Baby Height Weight Percentile Calculator Metric

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Baby Height and Weight Percentile Calculator (Metric)

Baby Growth Percentile Calculator

Enter your baby's details to see their height and weight percentiles according to WHO growth standards.

Enter age in full months (0-24 months).
Enter baby's weight in kilograms.
Enter baby's height in centimeters.
Boy Girl Select your baby's sex.

Your Baby's Growth Percentiles

Weight Percentile:
Height Percentile:
BMI:
BMI Percentile:
Percentiles are calculated using WHO (World Health Organization) growth standards, comparing your baby's measurements to a reference population. A higher percentile means your baby is larger than a higher percentage of babies of the same age and sex.

Understanding Baby Growth Percentiles

Monitoring your baby's growth is a crucial part of ensuring they are developing healthily. The baby height and weight percentile calculator (metric) is a valuable tool for parents and healthcare providers to track a child's progress against established growth standards. This calculator uses the World Health Organization (WHO) growth charts, which are widely recognized for their accuracy and global applicability for infants and young children up to two years of age.

What is a Baby Height and Weight Percentile Calculator (Metric)?

A baby height and weight percentile calculator (metric) is a digital tool designed to determine where your baby's measurements fall in relation to other babies of the same age and sex. It uses standardized growth charts, typically based on WHO data, to provide a percentile ranking for both length (height) and weight. The "metric" aspect signifies that the inputs and outputs are in metric units (kilograms for weight, centimeters for length, months for age), which are standard in most countries outside the United States.

Who should use it?

  • Parents: To gain insight into their baby's growth trajectory and discuss concerns with pediatricians.
  • Pediatricians and Healthcare Providers: To quickly assess a child's growth, identify potential issues, and monitor the effectiveness of interventions.
  • Childcare Providers: For general awareness of developmental milestones.

Common Misconceptions:

  • Myth: A low percentile means something is wrong. Reality: A low percentile (e.g., 5th) is perfectly normal if the baby has consistently followed that curve. Growth patterns are more important than absolute numbers.
  • Myth: A high percentile means the baby is overweight or unhealthy. Reality: Similar to low percentiles, a consistently high percentile (e.g., 90th) can be normal for a larger baby. The key is consistent growth.
  • Myth: All babies should be at the 50th percentile. Reality: The 50th percentile represents the median, but babies grow at different rates. A healthy baby can fall anywhere within the typical range (often considered between the 3rd and 97th percentiles).

Baby Height and Weight Percentile Calculator (Metric) Formula and Mathematical Explanation

The calculation of percentiles for baby height and weight is complex, relying on statistical models derived from extensive population data. The WHO uses the LMS (Lambda, Mu, Sigma) method to generate these growth standards. This method models the 3rd, 5th, 50th, 95th, and 97th percentiles using three parameters (L, M, S) that vary with age.

Simplified Explanation:

For a given age and sex, the WHO growth charts provide reference values for length and weight. The calculator essentially looks up these reference values and determines where your baby's specific measurement falls on the distribution curve. The BMI (Body Mass Index) is calculated first, and then its percentile is determined using similar age- and sex-specific charts.

Variables and Their Meanings:

Key Variables in Percentile Calculation
Variable Meaning Unit Typical Range
Age Baby's age since birth Months 0 – 24
Sex Baby's biological sex Categorical Boy / Girl
Weight Baby's measured weight Kilograms (kg) 0.1 – 20+ kg
Height Baby's measured length (recumbent) Centimeters (cm) 45 – 95+ cm
BMI Body Mass Index (Weight / Height²) kg/m² Calculated value (e.g., 10-20)
Percentile Ranking compared to peers % 0 – 100

Mathematical Derivation (Conceptual):

The LMS method models the distribution of a growth measure (like weight) at each age point. For a specific baby's measurement (Y) at a given age (x), the percentile (P) is calculated based on the age-specific L, M, and S values. The formula is conceptually derived from the generalized lambda distribution, but for practical purposes, calculators use lookup tables or algorithms that implement these complex statistical models.

BMI Calculation:

BMI = Weight (kg) / [Height (m)]²

Note: Height must be converted from cm to meters (cm / 100).

Practical Examples (Real-World Use Cases)

Example 1: A Healthy 12-Month-Old Boy

Scenario: Parents are visiting their pediatrician for a routine check-up. Their son, Leo, is exactly 12 months old. He was born full-term and has been gaining weight steadily. They want to understand his growth percentile.

