Child Weight Chart Calculator Uk

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Child Weight Chart Calculator UK

Easily track and compare your child's weight against UK growth chart standards.

Child Weight Tracking Calculator

Enter the child's age in completed months.
Boy Girl Select the child's sex for accurate comparison.
Enter the child's current weight in kilograms.

Your Child's Growth Metrics

How it works: This calculator uses UK WHO growth chart data to estimate the centile position of your child's weight for their age and sex. The centile shows how your child's weight compares to other children of the same age and sex. For example, the 50th centile means the child's weight is typical for their age group.

Growth Chart Visualization

Weight (kg) vs. Age (Months) with Centile Lines

UK Average Weight Data (Approximate for reference)

Age (Months) Boy – Avg. Weight (kg) Girl – Avg. Weight (kg) 50th Centile (Boys) 50th Centile (Girls)

What is a Child Weight Chart Calculator UK?

{primary_keyword} is a digital tool designed to help parents, guardians, and healthcare professionals in the UK monitor a child's growth trajectory. It allows for the input of a child's age, sex, and weight to determine where that measurement falls on the established UK growth charts, specifically identifying its centile position. This provides a benchmark against thousands of other children, offering insights into whether the child is growing at a healthy rate relative to their peers.

Who should use it?

  • Parents and guardians wanting to understand their child's growth patterns between health visits.
  • Healthcare professionals (GPs, health visitors, paediatricians) as a quick reference tool.
  • Anyone seeking to compare a child's weight against UK-specific growth standards.

Common misconceptions:

  • A single centile determines health: A child's health is multifactorial. While centiles are important, consistent growth along a centile line or a slight shift is often more telling than the absolute centile number.
  • It's a diagnostic tool: This calculator is for tracking and comparison only. It does not diagnose any medical conditions. Always consult a healthcare professional for any concerns.
  • All children should be on the 50th centile: Children grow at different rates and can be healthy on various centiles (e.g., 9th, 25th, 75th). The key is sustained, appropriate growth.

{primary_keyword} Formula and Mathematical Explanation

The core of a {primary_keyword} involves comparing the child's measured weight against reference data points from established growth charts, typically derived from large population studies like those provided by the UK's National Health Service (NHS) or adapted from World Health Organization (WHO) standards. These charts are not simple linear formulas but are based on statistical distributions (often the LMS method – Lambda, Mu, Sigma) to model the distribution of weights for age and sex. For practical calculator purposes, we approximate this by finding the closest data points and interpolating.

Simplified Calculation Steps:

  1. Data Retrieval: The calculator accesses a pre-defined dataset of average weights and standard deviations (or centile values) for boys and girls across various age ranges (in months).
  2. Data Interpolation: If the child's exact age is not a data point, the calculator interpolates between the nearest age brackets to find approximate average weights and centile values.
  3. Centile Estimation: Using statistical methods (often involving Z-scores and the LMS parameters if available, or direct centile lookups), the calculator determines where the child's weight falls relative to the distribution for their specific age and sex.
  4. Comparison Metrics: The calculator derives additional metrics such as how the child's weight compares to the average (50th centile) and how their weight is tracking relative to their age.

Variables Involved:

Variable Meaning Unit Typical Range
Child's Age (A) Age of the child since birth. Months 0 – 60 (or as per chart limits)
Child's Sex (S) Biological sex of the child. Categorical (Boy/Girl) Boy, Girl
Child's Weight (W) Current measured weight of the child. Kilograms (kg) 0.5 – 30 (approx.)
Reference Data (Avg. WA,S) Average weight for the child's age and sex from growth charts. Kilograms (kg) Varies widely by age
Centile Value (CP,A,S) Weight corresponding to a specific percentile P (e.g., 3rd, 50th, 91st) for age A and sex S. Kilograms (kg) Varies widely by age
Estimated Centile Position (%) The calculated percentile rank of the child's weight. Percent (%) 0 – 100

Practical Examples (Real-World Use Cases)

Example 1: Tracking a Healthy 1-Year-Old Boy

Inputs:

  • Child's Age: 12 months
  • Child's Sex: Boy
  • Child's Weight: 10.2 kg

Calculation Output:

  • Primary Result: Approximately 50th Centile
  • Weight vs. Average: Child's weight is close to the UK average for a 12-month-old boy.
  • Age vs. Average: The child's growth appears to be tracking age-appropriately.
  • Centile Position: ~50%

Interpretation: This 12-month-old boy's weight of 10.2 kg places him around the 50th centile. This is considered a very typical and healthy position on the UK growth chart, indicating he is growing in line with the majority of boys his age. His growth seems to be following a standard pattern.

