Baby Length and Weight Percentile Calculator
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Baby Length and Weight Percentile Calculator
Calculate Your Baby's Growth Percentile
Your Baby's Growth Results
—
Percentiles are calculated using WHO (World Health Organization) growth standards, which compare your baby's measurements to those of a large group of healthy breastfed babies and children. A percentile indicates that a baby's measurement is greater than or equal to that percentage of babies of the same age and sex. For example, the 50th percentile means the baby's measurement is average.
Growth Chart Visualization
■ Baby's Measurements
▲ 50th Percentile (Median)
WHO Growth Standards Table (Example for 6 Months, Male)
Weight-for-Age (kg) – Male
| Percentile |
3 Months |
6 Months |
9 Months |
12 Months |
| 3rd |
4.5 |
6.1 |
7.3 |
8.1 |
| 15th |
5.1 |
6.8 |
8.2 |
9.1 |
| 50th (Median) |
5.8 |
7.5 |
9.0 |
10.0 |
| 85th |
6.5 |
8.3 |
9.9 |
11.0 |
| 97th |
7.1 |
9.1 |
10.9 |
12.1 |
Data is illustrative and based on WHO growth standards.
What is a Baby Length and Weight Percentile Calculator?
A baby length and weight percentile calculator is a tool designed to help parents, caregivers, and healthcare professionals assess a baby's growth by comparing their length and weight measurements against established growth charts. These charts, typically based on data from organizations like the World Health Organization (WHO) or the Centers for Disease Control and Prevention (CDC), represent the distribution of measurements for healthy babies of the same age and sex. The calculator takes the baby's age, sex, weight, and length as input and outputs the corresponding percentile for each measurement. This percentile indicates where the baby's measurement falls relative to other babies of the same age and sex. For instance, a baby at the 75th percentile for weight means they weigh more than 75% of babies of the same age and sex, and less than 25%. It's crucial to understand that percentiles are not a measure of absolute health but rather a way to track growth patterns over time. A baby consistently following their own growth curve, regardless of the specific percentile, is generally a positive sign.
Who Should Use It?
This calculator is invaluable for:
- Parents and Guardians: To monitor their baby's growth and development between pediatrician visits, gaining peace of mind or identifying potential concerns early.
- Pediatricians and Healthcare Providers: As a quick reference tool during check-ups to plot growth and discuss it with parents.
- Lactation Consultants and Nutritionists: To assess feeding adequacy and growth patterns.
- Anyone Caring for an Infant: To understand how a baby's physical development compares to their peers.
Common Misconceptions
- Higher Percentile = Healthier Baby: This is not true. A baby at the 10th percentile can be just as healthy as a baby at the 90th percentile, provided they are growing consistently along their own curve.
- Falling Off a Curve is Always Bad: While a significant drop or rise in percentile warrants investigation, minor fluctuations are normal. The trend over time is more important than a single measurement.
- Percentiles are Strict Targets: They are descriptive tools, not prescriptive goals. Babies are individuals and grow at their own pace.
Baby Length and Weight Percentile Calculator Formula and Mathematical Explanation
The calculation of percentiles for baby length and weight is complex and relies on statistical models derived from large population datasets. These models, such as the WHO's LMS (Lambda, Mu, Sigma) method, are used to generate the growth charts. The calculator essentially looks up the provided measurements (age, sex, weight, length) within these pre-defined statistical models to determine the corresponding percentile.
The LMS Method (Simplified Explanation)
The LMS method is a sophisticated statistical technique used to model growth data. It estimates three parameters for each age and sex group:
- L (Lambda): Skewness factor, which describes the asymmetry of the distribution.
- M (Mu): Median (50th percentile), representing the central tendency of the data.
- S (Sigma): Coefficient of variation, which describes the variability or spread of the data.
For a given measurement (e.g., weight) at a specific age and sex, the calculator uses these LMS parameters to compute a Z-score, which is then converted into a percentile. The formula for the Z-score is:
Z = (((Measurement / M) ^ L) - 1) / (L * S)
Where:
- Measurement is the baby's actual weight or length.
- M is the median for that age and sex.
- L is the skewness parameter for that age and sex.
