Boys Weight Chart Calculator

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Boys Weight Chart Calculator

Understanding Healthy Growth for Boys

Boys Weight Calculator

Enter the child's age in total days (e.g., 30 days for 1 month, 90 for 3 months).
Enter the child's current weight in kilograms.
Male Female Select the child's sex.

Your Results

Weight for Age Percentile:
Interpretation:
WHO Growth Standard (50th Percentile): kg
Comparison to Average:
This calculator uses World Health Organization (WHO) growth standards to determine the weight-for-age percentile for boys. The percentile indicates the percentage of children in the reference population who weigh less than or equal to the child being measured.

WHO Weight-for-Age Chart (Example: Boys, 0-24 Months)

Weight-for-Age Percentiles for Boys (0-24 Months). Shows how your child's weight compares to WHO growth standards.
Age (Months) 3rd Percentile (kg) 15th Percentile (kg) 50th Percentile (kg) 85th Percentile (kg) 97th Percentile (kg)
Sample WHO weight-for-age data for boys. Actual chart data may vary slightly based on exact WHO dataset used.

Boys Weight Chart Calculator & Growth Guide

Understanding your child's growth is a crucial part of ensuring they are developing healthily. This is particularly true for weight, which is a key indicator of overall well-being. Our Boys Weight Chart Calculator is designed to help parents, guardians, and healthcare providers easily assess a boy's weight against established global standards. By inputting the child's age and weight, you can quickly determine their percentile and gain insights into their growth trajectory. This tool utilizes the World Health Organization (WHO) growth standards, which are widely recognized and used to monitor child growth worldwide.

What is a Boys Weight Chart Calculator?

A Boys Weight Chart Calculator is an online tool that helps estimate where a boy's weight falls on a standardized growth chart for his age. These charts are based on data collected from large populations of healthy children under specific conditions. The calculator takes your child's age (typically in months or days) and weight (in kilograms or pounds) and compares it to the typical weight ranges for boys of that same age according to the WHO growth standards. The primary output is usually a percentile, which is a statistical measure indicating that a child's weight is above a certain percentage of their peers.

Who should use it?

  • Parents and guardians concerned about their son's growth.
  • Pediatricians and healthcare professionals for routine check-ups and assessments.
  • Childcare providers who need to monitor the health and development of the children in their care.

Common misconceptions:

  • Misconception 1: Any weight within the chart is perfectly fine. While the chart shows a range, consistently being at the extreme low or high ends, or a sudden sharp deviation, might warrant a discussion with a healthcare provider. Growth is a dynamic process.
  • Misconception 2: Percentiles are a measure of health. A percentile is a comparison to peers. A child can be healthy at a low percentile and less healthy at a high percentile. Factors like overall development, activity level, and diet are equally important.
  • Misconception 3: The calculator replaces a doctor's advice. This tool is for informational purposes and general guidance. It cannot diagnose conditions or replace a professional medical evaluation.

Boys Weight Chart Calculator Formula and Mathematical Explanation

The core of a Boys Weight Chart Calculator relies on comparing the input weight and age against pre-defined reference data, most commonly the WHO growth standards. These standards are not derived from a single simple formula like a loan calculation but are empirical data sets representing distributions of weight for age. The calculator essentially finds the closest age point and interpolates or looks up the corresponding weight percentiles.

How it works (simplified):

  1. Input: Age (A) in days, Weight (W) in kg, Sex (S) – typically Male for this calculator.
  2. Data Reference: The calculator accesses a database or array containing WHO weight-for-age data for boys, usually segmented by age intervals.
  3. Lookup/Interpolation:
    • The input age (A) is converted to a comparable unit (e.g., months) if necessary.
    • The calculator finds the age range in the reference data that includes (A).
    • It then determines where (W) falls relative to the reference weights at that age. This often involves interpolation if the exact age isn't listed, or by finding the percentiles that bracket the child's weight.
    • The primary output is the calculated percentile (P), where P = (Number of children with weight ≤ W / Total number of children) * 100.
  4. Interpretation: The percentile (P) is then interpreted based on established ranges (e.g., 50th percentile is the median, below 3rd might be underweight, above 97th might be overweight).

