Baby Age Weight Height Calculator

Baby Age Weight Height Calculator: Track Your Baby's Growth Milestones :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –white: #ffffff; –border-color: #ddd; –shadow-color: 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; flex-direction: column; align-items: center; } main { width: 100%; max-width: 960px; margin: 20px auto; padding: 20px; background-color: var(–white); border-radius: 8px; box-shadow: 0 2px 10px var(–shadow-color); } header { width: 100%; background-color: var(–primary-color); color: var(–white); padding: 20px 0; text-align: center; margin-bottom: 20px; box-shadow: 0 2px 10px var(–shadow-color); } header h1 { margin: 0; font-size: 2.5em; font-weight: 600; } .calculator-section, .article-section { margin-bottom: 30px; padding: 25px; border: 1px solid var(–border-color); 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Baby Age Weight Height Calculator

Baby Growth Tracker

Enter your baby's age, weight, and height to see how they measure up against standard growth percentiles.

Enter age in months (e.g., 6 for 6 months, 1.5 for 18 months).
Enter weight in kilograms.
Enter height in centimeters.
Male Female Select your baby's gender for more accurate percentile comparisons.

Growth Analysis

Weight Percentile:
Height Percentile:
BMI:
Growth percentiles are calculated by comparing your baby's measurements against data from WHO/CDC growth charts for their age and gender. A percentile indicates that a baby weighs/is as tall as a certain percentage of babies of the same age and gender. BMI is calculated as weight (kg) / height (m)^2.

Growth Chart Data (Approximate Values)

Age (Months) Weight (kg) – 50th %ile Height (cm) – 50th %ile Weight (kg) – 95th %ile Height (cm) – 95th %ile
13.753.15.557.2
24.656.36.760.8
35.459.07.663.8
46.161.38.366.3
56.763.38.968.4
67.265.19.470.3
77.666.79.872.0
88.068.210.273.6
98.369.610.575.1
108.670.910.876.5
118.972.211.177.8
129.273.411.379.1
This table provides approximate median (50th percentile) and high-end (95th percentile) values for reference. Actual growth charts are more detailed.

Growth Chart Visualization

Visualizing your baby's weight and height percentiles against age.

What is a Baby Age Weight Height Calculator?

A Baby Age Weight Height Calculator is a specialized online tool designed to help parents, caregivers, and healthcare professionals assess whether a baby's physical development is progressing within typical ranges. It compares a baby's current age, weight, and height against established growth charts, most commonly those provided by the World Health Organization (WHO) for infants up to two years old and the Centers for Disease Control and Prevention (CDC) for older children. The primary output is a percentile ranking for weight and height, indicating how the baby measures up relative to other babies of the same age and sex. This tool helps identify potential concerns regarding undernutrition or overnutrition, or simply offers reassurance that the baby is growing as expected.

Who should use it: This calculator is invaluable for parents and guardians who want to monitor their baby's growth between pediatrician visits. It's also a helpful resource for pediatricians, nurses, and daycare providers who need a quick way to reference growth data. Anyone involved in infant care can benefit from understanding standard growth patterns.

Common misconceptions: A prevalent misconception is that babies should be at a specific weight or height at a certain age. In reality, growth is a spectrum. A baby might be in the 10th percentile for height but the 70th for weight, which is perfectly normal if consistent. Another misunderstanding is that "percentile" means percentage of babies the child has "beaten." Instead, a 50th percentile means the baby is exactly average, with 50% of babies smaller and 50% larger. Deviating significantly from their established curve, rather than the percentile itself, is often more indicative of a growth issue.

Baby Age Weight Height Calculator Formula and Mathematical Explanation

The core of a baby age weight height calculator lies in its ability to plot a child's measurements onto standardized growth charts and determine the corresponding percentile. These charts are derived from extensive data collected from large populations of healthy infants. The process involves interpolating or extrapolating data points to find the position of a specific measurement relative to the distribution of measurements for that age and gender.

