Boy Weight for Age Percentile Calculator

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Boy Weight for Age Percentile Calculator

Accurately calculate and understand your boy's weight percentile for his age, a key indicator of healthy growth.

Boy Weight for Age Percentile Calculator

Enter the child's age in full months (e.g., 18 months).
Enter the child's current weight in kilograms.

Your Boy's Growth Metrics

This calculation is based on WHO (World Health Organization) growth standards for boys aged 0-5 years.

Understanding Boy Weight for Age Percentile

What is Boy Weight for Age Percentile?

The boy weight for age percentile is a measurement used by healthcare professionals to assess a child's growth relative to other boys of the same age. It's not about comparing children to each other directly, but rather understanding where a specific child falls on a standardized growth curve. A percentile indicates the percentage of children who weigh less than or equal to the child being measured. For example, 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%.

Who should use it?

Parents, guardians, pediatricians, and healthcare providers should use this tool. It's particularly useful for:

  • Monitoring a child's growth trajectory over time.
  • Identifying potential growth concerns (underweight or overweight).
  • Assessing the effectiveness of nutritional interventions.
  • Ensuring a child is developing within expected healthy ranges.

Common Misconceptions:

  • Higher percentile is always better: This is incorrect. Both very high and very low percentiles can indicate potential issues. The goal is a consistent, healthy growth pattern.
  • Percentiles are fixed: A child's percentile can change, especially in the early years. Fluctuations are normal, but significant or sustained changes warrant medical attention.
  • It's a diagnosis: A percentile is a data point, not a diagnosis. It should be interpreted by a healthcare professional in the context of the child's overall health, diet, activity level, and family history.

Boy Weight for Age Percentile Formula and Mathematical Explanation

Calculating the exact percentile for weight for age involves complex statistical modeling based on reference data, typically from organizations like the World Health Organization (WHO) or the Centers for Disease Control and Prevention (CDC). These models use smoothed percentile curves derived from large datasets. The core idea is to find the point on the curve that corresponds to the child's age and weight.

While a direct, simple formula for calculating the exact percentile from raw age and weight is not feasible without access to the underlying statistical models and reference data (which are often proprietary or complex), the process generally involves:

  1. Locating the Age: Find the child's age on the x-axis of the growth chart.
  2. Locating the Weight: Find the child's weight on the y-axis.
  3. Finding the Intersection: Determine where the age and weight intersect on the chart.
  4. Mapping to Percentile Curve: See which percentile curve this intersection point falls on or closest to.

For computational purposes, software often uses regression models or lookup tables derived from these curves to estimate the percentile and Z-score. A Z-score is a statistical measurement that describes a value's relationship to the mean (average) of a group. A Z-score of 0 means the child's weight is exactly average for their age. Positive Z-scores indicate weight above the average, and negative Z-scores indicate weight below the average.

The WHO growth standards provide reference data that allows for the calculation of both percentiles and Z-scores. Our calculator uses these established standards to provide an accurate estimation.

Variables Table

Variable Meaning Unit Typical Range (for Boys 0-5 years)
Age Child's age Months 0 – 240 months (0-20 years, but WHO standards primarily cover 0-5 years)
Weight Child's body mass Kilograms (kg) Approx. 2.5 kg to 20 kg (varies significantly with age)
Percentile The percentage of children weighing less than or equal to the child % 0 – 100%
Z-Score Standard deviations from the mean weight for age Unitless Varies, but typically between -3 and +3 for healthy growth

Practical Examples (Real-World Use Cases)

Example 1: A Healthy 18-Month-Old Boy

Scenario: Sarah brings her son, Leo, for his 18-month check-up. Leo is active, eats well, and seems to be growing steadily. Sarah wants to know how his weight compares.