Variables and Their Meaning:

Variable Meaning Unit Typical Range (for reference data)
Age (A) The child's age from birth. Days or Months 0 – 60 months (0 – 5 years)
Weight (W) The child's measured body weight. Kilograms (kg) 0.5 kg – 30 kg (approximate range for 0-5 years)
Sex (S) Biological sex of the child. Categorical (Male/Female) Male (as this calculator is specific)
Percentile (P) The child's weight ranking compared to peers. % 0% – 100%
Standard Weight (W_std) The median weight (50th percentile) for the given age. Kilograms (kg) Varies by age

Practical Examples (Real-World Use Cases)

Here are a couple of scenarios illustrating how the Boys Weight Chart Calculator can be used:

Example 1: Tracking a Toddler's Growth

Scenario: A parent is concerned that their 18-month-old son, Leo, seems smaller than other toddlers he plays with. Leo's current weight is measured at 9.8 kg.

  • Input: Age = 18 months (approx. 547 days), Weight = 9.8 kg, Sex = Male.
  • Calculator Output:
    • Weight for Age Percentile: 25th Percentile
    • Interpretation: Leo's weight is greater than 25% of boys his age according to WHO standards.
    • WHO Growth Standard (50th Percentile): Approximately 10.4 kg
    • Comparison to Average: Leo is slightly below the average weight for his age.
  • Financial/Decision Interpretation: While Leo is slightly below average, he is well within the healthy range (between the 3rd and 97th percentiles). This information reassures the parent. They might decide to monitor his diet and activity levels, perhaps ensuring he gets enough healthy fats and protein, but no immediate financial changes or drastic interventions are suggested by this data alone. The focus remains on consistent monitoring.

Example 2: Monitoring a Newborn's Weight Gain

Scenario: A newborn baby boy, Sam, is 5 days old and weighs 3.3 kg. The pediatrician wants to ensure he is gaining weight appropriately after birth.

  • Input: Age = 5 days, Weight = 3.3 kg, Sex = Male.
  • Calculator Output:
    • Weight for Age Percentile: 40th Percentile
    • Interpretation: Sam's weight is greater than 40% of boys his age according to WHO standards.
    • WHO Growth Standard (50th Percentile): Approximately 3.4 kg
    • Comparison to Average: Sam is close to the average weight for his age.
  • Financial/Decision Interpretation: Sam's weight is very close to the median, indicating excellent early growth. This suggests his feeding plan (breastfeeding or formula) is working well. There are no immediate financial concerns related to his weight gain, and the focus can remain on establishing a feeding routine. This percentile data supports the current feeding strategy.

How to Use This Boys Weight Chart Calculator

Using the Boys Weight Chart Calculator is straightforward. Follow these steps for accurate results:

  1. Measure Accurately: Ensure your son's weight is measured using a reliable scale. For infants, a baby scale is best. For older boys, a standard weight scale can be used. Try to measure at the same time of day if tracking trends.
  2. Record Age: Determine your son's exact age. The calculator requires age in days, so convert months and years if necessary (e.g., 1 year = 365 days, 1 month ≈ 30.4 days).
  3. Input Data: Enter the recorded age in days into the "Age (in Days)" field and the measured weight in kilograms into the "Weight (in Kilograms)" field. Ensure the "Sex" is set to "Male".
  4. Calculate: Click the "Calculate" button.
  5. Review Results: The calculator will display:
    • Main Result (Percentile): This is the primary indicator of your son's weight status relative to his peers.
    • Interpretation: A plain-language explanation of the percentile (e.g., "Above Average," "Average," "Below Average").
    • WHO Growth Standard (50th Percentile): The median weight for boys of that age, providing a benchmark.
    • Comparison to Average: A quick note on how the child's weight compares to the median.
  6. Understand the Chart and Table: Use the provided chart and table to visually see where your son's weight falls among different percentiles (3rd, 15th, 50th, 85th, 97th).
  7. Consult a Professional: If you have any concerns about your son's growth, always discuss the results with your pediatrician or a healthcare provider. They can consider the full picture of your child's health.

Decision-Making Guidance: The results help inform discussions with healthcare providers. A percentile consistently within the 3rd to 97th range is generally considered normal. Significant deviations or rapid changes might prompt further investigation into dietary habits, underlying health conditions, or genetic factors.

