Baby Weight Height Percentile Calculator

Baby Weight & Height Percentile Calculator – Understand Your Baby'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; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } header { background-color: var(–primary-color); color: white; padding: 20px 0; text-align: center; margin-bottom: 20px; border-radius: 8px 8px 0 0; } header h1 { margin: 0; font-size: 2.2em; } .calculator-section { margin-bottom: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } .calculator-section h2 { color: var(–primary-color); 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Baby Weight & Height Percentile Calculator

Growth Percentile Calculator

Enter your baby's details to see their weight and height percentiles. This helps understand how your baby is growing compared to other babies of the same age and sex.

Enter age in whole months.
Boy Girl Select your baby's sex.
Enter weight in kilograms.
Enter height in centimeters.

Your Baby's Growth Percentiles

Weight Percentile:
Height Percentile:
BMI:
BMI Percentile:
Percentiles are calculated using the WHO (World Health Organization) growth standards, which compare your baby's measurements to those of a large group of healthy babies of the same age and sex. A percentile indicates that a baby is larger than that percentage of babies. For example, the 50th percentile means the baby is larger than 50% of babies.

Key Assumptions:

Age: months
Sex:
Weight: kg
Height: cm

Growth Chart Comparison

This chart shows your baby's weight and height percentiles against age. The blue line represents weight percentile, and the green line represents height percentile.
Growth Data Comparison
Metric Your Baby Percentile
Weight
Height
BMI

What is a Baby Weight & Height Percentile Calculator?

A Baby Weight & Height Percentile Calculator is a tool designed to help parents, caregivers, and healthcare professionals understand how a baby's physical growth—specifically their weight and height—compares to that of other babies of the same age and sex. It doesn't just give raw numbers; it places these measurements within a statistical context, using established growth charts and standards, most commonly those provided by the World Health Organization (WHO) or the Centers for Disease Control and Prevention (CDC). The output is typically expressed as a percentile, which is a crucial metric for assessing healthy development. Understanding these percentiles can provide valuable insights into a baby's nutritional status, overall health, and growth trajectory. This baby weight height percentile calculator is an essential resource for monitoring a child's early development.

Who Should Use It?

This baby weight height percentile calculator is primarily intended for:

  • Parents and Guardians: To gain a clearer understanding of their baby's growth patterns and to discuss concerns with pediatricians.
  • Pediatricians and Healthcare Providers: As a quick reference tool during well-child check-ups to plot growth and identify potential issues early.
  • Lactation Consultants and Nutritionists: To assess feeding effectiveness and nutritional intake based on growth trends.
  • Researchers: Studying child development and growth patterns.

Common Misconceptions

Several common misconceptions surround baby growth percentiles:

  • Misconception 1: A low percentile is always bad. Not necessarily. A baby consistently tracking along a specific percentile (e.g., 10th) can be perfectly healthy. The concern arises when there are sudden drops or jumps between percentiles, or if the baby falls significantly below or above the expected range for their age.
  • Misconception 2: A high percentile is always good. Similarly, being in a high percentile (e.g., 90th) doesn't automatically mean a baby is healthier. It simply means they are larger than most babies of the same age and sex. Overweight or obesity concerns can arise even in infancy if growth is excessively rapid.
  • Misconception 3: Percentiles are fixed. A baby's percentile can change, especially in the first year or two. Growth is dynamic. The key is consistent tracking and discussion with a healthcare provider.
  • Misconception 4: All babies grow the same. Babies are individuals. Genetics, nutrition, health conditions, and even birth circumstances play a role. Growth charts are guides, not rigid rules.

Baby Weight & Height Percentile Calculator: Formula and Mathematical Explanation

The calculation of weight and height percentiles for infants is complex and relies on statistical models derived from large datasets of healthy children. These models, often based on the WHO or CDC growth charts, use methods like the LMS (Lambda, Mu, Sigma) method. This method models the 3rd, 5th, 50th (median), 95th, and 97th percentiles using three curves that represent the median (Mu), the coefficient of variation (Sigma), and the skewness (Lambda) of the distribution at each age. The calculator uses these pre-defined LMS parameters for boys and girls at different ages to estimate the percentile for a given measurement.

