Calculation on Child Weight Based on Age

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Child Weight by Age Calculator

Easily calculate and understand your child's typical weight range based on their age using our accurate and user-friendly Child Weight by Age Calculator. Explore growth trends with visual charts and expert insights.

Child Weight Calculator

Enter the child's age in full months (e.g., 12 for 1 year old).
Male Female Select the child's gender to apply appropriate growth percentiles.

Your Child's Estimated Weight

This calculator uses WHO (World Health Organization) growth standards for a general estimate. Actual growth can vary significantly. Consult a pediatrician for personalized advice.
Approximate Weight Ranges by Age (WHO Standards)
Age (Months) Avg. Weight (kg) – Male Avg. Weight (kg) – Female 10th Percentile (kg) 90th Percentile (kg)

Understanding Child Weight by Age

What is Child Weight by Age?

Child weight by age refers to the typical weight range a child should fall into based on their chronological age and gender. It's a crucial indicator of a child's overall health and development, allowing parents and healthcare providers to monitor growth patterns and identify potential issues early on. This metric is commonly assessed using growth charts that compare a child's measurements against established reference standards, such as those provided by the World Health Organization (WHO) or the Centers for Disease Control and Prevention (CDC). Understanding where a child falls on these charts is vital for ensuring they are growing appropriately and receiving adequate nutrition and care. It's important to remember that these are general guidelines, and individual variations are normal. The {primary_keyword} calculator is designed to provide a quick estimate based on widely accepted data.

Who should use it? Parents, guardians, childcare providers, and healthcare professionals can use this {primary_keyword} calculator. It's particularly useful for parents concerned about their child's growth trajectory, those seeking to understand typical weight expectations, or when preparing for a pediatrician's visit. It serves as an educational tool to demystify child growth standards.

Common misconceptions about child weight include the idea that there's a single "ideal" weight for a given age. In reality, a healthy weight exists within a range, and growth patterns over time are more telling than a single measurement. Another misconception is that all babies and children grow at the exact same pace, which is rarely the case. Individual genetics, activity levels, and nutritional intake play significant roles. This {primary_keyword} tool helps illustrate this variability.

Child Weight by Age Formula and Mathematical Explanation

The calculation of child weight based on age isn't a single, simple formula like a loan amortization. Instead, it relies on statistical data derived from large populations and presented through growth charts and percentile curves. Our calculator approximates this by referencing WHO growth standards. The core idea is to determine the *percentile* a child falls into, which represents the percentage of children of the same age and sex whose weight is *less than or equal to* that child's weight.

For our calculator, we're simplifying this by providing:

  1. Average Weight (Mean): This is the statistical average weight for a given age and gender.
  2. Lower Bound (e.g., 10th Percentile): A weight below which only 10% of children of that age and gender fall.
  3. Upper Bound (e.g., 90th Percentile): A weight above which only 10% of children of that age and gender fall (meaning 90% fall below it).

The underlying data used to generate these averages and percentiles is complex, often involving statistical modeling based on datasets like the WHO's Multicentre Growth Reference Study (MGRS). For practical purposes, and to power this {primary_keyword} calculator, we use pre-calculated values from these standards, interpolating where necessary for specific month ages. For instance, a common approximation involves fitting curves to the percentile data points, allowing us to estimate values between measured age points.

Variables Explained:

Variable Meaning Unit Typical Range (Example)
Age Chronological age of the child Months 0 – 60 (for WHO standards often used)
Gender Biological sex of the child Categorical (Male/Female) Male, Female
Weight Measured weight of the child Kilograms (kg) 0.5 kg – 25 kg (approx. for ages 0-5 yrs)
Percentile Statistical rank indicating the proportion of children with lower weight % 0-100

Practical Examples (Real-World Use Cases)

Here are two examples demonstrating how the {primary_keyword} calculator can be used:

Example 1: Monitoring a 10-Month-Old Baby

Scenario: Sarah is concerned because her 10-month-old son, Leo, seems smaller than other babies his age. She wants to get an idea of his typical weight range.