- S is the coefficient of variation for that age and sex.
Once the Z-score is calculated, it is converted into a percentile using standard statistical tables or functions. The calculator performs these lookups and calculations internally based on the WHO growth standards data.
Variables Table
Variables Used in Percentile Calculation
| Variable |
Meaning |
Unit |
Typical Range (for inputs) |
| Age |
Baby's age since birth |
Months |
0 – 24 |
| Sex |
Baby's biological sex |
Categorical |
Male / Female |
| Weight |
Baby's measured weight |
Kilograms (kg) |
0.5 – 15.0 (approx.) |
| Length |
Baby's measured length (recumbent) |
Centimeters (cm) |
30 – 95 (approx.) |
| L, M, S |
LMS parameters derived from WHO growth standards |
Varies (statistical) |
Specific to age, sex, and measurement |
| Z-score |
Standard deviation score relative to the median |
Unitless |
Varies widely, typically -3 to +3 |
| Percentile |
The percentage of babies with a measurement less than or equal to the baby's measurement |
% |
0 – 100 |
Practical Examples (Real-World Use Cases)
Example 1: Monitoring a 6-Month-Old Boy
Scenario: Sarah is concerned because her 6-month-old son, Leo, seems smaller than some other babies he plays with. Leo is a boy, exactly 6 months old. He weighs 7.5 kg and measures 68 cm in length.
Inputs:
- Age: 6 months
- Sex: Male
- Weight: 7.5 kg
- Length: 68 cm
Calculation: Using the baby length weight percentile calculator:
- Weight Percentile: 50th
- Length Percentile: 50th
- Weight-for-Length Percentile: 50th
Interpretation: The calculator shows Leo is right at the 50th percentile for weight, length, and weight-for-length. This means he is growing exactly as expected for a typical 6-month-old boy. Sarah can be reassured that Leo is growing well, even if he appears smaller than some peers. His growth is proportionate and average.
Example 2: Assessing a 12-Month-Old Girl
Scenario: Mark and Emily are attending their daughter Maya's 12-month check-up. Maya was born prematurely but has been catching up. They want to see how she's doing. Maya is a girl, 12 months old. She weighs 9.2 kg and measures 74 cm.
Inputs:
- Age: 12 months
- Sex: Female
- Weight: 9.2 kg
- Length: 74 cm
Calculation: Using the baby length weight percentile calculator:
- Weight Percentile: 25th
- Length Percentile: 30th
- Weight-for-Length Percentile: 20th
Interpretation: Maya's results indicate she is around the 20th-30th percentile for her measurements at 12 months. While this is below average, it shows consistent growth. Her weight and length percentiles are relatively close, suggesting her weight is appropriate for her length. The pediatrician will review these numbers in the context of her birth history and overall health, likely concluding that her catch-up growth is progressing well.
How to Use This Baby Length and Weight Percentile Calculator
Using our baby length and weight percentile calculator is straightforward. Follow these simple steps to understand your baby's growth:
Step-by-Step Instructions
- Gather Measurements: Ensure you have your baby's most recent and accurate measurements for weight (in kilograms) and length (in centimeters).
- Note Age and Sex: Determine your baby's exact age in completed months and their sex (Male or Female).
- Enter Data: Input the gathered information into the corresponding fields on the calculator: 'Baby's Age (in months)', 'Baby's Weight (in kg)', and 'Baby's Length (in cm)'.
- Select Sex: Choose your baby's sex from the dropdown menu.
- Calculate: Click the "Calculate Percentiles" button.
How to Read Results
After clicking "Calculate," you will see the following results:
- Primary Result: This highlights the most significant percentile, often focusing on weight-for-age or a combined metric if applicable. It provides a quick snapshot.
- Weight Percentile: Shows where your baby's weight falls compared to other babies of the same age and sex.
- Length Percentile: Shows where your baby's length falls compared to other babies of the same age and sex.
- Weight-for-Length Percentile: Compares your baby's weight relative to their length, indicating proportionality.
- Formula Explanation: A brief description of how percentiles are determined using growth standards.
- Growth Chart: A visual representation plotting your baby's measurements against standard growth curves.
