Baby Weight and Height Percentile Calculator

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Baby Weight and Height Percentile Calculator

Understand your baby's growth milestones by comparing their weight and height to averages for their age and sex.

Enter the baby's age in completed months.
Male Female Select the baby's sex for accurate comparison.
Enter the baby's current weight in kilograms.
Enter the baby's current length in centimeters.

Your Baby's Growth Snapshot

Weight Percentile –%
Height Percentile –%
Median Weight: — kg
Median Height: — cm
Weight Z-Score:
Height Z-Score:

Percentiles are calculated using the WHO (World Health Organization) growth standards for infants and young children. The calculator determines where your baby's measurements fall on a distribution curve compared to other babies of the same age and sex. A higher percentile means the baby is larger than a higher percentage of babies of the same age and sex. Z-scores are also calculated, representing the number of standard deviations a measurement is from the mean.

Growth Chart Comparison

Comparison of your baby's weight and height percentiles against the median for age and sex.

WHO Growth Standards (Example: Weight for Age – Males)

Illustrates the weight distribution for males at different ages according to WHO standards.

Growth Data Table (Example: Male Weight – First Year)

Age (Months) 3rd Percentile (kg) 15th Percentile (kg) 50th Percentile (Median) (kg) 85th Percentile (kg) 97th Percentile (kg)
Typical weight ranges for males in the first year according to WHO growth standards.

Baby Weight and Height Percentile Calculator Explained

What is a Baby Weight and Height Percentile Calculator?

A baby weight and height percentile calculator is a specialized tool designed to help parents, caregivers, and healthcare professionals assess a baby's physical growth relative to other infants of the same age and sex. It doesn't just tell you how much your baby weighs or how tall they are; it places these measurements on a spectrum, indicating what percentage of babies your child is larger or smaller than. For instance, if your baby is in the 75th percentile for weight, it means they weigh more than 75% of babies of the same age and sex, and less than 25%. This is crucial for understanding if a baby is growing appropriately and on a healthy trajectory. Many parents wonder, "Is my baby growing normally?" This calculator provides a data-driven answer, offering peace of mind or flagging potential areas for discussion with a pediatrician. It's important to remember that percentiles are just one part of the overall health picture; a healthy baby might consistently fall in a lower percentile but maintain a steady growth curve.

Who should use it? Parents and guardians concerned about their baby's development, pediatricians and healthcare providers monitoring infant growth, midwives and doulas offering guidance, and anyone seeking to understand standard infant growth patterns. Common misconceptions include believing that hitting a specific percentile is "best" or that a baby needs to be in the 50th percentile. In reality, a consistent growth pattern within any percentile range (typically between the 3rd and 97th percentiles) is generally considered healthy. Significant, rapid shifts in percentile can be more noteworthy than the percentile itself.

Baby Weight and Height Percentile Calculator Formula and Mathematical Explanation

The calculation of baby weight and height percentiles relies on established growth charts, most commonly those provided by the World Health Organization (WHO) for international standards. These charts are based on extensive data collected from healthy, breastfed infants and young children worldwide. The core of the calculation involves comparing the baby's specific measurement (weight or height) against a distribution of measurements for a reference population of the same age and sex.

While the exact mathematical models can be complex (often involving methods like the LMS method – Lambda, Mu, Sigma), the practical output is understood through percentiles and Z-scores.

  • Percentile: Represents the percentage of babies in the reference population whose measurements are equal to or less than the baby's measurement. For example, the 50th percentile is the median, meaning half the babies are smaller and half are larger.
  • Z-score: A more precise statistical measure. It indicates how many standard deviations a baby's measurement is away from the mean (average) measurement for their age and sex. A Z-score of 0 is the mean, +1 is one standard deviation above, and -1 is one standard deviation below. The WHO typically uses a scale where percentiles are derived from these Z-scores.

