Calculating Child’s Weight Based on Age

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Child's Weight by Age Calculator & Growth Chart

Understand your child's growth trajectory by calculating their weight relative to age and comparing it against established growth charts.

Child's Weight Calculator

Enter your child's age and weight to see their approximate growth percentile. Please note that this is a general guide and not a substitute for professional medical advice.

Enter age in full months.
Enter weight in kilograms.

Your Child's Growth Metrics

–.– kg
Median Weight: –.– kg
Z-Score: –.–
Approx. Percentile: –%

Key Assumptions & Notes:

Age: — months
Weight: — kg
Growth charts used: WHO Standards (0-2 years), CDC (2+ years). Data is approximate.

Understanding the Calculation

This calculator estimates your child's growth percentile based on established growth charts (like WHO or CDC). It compares your child's weight for their age against the median weight and considers the typical variation (standard deviations or Z-scores) for that age group. The primary output is an estimated percentile, indicating how your child's weight compares to others of the same age and sex.

Formula Concept: While a precise percentile calculation involves complex look-up tables and interpolation from WHO/CDC data, the core idea is to determine where the child's weight falls within the distribution for their age. This often involves calculating a Z-score, which measures how many standard deviations a data point is from the mean, and then converting that Z-score to a percentile.

Child Growth Data Table

Approximate Weight Ranges by Age (Months)
Age (Months) Median Weight (kg) Approx. 3rd Percentile (kg) Approx. 97th Percentile (kg)

Child Growth Chart

Visualizing your child's weight percentile relative to age.

What is Calculating Child's Weight Based on Age?

Calculating a child's weight based on age is a fundamental aspect of pediatric health monitoring. It involves comparing a child's current weight to the expected weight range for their specific age and sex, using standardized growth charts. This process helps healthcare providers and parents assess whether a child is growing appropriately, identify potential growth faltering, or detect excessive weight gain. Understanding these metrics is crucial for ensuring a child's healthy development from infancy through adolescence. Parents often use these calculators to get a general idea of their child's growth between doctor's visits, but it's vital to remember that these tools provide estimates and should not replace professional medical evaluation. This process is central to the field of pediatric growth monitoring.

Who Should Use This Tool?

This calculator is beneficial for several groups:

  • Parents and Guardians: Seeking to understand their child's growth patterns and how they compare to peers.
  • Caregivers: Responsible for a child's well-being and wanting to monitor developmental milestones.
  • Health Students and Educators: Learning about pediatric growth assessment and interpretation.
  • Anyone interested in child development: Gaining insight into typical growth variations.

It's important to note that while useful, this tool is informational and should not be used for self-diagnosis or to make significant health decisions without consulting a pediatrician.

Common Misconceptions

  • "My child must be exactly at the 50th percentile." This is untrue. A wide range of percentiles (often between the 3rd and 97th) are considered healthy. What matters most is consistent growth along their percentile curve.
  • "A higher percentile is always better." Not necessarily. Rapid weight gain can also indicate potential health issues, just as low weight can. The pattern of growth is more important than a single number.
  • "These charts apply to all children equally." Growth charts are typically sex-specific and may have different versions for different populations (e.g., WHO for international standards, CDC for US-based populations). Premature infants also have specialized growth charts.

Child's Weight by Age Formula and Mathematical Explanation

The process of calculating a child's weight by age and determining its percentile isn't a single, simple formula like basic arithmetic. Instead, it relies on complex statistical models derived from extensive population data, typically collected by organizations like the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC). These models produce growth charts that plot weight (or height, head circumference) against age.

Core Concepts:

  • Reference Data: Growth charts are based on measurements from large groups of healthy children.
  • Percentiles: A percentile indicates the percentage of children in the reference population who are at or below a specific measurement. For example, the 50th percentile means that half the children weigh less, and half weigh more. The 3rd percentile represents the lower end of the typical range, and the 97th percentile represents the upper end.
  • Z-Scores: Often used for statistical analysis, a Z-score represents the number of standard deviations a child's measurement is away from the median (mean) for their age. A Z-score of 0 is the median, +1 is one standard deviation above, -1 is one standard deviation below, and so on. Z-scores are particularly useful for comparing growth across different age ranges and for precise statistical analysis. The formula for a Z-score is: \( Z = \frac{(X – M)}{SD} \), where \(X\) is the child's measurement, \(M\) is the median measurement for that age, and \(SD\) is the standard deviation for that age.

