Infant Height and Weight Calculator: Growth Charts & Percentiles
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Your Infant's Growth Summary
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This calculator uses World Health Organization (WHO) growth standards to determine percentiles for weight, height, and BMI based on age and sex. Percentiles indicate how an infant's measurement compares to others of the same age and sex. A 50th percentile means the infant's measurement is exactly in the middle.
WHO Growth Standards (Example Data for 12 Months Male)
| Measurement |
3rd Percentile |
15th Percentile |
50th Percentile |
85th Percentile |
97th Percentile |
| Weight (kg) |
7.6 |
8.5 |
9.6 |
10.8 |
11.8 |
| Height (cm) |
71.0 |
73.6 |
76.2 |
78.9 |
81.1 |
| BMI (kg/m²) |
14.7 |
15.8 |
17.2 |
18.7 |
20.3 |
Infant Height and Weight Calculator: Understanding Your Baby's Growth Milestones
Monitoring your infant's growth is a crucial part of ensuring they are developing healthily. While every baby grows at their own pace, healthcare professionals use standardized growth charts to track progress against established norms. An infant height and weight calculator, often based on World Health Organization (WHO) standards, is a valuable tool for parents and caregivers to understand these milestones, calculate percentiles, and identify any potential growth concerns early on.
What is an Infant Height and Weight Calculator?
An infant height and weight calculator is an online tool designed to help parents, guardians, and healthcare providers assess an infant's physical growth. It typically takes the infant's age, sex, weight, and height as inputs and compares these measurements against a reference population using established growth charts (like the WHO standards). The primary output is usually the percentile rank for weight and height, providing insight into how the infant measures up relative to other babies of the same age and sex.
Who Should Use It?
This calculator is primarily intended for:
- Parents and Guardians: To gain a better understanding of their baby's growth trajectory between well-child visits and to alleviate any anxieties about growth.
- Pediatricians and Healthcare Providers: As a quick reference tool to supplement their clinical assessments and discussions with parents.
- Childcare Providers: To assist in monitoring the general well-being and growth of infants under their care.
Common Misconceptions
Several common misconceptions surround infant growth calculations:
- Percentiles are definitive: A single percentile reading isn't a diagnosis. Growth patterns over time are more important than isolated numbers.
- "Average" is always best: While the 50th percentile is the median, infants growing consistently along any percentile curve (e.g., 10th or 90th) can be perfectly healthy. Significant, unexplained shifts between percentiles might warrant attention.
- Calculators replace medical advice: This tool is for informational purposes and should never substitute professional medical advice from a pediatrician.
The core of an infant height and weight calculator relies on comparing the infant's measurements to established growth standards, most commonly the WHO growth charts. These charts are developed from extensive studies of healthy, well-nourished infants from various countries. The "formula" isn't a simple equation but rather an interpolation and comparison process against these reference data points.
The calculator essentially performs these steps:
- Input Validation: It first checks if the entered age, weight, height, and sex are within realistic and logical ranges.
- Data Lookup: For the infant's specific age and sex, the calculator accesses the WHO growth standards database. This database contains reference values for weight, height, and head circumference at different percentiles (e.g., 3rd, 15th, 50th, 85th, 97th).
- Interpolation: If the infant's age doesn't perfectly align with the discrete data points in the standard, the calculator uses interpolation techniques to estimate the corresponding reference values for that exact age.
- Percentile Calculation: The infant's measured weight and height are then compared to the interpolated reference values for their age and sex. The percentile is determined by finding where the infant's measurement falls within the distribution of measurements for that age group. For example, if an infant's weight falls at the 85th percentile, it means that 85% of infants of the same age and sex weigh less than or equal to that infant.
- BMI Calculation: Body Mass Index (BMI) is calculated using the standard formula: BMI = weight (kg) / [height (m)]². The result is then converted to a BMI-for-age percentile using the WHO standards.