The calculator essentially looks up the baby's age and sex in the WHO (or similar) growth data tables/models. It then finds the closest corresponding weight and height values for various percentiles (e.g., 3rd, 15th, 50th, 85th, 97th) and interpolates or calculates the specific percentile rank for the baby's actual measured weight and height. The Z-score is calculated using the mean (Mu) and standard deviation (Sigma) values for that specific age and sex, derived from the LMS parameters.

Variables and Their Meanings:

Variable Meaning Unit Typical Range
Age The baby's age, typically in completed months or weeks. Months or Weeks 0-24 Months (or 0-104 Weeks)
Sex The baby's biological sex (Male or Female). Categorical Male / Female
Weight The baby's current measured weight. Kilograms (kg) or Grams (g) 0.5 kg – 20 kg (for the first 2 years)
Height (Length) The baby's current measured length (recumbent for infants). Centimeters (cm) 30 cm – 100 cm (for the first 2 years)
Percentile The baby's growth ranking compared to peers of the same age and sex. % 0 – 100% (typically considered within 3%-97% range)
Z-Score Number of standard deviations from the mean. Unitless -3 to +3 (or wider, depending on data)

Practical Examples (Real-World Use Cases)

Understanding how the baby weight and height percentile calculator works is best illustrated with examples:

Example 1: A Typically Growing Baby

  • Baby's Age: 8 Months
  • Baby's Sex: Female
  • Baby's Weight: 8.2 kg
  • Baby's Height: 70 cm

Calculator Output:

  • Weight Percentile: 60th %
  • Height Percentile: 55th %
  • Median Weight: Approx. 7.8 kg
  • Median Height: Approx. 68 cm

Interpretation: This baby is growing well and consistently. Both weight and height are above the median but within a healthy, common range. The percentiles are relatively close, indicating proportional growth. This is generally a sign of good health and adequate nutrition.

Example 2: A Baby Growing Rapidly in Height

  • Baby's Age: 12 Months
  • Baby's Sex: Male
  • Baby's Weight: 9.5 kg
  • Baby's Height: 80 cm

Calculator Output:

  • Weight Percentile: 30th %
  • Height Percentile: 70th %
  • Median Weight: Approx. 10.0 kg
  • Median Height: Approx. 75 cm

Interpretation: This baby is on the smaller side for weight compared to peers (30th percentile) but is quite tall for their age (70th percentile). This pattern might indicate a "lean" baby or simply a genetic predisposition for height. While the percentile difference is noticeable, if the baby is active, meeting developmental milestones, and has a good appetite, this might be perfectly normal. However, it's a point to discuss with a pediatrician to ensure adequate caloric intake and rule out any underlying issues, especially if the baby was previously in a higher weight percentile.

How to Use This Baby Weight and Height Percentile Calculator

  1. Gather Accurate Measurements: Ensure you have your baby's exact age in months, their current weight in kilograms (kg), and their length in centimeters (cm). For infants, length is usually measured lying down.
  2. Enter Baby's Details: Input the baby's age (in months) into the "Baby's Age" field.
  3. Select Baby's Sex: Choose "Male" or "Female" from the dropdown menu. This is crucial as growth standards differ between sexes.
  4. Input Measurements: Enter the baby's weight (kg) and height (cm) into the respective fields.
  5. Click Calculate: Press the "Calculate Percentiles" button.

How to Read Results:

  • Primary Results (Weight/Height Percentile): These numbers tell you how your baby ranks against other babies of the same age and sex. A 50th percentile means average. Percentiles between the 3rd and 97th are generally considered within the normal range.
  • Intermediate Values: The calculator also shows the median (50th percentile) weight and height for comparison, as well as Z-scores for a more statistical view.
  • Growth Chart: Visualize your baby's position on a typical growth curve.
  • Data Table: See the specific values for common percentiles to understand the range your baby falls into.