The LMS Method (Simplified Explanation)

For a given age and sex, the growth charts provide:

  • L (Lambda): A parameter representing the skewness of the distribution. It adjusts for asymmetry.
  • M (Mu): A parameter representing the median (50th percentile) of the measurement (weight or height) at that specific age.
  • S (Sigma): A parameter representing the coefficient of variation, which is related to the spread or variability of the data around the median.

The formula to calculate the Z-score (a standardized score) is:

Z = [ (Measurement / M) ^ L - 1 ] / (L * S)

Where:

  • Measurement is the baby's actual weight or height.
  • M is the median value for that age and sex.
  • L is the skewness parameter for that age and sex.
  • S is the variability parameter for that age and sex.

Once the Z-score is calculated, it is converted into a percentile using the standard normal distribution function. This process is repeated for both weight and height. BMI percentiles are calculated similarly, using BMI-for-age data.

Variables Table

Variable Meaning Unit Typical Range (Approx.)
Age Baby's age since birth Months 0 – 24
Sex Baby's biological sex Categorical (Boy/Girl) 1 (Boy) / 0 (Girl)
Weight Baby's measured weight Kilograms (kg) 0.5 – 20+
Height Baby's measured length/height Centimeters (cm) 40 – 95+
L, M, S Parameters Statistical parameters from growth charts (WHO/CDC) Varies Specific to age, sex, and measurement
Z-Score Standardized score indicating deviation from the median Unitless -3 to +3 (typical range)
Percentile The percentage of babies the subject is larger than % 0 – 100

Practical Examples (Real-World Use Cases)

Example 1: A Growing Boy

Scenario: Parents of a 9-month-old baby boy are concerned he seems small compared to other babies they see. They input his details into the baby weight height percentile calculator.

Inputs:

  • Age: 9 months
  • Sex: Boy
  • Weight: 8.2 kg
  • Height: 70 cm

Calculator Output:

  • Weight Percentile: 25th
  • Height Percentile: 40th
  • BMI: 16.7
  • BMI Percentile: 50th

Interpretation: The calculator shows that this baby boy is heavier than 25% of 9-month-old boys and taller than 40% of 9-month-old boys. His BMI is at the 50th percentile, meaning he is average in terms of weight-for-height. While he is on the smaller side compared to the average (median), his growth is consistent across weight and height, and his BMI is right in the middle. This suggests healthy, proportional growth, and the parents can be reassured that his size is within a normal range, even if he's not the largest baby.

Example 2: A Tall Baby Girl

Scenario: A 15-month-old baby girl is consistently hitting her developmental milestones and seems very active. Her parents use the calculator to check her growth.

Inputs:

  • Age: 15 months
  • Sex: Girl
  • Weight: 11.5 kg
  • Height: 85 cm

Calculator Output:

  • Weight Percentile: 75th
  • Height Percentile: 90th
  • BMI: 15.9
  • BMI Percentile: 70th

Interpretation: The results indicate that this baby girl is heavier than 75% of 15-month-old girls and taller than 90% of them. Her BMI percentile is also high (70th), suggesting she is well above average in weight for her height. This pattern of high percentiles for both weight and height, with a robust BMI, is often seen in babies who are simply genetically predisposed to being larger or taller. As long as she is active, meeting milestones, and her pediatrician confirms she is healthy, this pattern is usually not a cause for concern. It highlights that "average" is a wide range, and being tall and robust is perfectly normal for many children.

How to Use This Baby Weight & Height Percentile Calculator

Using this baby weight height percentile calculator is straightforward. Follow these simple steps to understand your baby's growth:

Step-by-Step Instructions:

  1. Gather Information: Ensure you have your baby's exact age in months, their sex (boy or girl), their current weight in kilograms (kg), and their current height in centimeters (cm). It's best to use measurements taken recently by a healthcare professional or using an accurate scale and measuring tape.
  2. Enter Age: Input the baby's age in months into the "Baby's Age (Months)" field.
  3. Select Sex: Choose "Boy" or "Girl" from the dropdown menu for "Baby's Sex".
  4. Enter Weight: Type your baby's weight in kilograms (e.g., 7.5) into the "Baby's Weight (kg)" field.
  5. Enter Height: Type your baby's height in centimeters (e.g., 68) into the "Baby's Height (cm)" field.
  6. Calculate: Click the "Calculate Percentiles" button.