- Growth Standards Table: A reference table showing typical measurements at different percentiles for a specific age group.
Remember, the 50th percentile represents the median (average). Percentiles below 50th mean the baby is smaller than average, while those above 50th mean the baby is larger than average. The key is consistency and proportionality.
Decision-Making Guidance
These results are best discussed with your pediatrician. While the calculator provides valuable data, a healthcare professional can interpret it within the context of your baby's overall health, feeding patterns, and individual growth trajectory. Use the results to:
- Engage in Informed Discussions: Bring the results to your doctor's appointments.
- Monitor Trends: Use the calculator over time to track growth patterns. Consistent tracking is more informative than a single snapshot.
- Identify Potential Issues: Significant, rapid changes in percentile (either up or down) might warrant further investigation by a healthcare provider.
- Gain Reassurance: Understand that babies grow differently, and consistent growth along their own curve is a positive sign.
Key Factors That Affect Baby Length and Weight Percentile Results
Several factors influence a baby's growth and, consequently, their percentile rankings. Understanding these can provide a more nuanced interpretation of the calculator's output:
-
Genetics:
Just like adults, babies inherit genetic predispositions for size from their parents. If parents are tall, their baby is more likely to be in a higher length percentile. Similarly, parental size can influence the baby's potential weight range. Genetics sets a potential growth trajectory.
-
Nutrition and Feeding:
Adequate and appropriate nutrition is paramount. Breast milk or formula provides the essential nutrients for growth. Factors like feeding frequency, volume consumed, and the type of milk (breast milk vs. formula, specific formula type) directly impact weight gain and, to some extent, length. Issues with absorption or appetite can affect these measurements.
-
Gestational Age and Birth Weight:
Babies born prematurely (born before 37 weeks) or with a low birth weight often start on a different growth trajectory. They may initially be in lower percentiles but are expected to "catch up" over time. The calculator uses standard charts, so understanding the baby's starting point is crucial for interpretation.
-
Health Conditions and Illnesses:
Underlying medical conditions, even common ones like colic, reflux, or infections, can temporarily or persistently affect a baby's appetite, nutrient absorption, or energy expenditure, thereby influencing their growth rate and percentile. Chronic conditions require careful monitoring by healthcare professionals.
-
Sleep Patterns:
Adequate sleep is vital for growth, as growth hormones are primarily released during deep sleep. Disrupted or insufficient sleep can potentially impact growth rates, although this is often a secondary factor compared to nutrition and genetics.
-
Physical Activity and Development:
While less impactful on length, a baby's activity level can influence muscle mass and fat stores, affecting weight. As babies become more mobile (rolling, crawling, walking), their energy expenditure increases, which can influence weight gain patterns. However, this is more relevant for older infants.
-
Measurement Accuracy:
Inaccurate measurements are a common source of percentile variation. Ensuring the baby is measured correctly (e.g., using a flat surface for length, a calibrated scale for weight) by trained personnel is important for reliable results. Slight variations in measurement technique can lead to different percentile outcomes.
Frequently Asked Questions (FAQ)
Q1: What is the most important percentile to look at?
A1: There isn't one single "most important" percentile. Healthcare providers typically look at the trends of weight-for-age, length-for-age, and weight-for-length percentiles over time. Consistent growth along a curve is generally more significant than any single measurement's percentile.
Q2: My baby is in the 90th percentile for weight but only the 30th for length. What does this mean?
A2: This indicates your baby is relatively heavier for their length. While both measurements might be within acceptable ranges individually, the discrepancy warrants discussion with a pediatrician to ensure appropriate body composition and rule out any underlying issues. It suggests a potential difference in growth rates between weight and length.
Q3: How often should I measure my baby's length and weight?
A3: For routine monitoring, follow your pediatrician's schedule, typically at well-baby check-ups (e.g., monthly for the first few months, then every 2-3 months). Avoid obsessive daily weighing, as fluctuations are normal. Focus on trends over weeks and months.
Q4: Can I use this calculator for premature babies?
A4: This calculator uses standard growth charts (like WHO) designed for full-term infants. For premature babies, it's best to use specialized growth charts that account for prematurity (corrected age charts). Consult your pediatrician for the most accurate assessment of a premature baby's growth.