Variable Explanations

Variable Meaning Unit Typical Range (Conceptual)
Age The child's age in months or years. Months / Years 0 – 20 years
Weight The child's measured weight. kg / lbs Varies greatly with age
Median Weight (W50) The weight at the 50th percentile for the specific age and sex. kg / lbs Reference chart specific
Standard Deviation (SD) A measure of the spread or dispersion of weights around the median for a specific age and sex. kg / lbs Reference chart specific
Z-Score Number of standard deviations the child's weight is from the median. Unitless Typically -3 to +3 for healthy growth
Percentile The percentage of children at or below this child's weight for age. % 0 – 100%

This calculator approximates the percentile using simplified methods or lookups based on common reference data. For precise clinical use, healthcare professionals refer directly to official WHO or CDC growth charts and software.

Practical Examples (Real-World Use Cases)

Example 1: A Healthy 12-Month-Old Baby

Scenario: Sarah is a happy, active 12-month-old baby. Her parents bring her for a check-up. The pediatrician records her weight as 9.5 kg.

Inputs:

  • Age: 12 months
  • Weight: 9.5 kg

Calculation Results (Hypothetical):

  • Median Weight (12 months): Approx. 9.6 kg
  • Child's Weight: 9.5 kg
  • Estimated Percentile: Approximately 48th percentile

Interpretation: Sarah's weight is very close to the median for her age, falling slightly below the 50th percentile. This indicates she is growing well within the healthy range and tracking along a typical growth curve. Her parents can be reassured.

Example 2: A 3-Year-Old Child Gaining Weight

Scenario: Tom is 3 years old (36 months) and his parents are concerned he seems larger than other children his age. His current weight is 18.0 kg.

Inputs:

  • Age: 36 months
  • Weight: 18.0 kg

Calculation Results (Hypothetical):

  • Median Weight (36 months): Approx. 14.3 kg
  • Child's Weight: 18.0 kg
  • Estimated Percentile: Approximately 95th percentile

Interpretation: Tom's weight is significantly above the median for his age, placing him in the higher percentiles. While still within the "healthy" range according to some charts (up to 97th), it indicates rapid weight gain. This might prompt a discussion with the pediatrician about diet, activity levels, and long-term health implications, rather than immediate concern about being underweight. The focus might shift to ensuring he is on a healthy growth trajectory rather than rapidly increasing percentiles.

How to Use This Child's Weight by Age Calculator

Using this calculator is straightforward, but understanding the results requires context.

Step-by-Step Instructions:

  1. Enter Child's Age: Input the child's age in months into the "Child's Age (Months)" field. Be precise; for example, a 1-year-old is 12 months old.
  2. Enter Child's Weight: Input the child's current weight in kilograms (kg) into the "Child's Weight (kg)" field.
  3. Click Calculate: Press the "Calculate" button.
  4. View Results: The calculator will display:
    • Primary Result: Your child's approximate weight percentile.
    • Intermediate Values: Such as the median weight for that age, and potentially a Z-score.
    • Key Assumptions: Reiterating the inputs and mentioning the data source (e.g., WHO/CDC charts).
  5. Analyze the Chart and Table: Refer to the growth chart and data table to visualize your child's position relative to typical growth patterns and understand the ranges.
  6. Use Copy Results: If needed, click "Copy Results" to save or share the calculated data.
  7. Reset: Use the "Reset" button to clear the fields and start over.

How to Read Results:

  • Percentile: If your child is at the 75th percentile, it means they weigh more than 75% of children of the same age and sex, and less than 25%.
  • Median (50th Percentile): Represents the average weight.
  • Lower Percentiles (e.g., 3rd-10th): Indicate a child is on the smaller side but likely healthy if growing consistently.
  • Higher Percentiles (e.g., 90th-97th): Indicate a child is on the larger side but likely healthy if growing consistently.
  • Consistent Growth: The most important factor is whether the child is growing steadily along their curve, rather than jumping significantly between percentiles.

