Baby Weight for Age Calculator: Track Your Infant's Growth
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Infant Growth Tracker
Growth Analysis
—
This calculator uses WHO (World Health Organization) growth standards to estimate your baby's weight percentile and Z-score based on age and sex.
Baby's Weight | WHO Average Weight (Male)
Growth Data Comparison
| Age (Days) |
Baby's Weight (kg) |
WHO Avg. Weight (Male, kg) |
WHO Avg. Weight (Female, kg) |
Percentile |
| — |
— |
— |
— |
— |
What is a Baby Weight for Age Calculator?
A baby weight for age calculator is a specialized tool designed to help parents, caregivers, and healthcare professionals assess an infant's growth trajectory. It compares a baby's current weight against established growth standards for their age and sex. This comparison provides valuable insights into whether the baby is growing within the expected range, is underweight, overweight, or experiencing rapid or slow weight gain. These calculators typically rely on data from reputable organizations like the World Health Organization (WHO) or national health bodies.
Who Should Use It?
- Parents and Guardians: To monitor their baby's development between pediatrician visits and gain peace of mind.
- Pediatricians and Healthcare Providers: As a quick reference tool during check-ups to identify potential growth concerns.
- Lactation Consultants and Nutritionists: To assess feeding effectiveness and nutritional status.
Common Misconceptions:
- "My baby is slightly below average, so there's a problem." Growth charts show a range of normal. Being below the 50th percentile doesn't automatically mean there's an issue, as long as the baby is following their own consistent growth curve and is otherwise healthy.
- "Weight is the only indicator of health." While crucial, weight is just one aspect. Length, head circumference, developmental milestones, and overall well-being are equally important.
- "All babies grow at the same rate." Babies are individuals. Genetics, birth weight, feeding methods (breastfeeding vs. formula), and health conditions can all influence growth patterns.
Baby Weight for Age Calculator Formula and Mathematical Explanation
The core of a baby weight for age calculator relies on comparing a baby's measurements to standardized growth charts. The most widely accepted standards are those published by the World Health Organization (WHO). These charts are based on data collected from healthy, breastfed infants in diverse international settings.
The primary metrics derived are the **Weight-for-age percentile** and the **Z-score**. While the exact algorithms used by the WHO are complex and involve statistical modeling (like the LMS method – Lambda, Mu, Sigma), a simplified explanation involves comparing the baby's data point to the distribution of weights for babies of the same age and sex.
1. Percentile:
A percentile indicates the percentage of babies in the reference population that weigh the same or less than the baby being measured. For example, if a baby is at the 75th percentile for weight at 6 months, it means they weigh more than 75% of babies of the same age and sex in the WHO reference group, and less than 25%.
2. Z-score:
The Z-score is a more statistically precise measure. It indicates how many standard deviations a baby's weight is away from the median (50th percentile) weight for their age and sex. A Z-score of 0 means the baby is exactly at the median. A Z-score of +1 means the baby is one standard deviation above the median, and -1 means one standard deviation below.
Simplified Calculation Logic (Conceptual):
While the actual WHO calculations are intricate, the calculator conceptually does the following:
- Looks up the reference weight data (mean, standard deviations) for the baby's specific age and sex from the WHO dataset.
- Compares the baby's actual weight to this reference data.
- Determines the percentile rank and calculates the Z-score.
Variables:
| Variable |
Meaning |
Unit |
Typical Range (for calculator input) |
| Age |
Baby's age since birth |
Days |
1 to ~730 (2 years) |
| Weight |
Baby's current weight |
Kilograms (kg) |
0.5 to 20.0 |
| Sex |
Baby's biological sex |
Categorical (Male/Female) |
Male, Female |
| Percentile |
Percentage of babies weighing less |
% |
0 to 100 |
| Z-Score |
Number of standard deviations from the median |
Unitless |
Approx. -3 to +3 (can extend) |
Note: The calculator uses simplified approximations or lookups for WHO data. For precise clinical use, always refer to official WHO growth charts and consult a healthcare professional.