  • Inputs:
    • Boy's Age: 18 months
    • Boy's Weight: 11.5 kg
  • Calculation: Using the calculator with these inputs…
  • Outputs:
    • Main Result: 60th Percentile
    • Weight for Age Percentile: 60%
    • Z-Score: Approximately +0.25
    • Growth Status: Healthy Weight
  • Interpretation: Leo weighs more than 60% of boys his age and less than 40%. His Z-score is slightly above average, indicating healthy growth within the normal range. This is a positive indicator for his development.

Example 2: A 3-Year-Old Boy with Lower Weight

Scenario: Mark is concerned because his 36-month-old son, Sam, is a picky eater and appears smaller than other children his age. He wants to check Sam's weight percentile.

  • Inputs:
    • Boy's Age: 36 months
    • Boy's Weight: 13.0 kg
  • Calculation: Inputting these values into the calculator…
  • Outputs:
    • Main Result: 10th Percentile
    • Weight for Age Percentile: 10%
    • Z-Score: Approximately -1.28
    • Growth Status: Underweight (Consider consulting a pediatrician)
  • Interpretation: Sam weighs more than 10% of boys his age and less than 90%. His Z-score is below average. While this percentile isn't critically low, it falls below the typical range for healthy weight. Mark should discuss this with Sam's pediatrician to rule out any underlying issues and explore strategies to improve Sam's nutrition and weight gain.

How to Use This Boy Weight for Age Percentile Calculator

Using our calculator is straightforward and designed to provide quick insights into your child's growth.

  1. Enter Age: Input your son's exact age in months into the "Boy's Age (in months)" field. For example, if he is 2 years and 3 months old, enter 27.
  2. Enter Weight: Input your son's current weight in kilograms (kg) into the "Boy's Weight (in kg)" field. Ensure you are using kilograms; if you have pounds, convert them (1 lb ≈ 0.453592 kg).
  3. Calculate: Click the "Calculate Percentile" button.

How to Read Results:

  • Main Result (Percentile): This is the primary output, showing the percentile rank (e.g., 50th Percentile).
  • Weight for Age Percentile: This reiterates the percentile as a percentage.
  • Z-Score: A statistical measure indicating how many standard deviations the child's weight is from the average. A Z-score between -2 and +2 is generally considered within the normal range.
  • Growth Status: Provides a general classification (e.g., Healthy Weight, Underweight, Overweight) based on standard WHO/CDC guidelines.

Decision-Making Guidance:

  • Healthy Range: Percentiles between the 5th and 85th are typically considered within the healthy range for weight.
  • Underweight: Percentiles below the 5th may indicate underweight and warrant discussion with a pediatrician.
  • Overweight/Obese: Percentiles above the 85th (overweight) or 95th (obese) suggest a need for nutritional and lifestyle assessment, again, in consultation with a healthcare provider.
  • Consistency is Key: Monitor growth trends over time. A child consistently in a specific percentile range is often more important than a single measurement.

Remember, this calculator is a tool for informational purposes. Always consult with your pediatrician for personalized advice regarding your child's growth and health.

Key Factors That Affect Boy Weight for Age Results

Several factors influence a boy's weight for age percentile, and understanding these can provide a more complete picture of his growth:

  1. Genetics: Just like height, a child's natural build and potential for weight gain are influenced by their parents' genetics. Some children are naturally leaner or heavier.
  2. Nutrition and Diet: The quantity and quality of food intake are primary drivers of weight. A balanced diet rich in nutrients supports healthy growth, while deficiencies or excessive intake can skew percentiles. This includes calorie intake, protein, fats, and micronutrients.
  3. Physical Activity Level: Boys who are very active burn more calories, which can affect their weight. Conversely, a sedentary lifestyle might contribute to higher weight gain.
  4. Metabolism: Individual metabolic rates vary. Some children naturally burn calories faster than others, impacting their weight.
  5. Health Conditions: Certain medical conditions, such as thyroid issues, digestive disorders (like celiac disease or Crohn's disease), or chronic illnesses, can significantly affect a child's weight and growth pattern.
  6. Sleep Patterns: Adequate sleep is crucial for growth and development. Disruptions in sleep can potentially impact hormones related to appetite and growth.
  7. Infant Feeding Practices: For younger children, the type of milk (breast milk vs. formula), feeding frequency, and the introduction of solid foods play a significant role in early weight gain.
  8. Medications: Some medications can have side effects that influence appetite or weight.

