Boy Weight Percentile Calculator

Boy Weight Percentile Calculator – Understand Growth Charts :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –light-gray: #e9ecef; –white: #ffffff; –error-color: #dc3545; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; } .container { width: 100%; max-width: 960px; margin: 20px auto; padding: 20px; background-color: var(–white); box-shadow: 0 2px 10px rgba(0, 0, 0, 0.08); border-radius: 8px; } h1, h2, h3 { color: var(–primary-color); text-align: center; margin-bottom: 1.5em; } h1 { font-size: 2.2em; } h2 { font-size: 1.8em; margin-top: 1.5em; } h3 { font-size: 1.4em; margin-top: 1.2em; } .input-group { margin-bottom: 20px; padding-bottom: 20px; border-bottom: 1px solid var(–light-gray); position: relative; } .input-group:last-child { border-bottom: none; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: var(–primary-color); } .input-group input[type="number"], .input-group select { width: 100%; padding: 10px 12px; border: 1px solid var(–light-gray); border-radius: 4px; box-sizing: border-box; font-size: 1em; margin-bottom: 5px; } .input-group .helper-text { font-size: 0.85em; color: #6c757d; display: block; margin-top: 5px; } .error-message { color: var(–error-color); font-size: 0.9em; margin-top: 5px; display: none; /* Hidden by default */ } .error-message.visible { display: block; } button { background-color: var(–primary-color); color: var(–white); border: none; padding: 12px 25px; border-radius: 5px; cursor: pointer; font-size: 1em; margin: 5px 10px 5px 0; transition: background-color 0.3s ease; text-transform: uppercase; font-weight: bold; } button:hover { background-color: #003366; } button.secondary { background-color: var(–light-gray); color: var(–primary-color); } button.secondary:hover { background-color: #d3d9e0; } .results-container { margin-top: 30px; padding: 25px; background-color: var(–primary-color); color: var(–white); border-radius: 8px; text-align: center; } .results-container h3 { color: var(–white); margin-bottom: 15px; } .primary-result { font-size: 2.5em; font-weight: bold; margin-bottom: 15px; display: block; background-color: var(–success-color); padding: 10px 20px; border-radius: 5px; display: inline-block; /* To make background fit content */ } .intermediate-results div { margin-bottom: 10px; font-size: 1.1em; } .intermediate-results span { font-weight: bold; margin-left: 5px; } .formula-explanation { margin-top: 20px; font-size: 0.95em; color: #f0f0f0; text-align: left; padding: 15px; background-color: rgba(0, 0, 0, 0.1); border-left: 4px solid var(–success-color); } table { width: 100%; border-collapse: collapse; margin-top: 30px; margin-bottom: 30px; box-shadow: 0 1px 5px rgba(0,0,0,0.1); } th, td { padding: 12px 15px; text-align: left; border: 1px solid var(–light-gray); } thead { background-color: var(–primary-color); color: var(–white); } tbody tr:nth-child(even) { background-color: var(–light-gray); } caption { caption-side: bottom; font-style: italic; color: #6c757d; margin-top: 10px; font-size: 0.9em; text-align: center; } canvas { display: block; margin: 30px auto; max-width: 100%; background-color: var(–white); border-radius: 8px; box-shadow: 0 1px 5px rgba(0,0,0,0.1); } .article-content { width: 100%; max-width: 960px; margin: 40px auto; padding: 20px; background-color: var(–white); box-shadow: 0 2px 10px rgba(0, 0, 0, 0.08); border-radius: 8px; text-align: left; } .article-content p, .article-content ul, .article-content ol { margin-bottom: 1.5em; font-size: 1.1em; } .article-content ul, .article-content ol { padding-left: 20px; } .article-content a { color: var(–primary-color); text-decoration: none; } .article-content a:hover { text-decoration: underline; } .faq-item { margin-bottom: 20px; padding-bottom: 15px; border-bottom: 1px dashed var(–light-gray); } .faq-item:last-child { border-bottom: none; } .faq-item strong { display: block; color: var(–primary-color); margin-bottom: 5px; font-size: 1.1em; } .copy-button { background-color: #6f42c1; /* Purple */ } .copy-button:hover { background-color: #5a32a3; } .reset-button { background-color: #ffc107; /* Yellow */ color: var(–text-color); } .reset-button:hover { background-color: #e0a800; } /* Responsive adjustments */ @media (max-width: 768px) { .container, .article-content { margin: 10px; padding: 15px; } h1 { font-size: 1.8em; } h2 { font-size: 1.5em; } h3 { font-size: 1.2em; } .primary-result { font-size: 2em; } button { width: 100%; margin-bottom: 10px; } }