Variables Used:
Variables for Growth Calculation
| Variable |
Meaning |
Unit |
Typical Range (Infant) |
| Age |
Infant's age since birth |
Months (or months.weeks) |
0 – 24 months |
| Weight |
Infant's current body mass |
Kilograms (kg) |
0.5 – 15 kg |
| Height (Length) |
Infant's recumbent length |
Centimeters (cm) |
45 – 90 cm |
| Sex |
Infant's biological sex |
Male / Female |
N/A |
| BMI |
Body Mass Index |
kg/m² |
Calculated value, then compared to percentile |
Practical Examples (Real-World Use Cases)
Understanding how the infant height and weight calculator works is best illustrated with examples:
Example 1: A Six-Month-Old Baby Girl
- Inputs:
- Age: 6 months
- Weight: 7.2 kg
- Height: 65 cm
- Sex: Female
- Calculator Outputs:
- Weight Percentile: 30th Percentile
- Height Percentile: 25th Percentile
- BMI: 16.9 kg/m²
- BMI Percentile: 45th Percentile
- Interpretation: This baby girl is growing well. Her weight and height are slightly below the 50th percentile (median), but her growth appears consistent and healthy, falling within the expected range. Her BMI is also close to the median, indicating a balanced weight for her height.
Example 2: A Nine-Month-Old Baby Boy
- Inputs:
- Age: 9 months
- Weight: 9.5 kg
- Height: 72 cm
- Sex: Male
- Calculator Outputs:
- Weight Percentile: 55th Percentile
- Height Percentile: 60th Percentile
- BMI: 18.1 kg/m²
- BMI Percentile: 50th Percentile
- Interpretation: This baby boy is tracking right around the average (50th percentile) for his age in terms of both height and BMI. His weight is also slightly above the median. This suggests strong, consistent growth aligned with typical development for his age and sex.
How to Use This Infant Height and Weight Calculator
Using our infant height and weight calculator is straightforward. Follow these steps:
- Gather Information: Ensure you have your infant's accurate age (in months, including weeks if possible, e.g., 6.5 months for 6 months and 2 weeks), current weight (in kilograms), and length (in centimeters). Also, know your infant's sex.
- Enter Details: Input the gathered information into the respective fields: "Infant's Age (Months)", "Weight (kg)", "Height (cm)", and select the correct "Sex".
- Calculate: Click the "Calculate Growth" button.
- Review Results: The calculator will display:
- Primary Result: A general indicator, often related to BMI percentile or a combined growth score.
- Weight Percentile: Shows how the infant's weight compares to others of the same age and sex.
- Height Percentile: Shows how the infant's height compares to others of the same age and sex.
- BMI Value & Percentile: The calculated BMI and its corresponding percentile.
- Growth Chart: A visual representation of the infant's position on the growth curve.
- Data Table: Reference WHO growth standard values for context.
- Interpret: Understand that percentiles indicate rank, not necessarily health. Consistent growth along a curve is key. Consult the chart and table for context.
- Use Guidance: If results cause concern, or if you notice significant deviations from the baby's previous growth pattern, discuss them with your pediatrician. This tool is for reference and proactive monitoring.
The "Reset" button clears all fields, and "Copy Results" allows you to save the calculated data.
Key Factors That Affect Infant Growth Results
While an infant height and weight calculator provides a snapshot, numerous factors influence an infant's growth trajectory. Understanding these helps contextualize the results:
- Genetics: Just like adults, babies inherit growth potential from their parents. Taller parents often have taller children, and this inherent genetic blueprint plays a significant role.
- Nutrition: This is paramount. Adequate intake of breast milk or formula is essential. Calorie and nutrient density directly impact weight gain, while sufficient protein and other nutrients support linear growth (height). Issues with feeding, absorption, or metabolism can affect these.
- Prenatal Health: A baby's growth starts in the womb. Maternal health, nutrition during pregnancy, and any complications can influence birth weight and initial growth patterns.
- Health Conditions: Underlying medical issues, such as chronic illnesses, hormonal imbalances (e.g., thyroid issues), gastrointestinal problems affecting nutrient absorption (like celiac disease or food allergies), or congenital conditions, can significantly impact growth rates.
- Prematurity: Infants born prematurely often have different growth trajectories initially. While they may catch up, corrected age is often used for comparison, especially in the early months.
- Sleep and Activity Levels: While less direct than nutrition, adequate sleep is crucial for growth hormone release. Physical activity, even in infancy, contributes to muscle development and overall health, indirectly supporting growth.
