs 10.2 kg, she is within the upper end of the healthy range (around the 90th percentile). While still considered healthy, this might prompt discussion with a healthcare provider about diet and activity levels to ensure growth remains appropriate and doesn't consistently exceed the upper limits, potentially indicating risks associated with childhood overweight later on. This highlights the importance of tracking how to calculate paediatric weight consistently.

How to Use This Paediatric Weight Calculator

Our paediatric weight calculator is designed for simplicity and accuracy. Follow these steps for a reliable assessment:

  1. Input Age: Accurately enter the child's age in years and months in the respective fields. Ensure you use whole numbers for years and months (0-11 for months).
  2. Select Sex: Choose the child's biological sex (Male or Female) from the dropdown menu. Growth patterns differ, making this distinction vital.
  3. Calculate: Click the "Calculate Weight" button.
  4. Review Results: The calculator will display:
    • Primary Result: The estimated median weight (50th percentile) for the specified age and sex, shown in kilograms (kg).
    • Weight for Age Percentile: An estimation of where the child's median weight falls relative to their peers.
    • Estimated Lower Limit (3rd Percentile): The lower boundary of the typical healthy weight range.
    • Estimated Upper Limit (97th Percentile): The upper boundary of the typical healthy weight range.
  5. Interpret: Compare the child's actual weight (if known) to the displayed ranges. Use the chart and table for visual context and reference against typical values.
  6. Reset: Use the "Reset" button to clear fields and start over with new inputs.
  7. Copy: Use the "Copy Results" button to easily share the calculated metrics.

Decision-making guidance: The results provide a snapshot. If the child's actual weight falls significantly below the 3rd percentile or above the 97th percentile, it warrants discussion with a healthcare provider. Consistent monitoring and understanding how to calculate paediatric weight are key. Minor variations are normal, but concerning trends should be addressed professionally.

Key Factors That Affect Paediatric Weight Results

While the calculator provides a standardized assessment based on age and sex, several real-world factors can influence a child's weight and its interpretation:

  1. Genetics: A child's genetic makeup influences their potential growth rate and body composition. Some children are naturally leaner or larger-boned than the average, which is reflected in their percentile position.
  2. Birth Weight & Gestational Age: Premature babies or those with low birth weight may follow a different growth trajectory initially. Growth charts often have specific considerations for preterm infants, and the calculator's standard approach might need adjustment for these cases.
  3. Nutrition and Diet: Adequate and appropriate nutrition is paramount. Calorie intake, nutrient density, and feeding patterns directly impact weight gain. Conversely, inadequate nutrition leads to faltering growth.
  4. Physical Activity Levels: Energy expenditure through play and exercise affects weight management. Highly active children may weigh differently than less active ones, even at the same age.
  5. Health Conditions: Underlying medical issues, such as chronic illnesses, hormonal imbalances, malabsorption disorders, or metabolic conditions, can significantly impact a child's weight and growth patterns.
  6. Medications: Certain medications can affect appetite, metabolism, or fluid balance, thereby influencing a child's weight.
  7. Puberty Changes: As children approach adolescence, hormonal changes trigger growth spurts and body composition shifts that significantly alter weight and growth patterns. This calculator is primarily for younger children.
  8. Measurement Accuracy: Errors in weighing or measuring the child's age can lead to inaccurate results. Consistent use of calibrated scales and precise age tracking is essential for reliable paediatric weight calculation.

Frequently Asked Questions (FAQ)

Q1: Is the 50th percentile the "ideal" weight for my child?

A1: Not necessarily. The 50th percentile is the median weight, meaning half of children are heavier and half are lighter. A healthy child can grow well along any percentile from the 3rd to the 97th. Consistent growth along their curve is more important than hitting a specific number.

Q2: My child is consistently above the 97th percentile. What should I do?

A2: If your child's weight is consistently above the 97th percentile, it's essential to consult with a pediatrician. They can assess the situation, considering factors like height, body composition, and overall health, to determine if intervention is needed.

Q3: How often should I use a paediatric weight calculator?

A3: Healthcare providers typically assess weight during regular well-child visits (e.g., monthly for infants, then quarterly/annually). Using a calculator at home can supplement this, but it should not replace professional medical assessments.

Q4: Does this calculator provide a medical diagnosis?

A4: No, this calculator is for informational and educational purposes only. It provides an estimate based on standardized data. It cannot diagnose any medical condition. Always consult a healthcare professional for medical advice.

