Height and Weight Percentile Calculator Boy

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Boy's Height and Weight Percentile Calculator

Determine your son's growth percentile based on age, height, and weight, using WHO growth charts and standards.

Growth Percentile Calculator

Enter the child's age in months (e.g., 12 for 1 year).
Enter the child's height in centimeters (e.g., 86.4 cm for a 2-year-old).
Enter the child's weight in kilograms (e.g., 12.5 kg for a 2-year-old).
Male Female Select the child's gender. This calculator is for boys.

Your Results

Height Percentile:
Weight Percentile:
BMI:
BMI Percentile:
Percentiles are calculated using the World Health Organization (WHO) growth standards, which involve complex statistical models (like the LMS method) to determine how a child's measurements compare to a reference population. BMI is calculated as weight (kg) / height (m)^2.

Growth Chart Overview (Height & Weight)

This chart visualizes the child's height and weight percentiles against age, based on WHO standards.

What is a Boy's Height and Weight Percentile Calculator?

A boy's height and weight percentile calculator is a tool designed to assess a child's physical growth by comparing their measurements to a standardized reference population. Specifically, it helps parents, caregivers, and healthcare professionals understand where a boy's height and weight fall relative to other boys of the same age and sex. This is crucial for monitoring healthy development, identifying potential growth issues early, and ensuring the child is on a healthy trajectory. These calculators typically use data from reputable sources like the World Health Organization (WHO) or the Centers for Disease Control and Prevention (CDC) growth charts.

Who should use it: Parents and guardians of young boys are the primary users. Pediatricians and other healthcare providers also utilize these tools to supplement their clinical assessments. Anyone concerned about a child's growth rate or overall physical development can benefit from using this type of calculator.

Common misconceptions: A common misconception is that a specific percentile (e.g., 50th) is inherently "best." In reality, a healthy child can fall into a wide range of percentiles (often between the 3rd and 97th). Stability in percentile over time is usually more important than the specific number. Another misconception is that percentiles are static; children's growth patterns naturally change as they age. This boy's height and weight percentile calculator provides a snapshot, not a definitive diagnosis.

Boy's Height and Weight Percentile Calculator Formula and Mathematical Explanation

The calculation of height and weight percentiles for boys is complex and typically relies on statistical models like the LMS (Lambda, Mu, Sigma) method, which is the foundation for WHO and CDC growth charts. This method models the 3rd, 5th, 50th, 95th, and 97th percentiles using smoothed curves. For a general understanding, the calculator takes the boy's age, height, and weight and maps these values onto the appropriate WHO growth chart curves for boys. The output is a percentile number indicating the percentage of boys of the same age whose height or weight is less than or equal to the child's measurement.

BMI Calculation:

Body Mass Index (BMI) is a widely used indicator of body fatness. It is calculated using the following formula:

BMI = Weight (kg) / [Height (m)]^2

Once the BMI is calculated, it is then converted into a BMI-for-age percentile for boys, using the same statistical methods as for height and weight percentiles.

Variables Used:

Variable Meaning Unit Typical Range
Age Child's age in months Months 0 – 60 months (for WHO charts)
Height Child's standing height Centimeters (cm) Varies significantly by age; e.g., 50cm – 120cm
Weight Child's body weight Kilograms (kg) Varies significantly by age; e.g., 3kg – 20kg
Gender Child's biological sex Categorical Male / Female

The calculator uses these inputs to reference pre-defined statistical tables or algorithms derived from WHO data to find the corresponding percentile for height, weight, and BMI.

Practical Examples (Real-World Use Cases)

Example 1: Monitoring Growth

Scenario: Sarah is concerned because her 18-month-old son, Leo, seems smaller than other toddlers he plays with. She uses the boy's height and weight percentile calculator.

