Child Weight Calculator Kg

Child Weight Calculator (kg): Track Growth & Health :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –light-gray: #e9ecef; –white: #fff; –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: 980px; margin: 20px auto; padding: 20px; background-color: var(–white); border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.05); } header { background-color: var(–primary-color); color: var(–white); padding: 20px 0; text-align: center; margin-bottom: 20px; width: 100%; } header h1 { margin: 0; font-size: 2.2em; } main { width: 100%; } .calculator-section { margin-bottom: 30px; padding: 25px; background-color: var(–white); border-radius: 8px; box-shadow: 0 2px 8px rgba(0, 0, 0, 0.04); border: 1px solid var(–light-gray); 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Child Weight Calculator (kg)

Child Growth Tracker

Enter age in full months (e.g., 6 months, 18 months).
Enter the child's weight in kilograms.
Male Female
Select the child's gender.

Growth Analysis

Weight Percentile %
WHO Category
Expected Weight (Median) kg
Weight for Age Z-Score
How it Works: This calculator compares your child's weight and age against World Health Organization (WHO) growth standards. It calculates the weight-for-age percentile, indicating how the child's weight compares to other children of the same age and sex. A Z-score measures the number of standard deviations away from the median weight.

Growth Chart Visualization

Comparison of your child's weight against the median and 3rd/97th percentiles for their age and gender.

What is a Child Weight Calculator (kg)?

A Child Weight Calculator (kg) is an online tool designed to help parents, caregivers, and healthcare professionals assess a child's weight status relative to established growth standards. It takes into account the child's age, sex, and weight in kilograms to determine where they fall on growth charts, typically using data from organizations like the World Health Organization (WHO). This child weight calculator kg provides key metrics such as weight percentile and Z-score, offering insights into whether the child's weight is appropriate for their age and sex.

Who should use it:

  • Parents and guardians monitoring their child's growth and development.
  • Pediatricians and healthcare providers for quick assessments during check-ups.
  • Nutritionists and dietitians tracking nutritional status.
  • Anyone concerned about a child's weight, whether it's underweight, healthy weight, or overweight.

Common misconceptions:

  • Percentiles are absolute measures: A percentile is not a measure of health, but a ranking. Being in the 10th percentile is not inherently unhealthy if the child is consistently growing along that curve.
  • A single reading defines everything: Growth is a trend. One reading doesn't tell the whole story; tracking multiple readings over time is crucial.
  • Calculators replace professional advice: These tools are for informational purposes. Always consult a healthcare professional for personalized advice.

Child Weight Calculator (kg) Formula and Mathematical Explanation

The core of a child weight calculator kg relies on established growth charts and statistical methods, primarily the WHO Growth Standards. These standards are based on extensive data from healthy, breastfed children worldwide.

Weight-for-Age Percentile Calculation

The calculator interpolates your child's weight and age against the WHO data to find their percentile rank. A percentile indicates the percentage of children of the same age and sex whose weight is less than or equal to the child's weight. The formula involves referencing specific WHO data tables and applying interpolation methods if the exact age isn't listed.

Weight-for-Age Z-Score Calculation

The Z-score is a more statistically robust measure. It quantifies how many standard deviations a child's weight is from the median (50th percentile) weight for their age and sex. The formula is:

Z = (Weight – Median Weight) / Standard Deviation

WHO Growth Categories

Based on percentiles and Z-scores, children are often categorized:

  • Underweight: Typically below the 3rd percentile or Z-score < -2.
  • Healthy weight: Typically between the 3rd and 85th percentiles (or Z-scores between -2 and +1).
  • Overweight: Typically between the 85th and 97th percentiles (or Z-scores between +1 and +2).
  • Obese: Typically above the 97th percentile (or Z-scores > +2).

Variables and Data

The calculations require specific data points for each age and sex, typically sourced from WHO growth charts.

