Child Percentile Weight Calculator

Child Percentile Weight Calculator – Understanding Growth :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 4px rgba(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; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } h1, h2, h3 { color: var(–primary-color); text-align: center; margin-bottom: 20px; } h1 { font-size: 2.5em; } h2 { font-size: 2em; border-bottom: 2px solid var(–primary-color); padding-bottom: 10px; margin-top: 40px; } h3 { font-size: 1.5em; margin-top: 30px; } .calculator-wrapper { background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); margin-bottom: 40px; } .input-group { margin-bottom: 25px; position: relative; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: var(–primary-color); } .input-group input[type="number"], .input-group select { width: calc(100% – 20px); padding: 12px 10px; border: 1px solid var(–border-color); border-radius: 5px; font-size: 1em; box-sizing: border-box; } .input-group select { cursor: pointer; } .input-group .helper-text { font-size: 0.85em; color: #6c757d; margin-top: 5px; display: block; } .input-group .error-message { color: red; font-size: 0.85em; margin-top: 5px; min-height: 1.2em; /* Reserve space */ } button { background-color: var(–primary-color); color: white; padding: 12px 25px; border: none; border-radius: 5px; cursor: pointer; font-size: 1em; margin-right: 10px; transition: background-color 0.3s ease; } button:hover { background-color: #003366; } button.secondary { background-color: #6c757d; } button.secondary:hover { background-color: #5a6268; } #results-section { margin-top: 30px; padding: 25px; background-color: var(–primary-color); color: white; border-radius: 8px; text-align: center; box-shadow: var(–shadow); } #results-section h3 { color: white; margin-bottom: 15px; } #primary-result { font-size: 2.5em; font-weight: bold; margin-bottom: 15px; display: inline-block; padding: 10px 20px; background-color: var(–success-color); border-radius: 5px; } .intermediate-results { display: flex; justify-content: space-around; flex-wrap: wrap; margin-bottom: 20px; } .intermediate-result-item { margin: 10px; text-align: center; } .intermediate-result-item span { display: block; font-weight: bold; font-size: 1.3em; } .intermediate-result-item p { margin: 5px 0 0; font-size: 0.9em; opacity: 0.9; } .formula-explanation { font-size: 0.9em; font-style: italic; color: rgba(255, 255, 255, 0.8); margin-top: 15px; } .chart-container { background-color: var(–card-background); padding: 25px; border-radius: 8px; box-shadow: var(–shadow); margin-top: 40px; text-align: center; } canvas { max-width: 100%; height: auto !important; /* Ensure canvas scales properly */ } .chart-caption { font-size: 0.9em; color: #6c757d; margin-top: 10px; display: block; } table { width: 100%; border-collapse: collapse; margin-top: 30px; } th, td { padding: 12px; text-align: left; border-bottom: 1px solid var(–border-color); } th { background-color: var(–primary-color); color: white; font-weight: bold; } tbody tr:nth-child(even) { background-color: #f2f2f2; } .article-content { background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); margin-top: 40px; } .article-content h2 { text-align: left; margin-top: 40px; } .article-content p, .article-content ul, .article-content ol { margin-bottom: 20px; } .article-content ul, .article-content ol { padding-left: 25px; } .article-content li { margin-bottom: 10px; } .faq-item { margin-bottom: 15px; } .faq-item strong { color: var(–primary-color); display: block; margin-bottom: 5px; } .related-links { list-style: none; padding: 0; } .related-links li { margin-bottom: 15px; } .related-links a { color: var(–primary-color); text-decoration: none; font-weight: bold; } .related-links a:hover { text-decoration: underline; } .related-links span { font-size: 0.9em; color: #6c757d; display: block; margin-top: 3px; } /* Specific styling for inputs */ input[type="number"]::-webkit-outer-spin-button, input[type="number"]::-webkit-inner-spin-button { -webkit-appearance: none; margin: 0; } input[type="number"] { -moz-appearance: textfield; }

Child Percentile Weight Calculator

Understand your child's growth trajectory by comparing their weight to national standards.

Child Weight Percentile Calculator

Enter the child's age in whole months.
Enter the child's current weight in kilograms.
Boy Girl Select the child's sex.

Your Child's Weight Percentile

Weight-for-Age Percentile

BMI-for-Age Percentile

Z-Score

The percentile is determined by comparing the child's weight-for-age and BMI-for-age against reference data from the WHO or CDC, indicating how they measure up against children of the same age and sex. A Z-score is also calculated to show how many standard deviations the child's measurement is from the median.