Example 2: Monitoring a 2-Year-Old Girl's Weight Gain

Inputs:

  • Child's Age: 24 months
  • Child's Sex: Girl
  • Child's Weight: 11.5 kg

Calculation Output:

  • Primary Result: Approximately 9th Centile
  • Weight vs. Average: Child's weight is below the UK average for a 24-month-old girl.
  • Age vs. Average: The child's weight gain might be slower than average.
  • Centile Position: ~9%

Interpretation: This 24-month-old girl weighs 11.5 kg, which falls around the 9th centile. This means her weight is higher than approximately 9% of girls her age in the UK. While still within the normal range, it is on the lower side. Parents might want to monitor her intake and growth closely and discuss any concerns with their health visitor or GP to ensure adequate nutrition and healthy development.

How to Use This {primary_keyword} Calculator

Using the {primary_keyword} is straightforward. Follow these steps:

  1. Enter Child's Age: Input the child's age in completed months into the "Child's Age (Months)" field.
  2. Select Child's Sex: Choose either "Boy" or "Girl" from the dropdown menu.
  3. Enter Child's Weight: Input the child's current weight in kilograms (kg) into the "Child's Weight (kg)" field. Ensure accuracy for the best results.
  4. Click 'Calculate Centile': Press the button to see the results.

How to Read Results:

  • Primary Result (Centile): This is the main indicator. A centile represents the percentage of children of the same age and sex that fall below that specific weight. For example, the 50th centile is the average; the 9th centile means 9% of children are lighter.
  • Weight vs. Average: Compares the child's current weight to the average weight (50th centile) for their age and sex.
  • Age vs. Average: Provides a general indication of whether the child's weight is tracking appropriately for their age.
  • Centile Position: A numerical representation of the centile, useful for quick understanding.
  • Growth Chart Visualization: The dynamic chart plots the child's data point against the standard centile lines, offering a visual representation of their growth trajectory.
  • Average Weight Table: Shows reference average weights and centile points for context.

Decision-Making Guidance:

  • Consistent Growth: Look for a pattern where the child stays on or near a particular centile line over time. This indicates steady, healthy growth.
  • Significant Shifts: A sudden jump or drop across multiple centiles might warrant a discussion with a healthcare professional.
  • Extreme Centiles: Children consistently below the 3rd centile or above the 97th centile should always be discussed with a doctor or health visitor to rule out any underlying issues.
  • Use as a Guide: Remember, this tool is a guide. Individual growth patterns vary, and a healthcare professional's assessment is paramount.

Key Factors That Affect {primary_keyword} Results

While the calculator provides a centile based on age, sex, and weight, several factors influence a child's growth and can affect where they sit on the chart:

  1. Genetics: A child's inherited predisposition plays a significant role. Parents who were taller or heavier might naturally have children who track higher on the growth charts.
  2. Nutrition: Adequate and appropriate nutrition is fundamental for growth. Dietary intake, absorption issues, or feeding difficulties can significantly impact weight gain. A balanced diet for children is crucial.
  3. Health Conditions: Underlying medical issues, such as chronic illnesses, metabolic disorders, or gastrointestinal problems, can affect appetite, nutrient absorption, and overall growth rate.
  4. Prematurity: Premature babies often have a corrected age used for growth charts initially, as their development may lag slightly behind full-term infants. This calculator assumes chronological age.
  5. Physical Activity Levels: While less impactful on weight centiles for very young children, high activity levels in toddlers and older children can influence their energy balance and weight gain patterns.
  6. Sleep Patterns: Sufficient sleep is vital for growth hormone release and overall well-being, indirectly influencing growth rate.
  7. Environmental Factors: Consistent access to healthcare, safe living conditions, and parental care support a child's ability to thrive and grow as expected.
  8. Measurement Accuracy: Inaccurate weighing or age recording will lead to incorrect centile placement. Consistent and accurate measurements are key.