Key Variables in Child Growth Assessment
Variable Meaning Unit Source
Age Time elapsed since birth. Months User Input
Sex Biological sex of the child. Categorical (Male/Female) User Input
Weight The child's measured body mass. Kilograms (kg) User Input
Median Weight (P50) The weight of the child at the 50th percentile for a given age and sex. Kilograms (kg) WHO Growth Standards
Standard Deviation (SD) A measure of the spread or dispersion of weights around the median. Kilograms (kg) WHO Growth Standards
Percentile (P) The rank of the child's weight compared to peers. % Calculated
Z-Score Number of standard deviations from the median weight. Unitless Calculated

Practical Examples (Real-World Use Cases)

Let's illustrate how the child weight calculator kg can be used with realistic scenarios:

Example 1: Monitoring Healthy Growth

Scenario: Sarah is a healthy 18-month-old girl. Her parents want to ensure she's growing well. They input her details into the calculator.

  • Inputs: Age = 18 months, Weight = 10.5 kg, Gender = Female

Calculator Output:

  • Weight Percentile: 60%
  • WHO Category: Healthy Weight
  • Expected Weight (Median): 10.2 kg
  • Weight for Age Z-Score: 0.5

Interpretation: Sarah's weight is above the median for her age, placing her in the 60th percentile. This indicates she is well within the healthy weight range according to WHO standards, suggesting good growth. The Z-score of 0.5 is also well within the normal range.

Example 2: Concern for Underweight

Scenario: Mark is a 12-month-old boy who has been a fussy eater. His parents are concerned he might be underweight.

  • Inputs: Age = 12 months, Weight = 8.2 kg, Gender = Male

Calculator Output:

  • Weight Percentile: 5%
  • WHO Category: Underweight
  • Expected Weight (Median): 9.6 kg
  • Weight for Age Z-Score: -1.8

Interpretation: Mark's weight is below the 3rd percentile and his Z-score of -1.8 is below -2. The calculator flags him as underweight. While this indicates a need for attention, it's crucial to note the median weight is 9.6 kg. His current weight is significantly below this. His parents should discuss these results with their pediatrician to investigate potential causes and recommend dietary adjustments or further evaluations. This highlights how the child weight calculator kg can prompt necessary medical consultations.

How to Use This Child Weight Calculator (kg)

Using this child weight calculator kg is straightforward and can provide valuable insights into your child's growth trajectory. Follow these steps:

  1. Enter Child's Age: Accurately input the child's age in months. Ensure you use full months (e.g., for a 1 year and 3-month-old, enter 15 months). Precision here is key for accurate comparison.
  2. Enter Child's Weight: Measure your child's weight using a reliable scale and enter it in kilograms (kg). If your scale uses pounds, convert it to kilograms (1 lb ≈ 0.453592 kg).
  3. Select Gender: Choose 'Male' or 'Female' as appropriate for the child. Growth standards differ slightly between sexes.
  4. Click 'Calculate Growth': Once all fields are populated, click the button. The calculator will process the information against WHO growth standards.

How to Read Results

  • Weight Percentile: This shows how your child ranks compared to others of the same age and sex. A 50th percentile means they weigh the same as 50% of children their age. A 90th percentile means they weigh more than 90% of peers.
  • WHO Category: This provides a simplified classification (e.g., Underweight, Healthy Weight, Overweight) based on established thresholds.
  • Expected Weight (Median): This is the standard or average weight (50th percentile) for a child of that age and sex. It provides a benchmark.
  • Weight for Age Z-Score: This is a statistical measure. A Z-score of 0 is the median. Scores between -2 and +1 are generally considered healthy. Scores below -2 may indicate underweight, and scores above +1.5 (or 2) may indicate overweight/obesity, depending on the specific guideline used.

Decision-Making Guidance

The results from the child weight calculator kg should guide your next steps:

  • Consistent Healthy Range: If your child is consistently within the healthy weight percentile range (e.g., 3rd to 85th), continue with regular monitoring and a balanced diet.
  • Slight Deviations: Minor fluctuations in percentiles are normal. Observe the trend over several measurements. Consult a pediatrician if the trend consistently moves towards the higher or lower end of the spectrum.
  • Underweight Concerns: If the calculator indicates underweight (e.g., below 3rd percentile or Z-score < -2), schedule an appointment with a pediatrician. They can rule out underlying medical conditions and advise on nutritional support.
  • Overweight Concerns: If the calculator indicates overweight or obesity (e.g., above 85th percentile or Z-score > +1), discuss healthy eating habits, physical activity levels, and screen time with your pediatrician.