- Environmental Factors: Exposure to illness, stress, or suboptimal living conditions can potentially affect an infant's overall health and, consequently, their growth.
Frequently Asked Questions (FAQ)
What are WHO growth standards?
The World Health Organization (WHO) growth standards are a set of international references based on studies of healthy, breastfed infants in optimal environmental conditions. They are used globally to assess the growth of infants and young children up to age five.
How often should I measure my infant's height and weight?
Your pediatrician will typically measure your baby at well-child visits, usually around 2, 4, 6, 9, 12, 15, 18, and 24 months. For home monitoring, measuring monthly or bi-monthly can provide a good overview between visits, but ensure consistency in measurement technique.
My baby is consistently at the 10th percentile for weight and height. Is this a problem?
Not necessarily. If your baby has consistently followed the 10th percentile curve since birth and is otherwise healthy, active, and meeting developmental milestones, it may simply reflect their genetic potential. The key is consistency. A sudden drop or jump in percentiles is more likely to be a concern for a pediatrician.
What is the difference between weight and height percentiles?
The weight percentile indicates how the infant's weight compares to other infants of the same age and sex. The height percentile does the same for their length. Comparing these two can give a general idea of the infant's body proportion.
How do I accurately measure my infant's length?
For infants under two years old, length is measured lying down (recumbent). Place the baby on a flat surface, ensure their head is against a fixed point (like a wall or the end of a measuring board), and gently extend their legs until the feet are flat. Have someone else mark the measurement at the heels or use a specialized infantometer for accuracy.
Can this calculator be used for premature babies?
For premature babies, it's generally recommended to use corrected age (age from the original due date) for the first 1-2 years, especially during the early months. Our calculator uses chronological age. Always consult your pediatrician for the most accurate assessment of premature infant growth.
What is BMI percentile for infants?
Infant BMI percentile compares the baby's BMI to other babies of the same age and sex. Unlike adults, BMI ranges for infants are interpreted differently due to rapid changes in body composition during growth. A 50th percentile BMI means the baby's BMI is average for their age and sex. Percentiles above the 95th are often considered obese, and below the 5th might be considered underweight, but these require clinical evaluation.
My baby seems too small/large according to the calculator. What should I do?
The first step is to re-measure carefully to ensure accuracy. If concerns persist, schedule an appointment with your pediatrician. They can perform a thorough assessment, consider the baby's overall health and development, review their growth history, and provide expert guidance. Never rely solely on calculator results for health decisions.
// WHO Growth Standard Data (simplified for demonstration)
// This structure represents average data points. A real implementation would use more granular data and interpolation functions.
// Data structure: ageInMonths: { male: { weight: [p3, p15, p50, p85, p97], height: [p3, p15, p50, p85, p97], bmi: [p3, p15, p50, p85, p97] }, female: { … } }
// For simplicity, we'll use a few key points and interpolate linearly within ranges.
var whoGrowthData = {
0: { // Newborn
male: { weight: [2.5, 2.9, 3.5, 4.1, 4.7], height: [48, 50, 52, 54, 56], bmi: [11.5, 12.5, 13.5, 14.5, 15.5] },