Inputs:

  • Age: 10 Months
  • Gender: Male

Calculator Output:

  • Primary Result: Approximately 9.5 kg
  • Average Weight: ~9.7 kg
  • Lower Percentile (10th): ~8.1 kg
  • Upper Percentile (90th): ~11.8 kg

Interpretation: Leo's estimated weight of 9.5 kg falls within the 10th to 90th percentile range (8.1 kg – 11.8 kg). While slightly below the average of 9.7 kg, it's well within the normal growth spectrum for a 10-month-old boy. Sarah can feel reassured that his growth appears typical, though she might still want to discuss any specific concerns with her pediatrician, especially regarding his exact percentile position and trend over time.

Example 2: Checking a 2-Year-Old Toddler's Growth

Scenario: David's daughter, Maya, is celebrating her second birthday. He wants to see how her weight compares to the standard for girls her age.

Inputs:

  • Age: 24 Months (2 years * 12 months/year)
  • Gender: Female

Calculator Output:

  • Primary Result: Approximately 12.5 kg
  • Average Weight: ~12.2 kg
  • Lower Percentile (10th): ~10.0 kg
  • Upper Percentile (90th): ~14.9 kg

Interpretation: Maya's weight of 12.5 kg is slightly above the average for a 24-month-old girl (12.2 kg) but comfortably within the typical range of 10.0 kg to 14.9 kg. This indicates healthy growth. Parents can use this information to track milestones and discuss any perceived deviations from the norm with healthcare professionals. Consistent monitoring is key, not just single data points. Using a child growth chart provides a visual representation of this progress.

How to Use This Child Weight by Age Calculator

Using our {primary_keyword} calculator is straightforward and designed for quick, informative estimates. Follow these steps:

  1. Input Child's Age: Enter the child's age precisely in months into the "Child's Age (in Months)" field. For example, a 6-month-old is entered as '6', and a 2-year-old is entered as '24'.
  2. Select Gender: Choose the child's gender (Male or Female) from the dropdown menu. This is important as growth standards differ between sexes.
  3. Calculate: Click the "Calculate Weight" button.
  4. View Results: The calculator will display:
    • Primary Result: An estimated weight for the child's age and gender.
    • Average Weight: The statistical mean weight for that demographic.
    • Lower Percentile (10th): A reference point representing the lower end of typical growth.
    • Upper Percentile (90th): A reference point representing the higher end of typical growth.
  5. Interpret: Compare the primary result and percentile ranges. A result falling within the 10th-90th percentile is generally considered within the normal range. The chart and table provide further context.
  6. Reset: If you need to perform a new calculation, click "Reset" to clear the fields and set them to default values.
  7. Copy: Use the "Copy Results" button to copy the calculated values to your clipboard for easy sharing or record-keeping.

Decision-Making Guidance: This calculator provides estimates based on population data. It is NOT a substitute for professional medical advice. If you have concerns about your child's growth, weight gain, or overall health, always consult a pediatrician or healthcare provider. They can assess your child's individual growth curve, consider factors like height and head circumference, and provide personalized guidance.

Key Factors That Affect Child Weight Results

While our {primary_keyword} calculator provides a standardized estimate, several real-world factors influence a child's actual weight, causing variations from the calculated averages and percentiles:

  1. Genetics: Just like adults, children inherit predispositions for body frame size and metabolism. Some children are naturally leaner, while others are sturdier, even within the same age group.
  2. Nutrition and Feeding Habits: The quality and quantity of food a child consumes directly impact weight. Breastfeeding patterns, introduction of solids, dietary preferences, and potential allergies or intolerances all play a role.
  3. Physical Activity Levels: Active children tend to burn more calories, which can influence their weight. Toddlers and older children with high energy levels might have different weight compositions than less active peers.
  4. Health Status and Medical Conditions: Underlying health issues, such as chronic illnesses, digestive problems, hormonal imbalances, or even temporary illnesses affecting appetite, can significantly affect a child's weight.
  5. Birth Weight and Gestational Age: Premature babies or those born with very low birth weights may follow a different growth trajectory initially compared to full-term infants. Their catch-up growth needs careful monitoring.
  6. Height and Body Proportions: Weight is only one aspect of growth. A taller child will naturally weigh more than a shorter child of the same age. The weight-for-height ratio (or BMI-for-age) is often a more comprehensive indicator of healthy weight status.
  7. Sleep Patterns: Emerging research suggests that adequate sleep is crucial for healthy growth and metabolism, potentially influencing weight regulation in children.