Decision-Making Guidance: While this calculator provides valuable data, it's not a substitute for professional medical advice. If your baby's percentiles are very low (below 3rd) or very high (above 97th), or if there's a sudden, significant jump or drop in percentiles over time, consult your pediatrician. They can assess your baby's overall health, feeding patterns, and development to provide personalized guidance.

Key Factors That Affect Baby Weight and Height Percentile Results

Several factors influence a baby's position on growth charts and their resulting percentiles. Understanding these helps interpret the data accurately:

  1. Genetics: Just like adults, babies inherit predispositions for height and build. Parents who are tall tend to have taller children, and those with a stockier build might have babies who trend towards higher weight percentiles, assuming adequate nutrition.
  2. Nutrition and Feeding Practices: Adequate caloric intake is paramount for growth. Breast milk or formula provides the necessary nutrients. The frequency and volume of feedings, introduction of solids (around 6 months), and the quality of foods offered significantly impact weight gain. Issues like poor latch, reflux, or allergies can affect intake and thus growth.
  3. Infant Health and Illness: Chronic illnesses, prematurity, gastrointestinal issues (like malabsorption), or even acute illnesses that reduce appetite can temporarily or persistently affect a baby's growth rate, causing their percentile to drop. Conversely, certain conditions might lead to faster growth.
  4. Birth Weight and Gestational Age: Premature babies start from a lower baseline and may follow a different growth trajectory initially, often assessed using specific preterm growth charts before transitioning to standard charts. Large-for-gestational-age babies might also start higher.
  5. Parental Care and Environment: While less direct, factors like parental responsiveness to feeding cues, a stimulating environment that encourages motor development (which burns calories), and overall parental health knowledge can play a role. Sleep patterns also influence growth hormones.
  6. Measurement Accuracy: Inconsistent or inaccurate measurements are a common source of percentile variations. Using calibrated scales and measuring boards correctly, and having measurements taken by the same trained person over time, increases reliability. Differences in technique (e.g., measuring length with the baby fully stretched vs. relaxed) can also cause minor discrepancies.

Frequently Asked Questions (FAQ)

Q1: What is the "ideal" percentile for my baby?

There isn't one single "ideal" percentile. A baby consistently tracking along a percentile curve (e.g., staying around the 25th or 75th percentile) is generally considered healthy. The most important factor is a steady, consistent growth pattern appropriate for the baby's individual potential.

Q2: My baby dropped a percentile. Should I be worried?

A single drop in percentile isn't always cause for alarm, especially if it's a small shift (e.g., from 60th to 50th). However, significant drops (e.g., crossing multiple major percentile lines) or consistent downward trends warrant a discussion with your pediatrician to investigate potential underlying causes like feeding issues or health problems.

Q3: How often should I measure my baby's weight and height?

Your pediatrician will typically measure your baby at regular check-ups (e.g., 2 weeks, 1 month, 2 months, 4 months, 6 months, etc.). For home use, using the calculator periodically (e.g., monthly) after accurate measurements are taken can help track trends between appointments.

Q4: Does this calculator use WHO or CDC growth charts?

This specific calculator uses the World Health Organization (WHO) growth standards, which are considered the international standard for infants and children up to age 5. The CDC (Centers for Disease Control and Prevention) charts are also widely used, particularly in the United States, and are very similar, especially for younger infants.

Q5: My baby was born premature. How does that affect percentiles?

For premature babies, growth is often assessed using corrected age and specific preterm growth charts initially. Once they reach their due date, standard charts (like the WHO) are typically used, often with continued monitoring for catch-up growth. This calculator assumes the baby's age is entered as chronological age; for precise preterm assessment, consult a healthcare provider.

Q6: Can I use pounds and inches instead of kg and cm?

This calculator is designed specifically for kilograms (kg) and centimeters (cm) as these are the standard units used by organizations like the WHO for their growth charts. You would need to convert your measurements before using the calculator.

Q7: What does a Z-score tell me that a percentile doesn't?