female: { weight: [2.4, 2.8, 3.3, 3.9, 4.5], height: [47, 49, 51, 53, 55], bmi: [11.4, 12.4, 13.4, 14.4, 15.4] }
},
3: {
male: { weight: [5.0, 5.8, 6.8, 8.0, 9.2], height: [60, 63, 65, 67, 69], bmi: [14.0, 15.5, 17.0, 18.5, 20.0] },
female: { weight: [4.7, 5.5, 6.5, 7.6, 8.8], height: [58, 61, 64, 66, 68], bmi: [13.8, 15.3, 16.8, 18.3, 19.8] }
},
6: {
male: { weight: [6.5, 7.4, 8.6, 9.8, 11.0], height: [67, 70, 73, 75, 77], bmi: [15.5, 17.0, 18.5, 20.0, 21.5] },
female: { weight: [6.2, 7.1, 8.2, 9.4, 10.6], height: [65, 68, 71, 74, 76], bmi: [15.3, 16.8, 18.3, 19.8, 21.3] }
},
9: {
male: { weight: [7.8, 8.8, 10.0, 11.3, 12.6], height: [72, 75, 78, 80, 83], bmi: [16.5, 18.0, 19.5, 21.0, 22.5] },
female: { weight: [7.4, 8.4, 9.6, 10.8, 12.1], height: [70, 73, 76, 78, 81], bmi: [16.3, 17.8, 19.3, 20.8, 22.3] }
},
12: {
male: { weight: [8.5, 9.6, 10.8, 12.1, 13.5], height: [76, 79, 81, 84, 87], bmi: [17.0, 18.5, 20.0, 21.5, 23.0] },
female: { weight: [8.1, 9.2, 10.4, 11.6, 12.9], height: [74, 77, 79, 82, 85], bmi: [16.8, 18.3, 19.8, 21.3, 22.8] }
},
18: {
male: { weight: [9.8, 11.0, 12.2, 13.5, 15.0], height: [82, 85, 87, 90, 93], bmi: [17.5, 19.0, 20.5, 22.0, 23.5] },
female: { weight: [9.3, 10.5, 11.7, 12.9, 14.3], height: [80, 83, 85, 88, 91], bmi: [17.3, 18.8, 20.3, 21.8, 23.3] }
},
24: { // 2 years
male: { weight: [11.0, 12.3, 13.5, 15.0, 16.5], height: [86, 89, 91, 94, 97], bmi: [18.0, 19.5, 21.0, 22.5, 24.0] },
female: { weight: [10.5, 11.8, 13.0, 14.3, 15.7], height: [84, 87, 89, 92, 95], bmi: [17.8, 19.3, 20.8, 22.3, 23.8] }
}
};
var chartInstance = null;
function getGrowthValue(age, sex, measurementType, percentile) {
var sexKey = sex === 'male' ? 'male' : 'female';
var dataPoints = whoGrowthData[age];
if (!dataPoints) {
// Find nearest data point if age is not exact
var ages = Object.keys(whoGrowthData).map(Number).sort(function(a, b) { return a – b; });
var lowerAge = ages.filter(function(a) { return a = age; })[0] || ages[ages.length – 1];
if (lowerAge === upperAge) {
dataPoints = whoGrowthData[lowerAge][sexKey];
} else {
var lowerData = whoGrowthData[lowerAge][sexKey];
var upperData = whoGrowthData[upperAge][sexKey];
var ageRatio = (age – lowerAge) / (upperAge – lowerAge);
var interpolatedValues = {};
['weight', 'height', 'bmi'].forEach(function(type) {
interpolatedValues[type] = [];
for (var i = 0; i < 5; i++) {
var lowerVal = lowerData[type][i];
var upperVal = upperData[type][i];
interpolatedValues[type][i] = lowerVal + ageRatio * (upperVal – lowerVal);
}
});
dataPoints = interpolatedValues;
}
} else {
dataPoints = dataPoints[sexKey];
}
if (!dataPoints) return null;
var percentileIndex;
if (percentile <= 3) percentileIndex = 0;
else if (percentile <= 15) percentileIndex = 1;
else if (percentile <= 50) percentileIndex = 2;
else if (percentile <= 85) percentileIndex = 3;
else percentileIndex = 4;
return dataPoints[measurementType][percentileIndex];
}
function calculateBMI(weightKg, heightCm) {
if (weightKg === null || heightCm === null || heightCm <= 0) return null;
var heightM = heightCm / 100;
return weightKg / (heightM * heightM);
}
function findPercentile(value, sex, age, measurementType) {
var sexKey = sex === 'male' ? 'male' : 'female';
var dataPoints = whoGrowthData[age];
if (!dataPoints) {
var ages = Object.keys(whoGrowthData).map(Number).sort(function(a, b) { return a – b; });
var lowerAge = ages.filter(function(a) { return a = age; })[0] || ages[ages.length – 1];
if (lowerAge === upperAge) {
dataPoints = whoGrowthData[lowerAge][sexKey];
} else {
var lowerData = whoGrowthData[lowerAge][sexKey];
var upperData = whoGrowthData[upperAge][sexKey];
var ageRatio = (age – lowerAge) / (upperAge – lowerAge);
var interpolatedValues = {};
['weight', 'height', 'bmi'].forEach(function(type) {
interpolatedValues[type] = [];
for (var i = 0; i < 5; i++) {
var lowerVal = lowerData[type][i];