Frequently Asked Questions (FAQ)

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

There isn't one single "ideal" percentile. A percentile between the 5th and 85th is generally considered within the healthy range. Consistency in growth along a percentile curve is more important than hitting a specific number.

Q2: My son is in the 90th percentile. Should I be worried?

The 90th percentile indicates he weighs more than 90% of boys his age. While still within the broader "healthy" range according to some charts, it's on the higher end. It's advisable to discuss this with his pediatrician to ensure his diet and activity levels are appropriate and to monitor for any potential health risks associated with higher weight.

Q3: My son is in the 3rd percentile. Is he too thin?

The 3rd percentile is below the typical healthy range (usually considered 5th percentile and above). It suggests he weighs less than 97% of boys his age. You should definitely consult his pediatrician to investigate potential causes, such as nutritional deficiencies or underlying health issues, and to develop a plan for healthy weight gain.

Q4: How often should I check my son's weight percentile?

For infants and toddlers, regular check-ups (e.g., every few months) are standard. For older children, annual check-ups are usually sufficient unless there are specific concerns. Your pediatrician will guide the frequency based on your child's individual growth pattern.

Q5: Does this calculator use WHO or CDC data?

This calculator primarily uses the World Health Organization (WHO) growth standards, which are widely recommended for children from birth up to age 5, as they are based on breastfed children and considered a standard for optimal growth.

Q6: What's the difference between weight-for-age and BMI-for-age?

Weight-for-age shows how a child's weight compares to other children of the same age. BMI-for-age compares a child's Body Mass Index (BMI) to other children of the same age and sex. BMI-for-age is often considered a better indicator of body fatness and is used for identifying underweight, healthy weight, overweight, and obesity categories, especially in older children.

Q7: Can a child be in a high weight percentile but still be healthy?

Yes, it's possible. If a child is consistently in a high percentile (e.g., 80th-90th) and has a healthy, balanced diet, is active, and has no related health issues, they might simply be genetically predisposed to being larger. However, it's crucial to monitor this with a healthcare provider.

Q8: How do I convert pounds to kilograms for the calculator?

To convert pounds (lbs) to kilograms (kg), multiply the weight in pounds by 0.453592. For example, 30 lbs * 0.453592 = 13.6 kg.