Practical Examples (Real-World Use Cases)
Let's explore how the baby weight for age calculator can be used with practical scenarios:
Example 1: Monitoring a Healthy 4-Month-Old
Scenario: Sarah is checking on her son, Leo, who is exactly 120 days old (approximately 4 months). Leo weighs 7.2 kg. He is exclusively breastfed and generally seems content and active.
Inputs:
- Baby's Age: 120 days
- Baby's Weight: 7.2 kg
- Baby's Sex: Male
Calculator Output (Hypothetical):
- Primary Result: 65th Percentile
- Z-Score: +0.38
- Growth Status: Healthy Growth
Interpretation: Leo is weighing more than 65% of baby boys his age according to WHO standards. His Z-score is slightly positive, indicating he's above the median weight but well within the healthy range. This suggests he is growing well and likely receiving adequate nutrition.
Example 2: Assessing a Premature Baby's Catch-Up Growth
Scenario: Mark and Lisa are concerned about their daughter, Mia, who was born prematurely. She is now 180 days old (approx. 6 months) but was born 6 weeks early. Her current weight is 5.5 kg. They want to see how she's doing compared to full-term babies her adjusted age.
Inputs:
- Baby's Age: 180 days
- Baby's Weight: 5.5 kg
- Baby's Sex: Female
Calculator Output (Hypothetical):
- Primary Result: 15th Percentile
- Z-Score: -1.04
- Growth Status: Below Average, Monitor Closely
Interpretation: Mia is at the 15th percentile for weight for her chronological age (180 days). Her Z-score is negative, indicating she is below the median weight. While this might be expected for a premature baby, it warrants close monitoring by her pediatrician. The healthcare team will likely assess her length, head circumference, and overall development, and may use corrected age charts initially to better evaluate her catch-up growth. This result prompts a discussion with the doctor about her feeding plan and developmental progress.
How to Use This Baby Weight for Age Calculator
Using the baby weight for age calculator is straightforward. Follow these simple steps to get an instant growth assessment for your infant:
- Enter Baby's Age: Input the baby's exact age in days. For example, if your baby is 3 months old, that's approximately 90 days (30 days/month). Be as precise as possible.
- Enter Baby's Weight: Provide the baby's current weight in kilograms (kg). Ensure you are using the correct unit. If your scale shows pounds, convert it to kg (1 lb ≈ 0.453592 kg).
- Select Baby's Sex: Choose 'Male' or 'Female' from the dropdown menu. Growth standards differ slightly between sexes.
- Click 'Calculate Growth': Once all fields are filled, press the calculate button.
How to Read Results:
- Primary Result (Percentile): This is the main indicator. A higher percentile means your baby weighs more relative to others of the same age and sex. A percentile between 3% and 97% is generally considered within the normal range.
- Z-Score: This provides a statistical measure. A Z-score close to 0 is ideal. Scores between -2 and +2 are typically considered normal. Scores below -2 or above +2 may indicate underweight or overweight concerns, respectively, and warrant discussion with a doctor.
- Growth Status: This gives a quick interpretation (e.g., "Healthy Growth," "Monitor Closely," "Underweight Concern").
- Table and Chart: These provide visual and tabular comparisons against WHO data, showing average weights and the baby's position relative to them.
Decision-Making Guidance:
This calculator is a helpful tool, but it is NOT a substitute for professional medical advice. Use the results as a starting point for conversations with your pediatrician. If the calculator indicates a potential concern (e.g., very low or very high percentile/Z-score, sudden drop or rise in percentile), schedule an appointment with your healthcare provider. They can perform a full assessment, considering factors like length, head circumference, feeding patterns, and overall health.
Key Factors That Affect Baby Weight for Age Results
While the baby weight for age calculator provides a valuable snapshot, several factors influence an infant's growth trajectory and the interpretation of the results:
- Genetics: Just like adults, babies inherit growth potential from their parents. A baby born to taller or larger parents might naturally track higher on the growth charts.