Q5: What if my child's weight seems to fluctuate slightly?

A5: Minor weight fluctuations are normal, especially in infants due to feeding variations or illness. Focus on the overall growth trend over time rather than day-to-day changes. Consistent plotting on a growth chart is the best approach.

Q6: Can I use this calculator for premature babies?

A6: Standard WHO growth charts and this calculator are primarily designed for full-term infants and children. Premature babies often require specialized growth charts that account for their corrected age. Consult your pediatrician for appropriate assessment.

Q7: What is the difference between weight-for-age and BMI-for-age?

A7: Weight-for-age (used here) compares a child's weight to the median weight for their age. BMI-for-age compares a child's Body Mass Index (BMI) to the median BMI for their age and sex. BMI-for-age is often considered a better indicator of body fatness, especially for older children.

Q8: How accurate are the WHO growth charts used for this calculation?

A8: The WHO growth charts are considered the global standard for monitoring child growth and development. They are based on data from large, diverse populations of healthy children and are widely respected in the medical community.

© 2023 Your Pediatric Resource. All rights reserved. This content is for informational purposes only and does not substitute professional medical advice.

var chartInstance = null; // Global variable for chart instance // Data for typical weights (approximations based on WHO median) var weightData = [ { age: 0, male: 3.5, female: 3.4 }, // Birth { age: 1, male: 10.0, female: 9.7 }, // 1 Month { age: 2, male: 11.8, female: 11.3 }, // 2 Months { age: 3, male: 13.3, female: 12.8 }, // 3 Months { age: 4, male: 14.5, female: 14.0 }, // 4 Months { age: 5, male: 15.6, female: 15.1 }, // 5 Months { age: 6, male: 16.5, female: 16.0 }, // 6 Months { age: 7, male: 17.3, female: 16.8 }, // 7 Months { age: 8, male: 18.0, female: 17.5 }, // 8 Months { age: 9, male: 18.6, female: 18.1 }, // 9 Months { age: 10, male: 19.2, female: 18.7 }, // 10 Months { age: 11, male: 19.7, female: 19.2 }, // 11 Months { age: 12, male: 10.2, female: 9.9 }, // 1 Year (12 months) { age: 18, male: 11.8, female: 11.4 }, // 18 Months { age: 24, male: 13.1, female: 12.6 }, // 2 Years (24 months) { age: 30, male: 14.2, female: 13.7 }, // 30 Months { age: 36, male: 15.1, female: 14.5 }, // 3 Years (36 months) { age: 48, male: 16.7, female: 16.1 }, // 4 Years (48 months) { age: 60, male: 18.1, female: 17.4 } // 5 Years (60 months) ]; // Function to generate table rows function populateWeightTable() { var tableBody = document.getElementById("weightTableBody"); tableBody.innerHTML = "; // Clear existing rows weightData.forEach(function(data) { var row = tableBody.insertRow(); var ageCell = row.insertCell(); var maleCell = row.insertCell(); var femaleCell = row.insertCell(); ageCell.textContent = data.age === 12 ? "1 Year" : (data.age === 24 ? "2 Years" : (data.age === 36 ? "3 Years" : (data.age === 48 ? "4 Years" : (data.age === 60 ? "5 Years" : (data.age === 0 ? "Birth" : data.age + " Months"))))); maleCell.textContent = data.male.toFixed(1); femaleCell.textContent = data.female.toFixed(1); }); } // Function to calculate total months function getTotalMonths(years, months) { return (parseInt(years) * 12) + parseInt(months); } // Function to get weight percentile (simplified approximation) // This is a highly simplified model for demonstration. Real growth charts are complex curves. function getApproximateWeightPercentile(totalMonths, sex) { // Rough approximation based on median data points var maleMedian = [3.5, 4.7, 5.7, 6.6, 7.3, 7.9, 8.4, 8.9, 9.3, 9.6, 9.9, 10.1, 11.8, 13.1, 14.2, 15.1, 16.7, 18.1]; // Birth to 60 months approx. median var femaleMedian = [3.4, 4.6, 5.5, 6.3, 7.0, 7.6, 8.1, 8.5, 8.9, 9.2, 9.5, 9.7, 11.3, 12.6, 13.7, 14.5, 16.1, 17.4]; // Birth to 60 months approx. median var dataArray = (sex === 'male') ? maleMedian : femaleMedian; var maxMonths = dataArray.length – 1; // Index for 60 months if (totalMonths < 0) return { median: 3.5, lower: 3.0, upper: 4.0, percentile: 50 }; // Placeholder for = maxMonths) { // For ages beyond data range, use the last available point as an estimate var median = dataArray[maxMonths]; var lower = median * 0.9; // Rough estimate for 3rd percentile var upper = median * 1.1; // Rough estimate for 97th percentile return { median: median.toFixed(2), lower: lower.toFixed(2), upper: upper.toFixed(2), percentile: 50 }; } // Interpolate between points var monthIndex1 = Math.floor(totalMonths); var monthIndex2 = Math.ceil(totalMonths); var fraction = totalMonths – monthIndex1; var median1 = dataArray[monthIndex1]; var median2 = dataArray[monthIndex2]; var median = median1 + fraction * (median2 – median1); // Very rough estimates for 3rd and 97th percentiles based on median deviation var lower1 = maleMedian[monthIndex1] * 0.9; // Using male data for rough deviation calc regardless of sex for simplicity var lower2 = maleMedian[monthIndex2] * 0.9; var lower = lower1 + fraction * (lower2 – lower1); var upper1 = maleMedian[monthIndex1] * 1.1; // Using male data for rough deviation calc regardless of sex for simplicity var upper2 = maleMedian[monthIndex2] * 1.1; var upper = upper1 + fraction * (upper2 – upper1); // Crude percentile estimation – real charts are complex var percentile = 50; if (median < dataArray[Math.floor(dataArray.length/2)]) percentile = 40; if (median < dataArray[Math.floor(dataArray.length/3)]) percentile = 20; if (median < dataArray[Math.floor(dataArray.length/5)]) percentile = 10; if (median < dataArray[0]*1.1) percentile = 5; // Near birth value return { median: median.toFixed(2), lower: lower.toFixed(2), upper: upper.toFixed(2), percentile: percentile // Simplified percentile }; } // Function to update chart function updateChart(totalMonths, sex, calculatedMedianWeight) { var canvas = document.getElementById('weightChart'); var ctx = canvas.getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } var labels = []; var maleMedians = []; var femaleMedians = []; var currentAgeMaxMonths = Math.max(totalMonths, 60); // Ensure chart goes up to at least 60 months if needed for (var i = 0; i 20) { var newLabels = []; var step = Math.ceil(labels.length / 20); for(var i = 0; i { var currentAgeInMonths = idx; // Assuming labels correspond directly to months for simplicity here var labelAgeStr = labels[idx]; var ageInMonths = -1; if (labelAgeStr === 'Birth') ageInMonths = 0; else if (labelAgeStr.includes('m')) ageInMonths = parseInt(labelAgeStr.replace('m', ")); else if (labelAgeStr.includes('Y')) { var years = parseInt(labelAgeStr.replace('Y', ")); ageInMonths = years * 12; } else if (!isNaN(parseInt(labelAgeStr))) { // Handle numerical labels like 1, 2, 3… ageInMonths = parseInt(labelAgeStr); } // Find the index corresponding to the input age var inputAgeTotalMonths = getTotalMonths(document.getElementById('ageYears').value, document.getElementById('ageMonths').value); if (ageInMonths === inputAgeTotalMonths) { return parseFloat(calculatedMedianWeight); } return null; // Don't plot for other ages }), borderColor: 'rgb(255, 206, 86)', backgroundColor: 'rgba(255, 206, 86, 0.5)', fill: false, tension: 0.1, pointRadius: 6, pointHoverRadius: 8, showLine: false // Only show the point }] }, options: { responsive: true, maintainAspectRatio: true, plugins: { title: { display: true, text: `Weight-for-Age Chart (up to ${currentAgeMaxMonths} Months)`, color: 'var(–primary-color)', font: { size: 16 } }, legend: { position: 'top', } }, scales: { x: { title: { display: true, text: 'Age', color: 'var(–label-color)' }, ticks: { autoSkip: false, // Try to show all labels initially maxTicksLimit: 20 // Limit ticks for readability } }, y: { title: { display: true, text: 'Weight (kg)', color: 'var(–label-color)' }, beginAtZero: false // Start y-axis appropriately } } } }); } // Function to validate inputs function validateInputs() { var ageYearsInput = document.getElementById('ageYears'); var ageMonthsInput = document.getElementById('ageMonths'); var errors = false; var ageYears = parseInt(ageYearsInput.value); var ageMonths = parseInt(ageMonthsInput.value); // Clear previous errors document.getElementById('ageYearsError').style.display = 'none'; document.getElementById('ageMonthsError').style.display = 'none'; if (isNaN(ageYears) || ageYears < 0) { document.getElementById('ageYearsError').textContent = 'Please enter a valid number for age in years (0 or more).'; document.getElementById('ageYearsError').style.display = 'block'; errors = true; } if (isNaN(ageMonths) || ageMonths 11) { document.getElementById('ageMonthsError').textContent = 'Please enter a valid number for additional months (0-11).'; document.getElementById('ageMonthsError').style.display = 'block'; errors = true; } return !errors; } // Main calculation function function calculatePaediatricWeight() { if (!validateInputs()) { return; } var ageYears = document.getElementById('ageYears').value; var ageMonths = document.getElementById('ageMonths').value; var sex = document.getElementById('sex').value; var totalMonths = getTotalMonths(ageYears, ageMonths); var result = getApproximateWeightPercentile(totalMonths, sex); var primaryResultElement = document.getElementById('primary-result'); var weightPercentileElement = document.getElementById('weightPercentile'); var lowerLimitElement = document.getElementById('lowerLimit'); var upperLimitElement = document.getElementById('upperLimit'); primaryResultElement.textContent = result.median + ' kg'; weightPercentileElement.textContent = result.percentile + '%'; // Simplified display lowerLimitElement.textContent = result.lower + ' kg'; upperLimitElement.textContent = result.upper + ' kg'; // Update chart updateChart(totalMonths, sex, result.median); } // Reset calculator function function resetCalculator() { document.getElementById('ageYears').value = 3; document.getElementById('ageMonths').value = 6; document.getElementById('sex').value = 'male'; // Clear errors document.getElementById('ageYearsError').style.display = 'none'; document.getElementById('ageMonthsError').style.display = 'none'; // Reset results display document.getElementById('primary-result').textContent = '–.– kg'; document.getElementById('weightPercentile').textContent = '–.–%'; document.getElementById('lowerLimit').textContent = '–.– kg'; document.getElementById('upperLimit').textContent = '–.– kg'; // Clear and potentially reset chart if (chartInstance) { chartInstance.destroy(); chartInstance = null; var canvas = document.getElementById('weightChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); } } // Copy results function function copyResults() { var primaryResult = document.getElementById('primary-result').textContent; var weightPercentile = document.getElementById('weightPercentile').textContent; var lowerLimit = document.getElementById('lowerLimit').textContent; var upperLimit = document.getElementById('upperLimit').textContent; var ageYears = document.getElementById('ageYears').value; var ageMonths = document.getElementById('ageMonths').value; var sex = document.getElementById('sex').value; var resultsText = "Paediatric Weight Assessment:\n"; resultsText += "—————————–\n"; resultsText += "Age: " + ageYears + " years, " + ageMonths + " months\n"; resultsText += "Sex: " + sex.charAt(0).toUpperCase() + sex.slice(1) + "\n"; resultsText += "—————————–\n"; resultsText += "Estimated Median Weight (50th Percentile): " + primaryResult + "\n"; resultsText += "Weight-for-Age Percentile: " + weightPercentile + "\n"; resultsText += "Estimated Lower Limit (3rd Percentile): " + lowerLimit + "\n"; resultsText += "Estimated Upper Limit (97th Percentile): " + upperLimit + "\n"; resultsText += "—————————–\n"; resultsText += "Note: Results are based on simplified WHO growth chart approximations."; // Use navigator.clipboard for modern browsers if (navigator.clipboard) { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy text: ', err); // Fallback for older browsers or if permission denied copyToClipboardFallback(resultsText); }); } else { copyToClipboardFallback(resultsText); } } // Fallback copy function for older browsers function copyToClipboardFallback(text) { var textArea = document.createElement("textarea"); textArea.value = text; 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 ? 'Results copied to clipboard!' : 'Failed to copy results.'; alert(msg); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Failed to copy results. Please copy manually.'); } document.body.removeChild(textArea); } // Initial calculation and table population on page load document.addEventListener('DOMContentLoaded', function() { populateWeightTable(); calculatePaediatricWeight(); // Calculate with default values on load });

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