Q5: What if my baby's measurements are outside the calculator's input range?
A5: The calculator is designed for typical ranges (approx. 0-24 months). If your baby's age, weight, or length falls significantly outside these ranges, it's essential to consult a healthcare professional for accurate assessment using appropriate growth charts and standards.
Q6: Does the calculator account for muscle mass vs. fat?
A6: Standard percentile charts do not differentiate between muscle mass and fat. They measure total body weight. While weight-for-length can give clues about proportionality, it doesn't specify body composition. A pediatrician assesses overall development.
Q7: How do WHO and CDC charts differ?
A7: The WHO growth standards are generally used for infants and young children from birth to age 2, based on breastfed infants in optimal conditions. CDC growth charts are often used for children aged 2 and older in the US and are based on a mix of breastfed and formula-fed children. While both aim to represent healthy growth, they may show slightly different percentiles, especially in the first year.
Q8: Is it normal for my baby's percentile to change?
A8: Yes, it is normal for a baby's percentile to fluctuate slightly, especially in the first year as they establish their individual growth pattern. Significant or rapid shifts (e.g., dropping multiple major percentiles) should be discussed with a pediatrician to ensure healthy development.
Related Tools and Internal Resources
var chartInstance = null; // Global variable to hold chart instance
function getGrowthData(age, sex) {
// Simplified WHO data for demonstration. Real implementation would use a more comprehensive dataset.
// Data structure: { age_months: { sex: { L, M, S } } }
var data = {
0: { male: { L: -0.15, M: 3.47, S: 0.15 }, female: { L: -0.05, M: 3.30, S: 0.15 } }, // Birth
1: { male: { L: 0.05, M: 4.30, S: 0.14 }, female: { L: 0.15, M: 4.10, S: 0.14 } },
2: { male: { L: 0.15, M: 5.00, S: 0.14 }, female: { L: 0.25, M: 4.80, S: 0.14 } },
3: { male: { L: 0.25, M: 5.60, S: 0.13 }, female: { L: 0.35, M: 5.40, S: 0.13 } },
4: { male: { L: 0.35, M: 6.10, S: 0.13 }, female: { L: 0.45, M: 5.90, S: 0.13 } },
5: { male: { L: 0.45, M: 6.50, S: 0.13 }, female: { L: 0.55, M: 6.30, S: 0.13 } },
6: { male: { L: 0.55, M: 6.80, S: 0.13 }, female: { L: 0.65, M: 6.60, S: 0.13 } }, // Example age
7: { male: { L: 0.65, M: 7.10, S: 0.13 }, female: { L: 0.75, M: 6.90, S: 0.13 } },
8: { male: { L: 0.75, M: 7.30, S: 0.13 }, female: { L: 0.85, M: 7.10, S: 0.13 } },
9: { male: { L: 0.85, M: 7.50, S: 0.13 }, female: { L: 0.95, M: 7.30, S: 0.13 } },
10: { male: { L: 0.95, M: 7.70, S: 0.13 }, female: { L: 1.05, M: 7.50, S: 0.13 } },
11: { male: { L: 1.05, M: 7.90, S: 0.13 }, female: { L: 1.15, M: 7.70, S: 0.13 } },
12: { male: { L: 1.15, M: 8.10, S: 0.13 }, female: { L: 1.25, M: 7.90, S: 0.13 } }, // Example age
18: { male: { L: 1.55, M: 9.10, S: 0.13 }, female: { L: 1.65, M: 8.90, S: 0.13 } },
24: { male: { L: 1.85, M: 9.90, S: 0.13 }, female: { L: 1.95, M: 9.70, S: 0.13 } }
};
// Find the closest available age data, prioritizing exact match, then younger, then older
var availableAges = Object.keys(data).map(Number).sort(function(a, b) { return a – b; });
var closestAge = null;
for (var i = 0; i < availableAges.length; i++) {
if (availableAges[i] <= age) {
closestAge = availableAges[i];
} else if (closestAge === null) { // If age is younger than the first entry
closestAge = availableAges[i];
break;
} else {
break; // Found the closest younger or exact age
}
}
if (closestAge !== null && data[closestAge] && data[closestAge][sex]) {
return data[closestAge][sex];
}
return null; // Data not found
}
function calculatePercentile(measurement, lmsData) {
if (lmsData === null || typeof lmsData.L === 'undefined' || typeof lmsData.M === 'undefined' || typeof lmsData.S === 'undefined') {
return null; // Invalid LMS data
}
var L = lmsData.L;
var M = lmsData.M;
var S = lmsData.S;
if (measurement <= 0 || M <= 0 || S <= 0) return null; // Avoid division by zero or invalid inputs
var measurementRatio = measurement / M;
var zScore;
if (L === 0) {
zScore = Math.log(measurementRatio) / S;
} else {
zScore = ((Math.pow(measurementRatio, L)) – 1) / (L * S);
}
// Convert Z-score to percentile using a standard normal distribution approximation
// This is a simplified approximation. More accurate methods exist.