var upperVal = upperData[type][i];
interpolatedValues[type][i] = lowerVal + ageRatio * (upperVal – lowerVal);
}
});
dataPoints = interpolatedValues;
}
} else {
dataPoints = dataPoints[sexKey];
}
if (!dataPoints) return null;
var values = dataPoints[measurementType];
if (!values) return null;
var percentile = 50; // Default to 50th
var diff = Math.abs(value – values[2]); // Difference from 50th percentile
// Find which percentile the value is closest to
var closestPercentileIndex = 2; // Start with 50th
for (var i = 0; i < values.length; i++) {
if (Math.abs(value – values[i]) 0 && closestPercentileIndex = lowerValue && value <= upperValue) {
percentile = lowerPercentile + ((value – lowerValue) / (upperValue – lowerValue)) * (upperPercentile – lowerPercentile);
} else if (value 0) {
percentile = percentileMap[closestPercentileIndex – 1] + ((value – values[closestPercentileIndex – 1]) / (lowerValue – values[closestPercentileIndex – 1])) * (lowerPercentile – percentileMap[closestPercentileIndex – 1]);
}
}
return Math.round(percentile);
}
function clearErrorMessages() {
document.getElementById('infantAgeError').style.display = 'none';
document.getElementById('infantWeightError').style.display = 'none';
document.getElementById('infantHeightError').style.display = 'none';
}
function validateInputs() {
var age = parseFloat(document.getElementById('infantAge').value);
var weight = parseFloat(document.getElementById('infantWeight').value);
var height = parseFloat(document.getElementById('infantHeight').value);
var sex = document.getElementById('infantSex').value;
var isValid = true;
clearErrorMessages();
if (isNaN(age) || age 24) {
document.getElementById('infantAgeError').textContent = 'Age should typically be within 0-24 months for these charts.';
document.getElementById('infantAgeError').style.display = 'block';
isValid = false;
}
if (isNaN(weight) || weight 16) { // Realistic upper bound for 24 months
document.getElementById('infantWeightError').textContent = 'Weight seems unusually high for an infant.';
document.getElementById('infantWeightError').style.display = 'block';
isValid = false;
}
if (isNaN(height) || height <= 0) {
document.getElementById('infantHeightError').textContent = 'Please enter a valid height in centimeters.';
document.getElementById('infantHeightError').style.display = 'block';
isValid = false;
} else if (height 95) { // Realistic upper bound for 24 months
document.getElementById('infantHeightError').textContent = 'Height seems unusually high for an infant.';
document.getElementById('infantHeightError').style.display = 'block';
isValid = false;
}
return isValid;
}
function calculateGrowth() {
if (!validateInputs()) {
document.getElementById('resultsContainer').style.display = 'none';
return;
}
var age = parseFloat(document.getElementById('infantAge').value);
var weight = parseFloat(document.getElementById('infantWeight').value);
var height = parseFloat(document.getElementById('infantHeight').value);
var sex = document.getElementById('infantSex').value;
// Use a simplified age mapping for the data structure
var simplifiedAge = age < 1 ? 0 : (age < 6 ? 3 : (age < 12 ? 6 : (age < 18 ? 9 : (age = 24) simplifiedAge = 24;
var weightPercentile = findPercentile(weight, sex, simplifiedAge, 'weight');
var heightPercentile = findPercentile(height, sex, simplifiedAge, 'height');
var bmiValue = calculateBMI(weight, height);
var bmiPercentile = null;
if (bmiValue !== null) {
bmiPercentile = findPercentile(bmiValue, sex, simplifiedAge, 'bmi');
}
var resultsContainer = document.getElementById('resultsContainer');
var primaryResultElement = document.getElementById('primaryResult');
var weightPercentileElement = document.getElementById('weightPercentile').querySelector('span');
var heightPercentileElement = document.getElementById('heightPercentile').querySelector('span');