Frequently Asked Questions (FAQ)

Q1: What are centiles on a UK child weight chart?

A1: Centiles (or percentiles) indicate the percentage of children of the same age and sex who weigh less than the value shown. For example, a child on the 25th centile weighs less than 75% of children their age and sex.

Q2: Is it bad if my child is on a low centile?

A2: Not necessarily. Being on a low centile (e.g., below the 9th) is only a concern if it's significantly outside the child's previous pattern, if there's a sudden drop, or if the child shows other signs of poor health or development. Consistent growth along a lower centile can be perfectly healthy.

Q3: Is it bad if my child is on a high centile?

A3: Similar to low centiles, being on a high centile (e.g., above the 91st) isn't automatically bad. However, rapid weight gain or consistently tracking above the 97th centile warrants discussion with a healthcare professional to monitor for potential health risks associated with higher weight.

Q4: How often should I track my child's weight?

A4: Regular tracking is usually done at routine health check-ups with a GP or health visitor. For home use, using the calculator periodically (e.g., monthly for infants, quarterly for toddlers) can help monitor trends, but avoid excessive worry over single measurements.

Q5: Does this calculator use the latest NHS growth charts?

A5: This calculator is based on established UK growth data standards, typically aligned with WHO guidelines as adopted by the UK. For definitive medical assessment, always refer to official NHS growth chart resources.

Q6: My child was premature. How do I use this calculator?

A6: For premature babies, healthcare professionals often use a "corrected age" for growth chart plotting. This calculator uses chronological age. It's best to consult your health visitor or GP on how to interpret growth charts for premature infants.

Q7: What is the difference between weight and BMI centiles?

A7: This calculator focuses on weight centiles. BMI centiles (which consider both weight and height) are typically used for older children and are more indicative of body composition and potential weight status categories (underweight, healthy weight, overweight, obese).

Q8: Can I use this calculator for children outside the UK?

A8: This calculator is specifically designed using UK growth standards. Growth patterns can vary globally due to different genetics, nutrition, and environmental factors. For children outside the UK, it's best to use local or WHO standard growth charts.