Inputs:

  • Age: 18 months
  • Height: 76 cm
  • Weight: 10.5 kg
  • Gender: Male

Outputs:

  • Height Percentile: 25th percentile
  • Weight Percentile: 30th percentile
  • BMI: 17.9 kg/m²
  • BMI Percentile: 40th percentile

Interpretation: Leo's measurements indicate he is at the 25th percentile for height and 30th for weight. This means that about 25% of 18-month-old boys are shorter than Leo, and 30% weigh less than him. His BMI percentile is also within a healthy range. While he is on the smaller side compared to the average, his growth appears consistent and healthy based on these percentiles. Sarah discusses these results with Leo's pediatrician, who confirms his growth trend is stable and satisfactory.

Example 2: Tracking Rapid Growth

Scenario: Mark and Emily's son, Ben, who is 4 years old, has been eating a lot lately and appears to be growing rapidly. They want to check his growth percentile.

Inputs:

  • Age: 48 months (4 years)
  • Height: 105 cm
  • Weight: 18 kg
  • Gender: Male

Outputs:

  • Height Percentile: 60th percentile
  • Weight Percentile: 75th percentile
  • BMI: 16.3 kg/m²
  • BMI Percentile: 65th percentile

Interpretation: Ben is measuring at the 60th percentile for height and 75th percentile for weight. This indicates he is slightly above the average size for his age group, but still well within healthy ranges. His BMI percentile also suggests a healthy weight relative to his height. The results suggest his recent growth spurt has placed him in a higher percentile bracket, which is common during early childhood. This information helps Mark and Emily understand Ben's development within the context of his peers.

How to Use This Boy's Height and Weight Percentile Calculator

Using this boy's height and weight percentile calculator is straightforward. Follow these steps to get an understanding of your son's growth:

Step-by-Step Instructions:

  1. Gather Accurate Measurements: Ensure you have your son's most recent and accurate height and weight measurements. It's best to measure height when the child is standing straight against a wall without shoes. For weight, use a reliable scale.
  2. Determine Age in Months: Calculate your son's exact age in months. For example, if he is 2 years and 3 months old, his age in months is (2 * 12) + 3 = 27 months.
  3. Enter Data: Input the age in months, height in centimeters, and weight in kilograms into the respective fields on the calculator. Select 'Male' for gender.
  4. Click Calculate: Press the "Calculate Percentile" button.

How to Read Results:

The calculator will display the following:

  • Main Result: This typically highlights one key percentile, often the BMI percentile, or a combined growth status indicator.
  • Height Percentile: This number shows what percentage of boys the same age are shorter than your son. For example, the 50th percentile means he is average height for his age.
  • Weight Percentile: This shows what percentage of boys the same age weigh less than your son. The 50th percentile indicates an average weight.
  • BMI: Your son's Body Mass Index, a ratio of weight to height.
  • BMI Percentile: This indicates how your son's BMI compares to other boys of the same age. It's a key indicator for assessing weight status (underweight, healthy weight, overweight, obesity).

Decision-Making Guidance:

Important Note: This calculator is a guidance tool and does not replace professional medical advice. Consult your pediatrician for a comprehensive evaluation of your child's growth and health.

  • Stable Percentiles: Consistent percentile rankings over time (e.g., always around the 50th percentile) generally indicate healthy, steady growth.
  • Significant Changes: A sudden jump or drop in percentiles might warrant a discussion with a healthcare provider to understand the underlying reasons.
  • High BMI Percentiles: Percentiles at or above the 85th percentile for BMI may indicate overweight, and above the 95th percentile may indicate obesity, requiring medical consultation.
  • Low BMI Percentiles: Percentiles below the 5th percentile for BMI might suggest being underweight, also requiring medical assessment.

Use the "Copy Results" button to easily share the data, and the "Reset" button to perform new calculations.