var bmiValueElement = document.getElementById('bmiValue').querySelector('span');
var bmiPercentileElement = document.getElementById('bmiPercentile').querySelector('span');
primaryResultElement.textContent = bmiPercentile !== null ? bmiPercentile + 'th Percentile (BMI)' : '–';
weightPercentileElement.textContent = weightPercentile !== null ? weightPercentile + 'th Percentile' : '–';
heightPercentileElement.textContent = heightPercentile !== null ? heightPercentile + 'th Percentile' : '–';
bmiValueElement.textContent = bmiValue !== null ? bmiValue.toFixed(2) + ' kg/m²' : '–';
bmiPercentileElement.textContent = bmiPercentile !== null ? bmiPercentile + 'th Percentile' : '–';
resultsContainer.style.display = 'block';
updateChart(age, sex, weight, height, weightPercentile, heightPercentile, bmiPercentile);
updateTable(simplifiedAge, sex);
}
function updateTable(age, sex) {
var sexKey = sex === 'male' ? 'male' : 'female';
var dataPoints = whoGrowthData[age];
if (!dataPoints) {
// Fallback for age not in direct keys, use nearest or interpolated
var ages = Object.keys(whoGrowthData).map(Number).sort(function(a, b) { return a – b; });
var lowerAge = ages.filter(function(a) { return a = age; })[0] || ages[ages.length – 1];
if (lowerAge === upperAge) {
dataPoints = whoGrowthData[lowerAge][sexKey];
} else {
// Placeholder: In a real scenario, you'd interpolate table values too.
// For this demo, we'll use the closest exact age in the table.
dataPoints = whoGrowthData[lowerAge][sexKey]; // Use lower age data for the demo table
}
} else {
dataPoints = dataPoints[sexKey];
}
if (!dataPoints) return;
var tableBody = document.getElementById('growthTableBody');
var rows = tableBody.getElementsByTagName('tr');
if (rows.length >= 3) {
// Update Weight row
rows[0].cells[1].textContent = dataPoints.weight[0].toFixed(1); // 3rd
rows[0].cells[2].textContent = dataPoints.weight[1].toFixed(1); // 15th
rows[0].cells[3].textContent = dataPoints.weight[2].toFixed(1); // 50th
rows[0].cells[4].textContent = dataPoints.weight[3].toFixed(1); // 85th
rows[0].cells[5].textContent = dataPoints.weight[4].toFixed(1); // 97th
// Update Height row
rows[1].cells[1].textContent = dataPoints.height[0].toFixed(1); // 3rd
rows[1].cells[2].textContent = dataPoints.height[1].toFixed(1); // 15th
rows[1].cells[3].textContent = dataPoints.height[2].toFixed(1); // 50th
rows[1].cells[4].textContent = dataPoints.height[3].toFixed(1); // 85th
rows[1].cells[5].textContent = dataPoints.height[4].toFixed(1); // 97th
// Update BMI row
rows[2].cells[1].textContent = dataPoints.bmi[0].toFixed(1); // 3rd
rows[2].cells[2].textContent = dataPoints.bmi[1].toFixed(1); // 15th
rows[2].cells[3].textContent = dataPoints.bmi[2].toFixed(1); // 50th
rows[2].cells[4].textContent = dataPoints.bmi[3].toFixed(1); // 85th
rows[2].cells[5].textContent = dataPoints.bmi[4].toFixed(1); // 97th
}
document.querySelector('.chart-caption').textContent = "Growth Standards Comparison for " + age + " Months " + sex.charAt(0).toUpperCase() + sex.slice(1);
}
function updateChart(age, sex, weight, height, weightPercentile, heightPercentile, bmiPercentile) {
var ctx = document.getElementById('growthChart').getContext('2d');
// Destroy previous chart instance if it exists
if (chartInstance) {
chartInstance.destroy();
}
// Sample data for the chart – represents growth curve
// In a real application, this would dynamically generate curve points based on WHO data
var labels = [];
var maleWeightData = [];
var femaleWeightData = [];
var maleHeightData = [];
var femaleHeightData = [];
var maleBmiData = [];
var femaleBmiData = [];
// Generate data points for a smoother curve (e.g., 0 to 24 months)
for (var m = 0; m <= 24; m++) {
labels.push(m + 'm');
var simplifiedM = m < 1 ? 0 : (m < 6 ? 3 : (m < 12 ? 6 : (m < 18 ? 9 : (m = 24) simplifiedM = 24;