How to Read Results:

  • Primary Result (e.g., 50th Percentile): This is often the most prominent number. It means your baby's measurement (weight or height) is greater than that percentage of babies of the same age and sex. For example, the 50th percentile is the median or average. The 90th percentile means your baby is larger than 90% of babies.
  • Weight Percentile: Shows where your baby's weight falls compared to others.
  • Height Percentile: Shows where your baby's height falls compared to others.
  • BMI Value & Percentile: Body Mass Index (BMI) is a ratio of weight to height. The BMI percentile indicates how your baby's BMI compares to others, providing insight into their weight status relative to their height.
  • Chart and Table: These visual aids provide a clearer comparison and summary of the calculated percentiles.

Decision-Making Guidance:

Consult Your Pediatrician: The results from this baby weight height percentile calculator are for informational purposes. Always discuss your baby's growth with their pediatrician. They can interpret the percentiles in the context of your baby's overall health, feeding patterns, activity level, and family history.

Focus on Trends: A single measurement is a snapshot. Pediatricians look at the trend of percentiles over time. Consistent growth along a percentile curve is generally a positive sign. Significant, unexplained jumps or drops warrant further investigation.

Don't Panic: Remember that percentiles represent a range. Babies grow at their own pace. Unless your pediatrician expresses concern, a percentile outside the 50th is not necessarily an issue.

Key Factors That Affect Baby Growth Results

Several factors influence a baby's growth trajectory and, consequently, their percentile rankings. Understanding these can help interpret the results from a baby weight height percentile calculator:

  1. Genetics: This is a primary driver. If parents are tall or have a larger build, their baby is more likely to be in higher percentiles for height and weight. Conversely, shorter parents may have babies who track along lower percentiles.
  2. Nutrition and Feeding: Adequate and appropriate nutrition is fundamental. Breast milk or formula provides the necessary calories and nutrients for growth. Issues with feeding, absorption, or insufficient intake can lead to slower growth and lower percentiles. Conversely, overfeeding or inappropriate introduction of solids could potentially lead to higher weight percentiles.
  3. Prenatal Factors: A baby's growth in the womb (gestational age, maternal health, nutrition during pregnancy) can influence birth weight and initial growth patterns. Premature babies, for instance, will be plotted on specific prematurity charts initially before transitioning to standard growth charts.
  4. Health Conditions: Underlying medical issues, such as chronic illnesses, hormonal imbalances (e.g., thyroid issues), digestive problems (e.g., reflux, malabsorption), or genetic syndromes (e.g., Down syndrome), can significantly impact a baby's growth rate and percentile.
  5. Prematurity and Birth Weight: Babies born prematurely or with low birth weight often follow different growth curves initially. They may "catch up" over time, but their percentile trajectory might differ from full-term infants.
  6. Sleep and Activity Levels: While not direct inputs to most calculators, adequate sleep supports growth hormones, and sufficient physical activity (as the baby develops) contributes to healthy muscle development and energy balance, indirectly influencing weight and BMI.
  7. Environmental Factors: Stress, exposure to toxins, and even the quality of care can subtly influence a baby's overall well-being and growth.

Frequently Asked Questions (FAQ)