A Z-score provides a standardized, linear measure of deviation from the mean. It's particularly useful for statistical analysis and comparing growth across different scales. For example, a Z-score of +2 is consistently two standard deviations above the mean, regardless of the age. Percentiles can sometimes compress at the extremes, while Z-scores offer a more granular view of how far from average a measurement is.

Q8: Is head circumference important for growth assessment?

Yes, head circumference (occipital-frontal head circumference) is another critical measure used in infant growth assessment. It reflects brain growth. While this calculator focuses on weight and height, pediatricians plot weight, height, and head circumference on separate growth charts during check-ups to get a comprehensive view of the baby's development.

// WHO Growth Standards Data (simplified approximations for demonstration) // These are example values and may not precisely match official WHO charts. // For accurate clinical use, always refer to official WHO data. var whoGrowthData = { // Male Data: weight(kg), height(cm) male: [ // Age in months, W3, W15, W50, W85, W97, H3, H15, H50, H85, H97 { age: 0, w: [2.5, 3.0, 3.6, 4.3, 4.9], h: [47.0, 49.5, 51.7, 53.8, 55.7] }, // Birth { age: 1, w: [3.3, 3.9, 4.7, 5.5, 6.3], h: [52.5, 55.0, 57.2, 59.4, 61.4] }, { age: 2, w: [4.1, 4.8, 5.7, 6.6, 7.5], h: [56.0, 58.7, 61.0, 63.3, 65.4] }, { age: 3, w: [4.8, 5.6, 6.6, 7.6, 8.6], h: [59.0, 61.8, 64.2, 66.5, 68.7] }, { age: 4, w: [5.4, 6.2, 7.2, 8.3, 9.4], h: [61.5, 64.4, 66.9, 69.3, 71.5] }, { age: 5, w: [5.9, 6.8, 7.8, 9.0, 10.2], h: [63.5, 66.5, 69.1, 71.6, 73.9] }, { age: 6, w: [6.3, 7.3, 8.4, 9.6, 10.9], h: [65.2, 68.3, 70.9, 73.5, 75.9] }, { age: 7, w: [6.6, 7.7, 8.9, 10.1, 11.5], h: [66.7, 69.8, 72.5, 75.2, 77.7] }, { age: 8, w: [6.9, 8.0, 9.3, 10.6, 12.0], h: [68.0, 71.1, 73.9, 76.7, 79.2] }, { age: 9, w: [7.1, 8.2, 9.6, 10.9, 12.4], h: [69.2, 72.3, 75.1, 78.0, 80.6] }, { age: 10, w: [7.3, 8.4, 9.8, 11.2, 12.7], h: [70.3, 73.4, 76.2, 79.1, 81.8] }, { age: 11, w: [7.4, 8.6, 10.0, 11.4, 12.9], h: [71.3, 74.4, 77.2, 80.1, 82.8] }, { age: 12, w: [7.5, 8.7, 10.1, 11.5, 13.1], h: [72.1, 75.2, 78.0, 81.0, 83.7] } ], // Female Data: weight(kg), height(cm) female: [ // Age in months, W3, W15, W50, W85, W97, H3, H15, H50, H85, H97 { age: 0, w: [2.3, 2.8, 3.3, 4.0, 4.5], h: [46.0, 48.5, 50.6, 52.7, 54.5] }, // Birth { age: 1, w: [3.1, 3.6, 4.3, 5.1, 5.8], h: [51.0, 53.5, 55.6, 57.7, 59.7] }, { age: 2, w: [3.8, 4.4, 5.2, 6.1, 6.9], h: [54.2, 56.9, 59.1, 61.3, 63.3] }, { age: 3, w: [4.4, 5.1, 5.9, 6.9, 7.8], h: [56.8, 59.6, 62.0, 64.2, 66.3] }, { age: 4, w: [4.9, 5.7, 6.6, 7.6, 8.6], h: [58.8, 61.7, 64.1, 66.4, 68.6] }, { age: 5, w: [5.3, 6.2, 7.1, 8.2, 9.2], h: [60.5, 63.5, 66.0, 68.4, 70.6] }, { age: 6, w: [5.7, 6.5, 7.5, 8.7, 9.8], h: [61.9, 65.0, 67.5, 70.0, 72.3] }, { age: 7, w: [5.9, 6.8, 7.9, 9.1, 10.2], h: [63.2, 66.3, 68.9, 71.5, 73.8] }, { age: 8, w: [6.1, 7.0, 8.2, 9.5, 10.7], h: [64.3, 67.4, 70.1, 72.7, 75.1] }, { age: 9, w: [6.3, 7.2, 8.4, 9.7, 11.0], h: [65.3, 68.4, 71.1, 73.8, 76.2] }, { age: 10, w: [6.4, 7.4, 8.6, 9.9, 11.2], h: [66.2, 69.3, 72.0, 74.7, 77.1] }, { age: 11, w: [6.5, 7.5, 8.7, 10.1, 11.3], h: [67.0, 70.1, 72.8, 75.5, 77.9] }, { age: 12, w: [6.6, 7.6, 8.8, 10.2, 11.4], h: [67.7, 70.8, 73.5, 76.2, 78.6] } ] }; // Function to find the closest data point for interpolation function findGrowthData(age, sex) { var data = (sex === 0) ? whoGrowthData.male : whoGrowthData.female; var ageIndex = -1; for (var i = 0; i age) { ageIndex = i – 1; // Use the previous point if exact match not found break; } } if (ageIndex === -1 && data.length > 0) { ageIndex = data.length – 1; // Use last point if age is beyond data } if (ageIndex 0) ageIndex = 0; else return null; // No data available } // Simple linear interpolation if age is between points if (ageIndex < data.length – 1 && data[ageIndex].age !