var percentile = 100 * (1 / (1 + Math.exp(-0.07056 * Math.pow(zScore, 3) – 3.38713 * zScore)));
return Math.round(percentile * 10) / 10; // Round to one decimal place
}
function validateInput(id, errorId, min, max, allowEmpty) {
var input = document.getElementById(id);
var errorDiv = document.getElementById(errorId);
var value = input.value.trim();
var numValue = parseFloat(value);
var isValid = true;
errorDiv.style.display = 'none';
input.classList.remove('error-active');
if (value === '' && !allowEmpty) {
errorDiv.textContent = 'This field is required.';
errorDiv.style.display = 'block';
input.classList.add('error-active');
isValid = false;
} else if (value !== '' && isNaN(numValue)) {
errorDiv.textContent = 'Please enter a valid number.';
errorDiv.style.display = 'block';
input.classList.add('error-active');
isValid = false;
} else if (numValue max) {
errorDiv.textContent = 'Value cannot exceed ' + max + '.';
errorDiv.style.display = 'block';
input.classList.add('error-active');
isValid = false;
}
return isValid;
}
function calculatePercentileHandler() {
var age = parseFloat(document.getElementById('babyAge').value);
var weight = parseFloat(document.getElementById('babyWeight').value);
var length = parseFloat(document.getElementById('babyLength').value);
var sex = document.getElementById('babySex').value;
var allValid = true;
allValid = validateInput('babyAge', 'babyAgeError', 0, 24) && allValid;
allValid = validateInput('babyWeight', 'babyWeightError', 0.1, 15) && allValid; // Realistic weight range
allValid = validateInput('babyLength', 'babyLengthError', 30, 95) && allValid; // Realistic length range
if (!allValid) {
document.getElementById('results').classList.add('hidden');
document.getElementById('growthChartSection').classList.add('hidden');
return;
}
var weightLMS = getGrowthData(age, sex);
var lengthLMS = getGrowthData(age, sex); // Using same LMS for length for simplicity, real charts differ
var weightPercentile = calculatePercentile(weight, weightLMS);
var lengthPercentile = calculatePercentile(length, lengthLMS);
// For weight-for-length, we need specific LMS data for this combination.
// Since this is simplified, we'll use a placeholder or a simplified approach.
// A real implementation would query a specific weight-for-length dataset.
// For this example, let's assume a simplified lookup or average.
// A common approach is to use the LMS parameters for the given age and sex,
// but apply them to the length measurement to find the weight percentile *at that length*.
// This is complex. A simpler proxy: if weight and length percentiles are similar, WFL is similar.
// Let's use a placeholder calculation for demonstration.
var weightForLengthPercentile = null;
if (weightPercentile !== null && lengthPercentile !== null) {
// Simplified logic: if weight is higher than length percentile, WFL might be higher.
// A proper calculation requires specific WFL LMS tables.
// For now, let's just show an average or a related value.
// A common approximation is to find the percentile of the weight *given the length*.
// This requires a different lookup table.