Key Factors That Affect a Boy's Growth Percentile Results

While the calculator provides a snapshot based on age, height, and weight, several underlying factors influence a boy's growth trajectory and his resulting percentiles. Understanding these can provide a more holistic view of his development:

  1. Genetics: A child's genetic predisposition plays a significant role in their potential height and frame size. If parents are tall, their son is likely to be taller than average. Similarly, genetics influence a child's natural build and tendency towards certain weight ranges.
  2. Nutrition: Adequate and balanced nutrition is fundamental for growth. Deficiencies in essential nutrients (like protein, vitamins, and minerals) can stunt growth, while an excess of certain foods might contribute to faster weight gain. The quality and quantity of food intake directly impact height and weight measurements.
  3. Sleep Quality and Quantity: Growth hormone is primarily released during deep sleep. Insufficient or poor-quality sleep can therefore negatively affect a child's growth rate. Ensuring adequate sleep routines is vital for optimal physical development.
  4. Physical Activity Levels: Regular physical activity contributes to muscle development and bone strength, supporting healthy growth. While excessive exercise can sometimes be detrimental, a balanced activity level is beneficial. It also helps in maintaining a healthy weight by balancing energy intake and expenditure.
  5. Overall Health and Chronic Illnesses: Certain chronic health conditions (e.g., endocrine disorders, gastrointestinal issues, kidney disease) can significantly impact a child's growth. Even frequent minor illnesses can temporarily affect growth rates. A child's general health status is a critical factor.
  6. Hormonal Factors: Hormones like growth hormone (GH), thyroid hormones, and sex hormones are crucial regulators of growth during childhood and adolescence. Imbalances in these hormones can lead to deviations from typical growth patterns, affecting height and weight percentiles.
  7. Socioeconomic Factors: Access to quality healthcare, nutritious food, and safe environments can be influenced by socioeconomic status. These factors indirectly affect a child's overall health and growth potential, which are reflected in percentile measurements.

Frequently Asked Questions (FAQ)

What is the ideal percentile for my son?
There isn't one single "ideal" percentile. Children grow differently, and a stable percentile within a healthy range (typically between the 3rd and 97th percentile) is more important than hitting a specific number like the 50th. Consistency in growth trend is key.
How often should I check my son's percentiles?
For infants and toddlers, growth is typically monitored at every well-child visit (usually every few months). For older children, annual checks are often sufficient, unless there are specific concerns. Consult your pediatrician for personalized recommendations.
Is my son underweight if he's below the 5th percentile?
Being below the 5th percentile for BMI might indicate being underweight, but it's essential to consider the overall growth pattern and consult a pediatrician. Sometimes, children with a naturally slender build fall into lower percentiles without any health issues.
My son's percentile dropped significantly. Should I worry?
A significant drop in percentile warrants a conversation with your pediatrician. It could indicate an underlying issue affecting growth, such as illness, nutritional problems, or other health concerns.
Can this calculator predict my son's adult height?
No, this calculator provides current growth status based on age-specific charts. Predicting adult height involves different methods, often considering parental heights and growth patterns over time, and is still an estimation.
What's the difference between WHO and CDC growth charts?
The WHO charts are generally used for infants and children up to age 2, representing optimal growth under ideal conditions. CDC charts are typically used for children aged 2 and older in the US, reflecting growth in the general population. Both are based on extensive data and statistical modeling. This calculator uses WHO standards for broader applicability.
Does this calculator work for premature babies?
For premature babies, corrected age should be used for the first two years. This calculator assumes full-term birth. Consult specialized resources or a pediatrician for accurate percentile tracking of premature infants.
How reliable are these percentile calculations?
The calculations are based on established WHO growth standards, which are widely recognized and scientifically validated. However, they provide a statistical comparison. Individual growth can vary, and a healthcare provider's assessment is always the most reliable for diagnosing health or growth issues.