== age) { var age1 = data[ageIndex].age; var age2 = data[ageIndex + 1].age; var ratio = (age – age1) / (age2 – age1); var interpolatedW = []; var interpolatedH = []; for (var p = 0; p < 5; p++) { // 5 percentiles (3, 15, 50, 85, 97) interpolatedW.push(data[ageIndex].w[p] + ratio * (data[ageIndex + 1].w[p] – data[ageIndex].w[p])); interpolatedH.push(data[ageIndex].h[p] + ratio * (data[ageIndex + 1].h[p] – data[ageIndex].h[p])); } return { age: age, w: interpolatedW, h: interpolatedH }; } else if (ageIndex !== -1) { return data[ageIndex]; // Exact match or use last point } return null; // Should not happen if data exists } // Function to calculate percentile from a value and percentile data function calculatePercentile(value, valuesArray) { if (value === null || valuesArray === null || valuesArray.length !== 5) { return null; } var p3 = valuesArray[0]; var p15 = valuesArray[1]; var p50 = valuesArray[2]; var p85 = valuesArray[3]; var p97 = valuesArray[4]; if (value = p97) return 97; // Linear interpolation between percentiles if (value < p15) { return 3 + (value – p3) * (15 – 3) / (p15 – p3); } else if (value < p50) { return 15 + (value – p15) * (50 – 15) / (p50 – p15); } else if (value < p85) { return 50 + (value – p50) * (85 – 50) / (p85 – p50); } else { // value < p97 return 85 + (value – p85) * (97 – 85) / (p97 – p85); } } // Function to calculate Z-score (simplified – requires mean and SD which aren't directly in simplified data) // For this demo, we'll approximate based on median and spread. A real implementation uses LMS method. // This is a placeholder; accurate Z-scores require more complex data (mean, SD, skewness). function calculateZScore(value, median, percentile3, percentile97) { if (isNaN(value) || isNaN(median) || isNaN(percentile3) || isNaN(percentile97)) return null; // Approximate standard deviation from P3 and P97 // In a normal distribution, P3 is ~ -1.88 SD, P97 is ~ +1.88 SD // So, Range (P97-P3) is approx 3.76 SD var approxSD = (percentile97 – percentile3) / 3.76; if (approxSD <= 0) return null; // Avoid division by zero or negative SD var z = (value – median) / approxSD; return z; } function calculatePercentile() { var babyAge = parseFloat(document.getElementById("babyAge").value); var babySex = parseInt(document.getElementById("babySex").value); var babyWeight = parseFloat(document.getElementById("babyWeight").value); var babyHeight = parseFloat(document.getElementById("babyHeight").value); // Error handling var errors = false; if (isNaN(babyAge) || babyAge 24) { // Assuming data up to 24 months document.getElementById("babyAgeError").textContent = "Please enter a valid age between 1 and 24 months."; document.getElementById("babyAgeError").style.display = "block"; errors = true; } else { document.getElementById("babyAgeError").textContent = ""; document.getElementById("babyAgeError").style.display = "none"; } if (isNaN(babyWeight) || babyWeight 20) { // Max reasonable weight for 2 years document.getElementById("babyWeightError").textContent = "Please enter a valid weight between 0.1 and 20 kg."; document.getElementById("babyWeightError").style.display = "block"; errors = true; } else { document.getElementById("babyWeightError").textContent = ""; document.getElementById("babyWeightError").style.display = "none"; } if (isNaN(babyHeight) || babyHeight 100) { // Max reasonable height for 2 years document.getElementById("babyHeightError").textContent = "Please enter a valid height between 30 and 100 cm."; document.getElementById("babyHeightError").style.display = "block"; errors = true; } else { document.getElementById("babyHeightError").textContent = ""; document.getElementById("babyHeightError").style.display = "none"; } if (errors) { // Reset results if there are errors document.getElementById("mainWeightResult").textContent = "–%"; document.getElementById("mainHeightResult").textContent = "–%"; document.getElementById("weightMedian").textContent = "Median Weight: — kg"; document.getElementById("heightMedian").textContent = "Median Height: — cm"; document.getElementById("weightZScore").textContent = "Weight Z-Score: –"; document.getElementById("heightZScore").textContent = "Height Z-Score: –"; updateCharts(null, null, null, null, null, null); return; } var growthData = findGrowthData(babyAge, babySex); if (!growthData) { alert("Could not find growth data for the specified age and sex. Please check the inputs or consult growth charts."); return; } var weightPercentile = calculatePercentile(babyWeight, growthData.w); var heightPercentile = calculatePercentile(babyHeight, growthData.h); // Calculate Z-scores using approximated SD var weightZ = calculateZScore(babyWeight, growthData.w[2], growthData.w[0], growthData.w[4]); var heightZ = calculateZScore(babyHeight, growthData.h[2], growthData.h[0], growthData.h[4]); // Display results document.getElementById("mainWeightResult").textContent = Math.round(weightPercentile) + "%"; document.getElementById("mainHeightResult").textContent = Math.round(heightPercentile) + "%"; document.getElementById("weightMedian").innerHTML = "Median Weight: " + growthData.w[2].toFixed(2) + " kg"; document.getElementById("heightMedian").innerHTML = "Median Height: " + growthData.h[2].toFixed(2) + " cm"; document.getElementById("weightZScore").textContent = "Weight Z-Score: " + (weightZ !== null ? weightZ.toFixed(2) : "–"); document.getElementById("heightZScore").textContent = "Height Z-Score: " + (heightZ !== null ? heightZ.toFixed(2) : "–"); // Update charts updateCharts(babyAge, babySex, weightPercentile, heightPercentile, growthData.w, growthData.h); populateGrowthTable(babySex); // Update table based on sex } // — Charting — var growthChartCtx = document.getElementById('growthChart').getContext('2d'); var growthChartInstance = null; // To hold the chart instance var weightAgeChartCtx = document.getElementById('weightAgeChart').getContext('2d'); var weightAgeChartInstance = null; // To hold the chart instance function updateCharts(age, sex, weightP, heightP, medianWData, medianHData) { // Destroy previous chart instances if they exist if (growthChartInstance) { growthChartInstance.destroy(); } if (weightAgeChartInstance) { weightAgeChartInstance.destroy(); } // Chart 1: Baby's Percentiles vs Median var chart1Labels = ['Weight Percentile', 'Height Percentile']; var chart1Data = [weightP, heightP]; var chart1Colors = ['rgba(0, 74, 153, 0.7)', 'rgba(40, 167, 69, 0.7)']; var chart1BorderColors = ['rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)']; growthChartInstance = new Chart(growthChartCtx, { type: 'bar', data: { labels: chart1Labels, datasets: [{ label: 'Your Baby\'s Percentile', data: chart1Data, backgroundColor: chart1Colors, borderColor: chart1BorderColors, borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, max: 100, title: { display: true, text: 'Percentile (%)' } } }, plugins: { legend: { display: false // Labels are on the bars }, tooltip: { callbacks: { label: function(context) { return context.dataset.label + ': ' + context.parsed.y + '%'; } } } } } }); // Chart 2: WHO Weight for Age (Example – Male) var wDataMale = whoGrowthData.male; var wDataFemale = whoGrowthData.female; var chart2Data = (sex === 0) ? wDataMale : wDataFemale; // Use current sex for example chart var chart2Labels = chart2Data.map(function(d) { return d.age === 0 ? 'Birth' : d.age + 'mo'; }); var chart2Median = chart2Data.map(function(d) { return d.w[2]; }); // 50th percentile var chart2P3 = chart2Data.map(function(d) { return d.w[0]; }); // 3rd percentile var chart2P97 = chart2Data.map(function(d) { return d.w[4]; }); // 97th percentile weightAgeChartInstance = new Chart(weightAgeChartCtx, { type: 'line', data: { labels: chart2Labels, datasets: [ { label: '3rd Percentile (kg)', data: chart2P3, borderColor: 'rgba(255, 99, 132, 0.7)', backgroundColor: 'rgba(255, 99, 132, 0.1)', fill: false, tension: 0.1 }, { label: 'Median (50th) (kg)', data: chart2Median, borderColor: 'rgba(54, 162, 235, 0.7)', backgroundColor: 'rgba(54, 162, 235, 0.1)', fill: false, tension: 0.1 }, { label: '97th Percentile (kg)', data: chart2P97, borderColor: 'rgba(75, 192, 192, 0.7)', backgroundColor: 'rgba(75, 192, 192, 0.1)', fill: false, tension: 0.1 } ] }, options: { responsive: true, maintainAspectRatio: false, plugins: { title: { display: true, text: 'Weight-for-age (' + (sex === 0 ? 'Male' : 'Female') + ')' }, legend: { position: 'top', }, }, scales: { x: { title: { display: true, text: 'Age' } }, y: { title: { display: true, text: 'Weight (kg)' } } } } }); } // Function to populate the growth table function populateGrowthTable(sex) { var tableBody = document.getElementById('growthTableBody'); tableBody.innerHTML = "; // Clear existing rows var data = (sex === 0) ? whoGrowthData.male : whoGrowthData.female; var headerRow = tableBody.parentNode.parentNode.querySelector('thead tr'); var headerCells = headerRow.querySelectorAll('th'); // Update header labels if necessary (e.g., if units change, though not here) headerCells[0].textContent = "Age (Months)"; headerCells[1].textContent = "3rd Percentile (kg)"; headerCells[2].textContent = "15th Percentile (kg)"; headerCells[3].textContent = "50th Percentile (Median) (kg)"; headerCells[4].textContent = "85th Percentile (kg)"; headerCells[5].textContent = "97th Percentile (kg)"; data.forEach(function(item) { var row = tableBody.insertRow(); var cellAge = row.insertCell(); cellAge.textContent = item.age === 0 ? 