- Birth Weight and Gestational Age: Premature babies or those with low birth weight often follow different growth curves initially. They may experience "catch-up growth" and might appear lower on standard charts for their chronological age, especially in the early months. Corrected age is often used for premature infants.
- Feeding Method and Intake: Breastfed babies and formula-fed babies can have different weight gain patterns. Exclusive breastfeeding often leads to slower, steadier weight gain after the initial period compared to some formula-fed babies. Inadequate milk intake can lead to slower weight gain, while overfeeding (less common with breastfeeding) could contribute to faster gain.
- Health Conditions: Underlying medical issues, such as digestive problems (e.g., reflux, malabsorption), metabolic disorders, chronic illnesses, or infections, can significantly impact a baby's ability to gain weight appropriately.
- Activity Level and Metabolism: As babies become more mobile, they burn more calories. Individual metabolic rates also play a role. A very active baby might gain weight differently than a less active one.
- Sleep Patterns: Adequate sleep is crucial for growth and development. Disrupted sleep can sometimes be linked to feeding difficulties or stress, indirectly affecting weight gain.
- Parental Concerns and Observation: While charts provide data, parents' observations about their baby's alertness, feeding cues, output (wet/dirty diapers), and overall demeanor are vital clinical information for healthcare providers.
Frequently Asked Questions (FAQ)
Q1: What is the ideal weight gain for a baby?
A: There isn't a single "ideal" weight gain. After the initial 5-7% weight loss in the first few days, babies typically regain birth weight by 1-2 weeks. After that, a common pattern is about 150-200 grams (approx. 0.3-0.4 lbs) per week for the first few months, but this slows down. The key is consistent growth along their percentile curve, as assessed by a pediatrician.
Q2: My baby is in the 10th percentile. Is that bad?
A: Not necessarily. The 10th percentile means the baby weighs more than 10% of babies their age and sex. As long as the baby is healthy, active, meeting developmental milestones, and following a consistent growth curve (not dropping percentiles rapidly), it's often considered normal. Discuss any concerns with your doctor.
Q3: How often should I use the baby weight for age calculator?
A: You can use it periodically, perhaps weekly or bi-weekly, to track trends between doctor visits. However, avoid obsessing over daily fluctuations. Focus on the overall trend and consult your pediatrician for regular check-ups.
Q4: Does this calculator account for premature babies?
A: This calculator uses chronological age. For premature babies, it's often more appropriate to use growth charts based on corrected age (age from the due date). While this tool can give a baseline, consult your pediatrician for guidance on using corrected age charts.
Q5: What's the difference between percentile and Z-score?
A: Percentile tells you how many babies your baby weighs more than. Z-score tells you how many standard deviations your baby's weight is from the average. Z-scores are statistically more precise, especially for identifying potential issues at the extremes of the growth distribution.
Q6: Can I use pounds (lbs) instead of kilograms (kg)?
A: This specific calculator requires input in kilograms. You'll need to convert your baby's weight from pounds to kilograms before entering it (1 lb ≈ 0.453592 kg).
Q7: What if my baby's weight gain seems too fast?
A: Rapid weight gain can sometimes be a concern, potentially indicating overfeeding or underlying issues. If you're concerned, discuss it with your pediatrician. They can assess feeding practices and overall health.
Q8: Where does the data for this calculator come from?
A: This calculator is based on the World Health Organization (WHO) growth standards, which are widely recognized and used globally for assessing infant and young child growth.
Related Tools and Internal Resources
var WHO_GROWTH_DATA = {
male: {
// Data structure: { ageInDays: { median: weightKg, sd3neg: weightKg, sd2neg: weightKg, sd1neg: weightKg, sd1pos: weightKg, sd2pos: weightKg, sd3pos: weightKg, p3: weightKg, p5: weightKg, p10: weightKg, p15: weightKg, p25: weightKg, p50: weightKg, p75: weightKg, p85: weightKg, p90: weightKg, p95: weightKg, p97: weightKg } }
// Simplified data for demonstration – real WHO data is extensive and complex.