While the calculator itself doesn't perform complex mathematical derivations in real-time for arbitrary percentile calculations (it typically uses lookup tables or algorithms based on WHO/CDC standards), the underlying principle is statistical. For each age, weight, and gender combination, the charts map out various percentiles (e.g., 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, 97th).

Key Metrics:

  • Age: The time elapsed since birth.
  • Weight: The baby's mass.
  • Height (or Length): The baby's linear measurement from head to heel.
  • Gender: Biological sex, as growth patterns can differ.
  • Percentile: A statistical measure indicating the value below which a given percentage of observations in a group of observations fall.
  • BMI (Body Mass Index): Calculated as weight (kg) / (height (m))^2. BMI percentiles are also plotted on separate charts.

Variables Table:

Variable Meaning Unit Typical Range (Infants 0-12 Months)
AgeTime since birthMonths0.1 – 12
WeightBaby's body massKilograms (kg)2.5 – 12
HeightBaby's lengthCentimeters (cm)45 – 80
GenderBiological sexCategorical (Male/Female)N/A
PercentileRelative growth positionPercentage (%)1 – 99
BMIBody Mass Indexkg/m²~13 – 20

The calculator uses these inputs to find the closest match on the relevant WHO or CDC growth chart data for the specified age and gender. The BMI is calculated separately and then compared to BMI-for-age charts.

Practical Examples (Real-World Use Cases)

Example 1: A Typically Growing Baby

Scenario: Sarah is 6 months old. She weighs 7.2 kg and measures 65 cm in length. Her parents are curious about her growth.

  • Inputs: Age = 6 months, Weight = 7.2 kg, Height = 65 cm, Gender = Female.
  • Calculator Output (Hypothetical):
    • Weight Percentile: 50th%
    • Height Percentile: 50th%
    • BMI: 17.2 kg/m² (approx. 50th% for BMI-for-age)
  • Interpretation: Sarah is growing right on track with the average baby girl her age. Her weight and height are well-proportioned to each other and align perfectly with the median growth curves. This is a sign of healthy, consistent development.

Example 2: A Baby with Faster Growth

Scenario: David is 4 months old. He currently weighs 8.3 kg and is 66 cm long. His parents are concerned he might be gaining too much weight.

  • Inputs: Age = 4 months, Weight = 8.3 kg, Height = 66 cm, Gender = Male.
  • Calculator Output (Hypothetical):
    • Weight Percentile: 95th%
    • Height Percentile: 95th%
    • BMI: 18.9 kg/m² (approx. 95th% for BMI-for-age)
  • Interpretation: David is in the 95th percentile for both weight and height. This means he is among the larger babies for his age, but importantly, his height and weight are tracking together on the higher end of the growth charts. His BMI is also at the 95th percentile, which may warrant a discussion with the pediatrician about ensuring a balanced diet and activity level appropriate for his age, even though his growth is proportionate. It's crucial to look at the baby's consistent growth pattern over time rather than a single measurement.

How to Use This Baby Age Weight Height Calculator

Using the Baby Age Weight Height Calculator is straightforward and designed for ease of use by parents and caregivers. Follow these simple steps to get an assessment of your baby's growth:

  1. Gather Information: Ensure you have your baby's current age in months, their most recent weight measurement in kilograms (kg), and their height measurement in centimeters (cm). Make sure these are accurate for the best results.
  2. Input Age: Enter the baby's age into the "Baby's Age (Months)" field. You can use whole numbers (e.g., 6) or decimals for partial months (e.g., 4.5 for 4 and a half months).
  3. Input Weight: Enter the baby's weight in kilograms (kg) into the "Baby's Weight (kg)" field.
  4. Input Height: Enter the baby's height in centimeters (cm) into the "Baby's Height (cm)" field.
  5. Select Gender: Choose your baby's gender (Male or Female) from the dropdown menu. This is important as growth charts differ between sexes.
  6. Calculate: Click the "Calculate Growth" button. The calculator will process your inputs and display the results.