Key Factors That Affect Child Weight Calculator (kg) Results

While the child weight calculator kg uses standardized data, several real-world factors can influence a child's weight and how it's interpreted:

  1. Genetics: A child's genetic makeup plays a significant role in their body composition, metabolism, and potential for growth. Some children are naturally leaner or more robust than others, even with similar diets and activity levels.
  2. Dietary Intake: The quantity and quality of food consumed are paramount. Adequate calorie, protein, vitamin, and mineral intake supports healthy growth. Conversely, insufficient intake can lead to underweight, while excessive intake of unhealthy foods can contribute to overweight or obesity. Consider the [Nutritional Needs for Toddlers]().
  3. Physical Activity Levels: Regular physical activity helps children build muscle, burn calories, and maintain a healthy weight. Sedentary lifestyles can contribute to weight gain.
  4. Health Conditions: Certain medical conditions, such as thyroid issues, celiac disease, or chronic illnesses, can significantly impact a child's weight gain or loss. Endocrine disorders are a common concern.
  5. Medications: Some medications can have side effects that influence appetite or metabolism, thereby affecting a child's weight.
  6. Sleep Quality and Quantity: Insufficient or poor-quality sleep can disrupt hormones that regulate appetite and metabolism, potentially affecting weight.
  7. Growth Spurts and Development Stages: Children experience periods of rapid growth (growth spurts) where weight gain might temporarily increase. They also go through different developmental phases that influence their activity and eating patterns. [Understanding Child Development Milestones]() can offer context.
  8. Measurement Accuracy: Inaccurate weighing or age recording will lead to incorrect results. Ensure measurements are taken correctly and consistently.

Frequently Asked Questions (FAQ)

What are the WHO growth charts?
The World Health Organization (WHO) provides standardized growth charts based on data from healthy, breastfed infants and young children worldwide. These charts are considered the international standard for assessing child growth up to age five. They track weight-for-age, length/height-for-age, and head circumference-for-age.
Is the 50th percentile the ideal weight for my child?
The 50th percentile represents the median weight – meaning half the children are above it, and half are below it. It's not necessarily "ideal," but rather a common reference point. A child consistently tracking along any percentile curve (within the healthy range) is generally considered to be growing well. Health is more about the growth *pattern* than a specific number.
How often should I use the child weight calculator?
For infants and toddlers, it's common to track weight monthly or at pediatrician visits. For older children, every few months or during annual check-ups is often sufficient, unless there are specific concerns about growth. Always consult your pediatrician for a recommended tracking schedule.
What does a negative Z-score mean?
A negative Z-score indicates that the child's weight is below the median weight for their age and sex. A Z-score of -1 means the child is one standard deviation below the median. A Z-score below -2 is typically considered underweight according to WHO standards.
Can this calculator predict future weight?
No, this calculator does not predict future weight. It assesses the child's current weight status based on past and present data. Future growth depends on many evolving factors like diet, activity, genetics, and health.
What if my child's weight percentile changes significantly?
Significant jumps or drops in percentile should be discussed with a pediatrician. While some fluctuation is normal, a consistent trend away from the child's established growth curve warrants investigation to ensure there are no underlying health or nutritional issues.
Does this calculator work for premature babies?
This specific calculator uses standard WHO growth charts designed for full-term infants and children. Premature babies often require specialized growth charts and assessment tools (like Fenton preterm growth charts) that account for their corrected age. Consult a neonatologist or pediatrician for guidance on tracking growth for premature infants.
How accurate are online calculators?
Online calculators like this one are accurate when they use reliable data sources (like WHO standards) and correct algorithms. However, they are supplementary tools. Always ensure your child's weight and age are measured accurately, and never rely solely on a calculator; professional medical advice is essential.