// This is a placeholder and needs actual WHO data lookup or approximation.
// Example data points (highly simplified and not accurate WHO data):
0: { median: 3.0, sd3neg: 1.8, sd2neg: 2.2, sd1neg: 2.6, sd1pos: 3.4, sd2pos: 3.8, sd3pos: 4.2, p3: 1.9, p5: 2.0, p10: 2.2, p15: 2.4, p25: 2.7, p50: 3.0, p75: 3.3, p85: 3.5, p90: 3.6, p95: 3.8, p97: 3.9 },
30: { median: 4.0, sd3neg: 2.5, sd2neg: 3.0, sd1neg: 3.5, sd1pos: 4.5, sd2pos: 5.0, sd3pos: 5.5, p3: 2.6, p5: 2.7, p10: 2.9, p15: 3.1, p25: 3.4, p50: 4.0, p75: 4.6, p85: 4.9, p90: 5.1, p95: 5.3, p97: 5.4 },
90: { median: 6.5, sd3neg: 4.5, sd2neg: 5.2, sd1neg: 5.9, sd1pos: 7.1, sd2pos: 7.8, sd3pos: 8.5, p3: 4.6, p5: 4.8, p10: 5.1, p15: 5.4, p25: 5.9, p50: 6.5, p75: 7.1, p85: 7.5, p90: 7.8, p95: 8.1, p97: 8.3 },
180: { median: 8.0, sd3neg: 5.5, sd2neg: 6.5, sd1neg: 7.5, sd1pos: 8.5, sd2pos: 9.5, sd3pos: 10.5, p3: 5.6, p5: 5.8, p10: 6.1, p15: 6.4, p25: 7.0, p50: 8.0, p75: 9.0, p85: 9.6, p90: 10.0, p95: 10.5, p97: 10.8 },
365: { median: 9.5, sd3neg: 6.0, sd2neg: 7.0, sd1neg: 8.0, sd1pos: 11.0, sd2pos: 12.0, sd3pos: 13.0, p3: 6.1, p5: 6.3, p10: 6.6, p15: 7.0, p25: 7.8, p50: 9.5, p75: 11.2, p85: 12.0, p90: 12.5, p95: 13.0, p97: 13.3 }
},
female: {
// Simplified data for demonstration
0: { median: 2.8, sd3neg: 1.7, sd2neg: 2.1, sd1neg: 2.5, sd1pos: 3.3, sd2pos: 3.7, sd3pos: 4.1, p3: 1.8, p5: 1.9, p10: 2.1, p15: 2.3, p25: 2.6, p50: 2.8, p75: 3.1, p85: 3.3, p90: 3.4, p95: 3.6, p97: 3.7 },
30: { median: 3.8, sd3neg: 2.3, sd2neg: 2.8, sd1neg: 3.3, sd1pos: 4.3, sd2pos: 4.8, sd3pos: 5.3, p3: 2.4, p5: 2.5, p10: 2.7, p15: 2.9, p25: 3.2, p50: 3.8, p75: 4.4, p85: 4.7, p90: 4.9, p95: 5.1, p97: 5.2 },
90: { median: 6.0, sd3neg: 4.0, sd2neg: 4.8, sd1neg: 5.6, sd1pos: 6.4, sd2pos: 7.2, sd3pos: 8.0, p3: 4.1, p5: 4.3, p10: 4.6, p15: 4.9, p25: 5.4, p50: 6.0, p75: 6.6, p85: 7.0, p90: 7.3, p95: 7.6, p97: 7.8 },
180: { median: 7.5, sd3neg: 5.0, sd2neg: 6.0, sd1neg: 7.0, sd1pos: 8.0, sd2pos: 9.0, sd3pos: 10.0, p3: 5.1, p5: 5.3, p10: 5.6, p15: 5.9, p25: 6.5, p50: 7.5, p75: 8.5, p85: 9.1, p90: 9.5, p95: 10.0, p97: 10.3 },
365: { median: 9.0, sd3neg: 5.5, sd2neg: 6.5, sd1neg: 7.5, sd1pos: 10.5, sd2pos: 11.5, sd3pos: 12.5, p3: 5.6, p5: 5.8, p10: 6.1, p15: 6.5, p25: 7.3, p50: 9.0, p75: 10.7, p85: 11.5, p90: 12.0, p95: 12.5, p97: 12.8 }
}
};
// Placeholder for WHO average weight data for chart comparison
var WHO_AVG_WEIGHT_MALE = {
0: 3.0, 30: 4.0, 90: 6.5, 180: 8.0, 365: 9.5
};
var WHO_AVG_WEIGHT_FEMALE = {
0: 2.8, 30: 3.8, 90: 6.0, 180: 7.5, 365: 9.0
};
var chartInstance = null;
function getGrowthData(ageDays, sex) {
var dataSet = WHO_GROWTH_DATA[sex];
if (!dataSet) return null;
// Find the closest age data point. For simplicity, we'll just use predefined points.