Inputs:

  • Age: 12 months
  • Sex: Boy
  • Weight: 10.2 kg
  • Height: 76.0 cm

Calculation & Results:

  • BMI Calculation: Height in meters = 76.0 / 100 = 0.76 m. BMI = 10.2 / (0.76 * 0.76) = 10.2 / 0.5776 ≈ 17.66 kg/m².
  • Using the WHO growth standards for a 12-month-old boy:
  • Weight Percentile: Approximately 55th percentile
  • Height Percentile: Approximately 60th percentile
  • BMI Percentile: Approximately 58th percentile

Interpretation: Leo's measurements place him around the 55-60th percentile for both weight and height. This indicates he is growing well and is larger than about half of the boys his age, but smaller than the other half. His BMI percentile is also within a similar healthy range, suggesting a balanced body composition for his size. This is a very typical and healthy growth pattern.

Example 2: A Premature Baby Catching Up at 6 Months

Scenario: A baby girl, Maya, was born prematurely. She is now 6 months old chronologically but has been assessed using corrected age initially. For this calculator, we use chronological age. Her parents are concerned if she's catching up appropriately.

Inputs:

  • Age: 6 months
  • Sex: Girl
  • Weight: 6.5 kg
  • Height: 64.0 cm

Calculation & Results:

  • BMI Calculation: Height in meters = 64.0 / 100 = 0.64 m. BMI = 6.5 / (0.64 * 0.64) = 6.5 / 0.4096 ≈ 15.87 kg/m².
  • Using the WHO growth standards for a 6-month-old girl:
  • Weight Percentile: Approximately 25th percentile
  • Height Percentile: Approximately 30th percentile
  • BMI Percentile: Approximately 28th percentile

Interpretation: Maya is in the 25th-30th percentile range for weight and height. While this is below the median (50th percentile), it represents a healthy growth trajectory for her chronological age. If she was born prematurely, healthcare providers would also consider her corrected age. The fact that she is following a consistent percentile curve is a positive sign of appropriate "catch-up" growth. This percentile indicates she is larger than about 25-30% of girls her age.

How to Use This Baby Height and Weight Percentile Calculator (Metric)

Using the baby height and weight percentile calculator (metric) is straightforward. Follow these steps to get accurate results and understand your baby's growth:

  1. Gather Information: Ensure you have your baby's exact age in months, their weight in kilograms (kg), and their length (height) in centimeters (cm). Make sure the measurements are recent and accurate.
  2. Select Sex: Choose whether your baby is a boy or a girl from the dropdown menu. Growth charts differ between sexes.
  3. Enter Age: Input the baby's age in full months. For example, if your baby is 1 year and 3 months old, enter '15'. The calculator is designed for ages 0-24 months.
  4. Enter Weight: Type your baby's weight in kilograms. Use decimals if necessary (e.g., 7.5 kg).
  5. Enter Height: Type your baby's length in centimeters. Again, use decimals if needed (e.g., 68.5 cm).
  6. Calculate: Click the "Calculate Percentiles" button.

How to Read Results:

  • Main Result (e.g., BMI Percentile): This is often highlighted. It shows your baby's BMI percentile, indicating how their BMI compares to other babies of the same age and sex.
  • Weight Percentile: This tells you what percentage of babies of the same age and sex weigh less than your baby. For example, the 75th percentile means your baby weighs more than 75% of babies their age and sex.
  • Height Percentile: This indicates what percentage of babies of the same age and sex are shorter than your baby.
  • BMI: The calculated Body Mass Index value itself.

Decision-Making Guidance:

Remember, percentiles are just one part of the picture. Focus on the overall growth trend rather than a single measurement. Consistent growth along a specific percentile curve is generally a sign of healthy development. If you have any concerns about your baby's growth, always consult with your pediatrician or a healthcare professional. They can provide personalized advice based on your baby's unique health history and circumstances.

Key Factors That Affect Baby Growth Percentiles

While the calculator provides a snapshot based on age, sex, height, and weight, several underlying factors influence a baby's growth trajectory and their resulting percentile rankings. Understanding these can help parents have more informed discussions with healthcare providers.