Related Tools and Internal Resources

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Disclaimer: This calculator is for informational purposes only and does not substitute professional medical advice. Consult a healthcare provider for any health concerns.

var WHO_GROWTH_DATA = { male: { months: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 48, 60], median_wt_kg: [3.7, 4.5, 5.3, 5.9, 6.4, 6.8, 7.1, 7.4, 7.6, 7.8, 8.0, 8.1, 8.3, 8.4, 8.6, 8.7, 8.8, 9.0, 9.1, 9.2, 9.3, 9.4, 9.5, 9.6, 9.7, 9.8, 9.9, 10.0, 10.1, 10.2, 10.3, 10.4, 10.5, 10.6, 10.7, 10.8, 10.9, 12.4, 14.0], sd3neg_wt_kg: [2.5, 2.9, 3.4, 3.8, 4.1, 4.4, 4.6, 4.8, 4.9, 5.1, 5.2, 5.3, 5.4, 5.5, 5.6, 5.7, 5.8, 5.9, 6.0, 6.1, 6.2, 6.3, 6.3, 6.4, 6.5, 6.6, 6.6, 6.7, 6.8, 6.8, 6.9, 6.9, 7.0, 7.0, 7.1, 7.1, 7.8, 8.7], sd3pos_wt_kg: [5.0, 5.9, 6.9, 7.6, 8.2, 8.6, 9.0, 9.3, 9.6, 9.8, 10.0, 10.2, 10.4, 10.5, 10.7, 10.8, 11.0, 11.1, 11.3, 11.4, 11.5, 11.6, 11.7, 11.8, 12.0, 12.1, 12.2, 12.3, 12.4, 12.5, 12.6, 12.7, 12.8, 12.9, 13.0, 13.1, 13.6, 15.7, 18.0] }, female: { months: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 48, 60], median_wt_kg: [3.5, 4.3, 5.1, 5.7, 6.2, 6.5, 6.8, 7.0, 7.2, 7.4, 7.5, 7.7, 7.8, 7.9, 8.1, 8.2, 8.3, 8.4, 8.6, 8.7, 8.8, 8.9, 9.0, 9.1, 9.2, 9.3, 9.4, 9.5, 9.5, 9.6, 9.7, 9.7, 9.8, 9.8, 9.9, 9.9, 10.0, 11.5, 13.1], sd3neg_wt_kg: [2.4, 2.8, 3.2, 3.6, 3.9, 4.2, 4.4, 4.6, 4.7, 4.9, 5.0, 5.1, 5.2, 5.3, 5.4, 5.5, 5.6, 5.6, 5.7, 5.8, 5.9, 5.9, 6.0, 6.1, 6.1, 6.2, 6.2, 6.3, 6.3, 6.4, 6.4, 6.5, 6.5, 6.5, 6.6, 6.6, 6.9, 7.8], sd3pos_wt_kg: [4.8, 5.7, 6.6, 7.2, 7.7, 8.1, 8.4, 8.6, 8.8, 9.0, 9.1, 9.3, 9.4, 9.5, 9.7, 9.8, 9.9, 10.0, 10.1, 10.2, 10.3, 10.4, 10.4, 10.5, 10.6, 10.7, 10.7, 10.8, 10.9, 10.9, 11.0, 11.0, 11.1, 11.1, 11.2, 11.2, 11.8, 14.1] } }; // Placeholder for chart data var chartData = { labels: [], median: [], lowerBound: [], upperBound: [], childWeight: [] }; var growthChart; function initializeChart() { var ctx = document.getElementById('growthChart').getContext('2d'); // Destroy previous chart instance if it exists if (window.growthChart) { window.growthChart.destroy(); } window.growthChart = new Chart(ctx, { type: 'line', data: { labels: chartData.labels, datasets: [ { label: '3rd Percentile (Lower Bound)', data: chartData.lowerBound, borderColor: 'rgba(255, 99, 132, 1)', backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Median Weight (50th Percentile)', data: chartData.median, borderColor: 'rgba(54, 162, 235, 1)', backgroundColor: 'rgba(54, 162, 235, 0.2)', fill: false, tension: 0.1, pointRadius: 0 }, { label: '97th Percentile (Upper Bound)', data: chartData.upperBound, borderColor: 'rgba(75, 192, 192, 1)', backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: '-1', // Fill between this dataset and the previous one tension: 0.1, pointRadius: 0 }, { label: 'Child\'s Weight', data: chartData.childWeight, borderColor: 'rgba(255, 206, 86, 1)', backgroundColor: 'rgba(255, 206, 86, 0.5)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 8 } ] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y + ' kg'; } return label; } } } } } }); } function populateChartData(ageMonths, childWeight, gender) { var data = WHO_GROWTH_DATA[gender]; chartData.labels = []; chartData.median = []; chartData.lowerBound = []; chartData.upperBound = []; chartData.childWeight = []; var maxAgeForChart = Math.max(ageMonths, 60); // Ensure child's age is visible, extend to 60 months var monthsArray = data.months; var medianArray = data.median_wt_kg; var sd3negArray = data.sd3neg_wt_kg; var sd3posArray = data.sd3pos_wt_kg; for (var i = 0; i <= maxAgeForChart; i++) { chartData.labels.push(i); // Find median, sd3neg, sd3pos for the current month using interpolation var medianVal = interpolateValue(monthsArray, medianArray, i); var sd3negVal = interpolateValue(monthsArray, sd3negArray, i); var sd3posVal = interpolateValue(monthsArray, sd3posArray, i); chartData.median.push(medianVal); chartData.lowerBound.push(sd3negVal); chartData.upperBound.push(sd3posVal); // Set child's weight marker at their specific age if (i === ageMonths) { chartData.childWeight.push(childWeight); } else { chartData.childWeight.push(null); // Use null for points not on the child's age line } } } // Helper function for linear interpolation function interpolateValue(xArray, yArray, x) { if (x = xArray[xArray.length – 1]) return yArray[yArray.length – 1]; for (var i = 0; i = xArray[i] && x <= xArray[i+1]) { var x1 = xArray[i], y1 = yArray[i]; var x2 = xArray[i+1], y2 = yArray[i+1]; return y1 + (y2 – y1) * (x – x1) / (x2 – x1); } } return null; // Should not happen if x is within bounds } function calculateGrowth() { var ageMonthsInput = document.getElementById('childAgeMonths'); var weightKgInput = document.getElementById('childWeightKg'); var genderSelect = document.getElementById('childGender'); var ageMonthsError = document.getElementById('childAgeMonthsError'); var weightKgError = document.getElementById('childWeightKgError'); // Clear previous errors ageMonthsError.textContent = ''; weightKgError.textContent = ''; var ageMonths = parseInt(ageMonthsInput.value); var weightKg = parseFloat(weightKgInput.value); var gender = genderSelect.value; // Input validation var isValid = true; if (isNaN(ageMonths) || ageMonths < 0) { ageMonthsError.textContent = 'Please enter a valid age in months (0 or greater).'; isValid = false; } if (isNaN(weightKg) || weightKg 0) { // Ensure SD is positive before division zScore = (weightKg – medianWeight) / standardDeviation; zScore = zScore.toFixed(2); // Round Z-score to 2 decimal places } else { zScore = 'N/A'; // Handle cases where SD approximation fails } } // Calculate Percentile (Approximation using Z-score and standard normal distribution function – complex without library) // OR use WHO lookup tables/functions if available. // A simpler approach: Find the closest month in the data and use its percentile, or interpolate. // For this example, we'll simulate percentile calculation based on Z-score and common distribution knowledge. // Exact percentile calculation requires inverse CDF of the WHO distribution or lookup tables. // Let's use a simpler approximation logic based on WHO categories. var percentile = '–'; var growthCategory = 'Data Unavailable'; if (zScore !== 'N/A' && !isNaN(zScore)) { zScore = parseFloat(zScore); // Ensure zScore is a number for comparisons if (zScore = -2.0 && zScore < -0.5) { // WHO defines underweight = -0.5 && zScore 1.0 && zScore 1.5) { growthCategory = 'Overweight/Obese'; percentile = 97 + (zScore – 1.5) * (100 – 97) / (2.5 – 1.5); // Rough calc for > P97 percentile = Math.max(97, percentile); } // Refine percentile calculation based on WHO standards (more accurate interpolation needed) // For simplicity, let's use direct lookup or a known percentile function if available. // Given we have median and SD approximation, we can try to estimate percentile. // The WHO documentation provides specific lookup tables or algorithms. // Without those, we are using approximations. // Re-evaluating percentile based on common WHO category cutoffs if (zScore < -2.0) { growthCategory = 'Underweight'; // Estimate percentile for Z = -2.0 && zScore = -1.0 && zScore 1.0 && zScore 1.5) { growthCategory = 'Overweight/Obese'; percentile = 95 + (zScore – 1.5) * (100 – 95) / (2.5 – 1.5); // Interpolate for Z > 1.5 percentile = Math.min(percentile, 99.9); // Cap at 99.9% } // Ensure percentile is a valid number and round it if (typeof percentile === 'number') { percentile = percentile.toFixed(1); } else { percentile = '–'; // Fallback } } else if (medianWeight !