// A real implementation would interpolate or use a more comprehensive dataset.
var ageKeys = Object.keys(dataSet).map(Number).sort(function(a, b) { return a – b; });
var closestAge = ageKeys[0];
for (var i = 0; i = ageKeys[i]) {
closestAge = ageKeys[i];
} else {
break;
}
}
return dataSet[closestAge];
}
function calculatePercentile(weightKg, ageDays, sex) {
var dataPoint = getGrowthData(ageDays, sex);
if (!dataPoint) return null;
var percentiles = ['p3', 'p5', 'p10', 'p15', 'p25', 'p50', 'p75', 'p85', 'p90', 'p95', 'p97'];
var weights = percentiles.map(function(p) { return dataPoint[p]; });
// Simple linear interpolation if weight falls between two known percentiles
for (var i = 0; i = weights[i] && weightKg < weights[i+1]) {
var lowerPercentile = parseFloat(percentiles[i].replace('p', ''));
var upperPercentile = parseFloat(percentiles[i+1].replace('p', ''));
var lowerWeight = weights[i];
var upperWeight = weights[i+1];
if (upperWeight === lowerWeight) return lowerPercentile; // Avoid division by zero
var percentile = lowerPercentile + ((weightKg – lowerWeight) / (upperWeight – lowerWeight)) * (upperPercentile – lowerPercentile);
return percentile;
}
}
// Handle cases outside the defined percentile range
if (weightKg = weights[weights.length – 1]) return 98; // Above p97
return null; // Should not happen with proper data
}
function calculateZScore(weightKg, ageDays, sex) {
var dataPoint = getGrowthData(ageDays, sex);
if (!dataPoint) return null;
var median = dataPoint.median;
var sd1neg = dataPoint.sd1neg;
var sd1pos = dataPoint.sd1pos;
// Approximate standard deviation from sd1neg and sd1pos
// SD is roughly (sd1pos – sd1neg) / 2
var stdDev = (sd1pos – sd1neg) / 2;
if (stdDev <= 0) return null; // Invalid data
var zScore = (weightKg – median) / stdDev;
return zScore;
}
function getGrowthStatus(percentile, zScore) {
if (percentile === null || zScore === null) return "N/A";
// Using Z-score for status determination as it's more statistically robust
if (zScore < -2.0) return "Underweight Concern";
if (zScore < -1.0) return "Below Average (Monitor)";
if (zScore <= 1.0) return "Healthy Growth";
if (zScore <= 2.0) return "Above Average (Monitor)";
return "Overweight Concern";
}
function validateInputs() {
var ageDays = document.getElementById("babyAgeDays").value;
var weightKg = document.getElementById("babyWeightKg").value;
var errors = false;
document.getElementById("babyAgeDaysError").classList.remove("visible");
document.getElementById("babyWeightKgError").classList.remove("visible");
if (ageDays === "" || isNaN(ageDays) || parseFloat(ageDays) <= 0) {
document.getElementById("babyAgeDaysError").innerText = "Please enter a valid age in days (greater than 0).";
document.getElementById("babyAgeDaysError").classList.add("visible");
errors = true;
}
if (weightKg === "" || isNaN(weightKg) || parseFloat(weightKg) a-b).find(key => parseInt(key) >= ageDays) || Object.keys(WHO_AVG_WEIGHT_MALE).pop()];
var avgFemale = WHO_AVG_WEIGHT_FEMALE[Object.keys(WHO_AVG_WEIGHT_FEMALE).sort((a,b)=>a-b).find(key => parseInt(key) >= ageDays) || Object.keys(WHO_AVG_WEIGHT_FEMALE).pop()];
document.getElementById("tableAvgMale").innerText = avgMale !== undefined ? avgMale.toFixed(2) : "–";