Decision-Making Guidance:

This calculator is a tool for awareness, not diagnosis. If your child's weight percentile is very high or very low, or if they have experienced sudden drops or jumps in their growth curve, consult your pediatrician. They can provide a comprehensive assessment considering the child's overall health, feeding habits, activity level, and family history.

Key Factors That Affect Child's Weight Results

Several factors influence a child's weight and how it relates to their age, impacting the results obtained from any calculator or growth chart:

  1. Genetics: A child's inherited predisposition plays a significant role in their body size and potential growth rate. Children may naturally trend towards the size of their parents.
  2. Nutrition and Diet: Adequate and appropriate nutrition is paramount. Insufficient calorie intake can lead to low weight, while excessive intake, particularly of processed foods and sugars, can lead to higher weight. Breast milk or formula composition for infants, and balanced meals for older children, are critical.
  3. Physical Activity Level: Active children tend to have different body compositions than sedentary ones. Regular exercise helps maintain a healthy weight by burning calories and building muscle mass.
  4. Health Conditions: Underlying medical issues, such as metabolic disorders, endocrine problems (like thyroid issues), digestive problems (affecting nutrient absorption), or chronic illnesses, can significantly affect a child's weight.
  5. Prematurity: Infants born prematurely often have different growth trajectories and may require specialized growth charts designed for premature babies, especially in the first couple of years.
  6. Sex: Boys and girls typically follow slightly different growth patterns and weight distributions after infancy. Growth charts are almost always sex-specific.
  7. Sleep Patterns: While less direct, adequate sleep is crucial for hormonal balance and overall growth, which can indirectly influence weight regulation.
  8. Socioeconomic Factors: Access to nutritious food, healthcare, and safe environments for physical activity can be influenced by socioeconomic status, thereby affecting growth outcomes.

Frequently Asked Questions (FAQ)

What are the standard growth charts used?
The most widely recognized growth charts are those published by the World Health Organization (WHO) for children from birth to 2 years, and the Centers for Disease Control and Prevention (CDC) for children aged 2 to 20 years in the United States. This calculator aims to use data consistent with these standards.
Is it bad if my child is below the 50th percentile?
Not necessarily. Being below the 50th percentile simply means your child weighs less than 50% of children their age. As long as they are growing steadily along their percentile curve and are healthy, active, and meeting developmental milestones, this is perfectly normal. Consistency is key.
My child jumped from the 50th percentile to the 90th. Should I be worried?
A significant jump in percentiles, especially over a short period, warrants attention. While rapid growth can sometimes be a catch-up phase, it could also indicate a change in diet, activity level, or an underlying health issue. It's best to discuss this with your pediatrician for a professional evaluation.
How often should I track my child's weight?
Regular check-ups with your pediatrician are the best way to track growth. They typically measure weight and height at well-child visits, which occur frequently in the first few years of life (e.g., monthly/bimonthly for infants, then every few months). For home monitoring, occasional checks are fine, but focus on the overall trend rather than daily fluctuations.
Does this calculator account for premature babies?
This calculator uses standard growth charts (WHO/CDC) which are designed for full-term infants and children. Premature babies often have different growth trajectories, especially in the early months and years. Specialized growth charts are available for premature infants, and their growth should be monitored by healthcare professionals using these specific charts.
What is the difference between weight-for-age and BMI-for-age?
Weight-for-age is a simple comparison of a child's weight to the median weight for their age. BMI-for-age (Body Mass Index for age) is a more comprehensive measure that takes into account both weight and height relative to age. BMI-for-age is generally considered a better indicator of a child's body fatness and nutritional status, especially for older children.
Can I use pounds (lbs) instead of kilograms (kg)?
This specific calculator is designed to accept input in kilograms (kg) and will provide results in kg. You would need to convert your measurements from pounds to kilograms (1 kg ≈ 2.20462 lbs) before entering them if your scale uses imperial units.
How does this relate to overall child development?
Weight gain is a key indicator of a child's overall health and development. Consistent, appropriate weight gain suggests that the child is receiving adequate nutrition and is free from significant underlying health issues that might impede growth. Deviations from typical growth patterns can sometimes be an early sign that further investigation is needed regarding the child's health or nutritional intake.
Can I use the data from this calculator for official medical records?
This calculator provides an estimation based on publicly available data and simplified algorithms. It is intended for informational purposes only. Official medical records should rely on measurements taken by healthcare professionals using calibrated equipment and official growth charts or software.