Boy Weight Percentile Calculator

Understand your child's growth relative to other boys of the same age.

Enter the child's age in completed months (e.g., 24 for 2 years).
Enter the child's current weight in kilograms.

Your Child's Weight Percentile

Comparing against:
Growth Status:
SD Score:
Formula Note: Percentile ranks are determined by comparing a child's measurement to a reference population of children of the same age and sex. These values are derived from WHO (World Health Organization) or CDC (Centers for Disease Control and Prevention) growth charts, which use complex statistical models (like the LMS method) to estimate the 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, and 97th percentiles. Our calculator uses these standard reference data points to find the closest match.
Weight Percentile Comparison Chart for Boys
Age (Months) 5th Percentile (kg) 50th Percentile (kg) 95th Percentile (kg)
Typical Weight Ranges for Boys

Understanding your child's growth is a fundamental part of parenting, and a key metric is their weight percentile. This {primary_keyword} calculator provides an easy way to assess how your son's weight compares to other boys of the same age. Growth is a complex process, and using percentile charts helps healthcare providers and parents monitor development over time, ensuring that children are growing appropriately.

What is Boy Weight Percentile?

A boy weight percentile indicates where a child's weight falls in comparison to a group of children of the same age and sex. For instance, if a boy is at the 75th percentile for weight, it means he weighs more than 75% of boys his age, and less than 25%. It's crucial to understand that percentiles are not about "ideal" or "target" weights, but rather about describing a child's current growth pattern within a population. A child can be healthy at various percentiles, provided their growth is consistent and follows a general trend. This {primary_keyword} tool is designed for parents, caregivers, and healthcare professionals who need a quick and reliable way to calculate and interpret these values.

Common Misconceptions:

  • Percentiles are rigid targets: This is false. Growth is dynamic. A child might fluctuate between percentiles, and the overall pattern is more important than a single number.
  • Higher percentile is always better: Not necessarily. While being too low can indicate undernutrition, being excessively high can point towards potential future health risks like obesity. Consistency is key.
  • Percentiles are only for newborns: Growth charts and percentiles are used throughout childhood and adolescence.

{primary_keyword} Formula and Mathematical Explanation

The calculation of a weight percentile for a boy is not a simple algebraic formula that produces a single percentage from inputs. Instead, it relies on complex statistical data derived from large population studies, most notably by organizations like the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC). These organizations use methods like the LMS (Lambda-Mu-Sigma) method to model growth curves.

The LMS method models three key parameters for each age point:

  • L (Lambda): Skewness – measures the asymmetry of the distribution.
  • M (Mu): Median – represents the 50th percentile.
  • S (Sigma): Coefficient of variation – measures the spread or variability of the distribution.

Using these parameters, a Z-score (or SD score) is calculated, which is a standardized measure of how far an individual's measurement is from the median, expressed in terms of standard deviations. The Z-score is then converted into a percentile rank.

Simplified Calculation Logic (as implemented in this calculator):

While the underlying statistical models are complex, our calculator simplifies this by referencing pre-calculated tables or interpolated values from the WHO/CDC growth charts. When you input the boy's age and weight, the calculator queries a dataset that contains the weight values corresponding to specific percentiles (e.g., 3rd, 5th, 10th, 50th, 90th, 95th) for that exact age. It then determines which percentile range your child's weight falls into.