How to Read Results:

  • Primary Result: This section will show a summary, often highlighting the calculated BMI percentile or a general assessment.
  • Weight Percentile: This number (e.g., 50th%) indicates that your baby weighs more than that percentage of babies of the same age and gender, and less than the remaining percentage.
  • Height Percentile: Similar to weight, this shows where your baby's length falls compared to their peers.
  • BMI: Your baby's Body Mass Index, along with its corresponding percentile for their age and gender.
  • Growth Table & Chart: These provide visual context, showing approximate values for different percentiles and how your baby's measurements compare over time.

Decision-Making Guidance: Remember, these are just tools to guide you. Slight variations from the average are normal. Focus on whether your baby is growing consistently along their own curve. If you have any concerns about your baby's growth, weight gain, or overall development, always consult your pediatrician. They can provide personalized advice based on your baby's unique health profile and history.

Key Factors That Affect Baby Growth Results

Several factors can influence a baby's growth trajectory and the resulting percentiles calculated by this tool. Understanding these can help parents interpret the data more effectively:

  1. Genetics: Just like adults, babies inherit genetic predispositions for size and growth rate from their parents. Tall parents often have taller children, and this plays a significant role regardless of other factors.
  2. Nutrition: This is perhaps the most critical external factor. Adequate intake of breast milk or formula, and later, appropriate introduction of solid foods, directly impacts weight and height gain. Malnutrition can stunt growth, while overfeeding can lead to excessive weight gain.
  3. Prenatal Health: The mother's health and nutrition during pregnancy, as well as factors like birth weight and gestational age, significantly influence a baby's initial growth. Premature babies, for instance, will follow different growth curves initially.
  4. Health Conditions: Underlying medical issues, such as chronic illnesses, hormonal imbalances (like thyroid issues), or digestive problems affecting nutrient absorption, can profoundly impact a baby's growth rate.
  5. Sleep and Activity Levels: While less direct than nutrition, adequate sleep is crucial for growth hormone release. Physical activity, even in infancy (tummy time, crawling), contributes to muscle development and overall physical progress.
  6. Environmental Factors: Exposure to illness, stress, or even environmental toxins can subtly affect a baby's ability to thrive and grow optimally. A supportive and healthy environment is key.
  7. Feeding Practices: The type of milk (breast milk vs. formula), the frequency and method of feeding, and the transition to solids all influence weight gain patterns.
  8. Measurement Accuracy: Errors in measuring weight or height can lead to inaccurate percentile calculations. Using calibrated scales and consistent measurement techniques is important.

Frequently Asked Questions (FAQ)

Q1: What is the 50th percentile for a baby?

A: The 50th percentile means your baby's measurement (weight or height) is exactly average. 50% of babies of the same age and gender are smaller, and 50% are larger. It represents the median value.

Q2: Is it bad if my baby is in the 5th percentile?

A: Not necessarily. The 5th percentile simply means your baby is smaller than 95% of babies their age and gender. If they have consistently followed this curve since birth and are otherwise healthy and active, it's likely normal for them. Concerns arise if there's a sudden drop in percentile or stagnation.

Q3: My baby is in the 90th percentile for weight but only 30th for height. Should I worry?

A: A significant gap between weight and height percentiles (like this scenario) is often called "weight gain disproportionate to length" and is something to discuss with your pediatrician. It might suggest the baby is carrying more weight than typical for their frame, and they can help determine if dietary adjustments or further investigation is needed.

Q4: How often should I measure my baby's growth?

A: For newborns and younger infants, regular checks at well-baby visits (usually monthly for the first few months) are standard. As they get older, checks every 2-3 months might suffice. For home use, track changes consistently but avoid obsessive daily measurements.

Q5: Does the calculator use WHO or CDC charts?

A: This calculator is designed to align with WHO growth standards for infants from birth to 2 years, which are widely accepted globally for assessing infant growth. The data presented in the table offers approximate values for reference.

Q6: Can I use this calculator for premature babies?

A: While the calculator accepts age in months, it's primarily intended for full-term babies. For premature babies, it's best to use corrected age (age from due date, not birth date) and consult specialized charts or your pediatrician for accurate growth assessment.