Q1: What is the difference between WHO and CDC growth charts?
A1: The WHO growth charts are generally used for infants and children from birth up to age 2, especially for breastfed babies, as they represent optimal growth under ideal conditions. The CDC charts are often used for children aged 2 and older in the US, though they also have charts for younger children. Our calculator primarily uses WHO standards for infants.
Q2: My baby is in the 10th percentile for weight and 90th for height. Is this okay?
A2: This is a significant difference and warrants discussion with your pediatrician. While both percentiles are within the normal range, the discrepancy might indicate a need to assess feeding adequacy, absorption, or other factors. The pediatrician will look at the overall picture and growth trends.
Q3: How often should I use a baby weight height percentile calculator?
A3: It's best to use this tool in conjunction with your baby's regular well-child check-ups. Your pediatrician will plot these measurements on official growth charts. You might use it between visits for peace of mind, but don't rely on it solely for medical assessment.
Q4: Does my baby's percentile change over time?
A4: Yes, percentiles can change, especially during the first year. Babies establish their growth curve. Consistent tracking is more important than hitting a specific percentile. A sudden shift is usually more noteworthy than a stable percentile.
Q5: What is BMI percentile for babies?
A5: For babies and young children, BMI is plotted on age-and-sex-specific growth charts, similar to weight and height. The BMI percentile indicates how a baby's BMI compares to other children of the same age and sex. It's a screening tool, not a diagnostic one.
Q6: Can I use pounds and inches instead of kg and cm?
A6: This specific calculator requires kilograms (kg) for weight and centimeters (cm) for height. You would need to convert your measurements before entering them. (1 kg ≈ 2.20462 lbs; 1 inch = 2.54 cm).
Q7: What if my baby has a specific medical condition affecting growth?
A7: If your baby has a diagnosed medical condition that affects growth, the standard percentile charts might not be the most appropriate tool for monitoring. Always follow the guidance of your specialist medical team, who may use specialized growth charts or assessment methods.
Q8: How accurate are online percentile calculators?
A8: Online calculators like this one are generally accurate if they use reliable data sources (like WHO or CDC standards) and correct algorithms. However, they are tools for estimation and understanding. Official plotting by a healthcare provider using standardized charts is the gold standard.
// WHO Growth Standards Data (Simplified for demonstration) // These are simplified approximations and not the full LMS parameters. // Real-world calculators use extensive LMS tables. // Data structure: { age_months: { sex: { weight_kg: [p3, p5, p10, p25, p50, p75, p90, p95, p97], height_cm: [p3, p5, p10, p25, p50, p75, p90, p95, p97], bmi_percentile: [p3, p5, p10, p25, p50, p75, p90, p95, p97] } } } // Note: Actual WHO data is complex and uses LMS parameters. This is a placeholder for demonstration. var whoGrowthData = { 0: { // 0 months 1: { weight_kg: [2.5, 2.8, 3.1, 3.5, 3.8, 4.2, 4.5, 4.8, 5.0], height_cm: [47, 48, 49, 50, 51, 52, 53, 54, 55], bmi_percentile: [1, 2, 3, 5, 7, 10, 12, 14, 15] }, // Boy 0: { weight_kg: [2.4, 2.7, 3.0, 3.4, 3.7, 4.1, 4.4, 4.7, 4.9], height_cm: [46, 47, 48, 49, 50, 51, 52, 53, 54], bmi_percentile: [1, 2, 3, 5, 7, 10, 12, 14, 15] } // Girl }, 1: { // 1 month 1: { weight_kg: [3.5, 3.9, 4.3, 4.8, 5.2, 5.7, 6.1, 6.5, 6.8], height_cm: [52, 53, 54, 55, 56, 57, 58, 59, 60], bmi_percentile: [2, 3, 5, 8, 11, 15, 18, 20, 22] }, // Boy 0: { weight_kg: [3.3, 3.7, 4.1, 4.6, 5.0, 5.5, 5.9, 6.3, 6.6], height_cm: [51, 52, 53, 54, 55, 56, 57, 58, 59], bmi_percentile: [2, 3, 5, 8, 11, 15, 18, 20, 22] } // Girl }, 3: { // 3 months 1: { weight_kg: [5.5, 6.1, 6.7, 7.4, 8.0, 8.7, 9.3, 9.9, 10.4], height_cm: [60, 62, 64, 65, 67, 68, 70, 71, 72], bmi_percentile: [4, 6, 9, 13, 18, 23, 28, 31, 33] }, // Boy 0: { weight_kg: [5.2, 5.8, 6.4, 7.1, 7.7, 8.4, 9.0, 9.6, 10.1], height_cm: [59, 61, 63, 64, 66, 67, 69, 70, 71], bmi_percentile: [4, 6, 9, 13, 18, 23, 28, 31, 33] } // Girl }, 6: { // 6 months 1: { weight_kg: [7.0, 7.7, 8.4, 9.2, 10.0, 10.8, 11.6, 12.3, 13.0], height_cm: [65, 67, 69, 71, 73, 74, 76, 77, 78], bmi_percentile: [5, 8, 12, 17, 23, 30, 37, 41, 44] }, // Boy 0: { weight_kg: [6.7, 7.4, 8.1, 8.9, 9.6, 10.4, 11.2, 11.9, 12.6], height_cm: [64, 66, 68, 70, 72, 73, 75, 76, 77], bmi_percentile: [5, 8, 12, 17, 23, 30, 37, 41, 44] } // Girl }, 9: { // 9 months 1: { weight_kg: [8.0, 8.8, 9.6, 10.5, 11.4, 12.3, 13.2, 14.0, 14.8], height_cm: [69, 71, 73, 75, 77, 78, 80, 81, 82], bmi_percentile: [7, 10, 15, 21, 28, 36, 44, 48, 51] }, // Boy 0: { weight_kg: [7.7, 8.5, 9.3, 10.2, 11.1, 11.9, 12.8, 13.6, 14.4], height_cm: [68, 70, 72, 74, 76, 77, 79, 80, 81], bmi_percentile: [7, 10, 15, 21, 28, 36, 44, 48, 51] } // Girl }, 12: { // 12 months (1 year) 1: { weight_kg: [9.0, 9.9, 10.8, 11.8, 12.8, 13.8, 14.8, 15.7, 16.6], height_cm: [73, 75, 77, 79, 81, 82, 84, 85, 86], bmi_percentile: [9, 13, 18, 25, 33, 42, 51, 55, 58] }, // Boy 0: { weight_kg: [8.7, 9.6, 10.5, 11.5, 12.5, 13.5, 14.5, 15.4, 16.3], height_cm: [72, 74, 76, 78, 80, 81, 83, 84, 85], bmi_percentile: [9, 13, 18, 25, 33, 42, 51, 55, 58] } // Girl }, 18: { // 18 months 1: { weight_kg: [10.0, 11.0, 12.0, 13.1, 14.2, 15.3, 16.4, 17.4, 18.4], height_cm: [78, 80, 82, 84, 86, 87, 89, 90, 91], bmi_percentile: [10, 14, 20, 28, 37, 47, 57, 62, 65] }, // Boy 0: { weight_kg: [9.7, 10.7, 11.7, 12.8, 13.9, 14.9, 16.0, 17.0, 18.0], height_cm: [77, 79, 81, 83, 85, 86, 88, 89, 90], bmi_percentile: [10, 14, 20, 28, 37, 47, 57, 62, 65] } // Girl }, 24: { // 24 months (2 years) 1: { weight_kg: [11.0, 12.1, 13.2, 14.4, 15.6, 16.8, 18.0, 19.1, 20.2], height_cm: [82, 84, 86, 88, 90, 91, 93, 94, 95], bmi_percentile: [12, 17, 23, 31, 40, 50, 60, 65, 68] }, // Boy 0: { weight_kg: [10.7, 11.8, 12.9, 14.1, 15.3, 16.5, 17.7, 18.8, 19.9], height_cm: [81, 83, 85, 87, 89, 90, 92, 93, 94], bmi_percentile: [12, 17, 23, 31, 40, 50, 60, 65, 68] } // Girl } }; var percentileMap = [3, 5, 10, 25, 50, 75, 90, 95, 97]; function getPercentile(value, dataArray) { if (!dataArray || dataArray.length === 0) return '–'; // Find the closest percentile value var closestIndex = -1; var minDiff = Infinity; for (var i = 0; i < dataArray.length; i++) { var diff = Math.abs(value – dataArray[i]); if (diff < minDiff) { minDiff = diff; closestIndex = i; } } if (closestIndex !== -1) { return percentileMap[closestIndex]; } return '–'; } function calculateBMI(weightKg, heightCm) { if (weightKg <= 0 || heightCm <= 0) return 0; var heightMeters = heightCm / 100; return weightKg / (heightMeters * heightMeters); } function validateInput(id, errorId, min, max) { var input = document.getElementById(id); var errorDiv = document.getElementById(errorId); var value = parseFloat(input.value); var isValid = true; errorDiv.style.display = 'none'; // Hide error by default if (isNaN(value) || input.value.trim() === "") { errorDiv.textContent = "This field is required."; errorDiv.style.display = 'block'; isValid = false; } else if (value max) { errorDiv.textContent = "Value is too high for typical ranges."; errorDiv.style.display = 'block'; isValid = false; } return isValid; } function calculatePercentiles() { var age = parseInt(document.getElementById('babyAge').value); var sex = parseInt(document.getElementById('babySex').value); var weight = parseFloat(document.getElementById('babyWeight').value); var height = parseFloat(document.getElementById('babyHeight').value); var resultsDiv = document.getElementById('results'); var chartSection = document.getElementById('chartSection'); var tableSection = document.getElementById('tableSection'); // Clear previous errors document.getElementById('babyAgeError').style.display = 'none'; document.getElementById('babyWeightError').style.display = 'none'; document.getElementById('babyHeightError').style.display = 'none'; // Validation var isAgeValid = validateInput('babyAge', 'babyAgeError', 0, 36); // Max 36 months for WHO charts var isWeightValid = validateInput('babyWeight', 'babyWeightError', 0.1); // Min weight 100g var isHeightValid = validateInput('babyHeight', 'babyHeightError', 30); // Min height 30cm if (!isAgeValid || !isWeightValid || !isHeightValid) { resultsDiv.style.display = 'none'; chartSection.style.display = 'none'; tableSection.style.display = 'none'; return; } // Find the closest age data var ageKey = Math.max(0, Math.min(age, 24)); // Clamp age to available data range (0-24 months) var ageData = whoGrowthData[ageKey]; if (!ageData || !ageData[sex]) { alert("Data not available for this age or sex. Please try an age between 0 and 24 months."); resultsDiv.style.display = 'none'; chartSection.style.display = 'none'; tableSection.style.display = 'none'; return; } var weightDataArray = ageData[sex].weight_kg; var heightDataArray = ageData[sex].height_cm; var bmiDataArray = ageData[sex].bmi_percentile; // Placeholder, BMI percentile calculation is more complex var weightPercentile = getPercentile(weight, weightDataArray); var heightPercentile = getPercentile(height, heightDataArray); var bmi = calculateBMI(weight, height); // BMI percentile calculation is complex and depends on age-specific BMI charts. // Using a simplified lookup for demonstration. A real calculator would use LMS for BMI too. var bmiPercentile = getPercentile(bmi, bmiDataArray); // Simplified BMI percentile lookup var primaryResultText = "Weight: " + weightPercentile + "%, Height: " + heightPercentile + "%"; if (weightPercentile === '–' || heightPercentile === '–') { primaryResultText = "–"; } document.getElementById('primaryResult').textContent = primaryResultText; document.getElementById('weightPercentile').querySelector('span').textContent = weightPercentile === '–' ? '–' : weightPercentile + '%'; document.getElementById('heightPercentile').querySelector('span').textContent = heightPercentile === '–' ? '–' : heightPercentile + '%'; document.getElementById('bmiValue').querySelector('span').textContent = bmi.toFixed(2); document.getElementById('bmiPercentile').querySelector('span').textContent = bmiPercentile === '–' ? '–' : bmiPercentile + '%'; document.getElementById('assumptionAge').textContent = age; document.getElementById('assumptionSex').textContent = sex === 1 ? 'Boy' : 'Girl'; document.getElementById('assumptionWeight').textContent = weight.toFixed(2); document.getElementById('assumptionHeight').textContent = height.toFixed(2); // Update table document.getElementById('tableWeightValue').textContent = weight.toFixed(2) + ' kg'; document.getElementById('tableWeightPercentile').textContent = weightPercentile === '–' ? '–' : weightPercentile + '%'; document.getElementById('tableHeightValue').textContent = height.toFixed(2) + ' cm'; document.getElementById('tableHeightPercentile').textContent = heightPercentile === '–' ? '–' : heightPercentile + '%'; document.getElementById('tableBmiValue').textContent = bmi.toFixed(2); document.getElementById('tableBmiPercentile').textContent = bmiPercentile === '–' ? '–' : bmiPercentile + '%'; resultsDiv.style.display = 'block'; chartSection.style.display = 'block'; tableSection.style.display = 'block'; updateChart(age, sex, weightPercentile, heightPercentile); } function updateChart(currentAge, currentSex, currentWeightPercentile, currentHeightPercentile) { var canvas = document.getElementById('growthChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear previous chart var chartData = { labels: [], // Ages datasets: [{ label: 'Weight Percentile', data: [], borderColor: 'rgb(75, 192, 192)', backgroundColor: 'rgba(75, 192, 192, 0.2)', fill: false, tension: 0.1 }, { label: 'Height Percentile', data: [], borderColor: 'rgb(255, 99, 132)', backgroundColor: 'rgba(255, 99, 132, 0.2)', fill: false, tension: 0.1 }] }; // Populate chart data for a range of ages around the current age var startAge = Math.max(0, currentAge – 6); var endAge = Math.min(24, currentAge + 6); // Limit to 24 months for WHO data for (var age = startAge; age = startAge && currentAge <= endAge) { var index = chartData.labels.indexOf(currentAge + 'm'); if (index !