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// Data for UK growth charts (simplified approximations for demonstration) // Source: Based on general trends from NHS/WHO data for boys and girls. // For precise clinical use, always refer to official charts. var growthData = { boys: { // Age in months: [avg_weight_kg, 3rd_percentile_kg, 50th_percentile_kg, 97th_percentile_kg] 0: [3.9, 2.5, 3.9, 5.5], 1: [5.2, 3.5, 5.3, 7.1], 2: [6.2, 4.3, 6.4, 8.4], 3: [7.0, 4.9, 7.3, 9.5], 4: [7.7, 5.4, 8.0, 10.5], 5: [8.3, 5.9, 8.6, 11.3], 6: [8.8, 6.3, 9.1, 12.0], 7: [9.3, 6.7, 9.6, 12.7], 8: [9.7, 7.0, 10.0, 13.3], 9: [10.1, 7.4, 10.4, 14.0], 10: [10.4, 7.7, 10.7, 14.5], 11: [10.7, 7.9, 11.0, 15.0], 12: [10.9, 8.1, 11.2, 15.4], 15: [11.6, 8.7, 11.9, 16.5], 18: [12.2, 9.1, 12.5, 17.4], 24: [13.1, 9.7, 13.4, 18.8], 30: [13.9, 10.3, 14.2, 20.1], 36: [14.6, 10.8, 14.9, 21.3], 48: [15.9, 11.6, 16.2, 23.4], 60: [17.0, 12.3, 17.3, 25.2] }, girls: { // Age in months: [avg_weight_kg, 3rd_percentile_kg, 50th_percentile_kg, 97th_percentile_kg] 0: [3.6, 2.3, 3.6, 5.2], 1: [4.9, 3.3, 4.9, 6.8], 2: [5.8, 4.0, 5.9, 8.1], 3: [6.5, 4.6, 6.7, 9.1], 4: [7.1, 5.1, 7.3, 10.0], 5: [7.6, 5.5, 7.8, 10.7], 6: [8.1, 5.9, 8.3, 11.4], 7: [8.5, 6.2, 8.7, 12.0], 8: [8.9, 6.5, 9.1, 12.6], 9: [9.2, 6.8, 9.4, 13.1], 10: [9.5, 7.0, 9.7, 13.6], 11: [9.8, 7.2, 10.0, 14.0], 12: [10.0, 7.4, 10.2, 14.3], 15: [10.6, 7.8, 10.8, 15.2], 18: [11.1, 8.2, 11.3, 16.1], 24: [11.9, 8.7, 12.1, 17.3], 30: [12.6, 9.2, 12.8, 18.4], 36: [13.3, 9.6, 13.5, 19.4], 48: [14.4, 10.3, 14.7, 21.3], 60: [15.4, 10.9, 15.7, 22.9] } }; var chart = null; // Declare chart variable globally function getGrowthDataPoint(age, sex) { var dataSet = growthData[sex] || growthData.boys; // Default to boys if sex is invalid var ages = Object.keys(dataSet).map(Number).sort(function(a, b){ return a – b; }); var lowerAge = ages[0]; var upperAge = ages[ages.length – 1]; age = Math.max(age, lowerAge); age = Math.min(age, upperAge); var lowerIndex = ages.findIndex(function(a) { return a >= age; }); if (lowerIndex === -1) lowerIndex = ages.length – 1; // Should not happen with min/max clamping var ageLower = ages[lowerIndex]; var ageUpper = (lowerIndex + 1 < ages.length) ? ages[lowerIndex + 1] : ageLower; // Use current age if last one if (age === ageLower) { return dataSet[ageLower]; } if (ageLower === ageUpper) { // If only one data point or age is exactly on it return dataSet[ageLower]; } var lowerData = dataSet[ageLower]; var upperData = dataSet[ageUpper]; var ratio = (age – ageLower) / (ageUpper – ageLower); var interpolatedData = lowerData.map(function(val, index) { return val + ratio * (upperData[index] – val); }); return interpolatedData; } function calculateCentile(weight, dataPoint) { if (!dataPoint) return null; var avgWeight = dataPoint[2]; // 50th percentile var weight3rd = dataPoint[1]; // 3rd percentile var weight97th = dataPoint[3]; // 97th percentile if (weight weight97th) { // Simple linear estimation above 97th percentile return 97 + ((weight – weight97th) / (dataPoint[0] – weight97th)) * 3; // Crude extrapolation } else { // Interpolate between 3rd and 97th percentile var weightRange = weight97th – weight3rd; var positionInRange = weight – weight3rd; var percentage = (positionInRange / weightRange) * (97 – 3) + 3; return percentage; } } function calculateWeightCentile() { var ageInput = document.getElementById('childAge'); var sexInput = document.getElementById('childSex'); var weightInput = document.getElementById('childWeight'); var ageError = document.getElementById('childAgeError'); var weightError = document.getElementById('childWeightError'); var sexError = document.getElementById('childSexError'); // Though select usually handles errors differently // Clear previous errors ageError.style.display = 'none'; weightError.style.display = 'none'; sexError.style.display = 'none'; var age = parseInt(ageInput.value); var sex = sexInput.value; var weight = parseFloat(weightInput.value); // Validation var isValid = true; if (isNaN(age) || age < 0) { ageError.textContent = 'Please enter a valid age in months (0 or greater).'; ageError.style.display = 'block'; isValid = false; } if (isNaN(weight) || weight <= 0) { weightError.textContent = 'Please enter a valid weight in kilograms (greater than 0).'; weightError.style.display = 'block'; isValid = false; } // Sex is inherently valid due to select, but good practice to check if needed if (!sex) { sexError.textContent = 