Q7: What is the difference between weight and height percentile?

A: The weight percentile shows how your baby's weight compares to other babies of the same age and sex. The height percentile does the same for their length or height. Ideally, these percentiles should be relatively close to each other, indicating proportionate growth.

Q8: How accurate is the BMI calculation for babies?

A: BMI for babies and children is interpreted differently than for adults. It's plotted on specific BMI-for-age growth charts, which account for the rapid changes in body composition during infancy and childhood. The calculator provides the BMI percentile, which is the correct way to assess it for this age group.

© 2023 Baby Growth Tracker. All rights reserved.

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Real-world use requires complex lookup tables/libraries based on WHO/CDC data. // This is a highly simplified approximation for demonstration. var weightPercentile = approximatePercentile(babyAge, babyWeight, gender, 'weight'); var heightPercentile = approximatePercentile(babyAge, babyHeight, gender, 'height'); // Calculate BMI: weight (kg) / height (m)^2 var babyHeightMeters = babyHeight / 100; var bmi = babyWeight / (babyHeightMeters * babyHeightMeters); var bmiPercentile = approximatePercentile(babyAge, bmi, gender, 'bmi'); document.getElementById("primaryResult").textContent = "BMI: " + bmi.toFixed(1) + " kg/m² (" + bmiPercentile.toFixed(0) + "th %ile)"; document.getElementById("weightPercentile").textContent = weightPercentile.toFixed(0) + "th %ile"; document.getElementById("heightPercentile").textContent = heightPercentile.toFixed(0) + "th %ile"; document.getElementById("bmiResult").textContent = bmi.toFixed(1) + " kg/m²"; updateChart(babyAge, weightPercentile, heightPercentile, bmiPercentile); } // Highly simplified percentile approximation function for demonstration. // Actual WHO/CDC data is complex and varies significantly by age and sex. // This function uses a very basic interpolation/extrapolation based on limited sample data. function approximatePercentile(age, measurement, gender, type) { // Sample data points (simplified) – Real data is much more granular and complex var growthData = { male: { weight: [ { age: 0, p5: 2.6, p50: 3.5, p95: 4.5 }, { age: 1, p5: 3.7, p50: 4.8, p95: 6.1 }, { age: 2, p5: 4.6, p50: 5.9, p95: 7.5 }, { age: 3, p5: 5.4, p50: 6.8, p95: 8.5 }, { age: 4, p5: 6.0, p50: 7.5, p95: 9.3 }, { age: 5, p5: 6.5, p50: 8.1, p95: 9.9 }, { age: 6, p5: 6.9, p50: 8.5, p95: 10.4 }, { age: 7, p5: 7.2, p50: 8.9, p95: 10.8 }, { age: 8, p5: 7.5, p50: 9.2, p95: 11.1 }, { age: 9, p5: 7.8, p50: 9.5, p95: 11.4 }, { age: 10, p5: 8.0, p50: 9.8, p95: 11.6 }, { age: 11, p5: 8.2, p50: 10.0, p95: 11.8 }, { age: 12, p5: 8.4, p50: 10.2, p95: 12.0 }, { age: 18, p5: 9.5, p50: 11.5, p95: 13.5 }, { age: 24, p5: 10.5, p50: 13.0, p95: 15.0 } ], height: [ { age: 0, p5: 47, p50: 51, p95: 55 }, { age: 1, p5: 52, p50: 56, p95: 60 }, { age: 2, p5: 56, p50: 60, p95: 64 }, { age: 3, p5: 59, p50: 63, p95: 67 }, { age: 4, p5: 62, p50: 66, p95: 70 }, { age: 5, p5: 64, p50: 68, p95: 72 }, { age: 6, p5: 66, p50: 70, p95: 74 }, { age: 7, p5: 68, p50: 72, p95: 76 }, { age: 8, p5: 70, p50: 74, p95: 78 }, { age: 9, p5: 71, p50: 75, p95: 79 }, { age: 10, p5: 73, p50: 77, p95: 81 }, { age: 11, p5: 74, p50: 78, p95: 82 }, { age: 12, p5: 75, p50: 80, p95: 84 }, { age: 18, p5: 80, p50: 86, p95: 92 }, { age: 24, p5: 85, p50: 92, p95: 98 } ], bmi: [ // BMI percentiles are less linear and require specific charts. This is a crude approximation. { age: 0, p5: 12.0, p50: 15.0, p95: 18.0 }, { age: 1, p5: 13.0, p50: 16.0, p95: 19.0 }, { age: 2, p5: 13.5, p50: 16.5, p95: 19.5 }, { age: 3, p5: 14.0, p50: 17.0, p95: 20.0 }, { age: 4, p5: 14.5, p50: 17.5, p95: 20.5 }, { age: 5, p5: 15.0, p50: 18.0, p95: 21.0 }, { age: 6, p5: 15.5, p50: 18.5, p95: 21.5 }, { age: 7, p5: 16.0, p50: 19.0, p95: 22.0 }, { age: 8, p5: 16.5, p50: 19.5, p95: 22.5 }, { age: 9, p5: 17.0, p50: 20.0, p95: 23.0 }, { age: 10, p5: 17.5, p50: 20.5, p95: 23.5 }, { age: 11, p5: 18.0, p50: 21.0, p95: 24.0 }, { age: 12, p5: 18.5, p50: 21.5, p95: 24.5 }, { age: 18, p5: 19.5, p50: 23.0, p95: 26.0 }, { age: 24, p5: 20.0, p50: 23.5, p95: 26.5 } ] }, female: { weight: [ { age: 0, p5: 2.5, p50: 3.4, p95: 4.3 }, { age: 1, p5: 3.5, p50: 4.6, p95: 5.8 }, { age: 2, p5: 4.3, p50: 5.6, p95: 7.1 }, { age: 3, p5: 5.0, p50: 6.4, p95: 8.0 }, { age: 4, p5: 5.6, p50: 7.0, p95: 8.7 }, { age: 5, p5: 6.1, p50: 7.5, p95: 9.2 }, { age: 6, p5: 6.5, p50: 7.9, p95: 9.6 }, { age: 7, p5: 6.8, p50: 8.2, p95: 10.0 }, { age: 8, p5: 7.1, p50: 8.5, p95: 10.3 }, { age: 9, p5: 7.3, p50: 8.8, p95: 10.6 }, { age: 10, p5: 7.5, p50: 9.0, p95: 10.8 }, { age: 11, p5: 7.7, p50: 9.2, p95: 11.0 }, { age: 12, p5: 7.9, p50: 9.4, p95: 11.2 }, { age: 18, p5: 8.8, p50: 10.7, p95: 12.7 }, { age: 24, p5: 9.7, p50: 12.0, p95: 14.0 } ], height: [ { age: 0, p5: 46, p50: 50, p95: 54 }, { age: 1, p5: 51, p50: 55, p95: 59 }, { age: 2, p5: 55, p50: 59, p95: 63 }, { age: 3, p5: 58, p50: 62, p95: 66 }, { age: 4, p5: 60, p50: 65, p95: 69 }, { age: 5, p5: 62, p50: 67, p95: 71 }, { age: 6, p5: 64, p50: 69, p95: 73 }, { age: 7, p5: 66, p50: 71, p95: 75 }, { age: 8, p5: 67, p50: 73, p95: 77 }, { age: 9, p5: 69, p50: 74, p95: 78 }, { age: 10, p5: 70, p50: 76, p95: 80 }, { age: 11, p5: 71, p50: 77, p95: 81 }, { age: 12, p5: 73, p50: 78, p95: 83 }, { age: 18, p5: 77, p50: 84, p95: 90 }, { age: 24, p5: 82, p50: 90, p95: 96 } ], bmi: [ { age: 0, p5: 11.5, p50: 14.5, p95: 17.5 }, { age: 1, p5: 12.5, p50: 15.5, p95: 18.5 }, { age: 2, p5: 13.0, p50: 16.0, p95: 19.0 }, { age: 3, p5: 13.5, p50: 16.5, p95: 19.5 }, { age: 4, p5: 14.0, p50: 17.0, p95: 20.0 }, { age: 5, p5: 14.5, p50: 17.5, p95: 20.5 }, { age: 6, p5: 15.0, p50: 18.0, p95: 21.0 }, { age: 7, p5: 15.5, p50: 18.5, p95: 21.5 }, { age: 8, p5: 16.0, p50: 19.0, p95: 22.0 }, { age: 9, p5: 16.5, p50: 19.5, p95: 22.5 }, { age: 10, p5: 17.0, p50: 20.0, p95: 23.0 }, { age: 11, p5: 17.5, p50: 20.5, p95: 23.5 }, { age: 12, p5: 18.0, p50: 21.0, p95: 24.0 }, { age: 18, p5: 19.0, p50: 22.5, p95: 25.5 }, { age: 24, p5: 19.5, p50: 23.0, p95: 26.0 } ] } }; var dataSet = growthData[gender][type]; if (!dataSet) return 50; // Default to 50th percentile if data missing // Find the two closest age data points var lowerPoint = null; var upperPoint = null; for (var i = 0; i < dataSet.length; i++) { if (dataSet[i].age = age) { upperPoint = dataSet[i]; break; // Found the upper bound, no need to search further } } // Handle cases where age is outside the data range if (!lowerPoint) { // Age is younger than the first data point if (type === 'bmi') return 50; // BMI range is more complex at birth return (measurement dataSet[0].p95) ? 