Child Age and Weight Calculator

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Child Age and Weight Calculator

Child Growth Tracker

Enter the child's age from birth up to 20 years (240 months).
Enter the child's current weight in kilograms.
Male Female Select the child's sex for more accurate percentile comparisons.

Growth Analysis

Weight-for-Age:
Height-for-Age:
BMI-for-Age:
How it works: This calculator compares your child's weight and age against standard WHO (World Health Organization) growth charts for their sex. It calculates percentiles for weight-for-age, height-for-age, and BMI-for-age, indicating where your child falls on the growth curve relative to other children of the same age and sex. A percentile of 50 means the child is at the average for their age.
Weight-for-Age (kg) Expected Growth Range (kg)

What is a Child Age and Weight Calculator?

A Child Age and Weight Calculator is a digital tool designed to help parents, caregivers, and healthcare professionals assess a child's physical growth. It uses a child's age and weight (and often height and sex) to compare their measurements against established growth charts or statistical data. The primary goal is to understand if a child's growth is within the expected range for their age, offering insights into their nutritional status and overall development. This tool is particularly valuable for tracking growth patterns over time and identifying potential concerns early on.

Who should use it:

  • Parents and Guardians: To monitor their child's growth between pediatrician visits and gain peace of mind.
  • Pediatricians and Family Doctors: As a quick reference tool during well-child check-ups to plot growth and discuss concerns.
  • Nutritionists and Dietitians: To evaluate a child's nutritional intake and identify potential issues like underweight or overweight.
  • Childcare Providers: To ensure children in their care are meeting typical developmental milestones.

Common Misconceptions:

  • "A specific number is 'perfect'": Growth is a range, not a single point. The 50th percentile is average, but being in the 10th or 90th percentile can still be perfectly healthy if the child's growth is consistent.
  • "This replaces a doctor's visit": The calculator is an informational tool. Only a healthcare professional can provide a definitive diagnosis and medical advice.
  • "All children grow the same": Genetics, nutrition, and health conditions play significant roles. This tool provides a comparison to general standards, not a rigid expectation.

Child Age and Weight Calculator Formula and Mathematical Explanation

The core of the Child Age and Weight Calculator relies on comparing a child's measurements to standardized growth charts, most commonly those developed by the World Health Organization (WHO) for children aged 0-5 years and the CDC (Centers for Disease Control and Prevention) for older children. These charts are based on extensive data and represent percentiles.

Calculating Percentiles

While the exact statistical formulas used to generate the original WHO/CDC charts are complex and involve methods like the WHO Anthro software or similar statistical packages, a calculator often simplifies this. For a user inputting age and weight, the calculator essentially looks up the corresponding percentile value for that age and sex from a pre-programmed dataset that mirrors the official charts.

Key Metrics Calculated:

  • Weight-for-Age Percentile: Compares the child's weight to the median weight of children of the same age and sex. A higher percentile means the child weighs more relative to others.
  • Height-for-Age Percentile: Compares the child's height to the median height of children of the same age and sex.
  • BMI-for-Age Percentile: This is a crucial indicator for assessing weight status. It compares the child's Body Mass Index (BMI) to the median BMI of children of the same age and sex. This percentile helps classify weight status (e.g., underweight, healthy weight, overweight, obese).

Simplified Calculation Logic (Conceptual):

The calculator accesses internal data arrays or lookup tables. When you input age (in months) and sex, it queries these tables to find the expected weight range and median values for that specific age and sex. It then determines where your child's inputted weight falls within this distribution and assigns a percentile.

For BMI, the calculation is:

BMI = Weight (kg) / (Height (m) * Height (m))

Note: For this calculator's input, we are focusing on Weight-for-Age and BMI-for-Age percentile based on standard charts. Height-for-Age is also commonly calculated and displayed.

Variables Table for Growth Data Lookup

Variable Meaning Unit Typical Range (for reference)
Age Child's age from birth Months 0 – 240 (0-20 years)
Sex Biological sex of the child Categorical (Male/Female) Male, Female
Weight Child's current weight Kilograms (kg) 0.1 kg – 200 kg
Height Child's current height (used for BMI) Meters (m) 0.5 m – 1.8 m
Weight-for-Age Percentile Position of child's weight relative to peers % 0 – 100
BMI-for-Age Percentile Position of child's BMI relative to peers % 0 – 100

Practical Examples (Real-World Use Cases)

Example 1: A Toddler's Check-up

Scenario: Sarah is a concerned parent bringing her 18-month-old son, Leo, for his regular check-up. Leo is a very active child and eats well, but Sarah worries he might be too small. The pediatrician uses the Child Age and Weight Calculator.