© 2023 Your Company Name. All rights reserved. This calculator is for informational purposes only and does not constitute medical advice.

// — Calculator Logic — var growthData = { "0-1": {"months": 0.5, "median": 3.1, "sd3": 2.6, "sd97": 4.1}, // Approx for 1 month old "1-2": {"months": 1.5, "median": 4.0, "sd3": 3.3, "sd97": 5.1}, "2-3": {"months": 2.5, "median": 4.8, "sd3": 3.9, "sd97": 6.0}, "3-4": {"months": 3.5, "median": 5.5, "sd3": 4.4, "sd97": 6.8}, "4-5": {"months": 4.5, "median": 6.1, "sd3": 4.8, "sd97": 7.4}, "5-6": {"months": 5.5, "median": 6.6, "sd3": 5.1, "sd97": 8.0}, "6-7": {"months": 6.5, "median": 7.0, "sd3": 5.4, "sd97": 8.5}, "7-8": {"months": 7.5, "median": 7.3, "sd3": 5.6, "sd97": 8.8}, "8-9": {"months": 8.5, "median": 7.6, "sd3": 5.7, "sd97": 9.1}, "9-10": {"months": 9.5, "median": 7.8, "sd3": 5.8, "sd97": 9.3}, "10-11": {"months": 10.5, "median": 8.0, "sd3": 5.9, "sd97": 9.5}, "11-12": {"months": 11.5, "median": 8.2, "sd3": 6.0, "sd97": 9.7}, // Approx for 12 months old "12-18": {"months": 15, "median": 9.5, "sd3": 6.8, "sd97": 11.5}, // Midpoint approx for 12-18 months "18-24": {"months": 21, "median": 11.0, "sd3": 7.5, "sd97": 13.5}, // Midpoint approx for 18-24 months "24-30": {"months": 27, "median": 12.0, "sd3": 8.0, "sd97": 14.5}, // Midpoint approx for 24-30 months "30-36": {"months": 33, "median": 13.0, "sd3": 8.5, "sd97": 15.5}, // Midpoint approx for 30-36 months "36-42": {"months": 39, "median": 14.0, "sd3": 9.0, "sd97": 17.0}, // Midpoint approx for 36-42 months "42-48": {"months": 45, "median": 15.0, "sd3": 9.5, "sd97": 18.0}, // Midpoint approx for 42-48 months "48-54": {"months": 51, "median": 16.0, "sd3": 10.0, "sd97": 19.5}, // Midpoint approx for 48-54 months "54-60": {"months": 57, "median": 17.0, "sd3": 10.5, "sd97": 21.0}, // Midpoint approx for 54-60 months "60-72": {"months": 66, "median": 19.0, "sd3": 11.5, "sd97": 23.0}, // Midpoint approx for 60-72 months }; // Approximate CDC data for older children (simplified) var cdcGrowthData = [ {"months": 12, "median": 9.6, "sd3": 7.5, "sd97": 11.8}, // 1 year {"months": 18, "median": 11.0, "sd3": 8.7, "sd97": 13.7}, // 1.5 years {"months": 24, "median": 12.2, "sd3": 9.5, "sd97": 15.2}, // 2 years {"months": 30, "median": 13.1, "sd3": 10.1, "sd97": 16.4}, {"months": 36, "median": 14.3, "sd3": 10.7, "sd97": 17.8}, // 3 years {"months": 42, "median": 15.2, "sd3": 11.2, "sd97": 19.1}, {"months": 48, "median": 16.3, "sd3": 11.8, "sd97": 20.5}, // 4 years {"months": 54, "median": 17.2, "sd3": 12.3, "sd97": 21.8}, {"months": 60, "median": 18.1, "sd3": 12.8, "sd97": 23.2}, // 5 years {"months": 66, "median": 19.1, "sd3": 13.3, "sd97": 24.5}, {"months": 72, "median": 20.0, "sd3": 13.8, "sd97": 25.9}, // 6 years {"months": 78, "median": 21.0, "sd3": 14.3, "sd97": 27.2}, {"months": 84, "median": 22.0, "sd3": 14.8, "sd97": 28.5}, // 7 years {"months": 90, "median": 23.1, "sd3": 15.3, "sd97": 29.8}, {"months": 96, "median": 24.2, "sd3": 15.8, "sd97": 31.1}, // 8 years {"months": 102, "median": 25.3, "sd3": 16.3, "sd97": 32.4}, {"months": 108, "median": 26.5, "sd3": 16.8, "sd97": 33.7}, // 9 years {"months": 114, "median": 27.6, "sd3": 17.3, "sd97": 35.0}, {"months": 120, "median": 28.8, "sd3": 17.8, "sd97": 36.2}, // 10 years {"months": 132, "median": 31.2, "sd3": 18.8, "sd97": 38.7}, // 11 years {"months": 144, "median": 33.7, "sd3": 19.8, "sd97": 41.2}, // 12 years {"months": 156, "median": 36.3, "sd3": 20.9, "sd97": 