95 : 50); } if (!upperPoint) { // Age is older than the last data point upperPoint = lowerPoint; // Use the last known point for extrapolation (simplification) } // If age is exactly on a data point if (lowerPoint.age === age) { if (measurement lowerPoint.p95) return 95; return 50; // Simplified: return 50th percentile if measurement is between p5 and p95 } if (upperPoint.age === age) { if (measurement upperPoint.p95) return 95; return 50; } // Linear interpolation between lowerPoint and upperPoint var ageRange = upperPoint.age – lowerPoint.age; var measurementRange = upperPoint.p50 – lowerPoint.p50; // Using P50 as reference for interpolation basis var percentileDiff = upperPoint.p5 – lowerPoint.p5; // Using P5 difference for range var ageRatio = (age – lowerPoint.age) / ageRange; // Calculate interpolated P50 and P5 values var interpolatedP50 = lowerPoint.p50 + ageRatio * (upperPoint.p50 – lowerPoint.p50); var interpolatedP5 = lowerPoint.p5 + ageRatio * (upperPoint.p5 – lowerPoint.p5); var interpolatedP95 = lowerPoint.p95 + ageRatio * (upperPoint.p95 – lowerPoint.p95); // Now determine the percentile based on the measurement if (measurement interpolatedP95) return 95; // Simple linear mapping between P5 and P95 based on P50 var range = interpolatedP95 – interpolatedP5; var valueOffset = measurement – interpolatedP5; var percentile = 5 + (valueOffset / range) * 90; // Map value to percentile 5-95 // Clamp results to 1-99 range percentile = Math.max(1, Math.min(99, percentile)); return percentile; } function resetCalculator() { document.getElementById("babyAge").value = "6"; document.getElementById("babyWeight").value = "7.5"; document.getElementById("babyHeight").value = "68"; document.getElementById("gender").value = "male"; // Clear errors document.getElementById("babyAgeError").style.display = 'none'; document.getElementById("babyWeightError").style.display = 'none'; document.getElementById("babyHeightError").style.display = 'none'; calculateGrowth(); // Recalculate with default values } function copyResults() { var primaryResult = document.getElementById("primaryResult").innerText; var weightPercentile = document.getElementById("weightPercentile").innerText; var heightPercentile = document.getElementById("heightPercentile").innerText; var bmiResult = document.getElementById("bmiResult").innerText; var age = document.getElementById("babyAge").value; var weight = document.getElementById("babyWeight").value; var height = document.getElementById("babyHeight").value; var gender = document.getElementById("gender").value; var assumptions = "Baby's Age: " + age + " months\n" + "Baby's Weight: " + weight + " kg\n" + "Baby's Height: " + height + " cm\n" + "Baby's Gender: " + gender.charAt(0).toUpperCase() + gender.slice(1); var resultsText = "— Baby Growth Analysis —\n\n" + primaryResult + "\n" + "Weight Percentile: " + weightPercentile + "\n" + "Height Percentile: " + heightPercentile + "\n" + "BMI: " + bmiResult + "\n\n" + "— Key Assumptions —\n" + assumptions; // Use Clipboard API if (navigator.clipboard && window.isSecureContext) { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Could not copy text: ', err); fallbackCopyTextToClipboard(resultsText); // Fallback for older browsers or non-secure contexts }); } else { fallbackCopyTextToClipboard(resultsText); } } // Fallback function for copy to clipboard function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position="fixed"; textArea.style.top = 0; textArea.style.left = 0; textArea.style.width = '2em'; textArea.style.height = '2em'; textArea.style.padding = 0; textArea.style.border = 'none'; textArea.style.outline = 'none'; textArea.style.boxShadow = 'none'; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'successful' : 'unsuccessful'; alert('Results copied to clipboard! (' + msg + ')'); } catch (err) { alert('Oops, unable to copy'); } document.body.removeChild(textArea); } // Charting Logic var growthChart = null; var ctx = null; function initChart() { ctx = document.getElementById('growthChartCanvas').getContext('2d'); growthChart = new Chart(ctx, { type: 'line', data: { labels: [], // Age in months datasets: [ { label: 'Weight Percentile', data: [], // Weight percentile values borderColor: 'rgb(75, 192, 192)', backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0.1, yAxisID: 'y-axis-percentile' }, { label: 'Height Percentile', data: [], // Height percentile values borderColor: 'rgb(255, 99, 132)', backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1, yAxisID: 'y-axis-percentile' } // BMI could be added as a third dataset if needed, perhaps on a separate Y-axis. ] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y-axis-percentile: { // Use the ID defined in datasets type: 'linear', position: 'left', min: 0, max: 100, title: { display: true, text: 'Percentile' } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(0) + '%'; } return label; } } } } } }); } function updateChart(currentAge, currentWeightP, currentHeightP, currentBmiP) { // This is a simplified chart update. In a real app, you'd populate it with more data points // or historical data if available. For this example, we'll just add the current point // if it's not already there and ensure labels are reasonable. if (!growthChart) { initChart(); // Initialize chart if not already done } var labels = growthChart.data.labels; var weightData = growthChart.data.datasets[0].data; var heightData = growthChart.data.datasets[1].data; // Check if the current age already exists to avoid duplicates var existingIndex = labels.indexOf(currentAge.toString()); if (existingIndex === -1) { // Add new data point labels.push(currentAge.toString()); weightData.push(currentWeightP); heightData.push(currentHeightP); // Keep data sorted by age for better chart appearance var combined = []; for (var i = 0; i < labels.length; i++) { combined.push({ label: labels[i], weight: weightData[i], height: heightData[i] }); } combined.sort(function(a, b) { return parseFloat(a.label) – parseFloat(b.label); }); labels = []; weightData = []; heightData = []; for (var i = 0; i < combined.length; i++) { labels.push(combined[i].label); weightData.push(combined[i].weight); heightData.push(combined[i].height); } growthChart.data.labels = labels; growthChart.data.datasets[0].data = weightData; growthChart.data.datasets[1].data = heightData; } else { // Update existing data point if it exists weightData[existingIndex] = currentWeightP; heightData[existingIndex] = currentHeightP; } growthChart.update(); } // Initial calculation and chart setup on page load document.addEventListener('DOMContentLoaded', function() { resetCalculator(); // Load default values and calculate initChart(); // Initialize the chart calculateGrowth(); // Ensure calculation is done after chart init });

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