'Birth' : item.age + ' mos'; var cellW3 = row.insertCell(); cellW3.textContent = item.w[0].toFixed(2); var cellW15 = row.insertCell(); cellW15.textContent = item.w[1].toFixed(2); var cellW50 = row.insertCell(); cellW50.textContent = item.w[2].toFixed(2); var cellW85 = row.insertCell(); cellW85.textContent = item.w[3].toFixed(2); var cellW97 = row.insertCell(); cellW97.textContent = item.w[4].toFixed(2); }); } // — Utility Functions — function resetCalculator() { document.getElementById("babyAge").value = "6"; document.getElementById("babySex").value = "0"; // Male document.getElementById("babyWeight").value = "7.5"; document.getElementById("babyHeight").value = "65"; // Clear errors document.getElementById("babyAgeError").textContent = ""; document.getElementById("babyAgeError").style.display = "none"; document.getElementById("babyWeightError").textContent = ""; document.getElementById("babyWeightError").style.display = "none"; document.getElementById("babyHeightError").textContent = ""; document.getElementById("babyHeightError").style.display = "none"; calculatePercentile(); // Recalculate with default values } function copyResults() { var weightResult = document.getElementById("mainWeightResult").textContent; var heightResult = document.getElementById("mainHeightResult").textContent; var weightMedian = document.getElementById("weightMedian").textContent; var heightMedian = document.getElementById("heightMedian").textContent; var weightZ = document.getElementById("weightZScore").textContent; var heightZ = document.getElementById("heightZScore").textContent; var resultsText = "Baby Growth Percentile Results:\n"; resultsText += "——————————–\n"; resultsText += "Weight Percentile: " + weightResult + "\n"; resultsText += "Height Percentile: " + heightResult + "\n"; resultsText += weightMedian.replace(/|/g, ") + "\n"; // Remove HTML tags resultsText += heightMedian.replace(/|/g, ") + "\n"; resultsText += weightZ.replace(/|/g, ") + "\n"; resultsText += heightZ.replace(/|/g, ") + "\n"; resultsText += "\nKey Assumptions:\n"; resultsText += "Age: " + document.getElementById("babyAge").value + " months\n"; resultsText += "Sex: " + document.getElementById("babySex").options[document.getElementById("babySex").selectedIndex].text + "\n"; // Use Clipboard API if available, fallback to prompt if (navigator.clipboard && window.isSecureContext) { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Async: Could not copy text: ', err); prompt("Copy this text:", resultsText); }); } else { // Fallback for older browsers or insecure contexts var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; textArea.style.top = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'successful' : 'unsuccessful'; alert('Results ' + msg + 'ly copied to clipboard!'); } catch (err) { console.error('Fallback: Oops, unable to copy', err); prompt("Copy this text manually:", resultsText); } document.body.removeChild(textArea); } } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { // Ensure chart library is loaded before drawing if (typeof Chart !== 'undefined') { calculatePercentile(); populateGrowthTable(parseInt(document.getElementById("babySex").value)); } else { // If Chart.js is not loaded yet, try again after a short delay setTimeout(function() { if (typeof Chart !== 'undefined') { calculatePercentile(); populateGrowthTable(parseInt(document.getElementById("babySex").value)); } else { alert("Chart.js library failed to load. Charts may not display correctly."); } }, 1000); // Adjust delay as needed } }); // Add Chart.js library – crucial for charts to work var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.0.0/dist/chart.min.js'; script.onload = function() { // Re-run initialization after chart library is loaded if (typeof Chart !== 'undefined') { calculatePercentile(); populateGrowthTable(parseInt(document.getElementById("babySex").value)); } }; document.head.appendChild(script);

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