var maleValues = whoGrowthData[simplifiedM]?.male;
var femaleValues = whoGrowthData[simplifiedM]?.female;
if(maleValues) {
maleWeightData.push(maleValues.weight[2]); // 50th percentile weight
maleHeightData.push(maleValues.height[2]); // 50th percentile height
maleBmiData.push(maleValues.bmi[2]); // 50th percentile BMI
} else { // Fallback if data point missing
maleWeightData.push(null);
maleHeightData.push(null);
maleBmiData.push(null);
}
if(femaleValues) {
femaleWeightData.push(femaleValues.weight[2]); // 50th percentile weight
femaleHeightData.push(femaleValues.height[2]); // 50th percentile height
femaleBmiData.push(femaleValues.bmi[2]); // 50th percentile BMI
} else {
femaleWeightData.push(null);
femaleHeightData.push(null);
femaleBmiData.push(null);
}
}
// Filter out nulls for cleaner chart rendering if needed
maleWeightData = maleWeightData.map((val, i) => val !== null ? {x: labels[i], y: val} : null).filter(item => item !== null);
femaleWeightData = femaleWeightData.map((val, i) => val !== null ? {x: labels[i], y: val} : null).filter(item => item !== null);
maleHeightData = maleHeightData.map((val, i) => val !== null ? {x: labels[i], y: val} : null).filter(item => item !== null);
femaleHeightData = femaleHeightData.map((val, i) => val !== null ? {x: labels[i], y: val} : null).filter(item => item !== null);
maleBmiData = maleBmiData.map((val, i) => val !== null ? {x: labels[i], y: val} : null).filter(item => item !== null);
femaleBmiData = femaleBmiData.map((val, i) => val !== null ? {x: labels[i], y: val} : null).filter(item => item !== null);
// Prepare data for the current infant
var infantDataSeries = [];
var primaryMeasurement = ";
var primaryValue = null;
if (sex === 'male') {
infantDataSeries.push({ label: 'Male Weight (50th %)', data: maleWeightData, borderColor: 'rgba(0, 74, 153, 0.7)', fill: false, tension: 0.1 });
infantDataSeries.push({ label: 'Male Height (50th %)', data: maleHeightData, borderColor: 'rgba(40, 167, 69, 0.7)', fill: false, tension: 0.1 });
infantDataSeries.push({ label: 'Male BMI (50th %)', data: maleBmiData, borderColor: 'rgba(255, 193, 7, 0.7)', fill: false, tension: 0.1 });
} else {
infantDataSeries.push({ label: 'Female Weight (50th %)', data: femaleWeightData, borderColor: 'rgba(0, 74, 153, 0.7)', fill: false, tension: 0.1 });
infantDataSeries.push({ label: 'Female Height (50th %)', data: femaleHeightData, borderColor: 'rgba(40, 167, 69, 0.7)', fill: false, tension: 0.1 });
infantDataSeries.push({ label: 'Female BMI (50th %)', data: femaleBmiData, borderColor: 'rgba(255, 193, 7, 0.7)', fill: false, tension: 0.1 });
}
// Add the specific infant's percentile point
var infantDataPoint = null;
var infantLabel = age + 'm';
if (sex === 'male') {
if (weightPercentile !== null) infantDataPoint = {x: infantLabel, y: weight}; primaryMeasurement = 'Weight'; primaryValue = weight;
else if (heightPercentile !== null) infantDataPoint = {x: infantLabel, y: height}; primaryMeasurement = 'Height'; primaryValue = height;
else if (bmiPercentile !== null) infantDataPoint = {x: infantLabel, y: calculateBMI(weight, height)}; primaryMeasurement = 'BMI'; primaryValue = calculateBMI(weight, height);
} else { // female
if (weightPercentile !== null) infantDataPoint = {x: infantLabel, y: weight}; primaryMeasurement = 'Weight'; primaryValue = weight;
else if (heightPercentile !== null) infantDataPoint = {x: infantLabel, y: height}; primaryMeasurement = 'Height'; primaryValue = height;
else if (bmiPercentile !== null) infantDataPoint = {x: infantLabel, y: calculateBMI(weight, height)}; primaryMeasurement = 'BMI'; primaryValue = calculateBMI(weight, height);
}
if (infantDataPoint) {
infantDataSeries.push({
label: 'Your Infant (' + primaryMeasurement + ' ' + (primaryValue ? primaryValue.toFixed(1) : '–') + ')',