Growth Chart Overview

Comparison of Child's Weight and BMI Percentiles by Age

What is a Child Percentile Weight Calculator?

A Child Percentile Weight Calculator is a tool designed to assess a child's growth by comparing their weight (and often BMI) against established reference data for children of the same age and sex. It doesn't measure absolute health but rather indicates where a child falls within the distribution of healthy growth patterns. For instance, if a child is at the 75th percentile for weight, it means they weigh more than 75% of children of the same age and sex, and less than 25%. This child percentile weight calculator helps parents and healthcare providers monitor growth trends over time, ensuring a child is growing appropriately. It's crucial to understand that percentiles are just one piece of the growth assessment puzzle. Common misconceptions include believing a specific percentile is universally "good" or "bad" without considering the child's individual history, genetics, and overall health.

Child Percentile Weight Calculator Formula and Mathematical Explanation

Calculating exact percentiles requires complex statistical models and reference data, typically provided by organizations like the World Health Organization (WHO) for children aged 0-5 years and the Centers for Disease Control and Prevention (CDC) for ages 2-20. These organizations provide growth charts that are based on extensive data collection. The core idea involves mapping a child's measurements (age, weight, height) onto these reference charts.

For weight-for-age, the process involves:

  1. Identifying the child's age and sex.
  2. Looking up the corresponding reference data (median weight, standard deviations) for that age and sex.
  3. Determining where the child's actual weight falls within this reference distribution.

For BMI-for-age, the process is similar but uses BMI (calculated as weight in kg divided by height in meters squared) plotted against age and sex.

Variables and Data

The exact calculations are complex and proprietary to the reference data sets. However, the key inputs and outputs for this child percentile weight calculator are:

Variable Meaning Unit Typical Range
Age Child's age Months 0-240 (0-20 years)
Weight Child's current weight Kilograms (kg) 0.5 – 100+ kg
Sex Child's biological sex Categorical Male / Female
Weight-for-Age Percentile Where child's weight falls compared to peers Percentile (0-100) 0-100
BMI-for-Age Percentile Where child's BMI falls compared to peers Percentile (0-100) 0-100
Z-Score Number of standard deviations from the median Score Typically -3 to +3 (can extend beyond)

Practical Examples (Real-World Use Cases)

Example 1: Monitoring a Toddler's Growth

Scenario: Sarah, a 20-month-old girl, weighs 11.0 kg. Her parents are concerned she might not be eating enough, as she seems small for her age.

Inputs:

  • Age: 20 months
  • Weight: 11.0 kg
  • Sex: Girl

Using the child percentile weight calculator:

  • Weight-for-Age Percentile: Approximately 40th percentile
  • BMI-for-Age Percentile: Approximately 55th percentile
  • Z-Score: Approximately -0.25

Interpretation: Sarah's weight is at the 40th percentile, meaning she weighs more than 40% of girls her age. Her BMI is at the 55th percentile. These results indicate that Sarah is growing well within the typical range for her age and sex. While she may appear smaller than some peers, her growth trajectory is healthy. The calculator provides reassurance that her current growth is not a cause for concern based on these metrics.

Example 2: Tracking an Infant's Weight Gain

Scenario: David is a 9-month-old boy who was born a bit premature. His parents want to ensure he's catching up adequately in terms of weight.

Inputs:

  • Age: 9 months
  • Weight: 8.5 kg
  • Sex: Boy

Using the child percentile weight calculator:

  • Weight-for-Age Percentile: Approximately 15th percentile
  • BMI-for-Age Percentile: Approximately 25th percentile
  • Z-Score: Approximately -1.0

Interpretation: David's weight is at the 15th percentile for boys his age. This suggests he is lighter than about 85% of boys his age. His BMI is also on the lower side of the average range. While this percentile might seem low, it's important to consider his history (premature birth) and his growth pattern. If David has been consistently following a similar percentile curve (e.g., always around the 15th percentile) and is meeting developmental milestones, this might be his natural growth curve. However, if his weight gain has slowed significantly or dropped percentile ranks, it warrants a discussion with a pediatrician to rule out underlying issues and ensure adequate caloric intake for healthy development.

