Baby Weight vs Age Calculator

Baby Weight vs Age Calculator: Track Your Infant's Growth :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } 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; justify-content: center; padding: 20px 0; } .container { width: 100%; max-width: 960px; background-color: var(–card-background); padding: 30px; border-radius: 8px; box-shadow: var(–shadow); margin: 0 auto; } h1, h2, h3 { color: var(–primary-color); text-align: center; margin-bottom: 20px; } h1 { font-size: 2.2em; } h2 { font-size: 1.8em; margin-top: 40px; border-bottom: 2px solid var(–primary-color); padding-bottom: 10px; } h3 { font-size: 1.4em; margin-top: 30px; } .calculator-section { background-color: var(–card-background); padding: 25px; border-radius: 8px; 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Baby Weight vs Age Calculator

Understand your baby's growth trajectory by comparing their weight against standard growth percentiles for their age.

Baby Growth Calculator

Enter the baby's age in completed days.
Enter the baby's current weight in kilograms.
Male Female Select the baby's sex for accurate percentile comparison.

Growth Analysis Results

Percentile:
Z-Score:
Comparison to Median:
Formula Explanation: This calculator uses WHO (World Health Organization) growth standards. The percentile indicates the percentage of babies of the same age and sex that weigh less than your baby. The Z-score is a standardized measure of deviation from the mean, useful for statistical analysis.
Baby Weight Growth Chart (Actual vs. Median)
WHO Growth Standards (Approximate for Age/Sex)
Age (Days) Median Weight (kg) – Male Median Weight (kg) – Female 3rd Percentile (kg) – Male 97th Percentile (kg) – Male

Key Assumptions

Results are based on WHO growth standards. Individual growth can vary. Consult a pediatrician for personalized advice.

{primary_keyword}

A {primary_keyword} is a vital tool for parents, caregivers, and healthcare professionals to monitor an infant's physical development. It allows for a quick comparison of a baby's current weight against established growth charts or standards, typically based on age and sex. This comparison helps determine if the baby is growing within the expected range, is underweight, or overweight. Understanding these growth patterns is crucial for identifying potential health issues early on and ensuring the baby receives adequate nutrition and care. This calculator provides a user-friendly interface to input a baby's age and weight and receive immediate feedback in the form of percentiles, Z-scores, and visual representations like charts and tables.

Who Should Use It?

The primary users of a {primary_keyword} include:

  • Parents and Guardians: To track their baby's progress between pediatrician visits and gain peace of mind or identify concerns.
  • Pediatricians and Healthcare Providers: As a quick reference tool during check-ups to plot growth and discuss concerns with parents.
  • Lactation Consultants and Nutritionists: To assess feeding adequacy and nutritional status.
  • Researchers: Studying infant growth patterns and health outcomes.

Common Misconceptions

Several common misconceptions surround baby weight tracking:

  • "My baby is slightly below the line, so something is wrong." Babies' growth can fluctuate. A single measurement below the average doesn't necessarily indicate a problem, especially if the baby is otherwise healthy, active, and meeting developmental milestones. Consistent downward trends or significant deviations are more concerning.
  • "All babies of the same age should weigh the same." This is untrue. There is a wide range of normal for baby weight. Growth charts represent a spectrum of healthy growth, not a single target weight.
  • "Breastfed babies are always heavier than formula-fed babies (or vice versa)." Growth patterns vary significantly based on individual metabolism, feeding frequency, and milk composition. While general trends exist, they don't apply to every baby.
  • "Weight is the only indicator of health." While weight is important, it's just one piece of the puzzle. Length, head circumference, overall health, activity level, and developmental milestones are equally critical indicators of a baby's well-being.

{primary_keyword} Formula and Mathematical Explanation

The core of the {primary_keyword} relies on comparing a baby's measurements to established growth standards. The most widely recognized standards are those provided by the World Health Organization (WHO), which are based on extensive international data. These standards typically provide data points for weight-for-age, length-for-age, and head circumference-for-age, broken down by sex.