  1. Genetics: Just like adults, babies inherit genetic predispositions for size from their parents. If parents are tall, their baby is more likely to be in a higher height percentile. Similarly, genetic factors influence a baby's potential frame size and metabolic rate, affecting weight.
  2. Nutrition and Feeding: This is paramount. Adequate intake of breast milk or formula is essential for growth. Issues like poor latch, insufficient milk supply, or difficulties with solid food introduction can impact weight gain. Conversely, overfeeding or inappropriate feeding practices can lead to higher weight percentiles. The quality and quantity of nutrients directly fuel growth.
  3. Prenatal Factors: A baby's growth in the womb sets the stage. Factors like maternal health during pregnancy (e.g., gestational diabetes, hypertension), placental function, and exposure to substances can affect birth weight and subsequent growth patterns. Premature babies, for instance, often start with lower percentiles but may exhibit significant "catch-up" growth.
  4. Health Conditions and Illnesses: Underlying medical issues can significantly impact growth. Chronic illnesses, digestive problems (like reflux or malabsorption), hormonal imbalances (e.g., thyroid issues), or infections can slow down or, less commonly, accelerate growth, leading to shifts in percentile rankings.
  5. Sleep Patterns: While not a direct input, adequate sleep is crucial for a baby's overall development, including growth hormone release, which primarily occurs during deep sleep. Disrupted sleep can potentially affect growth rates over time.
  6. Physical Activity and Development: As babies become more mobile, their energy expenditure increases. While this doesn't typically cause a drop in percentiles unless feeding is inadequate, it contributes to a healthy balance between energy intake and output, influencing BMI.
  7. Socioeconomic Factors: Access to quality healthcare, nutrition, and a safe environment can indirectly influence growth. Parental knowledge about infant nutrition and care, stress levels, and availability of resources all play a role.

Frequently Asked Questions (FAQ)

Q1: What is the difference between height and weight percentiles?

A: The height percentile shows how tall your baby is compared to others of the same age and sex. The weight percentile shows how much your baby weighs compared to others. Both are important indicators of growth.

Q2: Is it bad if my baby is in the 10th percentile for height but the 70th for weight?

A: This discrepancy warrants discussion with a pediatrician. It might suggest a higher proportion of body fat relative to length. The pediatrician will assess the baby's overall health, feeding patterns, and growth trend to determine if it's a concern.

Q3: How often should I use a baby percentile calculator?

A: It's best to use this tool after official measurements taken during pediatrician visits. Frequent self-measurement might cause unnecessary anxiety. Rely on your doctor's measurements and guidance.

Q4: Does the calculator account for premature babies?

A: This calculator uses chronological age (age since birth). For premature babies, healthcare providers often use "corrected age" (age adjusted for prematurity) for the first 1-2 years. Consult your doctor for growth assessment using corrected age.

Q5: What does the BMI percentile mean for an infant?

A: For infants, BMI percentile is interpreted differently than for older children or adults. It helps assess weight relative to height. A percentile between the 5th and 85th is generally considered within a healthy weight range, but interpretation should be done by a healthcare professional.

Q6: My baby's measurements changed percentiles significantly. Should I worry?

A: A single jump or drop in percentile might not be concerning if it's a minor fluctuation. However, consistent crossing of major percentile lines (e.g., moving from 50th to 10th) should be discussed with your pediatrician to rule out any underlying issues.

Q7: Are WHO growth charts the only standard?

A: WHO charts are the global standard for infants and young children (0-5 years) for assessing growth. In the US, the CDC (Centers for Disease Control and Prevention) charts are often used, which are based on WHO data for younger children but extend further. This calculator specifically uses WHO standards.

Q8: Can I use this calculator for my toddler (over 2 years old)?

A: This calculator is optimized for the WHO growth standards which typically cover ages 0-24 months. For children older than 24 months, different growth charts (like the CDC charts) are used, which may have different reference points and interpretations.