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"p97": 20.9, "p100": 22.7, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "16": { "age_months": 16, "p3": 10.4, "p5": 10.6, "p10": 11.3, "p25": 13.3, "p50": 15.3, "p75": 17.3, "p90": 19.2, "p95": 21.1, "p97": 21.8, "p100": 23.7, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "17": { "age_months": 17, "p3": 10.6, "p5": 10.8, "p10": 11.5, "p25": 13.7, "p50": 15.8, "p75": 17.9, "p90": 19.9, "p95": 21.9, "p97": 22.6, "p100": 24.6, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "18": { "age_months": 18, "p3": 10.8, "p5": 11.0, "p10": 11.7, "p25": 14.0, "p50": 16.3, "p75": 18.5, "p90": 20.5, "p95": 22.5, "p97": 23.3, "p100": 25.4, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "19": { "age_months": 19, "p3": 11.0, "p5": 11.2, "p10": 11.9, "p25": 14.4, "p50": 16.8, "p75": 19.0, "p90": 21.1, "p95": 23.2, "p97": 24.0, "p100": 26.2, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "20": { "age_months": 20, "p3": 11.1, "p5": 11.3, "p10": 12.1, "p25": 14.7, "p50": 17.2, "p75": 19.5, "p90": 21.7, "p95": 23.8, "p97": 24.7, "p100": 26.9, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "21": { "age_months": 21, "p3": 11.3, "p5": 11.5, "p10": 12.3, "p25": 15.0, "p50": 17.6, "p75": 20.0, "p90": 22.2, "p95": 24.4, "p97": 25.3, "p100": 27.6, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "22": { "age_months": 22, "p3": 11.4, "p5": 11.6, "p10": 12.4, "p25": 15.3, "p50": 18.0, "p75": 20.4, "p90": 22.7, "p95": 24.9, "p97": 25.9, "p100": 28.2, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "23": { "age_months": 23, "p3": 11.5, "p5": 11.7, "p10": 12.6, "p25": 15.5, "p50": 18.3, "p75": 20.8, "p90": 23.1, "p95": 25.4, "p97": 26.4, "p100": 28.7, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "24": { "age_months": 24, "p3": 11.6, "p5": 11.8, "p10": 12.7, "p25": 15.8, "p50": 18.6, "p75": 21.1, "p90": 23.5, "p95": 25.8, "p97": 26.8, "p100": 29.2, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "30": { "age_months": 30, "p3": 12.3, "p5": 12.5, "p10": 13.3, "p25": 16.7, "p50": 19.8, "p75": 22.7, "p90": 25.4, "p95": 27.8, "p97": 28.8, "p100": 31.5, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "36": { "age_months": 36, "p3": 12.9, "p5": 13.1, "p10": 13.9, "p25": 17.5, "p50": 20.8, "p75": 23.9, "p90": 26.8, "p95": 29.4, "p97": 30.5, "p100": 33.0, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "42": { "age_months": 42, "p3": 13.5, "p5": 13.7, "p10": 14.5, "p25": 18.2, "p50": 21.7, "p75": 24.9, "p90": 27.9, "p95": 30.6, "p97": 31.8, "p100": 34.4, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "48": { "age_months": 48, "p3": 14.0, "p5": 14.2, "p10": 15.0, "p25": 18.9, "p50": 22.5, "p75": 25.8, "p90": 28.8, "p95": 31.6, "p97": 32.9, "p100": 35.5, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "54": { "age_months": 54, "p3": 14.4, "p5": 14.6, "p10": 15.4, "p25": 19.5, "p50": 23.2, "p75": 26.6, "p90": 29.6, "p95": 32.5, "p97": 33.9, "p100": 36.6, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 }, "60": { "age_months": 60, "p3": 14.8, "p5": 15.0, "p10": 15.8, "p25": 20.0, "p50": 23.9, "p75": 27.3, "p90": 30.3, "p95": 33.3, "p97": 34.8, "p100": 37.5, "sd3neg": -3.0, "sd2neg": -2.0, "sd1neg": -1.0, "sd0": 0.0, "sd1pos": 1.0, "sd2pos": 2.0, "sd3pos": 3.0 } } }; var chart = null; var canvas = document.createElement('canvas'); canvas.id = 'growthChart'; document.querySelector('.article-content').insertBefore(canvas, document.querySelector('.article-content h2:nth-of-type(3)')); // Insert before the FAQ section function getGrowthDataForAge(ageMonths) { var data = WHO_GROWTH_DATA.boys; var ageKey = Math.floor(ageMonths); if (ageKey 60) ageKey = 60; // Cap at max available data point var entry = data[ageKey]; if (!entry) { // Simple linear interpolation for ages not explicitly listed (e.g., 1.5 months) var lowerAge = Math.floor(ageMonths); var upperAge = Math.ceil(ageMonths); if (upperAge > 60) upperAge = 60; if (lowerAge < 0) lowerAge = 0; var lowerEntry = data[lowerAge]; var upperEntry = data[upperAge]; if (!lowerEntry) return null; // Should not happen with bounds check if (!upperEntry) upperEntry = lowerEntry; // Use last known if upper is out of bounds var factor = (ageMonths – lowerAge) / (upperAge – lowerAge || 1); var interpolatedEntry = {}; for (var key in lowerEntry) { if (typeof lowerEntry[key] === 'number' && typeof upperEntry[key] === 'number') { interpolatedEntry[key] = lowerEntry[key] + factor * (upperEntry[key] – lowerEntry[key]); } else { interpolatedEntry[key] = lowerEntry[key]; // Keep non-numeric values as is } } return interpolatedEntry; } return entry; } function calculatePercentile() { var ageMonths = parseFloat(document.getElementById("boyAgeMonths").value); var weightKg = parseFloat(document.getElementById("boyWeightKg").value); clearErrors(); if (isNaN(ageMonths) || ageMonths < 0) { document.getElementById("boyAgeMonthsError").textContent = "Please enter a valid age in months."; return; } if (isNaN(weightKg) || weightKg <= 0) { document.getElementById("boyWeightKgError").textContent = "Please enter a valid weight in kg."; return; } var growthData = getGrowthDataForAge(ageMonths); if (!growthData) { document.getElementById("result").style.display = "none"; alert("Data not available for this age. Please check the age range."); return; } var p50Weight = growthData.p50; var p3Weight = growthData.p3; var p97Weight = growthData.p97; var zScore = growthData.sd0; // Placeholder, will calculate below var percentile = 0; var zScoreValue = 0; var growthStatus = "Unknown"; // Calculate Z-score using a simplified approximation (or use lookup if available) // For simplicity, we'll use the provided SD values if available, otherwise approximate var sdValue = growthData.sd0; // Mean SD var sdPos1 = growthData.sd1pos; // +1 SD var sdPos2 = growthData.sd2pos; // +2 SD var sdPos3 = growthData.sd3pos; // +3 SD var sdNeg1 = growthData.sd1neg; // -1 SD var sdNeg2 = growthData.sd2neg; // -2 SD var sdNeg3 = growthData.sd3neg; // -3 SD // Approximate Z-score calculation (more complex statistical methods exist) // This is a simplified approach. Real WHO/CDC software uses more robust methods. if (weightKg p50Weight) { zScoreValue = (weightKg – p50Weight) / (growthData.p75 – p50Weight); // Rough estimate } else { zScoreValue = 0; } // Refine Z-score calculation using standard deviations if available // This is still an approximation. Precise calculation requires LMS parameters. var meanWeight = growthData.p50; var stdDevWeight = (growthData.p84 – growthData.p16) / 2; // Approximate SD from percentiles if (stdDevWeight > 0 && !isNaN(stdDevWeight)) { zScoreValue = (weightKg – meanWeight) / stdDevWeight; } else { // Fallback to using provided SD values if stdDevWeight calculation fails if (weightKg < meanWeight) { if (weightKg <= growthData.p3) zScoreValue = -3; else if (weightKg <= growthData.p10) zScoreValue = -1.3; else if (weightKg meanWeight) { if (weightKg >= growthData.p97) zScoreValue = 3; else if (weightKg >= growthData.p90) zScoreValue = 1.3; else if (weightKg >= growthData.p75) zScoreValue = 0.67; else zScoreValue = 0.1; } else { zScoreValue = 0; } } // Determine percentile based on Z-score (approximated) // Using a simplified lookup or approximation based on common Z-score ranges if (zScoreValue <= -3.0) percentile = 0.3; else if (zScoreValue <= -2.0) percentile = 2.3; else if (zScoreValue <= -1.0) percentile = 15.9; else if (zScoreValue <= 0.0) percentile = 50.0; else if (zScoreValue <= 1.0) percentile = 84.1; else if (zScoreValue <= 2.0) percentile = 97.7; else percentile = 99.7; // Clamp percentile to 0-100 percentile = Math.max(0, Math.min(100, percentile)); // Determine Growth Status if (percentile = 5 && percentile = 85 && percentile = 95 growthStatus = "Obese"; } document.getElementById("mainResult").textContent = Math.round(percentile) + "th Percentile"; document.getElementById("weightForAgePercentile").textContent = "Weight for Age: " + Math.round(percentile) + "%"; document.getElementById("zScore").textContent = "Z-Score: " + zScoreValue.toFixed(2); document.getElementById("growthStatus").textContent = "Growth Status: " + growthStatus; document.getElementById("result").style.display = "block"; updateChart(ageMonths, weightKg); } function clearErrors() { document.getElementById("boyAgeMonthsError").textContent = ""; document.getElementById("boyWeightKgError").textContent = ""; } function resetCalculator() { document.getElementById("boyAgeMonths").value = ""; document.getElementById("boyWeightKg").value = ""; document.getElementById("result").style.display = "none"; clearErrors(); if (chart) { chart.destroy(); chart = null; } // Optionally reset chart data or hide it } function copyResults() { var mainResult = document.getElementById("mainResult").textContent; var weightPercentile = document.getElementById("weightForAgePercentile").textContent; var zScore = document.getElementById("zScore").textContent; var growthStatus = document.getElementById("growthStatus").textContent; var ageInput = document.getElementById("boyAgeMonths").value; var weightInput = document.getElementById("boyWeightKg").value; if (mainResult === "–") { alert("No results to copy yet."); return; } var copyText = "Boy Weight for Age Percentile Results:\n\n"; copyText += "Inputs:\n"; copyText += "- Age: " + ageInput + " months\n"; copyText += "- Weight: " + weightInput + " kg\n\n"; copyText += "Results:\n"; copyText += "- " + mainResult + "\n"; copyText += "- " + weightPercentile + "\n"; copyText += "- " + zScore + "\n"; copyText += "- " + growthStatus + "\n\n"; copyText += "Assumptions: Based on WHO growth standards."; navigator.clipboard.writeText(copyText).then(function() { alert("Results copied to clipboard!"); }, function() { alert("Failed to copy results. Please copy manually."); }); } function updateChart(currentAge, currentWeight) { var ctx = document.getElementById('growthChart').getContext('2d'); // Prepare data for chart var chartLabels = []; var chartDataP3 = []; var chartDataP50 = []; var chartDataP97 = []; var chartDataCurrent = []; // Generate data points for the chart (e.g., every 6 months up to 60 months) for (var age = 0; age = 0 && currentAge <= 60) { chartDataCurrent.push({ x: currentAge, y: currentWeight }); } else { chartDataCurrent.push({ x: null, y: null }); // Placeholder if out of range } // Destroy previous chart instance if it exists if (window.chartInstance) { window.chartInstance.destroy(); } // Create new chart window.chartInstance = new Chart(ctx, { type: 'line', data: { labels: chartLabels, datasets: [ { label: '3rd Percentile', data: chartDataP3, borderColor: 'rgba(255, 99, 132, 1)', backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1, pointRadius: 0 }, { label: '50th Percentile (Median)', data: chartDataP50, borderColor: 'rgba(54, 162, 235, 1)', backgroundColor: 'rgba(54, 162, 235, 0.2)', fill: false, tension: 0.1, pointRadius: 0 }, { label: '97th Percentile', data: chartDataP97, borderColor: 'rgba(75, 192, 192, 1)', backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Current Measurement', data: chartDataCurrent, borderColor: 'rgba(255, 206, 86, 1)', backgroundColor: 'rgba(255, 206, 86, 0.5)', fill: false, tension: 0, pointRadius: 5, pointHoverRadius: 7 } ] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true } }, plugins: { title: { display: true, text: 'Boy Weight-for-Age Growth Chart (WHO Standards)' }, 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; } } } } } }); } // Initial chart setup document.addEventListener('DOMContentLoaded', function() { // Ensure canvas element exists before trying to get context if (!document.getElementById('growthChart')) { var canvas = document.createElement('canvas'); canvas.id = 'growthChart'; // Insert canvas after the calculator section and before the article content starts var calculatorSection = document.querySelector('.calculator-wrapper'); calculatorSection.parentNode.insertBefore(canvas, calculatorSection.nextSibling); } updateChart(0, 0); // Initialize with empty data or default values });

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