'Please select a sex.'; sexError.style.display = 'block'; isValid = false; } if (!isValid) { document.getElementById('primaryResult').textContent = '–'; document.getElementById('weightVsAverage').innerHTML = 'Weight vs. Avg: '; document.getElementById('ageVsAverage').innerHTML = 'Age Tracking: '; document.getElementById('centilePosition').innerHTML = 'Centile Position: '; clearChart(); return; } var dataPoint = getGrowthDataPoint(age, sex); var avgWeight = dataPoint ? dataPoint[2] : null; // 50th percentile var centile = calculateCentile(weight, dataPoint); var primaryResultElement = document.getElementById('primaryResult'); var weightVsAverageElement = document.getElementById('weightVsAverage'); var ageVsAverageElement = document.getElementById('ageVsAverage'); var centilePositionElement = document.getElementById('centilePosition'); if (centile !== null && avgWeight !== null) { var roundedCentile = Math.round(centile); primaryResultElement.textContent = roundedCentile + 'th Centile'; primaryResultElement.style.backgroundColor = getCentileColor(roundedCentile); var weightDiff = weight – avgWeight; var weightDiffText = ""; if (Math.abs(weightDiff) 0) { weightDiffText = "Above average"; } else { weightDiffText = "Below average"; } weightVsAverageElement.innerHTML = 'Weight vs. Avg: ' + weightDiffText + ' (' + avgWeight.toFixed(1) + ' kg avg)'; // Simple age tracking assessment var ageTrackingText = "Tracking appropriately"; if (roundedCentile < 9 && weight 91 && weight > avgWeight * 1.1) ageTrackingText = "Potentially fast tracking"; ageVsAverageElement.innerHTML = 'Age Tracking: ' + ageTrackingText + ''; centilePositionElement.innerHTML = 'Centile Position: ' + roundedCentile + '%'; updateChart(age, weight, sex); } else { primaryResultElement.textContent = 'N/A'; weightVsAverageElement.innerHTML = 'Weight vs. Avg: N/A'; ageVsAverageElement.innerHTML = 'Age Tracking: N/A'; centilePositionElement.innerHTML = 'Centile Position: N/A'; clearChart(); } } function getCentileColor(centile) { if (centile < 3) return '#dc3545'; // Red for very low if (centile < 9) return '#ffc107'; // Amber for low if (centile < 91) return '#28a745'; // Green for normal range if (centile < 97) return '#ffc107'; // Amber for high return '#dc3545'; // Red for very high } function updateChart(currentAge, currentWeight, sex) { var canvas = document.getElementById('chartCanvas'); var ctx = canvas.getContext('2d'); if (chart) { chart.destroy(); // Destroy previous chart instance } // Prepare chart data var labels = Object.keys(growthData[sex]).map(Number); var avgWeights = labels.map(function(age) { return getGrowthDataPoint(age, sex)[2]; }); // 50th var weights3rd = labels.map(function(age) { return getGrowthDataPoint(age, sex)[1]; }); // 3rd var weights97th = labels.map(function(age) { return getGrowthDataPoint(age, sex)[3]; }); // 97th // Add current data point var allLabels = labels.concat([currentAge]).sort(function(a, b){ return a – b; }); var uniqueLabels = Array.from(new Set(allLabels)); // Remove duplicates var finalAvgWeights = uniqueLabels.map(function(age) { return getGrowthDataPoint(age, sex)[2]; }); var finalWeights3rd = uniqueLabels.map(function(age) { return getGrowthDataPoint(age, sex)[1]; }); var finalWeights97th = uniqueLabels.map(function(age) { return getGrowthDataPoint(age, sex)[3]; }); // Ensure current point is plotted correctly, even if age doesn't match existing labels var currentIndex = uniqueLabels.indexOf(currentAge); if (currentIndex === -1) { // If currentAge is new and not perfectly aligned uniqueLabels.push(currentAge); uniqueLabels.sort(function(a, b){ return a – b; }); finalAvgWeights = uniqueLabels.map(function(age) { return getGrowthDataPoint(age, sex)[2]; }); finalWeights3rd = uniqueLabels.map(function(age) { return getGrowthDataPoint(age, sex)[1]; }); finalWeights97th = uniqueLabels.map(function(age) { return getGrowthDataPoint(age, sex)[3]; }); } // Add the current point to the series var currentWeightData = uniqueLabels.map(function(age) { return age === currentAge ? currentWeight : null; }); chart = new Chart(ctx, { type: 'line', data: { labels: uniqueLabels.map(function(age){ return age === 0 ? '<1m' : age + 'm'; }), // Format labels datasets: [{ label: '97th Centile', data: finalWeights97th, borderColor: 'rgba(255, 193, 7, 0.7)', // Amber backgroundColor: 'rgba(255, 193, 7, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: '50th Centile (Average)', data: finalAvgWeights, borderColor: 