Step-by-Step Derivation

  1. Data Input: The user provides the baby's age in days and weight in kilograms, along with the baby's sex.
  2. Data Lookup: The calculator accesses a dataset (often embedded or fetched) containing WHO growth standard data. This data typically includes values for various percentiles (e.g., 3rd, 15th, 50th, 85th, 97th) and sometimes Z-scores for specific age points.
  3. Interpolation (if necessary): Since the input age might not exactly match the discrete age points in the WHO data, interpolation is often used to estimate the corresponding standard values (like median weight or percentile weights) for the baby's exact age.
  4. Percentile Calculation: Based on the baby's weight and the interpolated standard values for their age and sex, the calculator determines where the baby's weight falls on the distribution. This is often expressed as a percentile. For example, if a baby is at the 75th percentile, it means they weigh more than 75% of babies of the same age and sex.
  5. Z-Score Calculation: The Z-score is a statistical measure that indicates how many standard deviations a data point is from the mean. The formula is:
    Z = (X - μ) / σ Where:
    • X is the baby's measured weight.
    • μ (mu) is the mean (or median) weight for the baby's age and sex from the growth standards.
    • σ (sigma) is the standard deviation of weight for the baby's age and sex from the growth standards.
    The WHO standards often provide Z-scores directly or allow for their calculation using provided mean and standard deviation values.
  6. Comparison to Median: This is a simpler comparison, often stating whether the baby is above, below, or at the median weight for their age and sex.

Variables Explained

Here's a breakdown of the key variables involved:

Key Variables in Baby Growth Calculation
Variable Meaning Unit Typical Range (Example for 6 months)
Baby's Age Time elapsed since birth. Days (or Months) 0 – 365 days (or 0-12 months)
Baby's Weight The measured mass of the baby. Kilograms (kg) Approx. 5.5 kg – 10.5 kg (for 6 months)
Baby's Sex Biological sex of the infant. Categorical (Male/Female) Male / Female
Median Weight (50th Percentile) The weight at which half the babies of the same age/sex are heavier and half are lighter. Kilograms (kg) Approx. 7.8 kg (Male, 6 months) / 7.1 kg (Female, 6 months)
Percentile The percentage of babies of the same age/sex weighing less than the baby. % 0% – 100%
Z-Score Number of standard deviations from the mean weight. Unitless Typically -3 to +3

Practical Examples (Real-World Use Cases)

Example 1: Tracking a 4-Month-Old Baby

Scenario: Sarah is concerned because her 4-month-old baby, Leo, seems smaller than her friend's baby. Leo is 120 days old and weighs 6.8 kg. Leo is a boy.

Inputs:

  • Age: 120 days
  • Weight: 6.8 kg
  • Sex: Male

Calculation Results (Hypothetical):

  • Primary Result: 7.2 kg (Median weight for a 4-month-old boy)
  • Percentile: 40th Percentile
  • Z-Score: -0.25
  • Comparison to Median: Below Median Weight

Interpretation: Leo weighs 6.8 kg at 120 days old. The median weight for a boy of this age is approximately 7.2 kg. Leo falls at the 40th percentile, meaning he weighs more than 40% of boys his age. His Z-score of -0.25 indicates he is slightly below the average weight but well within the healthy range (typically between -2 and +2 standard deviations). Sarah can be reassured that Leo is growing well, even if he's not the heaviest baby in his age group.

Example 2: Monitoring a Premature Baby's Catch-Up Growth

Scenario: David and Maria's baby, Chloe, was born prematurely at 30 weeks gestation. Now, at 40 weeks post-conception (which is equivalent to full-term age), she is 10 days old (post-birth) and weighs 3.1 kg. Chloe is a girl.

Inputs:

  • Age: 10 days
  • Weight: 3.1 kg
  • Sex: Female

Calculation Results (Hypothetical):

  • Primary Result: 3.5 kg (Median weight for a 10-day-old girl)
  • Percentile: 15th Percentile
  • Z-Score: -1.04
  • Comparison to Median: Below Median Weight

Interpretation: Chloe weighs 3.1 kg at 10 days old. The median weight for a full-term baby girl of this age is around 3.5 kg. Chloe is at the 15th percentile, indicating she weighs more than 15% of full-term babies her age. Her Z-score of -1.04 suggests she is about one standard deviation below the mean. While still below the median, this percentile and Z-score might be considered good "catch-up" growth for a baby born prematurely, especially if she is gaining weight consistently. Her pediatrician will monitor her closely to ensure adequate nutritional intake and continued growth.