43.7}, // 13 years {"months": 168, "median": 39.1, "sd3": 22.0, "sd97": 46.3}, // 14 years {"months": 180, "median": 42.0, "sd3": 23.1, "sd97": 48.9}, // 15 years {"months": 192, "median": 44.9, "sd3": 24.2, "sd97": 51.5}, // 16 years {"months": 204, "median": 47.7, "sd3": 25.3, "sd97": 54.1}, // 17 years {"months": 216, "median": 50.5, "sd3": 26.3, "sd97": 56.6}, // 18 years {"months": 228, "months": 53.1, "sd3": 27.3, "sd97": 59.0}, // 19 years {"months": 240, "months": 55.6, "sd3": 28.2, "sd97": 61.3} // 20 years ]; var chartInstance = null; function getGrowthDataForAge(ageInMonths) { if (ageInMonths < 1) return null; // Age must be at least 1 month if (ageInMonths = lower && ageInMonths <= upper) { return { months: ageInMonths, median: growthData[key].median, sd3: growthData[key].sd3, sd97: growthData[key].sd97 }; } } } else { // Find closest data point for CDC data (24+ months) var closest = cdcGrowthData[0]; for (var i = 0; i < cdcGrowthData.length; i++) { if (ageInMonths <= cdcGrowthData[i].months) { closest = cdcGrowthData[i]; break; } } return { months: ageInMonths, median: closest.median, sd3: closest.sd3, sd97: closest.sd97 }; } // Fallback if no specific data found (should not happen with comprehensive data) return null; } function calculatePercentile(weightKg, ageInMonths) { var dataPoint = getGrowthDataForAge(ageInMonths); if (!dataPoint) return null; var medianWeight = dataPoint.median; var sd = dataPoint.sd; // Need SD to calculate Z-score // For simplicity, let's approximate SD from the 3rd and 97th percentiles // SD ≈ (P97 – P3) / 4 (assuming roughly normal distribution) var approximateSd = (dataPoint.sd97 – dataPoint.sd3) / 4; if (approximateSd <= 0) return null; // Avoid division by zero or invalid SD var zScore = (weightKg – medianWeight) / approximateSd; // Approximate percentile from Z-score (using a simplified lookup or formula) // A common approximation uses the cumulative distribution function (CDF) of the normal distribution. // Since we can't use advanced JS functions easily, we'll use a lookup table or simpler estimation. // For this example, we'll map Z-scores to approximate percentiles based on typical ranges. if (zScore < -3) return "< 0.1"; if (zScore < -2.5) return "0.6"; if (zScore < -2) return "2.3"; if (zScore < -1.5) return "6.7"; if (zScore < -1) return "15.9"; if (zScore < -0.5) return "30.9"; if (zScore < 0) return "40.0"; // Closer to 50% if (zScore < 0.5) return "60.0"; // Closer to 50% if (zScore < 1) return "77.7"; if (zScore < 1.5) return "84.1"; if (zScore < 2) return "93.3"; if (zScore < 2.5) return "97.7"; if (zScore = 3) return "> 99.9"; // If weight is exactly median, it's 50th percentile if (weightKg === medianWeight) return "50"; return null; // Could not determine } function validateInput(id, errorId, minValue, maxValue) { var input = document.getElementById(id); var errorDiv = document.getElementById(errorId); var value = input.value.trim(); errorDiv.textContent = ""; // Clear previous error if (value === "") { errorDiv.textContent = "This field is required."; return false; } var numValue = parseFloat(value); if (isNaN(numValue)) { errorDiv.textContent = "Please enter a valid number."; return false; } if (minValue !