document.getElementById("tableAvgFemale").innerText = avgFemale !== undefined ? avgFemale.toFixed(2) : "–";
document.getElementById("tablePercentile").innerText = percentile !== null ? percentile.toFixed(1) + "%" : "–";
updateChart(ageDays, weightKg, sex);
}
function resetCalculator() {
document.getElementById("babyAgeDays").value = "180"; // Default to 6 months
document.getElementById("babyWeightKg").value = "7.5"; // Default to a common weight
document.getElementById("babySex").value = "male";
document.getElementById("babyAgeDaysError").classList.remove("visible");
document.getElementById("babyWeightKgError").classList.remove("visible");
calculateGrowth(); // Recalculate with defaults
}
function copyResults() {
var primaryResult = document.getElementById("primary-result").innerText;
var percentile = document.getElementById("percentile").innerText;
var zScore = document.getElementById("zscore").innerText;
var status = document.getElementById("growth-status").innerText;
var age = document.getElementById("babyAgeDays").value;
var weight = document.getElementById("babyWeightKg").value;
var sex = document.getElementById("babySex").value;
var resultsText = "Baby Growth Analysis:\n\n";
resultsText += "Age: " + age + " days\n";
resultsText += "Weight: " + weight + " kg\n";
resultsText += "Sex: " + sex.charAt(0).toUpperCase() + sex.slice(1) + "\n\n";
resultsText += "Primary Result: " + primaryResult + "\n";
resultsText += "Percentile: " + percentile + "\n";
resultsText += "Z-Score: " + zScore + "\n";
resultsText += "Status: " + status + "\n\n";
resultsText += "Based on WHO Growth Standards.";
try {
navigator.clipboard.writeText(resultsText).then(function() {
alert("Results copied to clipboard!");
}, function(err) {
console.error("Could not copy text: ", err);
alert("Failed to copy results. Please copy manually.");
});
} catch (e) {
console.error("Clipboard API not available: ", e);
alert("Clipboard API not available. Please copy manually.");
}
}
function updateChart(babyAgeDays, babyWeightKg, babySex) {
var ctx = document.getElementById('growthChart').getContext('2d');
// Destroy previous chart instance if it exists
if (chartInstance) {
chartInstance.destroy();
}
// Prepare data for chart
var chartLabels = [];
var babyWeightData = [];
var avgMaleData = [];
var avgFemaleData = [];
// Get data points for the chart (e.g., 0, 30, 90, 180, 365 days)
var chartAgePoints = [0, 30, 90, 180, 365]; // Example points
chartAgePoints.forEach(function(age) {
chartLabels.push(age + " days");
var maleWeight = WHO_AVG_WEIGHT_MALE[age];
var femaleWeight = WHO_AVG_WEIGHT_FEMALE[age];
avgMaleData.push(maleWeight !== undefined ? maleWeight : null);
avgFemaleData.push(femaleWeight !== undefined ? femaleWeight : null);
if (age === babyAgeDays) {
babyWeightData.push(babyWeightKg);
} else {
// Add null for points where the baby's age doesn't match, to create gaps
babyWeightData.push(null);
}
});
// Ensure the baby's actual data point is included if it falls between chart points
if (!chartAgePoints.includes(babyAgeDays)) {
chartLabels.push(babyAgeDays + " days");
avgMaleData.push(null); // No average data for arbitrary points
avgFemaleData.push(null);
babyWeightData.push(babyWeightKg);
}
// Sort data by age for correct chart rendering