How to Use This {primary_keyword} Calculator

Using the {primary_keyword} is straightforward. Follow these simple steps to get an instant analysis of your baby's growth:

Step-by-Step Instructions

  1. Enter Baby's Age: Input the baby's exact age in completed days into the "Baby's Age (Days)" field. For example, if your baby is 3 months and 5 days old, calculate the total number of days (approx. 90 + 5 = 95 days).
  2. Enter Baby's Weight: Input the baby's current weight in kilograms (kg) into the "Baby's Weight (kg)" field. Ensure you are using kilograms for accuracy.
  3. Select Baby's Sex: Choose "Male" or "Female" from the dropdown menu. This is important as growth standards differ slightly between sexes.
  4. Calculate: Click the "Calculate Growth" button.

How to Read Results

After clicking "Calculate Growth," you will see several key pieces of information:

  • Primary Result: This typically displays the median (50th percentile) weight for a baby of the same age and sex. It gives you a benchmark for comparison.
  • Percentile: This number tells you the percentage of babies of the same age and sex that weigh *less* than your baby. For example, the 75th percentile means your baby weighs more than 75% of babies their age and sex.
  • Z-Score: A statistical measure indicating how many standard deviations your baby's weight is from the average (mean) weight. A Z-score of 0 is the average. Positive scores are above average, negative scores are below. Most healthy babies fall between -2 and +2.
  • Comparison to Median: A simple text indicator (e.g., "Above Median Weight," "Below Median Weight," "At Median Weight").
  • Growth Chart: A visual representation comparing your baby's weight (as a point) against the median line and potentially other percentile curves.
  • Growth Standards Table: Provides reference weights from the WHO growth charts for context.

Decision-Making Guidance

The results from this calculator should be used as a guide, not a definitive diagnosis. Always consult with your pediatrician or a healthcare professional for personalized advice regarding your baby's growth and health. If your baby's results fall significantly outside the typical range (e.g., below the 3rd percentile or above the 97th percentile, or with Z-scores less than -2 or greater than +2), it warrants a discussion with your doctor. They will consider the baby's overall health, feeding patterns, activity level, and other developmental milestones.

Key Factors That Affect {primary_keyword} Results

While the {primary_keyword} provides a standardized comparison, several real-world factors influence a baby's weight gain and growth trajectory:

  1. Genetics: Just like adults, babies inherit genetic predispositions for body size and metabolism. Some babies are naturally leaner, while others are naturally more robust.
  2. Nutrition and Feeding: This is paramount. The type of milk (breast milk, formula), the frequency and duration of feeds, and the baby's ability to effectively consume milk directly impact weight gain. Issues with latching, swallowing, or milk supply can affect intake.
  3. Prematurity and Gestational Age: Babies born prematurely often have slower initial weight gain and may take longer to "catch up" to their full-term peers. Their growth trajectory needs to be assessed considering their corrected age.
  4. Health Conditions: Underlying medical issues, such as digestive problems (e.g., reflux, malabsorption), metabolic disorders, infections, or congenital conditions, can significantly affect a baby's ability to gain weight appropriately.
  5. Activity Level: As babies grow, their energy expenditure increases with increased movement and activity. A highly active baby might burn more calories, potentially influencing their weight gain rate compared to a less active baby.
  6. Maternal Health During Pregnancy: Factors like maternal nutrition, gestational diabetes, or placental function during pregnancy can influence fetal growth and birth weight, setting the initial stage for postnatal growth.
  7. Sleep Patterns: Adequate sleep is crucial for growth and development. Disrupted sleep can sometimes be linked to feeding difficulties or stress, indirectly affecting weight gain.
  8. Environmental Factors: While less direct, factors like exposure to illness or stress within the household environment could potentially play a minor role in a baby's overall well-being and growth.

Frequently Asked Questions (FAQ)

Q1: How often should I use the baby weight vs age calculator?

A: It's best to use this calculator periodically, perhaps weekly or bi-weekly, to track trends between your baby's regular pediatrician check-ups. Avoid obsessing over daily fluctuations.

Q2: My baby's weight is below the 50th percentile. Is this bad?

A: Not necessarily. The 50th percentile is just the average. Many babies are perfectly healthy and thriving below the 50th percentile, as long as they are gaining weight consistently and meeting developmental milestones. Focus on the trend and consult your doctor.