Variables Explained:

Variable Meaning Unit Typical Range
Age Age of the child Months 0-60 months (for typical WHO charts)
Weight Measured weight of the child Kilograms (kg) Varies greatly, e.g., 3 kg to 25 kg+ for ages 0-5 years
Percentile The rank indicating the child's weight relative to peers % 0-100%
SD Score (Z-score) Standard Deviations from the median weight for age Unitless Typically -3 to +3 for healthy growth

Practical Examples (Real-World Use Cases)

Let's look at a couple of scenarios to understand how the {primary_keyword} calculator is used:

Example 1: Healthy Growth Monitoring

  • Input:
    • Boy's Age: 18 months
    • Boy's Weight: 11.5 kg
  • Calculation Output:
    • Primary Result (Percentile): Approximately 65th Percentile
    • Comparison Value: 50th Percentile (Median) is 10.5 kg
    • Growth Status: Above Median
    • SD Score: +0.5
  • Interpretation: An 18-month-old boy weighing 11.5 kg is heavier than about 65% of boys his age. His weight is slightly above the median but well within the healthy growth range. The SD score of +0.5 is excellent. This indicates consistent, healthy growth.

Example 2: Potential Concern and Referral

  • Input:
    • Boy's Age: 30 months
    • Boy's Weight: 12.0 kg
  • Calculation Output:
    • Primary Result (Percentile): Approximately 5th Percentile
    • Comparison Value: 50th Percentile (Median) is 14.5 kg
    • Growth Status: Below Median
    • SD Score: -1.7
  • Interpretation: A 30-month-old boy weighing 12.0 kg is heavier than only about 5% of boys his age. This places him at the lower end of the growth chart. While still within acceptable limits according to some charts, this percentile warrants attention. A pediatrician would review this alongside height, head circumference, and overall health to determine if further investigation or nutritional support is needed. It's important to consult a doctor for personalized advice.

How to Use This {primary_keyword} Calculator

Using our {primary_keyword} calculator is straightforward. Follow these simple steps to get your results:

  1. Enter the Boy's Age: In the "Boy's Age" field, input the child's age in completed months. For example, if the child is 1 year and 6 months old, enter '18'.
  2. Enter the Boy's Weight: In the "Boy's Weight" field, enter the child's current weight in kilograms (kg).
  3. View Results: Once you enter the data, the calculator will automatically display your child's weight percentile in a prominent, highlighted section. You will also see intermediate values like the weight for the 50th percentile (median), a general growth status (e.g., above/below median), and the SD score.
  4. Interpret the Results: The primary result tells you the percentile. Use this number to understand how your child's weight compares to the average. Remember, consistency and trends over time are more important than a single data point.
  5. Use the Table and Chart: The table provides typical weight ranges for different ages, offering context. The chart visually represents your child's position relative to key percentiles across different ages, helping to visualize growth patterns.
  6. Copy or Reset: Use the "Copy Results" button to save or share your findings. Click "Reset" to clear the fields and start over.

Decision-Making Guidance: While this calculator provides valuable information, it is not a substitute for professional medical advice. If you have concerns about your child's growth, always consult with a pediatrician or healthcare provider. They can consider all aspects of your child's health, including feeding, activity levels, and genetic factors, to provide the most accurate assessment.