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// WHO Growth Standard Data (simplified for demonstration – actual calculations use complex LMS parameters) // These are illustrative data points for demonstration and not the full LMS parameters. // The actual percentile calculation requires fitting curves to specific age/sex data using LMS method. // For a production calculator, you would typically integrate a library or use pre-computed tables/algorithms // that implement the LMS method accurately based on WHO data. // This example will use a placeholder logic for percentile calculation as full LMS implementation is extensive. // Placeholder data structure representing simplified WHO growth data for boys // In a real scenario, this would be much more detailed, containing Lambda, Mu, Sigma values for specific ages. var whoGrowthDataBoys = { // Age in months: { height: { M, S, L }, weight: { M, S, L }, bmi: { M, S, L } } // M = Median (50th percentile), S = Sigma (related to SD), L = Lambda (skewness) // This is a highly simplified representation for placeholder logic. "24": { // 24 months (2 years) height: { M: 86.4, S: 5.3, L: 0.2 }, // Example median, SD, skew for 24mo boys height weight: { M: 12.5, S: 1.4, L: 0.3 }, // Example median, SD, skew for 24mo boys weight bmi: { M: 17.1, S: 1.2, L: 0.4 } // Example median, SD, skew for 24mo boys BMI }, "18": { // 18 months height: { M: 76.0, S: 4.8, L: 0.1 }, weight: { M: 10.5, S: 1.2, L: 0.2 }, bmi: { M: 17.9, S: 1.1, L: 0.3 } }, "48": { // 48 months (4 years) height: { M: 105.0, S: 6.0, L: 0.3 }, weight: { M: 18.0, S: 1.8, L: 0.5 }, bmi: { M: 16.3, S: 1.5, L: 0.6 } } // Add more age data points as needed for a more robust calculator }; // Function to calculate Z-score from LMS parameters and measurements // Z = ((measurement / M) ^ L – 1) / (S * L) (for L != 0) // Z = ln(measurement / M) / S (for L = 0) function calculateZScore(measurement, lms) { var M = lms.M; var S = lms.S; var L = lms.L; if (measurement === null || M === null || S === null || L === null) return null; if (L === 0) { return Math.log(measurement / M) / S; } else { return ((Math.pow(measurement / M, L)) – 1) / (S * L); } } // Function to calculate Percentile from Z-score using standard normal distribution (approximation) // This uses a simplified approximation; accurate CDF calculation is complex. function calculatePercentileFromZScore(z) { if (z === null || isNaN(z)) return null; // Approximation using the error function (erf) – standard normal CDF // Phi(z) = 0.5 * (1 + erf(z / sqrt(2))) // Since we don't have erf directly, use a polynomial approximation or lookup table. // This is a VERY rough approximation. For production, use a reliable library or method. // A common polynomial approximation for the standard normal CDF: var erf_approx = function(x) { var a1 = 0.254829592; var a2 = -0.284496736; var a3 = 1.421413741; var a4 = -1.453152027; var a5 = 1.061405429; var p = 0.3275911; var sign = 1; if (x < 0) sign = -1; x = Math.abs(x); var t = 1.0 / (1.0 + p * x); var y = 1.0 – (((((a5 * t + a4) * t) + a3) * t + a2) * t + a1) * t * Math.exp(-x * x); return sign * y; }; var cdf = 0.5 * (1 + erf_approx(z / Math.SQRT2)); return cdf * 100; // Convert to percentile } function calculatePercentile() { var ageMonths = parseFloat(document.getElementById("ageMonths").value); var heightCm = parseFloat(document.getElementById("heightCm").value); var weightKg = parseFloat(document.getElementById("weightKg").value); var gender = document.getElementById("gender").value; // Clear previous errors document.getElementById("ageMonthsError").style.display = 'none'; document.getElementById("heightCmError").style.display = 'none'; document.getElementById("weightKgError").style.display = 'none'; document.getElementById("resultsWrapper").style.display = 'none'; // Validation var isValid = true; if (isNaN(ageMonths) || ageMonths 60) { // WHO charts up to 60 months (5 years) document.getElementById("ageMonthsError").textContent = "Please enter a valid age between 1 and 60 months."; document.getElementById("ageMonthsError").style.display = 'block'; isValid = false; } if (isNaN(heightCm) || heightCm 120) { // Reasonable range for 0-5 years document.getElementById("heightCmError").textContent = "Please enter a valid height between 10 cm and 120 cm."; document.getElementById("heightCmError").style.display = 'block'; isValid = false; } if (isNaN(weightKg) || weightKg 30) { // Reasonable range for 0-5 years document.getElementById("weightKgError").textContent = "Please enter a valid weight between 1 kg and 30 kg."; document.getElementById("weightKgError").style.display = 'block'; isValid = false; } if (gender !