== -1) { chartData.datasets[0].data[index] = currentWeightPercentile === '–' ? null : currentWeightPercentile; chartData.datasets[1].data[index] = currentHeightPercentile === '–' ? null : currentHeightPercentile; } } new Chart(ctx, { type: 'line', data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: false, max: 100, title: { display: true, text: 'Percentile (%)' } }, x: { title: { display: true, text: 'Age (Months)' } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y + '%'; } return label; } } }, legend: { position: 'top', } } } }); } // Initial calculation on load if default values are present // document.addEventListener('DOMContentLoaded', function() { // // Optional: Set default values and calculate on load // // document.getElementById('babyAge').value = 6; // // document.getElementById('babySex').value = 1; // Boy // // document.getElementById('babyWeight').value = 7.5; // // document.getElementById('babyHeight').value = 68; // // calculatePercentiles(); // }); function resetCalculator() { document.getElementById('babyAge').value = ''; document.getElementById('babySex').value = '1'; // Default to Boy document.getElementById('babyWeight').value = ''; document.getElementById('babyHeight').value = ''; document.getElementById('results').style.display = 'none'; document.getElementById('chartSection').style.display = 'none'; document.getElementById('tableSection').style.display = 'none'; // Clear errors document.getElementById('babyAgeError').style.display = 'none'; document.getElementById('babyWeightError').style.display = 'none'; document.getElementById('babyHeightError').style.display = 'none'; } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var weightP = document.getElementById('weightPercentile').querySelector('span').textContent; var heightP = document.getElementById('heightPercentile').querySelector('span').textContent; var bmiVal = document.getElementById('bmiValue').querySelector('span').textContent; var bmiP = document.getElementById('bmiPercentile').querySelector('span').textContent; var assumptionAge = document.getElementById('assumptionAge').textContent; var assumptionSex = document.getElementById('assumptionSex').textContent; var assumptionWeight = document.getElementById('assumptionWeight').textContent; var assumptionHeight = document.getElementById('assumptionHeight').textContent; var assumptions = "Key Assumptions:\n- Age: " + assumptionAge + " months\n- Sex: " + assumptionSex + "\n- Weight: " + assumptionWeight + " kg\n- Height: " + assumptionHeight + " cm"; var resultsText = "Baby Growth Percentiles:\n\n" + "Primary Result: " + primaryResult + "\n" + "Weight Percentile: " + weightP + "\n" + "Height Percentile: " + heightP + "\n" + "BMI: " + bmiVal + "\n" + "BMI Percentile: " + bmiP + "\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 alert(msg); } catch (err) { alert('Failed to copy results. Manual copy might be needed.'); } document.body.removeChild(textArea); } // Add Chart.js library dynamically if not present (for demonstration purposes) // In a real WordPress setup, you'd enqueue this script properly. 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'; script.onload = function() { console.log('Chart.js loaded.'); // If you want to auto-calculate on load after chart is ready: // calculatePercentiles(); }; document.head.appendChild(script); }

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