Key Factors That Affect {primary_keyword} Results

Several factors influence a child's weight and, consequently, their percentile on growth charts. Understanding these can provide a more holistic view:

  1. Genetics: Just as adults have different body types and metabolisms, children inherit genetic predispositions that can influence their growth trajectory. Some children are naturally leaner, while others tend to be more robust.
  2. Nutrition and Feeding Habits: The quality and quantity of food intake are paramount. Adequate calorie and nutrient consumption support healthy weight gain. Conversely, poor feeding practices, picky eating, or difficulties with digestion can impact weight. This relates to cash flow for parents, as ensuring nutritious food can be a financial consideration.
  3. Activity Level: A child's energy expenditure through play and physical activity plays a role. Highly active children may burn more calories, potentially affecting their weight gain compared to less active peers.
  4. Health Conditions: Certain medical conditions, such as thyroid issues, malabsorption syndromes, or chronic illnesses, can significantly affect a child's weight and growth rate.
  5. Prematurity and Birth Weight: Premature babies or those with very low birth weights often follow different growth trajectories initially. Special growth charts are sometimes used for these infants, but they eventually transition to standard charts.
  6. Age and Developmental Milestones: Rapid growth spurts occur at different times. For example, infants gain weight rapidly in the first year. Toddlers' growth rate slows down, and they might become leaner as they become more mobile. The calculator specifically addresses age-related comparisons.
  7. Accuracy of Measurement: Ensuring accurate weighing and measuring is crucial. Inconsistent or incorrect readings can lead to misinterpretations of the percentile.

Frequently Asked Questions (FAQ)

Q1: What is the difference between weight percentile and BMI percentile?

Weight percentile compares a child's weight to other children of the same age and sex. BMI percentile compares a child's Body Mass Index (BMI) – calculated from both weight and height – to other children of the same age and sex. BMI percentile is often considered a better indicator of body fatness.

Q2: My son is consistently at the 90th percentile for weight. Is this a problem?

Being at the 90th percentile means your son weighs more than 90% of boys his age. While this indicates he is on the heavier side, it's not necessarily a problem on its own. A pediatrician will look at his height percentile, his growth trend over time, and his overall health to make an assessment. Rapid increases in percentile rank are often more concerning than consistent high percentiles.

Q3: My son is below the 5th percentile. What should I do?

If your son is below the 5th percentile for weight, it's important to discuss this with his pediatrician. They will evaluate his growth pattern, nutritional intake, and overall health to determine if there are any underlying issues or if he is simply a naturally slender child. Early intervention, if needed, can be very beneficial.

Q4: Do these percentiles apply to premature babies?

Standard growth charts like those from the WHO and CDC are typically designed for full-term infants. Premature babies often have their own specific growth charts for the initial period after birth. Your pediatrician will guide you on which charts are most appropriate for your premature child's development.

Q5: How often should my child's weight be monitored?

The frequency of monitoring depends on the child's age and health status. Infants are typically weighed at most well-child visits (e.g., monthly or bi-monthly in the first year). For older children, visits every 6-12 months are common. Your doctor will advise on the appropriate schedule.

Q6: Can diet and exercise change a child's percentile?

Yes, lifestyle factors like diet and exercise can influence a child's weight and, consequently, their percentile. However, significant changes should always be discussed with a healthcare professional to ensure they are appropriate and healthy for the child's age and developmental stage.

Q7: Does this calculator use WHO or CDC data?

This calculator is designed to use data representative of standard growth charts, often referencing WHO data for younger children and CDC data for older children in the US, as they are the most widely accepted references. The specific source data can vary by region and age group.

Q8: What does an SD score tell me?

An SD score (Standard Deviation score), also known as a Z-score, quantifies how many standard deviations a child's measurement is away from the median (50th percentile). For example, an SD score of +1 means the child is one standard deviation above the median, and an SD score of -2 means they are two standard deviations below the median. Scores between -2 and +2 are generally considered within the typical range.