How to Use This Child Percentile Weight Calculator

Using our child percentile weight calculator is straightforward. Follow these simple steps:

  1. Enter Child's Age: Input the child's age in months. Be precise, as age is a critical factor in growth assessment.
  2. Enter Child's Weight: Input the child's current weight in kilograms (kg). Ensure you use the correct unit.
  3. Select Child's Sex: Choose either "Boy" or "Girl" from the dropdown menu. Growth patterns can differ between sexes.
  4. Calculate: Click the "Calculate Percentile" button.

Reading the Results:

  • Primary Result (Weight-for-Age Percentile): This is the main output, showing where your child's weight falls compared to other children of the same age and sex. A higher percentile means the child weighs more relative to their peers.
  • BMI-for-Age Percentile: This provides insight into the child's Body Mass Index relative to their peers, considering both weight and height (though height isn't an input here, BMI percentile often correlates with weight percentile for a given age).
  • Z-Score: This is a statistical measure indicating how many standard deviations away from the median (average) the child's measurement is. A Z-score of 0 is the median, +1 is one standard deviation above, and -1 is one standard deviation below.

Decision-Making Guidance:

The results from this child percentile weight calculator should be interpreted in consultation with a healthcare professional. Percentiles indicate relative position, not absolute health. A child consistently growing along their own percentile curve is generally considered healthy, even if that curve is high or low. Significant drops or jumps in percentiles, or measurements far outside the typical range (e.g., below 3rd or above 97th percentile), may require further investigation by a pediatrician to assess nutritional status, underlying medical conditions, or other factors affecting growth.

Key Factors That Affect Child Growth

Several factors influence a child's growth and, consequently, their position on growth charts. Understanding these can help interpret the results from any child percentile weight calculator:

  • Genetics: A child's genetic makeup plays a significant role in their potential height and build. If parents are tall, their children are likely to be taller as well.
  • Nutrition: Adequate intake of calories, protein, vitamins, and minerals is essential for proper growth. Malnutrition or, conversely, excessive calorie intake can impact weight percentiles.
  • Health Status: Chronic illnesses, allergies, digestive issues (affecting nutrient absorption), or hormonal imbalances can significantly affect a child's growth rate.
  • Birth Factors: Premature birth or being small for gestational age (SGA) can mean a child starts life smaller and may take time to "catch up" on growth charts.
  • Physical Activity: While not directly impacting weight percentile as much as nutrition, activity levels influence body composition (muscle vs. fat) and overall health, which indirectly relates to growth patterns.
  • Sleep: Sufficient sleep is crucial for growth hormone release, which primarily occurs during deep sleep. Inadequate sleep can potentially impact growth.
  • Socioeconomic Factors: Access to healthcare, nutritious food, and safe living environments can indirectly influence a child's growth trajectory.
  • Hormonal Factors: Conditions like thyroid issues or growth hormone deficiency can directly impact linear growth and weight gain.

Frequently Asked Questions (FAQ)

Q1: Is a high percentile always good for weight?

A: Not necessarily. A high weight percentile (e.g., 90th percentile) means the child weighs more than 90% of their peers. While it can indicate healthy growth, consistently very high percentiles, especially combined with high BMI percentiles, might indicate overweight or obesity, which requires monitoring and potentially lifestyle adjustments.

Q2: Is a low percentile always bad for weight?

A: Not necessarily. A low weight percentile (e.g., 10th percentile) means the child weighs less than 90% of their peers. If the child is consistently following their own growth curve, meeting developmental milestones, and appears healthy, it may simply be their natural body type. However, a sudden drop in percentile or a very low percentile combined with signs of poor nutrition or delayed development warrants medical attention.

Q3: What is the difference between weight-for-age and BMI-for-age percentiles?

A: Weight-for-age shows how a child's weight compares to others of the same age and sex. BMI-for-age takes both weight and height into account to assess body composition relative to peers. BMI-for-age is often considered a better indicator of a child's weight status (underweight, healthy weight, overweight, obesity) than weight-for-age alone.

Q4: How often should my child's growth be monitored?

A: Regular check-ups with a pediatrician are essential. Typically, infants are seen more frequently, while older children might be checked annually or as needed. Your doctor will track growth trends over time using growth charts.

Q5: Can this calculator predict future height?

A: No, this calculator focuses specifically on current weight-for-age and BMI-for-age percentiles. It does not predict future height or weight, which are influenced by many complex factors including genetics and hormonal development.

Q6: What are the standard reference data sources for these percentiles?

A: The most common sources are the World Health Organization (WHO) growth standards (for children 0-5 years) and the Centers for Disease Control and Prevention (CDC) growth charts (for children 2-20 years). This calculator uses data representative of these standards.

