Weight Growth Percentile Calculator

Weight Growth Percentile Calculator for Babies & Children :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ccc; –shadow-color: rgba(0, 0, 0, 0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); margin: 0; padding: 0; line-height: 1.6; display: flex; justify-content: center; padding: 20px; } .container { max-width: 1000px; width: 100%; background-color: #fff; padding: 30px; border-radius: 8px; box-shadow: 0 4px 12px var(–shadow-color); margin-bottom: 30px; } h1, h2, h3 { color: var(–primary-color); text-align: center; margin-bottom: 20px; } h1 { font-size: 2.2em; margin-bottom: 30px; } h2 { font-size: 1.8em; margin-top: 40px; border-bottom: 2px solid var(–primary-color); padding-bottom: 10px; } h3 { font-size: 1.4em; margin-top: 30px; } .loan-calc-container { background-color: #f0f2f5; padding: 25px; border-radius: 8px; margin-bottom: 30px; 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Weight Growth Percentile Calculator

Understand your child's growth trajectory by calculating their weight percentile.

Calculate Weight Percentile

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

Your Child's Growth Data

Age: — months
Weight: — kg
Sex: —
Percentile indicates the percentage of children of the same age and sex whose weight is below the child's weight. Calculations are based on WHO growth standards.

Understanding Percentiles

A weight percentile is a way to compare a child's weight to other children of the same age and sex. For example, if a child is at the 50th percentile for weight, it means their weight is the same as or heavier than 50% of children their age and sex, and lighter than the other 50%.

Weight-for-Age Chart (WHO Standards)

Child's Weight 50th Percentile (Median)

This chart visualizes your child's weight against WHO growth standards.

Weight-for-Age Data Table (WHO Standards)

Weight-for-Age Percentiles (kg) – Males (Example Data)
Age (Months) 3rd % 15th % 50th % (Median) 85th % 97th %

Sample data for male infants. Data varies slightly for females and specific age groups.

What is a Weight Growth Percentile Calculator?

A weight growth percentile calculator is a tool designed to help parents, caregivers, and healthcare professionals assess a child's weight in relation to established growth standards. It compares a child's weight against a reference population of children of the same age and sex. The result, expressed as a percentile, indicates how a child's weight ranks within that group. For instance, being in the 75th percentile means the child weighs more than 75% of their peers. This tool is crucial for monitoring healthy development and identifying potential issues like undernutrition or overweight early on. It's important to remember that percentiles are just one part of a comprehensive growth assessment, which also includes height, head circumference, and overall health.

Who should use it: Parents, pediatricians, nurses, childcare providers, and anyone involved in a child's care can benefit from using this calculator. It's particularly useful for tracking growth trends over time and discussing concerns with healthcare professionals. It's a valuable resource for understanding if a child's weight is developing appropriately according to globally recognized standards.

Common misconceptions: A common misconception is that children should always be at or near the 50th percentile. In reality, a wide range of percentiles can be considered healthy, as long as the child's growth is following a consistent and stable curve. Another misconception is that a single percentile reading is definitive; growth patterns and the child's overall well-being are more important than a single data point. This tool helps visualize where a child falls, but it's not a diagnostic tool on its own. For nuanced interpretation, consulting a pediatrician is always recommended. Learn how to use our calculator to get started.

Weight Growth Percentile Formula and Mathematical Explanation

Calculating the exact weight percentile for children typically involves complex statistical models and lookup tables derived from large population studies, such as those by the World Health Organization (WHO) or the Centers for Disease Control and Prevention (CDC). These models use regression techniques to estimate the values for specific percentiles (e.g., 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, 97th) at different ages and for different sexes. The core idea is to find where a child's specific weight falls within the distribution of weights for their age and sex group.

The underlying mathematical principle is based on the **Generalized Lambda Distribution (GLD)** or similar statistical methods used to model growth curves. For practical purposes and user-friendly calculators, we often simplify this by using a lookup table or an approximation formula that interpolates values from established growth charts. A simplified conceptual approach involves:

  1. Selecting the correct reference data based on the child's sex.
  2. Finding the age closest to the child's age in months within the reference data.
  3. Locating the child's measured weight within the weight ranges provided for that age and sex.
  4. Determining the corresponding percentile value.

Our calculator uses pre-computed values and interpolation based on WHO growth standards to provide an accurate estimate. The exact formula is complex and often proprietary to the growth chart developers, but the output represents the probability that a randomly selected child of the same age and sex would have a weight less than or equal to the child in question.