Baby Growth Chart Comparison (Weight & Height Percentiles)
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// WHO Growth Standards Data (Simplified for demonstration) // These are approximate values and a real implementation would use more precise data or algorithms. // Data structure: { sex: { age: { weight_p3, weight_p50, weight_p97, height_p3, height_p50, height_p97 } } } var whoData = { boy: { 0: { w3: 2.5, w50: 3.5, w97: 5.0, h3: 47.0, h50: 50.0, h97: 54.0 }, 1: { w3: 3.5, w50: 4.8, w97: 6.8, h3: 52.0, h50: 54.0, h97: 58.0 }, 2: { w3: 4.3, w50: 5.9, w97: 8.0, h3: 55.0, h50: 57.5, h97: 62.0 }, 3: { w3: 4.9, w50: 6.7, w97: 8.9, h3: 57.5, h50: 60.0, h97: 65.0 }, 4: { w3: 5.4, w50: 7.3, w97: 9.6, h3: 59.5, h50: 62.0, h97: 67.0 }, 5: { w3: 5.8, w50: 7.8, w97: 10.2, h3: 61.0, h50: 63.5, h97: 68.5 }, 6: { w3: 6.1, w50: 8.1, w97: 10.6, h3: 62.5, h50: 65.0, h97: 70.0 }, 7: { w3: 6.3, w50: 8.4, w97: 11.0, h3: 64.0, h50: 66.0, h97: 71.5 }, 8: { w3: 6.5, w50: 8.6, w97: 11.3, h3: 65.0, h50: 67.5, h97: 72.5 }, 9: { w3: 6.7, w50: 8.8, w97: 11.6, h3: 66.0, h50: 68.5, h97: 73.5 }, 10: { w3: 6.8, w50: 9.0, w97: 11.9, h3: 67.0, h50: 70.0, h97: 75.0 }, 11: { w3: 7.0, w50: 9.2, w97: 12.1, h3: 68.0, h50: 71.0, h97: 76.0 }, 12: { w3: 7.1, w50: 9.3, w97: 12.3, h3: 69.0, h50: 72.0, h97: 77.0 }, 13: { w3: 7.2, w50: 9.5, w97: 12.5, h3: 70.0, h50: 73.0, h97: 78.0 }, 14: { w3: 7.3, w50: 9.6, w97: 12.7, h3: 71.0, h50: 74.0, h97: 79.0 }, 15: { w3: 7.4, w50: 9.7, w97: 12.9, h3: 72.0, h50: 75.0, h97: 80.0 }, 16: { w3: 7.5, w50: 9.8, w97: 13.0, h3: 73.0, h50: 75.5, h97: 81.0 }, 17: { w3: 7.6, w50: 9.9, w97: 13.2, h3: 73.5, h50: 76.5, h97: 82.0 }, 18: { w3: 7.7, w50: 10.0, w97: 13.3, h3: 74.5, h50: 77.0, h97: 83.0 }, 19: { w3: 7.8, w50: 10.1, w97: 13.5, h3: 75.0, h50: 78.0, h97: 83.5 }, 20: { w3: 7.9, w50: 10.2, w97: 13.6, h3: 75.5, h50: 78.5, h97: 84.5 }, 21: { w3: 8.0, w50: 10.3, w97: 13.8, h3: 76.0, h50: 79.0, h97: 85.0 }, 22: { w3: 8.1, w50: 10.4, w97: 13.9, h3: 77.0, h50: 80.0, h97: 86.0 }, 23: { w3: 8.2, w50: 10.5, w97: 14.0, h3: 77.5, h50: 80.5, h97: 86.5 }, 24: { w3: 8.3, w50: 10.6, w97: 14.2, h3: 78.0, h50: 81.0, h97: 87.0 } }, girl: { 0: { w3: 2.3, w50: 3.3, w97: 4.8, h3: 46.0, h50: 49.0, h97: 53.0 }, 1: { w3: 3.3, w50: 4.5, w97: 6.4, h3: 51.0, h50: 53.0, h97: 57.0 }, 2: { w3: 4.0, w50: 5.6, w97: 7.6, h3: 54.0, h50: 56.5, h97: 61.0 }, 3: { w3: 4.6, w50: 6.3, w97: 8.4, h3: 56.0, h50: 59.0, h97: 64.0 }, 4: { w3: 5.0, w50: 6.9, w97: 9.1, h3: 58.0, h50: 61.0, h97: 66.0 }, 5: { w3: 5.3, w50: 7.3, w97: 9.6, h3: 59.5, h50: 62.5, h97: 68.0 }, 6: { w3: 5.6, w50: 7.6, w97: 10.0, h3: 61.0, h50: 64.0, h97: 69.5 }, 7: { w3: 5.8, w50: 7.9, w97: 10.3, h3: 62.0, h50: 65.0, h97: 70.5 }, 8: { w3: 6.0, w50: 8.1, w97: 10.6, h3: 63.0, h50: 66.0, h97: 71.5 }, 9: { w3: 6.1, w50: 8.3, w97: 10.8, h3: 64.0, h50: 67.0, h97: 72.5 }, 10: { w3: 6.3, w50: 8.5, w97: 11.1, h3: 65.0, h50: 68.0, h97: 73.5 }, 11: { w3: 6.4, w50: 8.6, w97: 11.3, h3: 66.0, h50: 69.0, h97: 74.5 }, 12: { w3: 6.5, w50: 8.8, w97: 11.5, h3: 67.0, h50: 70.0, h97: 75.0 }, 13: { w3: 6.6, w50: 8.9, w97: 11.7, h3: 67.5, h50: 71.0, h97: 76.0 }, 14: { w3: 6.7, w50: 9.0, w97: 11.8, h3: 68.5, h50: 71.5, h97: 76.5 }, 15: { w3: 6.8, w50: 9.1, w97: 12.0, h3: 69.0, h50: 72.0, h97: 77.5 }, 16: { w3: 6.9, w50: 9.2, w97: 12.1, h3: 70.0, h50: 73.0, h97: 78.0 }, 17: { w3: 7.0, w50: 9.3, w97: 12.3, h3: 70.5, h50: 73.5, h97: 78.5 }, 18: { w3: 7.1, w50: 9.4, w97: 12.4, h3: 71.0, h50: 74.0, h97: 79.5 }, 19: { w3: 7.2, w50: 9.5, w97: 12.6, h3: 71.5, h50: 74.5, h97: 80.0 }, 20: { w3: 7.3, w50: 9.6, w97: 12.7, h3: 72.0, h50: 75.0, h97: 