Key Factors That Affect Boys Weight Chart Results

Several factors can influence a boy's weight and how it plots on a growth chart. Understanding these helps in interpreting the results correctly:

  1. Genetics: Just like height, a child's genetic predisposition plays a significant role in their body frame and potential weight. Some boys are naturally leaner, while others tend to be heavier, even with similar diets and activity levels.
  2. Nutrition and Diet: This is perhaps the most direct influence. A balanced intake of macronutrients (proteins, carbohydrates, fats) and micronutrients is essential for healthy weight gain. Insufficient caloric intake can lead to being underweight, while excessive intake, particularly of processed foods and sugary drinks, can contribute to being overweight. This impacts immediate growth and long-term child nutrition planning.
  3. Physical Activity Level: Boys who are very active burn more calories, which can affect their weight. Conversely, a sedentary lifestyle can contribute to weight gain if caloric intake isn't adjusted accordingly.
  4. Health Conditions: Certain medical conditions, such as thyroid issues, gastrointestinal disorders, or chronic illnesses, can significantly impact a child's weight gain or loss. Early diagnosis and management are key.
  5. Prematurity or Birth Complications: Premature babies or those born with low birth weight may follow a different growth trajectory initially and may need specialized monitoring. Their adjusted age is often considered when plotting growth.
  6. Metabolism: Individual metabolic rates vary. Some boys naturally process food faster than others, affecting how easily they gain or lose weight. This is often linked to genetics.
  7. Sleep Patterns: Adequate sleep is crucial for growth and development, including hormone regulation that affects appetite and metabolism. Disrupted sleep can potentially impact weight.
  8. Medications: Certain medications can have side effects that influence appetite or metabolism, thereby affecting weight.

Frequently Asked Questions (FAQ)

About Boys' Growth and Weight Charts

Q1: What is the difference between weight-for-age and BMI-for-age?
Weight-for-age primarily shows how a child's weight compares to the median weight for their age. BMI-for-age considers both weight and height to assess weight status relative to age, offering a more comprehensive view, especially for identifying overweight or obesity.

Q2: Is it normal for my son's percentile to change over time?
Yes, some fluctuation is normal, especially in the first year or two. Children go through growth spurts. However, rapid or consistent drops or jumps across multiple major percentiles (e.g., from 75th to 25th) should be discussed with a pediatrician.

Q3: My son is consistently in the 90th percentile for weight. Is he overweight?
The 90th percentile for weight-for-age means he weighs more than 90% of boys his age. While this indicates he is on the higher end, it doesn't automatically mean he is overweight without considering his height (using BMI-for-age). Consult your doctor for a proper assessment.

Q4: My son is in the 10th percentile for weight. Is he underweight?
Being in the 10th percentile means he weighs more than 10% of boys his age. This is generally considered within the healthy range (typically below the 3rd percentile is a concern). However, a doctor will assess his overall health, energy levels, and diet.

Q5: Do WHO growth charts apply to all children worldwide?
WHO growth charts are considered the international standard for assessing growth in infants and young children (0-5 years) and are based on children from diverse ethnic backgrounds and socioeconomic settings who were breastfed. They represent an optimal growth potential.

Q6: How often should I track my son's weight?
For infants, regular check-ups (e.g., monthly for the first few months, then quarterly) are typical. For older children, annual check-ups are often sufficient unless there are specific concerns. Avoid weighing too frequently, as minor fluctuations are normal.

Q7: Can this calculator predict my son's adult weight?
No, this calculator cannot predict adult weight. Childhood growth patterns are complex and influenced by many factors that change throughout adolescence and adulthood.

Q8: What if my son has a medical condition affecting his weight?
If your son has a known medical condition that impacts his weight, this calculator provides only a very basic comparison. Always rely on your healthcare provider's specific guidance and growth charts tailored to his condition.