Variables Explained

Variables Used in Weight Percentile Calculation
Variable Meaning Unit Typical Range
Sex Biological sex of the child Categorical (Male/Female) Male, Female
Age Child's age Months 0 – 60 (Commonly used range for WHO standards)
Weight Child's measured weight Kilograms (kg) 0.5 kg – 30 kg (approximate, depending on age)
Percentile The calculated rank of the child's weight % 0 – 100

Formula Approximation (Conceptual)

While the exact WHO formulas are complex, a simplified model might look conceptually like interpolating between known points on a standardized curve. For a given age and sex, if we have weights corresponding to different percentiles (e.g., W3rd, W50th, W97th), and the child's weight is Wchild:

If Wchild falls between Wp1 and Wp2 (where p1 < p2), the child's percentile Pchild would be interpolated between p1 and p2.

P_child = p1 + ((W_child - W_p1) / (W_p2 - W_p1)) * (p2 - p1)

This is a simplification; real-world calculations use more sophisticated curve fitting.

Practical Examples (Real-World Use Cases)

Example 1: Tracking Healthy Growth

Scenario: Sarah is 12 months old and weighs 9.5 kg. Her parents want to know how her weight compares to other 12-month-old girls.

Inputs:

  • Sex: Female
  • Age: 12 months
  • Weight: 9.5 kg

Calculation & Output: Using the calculator, Sarah's weight growth percentile is approximately the 60th percentile.

Interpretation: This means Sarah weighs the same as or more than 60% of 12-month-old girls and less than 40%. This is considered a healthy and well-established growth pattern, showing consistent development within the normal range.

Example 2: Identifying Potential Concerns

Scenario: David is 24 months old and weighs 10.2 kg. His parents are concerned he seems underweight compared to other toddlers.

Inputs:

  • Sex: Male
  • Age: 24 months
  • Weight: 10.2 kg

Calculation & Output: The calculator shows David's weight growth percentile is approximately the 5th percentile.

Interpretation: A 5th percentile weight indicates that David weighs the same as or more than only 5% of 24-month-old boys. While this might still be within a "normal" range according to some guidelines, it is at the lower end. This result warrants a discussion with a pediatrician to ensure there are no underlying issues affecting his growth, such as dietary intake, absorption problems, or other health conditions. Use our calculator to check your child's specific percentile.

How to Use This Weight Growth Percentile Calculator

Our weight growth percentile calculator is designed for simplicity and accuracy. Follow these steps to get reliable results for your child:

  1. Select Sex: Choose your child's sex (Male or Female) from the dropdown menu. This is crucial as growth standards differ between sexes.
  2. Enter Age: Input your child's exact age in completed months. For example, if your child is 1 year and 6 months old, enter 18.
  3. Enter Weight: Accurately measure your child's weight in kilograms (kg) using a reliable scale. Ensure the scale is zeroed before use.
  4. Calculate: Click the "Calculate" button. The calculator will process the information using WHO growth standards.

How to Read Results:

  • Main Result (Percentile): The primary number displayed is your child's weight percentile. A percentile of 50 means the child is at the median weight for their age and sex. A higher percentile means a heavier weight relative to peers, and a lower percentile means a lighter weight.
  • Intermediate Values: The displayed age, weight, and sex confirm the inputs used for the calculation.
  • Chart and Table: These visualizations provide context. The chart shows your child's plotted point against standard curves, while the table offers a snapshot of reference weights for various percentiles at different ages.

Decision-Making Guidance: A percentile within the typical range (often considered roughly between the 5th and 95th percentiles) usually indicates healthy growth, provided the child's growth curve is relatively stable over time. Significant drops or jumps in percentile, or consistently very high or very low percentiles, should prompt a consultation with a pediatrician. This calculator is a screening tool; medical advice should always be sought from a qualified healthcare professional.

Key Factors That Affect Weight Growth Percentile Results

Several factors can influence a child's weight growth percentile and its interpretation. Understanding these can provide a more holistic view of your child's development:

  1. Genetics: A child's inherited genetic makeup plays a significant role in their potential growth rate and final adult size. Some children are naturally predisposed to being larger or smaller than average.
  2. Nutrition and Diet: Adequate intake of calories, proteins, fats, vitamins, and minerals is fundamental for healthy weight gain. Poor appetite, picky eating, or restricted diets can impact weight. Conversely, excessive calorie intake can lead to rapid weight gain.
  3. Health Conditions: Underlying medical issues, such as gastrointestinal disorders (affecting nutrient absorption), metabolic conditions, hormonal imbalances, or chronic illnesses, can significantly affect a child's weight.
  4. Physical Activity Levels: A child's energy expenditure through play and exercise influences their weight. Highly active children may burn more calories, potentially affecting their weight compared to less active peers.
  5. Prematurity and Birth Weight: Premature babies or those born with very low birth weights may follow a different growth trajectory initially. Adjusted age is sometimes used for premature infants in the early months.
  6. Sleep Patterns: Sufficient sleep is vital for growth hormone release and overall development. Disruptions in sleep can indirectly impact growth patterns.
  7. Feeding Practices: Breastfeeding or formula feeding in infancy, and the transition to solid foods, are critical periods. Consistent and appropriate feeding support healthy weight gain.
  8. Parental Health and Habits: Maternal health during pregnancy and parental feeding habits and activity levels can also influence a child's growth patterns.