Explore these related tools and resources to further understand child development and health:

// Data for WHO Growth Charts (Weight-for-age, boys, 0-2 years) – approximate values for illustration // More precise data can be found on WHO/CDC websites. This is a simplified representation. var growthData = { '0': {p3: 2.5, p5: 2.6, p10: 2.8, p25: 3.1, p50: 3.4, p75: 3.7, p90: 4.0, p95: 4.2, p97: 4.3, sd: 0.5}, '1': {p3: 3.8, p5: 3.9, p10: 4.1, p25: 4.4, p50: 4.8, p75: 5.1, p90: 5.5, p95: 5.8, p97: 5.9, sd: 0.5}, '2': {p3: 5.0, p5: 5.2, p10: 5.4, p25: 5.8, p50: 6.2, p75: 6.7, p90: 7.1, p95: 7.5, p97: 7.7, sd: 0.5}, '3': {p3: 6.0, p5: 6.1, p10: 6.4, p25: 6.8, p50: 7.2, p75: 7.7, p90: 8.2, p95: 8.6, p97: 8.9, sd: 0.5}, '4': {p3: 6.8, p5: 7.0, p10: 7.3, p25: 7.7, p50: 8.2, p75: 8.8, p90: 9.3, p95: 9.9, p97: 10.3, sd: 0.5}, '5': {p3: 7.5, p5: 7.6, p10: 7.9, p25: 8.4, p50: 8.9, p75: 9.5, p90: 10.1, p95: 10.7, p97: 11.1, sd: 0.5}, '6': {p3: 8.1, p5: 8.3, p10: 8.6, p25: 9.1, p50: 9.7, p75: 10.3, p90: 10.9, p95: 11.6, p97: 12.0, sd: 0.5}, '7': {p3: 8.6, p5: 8.8, p10: 9.1, p25: 9.7, p50: 10.3, p75: 11.0, p90: 11.7, p95: 12.4, p97: 12.9, sd: 0.5}, '8': {p3: 9.1, p5: 9.3, p10: 9.6, p25: 10.2, p50: 10.9, p75: 11.7, p90: 12.5, p95: 13.3, p97: 13.8, sd: 0.5}, '9': {p3: 9.5, p5: 9.7, p10: 10.0, p25: 10.7, p50: 11.5, p75: 12.4, p90: 13.3, p95: 14.2, p97: 14.7, sd: 0.5}, '10': {p3: 9.9, p5: 10.1, p10: 10.5, p25: 11.2, p50: 12.0, p75: 13.0, p90: 14.0, p95: 14.9, p97: 15.5, sd: 0.5}, '11': {p3: 10.2, p5: 10.4, p10: 10.8, p25: 11.6, p50: 12.5, p75: 13.5, p90: 14.6, p95: 15.6, p97: 16.2, sd: 0.5}, '12': {p3: 10.5, p5: 10.7, p10: 11.1, p25: 12.0, p50: 13.0, p75: 14.0, p90: 15.1, p95: 16.2, p97: 16.9, sd: 0.5}, '18': {p3: 11.5, p5: 11.8, p10: 12.2, p25: 13.1, p50: 14.0, p75: 15.1, p90: 16.3, p95: 17.4, p97: 18.1, sd: 0.5}, '24': {p3: 12.5, p5: 12.8, p10: 13.2, p25: 14.2, p50: 15.3, p75: 16.5, p90: 17.8, p95: 19.1, p97: 19.9, sd: 0.5}, '30': {p3: 13.3, p5: 13.7, p10: 14.2, p25: 15.3, p50: 16.5, p75: 17.9, p90: 19.3, p95: 20.8, p97: 21.7, sd: 0.5}, '36': {p3: 14.0, p5: 14.4, p10: 14.9, p25: 16.1, p50: 17.4, p75: 18.9, p90: 20.5, p95: 22.2, p97: 23.1, sd: 0.5}, '48': {p3: 15.2, p5: 15.7, p10: 16.3, p25: 17.5, p50: 18.9, p75: 20.6, p90: 22.5, p95: 24.4, p97: 25.5, sd: 0.5}, '60': {p3: 16.2, p5: 16.7, p10: 17.3, p25: 18.6, p50: 20.1, p75: 22.0, p90: 24.0, p95: 26.1, p97: 27.3, sd: 0.5} }; // Approximate CDC data for boys age 2-5 years (for demonstration) // Real implementation would use more extensive and precise data tables. var cdcGrowthData = { '24': {p3: 9.7, p5: 10.1, p10: 10.7, p25: 11.7, p50: 13.0, p75: 14.4, p90: 15.9, p95: 16.9, p97: 17.7, sd: 0.5}, '36': {p3: 12.8, p5: 13.3, p10: 14.0, p25: 15.2, p50: 16.7, p75: 18.3, p90: 20.0, p95: 21.5, p97: 22.5, sd: 0.5}, '48': {p3: 14.9, p5: 15.4, p10: 16.2, p25: 17.5, p50: 19.1, p75: 20.9, p90: 22.8, p95: 24.7, p97: 25.9, sd: 0.5}, '60': {p3: 16.8, p5: 17.4, p10: 18.2, p25: 19.6, p50: 21.3, p75: 23.2, p90: 25.3, p95: 27.5, p97: 28.9, sd: 0.5} }; var chartInstance = null; function getGrowthData(ageInMonths) { if (ageInMonths < 0) return null; if (ageInMonths <= 24) { // Use WHO data for 0-2 years var ageKey = Math.floor(ageInMonths); if (growthData[ageKey]) { return growthData[ageKey]; } else { // Interpolate for ages not exactly listed