Inputs:

  • Age: 18 months
  • Weight: 10.5 kg
  • Sex: Male

Calculator Outputs:

  • Primary Result (Interpretation): Your child is at the 40th percentile for weight-for-age.
  • Weight-for-Age: 40th Percentile
  • Height-for-Age: 55th Percentile
  • BMI-for-Age: 30th Percentile

Financial/Health Interpretation: The results show Leo is growing well and is slightly below average in weight but well within the healthy range, especially considering his higher percentile for height. This indicates a good proportion and suggests his activity level contributes to his build. Sarah can be reassured that Leo is tracking along a healthy growth curve, preventing unnecessary spending on potentially unneeded supplements or dietary changes and avoiding anxiety.

Example 2: Monitoring a School-Aged Child

Scenario: A school nurse is using a Child Age and Weight Calculator to screen students. They input data for 8-year-old Emily.

Inputs:

  • Age: 96 months (8 years)
  • Weight: 32 kg
  • Sex: Female
  • Height: 130 cm (which is 1.3 meters)

Calculator Outputs:

  • Primary Result (Interpretation): Your child is at the 85th percentile for BMI-for-age.
  • Weight-for-Age: 70th Percentile
  • Height-for-Age: 60th Percentile
  • BMI-for-Age: 85th Percentile

Financial/Health Interpretation: Emily's weight and height percentiles are in the healthy to slightly above average range. However, her BMI-for-age at the 85th percentile suggests she is in the overweight category according to standard classifications (typically 85th-94th percentile). This finding prompts the nurse to recommend further discussion with Emily's parents and pediatrician about nutrition and physical activity to encourage a shift towards a healthier weight trajectory. Proactive management here can help avoid future health issues, potentially saving significant healthcare costs associated with conditions like type 2 diabetes or heart disease later in life.

How to Use This Child Age and Weight Calculator

Using the Child Age and Weight Calculator is straightforward and provides valuable insights into your child's growth. Follow these simple steps:

  1. Enter Child's Age: Input the child's exact age in months into the 'Child's Age (in months)' field. For example, 3 years is 36 months. Ensure the age is within the supported range (0-240 months).
  2. Enter Child's Weight: Provide the child's current weight in kilograms (kg) in the 'Child's Weight (in kg)' field. Be as accurate as possible.
  3. Select Child's Sex: Choose 'Male' or 'Female' from the dropdown menu. This is important as growth patterns differ between sexes.
  4. View Results: Once you enter the details, the results will update automatically.
    • The Primary Result highlights the key takeaway, often the BMI-for-age percentile, which is a primary indicator of weight status.
    • Intermediate Values show the specific percentiles for weight-for-age, height-for-age, and BMI-for-age.
    • The Formula Explanation provides context on what these percentiles mean.
  5. Interpret the Results:
    • Percentiles 50-85: Generally considered within the healthy weight range for BMI-for-age, though the higher end may warrant attention to nutrition and activity.
    • Percentiles below 5: May indicate underweight.
    • Percentiles 85-94: Indicate overweight.
    • Percentiles 95 and above: Indicate obesity.
    • For weight-for-age and height-for-age, consistently tracking along a percentile curve is more important than the specific number. A sudden drop or jump can be significant.
  6. Use the Buttons:
    • Reset: Click this to clear all fields and return them to sensible default values.
    • Copy Results: This button copies the main result, intermediate values, and key assumptions (like the data source) to your clipboard, useful for sharing with a pediatrician or for your records.

Decision-Making Guidance: These results should be discussed with a healthcare professional. They provide a snapshot but don't replace a comprehensive medical evaluation. If results indicate concerns, consult your pediatrician to develop a personalized plan for your child's health and development.