Q3: What is considered a "normal" weight gain rate for a baby?

A: Typically, newborns lose about 5-10% of their birth weight in the first few days, then regain it by 1-2 weeks. After that, a common rate is about 0.5 to 1 pound (approx. 0.23 to 0.45 kg) per week for the first 6 months, though this slows down later.

Q4: Does the calculator account for premature babies?

A: This calculator uses standard WHO growth charts based on chronological age. For premature babies, it's often more accurate to use their "corrected age" (age from their original due date) for comparison, especially in the first year or two. Consult your pediatrician for guidance on assessing premature infant growth.

Q5: What if my baby's weight gain seems too fast?

A: Rapid weight gain can also be a concern. If your baby is consistently above the 90th-97th percentile and gaining weight very quickly, discuss this with your pediatrician to ensure appropriate feeding practices and rule out any underlying issues.

Q6: Can I use pounds (lbs) instead of kilograms (kg)?

A: This specific calculator requires input in kilograms (kg). You'll need to convert your baby's weight from pounds to kilograms before entering it (1 kg ≈ 2.20462 lbs).

Q7: What are the WHO growth standards?

A: The World Health Organization (WHO) growth standards are internationally recognized benchmarks for assessing the growth of infants and young children. They are based on data from breastfed infants in optimal conditions and are considered the global standard for monitoring child growth.

Q8: How does head circumference factor into growth assessment?

A: While this calculator focuses on weight-for-age, pediatricians also measure length-for-age and head circumference-for-age. These three measurements together provide a more comprehensive picture of a baby's growth and development.