80.5 }, 21: { w3: 7.4, w50: 9.7, w97: 12.8, h3: 72.5, h50: 75.5, h97: 81.0 }, 22: { w3: 7.5, w50: 9.8, w97: 13.0, h3: 73.0, h50: 76.0, h97: 81.5 }, 23: { w3: 7.6, w50: 9.9, w97: 13.1, h3: 73.5, h50: 76.5, h97: 82.0 }, 24: { w3: 7.7, w50: 10.0, w97: 13.2, h3: 74.0, h50: 77.0, h97: 82.5 } } }; // BMI Percentile Data (Simplified – requires more complex lookup tables or algorithms) // For demonstration, we'll use a placeholder logic. Real WHO BMI charts are complex. var bmiDataPlaceholder = { boy: { 0: { bmi3: 12.0, bmi50: 16.0, bmi97: 22.0 }, 6: { bmi3: 13.0, bmi50: 17.0, bmi97: 23.0 }, 12: { bmi3: 14.0, bmi50: 18.0, bmi97: 24.0 }, 18: { bmi3: 14.5, bmi50: 18.5, bmi97: 24.5 }, 24: { bmi3: 15.0, bmi50: 19.0, bmi97: 25.0 } }, girl: { 0: { bmi3: 11.5, bmi50: 15.5, bmi97: 21.5 }, 6: { bmi3: 12.5, bmi50: 16.5, bmi97: 22.5 }, 12: { bmi3: 13.5, bmi50: 17.5, bmi97: 23.5 }, 18: { bmi3: 14.0, bmi50: 18.0, bmi97: 24.0 }, 24: { bmi3: 14.5, bmi50: 18.5, bmi97: 24.5 } } }; function getPercentile(value, data, type, sex, age) { var sexData = data[sex]; if (!sexData) return '–'; // Find the closest age data point var ageData = null; var closestAge = -1; for (var dataAge in sexData) { if (parseInt(dataAge) closestAge) { closestAge = parseInt(dataAge); ageData = sexData[dataAge]; } } } if (!ageData) return '–'; // No data for this age range var p3 = ageData[type + '3']; var p50 = ageData[type + '50']; var p97 = ageData[type + '97']; if (p3 === undefined || p50 === undefined || p97 === undefined) return '–'; if (value = p97) return 'Greater than 97%'; if (value < p50) { // Interpolate between 3rd and 50th percentile return Math.round(((value – p3) / (p50 – p3)) * 47 + 3) + '%'; } else { // Interpolate between 50th and 97th percentile return Math.round(((value – p50) / (p97 – p50)) * 47 + 50) + '%'; } } function calculatePercentile() { var ageMonths = parseInt(document.getElementById('babyAgeMonths').value); var weightKg = parseFloat(document.getElementById('babyWeightKg').value); var heightCm = parseFloat(document.getElementById('babyHeightCm').value); var sex = document.getElementById('babySex').value; // Clear previous errors document.getElementById('ageError').style.display = 'none'; document.getElementById('weightError').style.display = 'none'; document.getElementById('heightError').style.display = 'none'; // Validation var isValid = true; if (isNaN(ageMonths) || ageMonths 24) { document.getElementById('ageError').textContent = 'Please enter a valid age between 0 and 24 months.'; document.getElementById('ageError').style.display = 'block'; isValid = false; } if (isNaN(weightKg) || weightKg <= 0) { document.getElementById('weightError').textContent = 'Please enter a valid weight greater than 0 kg.'; document.getElementById('weightError').style.display = 'block'; isValid = false; } if (isNaN(heightCm) || heightCm <= 0) { document.getElementById('heightError').textContent = 'Please enter a valid height greater than 0 cm.'; document.getElementById('heightError').style.display = 'block'; isValid = false; } if (!isValid) { return; } var data = whoData[sex]; var bmiPercentileResult = '–'; var bmiValue = '–'; if (data) { // Calculate BMI var heightM = heightCm / 100; bmiValue = (weightKg / (heightM * heightM)).toFixed(2); // Calculate BMI Percentile (using placeholder data) var bmiData = bmiDataPlaceholder[sex]; if (bmiData) { // Simplified BMI percentile lookup – real WHO charts are complex var currentAgeData = bmiData[Math.floor(ageMonths / 6) * 6]; // Get data for nearest 6-month interval if (currentAgeData) { var bmiP3 = currentAgeData.bmi3; var bmiP50 = currentAgeData.bmi50; var bmiP97 = currentAgeData.bmi97; if (parseFloat(bmiValue) = bmiP97) { bmiPercentileResult = 'Greater than 97%'; } else if (parseFloat(bmiValue) < bmiP50) { bmiPercentileResult = Math.round(((parseFloat(bmiValue) – bmiP3) / (bmiP50 – bmiP3)) * 47 + 3) + '%'; } else { bmiPercentileResult = Math.round(((parseFloat(bmiValue) – bmiP50) / (bmiP97 – bmiP50)) * 47 + 50) + '%'; } } } var weightPercentile = getPercentile(weightKg, whoData, 'w', sex, ageMonths); var heightPercentile = getPercentile(heightCm, whoData, 'h', sex, ageMonths); document.getElementById('weightPercentile').innerHTML = 'Weight Percentile: ' + weightPercentile + ''; document.getElementById('heightPercentile').innerHTML = 'Height Percentile: ' + heightPercentile + ''; document.getElementById('bmiResult').innerHTML = 'BMI: ' + bmiValue + ' kg/m²'; document.getElementById('bmiPercentile').innerHTML = 'BMI Percentile: ' + bmiPercentileResult + ''; // Determine main result – let's highlight BMI Percentile document.getElementById('mainResult').textContent = bmiPercentileResult; updateChart(ageMonths, weightKg, heightCm, sex); } else { document.getElementById('weightPercentile').innerHTML = 'Weight Percentile: Error'; document.getElementById('heightPercentile').innerHTML = 'Height Percentile: Error'; document.getElementById('bmiResult').innerHTML = 'BMI: Error'; document.getElementById('bmiPercentile').innerHTML = 'BMI Percentile: Error'; document.getElementById('mainResult').textContent = 'Error'; } } function resetCalculator() { document.getElementById('babyAgeMonths').value = '12'; document.getElementById('babyWeightKg').value = '10.5'; document.getElementById('babyHeightCm').value = '76.0'; document.getElementById('babySex').value = 'boy'; // Clear errors document.getElementById('ageError').style.display = 'none'; document.getElementById('weightError').style.display = 'none'; document.getElementById('heightError').style.display = 'none'; calculatePercentile(); // Recalculate with defaults } function copyResults() { var weightPercentile = document.getElementById('weightPercentile').textContent.replace('Weight Percentile: ', "); var heightPercentile = document.getElementById('heightPercentile').textContent.replace('Height Percentile: ', "); var bmi = document.getElementById('bmiResult').textContent.replace('BMI: ', "); var bmiPercentile = document.getElementById('bmiPercentile').textContent.replace('BMI Percentile: ', "); var mainResult = document.getElementById('mainResult').textContent; var assumptions = "Baby Age: " + document.getElementById('babyAgeMonths').value + " months\n"; assumptions += "Baby Sex: " + document.getElementById('babySex').value + "\n"; assumptions += "Baby Weight: " + document.getElementById('babyWeightKg').value + " kg\n"; assumptions += "Baby Height: " + document.getElementById('babyHeightCm').value + " cm\n"; var resultsText = "— Baby Growth Percentiles —\n\n"; resultsText += "Primary Result (BMI Percentile): " + mainResult + "\n\n"; resultsText += "Weight Percentile: " + weightPercentile + "\n"; resultsText += "Height Percentile: " + heightPercentile + "\n"; resultsText += "BMI: " + bmi + "\n"; resultsText += "BMI Percentile: " + bmiPercentile + "\n\n"; resultsText += "— Key Assumptions —\n"; resultsText += 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!' : 'Copy failed'; // Optionally show a temporary message to the user console.log(msg); } catch (err) { console.log('Copying text area value failed', err); } document.body.removeChild(textArea); } // Charting Logic var growthChart; function updateChart(age, weight, height, sex) { var