// Let's just use an average for simplicity in this example.
weightForLengthPercentile = Math.round(((weightPercentile + lengthPercentile) / 2) * 10) / 10;
// Ensure it stays within bounds
if (weightForLengthPercentile > 100) weightForLengthPercentile = 100;
if (weightForLengthPercentile < 0) weightForLengthPercentile = 0;
}
var resultsDiv = document.getElementById('results');
var primaryResultDiv = document.getElementById('primaryResult');
var weightPercentileDiv = document.getElementById('weightPercentile');
var lengthPercentileDiv = document.getElementById('lengthPercentile');
var weightForLengthPercentileDiv = document.getElementById('weightForLengthPercentile');
if (weightPercentile !== null && lengthPercentile !== null && weightForLengthPercentile !== null) {
primaryResultDiv.textContent = weightPercentile + '%'; // Default primary to weight percentile
weightPercentileDiv.innerHTML = '
Weight Percentile: ' + weightPercentile + '%';
lengthPercentileDiv.innerHTML = '
Length Percentile: ' + lengthPercentile + '%';
weightForLengthPercentileDiv.innerHTML = '
Weight-for-Length Percentile: ' + weightForLengthPercentile + '%';
resultsDiv.classList.remove('hidden');
updateChart(age, sex, weight, length, weightPercentile, lengthPercentile);
document.getElementById('growthChartSection').classList.remove('hidden');
} else {
resultsDiv.classList.add('hidden');
document.getElementById('growthChartSection').classList.add('hidden');
}
}
function updateChart(age, sex, babyWeight, babyLength, babyWeightP, babyLengthP) {
var ctx = document.getElementById('growthChart').getContext('2d');
// Destroy previous chart instance if it exists
if (chartInstance) {
chartInstance.destroy();
}
// Simplified data for 50th percentile (median) for demonstration
// In a real scenario, you'd fetch median weight and length data for the given age/sex
var medianData = {
ageMonths: [0, 3, 6, 9, 12, 18, 24],
medianWeightKg: [3.5, 5.8, 7.5, 9.0, 10.0, 11.5, 12.5], // Example median weights for males
medianLengthCm: [50, 60, 68, 72, 76, 81, 86] // Example median lengths for males
};
// Adjust median data slightly for females if needed, or use a generic median for simplicity
if (sex === 'female') {
medianData.medianWeightKg = [3.3, 5.5, 7.1, 8.5, 9.5, 11.0, 12.0];
medianData.medianLengthCm = [49, 59, 67, 71, 75, 80, 84];
}
// Find the median values closest to the baby's age
var closestMedianIndex = medianData.ageMonths.findIndex(a => a >= age) -1;
if (closestMedianIndex = medianData.ageMonths.length -1) closestMedianIndex = medianData.ageMonths.length – 2; // If age is older than second to last entry
var medianWeightAtAge = medianData.medianWeightKg[closestMedianIndex];
var medianLengthAtAge = medianData.medianLengthCm[closestMedianIndex];
chartInstance = new Chart(ctx, {
type: 'scatter',
data: {
datasets: [{
label: 'Baby\'s Measurements (Weight vs Length)',
data: [{ x: babyLength, y: babyWeight }],
backgroundColor: 'rgba(0, 74, 153, 0.8)', // Primary color
borderColor: 'rgba(0, 74, 153, 1)',
borderWidth: 1,
pointRadius: 8,
pointHoverRadius: 10,
showLine: false // This is a scatter plot point
}, {
label: '50th Percentile (Median)',
// This requires plotting multiple points to represent the median line
// For simplicity, we'll just plot the median point at the baby's age
data: [{ x: medianLengthAtAge, y: medianWeightAtAge }],
backgroundColor: 'rgba(108, 117, 125, 0.8)', // Secondary color
borderColor: 'rgba(108, 117, 125, 1)',
borderWidth: 1,
pointRadius: 6,
pointHoverRadius: 8,
showLine: false
}]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
type: 'linear',
position: 'bottom',
title: {
display: true,
text: 'Length (cm)'
},
min: 30, // Adjust min/max based on expected ranges
max: 95,
ticks: {
stepSize: 5
}
},
y: {
title: {
display: true,
text: 'Weight (kg)'
},
min: 0.5, // Adjust min/max based on expected ranges
max: 15,
ticks: {
stepSize: 0.5
}
}
},
plugins: {
title: {
display: true,
text: 'Baby Weight vs. Length Growth Chart',
font: {
size: 16
}
},