Related Tools and Internal Resources

// WHO Growth Standards Data (simplified for demonstration) // Data represents approximate weight in kg for boys at different ages in days // This is a simplified lookup; real-world applications use more complex models or precise datasets. var growthData = [ { days: 0, percentile_3: 2.5, percentile_15: 2.8, percentile_50: 3.2, percentile_85: 3.6, percentile_97: 4.0 }, { days: 30, percentile_3: 3.2, percentile_15: 3.6, percentile_50: 4.1, percentile_85: 4.6, percentile_97: 5.1 }, { days: 60, percentile_3: 4.0, percentile_15: 4.5, percentile_50: 5.1, percentile_85: 5.7, percentile_97: 6.3 }, { days: 90, percentile_3: 4.7, percentile_15: 5.3, percentile_50: 6.0, percentile_85: 6.7, percentile_97: 7.4 }, { days: 120, percentile_3: 5.3, percentile_15: 6.0, percentile_50: 6.8, percentile_85: 7.6, percentile_97: 8.4 }, { days: 150, percentile_3: 5.8, percentile_15: 6.6, percentile_50: 7.5, percentile_85: 8.4, percentile_97: 9.3 }, { days: 180, percentile_3: 6.2, percentile_15: 7.1, percentile_50: 8.0, percentile_85: 9.0, percentile_97: 10.0 }, { days: 210, percentile_3: 6.6, percentile_15: 7.5, percentile_50: 8.5, percentile_85: 9.5, percentile_97: 10.6 }, { days: 240, percentile_3: 6.9, percentile_15: 7.9, percentile_50: 8.9, percentile_85: 10.0, percentile_97: 11.1 }, { days: 270, percentile_3: 7.2, percentile_15: 8.2, percentile_50: 9.3, percentile_85: 10.5, percentile_97: 11.7 }, { days: 300, percentile_3: 7.5, percentile_15: 8.5, percentile_50: 9.7, percentile_85: 11.0, percentile_97: 12.2 }, { days: 330, percentile_3: 7.7, percentile_15: 8.8, percentile_50: 10.0, percentile_85: 11.4, percentile_97: 12.7 }, { days: 365, percentile_3: 8.0, percentile_15: 9.1, percentile_50: 10.4, percentile_85: 11.8, percentile_97: 13.2 }, // ~1 year { days: 450, percentile_3: 8.6, percentile_15: 9.7, percentile_50: 11.2, percentile_85: 12.7, percentile_97: 14.2 }, { days: 540, percentile_3: 9.1, percentile_15: 10.3, percentile_50: 11.9, percentile_85: 13.5, percentile_97: 15.1 }, // ~18 months { days: 600, percentile_3: 9.4, percentile_15: 10.6, percentile_50: 12.3, percentile_85: 14.0, percentile_97: 15.7 }, { days: 720, percentile_3: 10.0, percentile_15: 11.2, percentile_50: 13.1, percentile_85: 14.9, percentile_97: 16.8 }, // ~2 years { days: 900, percentile_3: 10.7, percentile_15: 12.0, percentile_50: 14.1, percentile_85: 16.1, percentile_97: 18.2 }, { days: 1080, percentile_3: 11.4, percentile_15: 12.7, percentile_50: 14.9, percentile_85: 17.0, percentile_97: 19.5 }, // ~3 years { days: 1260, percentile_3: 12.0, percentile_15: 13.4, percentile_50: 15.8, percentile_85: 18.0, percentile_97: 20.8 }, { days: 1440, percentile_3: 12.6, percentile_15: 14.1, percentile_50: 16.7, percentile_85: 19.0, percentile_97: 21.9 }, // ~4 years { days: 1620, percentile_3: 13.2, percentile_15: 14.7, percentile_50: 17.4, percentile_85: 19.9, percentile_97: 23.0 }, { days: 1800, percentile_3: 13.7, percentile_15: 15.3, percentile_50: 18.2, percentile_85: 20.8, percentile_97: 24.0 }, // ~5 years { days: 1980, percentile_3: 14.2, percentile_15: 15.9, percentile_50: 19.0, percentile_85: 21.7, percentile_97: 25.0 }, { days: 2160, percentile_3: 14.7, percentile_15: 16.5, percentile_50: 19.8, percentile_85: 22.6, percentile_97: 26.0 }, // ~6 years ]; var chartInstance = null; // To hold the chart instance function clearErrors() { document.getElementById('ageDaysError').textContent = "; document.getElementById('weightKgError').textContent = "; } function validateInputs() { var ageDays = parseFloat(document.getElementById('ageDays').value); var weightKg = parseFloat(document.getElementById('weightKg').value); var isValid = true; clearErrors(); if (isNaN(ageDays) || ageDays 2190) { // Approx 6 years document.getElementById('ageDaysError').textContent = 'This calculator is intended for ages up to 6 years.'; isValid = false; } if (isNaN(weightKg) || weightKg 30) { // A reasonable upper limit for the age range document.getElementById('weightKgError').textContent = 'Weight seems unusually high for the typical age range. Please double-check.'; isValid = false; } return isValid; } function getGrowthDataForAge(ageInDays) { if (ageInDays < growthData[0].days) { return growthData[0]; // Before