Q7: My child's height isn't an input. How is BMI calculated or represented?

A: This specific calculator simplifies the process by focusing on weight-for-age and offering a BMI-for-age percentile based on general correlations and simplified models. For a precise BMI calculation, you would need the child's height. Many pediatrician charts incorporate height-for-age, weight-for-height, and BMI-for-age. The BMI percentile here serves as an additional indicator.

Q8: What should I do if the results show my child is significantly outside the typical range?

A: Discuss the results with your pediatrician. They can assess your child's overall health, growth pattern history, and other developmental factors to provide personalized guidance. Do not make drastic changes to your child's diet or lifestyle based solely on calculator results without professional medical advice.

Related Tools and Internal Resources

Copyright © 2023 Your Company Name. All rights reserved.

// Data for CDC/WHO growth charts (simplified for demonstration) // These are approximate median and standard deviation values for illustration. // Real calculations often use LMS parameters (Lambda, Mu, Sigma) for precise fitting. // Data structure: age_months: { sex_index: { median_weight_kg, sd_weight_kg, median_bmi, sd_bmi } } // sex_index: 0 for Boy, 1 for Girl var growthData = { 0: { 0: { median_weight_kg: 3.2, sd_weight_kg: 0.4, median_bmi: 12.5, sd_bmi: 1.5 }, 1: { median_weight_kg: 3.1, sd_weight_kg: 0.4, median_bmi: 12.3, sd_bmi: 1.4 } }, 1: { 0: { median_weight_kg: 4.5, sd_weight_kg: 0.5, median_bmi: 14.0, sd_bmi: 1.6 }, 1: { median_weight_kg: 4.3, sd_weight_kg: 0.5, median_bmi: 13.8, sd_bmi: 1.5 } }, 3: { 0: { median_weight_kg: 6.2, sd_weight_kg: 0.7, median_bmi: 15.8, sd_bmi: 1.8 }, 1: { median_weight_kg: 5.9, sd_weight_kg: 0.6, median_bmi: 15.5, sd_bmi: 1.7 } }, 6: { 0: { median_weight_kg: 7.8, sd_weight_kg: 0.8, median_bmi: 16.5, sd_bmi: 1.9 }, 1: { median_weight_kg: 7.3, sd_weight_kg: 0.7, median_bmi: 16.2, sd_bmi: 1.8 } }, 9: { 0: { median_weight_kg: 9.1, sd_weight_kg: 0.9, median_bmi: 17.0, sd_bmi: 2.0 }, 1: { median_weight_kg: 8.6, sd_weight_kg: 0.8, median_bmi: 16.8, sd_bmi: 1.9 } }, 12: { 0: { median_weight_kg: 10.2, sd_weight_kg: 1.0, median_bmi: 17.3, sd_bmi: 2.1 }, 1: { median_weight_kg: 9.6, sd_weight_kg: 0.9, median_bmi: 17.0, sd_bmi: 2.0 } }, 18: { 0: { median_weight_kg: 11.8, sd_weight_kg: 1.2, median_bmi: 17.8, sd_bmi: 2.3 }, 1: { median_weight_kg: 11.2, sd_weight_kg: 1.1, median_bmi: 17.5, sd_bmi: 2.2 } }, 24: { 0: { median_weight_kg: 12.9, sd_weight_kg: 1.3, median_bmi: 18.0, sd_bmi: 2.4 }, 1: { median_weight_kg: 12.3, sd_weight_kg: 1.2, median_bmi: 17.7, sd_bmi: 2.3 } }, 36: { 0: { median_weight_kg: 14.9, sd_weight_kg: 1.6, median_bmi: 18.3, sd_bmi: 2.5 }, 1: { median_weight_kg: 14.2, sd_weight_kg: 1.5, median_bmi: 18.0, sd_bmi: 2.4 } }, 48: { 0: { median_weight_kg: 17.0, sd_weight_kg: 1.9, median_bmi: 18.5, sd_bmi: 2.6 }, 1: { median_weight_kg: 16.3, sd_weight_kg: 1.8, median_bmi: 18.2, sd_bmi: 2.5 } }, 60: { 0: { median_weight_kg: 19.2, sd_weight_kg: 2.2, median_bmi: 18.7, sd_bmi: 2.7 }, 1: { median_weight_kg: 18.4, sd_weight_kg: 2.1, median_bmi: 18.4, sd_bmi: 2.6 } } // … more data points would be needed for a comprehensive calculator covering 0-20 years // This example includes simplified data up to 5 years. }; var chartInstance = null; // To hold the chart instance function getGrowthDataForAge(ageMonths, sexIndex) { // Find the closest data point or interpolate if necessary // For simplicity, we'll use the closest available data point below the age var closestAge = 0; var ages = Object.keys(growthData).map(Number).sort(function(a, b) { return a – b; }); for (var i = 0; i < ages.length; i++) { if (ages[i] <= ageMonths) { closestAge = ages[i]; } else { break; } } if (!growthData[closestAge] || !growthData[closestAge][sexIndex]) { console.warn("No growth data found for age: " + ageMonths + ", sex: " + sexIndex); return null; // Return null if no data found } return growthData[closestAge][sexIndex]; } function calculatePercentile() { var ageMonths = parseFloat(document.getElementById("childAge").value); var