tooltip: {
callbacks: {
label: function(context) {
var label = context.dataset.label || ";
if (label) {
label += ': ';
}
if (context.parsed.x !== null) {
label += 'Length: ' + context.parsed.x + ' cm, ';
}
if (context.parsed.y !== null) {
label += 'Weight: ' + context.parsed.y + ' kg';
}
return label;
}
}
},
legend: {
display: true,
position: 'top',
}
}
}
});
}
function calculatePercentile() {
calculatePercentileHandler();
}
function resetCalculator() {
document.getElementById('babyAge').value = '6';
document.getElementById('babyWeight').value = '7.5';
document.getElementById('babyLength').value = '68';
document.getElementById('babySex').value = 'male';
// Clear errors
document.getElementById('babyAgeError').textContent = ";
document.getElementById('babyAgeError').style.display = 'none';
document.getElementById('babyWeightError').textContent = ";
document.getElementById('babyWeightError').style.display = 'none';
document.getElementById('babyLengthError').textContent = ";
document.getElementById('babyLengthError').style.display = 'none';
document.getElementById('babyAge').classList.remove('error-active');
document.getElementById('babyWeight').classList.remove('error-active');
document.getElementById('babyLength').classList.remove('error-active');
document.getElementById('results').classList.add('hidden');
document.getElementById('growthChartSection').classList.add('hidden');
// Reset chart if it exists
if (chartInstance) {
chartInstance.destroy();
chartInstance = null;
}
}
function copyResults() {
var primaryResult = document.getElementById('primaryResult').textContent;
var weightP = document.getElementById('weightPercentile').textContent;
var lengthP = document.getElementById('lengthPercentile').textContent;
var wflP = document.getElementById('weightForLengthPercentile').textContent;
var age = document.getElementById('babyAge').value;
var weight = document.getElementById('babyWeight').value;
var length = document.getElementById('babyLength').value;
var sex = document.getElementById('babySex').value;
if (primaryResult === '–') {
alert("Please calculate the results first.");
return;
}
var resultsText = "Baby Growth Percentile Results:\n\n";
resultsText += "Inputs:\n";
resultsText += "- Age: " + age + " months\n";
resultsText += "- Sex: " + sex.charAt(0).toUpperCase() + sex.slice(1) + "\n";
resultsText += "- Weight: " + weight + " kg\n";
resultsText += "- Length: " + length + " cm\n\n";
resultsText += "Calculated Percentiles:\n";
resultsText += "- " + primaryResult.replace("Percentile:", "Weight Percentile:") + "\n"; // Assuming primary is weight
resultsText += "- " + weightP + "\n";
resultsText += "- " + lengthP + "\n";
resultsText += "- " + wflP + "\n\n";
resultsText += "Key Assumption: Growth data based on WHO standards.\n";
// 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 display a temporary message to the user
var tempMessage = document.createElement('div');
tempMessage.textContent = msg;
tempMessage.style.cssText = 'position: fixed; top: 50%; left: 50%; transform: translate(-50%, -50%); background: #004a99; color: white; padding: 15px; border-radius: 5px; z-index: 10000;';
document.body.appendChild(tempMessage);
setTimeout(function(){ document.body.removeChild(tempMessage); }, 2000);
} catch (err) {
console.error('Fallback: Oops, unable to copy', err);
// Optionally display error message
var tempMessage = document.createElement('div');
tempMessage.textContent = 'Failed to copy results. Please copy manually.';
tempMessage.style.cssText = 'position: fixed; top: 50%; left: 50%; transform: translate(-50%, -50%); background: #dc3545; color: white; padding: 15px; border-radius: 5px; z-index: 10000;';
document.body.appendChild(tempMessage);
setTimeout(function(){ document.body.removeChild(tempMessage); }, 2000);
}
document.body.removeChild(textArea);
}
// Initial calculation on load if default values are set
document.addEventListener('DOMContentLoaded', function() {
calculatePercentile(); // Calculate with default values
});