Key Factors That Affect Child Growth

While the Child Age and Weight Calculator provides a comparison to standard growth curves, several factors influence an individual child's growth trajectory. Understanding these can help interpret the calculator's results more effectively:

  1. Genetics: A child's genetic makeup plays a significant role in their potential height and build. If parents are tall, their children are likely to be tall. Similarly, certain genetic conditions can affect growth rates. This is an intrinsic factor beyond the calculator's scope.
  2. Nutrition: Adequate intake of calories, protein, vitamins, and minerals is fundamental for growth. Malnutrition can lead to stunted growth (low height-for-age) and low weight (low weight-for-age). Conversely, excessive intake of calorie-dense, nutrient-poor foods can lead to unhealthy weight gain.
  3. Health Status & Illness: Chronic illnesses, gastrointestinal issues affecting nutrient absorption, or conditions like thyroid problems can significantly impact a child's growth. Frequent illnesses can also temporarily slow growth.
  4. Sleep: Growth hormone is primarily released during deep sleep. Consistent, adequate sleep is crucial for optimal physical development, especially in younger children.
  5. Physical Activity: Regular exercise contributes to healthy muscle development, bone strength, and overall well-being. While excessive activity without sufficient caloric intake could theoretically impact weight, moderate activity generally supports healthy growth and prevents obesity.
  6. Socioeconomic Factors: Access to quality nutrition, healthcare, safe environments, and parental education levels can indirectly influence a child's growth. Poverty can be associated with higher rates of malnutrition and developmental delays.
  7. Hormonal Factors: Hormones like growth hormone, thyroid hormone, and insulin are critical regulators of growth. Imbalances can lead to conditions like dwarfism or gigantism.
  8. Prenatal Environment: A mother's health, nutrition, and exposure to harmful substances during pregnancy can impact fetal growth and set the stage for a child's early growth patterns.

Considering these factors alongside the Child Age and Weight Calculator results provides a more holistic picture of a child's development.

Frequently Asked Questions (FAQ)

Q1: Is a 50th percentile weight always good?

A1: The 50th percentile represents the median – half the children are above it, and half are below. It's considered average. However, the most important factor is that the child is consistently tracking along *their* percentile curve. A child consistently in the 25th percentile might be perfectly healthy if they stay there. A sudden drop or rise is usually more concerning.

Q2: My child is tall but skinny. Is that a problem?

A2: This calculator's BMI-for-age percentile is key here. If your child has a high height-for-age percentile but a lower BMI-for-age percentile (e.g., 30th), it suggests they have a lean build, which is often healthy, especially if they are active. Discuss any concerns with your pediatrician.

Q3: Can this calculator predict future growth?

A3: No, this calculator provides a snapshot based on current measurements and historical data charts. It does not predict future growth trajectories, which can be influenced by many changing factors throughout childhood.

Q4: What if my child's age is measured in years and months?

A4: You need to convert the total age into months. For example, 2 years and 6 months is (2 * 12) + 6 = 30 months. Ensure you use the total number of months for accurate results.

Q5: What units of measurement does the calculator use?

A5: The calculator requires the child's age in months and weight in kilograms (kg). If your measurements are in pounds or feet/inches, you'll need to convert them first.

Q6: How often should I use a child age and weight calculator?

A6: It's best used in conjunction with your pediatrician's schedule. You can use it between visits to track progress, but rely on your doctor for formal assessments and advice. Annual physicals are standard, with more frequent check-ups for infants and toddlers.

Q7: What does it mean if my child is in the 90th percentile for weight and 70th for height?

A7: This suggests your child is heavier than 90% of children their age and taller than 70% of children their age. This could indicate a higher-than-average weight status, and the BMI-for-age percentile (which this calculator also shows) would be crucial for a clearer picture of whether this is simply a larger frame or potentially overweight.

Q8: Are the WHO and CDC charts the same?

A8: The WHO charts are generally used for children aged 0-5 years globally, while the CDC charts are typically used for children aged 2-19 years in the United States. This calculator aims to use appropriate data based on age ranges, but consult your pediatrician for the specific charts they use.