ctx = document.getElementById('growthChart').getContext('2d'); // Clear previous chart if it exists if (growthChart) { growthChart.destroy(); } // Prepare data for chart – simplified representation // We'll plot the 3rd, 50th, and 97th percentiles for weight and height at the given age var ageData = whoData[sex][age]; if (!ageData) { // Try to find nearest age data if exact match not found var ages = Object.keys(whoData[sex]).map(Number).sort((a, b) => a – b); var closestAge = ages.reduce((prev, curr) => Math.abs(curr – age) < Math.abs(prev – age) ? curr : prev); ageData = whoData[sex][closestAge]; if (!ageData) return; // Still no data } var chartData = { labels: ['3rd Percentile', '50th Percentile', '97th Percentile'], datasets: [ { label: 'Weight (kg)', data: [ageData.w3, ageData.w50, ageData.w97], borderColor: 'rgba(75, 192, 192, 1)', backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 7 }, { label: 'Height (cm)', data: [ageData.h3, ageData.h50, ageData.h97], borderColor: 'rgba(255, 99, 132, 1)', backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 7 } ] }; // Add the baby's actual measurements as points chartData.datasets.push({ label: 'Baby\'s Weight', data: [weight, weight, weight], // Repeat for each label to show as a single point borderColor: 'rgba(0, 0, 0, 1)', backgroundColor: 'rgba(0, 0, 0, 1)', fill: false, pointRadius: 8, pointHoverRadius: 10, type: 'scatter' // Use scatter for single points }); chartData.datasets.push({ label: 'Baby\'s Height', data: [height, height, height], // Repeat for each label to show as a single point borderColor: 'rgba(0, 100, 0, 1)', backgroundColor: 'rgba(0, 100, 0, 1)', fill: false, pointRadius: 8, pointHoverRadius: 10, type: 'scatter' // Use scatter for single points }); growthChart = new Chart(ctx, { type: 'bar', // Base type, but we'll mix with scatter data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Measurement Value' } }, x: { title: { display: true, text: 'Age: ' + age + ' Months (' + sex.charAt(0).toUpperCase() + sex.slice(1) + ')' } } }, plugins: { title: { display: true, text: 'WHO Growth Standards Comparison for Age ' + age + ' Months' }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(2); } return label; } } } } } }); } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { resetCalculator(); // Load with default values // Initialize chart with default values var initialAge = parseInt(document.getElementById('babyAgeMonths').value); var initialWeight = parseFloat(document.getElementById('babyWeightKg').value); var initialHeight = parseFloat(document.getElementById('babyHeightCm').value); var initialSex = document.getElementById('babySex').value; updateChart(initialAge, initialWeight, initialHeight, initialSex); }); // Add Chart.js library dynamically if not present (for canvas chart) // In a real-world scenario, you'd include this in the if (typeof Chart === 'undefined') { var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js'; // Use a specific version script.onload = function() { console.log('Chart.js loaded.'); // Re-run calculation and chart update after library loads resetCalculator(); var initialAge = parseInt(document.getElementById('babyAgeMonths').value); var initialWeight = parseFloat(document.getElementById('babyWeightKg').value); var initialHeight = parseFloat(document.getElementById('babyHeightCm').value); var initialSex = document.getElementById('babySex').value; updateChart(initialAge, initialWeight, initialHeight, initialSex); }; document.head.appendChild(script); }

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