== "–") { // If Z-score calculation failed but median is available, try to categorize based on weight vs median if (weightKg = sd3negWeight && weightKg = medianWeight && weightKg sd3posWeight) { growthCategory = 'Overweight/Obese'; percentile = '97+'; // Approx } } // Update results display document.getElementById('weightPercentileResult').textContent = percentile === '–' ? '–' : percentile; document.getElementById('growthCategoryResult').textContent = growthCategory; document.getElementById('medianWeightResult').textContent = medianWeight === "–" ? "–" : medianWeight.toFixed(2); document.getElementById('zScoreResult').textContent = zScore === '–' ? '–' : zScore; // Update chart data and re-render populateChartData(ageMonths, weightKg, gender); initializeChart(); // Re-initialize chart with new data } function resetCalculator() { document.getElementById('childAgeMonths').value = 24; document.getElementById('childWeightKg').value = 12.5; document.getElementById('childGender').value = 'male'; // Clear errors document.getElementById('childAgeMonthsError').textContent = "; document.getElementById('childWeightKgError').textContent = "; calculateGrowth(); // Recalculate with default values } function copyResults() { var percentile = document.getElementById('weightPercentileResult').textContent; var category = document.getElementById('growthCategoryResult').textContent; var median = document.getElementById('medianWeightResult').textContent; var zscore = document.getElementById('zScoreResult').textContent; var assumptions = "Child's Age: " + document.getElementById('childAgeMonths').value + " months\n"; assumptions += "Child's Weight: " + document.getElementById('childWeightKg').value + " kg\n"; assumptions += "Gender: " + document.getElementById('childGender').options[document.getElementById('childGender').selectedIndex].text + "\n"; assumptions += "Based on WHO Growth Standards."; var resultsText = "Child Growth Analysis:\n"; resultsText += "———————-\n"; resultsText += "Weight Percentile: " + percentile + "%\n"; resultsText += "WHO Category: " + category + "\n"; resultsText += "Expected Weight (Median): " + median + " kg\n"; resultsText += "Weight for Age Z-Score: " + zscore + "\n\n"; resultsText += "Assumptions:\n" + assumptions; // Use the modern Clipboard API if available, otherwise fallback if (navigator.clipboard && window.isSecureContext) { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy: ', err); fallbackCopyTextToClipboard(resultsText); // Fallback }); } else { fallbackCopyTextToClipboard(resultsText); // Fallback for non-secure contexts or older browsers } } // Fallback copy function for older browsers or non-HTTPS contexts function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; textArea.style.top = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Copying text command was unsuccessful'; alert(msg); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Failed to copy text. Please copy manually.'); } document.body.removeChild(textArea); } // Accordion functionality for FAQs document.addEventListener('DOMContentLoaded', function() { var faqItems = document.querySelectorAll('.faq-item'); faqItems.forEach(function(item) { var question = item.querySelector('.faq-question'); question.addEventListener('click', function() { item.classList.toggle('open'); }); }); // Initial calculation on page load calculateGrowth(); }); // Add Chart.js script dynamically if not already present if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js'; // Use a specific version script.onload = function() { console.log('Chart.js loaded'); // Initial calculation after chart library is loaded calculateGrowth(); }; script.onerror = function() { console.error('Failed to load Chart.js'); // Optionally display a message to the user document.getElementById('chartContainer').innerHTML = 'Error loading chart visualization. Please try again later.'; }; document.head.appendChild(script); } else { // Chart.js is already loaded, proceed with calculation calculateGrowth(); }

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