While the calculator provides a specific percentile, these factors help explain why a child might be above or below the median and should be considered alongside the percentile data when assessing overall health. For a complete picture, always discuss these factors with your pediatrician.

Frequently Asked Questions (FAQ)

Q1: What is the ideal weight percentile for a child?

A1: There isn't a single "ideal" percentile. A healthy growth pattern is typically characterized by a stable percentile over time (e.g., consistently around the 25th, 50th, or 75th percentile). Wide fluctuations or consistently very high or low percentiles may warrant medical attention.

Q2: How often should I check my child's weight percentile?

A2: Pediatricians typically monitor growth at regular well-child visits. For parents using a calculator, checking periodically (e.g., every few months during the first year, then every 6-12 months) can be helpful, but always rely on your doctor's assessment.

Q3: Does the calculator account for prematurity?

A3: This calculator uses standard WHO growth charts based on chronological age. For premature infants, especially in the first 1-2 years, it's often recommended to use adjusted age (chronological age minus weeks premature). Consult your pediatrician for guidance on using adjusted age for growth tracking.

Q4: What if my child's weight percentile is very different from their height percentile?

A4: A significant discrepancy between weight and height percentiles (e.g., high weight percentile with low height percentile, or vice versa) can indicate potential issues. This warrants discussion with a healthcare provider to assess body composition and overall growth. Our height percentile calculator can be used for comparison.

Q5: Can this calculator predict future weight or height?

A5: No, this calculator provides a snapshot of the child's current growth percentile. It does not predict future growth outcomes. Longitudinal tracking of growth percentiles over time is more indicative of future patterns.

Q6: Are the WHO growth charts used by this calculator reliable?

A6: Yes, the World Health Organization (WHO) growth standards are globally recognized and based on extensive studies of healthy, breastfed infants and young children. They are considered a reliable benchmark for assessing child growth worldwide.

Q7: What does it mean if my child is consistently below the 3rd percentile?

A7: Consistently falling below the 3rd percentile suggests the child is smaller than most peers of the same age and sex. While some children are naturally small, this level often indicates a need for medical evaluation to rule out growth disorders or other health concerns.

Q8: My child gained weight rapidly and moved from the 50th to the 90th percentile. Should I be worried?

A8: A rapid jump in percentile, especially from the median to a higher range, can indicate excessive weight gain. It's advisable to consult your pediatrician to discuss dietary habits, activity levels, and ensure healthy weight management strategies are in place.