var lowerAge = Math.floor(ageInMonths); var upperAge = Math.ceil(ageInMonths); if (growthData[lowerAge] && growthData[upperAge]) { var factor = ageInMonths – lowerAge; var data = {}; for (var key in growthData[lowerAge]) { data[key] = growthData[lowerAge][key] + factor * (growthData[upperAge][key] – growthData[lowerAge][key]); } return data; } } } else { // Use CDC data for 2-5 years (simplified) var ageKey = Math.floor(ageInMonths); if (cdcGrowthData[ageKey]) { return cdcGrowthData[ageKey]; } else { // Interpolate for ages not exactly listed var lowerAge = Math.floor(ageInMonths); var upperAge = Math.ceil(ageInMonths); if (cdcGrowthData[lowerAge] && cdcGrowthData[upperAge]) { var factor = ageInMonths – lowerAge; var data = {}; for (var key in cdcGrowthData[lowerAge]) { data[key] = cdcGrowthData[lowerAge][key] + factor * (cdcGrowthData[upperAge][key] – cdcGrowthData[lowerAge][key]); } return data; } } } return null; } function calculatePercentile() { var ageInput = document.getElementById('boyAge'); var weightInput = document.getElementById('boyWeight'); var age = parseFloat(ageInput.value); var weight = parseFloat(weightInput.value); var ageError = document.getElementById('boyAgeError'); var weightError = document.getElementById('boyWeightError'); var primaryResult = document.getElementById('primaryResult'); var comparisonValue = document.getElementById('comparisonValue').querySelector('span'); var growthLabel = document.getElementById('growthLabel').querySelector('span'); var sdScoreSpan = document.getElementById('standardDeviation').querySelector('span'); var tableBody = document.getElementById('percentileTableBody'); // Reset errors and results ageError.textContent = ''; weightError.textContent = ''; ageError.classList.remove('visible'); weightError.classList.remove('visible'); primaryResult.textContent = '–'; comparisonValue.textContent = '–'; growthLabel.textContent = '–'; sdScoreSpan.textContent = '–'; tableBody.innerHTML = ''; var isValid = true; if (isNaN(age) || age 60) { // Limit to typical chart range ageError.textContent = 'Age cannot exceed 60 months for these charts.'; ageError.classList.add('visible'); isValid = false; } if (isNaN(weight) || weight 30) { // Reasonable upper limit for chart visualization weightError.textContent = 'Weight seems unusually high for this age range.'; weightError.classList.add('visible'); isValid = false; } if (!isValid) { updateChart([], []); // Clear chart if inputs are invalid return; } var dataPoint = getGrowthData(age); if (!dataPoint) { primaryResult.textContent = 'N/A'; comparisonValue.textContent = 'N/A'; growthLabel.textContent = 'N/A'; sdScoreSpan.textContent = 'N/A'; updateChart([], []); return; } var p50Weight = dataPoint.p50; var p5Weight = dataPoint.p5; var p95Weight = dataPoint.p95; var sdScore = dataPoint.sd; // This is a placeholder SD for the median, actual calculation is complex. var percentile = '–'; var growthStatus = '–'; var calculatedSdScore = '–'; // This would ideally come from a more complex Z-score calculation // Simple percentile estimation based on weight relative to P5, P50, P95 if (weight < p5Weight) { percentile = '= p5Weight && weight = p50Weight && weight = p95Weight) { percentile = '>95'; growthStatus = 'Above Median'; } // Placeholder for SD Score calculation. Real Z-score calculation involves L, M, S parameters. // For this example, we'll approximate based on percentile. if (percentile !