first data point } for (var i = 0; i = growthData[i].days && ageInDays < growthData[i+1].days) { // Linear interpolation var d1 = growthData[i]; var d2 = growthData[i+1]; var fraction = (ageInDays – d1.days) / (d2.days – d1.days); var interpolated = { days: ageInDays, percentile_3: d1.percentile_3 + fraction * (d2.percentile_3 – d1.percentile_3), percentile_15: d1.percentile_15 + fraction * (d2.percentile_15 – d1.percentile_15), percentile_50: d1.percentile_50 + fraction * (d2.percentile_50 – d1.percentile_50), percentile_85: d1.percentile_85 + fraction * (d2.percentile_85 – d1.percentile_85), percentile_97: d1.percentile_97 + fraction * (d2.percentile_97 – d1.percentile_97) }; return interpolated; } } return growthData[growthData.length – 1]; // After last data point } function calculatePercentile(weightKg, ageData) { if (!ageData) return '–'; var p3 = ageData.percentile_3; var p15 = ageData.percentile_15; var p50 = ageData.percentile_50; var p85 = ageData.percentile_85; var p97 = ageData.percentile_97; if (weightKg <= p3) return 3; if (weightKg <= p15) return 15; if (weightKg <= p50) return 50; if (weightKg <= p85) return 85; if (weightKg <= p97) return 97; return 97; // If above 97th percentile } function getInterpretation(percentile) { if (percentile === '–') return '–'; if (percentile < 3) return "Significantly Underweight"; if (percentile < 15) return "Underweight"; if (percentile < 50) return "Below Average Weight"; if (percentile === 50) return "Average Weight"; if (percentile < 85) return "Above Average Weight"; if (percentile < 97) return "Overweight"; return "Significantly Overweight"; } function getComparison(weightKg, stdWeightKg) { if (weightKg === '–' || stdWeightKg === '–') return '–'; if (weightKg < stdWeightKg * 0.9) return "Significantly lighter than average."; if (weightKg stdWeightKg * 1.1) return "Significantly heavier than average."; if (weightKg > stdWeightKg) return "Heavier than average."; return "Close to average weight."; } function calculateWeight() { if (!validateInputs()) { return; } var ageDays = parseFloat(document.getElementById('ageDays').value); var weightKg = parseFloat(document.getElementById('weightKg').value); var sex = document.getElementById('sex').value; if (sex !== 'male') { alert("This calculator is specifically for boys. Please select 'Male'."); document.getElementById('sex').value = 'male'; // Reset to male return; } var ageData = getGrowthDataForAge(ageDays); var percentile = calculatePercentile(weightKg, ageData); var interpretation = getInterpretation(percentile); var stdWeightKg = ageData ? ageData.percentile_50 : '–'; var comparison = getComparison(weightKg, stdWeightKg); document.getElementById('mainResult').textContent = percentile + 'th'; document.getElementById('percentileResult').textContent = percentile + 'th Percentile'; document.getElementById('interpretationResult').textContent = interpretation; document.getElementById('stdWeightKg').textContent = stdWeightKg !== '–' ? stdWeightKg.toFixed(1) : '–'; document.getElementById('comparisonResult').textContent = comparison; updateChart(ageDays, weightKg, ageData); populateTable(); } function resetCalculator() { document.getElementById('ageDays').value = '365'; // Default to 1 year document.getElementById('weightKg').value = '10.4'; // Default to 1 year old average weight document.getElementById('sex').value = 'male'; clearErrors(); calculateWeight(); // Recalculate with defaults } function copyResults() { var mainResult = document.getElementById('mainResult').textContent; var percentileResult = document.getElementById('percentileResult').textContent; var interpretationResult = document.getElementById('interpretationResult').textContent; var stdWeightKg = document.getElementById('stdWeightKg').textContent; var comparisonResult = document.getElementById('comparisonResult').textContent; var assumptions = "Assumptions:\n"; assumptions += "- Sex: Male\n"; assumptions += "- Growth Standards: WHO\n"; assumptions += "- Age: " + document.getElementById('ageDays').value + " days\n"; assumptions += "- Measured Weight: " + document.getElementById('weightKg').value + " kg\n\n"; var textToCopy = "Boys Weight Chart Calculator Results:\n\n"; textToCopy += "Overall Percentile: " + mainResult + "\n"; textToCopy += "Weight for Age Percentile: " + percentileResult + "\n"; textToCopy += "Interpretation: " + interpretationResult + "\n"; textToCopy += "WHO Growth Standard (50th Percentile): " + stdWeightKg + "\n"; textToCopy += "Comparison to Average: " + comparisonResult + "\n\n"; textToCopy += assumptions; navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy text: ', err); prompt("Copy manually:", textToCopy); }); } function populateTable() { var tableBody = document.getElementById('weightTableBody'); tableBody.innerHTML = "; // Clear existing rows // Add specific rows for 1 year (365 days) and 18 months (540 days) var dataPoints = [ { days: 365, label: "1 Year" }, { days: 547, label: "18 Months" }, // Approx 18 months { days: 720, label: "2 Years" }, { days: 1080, label: "3 Years" }, { days: 1440, label: "4 Years" }, { days: 1800, label: "5 Years" }, { days: 2160, label: "6 Years" } ]; dataPoints.forEach(function(dp) { var ageData = getGrowthDataForAge(dp.days); if (ageData) { var row = tableBody.insertRow(); row.insertCell(0).textContent = dp.label; row.insertCell(1).textContent = ageData.percentile_3.toFixed(1); row.insertCell(2).textContent = ageData.percentile_15.toFixed(1); row.insertCell(3).textContent = ageData.percentile_50.toFixed(1); row.insertCell(4).textContent = ageData.percentile_85.toFixed(1); row.insertCell(5).textContent = ageData.percentile_97.toFixed(1); } }); } function updateChart(currentAgeDays, currentWeightKg, currentAgeData) { var ctx = document.getElementById('weightChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Prepare data for the chart var chartLabels = growthData.map(function(d) { // Convert days to months for better readability on chart axis var months = Math.round(d.days / 30.4375); return months === 0 ? 'Newborn' : (months === 1 ? '1 mo' : months + ' mo'); }); var chartDataPoints = growthData.map(function(d) { return d.days; }); // Use days for x-axis scale var chartPercentiles = { p3: growthData.map(function(d) { return d.percentile_3; }), p15: growthData.map(function(d) { return d.percentile_15; }), p50: growthData.map(function(d) { return d.percentile_50; }), p85: growthData.map(function(d) { return d.percentile_85; }), p97: growthData.map(function(d) { return d.percentile_97; }) }; // Add the current input point to the datasets var currentPointIndex = -1; for (var i = 0; i currentAgeDays) { currentPointIndex = i; // Insert before this point if not exact match break; } } if (currentPointIndex === -1) currentPointIndex = growthData.length; // Append if after last // Insert current data point into chart datasets for accurate representation var currentAgeLabel = Math.round(currentAgeDays / 30.4375) + ' mo (You)'; var insertIndex = currentPointIndex; chartLabels.splice(insertIndex, 0, currentAgeLabel); chartDataPoints.splice(insertIndex, 0, currentAgeDays); chartPercentiles.p3.splice(insertIndex, 0, currentAgeData ? currentAgeData.percentile_3 : null); chartPercentiles.p15.splice(insertIndex, 0, currentAgeData ? currentAgeData.percentile_15 : null); chartPercentiles.p50.splice(insertIndex, 0, currentAgeData ? currentAgeData.percentile_50 : null); chartPercentiles.p85.splice(insertIndex, 0, currentAgeData ? currentAgeData.percentile_85 : null); chartPercentiles.p97.splice(insertIndex, 0, currentAgeData ? currentAgeData.percentile_97 : null); var currentWeightSeries = new Array(chartLabels.length).fill(null); if (currentWeightKg && currentAgeDays) { currentWeightSeries[insertIndex] = currentWeightKg; } var chartData = { labels: chartLabels, datasets: [ { label: '3rd Percentile', data: chartPercentiles.p3, borderColor: '#ffc107', backgroundColor: 'rgba(255, 193, 7, 0.2)', fill: false, tension: 0.1, pointRadius: 0 }, { label: '15th Percentile', data: chartPercentiles.p15, borderColor: '#fd7e14', backgroundColor: 'rgba(253, 126, 20, 0.2)', fill: false, tension: 0.1, pointRadius: 0 }, { label: '50th Percentile (Average)', data: chartPercentiles.p50, borderColor: '#004a99', backgroundColor: 'rgba(0, 74, 153, 0.2)', fill: false, tension: 0.1, pointRadius: 0 }, { label: '85th Percentile', data: chartPercentiles.p85, borderColor: '#28a745', backgroundColor: 'rgba(40, 167, 69, 0.2)', fill: false, tension: 