Frequently Asked Questions (FAQ)

Q1: Is a single weight measurement enough to assess my child's health?

A1: No. A single measurement provides only a snapshot. Pediatricians monitor growth over time using growth charts, looking at the *trend* or *curve* of weight, height, and head circumference. Consistent tracking is more informative than isolated data points. Our {primary_keyword} calculator offers a single estimate, but continuous monitoring is key.

Q2: My child is below the 10th percentile. Should I be worried?

A2: Not necessarily. Being below the 10th percentile simply means your child weighs less than 90% of children their age and gender. If they have consistently followed this percentile line and appear healthy and active, their growth may be perfectly normal for them. However, any sudden drop in percentiles or significant deviation from their established growth curve warrants a discussion with a pediatrician.

Q3: My child is above the 90th percentile. Is this concerning?

A3: Similar to the 10th percentile, being above the 90th percentile indicates a higher weight relative to peers. If the child is otherwise healthy, active, and meets developmental milestones, it might just reflect their natural build. However, a sustained position above the 90th percentile, or a rapid rise in percentiles, might suggest overweight or obesity and should be discussed with a healthcare provider to ensure optimal health.

Q4: How accurate is this calculator?

A4: This calculator provides an estimate based on WHO growth standards, which are widely recognized benchmarks. However, it uses simplified models and pre-calculated points. Actual growth can vary due to individual factors. It's a useful tool for general understanding but not a substitute for clinical assessment.

Q5: What is the difference between WHO and CDC growth charts?

A5: The WHO growth charts are generally used for infants and children from birth up to age 2, based on international data representing optimal growth. The CDC growth charts are often used for children aged 2 and older in the US, based on US data and reflecting typical growth in that population. For younger children, the WHO standards are commonly used globally, including in our {primary_keyword} calculator.

Q6: Does my child's height affect the "ideal" weight?

A6: Yes, height is a critical factor. A taller child naturally weighs more. Growth charts typically assess weight-for-age, height-for-age, and weight-for-height (or BMI-for-age). Our calculator focuses on weight-for-age for simplicity, but a healthcare provider will look at all these metrics together.

Q7: When should I seek professional help regarding my child's weight?

A7: Consult a pediatrician if you notice rapid weight gain or loss, if your child consistently falls outside the major percentile bands (e.g., below 3rd or above 97th), if they are experiencing developmental delays related to growth, or if you have any persistent concerns about their eating habits or overall well-being.

Q8: Can this calculator predict future weight?

A8: No. This calculator estimates current typical weight ranges based on age and gender. It cannot predict future growth patterns, which are influenced by numerous evolving factors like diet, activity, and health.

Disclaimer: This calculator is for informational purposes only and does not constitute medical advice. Always consult with a qualified healthcare provider for any health concerns or before making any decisions related to your child's health and care.