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// WHO Growth Data (Simplified for demonstration – a real implementation would use a more comprehensive dataset) // Data structure: { age_in_days: { male: { median: kg, sd: std_dev, p3: kg, p97: kg }, female: { median: kg, sd: std_dev, p3: kg, p97: kg } } } // Note: SD values are crucial for accurate Z-score calculation. These are illustrative. var whoGrowthData = { 0: { male: { median: 3.5, sd: 0.3, p3: 2.5, p97: 4.5 }, female: { median: 3.4, sd: 0.3, p3: 2.4, p97: 4.4 } }, 30: { male: { median: 5.5, sd: 0.5, p3: 4.0, p97: 7.0 }, female: { median: 5.3, sd: 0.5, p3: 3.8, p97: 6.8 } }, // Approx 1 month 60: { male: { median: 7.0, sd: 0.6, p3: 5.0, p97: 9.0 }, female: { median: 6.7, sd: 0.6, p3: 4.7, p97: 8.7 } }, // Approx 2 months 90: { male: { median: 8.0, sd: 0.7, p3: 5.8, p97: 10.2 }, female: { median: 7.7, sd: 0.7, p3: 5.5, p97: 9.9 } }, // Approx 3 months 120: { male: { median: 8.8, sd: 0.7, p3: 6.3, p97: 11.3 }, female: { median: 8.5, sd: 0.7, p3: 6.0, p97: 11.0 } }, // Approx 4 months 150: { male: { median: 9.5, sd: 0.8, p3: 6.8, p97: 12.2 }, female: { median: 9.1, sd: 0.8, p3: 6.4, p97: 11.8 } }, // Approx 5 months 180: { male: { median: 10.0, sd: 0.8, p3: 7.2, p97: 13.0 }, female: { median: 9.6, sd: 0.8, p3: 6.8, p97: 12.4 } }, // Approx 6 months 210: { male: { median: 10.4, sd: 0.8, p3: 7.5, p97: 13.5 }, female: { median: 10.0, sd: 0.8, p3: 7.1, p97: 12.9 } }, // Approx 7 months 240: { male: { median: 10.8, sd: 0.9, p3: 7.7, p97: 14.0 }, female: { median: 10.3, sd: 0.9, p3: 7.3, p97: 13.3 } }, // Approx 8 months 270: { male: { median: 11.1, sd: 0.9, p3: 7.9, p97: 14.4 }, female: { median: 10.6, sd: 0.9, p3: 7.5, p97: 13.6 } }, // Approx 9 months 300: { male: { median: 11.4, sd: 0.9, p3: 8.1, p97: 14.7 }, female: { median: 10.8, sd: 0.9, p3: 7.7, p97: 13.9 } }, // Approx 10 months 330: { male: { median: 11.6, sd: 1.0, p3: 8.2, p97: 15.0 }, female: { median: 11.0, sd: 1.0, p3: 7.8, p97: 14.1 } }, // Approx 11 months 365: { male: { median: 11.8, sd: 1.0, p3: 8.3, p97: 15.2 }, female: { median: 11.2, sd: 1.0, p3: 7.9, p97: 14.3 } } // Approx 12 months }; var chartInstance = null; // To hold the chart instance function getGrowthDataForAge(ageInDays) { var ages = Object.keys(whoGrowthData).map(Number).sort(function(a, b) { return a – b; }); var lowerAge = 0, upperAge = ages[ages.length – 1]; for (var i = 0; i < ages.length; i++) { if (ageInDays 0) ? ages[i – 1] : 0; break; } lowerAge = ages[i]; } if (lowerAge === upperAge) { return whoGrowthData[lowerAge]; } var lowerData = whoGrowthData[lowerAge]; var upperData = whoGrowthData[upperAge]; var fraction = (ageInDays – lowerAge) / (upperAge – lowerAge); var interpolatedData = {}; var sexes = ['male', 'female']; for (var j = 0; j < sexes.length; j++) { var sex = sexes[j]; interpolatedData[sex] = {}; for (var key in lowerData[sex]) { if (typeof lowerData[sex][key] === 'number') { interpolatedData[sex][key] = lowerData[sex][key] + fraction * (upperData[sex][key] – lowerData[sex][key]); } else { interpolatedData[sex][key] = lowerData[sex][key]; // Keep non-numeric values as is } } } return interpolatedData; } function calculatePercentile(weightKg, ageInDays, sex) { var data = getGrowthDataForAge(ageInDays); if (!data || !data[sex]) return { percentile: null, zScore: null, medianWeight: null, p3: null, p97: null }; var median = data[sex].median; var sd = data[sex].sd; var p3 = data[sex].p3; var p97 = data[sex].p97; var zScore = (weightKg – median) / sd; // Approximate percentile calculation using Z-score and a standard normal distribution approximation // This is a simplified approximation. More accurate methods exist (e.g., lookup tables, more complex formulas). var percentile; if (zScore 3.5) percentile = 100; else { // Using a common approximation formula for the standard normal cumulative distribution function (CDF) var t = 1.0 / (1.0 + 0.2316419 * Math.abs(zScore)); var d = 0.3989423 * Math.exp(-zScore * zScore / 2.0); var prob = (1.0 – d * t * ((((106.140541 * t – 116.587451) * t + 124.600011) * t – 72.945406) * t + 26.515525)) / 2.0; if (zScore > 0) percentile = (1.0 – prob) * 100; else percentile = prob * 100; } // Clamp percentile to 0-100 percentile = Math.max(0, Math.min(100, percentile)); return { percentile: percentile.toFixed(1), zScore: zScore.toFixed(2), medianWeight: median.toFixed(2), p3: p3.toFixed(2), p97: p97.toFixed(2) }; } function updateChart(ageInDays, weightKg, sex) { var canvas = document.getElementById('growthChart'); var ctx = canvas.getContext('2d'); // Clear previous chart if it exists if (chartInstance) { chartInstance.destroy(); } var data = getGrowthDataForAge(ageInDays); if (!data || !data[sex]) { ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear canvas if no data return; } var sexData = data[sex]; var ages = Object.keys(whoGrowthData).map(Number).sort(function(a, b) { return a – b; }); var chartAges = []; var medianWeights = []; var p3Weights = []; var p97Weights = []; for (var i = 0; i < ages.length; i++) { var currentAge = ages[i]; var currentSexData = whoGrowthData[currentAge][sex]; chartAges.push(currentAge); medianWeights.push(currentSexData.median); p3Weights.push(currentSexData.p3); p97Weights.push(currentSexData.p97); } // Add the current baby's data point chartAges.push(ageInDays); medianWeights.push(sexData.median); // Use interpolated median for the current age p3Weights.push(sexData.p3); // Use interpolated p3 for the current age p97Weights.push(sexData.p97); // Use interpolated p97 for the current age // Sort all data points for the chart lines to be continuous var combinedData = []; for(var k=0; k<chartAges.length; k++) { combinedData.push({ age: chartAges[k], median: medianWeights[k], p3: p3Weights[k], p97: p97Weights[k] }); } combinedData.sort(function(a, b) { return a.age – b.age; }); chartAges = combinedData.map(function(d) { return d.age; }); medianWeights = combinedData.map(function(d) { return d.median; }); p3Weights = combinedData.map(function(d) { return d.p3; }); p97Weights = combinedData.map(function(d) { return d.p97; }); // Ensure the current baby's data point is plotted correctly, even if it falls between chart points var babyDataPoint = { x: ageInDays, y: weightKg }; chartInstance = new Chart(ctx, { type: 'line', data: { labels: chartAges, datasets: [{ label: 'Median Weight (50th %)', data: medianWeights.map(function(val, index) { return { x: chartAges[index], y: val }; }), borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 2, fill: false, pointRadius: 0 // Hide points on the line itself }, { label: '3rd Percentile', data: p3Weights.map(function(val, index) { return { x: chartAges[index], y: val }; }), borderColor: 'rgba(255, 99, 132, 0.5)', borderWidth: 1, fill: false, pointRadius: 0 }, { label: '97th Percentile', data: p97Weights.map(function(val, index) { return { x: chartAges[index], y: val }; }), borderColor: 'rgba(54, 162, 235, 0.5)', borderWidth: 1, fill: false, pointRadius: 0 }, { label: "Baby's Weight", data: [babyDataPoint], // Plot the single point for the baby borderColor: 'rgba(40, 167, 69, 1)', backgroundColor: 'rgba(40, 167, 69, 1)', borderWidth: 3, pointRadius: 6, fill: false, type: 'scatter' // Use scatter for the single point }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Days)' }, ticks: { autoSkip: true, maxTicksLimit: 10 } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: false // Start y-axis appropriately } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2) + ' kg'; } return label; } } }, legend: { position: 'top', } } } }); } function populateTable() { var tableBody = document.getElementById('growthTableBody'); tableBody.innerHTML = ''; // Clear existing rows var ages = Object.keys(whoGrowthData).map(Number).sort(function(a, b) { return a – b; }); var sexes = ['male', 'female']; for (var i = 0; i < ages.length; i++) { var age = ages[i]; var row = tableBody.insertRow(); var cellAge = row.insertCell(0); cellAge.textContent = age + " days"; for (var j = 0; j < sexes.length; j++) { var sex = sexes[j]; var data = whoGrowthData[age][sex]; var cellMedian = row.insertCell(); cellMedian.textContent = data.median.toFixed(2) + " kg"; if (sex === 'female') { cellMedian.style.borderLeft = "2px solid #ccc"; // Visual separator } } var dataMale = whoGrowthData[age]['male']; var cellP3Male = row.insertCell(); cellP3Male.textContent = dataMale.p3.toFixed(2) + " kg"; var cellP97Male = row.insertCell(); cellP97Male.textContent = dataMale.p97.toFixed(2) + " kg"; } } function validateInput(id, errorId, min, max) { var input = document.getElementById(id); var errorDiv = document.getElementById(errorId); var value = parseFloat(input.value); errorDiv.style.display = 'none'; // Hide error by default input.style.borderColor = '#ddd'; // Reset border color if (isNaN(value)) { errorDiv.textContent = "Please enter a valid number."; errorDiv.style.display = 'block'; input.style.borderColor = '#dc3545'; return false; } if (value max) { errorDiv.textContent = "Value cannot be greater than " + max + "."; errorDiv.style.display = 'block'; input.style.borderColor = '#dc3545'; return false; } return true; } function calculateGrowth() { var babyAgeDaysInput = document.getElementById('babyAgeDays'); var babyWeightKgInput = document.getElementById('babyWeightKg'); var babySexInput = document.getElementById('babySex'); var resultsContainer = document.getElementById('results-container'); var primaryResultDiv = document.getElementById('primaryResult'); var percentileValueDiv = document.getElementById('percentileValue').querySelector('span'); var zScoreValueDiv = document.getElementById('zScoreValue').querySelector('span'); var comparisonToMedianDiv = document.getElementById('comparisonToMedian').querySelector('span'); var isValid = true; isValid = validateInput('babyAgeDays', 'errorBabyAgeDays', 0, 730) && isValid; // Max 2 years for typical charts isValid = validateInput('babyWeightKg', 'errorBabyWeightKg', 0.1, 30) && isValid; // Realistic weight range // Sex validation is implicit via select if (!isValid) { resultsContainer.style.display = 'none'; return; } var babyAgeDays = parseFloat(babyAgeDaysInput.value); var babyWeightKg = parseFloat(babyWeightKgInput.value); var babySex = babySexInput.value; var growthInfo = calculatePercentile(babyWeightKg, babyAgeDays, babySex); if (growthInfo.percentile !== null) { var data = getGrowthDataForAge(babyAgeDays); var sexData = data[babySex]; primaryResultDiv.textContent = sexData.medianWeight + " kg (Median)"; percentileValueDiv.textContent = growthInfo.percentile + "%"; zScoreValueDiv.textContent = growthInfo.zScore; var comparisonText = ""; if (babyWeightKg > sexData.medianWeight) { comparisonText = "Above Median Weight"; } else if (babyWeightKg < sexData.medianWeight) { comparisonText = "Below Median Weight"; } else { comparisonText = "At Median Weight"; } comparisonToMedianDiv.textContent = comparisonText; resultsContainer.style.display = 'block'; updateChart(babyAgeDays, babyWeightKg, babySex); } else { primaryResultDiv.textContent = "N/A"; percentileValueDiv.textContent = "N/A"; zScoreValueDiv.textContent = "N/A"; comparisonToMedianDiv.textContent = "N/A"; resultsContainer.style.display = 'block'; // Show container but with N/A // Clear chart if calculation fails var canvas = document.getElementById('growthChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); } } function resetCalculator() { document.getElementById('babyAgeDays').value = 90; document.getElementById('babyWeightKg').value = 7.5; document.getElementById('babySex').value = 'male'; // Clear errors document.getElementById('errorBabyAgeDays').textContent = ''; document.getElementById('errorBabyWeightKg').textContent = ''; document.getElementById('errorBabySex').textContent = ''; document.getElementById('babyAgeDays').style.borderColor = '#ddd'; document.getElementById('babyWeightKg').style.borderColor = '#ddd'; // Hide results document.getElementById('results-container').style.display = 'none'; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } // Clear canvas var canvas = document.getElementById('growthChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var percentile = document.getElementById('percentileValue').querySelector('span').textContent; var zScore = document.getElementById('zScoreValue').querySelector('span').textContent; var comparison = document.getElementById('comparisonToMedian').querySelector('span').textContent; var babyAgeDays = document.getElementById('babyAgeDays').value; var babyWeightKg = document.getElementById('babyWeightKg').value; var babySex = document.getElementById('babySex').value; var assumptions = "Assumptions: Based on WHO growth standards. Consult a pediatrician."; var resultsText = "Baby Growth Analysis:\n\n" + "Inputs:\n" + "- Age: " + babyAgeDays + " days\n" + "- Weight: " + babyWeightKg + " kg\n" + "- Sex: " + babySex + "\n\n" + "Results:\n" + "- Median Weight: " + primaryResult + "\n" + "- Percentile: " + percentile + "\n" + "- Z-Score: " + zScore + "\n" + "- Comparison to Median: " + comparison + "\n\n" + assumptions; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied to clipboard!' : 'Failed to copy results.'; // Optionally show a temporary message to the user console.log(msg); // Simple visual feedback var copyButton = document.querySelector('.btn-copy'); var originalText = copyButton.textContent; copyButton.textContent = 'Copied!'; setTimeout(function() { copyButton.textContent = originalText; }, 2000); } catch (err) { console.error('Fallback: Oops, unable to copy', err); // Simple visual feedback var copyButton = document.querySelector('.btn-copy'); var originalText = copyButton.textContent; copyButton.textContent = 'Error!'; setTimeout(function() { copyButton.textContent = originalText; }, 2000); } document.body.removeChild(textArea); } // Initial setup document.addEventListener('DOMContentLoaded', function() { populateTable(); // Trigger initial calculation on load if default values are set calculateGrowth(); });

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