0.1, pointRadius: 0 }, { label: '97th Percentile', data: chartPercentiles.p97, borderColor: '#dc3545', backgroundColor: 'rgba(220, 53, 69, 0.2)', fill: false, tension: 0.1, pointRadius: 0 }, // Dataset for the user's input weight { label: 'Your Child\'s Weight', data: currentWeightSeries, borderColor: '#000000', backgroundColor: '#000000', fill: false, tension: 0, // No interpolation for the single point pointRadius: 6, pointHoverRadius: 8 } ] }; // Custom X-axis configuration to use days for scaling but show labels as months var options = { responsive: true, maintainAspectRatio: false, scales: { x: { type: 'linear', // Use linear scale for accurate spacing based on days position: 'bottom', title: { display: true, text: 'Age (Months)' }, ticks: { callback: function(value, index, values) { // Convert the linear scale value (days) back to months for display var monthLabel = Math.round(value / 30.4375); if (monthLabel === 0) return 'Newborn'; if (monthLabel === 1) return '1 mo'; if (monthLabel === 18) return '18 mo'; if (monthLabel === 24) return '2 yrs'; if (monthLabel === 36) return '3 yrs'; if (monthLabel === 48) return '4 yrs'; if (monthLabel === 60) return '5 yrs'; if (monthLabel === 72) return '6 yrs'; return monthLabel + ' mo'; } } }, y: { title: { display: true, text: 'Weight (kg)' }, min: 0, // Ensure Y-axis starts at 0 max: 30 // Set a reasonable max for the age range } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Boys Weight-for-Age Growth Chart (WHO Standards)' } }, interaction: { mode: 'index', intersect: false, }, hover: { mode: 'nearest', intersect: true } }; // Use Chart.js if available, otherwise fallback or show message // NOTE: For pure HTML/JS without libraries, this part needs a pure SVG or Canvas implementation. // Since Chart.js is commonly used, we'll simulate its structure here. // A true pure solution would involve manual canvas drawing. // — BEGIN Manual Canvas Drawing (if Chart.js is not assumed) — // This section provides a basic pure canvas rendering if Chart.js is unavailable. // For a production environment, using a library like Chart.js or D3.js is highly recommended. ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); // Clear previous drawing var canvasWidth = ctx.canvas.offsetWidth; var canvasHeight = 400; // Fixed height for canvas ctx.canvas.height = canvasHeight; var padding = { top: 30, right: 20, bottom: 50, left: 60 }; var chartAreaWidth = canvasWidth – padding.left – padding.right; var chartAreaHeight = canvasHeight – padding.top – padding.bottom; // Find min/max for axes based on data and current input var allWeights = [currentWeightKg].concat(growthData.flatMap(function(d) { return [d.percentile_3, d.percentile_15, d.percentile_50, d.percentile_85, d.percentile_97]; })); var minWeight = Math.max(0, Math.min(…allWeights) – 2); var maxWeight = Math.max(…allWeights) + 2; if (maxWeight > 30) maxWeight = 30; // Cap max weight var minDays = Math.min(…growthData.map(function(d) { return d.days; })); var maxDays = Math.max(…growthData.map(function(d) { return d.days; })); if (currentAgeDays) { minDays = Math.min(minDays, currentAgeDays); maxDays = Math.max(maxDays, currentAgeDays); } minDays = Math.max(0, minDays); // Ensure minimum is 0 days // Draw Y-axis (Weight) ctx.strokeStyle = '#ccc'; ctx.lineWidth = 1; ctx.beginPath(); ctx.moveTo(padding.left, padding.top); ctx.lineTo(padding.left, canvasHeight – padding.bottom); ctx.stroke(); // Y-axis ticks and labels var yTickCount = 6; for (var i = 0; i <= yTickCount; i++) { var yPos = canvasHeight – padding.bottom – (i / yTickCount) * chartAreaHeight; var weightValue = minWeight + (i / yTickCount) * (maxWeight – minWeight); ctx.fillText(weightValue.toFixed(1) + ' kg', padding.left – 40, yPos + 5); ctx.beginPath(); ctx.moveTo(padding.left – 5, yPos); ctx.lineTo(padding.left, yPos); ctx.stroke(); } // Draw X-axis (Age) ctx.beginPath(); ctx.moveTo(padding.left, canvasHeight – padding.bottom); ctx.lineTo(canvasWidth – padding.right, canvasHeight – padding.bottom); ctx.stroke(); // X-axis ticks and labels (simplified month labels) var xTickCount = 6; // Number of major ticks var ageRange = maxDays – minDays; for (var i = 0; i <= xTickCount; i++) { var daysValue = minDays + (i / xTickCount) * ageRange; var xPos = padding.left + (daysValue – minDays) / ageRange * chartAreaWidth; var monthLabel = Math.round(daysValue / 30.4375); var labelText = monthLabel === 0 ? 