Related Tools and Internal Resources

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// Data based on WHO Growth Standards – approximate values for demonstration // These are simplified data points for interpolation/lookup. Real-world data is more extensive. var whoGrowthData = { male: { ageMonths: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 30, 36, 42, 48, 54, 60], percentiles: { '3': [2.5, 3.2, 4.0, 4.7, 5.3, 5.8, 6.3, 6.7, 7.0, 7.3, 7.5, 7.7, 7.9, 9.5, 11.0, 12.2, 13.2, 14.1, 15.0, 15.7, 16.5], // kg '15': [3.0, 3.9, 4.8, 5.6, 6.3, 6.9, 7.4, 7.9, 8.3, 8.6, 8.9, 9.2, 9.4, 11.2, 12.8, 14.0, 15.0, 15.9, 16.8, 17.5, 18.3], // kg '50': [3.5, 4.5, 5.4, 6.2, 6.9, 7.5, 8.0, 8.4, 8.8, 9.1, 9.4, 9.7, 10.0, 11.8, 13.5, 14.7, 15.8, 16.7, 17.6, 18.3, 19.2], // kg (Median) '85': [4.0, 5.1, 6.1, 7.0, 7.7, 8.3, 8.9, 9.4, 9.8, 10.2, 10.5, 10.8, 11.1, 13.0, 14.8, 16.0, 17.0, 17.9, 18.8, 19.5, 20.4], // kg '97': [4.5, 5.7, 6.8, 7.7, 8.5, 9.2, 9.8, 10.3, 10.8, 11.2, 11.5, 11.8, 12.1, 13.9, 15.5, 16.7, 17.7, 18.6, 19.5, 20.2, 21.1] // kg } }, female: { ageMonths: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 18, 24, 30, 36, 42, 48, 54, 60], percentiles: { '3': [2.3, 3.0, 3.8, 4.5, 5.1, 5.5, 6.0, 6.3, 6.6, 6.9, 7.1, 7.3, 7.5, 9.1, 10.5, 11.6, 12.5, 13.3, 14.1, 14.7, 15.3], // kg '15': [2.8, 3.6, 4.5, 5.2, 5.9, 6.4, 6.9, 7.3, 7.7, 8.0, 8.2, 8.5, 8.7, 10.5, 11.9, 13.0, 13.9, 14.7, 15.5, 16.1, 16.7], // kg '50': [3.3, 4.2, 5.1, 5.9, 6.5, 7.1, 7.6, 8.0, 8.3, 8.6, 8.9, 9.1, 9.4, 11.1, 12.7, 13.8, 14.7, 15.5, 16.3, 16.9, 17.5], // kg (Median) '85': [3.8, 4.8, 5.8, 6.6, 7.3, 7.9, 8.4, 8.8, 9.2, 9.5, 9.8, 10.1, 10.3, 12.2, 13.8, 14.9, 15.8, 16.5, 17.3, 17.9, 18.5], // kg '97': [4.3, 5.4, 6.5, 7.4, 8.1, 8.7, 9.2, 9.7, 10.1, 10.5, 10.8, 11.1, 11.4, 13.1, 14.6, 15.7, 16.5, 17.2, 18.0, 18.5, 19.1] // kg } } }; var chart; // Declare chart globally function validateInput(id, errorId, min, max) { var input = document.getElementById(id); var errorSpan = document.getElementById(errorId); var value = parseFloat(input.value); errorSpan.textContent = "; // Clear previous error if (isNaN(value)) { if (input.value === ") { // Allow empty initially, only show error on calculate or if it persists return true; } else { errorSpan.textContent = 'Please enter a valid number.'; return false; } } if (value max) { errorSpan.textContent = 'Value exceeds typical range.'; return false; } return true; } function calculatePercentile() { var sex = document.getElementById('sex').value; var age = parseFloat(document.getElementById('age').value); var weight = parseFloat(document.getElementById('weight').value); var ageError = document.getElementById('ageError'); var weightError = document.getElementById('weightError'); // Perform validation var isAgeValid = validateInput('age', 'ageError', 0); var isWeightValid = validateInput('weight', 'weightError', 0); if (!isAgeValid || !isWeightValid) { // Display errors if validation fails if (document.getElementById('age').value === ") ageError.textContent = 'Age is required.'; if (document.getElementById('weight').value === ") weightError.textContent = 'Weight is required.'; return; } var data = whoGrowthData[sex]; if (!data) { alert("Invalid sex selected."); return; } var ageData = data.ageMonths; var percentiles = data.percentiles; // Find the closest age index var ageIndex = -1; for (var i = 0; i age) { ageIndex = i – 1; // Use the previous index if exact match not found break; } } // Handle edge case where age is beyond data range if (ageIndex = ageData.length – 1 && age > ageData[ageData.length – 1]) { ageIndex = ageData.length – 1; // Use the last data point if age is too high } var weightAtAgeIndex = percentiles['50'][ageIndex]; // Median weight var percentileValue = 50; // Default to median if interpolation fails or weight matches median exactly if (weight === weightAtAgeIndex) { percentileValue = 50; } else if (weight < weightAtAgeIndex) { // Interpolate between 3rd and 50th percentile var lowerP = 3; var lowerW = percentiles['3'][ageIndex]; var upperP = 50; var upperW = weightAtAgeIndex; if (weight weightAtAgeIndex // Interpolate between 50th and 97th percentile var lowerP = 50; var lowerW = weightAtAgeIndex; var upperP = 97; var upperW = percentiles['97'][ageIndex]; if (weight >= upperW) { percentileValue = upperP; } else { percentileValue = lowerP + ((weight – lowerW) / (upperW – lowerW)) * (upperP – lowerP); } } // Ensure percentile is within 0-100 bounds percentileValue = Math.max(0, Math.min(100, percentileValue)); // Display results document.getElementById('mainResult').textContent = Math.round(percentileValue) + 'th Percentile'; document.getElementById('ageMonths').textContent = 'Age: ' + Math.round(age) + ' months'; document.getElementById('weightKg').textContent = 'Weight: ' + weight.toFixed(1) + ' kg'; document.getElementById('sexResult').textContent = 'Sex: ' + sex.charAt(0).toUpperCase() + sex.slice(1); // Update chart updateChart(sex, age, weight); populateTable(sex); } function populateTable(sex) { var tableBody = document.getElementById('weightTableBody'); tableBody.innerHTML = "; // Clear previous rows var data = whoGrowthData[sex]; var ageData = data.ageMonths; var percentiles = data.percentiles; // Populate with sample data for males (adjust if sex is female) var tableCaption = document.querySelector('#weightTableBody').closest('table').querySelector('caption'); if (sex === 'male') { tableCaption.textContent = 'Weight-for-Age Percentiles (kg) – Males'; } else { tableCaption.textContent = 'Weight-for-Age Percentiles (kg) – Females'; } for (var i = 0; i < ageData.length; i++) { var row = tableBody.insertRow(); var cellAge = row.insertCell(0); cellAge.textContent = ageData[i]; var cell3 = row.insertCell(1); cell3.textContent = percentiles['3'][i].toFixed(1); var cell15 = row.insertCell(2); cell15.textContent = percentiles['15'][i].toFixed(1); var cell50 = row.insertCell(3); cell50.textContent = percentiles['50'][i].toFixed(1); var cell85 = row.insertCell(4); cell85.textContent = percentiles['85'][i].toFixed(1); var cell97 = row.insertCell(5); cell97.textContent = percentiles['97'][i].toFixed(1); } } function updateChart(sex, currentAge, currentWeight) { var data = whoGrowthData[sex]; var ageData = data.ageMonths; var percentiles = data.percentiles; var ctx = document.getElementById('growthChart').getContext('2d'); // Destroy previous chart instance if it exists if (chart) { chart.destroy(); } // Find indices for the current age or nearest var chartAgeData = []; var medianWeights = []; var currentWeightData = []; for (var i = 0; i < ageData.length; i++) { chartAgeData.push(ageData[i]); medianWeights.push(percentiles['50'][i]); if (ageData[i] === currentAge) { currentWeightData.push(currentWeight); } else { currentWeightData.push(null); // null to create gaps in the line chart } } chart = new Chart(ctx, { type: 'line', data: { labels: chartAgeData, datasets: [{ label: 'Child\'s Weight', data: currentWeightData, borderColor: 'rgba(75, 192, 192, 1)', backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0.1, pointRadius: 4, // Show points for the child's data pointHoverRadius: 6 }, { label: '50th Percentile (Median)', data: medianWeights, borderColor: 'rgba(255, 193, 7, 1)', backgroundColor: 'rgba(255, 193, 7, 0.2)', fill: false, tension: 0.1, pointRadius: 0 // Don't show points for the median line }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true, suggestedMax: Math.max(…medianWeights) * 1.2 // Adjust max y-axis dynamically } }, plugins: { legend: { display: false // Legend handled by custom div }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(1) + ' kg'; } return label; } } } } } }); } // Function to copy results function copyResults() { var mainResult = document.getElementById('mainResult').textContent; var ageResult = document.getElementById('ageMonths').textContent; var weightResult = document.getElementById('weightKg').textContent; var sexResult = document.getElementById('sexResult').textContent; var resultsText = "Weight Growth Percentile Calculation:\n\n"; resultsText += "Result: " + mainResult + "\n"; resultsText += ageResult + "\n"; resultsText += weightResult + "\n"; resultsText += sexResult + "\n\n"; resultsText += "Key Assumptions:\n"; resultsText += "- Based on WHO growth standards.\n"; resultsText += "- Calculated using the inputs provided.\n"; // Create a temporary textarea element to copy text var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-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) { alert('Oops, unable to copy. Please copy manually.'); } document.body.removeChild(textArea); } function resetCalculator() { document.getElementById('sex').value = 'male'; document.getElementById('age').value = ''; document.getElementById('weight').value = ''; document.getElementById('mainResult').textContent = '–'; document.getElementById('ageMonths').textContent = 'Age: — months'; document.getElementById('weightKg').textContent = 'Weight: — kg'; document.getElementById('sexResult').textContent = 'Sex: –'; // Clear errors document.getElementById('ageError').textContent = ''; document.getElementById('weightError').textContent = ''; // Clear chart and table if (chart) { chart.destroy(); chart = null; // Reset chart variable } document.getElementById('weightTableBody').innerHTML = ''; } // Initialize calculator on page load window.onload = function() { // Populate table on load for default sex (male) populateTable('male'); // Optionally, trigger initial calculation if defaults are set // calculatePercentile(); };

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