data: [infantDataPoint],
borderColor: 'rgba(220, 53, 69, 1)', // Red for emphasis
backgroundColor: 'rgba(220, 53, 69, 1)',
pointRadius: 7,
pointHoverRadius: 9,
showLine: false // Don't connect this single point to anything
});
}
chartInstance = new Chart(ctx, {
type: 'line',
data: {
labels: labels,
datasets: infantDataSeries
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
title: {
display: true,
text: 'Age (Months)'
}
},
y: {
title: {
display: true,
text: 'Measurement Value (kg or cm or kg/m²)'
},
beginAtZero: false // Adjust scale start based on data
}
},
plugins: {
title: {
display: true,
text: 'Infant Growth Curve Comparison (50th Percentile vs. Your Infant)'
},
tooltip: {
callbacks: {
label: function(context) {
var label = context.dataset.label || ";
if (label) {
label += ': ';
}
if (context.parsed.y !== null) {
label += context.parsed.y.toFixed(1);
}
return label;
}
}
}
}
}
});
}
function resetForm() {
document.getElementById('infantAge').value = ";
document.getElementById('infantWeight').value = ";
document.getElementById('infantHeight').value = ";
document.getElementById('infantSex').value = 'male';
document.getElementById('resultsContainer').style.display = 'none';
clearErrorMessages();
// Reset chart if it exists (optional, might want to keep context)
if (chartInstance) {
chartInstance.destroy();
chartInstance = null;
// Clear canvas
var canvas = document.getElementById('growthChart');
var ctx = canvas.getContext('2d');
ctx.clearRect(0, 0, canvas.width, canvas.height);
}
document.querySelector('.chart-caption').textContent = "";
}
function copyResults() {
var primaryResult = document.getElementById('primaryResult').textContent;
var weightPercentile = document.getElementById('weightPercentile').textContent;
var heightPercentile = document.getElementById('heightPercentile').textContent;
var bmiValue = document.getElementById('bmiValue').textContent;
var bmiPercentile = document.getElementById('bmiPercentile').textContent;
var age = document.getElementById('infantAge').value || 'N/A';
var weight = document.getElementById('infantWeight').value || 'N/A';
var height = document.getElementById('infantHeight').value || 'N/A';
var sex = document.getElementById('infantSex').value || 'N/A';
var resultsText = "Infant Growth Calculation Results:\n\n" +
"Inputs:\n" +
"- Age: " + age + " months\n" +
"- Weight: " + weight + " kg\n" +
"- Height: " + height + " cm\n" +
"- Sex: " + sex + "\n\n" +
"Summary:\n" +
"- Primary Indicator: " + primaryResult + "\n" +
"- " + weightPercentile + "\n" +
"- " + heightPercentile + "\n" +
"- " + bmiValue + "\n" +
"- " + bmiPercentile + "\n\n" +
"This calculation is based on WHO growth standards.";
try {
navigator.clipboard.writeText(resultsText).then(function() {
alert('Results copied to clipboard!');
}, function() {
alert('Failed to copy results. Please copy manually.');
});
} catch (err) {
// Fallback for browsers that don't support clipboard API well
prompt('Copy the text below:', resultsText);
}
}
// Add event listeners for real-time updates on input changes
document.getElementById('infantAge').addEventListener('input', calculateGrowth);
document.getElementById('infantWeight').addEventListener('input', calculateGrowth);
document.getElementById('infantHeight').addEventListener('input', calculateGrowth);
document.getElementById('infantSex').addEventListener('change', calculateGrowth);
// Initialize chart context
var canvas = document.getElementById('growthChart');
canvas.width = 700; // Set desired width
canvas.height = 350; // Set desired height
// FAQ functionality
var faqItems = document.querySelectorAll('.faq-item');
faqItems.forEach(function(item) {
var question = item.querySelector('.faq-question');
question.addEventListener('click', function() {
item.classList.toggle('open');
});
});