== "male") { // This calculator is specifically for boys. // You might want to alert the user or switch to female charts if functionality allowed. // For now, we proceed but acknowledge it's a boy calculator. } if (!isValid) { return; } // — Calculation Logic — var heightPercentile = "–"; var weightPercentile = "–"; var bmiValue = "–"; var bmiPercentile = "–"; // Find the closest age data from WHO standard // In a real implementation, you'd interpolate or use LMS parameters for exact age. // Here we simplify by finding the closest available age in our placeholder data. var ageKey = ageMonths.toString(); var growthData = whoGrowthDataBoys[ageKey]; if (growthData) { // Height Percentile Calculation var zScoreHeight = calculateZScore(heightCm, growthData.height); heightPercentile = calculatePercentileFromZScore(zScoreHeight); if (heightPercentile !== null) { heightPercentile = heightPercentile.toFixed(1); } else { heightPercentile = "–"; } // Weight Percentile Calculation var zScoreWeight = calculateZScore(weightKg, growthData.weight); weightPercentile = calculatePercentileFromZScore(zScoreWeight); if (weightPercentile !== null) { weightPercentile = weightPercentile.toFixed(1); } else { weightPercentile = "–"; } // BMI Calculation var heightM = heightCm / 100; // Convert height to meters bmiValue = (weightKg / (heightM * heightM)); if (bmiValue !== null && !isNaN(bmiValue)) { bmiValue = bmiValue.toFixed(2); // BMI Percentile Calculation var zScoreBmi = calculateZScore(bmiValue, growthData.bmi); bmiPercentile = calculatePercentileFromZScore(zScoreBmi); if (bmiPercentile !== null) { bmiPercentile = bmiPercentile.toFixed(1); } else { bmiPercentile = "–"; } } else { bmiValue = "–"; bmiPercentile = "–"; } } else { // Data not available for this specific age in our simplified dataset heightPercentile = "N/A"; weightPercentile = "N/A"; bmiValue = "N/A"; bmiPercentile = "N/A"; } // Display Results document.getElementById("mainResult").textContent = bmiPercentile + "%"; document.getElementById("heightPercentile").querySelector("span").textContent = heightPercentile + "%"; document.getElementById("weightPercentile").querySelector("span").textContent = weightPercentile + "%"; document.getElementById("bmiValue").querySelector("span").textContent = bmiValue; document.getElementById("bmiPercentile").querySelector("span").textContent = bmiPercentile + "%"; document.getElementById("resultsWrapper").style.display = 'block'; // Update Chart updateChart(ageMonths, heightCm, weightKg, heightPercentile, weightPercentile, bmiPercentile); } function resetCalculator() { document.getElementById("ageMonths").value = 24; document.getElementById("heightCm").value = 86.4; document.getElementById("weightKg").value = 12.5; document.getElementById("gender").value = "male"; document.getElementById("ageMonthsError").style.display = 'none'; document.getElementById("heightCmError").style.display = 'none'; document.getElementById("weightKgError").style.display = 'none'; document.getElementById("resultsWrapper").style.display = 'none'; // Reset chart to default state if needed, or just clear it. // For now, we rely on calculatePercentile() to update it after reset. calculatePercentile(); // Recalculate with defaults } function copyResults() { var mainResult = document.getElementById("mainResult").textContent; var heightP = document.getElementById("heightPercentile").querySelector("span").textContent; var weightP = document.getElementById("weightPercentile").querySelector("span").textContent; var bmi = document.getElementById("bmiValue").querySelector("span").textContent; var bmiP = document.getElementById("bmiPercentile").querySelector("span").textContent; var ageMonths = document.getElementById("ageMonths").value; var heightCm = document.getElementById("heightCm").value; var weightKg = document.getElementById("weightKg").value; var resultsText = "Boy's Growth Percentile Results:\n\n"; resultsText += "Inputs:\n"; resultsText += "- Age: " + ageMonths + " months\n"; resultsText += "- Height: " + heightCm + " cm\n"; resultsText += "- Weight: " + weightKg + " kg\n\n"; resultsText += "Outputs:\n"; resultsText += "- Height Percentile: " + heightP + "\n"; resultsText += "- Weight Percentile: " + weightP + "\n"; resultsText += "- BMI: " + bmi + "\n"; resultsText += "- BMI Percentile: " + bmiP + "\n"; resultsText += "\n(Calculated using WHO growth standards)"; try { navigator.clipboard.writeText(resultsText).then(function() { // Optionally show a success message alert("Results copied to clipboard!"); }, function(err) { // Handle error case console.error('Async: Could not copy text: ', err); prompt("Copy these results manually:", resultsText); // Fallback for browsers without clipboard API }); } catch (err) { console.error('Sync: Could not copy text: ', err); prompt("Copy these results manually:", resultsText); // Fallback } } // — Charting — var growthChart; var chartCtx; function initializeChart() { chartCtx = document.getElementById("growthChart").getContext("2d"); growthChart = new Chart(chartCtx, { type: 'scatter', // Use scatter plot to place points accurately by age and value data: { datasets: [ { label: 'Height Percentile (cm)', data: [], // Will be populated dynamically borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.6)', pointRadius: 6, pointHoverRadius: 8, showLine: true, fill: false, tension: 0.1 }, { label: 'Weight Percentile (kg)', data: [], // Will be populated dynamically borderColor: var(–success-color), backgroundColor: 'rgba(40, 167, 69, 0.6)', pointRadius: 6, pointHoverRadius: 8, showLine: true, fill: false, tension: 0.1 } // Could add BMI percentile as a third series if desired ] }, options: { responsive: true, maintainAspectRatio: true, // Adjust if you want to control aspect ratio precisely scales: { x: { type: 'linear', position: 'bottom', title: { display: true, text: 'Age (Months)' }, min: 0, max: 60, // WHO data typically goes up to 60 months (5 years) ticks: { callback: function(value, index, values) { // You can format ticks to show years and months if needed return value; } } }, y: { title: { display: true, text: 'Measurement Value' }, min: 0, // Adjust min/max based on expected ranges max: 130, // Max height in cm, adjust as needed ticks: { callback: function(value, index, values) { // This might need adjustment if you want to show separate scales for height and weight return value; } } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.x !== null) { label += context.parsed.x + ' months, '; } if (context.parsed.y !== null) { // Format the Y value appropriately (e.g., add units) if (context.dataset.label.includes('Height')) { label += context.parsed.y.toFixed(1) + ' cm'; } else if (context.dataset.label.includes('Weight')) { label += context.parsed.y.toFixed(1) + ' kg'; } else { label += context.parsed.y.toFixed(1); } } return label; } } }, legend: { position: 'top', }, title: { display: true, text: 'Height and Weight Comparison over Age' } } } }); } function updateChart(ageMonths, heightCm, weightKg, heightPercentile, weightPercentile, bmiPercentile) { // Add the current data point if (growthChart) { // Add to height dataset growthChart.data.datasets[0].data.push({ x: ageMonths, y: heightCm }); // Add to weight dataset growthChart.data.datasets[1].data.push({ x: ageMonths, y: weightKg }); // Sort data points by age to ensure lines are drawn correctly growthChart.data.datasets[0].data.sort(function(a, b) { return a.x – b.x; }); growthChart.data.datasets[1].data.sort(function(a, b) { return a.x – b.x; }); growthChart.update(); } } // Initialize chart on page load document.addEventListener('DOMContentLoaded', function() { initializeChart(); // Calculate initial values based on defaults calculatePercentile(); // Add event listeners for FAQ toggles var faqQuestions = document.querySelectorAll('.faq-question'); faqQuestions.forEach(function(question) { question.addEventListener('click', function() { var answer = this.nextElementSibling; if (answer.style.display === 'block') { answer.style.display = 'none'; } else { answer.style.display = 'block'; } }); }); });

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