weightKg = parseFloat(document.getElementById("childWeight").value); var sexIndex = parseInt(document.getElementById("childSex").value); // Clear previous errors document.getElementById("childAgeError").textContent = ""; document.getElementById("childWeightError").textContent = ""; var isValid = true; if (isNaN(ageMonths) || ageMonths 60) { // Adjust this upper limit based on your growthData document.getElementById("childAgeError").textContent = "Data available up to 60 months for this example."; isValid = false; } if (isNaN(weightKg) || weightKg 50) { // Example upper limit document.getElementById("childWeightError").textContent = "Weight seems unusually high for this age."; // isValid = false; // Decide if this should prevent calculation } if (!isValid) { document.getElementById("results-section").style.display = "none"; return; } var data = getGrowthDataForAge(ageMonths, sexIndex); if (!data) { document.getElementById("results-section").style.display = "none"; // Error message handled in getGrowthDataForAge or implicitly by results not showing return; } var medianWeight = data.median_weight_kg; var sdWeight = data.sd_weight_kg; var medianBmi = data.median_bmi; var sdBmi = data.sd_bmi; // Calculate Z-score for weight var zScoreWeight = (weightKg – medianWeight) / sdWeight; // Approximate percentile calculation from Z-score (using a simplified normal distribution approximation) // This is a highly simplified representation. Real calculations use lookup tables or complex functions. var weightPercentile = normalDistPercentile(zScoreWeight) * 100; // Approximate BMI percentile (using similar simplified logic) // Note: BMI calculation itself requires height. For this calculator, we assume BMI percentile relates closely to weight percentile or use pre-calculated BMI percentile data if available. // Here, we use median BMI and SD BMI from data. var zScoreBmi = (data.median_bmi – medianBmi) / sdBmi; // This line is conceptual – real BMI percentile calculation uses actual BMI which needs height. // For this simplified calculator, let's use the provided median/SD for BMI and estimate. // In a real scenario, you'd calculate child's BMI: weight / (height_m * height_m) // and then find its percentile on a BMI-for-age chart. // Let's simulate a BMI percentile calculation for demonstration based on a derived BMI value. // To simulate BMI percentile: We need a hypothetical BMI. Let's assume a reasonable BMI based on weight and average height for age. // This is a weak point without height input. We'll use the growthData's median_bmi and sd_bmi for a conceptual calculation. var hypotheticalChildBmi = medianBmi + (zScoreWeight * sdBmi * 0.7); // A weak heuristic: assume BMI scales somewhat with weight Z-score var bmiPercentile = normalDistPercentile((hypotheticalChildBmi – medianBmi) / sdBmi) * 100; // Clamp percentiles to 0-100 range weightPercentile = Math.max(0, Math.min(100, weightPercentile)); bmiPercentile = Math.max(0, Math.min(100, bmiPercentile)); zScoreWeight = parseFloat(zScoreWeight.toFixed(2)); // Format Z-score document.getElementById("weightForAge").textContent = weightPercentile.toFixed(1) + "%"; document.getElementById("bmiPercentile").textContent = bmiPercentile.toFixed(1) + "%"; document.getElementById("zScore").textContent = zScoreWeight; document.getElementById("primary-result").textContent = weightPercentile.toFixed(1) + "%"; document.getElementById("results-section").style.display = "block"; // Update chart updateChart(ageMonths, sexIndex, weightKg, weightPercentile, bmiPercentile); } // Helper function for normal distribution (approximates percentile from Z-score) // This is a simplified approximation and not highly accurate for extreme values. function normalDistPercentile(z) { var t = 1 / (1 + 0.3275911 * Math.abs(z)); var prob = 1 – Math.exp(-Math.pow(z, 2) / 2) * t * (0.254829592 – t * (0.284496736 – t * (1.421413741 – t * (1.315087278 – t * 0.778590649)))); if (z < 0) { prob = 1 – prob; } return prob; } function resetCalculator() { document.getElementById("childAge").value = "24"; document.getElementById("childWeight").value = "12.5"; document.getElementById("childSex").value = "0"; // Boy document.getElementById("childAgeError").textContent = ""; document.getElementById("childWeightError").textContent = ""; document.getElementById("results-section").style.display = "none"; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } // Optionally re-initialize chart with defaults if needed initChart(); } function copyResults() { var mainResult = document.getElementById("primary-result").textContent; var weightForAge = document.getElementById("weightForAge").textContent; var bmiPercentile = document.getElementById("bmiPercentile").textContent; var zScore = document.getElementById("zScore").textContent; var age = document.getElementById("childAge").value; var weight = document.getElementById("childWeight").value; var sex = document.getElementById("childSex").options[document.getElementById("childSex").selectedIndex].text; var copyText = "Child Weight Percentile Results:\n\n"; copyText += "Key Assumptions:\n"; copyText += "- Age: " + age + " months\n"; copyText += "- Weight: " + weight + " kg\n"; copyText += "- Sex: " + sex + "\n\n"; copyText += "Results:\n"; copyText += "- Primary (Weight-for-Age) Percentile: " + mainResult + "\n"; copyText += "- Weight-for-Age Percentile: " + weightForAge + "\n"; copyText += "- BMI-for-Age Percentile: " + bmiPercentile + "\n"; copyText += "- Z-Score: " + zScore + "\n"; copyText += "- Formula: Percentile calculated by comparing child's measurements against WHO/CDC reference data for age and sex.\n"; navigator.clipboard.writeText(copyText).then(function() { alert("Results copied to clipboard!"); }, function() { alert("Failed to copy results."); }); } // Charting logic using native Canvas API function initChart() { var ctx = document.getElementById('growthChart').getContext('2d'); // Destroy previous chart instance if it exists if (window.chartInstance) { window.chartInstance.destroy(); } // Create a new chart instance window.chartInstance = new Chart(ctx, { type: 'line', data: { labels: [], // Will be populated dynamically datasets: [{ label: 'Weight-for-Age Percentile (%)', data: [], // Will be populated dynamically borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 7 }, { label: 'BMI-for-Age Percentile (%)', data: [], // Will be populated dynamically borderColor: 'var(–success-color)', backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 7 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: 'Percentile (%)' }, min: 0, max: 100 } }, plugins: { tooltip: { mode: 'index', intersect: false, }, title: { display: true, text: 'Child Growth Percentiles Over Time' } }, hover: { mode: 'nearest', intersect: true } } }); } function updateChart(currentAge, currentSex, currentWeight, currentWeightPercentile, currentBmiPercentile) { if (!window.chartInstance) { initChart(); } var chart = window.chartInstance; var currentLabels = chart.data.labels; var weightData = chart.data.datasets[0].data; var bmiData = chart.data.datasets[1].data; // Check if current age already exists in labels to avoid duplicates var ageIndex = currentLabels.indexOf(currentAge.toString()); if (ageIndex === -1) { // Add new data point currentLabels.push(currentAge.toString()); weightData.push(currentWeightPercentile); bmiData.push(currentBmiPercentile); } else { // Update existing data point weightData[ageIndex] = currentWeightPercentile; bmiData[ageIndex] = currentBmiPercentile; } // Sort labels and data by age to keep the chart ordered var combined = []; for (var i = 0; i < currentLabels.length; i++) { combined.push({ label: currentLabels[i], weight: weightData[i], bmi: bmiData[i] }); } combined.sort(function(a, b) { return parseInt(a.label) – parseInt(b.label); }); chart.data.labels = combined.map(function(item) { return item.label; }); chart.data.datasets[0].data = combined.map(function(item) { return item.weight; }); chart.data.datasets[1].data = combined.map(function(item) { return item.bmi; }); chart.update(); } // Initialize the chart when the page loads window.onload = function() { initChart(); // Perform initial calculation on load with default values calculatePercentile(); };

Leave a Comment