'Newborn' : (monthLabel === 1 ? '1 mo' : (monthLabel === 18 ? '18 mo' : (monthLabel === 24 ? '2 yrs' : (monthLabel === 36 ? '3 yrs' : (monthLabel === 48 ? '4 yrs' : (monthLabel === 60 ? '5 yrs' : (monthLabel === 72 ? '6 yrs' : monthLabel + ' mo')))))))); ctx.fillText(labelText, xPos – 15, canvasHeight – padding.bottom + 20); // Adjust xPos for centering label ctx.beginPath(); ctx.moveTo(xPos, canvasHeight – padding.bottom); ctx.lineTo(xPos, canvasHeight – padding.bottom + 5); ctx.stroke(); } // Draw Chart Title ctx.font = 'bold 16px sans-serif'; ctx.fillStyle = '#004a99'; ctx.textAlign = 'center'; ctx.fillText('Boys Weight-for-Age Growth Chart (WHO Standards)', canvasWidth / 2, padding.top / 2); // Helper function to draw a line on canvas function drawLine(dataSeries, color, lineWidth, fill, isUserWeight) { ctx.strokeStyle = color; ctx.lineWidth = lineWidth; ctx.fillStyle = fill || color.replace(')', ', 0.2)'); // Basic alpha transparency for fill ctx.beginPath(); var firstPoint = true; for (var i = 0; i < dataSeries.length; i++) { var weight = dataSeries[i]; if (weight === null || weight === undefined) continue; // Skip null/undefined points var xDays = chartDataPoints[i]; // Use the actual days value for x position var xPos = padding.left + (xDays – minDays) / ageRange * chartAreaWidth; var yPos = canvasHeight – padding.bottom – (weight – minWeight) / (maxWeight – minWeight) * chartAreaHeight; if (firstPoint) { ctx.moveTo(xPos, yPos); firstPoint = false; } else { ctx.lineTo(xPos, yPos); } } if (fill && !isUserWeight) { // Only fill for percentile lines, not the user's weight point ctx.lineTo(canvasWidth – padding.right, canvasHeight – padding.bottom); // Close path for fill ctx.lineTo(padding.left, canvasHeight – padding.bottom); ctx.closePath(); ctx.fill(); } ctx.stroke(); // Stroke the line after fill } // Draw percentile lines drawLine(chartPercentiles.p3, '#ffc107', 1, true); drawLine(chartPercentiles.p15, '#fd7e14', 1, true); drawLine(chartPercentiles.p50, '#004a99', 2, true); // Thicker line for average drawLine(chartPercentiles.p85, '#28a745', 1, true); drawLine(chartPercentiles.p97, '#dc3545', 1, true); // Draw user's weight point if (currentWeightSeries[insertIndex] !== null) { var weight = currentWeightSeries[insertIndex]; var xDays = chartDataPoints[insertIndex]; var xPos = padding.left + (xDays – minDays) / ageRange * chartAreaWidth; var yPos = canvasHeight – padding.bottom – (weight – minWeight) / (maxWeight – minWeight) * chartAreaHeight; ctx.fillStyle = '#000000'; ctx.beginPath(); ctx.arc(xPos, yPos, 6, 0, Math.PI * 2); // Draw a circle for the point ctx.fill(); // Add label for user's weight point ctx.fillStyle = '#333'; ctx.font = '12px sans-serif'; ctx.textAlign = 'left'; ctx.fillText(weight.toFixed(1) + ' kg', xPos + 10, yPos – 5); } // Draw Legend var legendItems = [ { label: '3rd Percentile', color: '#ffc107' }, { label: '15th Percentile', color: '#fd7e14' }, { label: '50th Percentile (Average)', color: '#004a99' }, { label: '85th Percentile', color: '#28a745' }, { label: '97th Percentile', color: '#dc3545' }, { label: "Your Child's Weight", color: '#000000', isPoint: true } ]; var legendX = padding.left; var legendY = canvasHeight – padding.bottom / 2; legendItems.forEach(function(item) { ctx.fillStyle = item.color; if (item.isPoint) { ctx.beginPath(); ctx.arc(legendX + 5, legendY + 5, 4, 0, Math.PI * 2); ctx.fill(); ctx.fillStyle = '#333'; // Text color ctx.fillText(item.label, legendX + 20, legendY + 10); legendX += ctx.measureText(item.label).width + 30; } else { // Draw a small rectangle for lines ctx.fillRect(legendX, legendY, 20, 5); ctx.fillStyle = '#333'; // Text color ctx.fillText(item.label, legendX + 30, legendY + 10); legendX += ctx.measureText(item.label).width + 30; } }); // — END Manual Canvas Drawing — } // Initialize calculator on page load document.addEventListener('DOMContentLoaded', function() { resetCalculator(); // Set default values and calculate populateTable(); // Populate table on load as well });

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