var combinedData = chartLabels.map(function(label, index) {
return {
label: label,
babyWeight: babyWeightData[index],
avgMale: avgMaleData[index],
avgFemale: avgFemaleData[index]
};
});
combinedData.sort(function(a, b) {
// Extract age number from label string
var ageA = parseInt(a.label.split(' ')[0]);
var ageB = parseInt(b.label.split(' ')[0]);
return ageA – ageB;
});
chartLabels = combinedData.map(function(d) { return d.label; });
babyWeightData = combinedData.map(function(d) { return d.babyWeight; });
avgMaleData = combinedData.map(function(d) { return d.avgMale; });
avgFemaleData = combinedData.map(function(d) { return d.avgFemale; });
// Determine which average line to show based on selected sex
var datasetToShow = (babySex === 'male') ? avgMaleData : avgFemaleData;
var datasetLabel = (babySex === 'male') ? 'WHO Avg. Weight (Male)' : 'WHO Avg. Weight (Female)';
chartInstance = new Chart(ctx, {
type: 'line',
data: {
labels: chartLabels,
datasets: [{
label: 'Baby\'s Weight',
data: babyWeightData,
borderColor: 'var(–primary-color)',
backgroundColor: 'rgba(0, 74, 153, 0.2)',
fill: false,
tension: 0.1,
pointRadius: 5,
pointHoverRadius: 7
},
{
label: datasetLabel,
data: datasetToShow,
borderColor: 'var(–success-color)',
backgroundColor: 'rgba(40, 167, 69, 0.2)',
fill: false,
tension: 0.1,
pointRadius: 5,
pointHoverRadius: 7
}]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
title: {
display: true,
text: 'Age (Days)'
}
},
y: {
title: {
display: true,
text: 'Weight (kg)'
},
beginAtZero: true
}
},
plugins: {
tooltip: {
callbacks: {
label: function(context) {
var label = context.dataset.label || ";
if (label) {
label += ': ';
}
if (context.parsed.y !== null) {
label += context.parsed.y.toFixed(2) + ' kg';
}
return label;
}
}
},
legend: {
display: false // Using custom legend below canvas
}
}
}
});
}
// Initial calculation on page load
document.addEventListener('DOMContentLoaded', function() {
resetCalculator(); // Set defaults and calculate
// Ensure canvas element exists before trying to update chart
var canvas = document.getElementById('growthChart');
if (canvas) {
// Initialize chart with placeholder data or call updateChart directly
updateChart(parseFloat(document.getElementById("babyAgeDays").value), parseFloat(document.getElementById("babyWeightKg").value), document.getElementById("babySex").value);
} else {
console.error("Canvas element not found!");
}
});
// Add Chart.js library dynamically if not present
if (typeof Chart === 'undefined') {
var script = document.createElement('script');
script.src = 'https://cdn.jsdelivr.net/npm/chart.js';
script.onload = function() {
console.log('Chart.js loaded.');
// Re-run initial calculation after chart library is loaded
resetCalculator();
updateChart(parseFloat(document.getElementById("babyAgeDays").value), parseFloat(document.getElementById("babyWeightKg").value), document.getElementById("babySex").value);
};
document.head.appendChild(script);
} else {
// If Chart.js is already loaded, just run the initial calculation
resetCalculator();
updateChart(parseFloat(document.getElementById("babyAgeDays").value), parseFloat(document.getElementById("babyWeightKg").value), document.getElementById("babySex").value);
}