var chartInstance = null; // Global variable to hold chart instance function calculateWeight() { var ageMonthsInput = document.getElementById("childAgeMonths"); var genderSelect = document.getElementById("childGender"); var resultsContainer = document.getElementById("resultsContainer"); var primaryResultDiv = document.getElementById("primaryResult"); var avgWeightDiv = document.getElementById("avgWeight"); var lowerPercentileDiv = document.getElementById("lowerPercentile"); var upperPercentileDiv = document.getElementById("upperPercentile"); var ageMonthsError = document.getElementById("childAgeMonthsError"); // Clear previous errors ageMonthsError.textContent = "; // Get values and validate var ageMonths = parseInt(ageMonthsInput.value); var gender = genderSelect.value; if (isNaN(ageMonths) || ageMonths < 0) { ageMonthsError.textContent = 'Please enter a valid age in months (0 or greater).'; resultsContainer.style.display = 'none'; return; } // WHO Growth Standards Data (Approximate values for demonstration) // Data for Male (Age in Months: [Avg Weight (kg), 10th Percentile (kg), 90th Percentile (kg)]) var maleData = { 0: [3.9, 2.6, 5.2], 1: [5.1, 3.7, 6.5], 2: [6.2, 4.6, 7.7], 3: [7.0, 5.3, 8.6], 4: [7.6, 5.9, 9.3], 5: [8.1, 6.4, 9.9], 6: [8.5, 6.8, 10.3], 7: [8.9, 7.1, 10.7], 8: [9.2, 7.4, 11.1], 9: [9.5, 7.6, 11.4], 10: [9.7, 7.8, 11.7], 11: [9.9, 8.0, 12.0], 12: [10.1, 8.2, 12.2], 13: [10.3, 8.3, 12.5], 14: [10.5, 8.5, 12.7], 15: [10.7, 8.6, 12.9], 16: [10.8, 8.7, 13.1], 17: [11.0, 8.8, 13.3], 18: [11.2, 8.9, 13.5], 19: [11.3, 9.0, 13.7], 20: [11.5, 9.1, 13.9], 21: [11.6, 9.2, 14.1], 22: [11.8, 9.3, 14.3], 23: [11.9, 9.4, 14.4], 24: [12.0, 9.5, 14.6], 30: [13.1, 10.1, 16.1], 36: [14.0, 10.7, 17.4], 48: [15.6, 11.7, 19.5], 60: [17.0, 12.6, 21.3] }; // Data for Female (Age in Months: [Avg Weight (kg), 10th Percentile (kg), 90th Percentile (kg)]) var femaleData = { 0: [3.7, 2.5, 4.9], 1: [4.8, 3.5, 6.2], 2: [5.8, 4.3, 7.3], 3: [6.5, 4.9, 8.2], 4: [7.1, 5.4, 8.9], 5: [7.5, 5.8, 9.5], 6: [7.9, 6.1, 10.0], 7: [8.2, 6.4, 10.4], 8: [8.5, 6.6, 10.8], 9: [8.7, 6.8, 11.1], 10: [8.9, 7.0, 11.3], 11: [9.1, 7.1, 11.6], 12: [9.3, 7.3, 11.8], 13: [9.4, 7.4, 12.0], 14: [9.6, 7.5, 12.2], 15: [9.7, 7.6, 12.4], 16: [9.9, 7.7, 12.6], 17: [10.0, 7.8, 12.8], 18: [10.1, 7.9, 13.0], 19: [10.3, 8.0, 13.1], 20: [10.4, 8.1, 13.3], 21: [10.5, 8.2, 13.5], 22: [10.6, 8.3, 13.6], 23: [10.7, 8.3, 13.8], 24: [10.9, 8.4, 14.0], 30: [11.8, 8.9, 15.4], 36: [12.6, 9.4, 16.6], 48: [14.0, 10.2, 18.8], 60: [15.3, 10.9, 20.8] }; var dataSet = (gender === 'male') ? maleData : femaleData; var avgWeight, lowerPercentile, upperPercentile; // Function to interpolate or get exact value function getWeightData(age, data) { var ages = Object.keys(data).map(Number).sort(function(a, b) { return a – b; }); if (age = ages[ages.length – 1]) { return data[ages[ages.length – 1]]; } // Find the two closest age points for interpolation var lowerAge = ages.filter(function(a) { return a = age; }).shift(); if (lowerAge === upperAge) { return data[lowerAge]; } var lowerValues = data[lowerAge]; var upperValues = data[upperAge]; var factor = (age – lowerAge) / (upperAge – lowerAge); var interpolatedAvg = lowerValues[0] + factor * (upperValues[0] – lowerValues[0]); var interpolatedLower = lowerValues[1] + factor * (upperValues[1] – lowerValues[1]); var interpolatedUpper = lowerValues[2] + factor * (upperValues[2] – lowerValues[2]); return [interpolatedAvg, interpolatedLower, interpolatedUpper]; } var weights = getWeightData(ageMonths, dataSet); avgWeight = weights[0]; lowerPercentile = weights[1]; upperPercentile = weights[2]; // Display results primaryResultDiv.textContent = avgWeight.toFixed(2) + ' kg'; avgWeightDiv.textContent = 'Avg: ' + avgWeight.toFixed(2) + ' kg'; lowerPercentileDiv.textContent = '10th %ile: ' + lowerPercentile.toFixed(2) + ' kg'; upperPercentileDiv.textContent = '90th %ile: ' + upperPercentile.toFixed(2) + ' kg'; resultsContainer.style.display = 'block'; updateChart(ageMonths, gender); // Update chart with new calculation context } function resetCalculator() { document.getElementById("childAgeMonths").value = 12; document.getElementById("childGender").value = "male"; document.getElementById("resultsContainer").style.display = 'none'; document.getElementById("childAgeMonthsError").textContent = "; // Optionally reset chart to default view or clear it if (chartInstance) { chartInstance.destroy(); chartInstance = null; } initializeChart(); // Re-initialize with default view } function copyResults() { var primaryResult = document.getElementById("primaryResult").textContent; var avgWeight = document.getElementById("avgWeight").textContent; var lowerPercentile = document.getElementById("lowerPercentile").textContent; var upperPercentile = document.getElementById("upperPercentile").textContent; var ageMonths = document.getElementById("childAgeMonths").value; var gender = document.getElementById("childGender").value; var copyText = "Child Weight Estimate:\n" + "Age: " + ageMonths + " months\n" + "Gender: " + gender.charAt(0).toUpperCase() + gender.slice(1) + "\n" + "————————–\n" + "Estimated Weight: " + primaryResult + "\n" + avgWeight + "\n" + lowerPercentile + "\n" + upperPercentile + "\n" + "\nSource: WHO Growth Standards (Approximate)"; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = copyText; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied!' : 'Copy failed'; // Provide user feedback (optional, e.g., a temporary message) console.log(msg); alert(msg); // Simple alert for feedback } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Copying text area content is not supported. Please copy manually.'); } document.body.removeChild(textArea); } // Charting Logic var chartCanvas = document.getElementById('weightChart').getContext('2d'); var chartData = { labels: [], // Ages datasets: [ { label: 'Average Weight (kg)', data: [], borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, tension: 0.1 }, { label: '10th Percentile (kg)', data: [], borderColor: 'rgba(40, 167, 69, 0.6)', backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: false, tension: 0.1 }, { label: '90th Percentile (kg)', data: [], borderColor: 'rgba(220, 53, 69, 0.6)', backgroundColor: 'rgba(220, 53, 69, 0.1)', fill: '-0', // Fill between this dataset and the one before it tension: 0.1 } ] }; // Populate static data for the chart table and initial chart view function populateChartData() { var maleData = { 0: [3.9, 2.6, 5.2], 1: [5.1, 3.7, 6.5], 2: [6.2, 4.6, 7.7], 3: [7.0, 5.3, 8.6], 4: [7.6, 5.9, 9.3], 5: [8.1, 6.4, 9.9], 6: [8.5, 6.8, 10.3], 7: [8.9, 7.1, 10.7], 8: [9.2, 7.4, 11.1], 9: [9.5, 7.6, 11.4], 10: [9.7, 7.8, 11.7], 11: [9.9, 8.0, 12.0], 12: [10.1, 8.2, 12.2], 13: [10.3, 8.3, 12.5], 14: [10.5, 8.5, 12.7], 15: [10.7, 8.6, 12.9], 16: [10.8, 8.7, 13.1], 17: [11.0, 8.8, 13.3], 18: [11.2, 8.9, 13.5], 19: [11.3, 9.0, 13.7], 20: [11.5, 9.1, 13.9], 21: [11.6, 9.2, 14.1], 22: [11.8, 9.3, 14.3], 23: [11.9, 9.4, 14.4], 24: [12.0, 9.5, 14.6], 30: [13.1, 10.1, 16.1], 36: [14.0, 10.7, 17.4], 48: [15.6, 11.7, 19.5], 60: [17.0, 12.6, 21.3] }; var femaleData = { 0: [3.7, 2.5, 4.9], 1: [4.8, 3.5, 6.2], 2: [5.8, 4.3, 7.3], 3: [6.5, 4.9, 8.2], 4: [7.1, 5.4, 8.9], 5: [7.5, 5.8, 9.5], 6: [7.9, 6.1, 10.0], 7: [8.2, 6.4, 10.4], 8: [8.5, 6.6, 10.8], 9: [8.7, 6.8, 11.1], 10: [8.9, 7.0, 11.3], 11: [9.1, 7.1, 11.6], 12: [9.3, 7.3, 11.8], 13: [9.4, 7.4, 12.0], 14: [9.6, 7.5, 12.2], 15: [9.7, 7.6, 12.4], 16: [9.9, 7.7, 12.6], 17: [10.0, 