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Percentile calculation is complex and often uses lookup tables or specialized software. // This simplified data represents median and approximate range (median +/- 1.5 SD for a rough estimate of 5th-95th percentile). var growthData = [ { age: 0, m_w: 3.5, f_w: 3.2, m_h: 50, f_h: 49, m_bmi: 12.5, f_bmi: 12.3 }, // ~0 months { age: 3, m_w: 6.0, f_w: 5.5, m_h: 62, f_h: 60, m_bmi: 14.5, f_bmi: 14.2 }, { age: 6, m_w: 7.5, f_w: 7.0, m_h: 68, f_h: 66, m_bmi: 16.0, f_bmi: 15.8 }, { age: 9, m_w: 8.5, f_w: 8.0, m_h: 72, f_h: 70, m_bmi: 17.0, f_bmi: 16.8 }, { age: 12, m_w: 9.5, f_w: 9.0, m_h: 76, f_h: 74, m_bmi: 17.5, f_bmi: 17.3 }, { age: 18, m_w: 11.0, f_w: 10.5, m_h: 82, f_h: 80, m_bmi: 18.0, f_bmi: 17.8 }, { age: 24, m_w: 12.5, f_w: 12.0, m_h: 88, f_h: 86, m_bmi: 18.5, f_bmi: 18.3 }, { age: 36, m_w: 14.5, f_w: 14.0, m_h: 95, f_h: 93, m_bmi: 19.0, f_bmi: 18.8 }, { age: 48, m_w: 16.5, f_w: 16.0, m_h: 102, f_h: 100, m_bmi: 19.5, f_bmi: 19.3 }, { age: 60, m_w: 18.5, f_w: 18.0, m_h: 109, f_h: 107, m_bmi: 20.0, f_bmi: 19.8 }, { age: 72, m_w: 20.5, f_w: 19.8, m_h: 115, f_h: 113, m_bmi: 20.5, f_bmi: 20.2 }, { age: 84, m_w: 22.8, f_w: 21.9, m_h: 121, f_h: 119, m_bmi: 21.0, f_bmi: 20.7 }, { age: 96, m_w: 25.2, f_w: 24.1, m_h: 127, f_h: 125, m_bmi: 21.5, f_bmi: 21.2 }, { age: 108, m_w: 27.8, f_w: 26.3, m_h: 132, f_h: 130, m_bmi: 22.0, f_bmi: 21.7 }, { age: 120, m_w: 30.5, f_w: 28.8, m_h: 137, f_h: 135, m_bmi: 22.5, f_bmi: 22.2 }, { age: 132, m_w: 33.5, f_w: 31.5, m_h: 142, f_h: 140, m_bmi: 23.0, f_bmi: 22.7 }, { age: 144, m_w: 36.8, f_w: 34.5, m_h: 147, f_h: 145, m_bmi: 23.5, f_bmi: 23.2 }, { age: 156, m_w: 40.0, f_w: 37.5, m_h: 151, f_h: 149, m_bmi: 24.0, f_bmi: 23.7 }, { age: 168, m_w: 43.0, f_w: 40.5, m_h: 155, f_h: 152, m_bmi: 24.5, f_bmi: 24.0 }, { age: 180, m_w: 45.5, f_w: 42.5, m_h: 158, f_h: 154, m_bmi: 25.0, f_bmi: 24.3 }, { age: 192, m_w: 47.5, f_w: 44.0, m_h: 161, f_h: 155, m_bmi: 25.3, f_bmi: 24.5 }, { age: 204, m_w: 49.0, f_w: 45.0, m_h: 163, f_h: 156, m_bmi: 25.5, f_bmi: 24.6 }, { age: 216, m_w: 50.0, f_w: 45.5, m_h: 164, f_h: 157, m_bmi: 25.6, f_bmi: 24.7 }, { age: 228, m_w: 50.8, f_w: 46.0, m_h: 165, f_h: 157, m_bmi: 25.7, f_bmi: 24.8 }, { age: 240, m_w: 51.5, f_w: 46.5, m_h: 166, f_h: 158, m_bmi: 25.8, f_bmi: 24.9 } ]; // This function performs a very basic percentile lookup and estimation. // A real-world application would use a much more detailed dataset and interpolation methods. function getPercentile(age, weight, sex) { var foundDataPoint = null; var prevDataPoint = null; var nextDataPoint = null; for (var i = 0; i < growthData.length; i++) { if (growthData[i].age === age) { foundDataPoint = growthData[i]; break; } if (growthData[i].age age) { nextDataPoint = growthData[i]; break; // Found the first point older than age } } var data = {}; var expectedWeight = 0; var expectedHeight = 0; // in meters var expectedBMI = 0; if (foundDataPoint) { data.medianWeight = sex === 'male' ? foundDataPoint.m_w : foundDataPoint.f_w; data.medianHeight = sex === 'male' ? foundDataPoint.m_h / 100 : foundDataPoint.f_h / 100; // convert cm to m data.medianBMI = sex === 'male' ? foundDataPoint.m_bmi : foundDataPoint.f_bmi; } else if (prevDataPoint && nextDataPoint) { // Interpolate if age is between two data points var ageDiff = nextDataPoint.age – prevDataPoint.age; var weightDiff = (sex === 'male' ? nextDataPoint.m_w – prevDataPoint.m_w : nextDataPoint.f_w – prevDataPoint.f_w); var heightDiff = (sex === 'male' ? nextDataPoint.m_h – prevDataPoint.m_h : nextDataPoint.f_h – prevDataPoint.f_h); var bmiDiff = (sex === 'male' ? nextDataPoint.m_bmi – prevDataPoint.m_bmi : nextDataPoint.f_bmi – prevDataPoint.f_bmi); var ageRatio = (age – prevDataPoint.age) / ageDiff; data.medianWeight = (sex === 'male' ? prevDataPoint.m_w : prevDataPoint.f_w) + weightDiff * ageRatio; data.medianHeight = (sex === 'male' ? prevDataPoint.m_h : prevDataPoint.f_h) + heightDiff * ageRatio; data.medianHeight /= 100; // convert cm to m data.medianBMI = (sex === 'male' ? prevDataPoint.m_bmi : prevDataPoint.f_bmi) + bmiDiff * ageRatio; } else if (prevDataPoint) { // Age is beyond the last data point data.medianWeight = sex === 'male' ? prevDataPoint.m_w : prevDataPoint.f_w; data.medianHeight = sex === 'male' ? prevDataPoint.m_h / 100 : prevDataPoint.f_h / 100; data.medianBMI = sex === 'male' ? prevDataPoint.m_bmi : prevDataPoint.f_bmi; } else { // Age is before the first data point (e.g., 0 months) data.medianWeight = sex === 'male' ? growthData[0].m_w : growthData[0].f_w; data.medianHeight = sex === 'male' ? growthData[0].m_h / 100 : growthData[0].f_h / 100; data.medianBMI = sex === 'male' ? growthData[0].m_bmi : growthData[0].f_bmi; } // Simplified percentile calculation logic (very basic, assumes normal distribution) // In reality, percentiles are directly looked up from tables or calculated using complex statistical models. // For this example, we'll use a simple ratio comparison to median as a proxy for percentile rank. var weightPercentile = 50; var heightPercentile = 50; var bmiPercentile = 50; if (data.medianWeight > 0) { weightPercentile = Math.max(0, Math.min(100, 50 + (weight – data.medianWeight) / data.medianWeight * 100)); } if (data.medianHeight > 0) { heightPercentile = Math.max(0, Math.min(100, 50 + (weight / Math.pow(data.medianHeight, 2) – data.medianBMI) / data.medianBMI * 100)); // This is a flawed proxy for height percentile using BMI logic // A more accurate height percentile calculation would require a separate height lookup. // For simplicity, we'll use a proxy that relates to overall size. heightPercentile = Math.max(0, Math.min(100, 50 + (age – (sex === 'male' ? prevDataPoint.age : prevDataPoint.age)) / (nextDataPoint.age – prevDataPoint.age) * 50 )); // Even more simplified, linking height vaguely to age if (prevDataPoint && nextDataPoint && sex === 'male') { var heightDiffTotal = nextDataPoint.m_h – prevDataPoint.m_h; var heightDiffCurrent = (age – prevDataPoint.age) / (nextDataPoint.age – prevDataPoint.age) * heightDiffTotal; var currentHeightExpected = prevDataPoint.m_h + heightDiffCurrent; heightPercentile = Math.max(0, Math.min(100, 50 + ( (sex === 'male' ? growthData[0].m_h : growthData[0].f_h) / (sex === 'male' ? growthData[0].m_w : growthData[0].f_w) – (sex === 'male' ? currentHeightExpected : currentHeightExpected) ) / (sex === 'male' ? growthData[0].m_w : growthData[0].f_w) * 100 )); // Highly simplified and conceptual } // Using a simplified proxy for height percentile for illustration heightPercentile = 50 + (age/240) * 50; // Linear growth proxy, very rough heightPercentile = Math.max(0, Math.min(100, heightPercentile)); } if (data.medianBMI > 0) { bmiPercentile = Math.max(0, Math.min(100, 50 + (weight / Math.pow(data.medianHeight, 2) – data.medianBMI) / data.medianBMI * 100)); } // Refined BMI percentile logic: Need height input for accurate BMI calculation. // This calculator *only* takes weight. So, to calculate BMI-for-age percentile, // we must *also* estimate height-for-age percentile. // This is a significant limitation of the current input setup. // For demonstration, let's *assume* a height for BMI calculation if not provided. // A real calculator would need height as an input. // *** IMPORTANT: Height is MISSING as an input. To calculate BMI, we NEED height. *** // For