== undefined && numValue maxValue) { errorDiv.textContent = "Value exceeds maximum limit."; return false; } return true; } function calculateWeightByAge() { var ageValid = validateInput('childAge', 'childAgeError', 0); var weightValid = validateInput('childWeight', 'childWeightError', 0); if (!ageValid || !weightValid) { document.getElementById('results').style.display = 'none'; return; } var childAge = parseFloat(document.getElementById('childAge').value); var childWeight = parseFloat(document.getElementById('childWeight').value); var growthInfo = getGrowthDataForAge(childAge); var percentile = calculatePercentile(childWeight, childAge); var resultsDiv = document.getElementById('results'); var mainResultDisplay = document.getElementById('mainResult'); var medianWeightDisplay = document.getElementById('medianWeight'); var weightZScoreDisplay = document.getElementById('weightZScore'); var growthPercentileDisplay = document.getElementById('growthPercentile'); var assumption1Display = document.getElementById('assumption1'); var assumption2Display = document.getElementById('assumption2'); if (growthInfo && percentile !== null) { mainResultDisplay.textContent = childWeight.toFixed(2) + " kg"; medianWeightDisplay.textContent = "Median Weight: " + growthInfo.median.toFixed(2) + " kg"; var approximateSd = (growthInfo.sd97 – growthInfo.sd3) / 4; var zScore = (childWeight – growthInfo.median) / approximateSd; weightZScoreDisplay.textContent = "Z-Score: " + zScore.toFixed(2); growthPercentileDisplay.textContent = "Approx. Percentile: " + percentile + "%"; assumption1Display.textContent = "Age: " + childAge + " months"; assumption2Display.textContent = "Weight: " + childWeight.toFixed(2) + " kg"; resultsDiv.style.display = 'block'; updateChart([childAge], [childWeight], [percentile], [growthInfo.median]); } else { resultsDiv.style.display = 'none'; alert("Could not calculate growth metrics for the provided age. Please ensure age is within a reasonable range (e.g., 1-240 months)."); } } function resetCalculator() { document.getElementById('childAge').value = "; document.getElementById('childWeight').value = "; document.getElementById('childAgeError').textContent = "; document.getElementById('childWeightError').textContent = "; document.getElementById('results').style.display = 'none'; // Reset chart to default state or clear it if (chartInstance) { chartInstance.data.labels = []; chartInstance.data.datasets[0].data = []; // Child's Weight chartInstance.data.datasets[1].data = []; // Median Weight chartInstance.update(); } } function copyResults() { var resultsContent = "Child's Weight Calculation Results:\n\n"; resultsContent += document.getElementById('results').innerText.replace('Approx. Percentile:', 'Percentile:'); resultsContent += "\n\nKey Assumptions:\n"; resultsContent += document.getElementById('assumption1').innerText + "\n"; resultsContent += document.getElementById('assumption2').innerText + "\n"; resultsContent += document.getElementById('assumption3').innerText; var tempTextArea = document.createElement("textarea"); tempTextArea.value = resultsContent; document.body.appendChild(tempTextArea); tempTextArea.select(); try { document.execCommand("copy"); alert("Results copied to clipboard!"); } catch (e) { alert("Failed to copy results."); } document.body.removeChild(tempTextArea); } // — Table Population — function populateGrowthTable() { var tableBody = document.querySelector("#growthTable tbody"); tableBody.innerHTML = "; // Clear existing rows // WHO Data (0-24 months) var whoAgePoints = [1, 3, 6, 9, 12, 18, 24]; for (var i = 0; i < whoAgePoints.length; i++) { var age = whoAgePoints[i]; var data = getGrowthDataForAge(age); if (data) { var row = tableBody.insertRow(); row.insertCell(0).textContent = age + " months"; row.insertCell(1).textContent = data.median.toFixed(2); row.insertCell(2).textContent = data.sd3.toFixed(2); row.insertCell(3).textContent = data.sd97.toFixed(2); } } // CDC Data (2 years onwards) – add a few key points var cdcAgePoints = [36, 48, 60, 72, 84, 96, 108, 120, 144, 180, 240]; // 3, 4, 5, 6, 7, 8, 9, 10, 12, 15, 20 years for (var i = 0; i < cdcAgePoints.length; i++) { var age = cdcAgePoints[i]; var data = getGrowthDataForAge(age); if (data) { var row = tableBody.insertRow(); row.insertCell(0).textContent = age + " months"; row.insertCell(1).textContent = data.median.toFixed(2); row.insertCell(2).textContent = data.sd3.toFixed(2); row.insertCell(3).textContent = data.sd97.toFixed(2); } } } // — Charting — function updateChart(ages, weights, percentiles, medians) { var ctx = document.getElementById('growthChartCanvas').getContext('2d'); // Ensure we have at least one data point to draw if (ages.length === 0 || weights.length === 0) { if (chartInstance) chartInstance.destroy(); chartInstance = null; return; } var chartData = { labels: ages, // Child's age points datasets: [ { label: 'Child\'s Weight', data: weights, borderColor: '#004a99', backgroundColor: 'rgba(0, 74, 153, 0.5)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 7 }, { label: 'Median Weight (50th %ile)', data: medians, borderColor: '#ffc107', // Yellow for median borderDash: [5, 5], fill: false, tension: 0.1, pointRadius: 0 // No points for the line itself } // Could add 3rd and 97th percentile lines here if needed ] }; var chartOptions = { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, labelString: 'Age (Months)' } }, y: { title: { display: true, labelString: 'Weight (kg)' }, beginAtZero: false // Start Y-axis appropriately } }, plugins: { legend: { display: true, position: 'top' }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2) + ' kg'; } // Add percentile info if available for the child's weight point if (context.dataset.label === "Child's Weight" && percentiles && context.dataIndex < percentiles.length) { label += ` (Approx. ${percentiles[context.dataIndex]}%)`; } return label; } } } } }; // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Create new chart var growthChartCanvas = document.getElementById('growthChartCanvas'); if (growthChartCanvas) { chartInstance = new Chart(growthChartCanvas.getContext('2d'), { type: 'line', data: chartData, options: chartOptions }); } updateChartLegend(); } // Helper function to update chart legend text function updateChartLegend() { var legendHtml = ` Child's Weight Median Weight (50th %ile) `; document.getElementById('chartLegend').innerHTML = legendHtml; } // — FAQ Toggle — function toggleFaq(element) { var parent = element.parentElement; parent.classList.toggle('active'); } // — Initialization — window.onload = function() { populateGrowthTable(); // Initialize chart with empty data updateChart([], [], [], []); updateChartLegend(); }; // — Chart.js initialization (requires Chart.js library) — // NOTE: For a self-contained HTML file without external libraries, // you would need to implement charting using pure SVG or Canvas API. // The provided code ASSUMES Chart.js is available in the environment. // If running as a standalone file, Chart.js CDN link should be added to . // ADD THIS TO FOR STANDALONE FILE: //

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