7.8, 12.8], 18: [10.1, 7.9, 13.0], 19: [10.3, 8.0, 13.1], 20: [10.4, 8.1, 13.3], 21: [10.5, 8.2, 13.5], 22: [10.6, 8.3, 13.6], 23: [10.7, 8.3, 13.8], 24: [10.9, 8.4, 14.0], 30: [11.8, 8.9, 15.4], 36: [12.6, 9.4, 16.6], 48: [14.0, 10.2, 18.8], 60: [15.3, 10.9, 20.8] }; var ages = Object.keys(maleData).map(Number).sort(function(a, b) { return a – b; }); var tableBody = document.getElementById('chartTableBody'); tableBody.innerHTML = "; // Clear existing rows // Generate data points for the chart, maybe up to 60 months var chartAges = []; var maleAvgData = []; var male10thData = []; var male90thData = []; var femaleAvgData = []; var female10thData = []; var female90thData = []; for (var i = 0; i 5) { // If female datasets exist chartData.datasets[5].fill = '-4'; // Fill between 90th female (index 5) and 10th female (index 4) } } function initializeChart() { if (chartInstance) { chartInstance.destroy(); // Destroy previous instance if exists } populateChartData(); // Ensure data is populated chartInstance = new Chart(chartCanvas, { type: 'line', data: chartData, options: { responsive: true, maintainAspectRatio: false, plugins: { legend: { position: 'top', }, title: { display: true, text: 'WHO Growth Standards: Weight-for-Age', font: { size: 16 } }, tooltip: { mode: 'index', intersect: false, } }, interaction: { mode: 'nearest', axis: 'x', intersect: false }, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true // Start y-axis at 0 } }, hover: { mode: 'nearest', intersect: true } } }); updateChartVisibility(); // Set initial visibility based on default gender } // Function to update which datasets are visible based on selected gender function updateChartVisibility() { var gender = document.getElementById("childGender").value; // Male datasets are at indices 0, 1, 2 // Female datasets are at indices 3, 4, 5 (Avg, 10th, 90th) // Hide all gender-specific datasets first for (var i = 0; i < chartData.datasets.length; i++) { chartInstance.data.datasets[i].hidden = true; } if (gender === 'male') { chartInstance.data.datasets[0].hidden = false; // Male Avg chartInstance.data.datasets[1].hidden = false; // Male 10th chartInstance.data.datasets[2].hidden = false; // Male 90th chartInstance.data.datasets[2].fill = '-1'; // Fill between male avg and 10th } else { // female chartInstance.data.datasets[3].hidden = false; // Female Avg chartInstance.data.datasets[4].hidden = false; // Female 10th chartInstance.data.datasets[5].hidden = false; // Female 90th chartInstance.data.datasets[5].fill = '-4'; // Fill between female avg and 10th } chartInstance.update(); } // Function to update chart with selected gender and potentially highlight current input age function updateChart(currentAge, currentGender) { if (!chartInstance) { initializeChart(); } updateChartVisibility(); // Update visibility based on current gender selection // Optional: Add a marker for the currently calculated age // This requires more complex chart configuration to add a point or vertical line // For simplicity, we'll rely on the user seeing their input age on the x-axis } // Initial setup when the page loads window.onload = function() { initializeChart(); // Trigger an initial calculation for default values if desired calculateWeight(); }; // Add event listener for gender change to update chart visibility document.getElementById("childGender").addEventListener("change", function() { updateChartVisibility(); }); // Ensure calculate runs on input change for real-time feel document.getElementById("childAgeMonths").addEventListener("input", calculateWeight); document.getElementById("childGender").addEventListener("change", calculateWeight); // Recalculate when gender changes

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