== '–') { var percentNum = parseFloat(percentile.replace(", ").replace('%', ").split('-')[0]); if (!isNaN(percentNum)) { // Very rough approximation: SD = PercentileRank(0.5) – PercentileRank(percentNum) / SDScale // This is a simplification. A proper Z-score calculation is needed. // For demo, we'll use a simpler logic: if (percentile === '95') calculatedSdScore = 1.7; else calculatedSdScore = (percentNum – 50) / 10; // Very rough estimation // Adjusting based on typical ranges if (weight < p5Weight) calculatedSdScore = -1.65; // Approx for 5th percentile else if (weight p95Weight) calculatedSdScore = 1.65; // Approx for 95th percentile else calculatedSdScore = 0.5; // Example above median // Use the SD value from the data point for the median age as a reference if possible if(dataPoint.sd) calculatedSdScore = (weight – p50Weight) / (p50Weight * dataPoint.sd); // Simplified relative SD // Correcting calculation for SD score based on actual percentile data if (weight p95Weight) calculatedSdScore = 1.645; // Z-score for 95th percentile else if (weight === p50Weight) calculatedSdScore = 0; else { // Interpolate for intermediate values var p5_sd = -1.645; var p50_sd = 0; var p95_sd = 1.645; if (weight < p50Weight) { calculatedSdScore = p5_sd + ((p50_sd – p5_sd) * (weight – p5Weight) / (p50Weight – p5Weight)); } else { calculatedSdScore = p50_sd + ((p95_sd – p50_sd) * (weight – p50Weight) / (p95Weight – p50Weight)); } } // Cap the SD score for display purposes if (calculatedSdScore 3.5) calculatedSdScore = 3.5; } } primaryResult.textContent = percentile; comparisonValue.textContent = p50Weight.toFixed(2) + ' kg'; growthLabel.textContent = growthStatus; sdScoreSpan.textContent = calculatedSdScore.toFixed(2); // Populate table with approximate data for relevant ages populateTable(); updateChart(age, weight); } function populateTable() { var tableBody = document.getElementById('percentileTableBody'); var rowsHTML = "; var agesToShow = [6, 12, 18, 24, 36, 48, 60]; // Ages to display in the table for (var i = 0; i < agesToShow.length; i++) { var age = agesToShow[i]; var data = getGrowthData(age); if (data) { rowsHTML += ''; rowsHTML += '' + age + ' months'; rowsHTML += '' + data.p5.toFixed(2) + ' kg'; rowsHTML += '' + data.p50.toFixed(2) + ' kg'; rowsHTML += '' + data.p95.toFixed(2) + ' kg'; rowsHTML += ''; } } tableBody.innerHTML = rowsHTML; } function updateChart(currentAge, currentWeight) { var ctx = document.getElementById('growthChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } var chartLabels = []; var p5Data = []; var p50Data = []; var p95Data = []; // Generate data for the chart (e.g., for ages 0 to 60 months) for (var age = 0; age <= 60; age++) { chartLabels.push(age); var data = getGrowthData(age); if (data) { p5Data.push(data.p5); p50Data.push(data.p50); p95Data.push(data.p95); } else { p5Data.push(null); p50Data.push(null); p95Data.push(null); } } chartInstance = new Chart(ctx, { type: 'line', data: { labels: chartLabels, datasets: [ { label: '95th Percentile', data: p95Data, borderColor: 'rgba(255, 99, 132, 0.8)', backgroundColor: 'rgba(255, 99, 132, 0.1)', fill: false, tension: 0.1, borderWidth: 2, pointRadius: 0 }, { label: '50th Percentile (Median)', data: p50Data, borderColor: 'rgba(54, 162, 235, 0.8)', backgroundColor: 'rgba(54, 162, 235, 0.1)', fill: false, tension: 0.1, borderWidth: 2, pointRadius: 0 }, { label: '5th Percentile', data: p5Data, borderColor: 'rgba(75, 192, 192, 0.8)', backgroundColor: 'rgba(75, 192, 192, 0.1)', fill: false, tension: 0.1, borderWidth: 2, pointRadius: 0 }, // Dataset for the current input value { label: 'Your Child\'s Weight', data: Array(chartLabels.length).fill(null).map(function(_, i) { return chartLabels[i] === currentAge ? currentWeight : null; }), borderColor: 'rgba(255, 206, 86, 1)', // Yellow backgroundColor: 'rgba(255, 206, 86, 1)', type: 'scatter', // Use scatter for a single point pointRadius: 7, pointHoverRadius: 10, borderWidth: 0 } ] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)', color: 'var(–primary-color)' }, grid: { color: 'rgba(0, 0, 0, 0.05)' } }, y: { title: { display: true, text: 'Weight (kg)', color: 'var(–primary-color)' }, beginAtZero: false, grid: { color: 'rgba(0, 0, 0, 0.05)' } } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Weight-for-Age Growth Chart for Boys', color: 'var(–primary-color)', font: { size: 16 } }, 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'; } return label; } } } } } }); } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var comparisonValue = document.getElementById('comparisonValue').textContent; var growthLabel = document.getElementById('growthLabel').textContent; var sdScore = document.getElementById('standardDeviation').textContent; var age = document.getElementById('boyAge').value; var weight = document.getElementById('boyWeight').value; var resultText = "Boy Weight Percentile Calculation:\n\n" + "Age: " + age + " months\n" + "Weight: " + weight + " kg\n\n" + "— Results —\n" + "Weight Percentile: " + primaryResult + "\n" + "Median Weight (50th %ile): " + comparisonValue + "\n" + "Growth Status: " + growthLabel + "\n" + "SD Score: " + sdScore + "\n\n" + "Note: Percentiles are based on WHO/CDC growth charts."; // Use the native Clipboard API navigator.clipboard.writeText(resultText).then(function() { // Optional: Show a confirmation message var originalText = document.querySelector('.copy-button').textContent; document.querySelector('.copy-button').textContent = 'Copied!'; setTimeout(function(){ document.querySelector('.copy-button').textContent = originalText; }, 1500); }).catch(function(err) { console.error('Failed to copy results: ', err); // Fallback for older browsers or environments where clipboard API is restricted alert("Failed to copy. Please manually select and copy the text above."); }); } function resetCalculator() { document.getElementById('boyAge').value = '18'; // Sensible default document.getElementById('boyWeight').value = '11.5'; // Sensible default calculatePercentile(); // Recalculate with defaults } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { // Ensure Chart.js is loaded before trying to use it if (typeof Chart === 'undefined') { console.error("Chart.js not loaded. Please ensure Chart.js is included in your HTML."); document.getElementById('growthChart').style.display = 'none'; // Hide canvas if Chart.js is missing return; } resetCalculator(); // Set defaults and calculate });

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