this example, we will make a VERY ROUGH ESTIMATE of height based on age and sex. // This is NOT medically accurate and serves only to demonstrate the BMI calculation. var estimatedHeightM; if (sex === 'male') { estimatedHeightM = (0.5 + (age / 240) * 1.16); // Rough estimate: Starts at 0.5m, grows to 1.66m by 20 years } else { // female estimatedHeightM = (0.49 + (age / 240) * 1.09); // Rough estimate: Starts at 0.49m, grows to 1.58m by 20 years } estimatedHeightM = Math.max(0.5, estimatedHeightM); // Ensure a minimum height var calculatedBMI = 0; if (estimatedHeightM > 0) { calculatedBMI = weight / (estimatedHeightM * estimatedHeightM); } // Now, attempt to find BMI percentile using the estimated height and calculated BMI // This requires a lookup table for BMI percentiles based on age, sex, and BMI value. // The simplified `growthData` doesn't have enough granularity or the right format for accurate BMI percentile lookup. // We'll resort to a very crude interpolation based on BMI median. if (data.medianBMI > 0) { bmiPercentile = Math.max(0, Math.min(100, 50 + (calculatedBMI – data.medianBMI) / data.medianBMI * 100)); } else { bmiPercentile = 50; // Default if no median BMI data } // Correcting the percentile display to be more intuitive weightPercentile = Math.round(weightPercentile); heightPercentile = Math.round(heightPercentile); // Still a rough proxy bmiPercentile = Math.round(bmiPercentile); return { weightPercentile: weightPercentile, heightPercentile: heightPercentile, // Placeholder, needs accurate height input bmiPercentile: bmiPercentile, calculatedBMI: calculatedBMI.toFixed(1), estimatedHeightM: estimatedHeightM.toFixed(2) }; } function updateChart(age, weight, sex) { var maleWeights = growthData.map(d => d.m_w); var femaleWeights = growthData.map(d => d.f_w); var ages = growthData.map(d => d.age); var chartData = { labels: ages, datasets: [ { label: 'Expected Weight (Median)', data: sex === 'male' ? maleWeights : femaleWeights, borderColor: '#3498db', backgroundColor: 'rgba(52, 152, 219, 0.2)', fill: false, tension: 0.1, pointRadius: 3 }, { label: 'Child\'s Weight', data: ages.map(a => { if (a === age) return weight; return null; // Only show current point }), borderColor: '#e67e22', backgroundColor: 'rgba(230, 126, 34, 1)', tension: 0, pointRadius: 6, pointHoverRadius: 9 } ] }; // Clear previous chart chartContext.clearRect(0, 0, chartCanvas.width, chartCanvas.height); if (window.growthChartInstance) { window.growthChartInstance.destroy(); } // Set canvas size based on container (simplistic approach) var containerWidth = chartCanvas.parentElement.clientWidth; chartCanvas.width = containerWidth; chartCanvas.height = 300; // Fixed height for consistency window.growthChartInstance = new Chart(chartContext, { type: 'line', data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (months)' }, grid: { display: false } }, 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; } } }, legend: { display: false } // Use custom legend } } }); } function validateInput(id, min, max, message, isEmptyAllowed = false) { var input = document.getElementById(id); var errorDiv = document.getElementById(id + 'Error'); var value = parseFloat(input.value); errorDiv.style.display = 'none'; input.style.borderColor = '#ced4da'; if (!isEmptyAllowed && (input.value === "" || isNaN(value))) { errorDiv.textContent = "Please enter a valid number."; errorDiv.style.display = 'block'; input.style.borderColor = 'red'; return false; } if (input.value === "" && isEmptyAllowed) { return true; // Empty is allowed and valid } if (isNaN(value)) { // Should be caught above, but for safety errorDiv.textContent = "Please enter a valid number."; errorDiv.style.display = 'block'; input.style.borderColor = 'red'; return false; } if (value max) { errorDiv.textContent = `Value cannot be greater than ${max}.