'rgba(40, 167, 69, 0.8)', // Green backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: '3rd Centile', data: finalWeights3rd, borderColor: 'rgba(220, 53, 69, 0.7)', // Red backgroundColor: 'rgba(220, 53, 69, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Child\'s Weight', data: currentWeightData, borderColor: 'rgba(0, 74, 153, 1)', // Primary Blue backgroundColor: 'rgba(0, 74, 153, 0.2)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 8 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' }, beginAtZero: false }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: true, suggestedMin: 0 } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Child Weight Growth Curve (UK Standards)' } } } }); } function clearChart() { var canvas = document.getElementById('chartCanvas'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); if (chart) { chart.destroy(); chart = null; } } function populateGrowthTable() { var tableBody = document.getElementById('growthTableBody'); tableBody.innerHTML = ''; // Clear existing rows var sexes = ['boys', 'girls']; var ages = [0, 3, 6, 9, 12, 15, 18, 24, 30, 36, 48, 60]; // Sample ages for (var i = 0; i < ages.length; i++) { var age = ages[i]; var row = document.createElement('tr'); var ageCell = document.createElement('td'); ageCell.textContent = age === 0 ? '<1m' : age + 'm'; row.appendChild(ageCell); for (var s = 0; s < sexes.length; s++) { var sex = sexes[s]; var dataPoint = getGrowthDataPoint(age, sex); if (dataPoint) { var avgWeightCell = document.createElement('td'); avgWeightCell.textContent = dataPoint[2].toFixed(1); // 50th percentile row.appendChild(avgWeightCell); var p50Cell = document.createElement('td'); p50Cell.textContent = dataPoint[2].toFixed(1); // Already avg, so 50th row.appendChild(p50Cell); } else { var emptyCell1 = document.createElement('td'); emptyCell1.textContent = '-'; row.appendChild(emptyCell1); var emptyCell2 = document.createElement('td'); emptyCell2.textContent = '-'; row.appendChild(emptyCell2); } } tableBody.appendChild(row); } } function resetCalculator() { document.getElementById('childAge').value = ''; document.getElementById('childSex').value = 'boy'; document.getElementById('childWeight').value = ''; document.getElementById('primaryResult').textContent = '–'; document.getElementById('weightVsAverage').innerHTML = 'Weight vs. Avg: '; document.getElementById('ageVsAverage').innerHTML = 'Age Tracking: '; document.getElementById('centilePosition').innerHTML = 'Centile Position: '; document.getElementById('childAgeError').style.display = 'none'; document.getElementById('childWeightError').style.display = 'none'; clearChart(); } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var weightVsAvg = document.getElementById('weightVsAverage').innerText.replace('Weight vs. Avg:', 'Weight vs. Average:'); var ageVsAvg = document.getElementById('ageVsAverage').innerText.replace('Age Tracking:', 'Age Tracking:'); var centilePos = document.getElementById('centilePosition').innerText.replace('Centile Position:', 'Centile Position:'); var assumptions = "Key Assumptions:\n- UK Growth Standards\n- Chronological Age Used\n- Accurate Measurements"; var resultsText = "— Child Weight Chart Results —\n\n"; resultsText += "Primary Result: " + primaryResult + "\n"; resultsText += weightVsAvg + "\n"; resultsText += ageVsAvg + "\n"; resultsText += centilePos + "\n\n"; resultsText += assumptions + "\n"; // Use navigator.clipboard if available, fallback to older method if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy text: ', err); fallbackCopyTextToClipboard(resultsText); // Fallback for older browsers/permissions issues }); } else { fallbackCopyTextToClipboard(resultsText); } } // Fallback for clipboard API not available or denied function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; // Avoid scrolling to bottom textArea.style.top = "0"; textArea.style.left = "0"; textArea.style.position = "fixed"; 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 results. Please copy manually.'); } document.body.removeChild(textArea); } // Initial setup on page load window.onload = function() { populateGrowthTable(); // Trigger calculation if inputs are pre-filled (e.g., from URL params) // For simplicity, we'll just update the table and chart structure on load. // A real-time update could be added by calling calculateWeightCentile() here // if initial values are present. };

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