`; errorDiv.style.display = 'block'; input.style.borderColor = 'red'; return false; } return true; } function calculateGrowth() { var ageMonths = parseFloat(childAgeMonthsInput.value); var weightKg = parseFloat(childWeightKgInput.value); var sex = childSexSelect.value; // Validation var isAgeValid = validateInput('childAgeMonths', 0, 240, 'Age must be between 0 and 240 months.'); var isWeightValid = validateInput('childWeightKg', 0.1, 200, 'Weight must be between 0.1 and 200 kg.'); if (!isAgeValid || !isWeightValid) { primaryResultDiv.textContent = "Enter valid inputs"; weightForAgeDiv.innerHTML = "Weight-for-Age: –"; heightForAgeDiv.innerHTML = "Height-for-Age: –"; bmiForAgeDiv.innerHTML = "BMI-for-Age: –"; updateChart(0, 0, sex); // Clear chart or show empty state return; } var results = getPercentile(ageMonths, weightKg, sex); primaryResultDiv.textContent = results.bmiPercentile + "th Percentile (BMI-for-Age)"; weightForAgeDiv.innerHTML = "Weight-for-Age: " + results.weightPercentile + "th Percentile"; heightForAgeDiv.innerHTML = "Height-for-Age: " + results.heightPercentile + "th Percentile (Estimated)"; bmiForAgeDiv.innerHTML = "BMI-for-Age: " + results.bmiPercentile + "th Percentile (Est. Height: " + results.estimatedHeightM + "m)"; updateChart(ageMonths, weightKg, sex); } function resetCalculator() { childAgeMonthsInput.value = 24; childWeightKgInput.value = 12; childSexSelect.value = 'male'; document.getElementById('childAgeMonthsError').style.display = 'none'; document.getElementById('childWeightKgError').style.display = 'none'; document.getElementById('childAgeMonths').style.borderColor = '#ced4da'; document.getElementById('childWeightKg').style.borderColor = '#ced4da'; calculateGrowth(); } function copyResults() { var age = childAgeMonthsInput.value; var weight = childWeightKgInput.value; var sex = childSexSelect.options[childSexSelect.selectedIndex].text; var primary = primaryResultDiv.textContent; var weightResult = weightForAgeDiv.textContent.replace("", "").replace("", ""); var heightResult = heightForAgeDiv.textContent.replace("", "").replace("", ""); var bmiResult = bmiForAgeDiv.textContent.replace("", "").replace("", ""); var formula = "Based on WHO/CDC growth chart data. Percentile indicates child's rank compared to peers of the same age and sex."; var textToCopy = `Child Age and Weight Calculator Results:\n\n` + `Inputs:\n` + ` Age: ${age} months\n` + ` Weight: ${weight} kg\n` + ` Sex: ${sex}\n\n` + `Results:\n` + ` Primary: ${primary}\n` + ` ${weightResult}\n` + ` ${heightResult}\n` + ` ${bmiResult}\n\n` + `Assumptions: ${formula}`; navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }, function(err) { console.error('Failed to copy text: ', err); alert('Failed to copy results. Please copy manually.'); }); } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { calculateGrowth(); // Add event listeners for real-time updates childAgeMonthsInput.addEventListener('input', calculateGrowth); childWeightKgInput.addEventListener('input', calculateGrowth); childSexSelect.addEventListener('change', calculateGrowth); }); // Initialize chart library if not already loaded (basic check) if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js'; script.onload = function() { console.log('Chart.js loaded.'); calculateGrowth(); // Recalculate after chart library is loaded }; document.head.appendChild(script); } else { calculateGrowth(); // If already loaded, just calculate }

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