CDC Toddler Weight Calculator: Track Your Child's Growth
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CDC Toddler Weight Calculator
Growth Assessment
—
Growth percentiles and Z-scores are calculated using CDC 2000/2006 growth charts and associated statistical methods. These metrics compare your child's weight to other children of the same age and sex.
CDC Weight-for-Age Percentiles for Boys/Girls (Birth to 24 Months) – Note: Chart data approximates CDC data and may vary slightly.
| Weight-for-Age Comparison (Approximate CDC Data) |
| Age (Months) |
Weight (kg) |
Weight (lbs) |
Approximate weight data points based on selected age and sex from CDC Growth Charts.
What is the CDC Toddler Weight Calculator?
The CDC Toddler Weight Calculator is a specialized tool designed to help parents, caregivers, and healthcare professionals assess a child's weight relative to established growth standards. It utilizes data from the Centers for Disease Control and Prevention (CDC) to plot a child's weight on growth charts, providing insights into whether their weight is appropriate for their age and sex. This calculation is crucial for monitoring healthy development, identifying potential growth concerns early, and ensuring a child receives adequate nutrition.
Who Should Use the CDC Toddler Weight Calculator?
- Parents and Guardians: To gain a better understanding of their toddler's growth trajectory and discuss any concerns with their pediatrician.
- Pediatricians and Healthcare Providers: As a quick reference tool during well-child visits to assess weight status and monitor growth patterns over time.
- Childcare Providers: To identify children who might need additional nutritional support or attention.
- Researchers: For studies related to child development and nutritional health.
Common Misconceptions about Toddler Weight
It's important to understand that a single weight measurement doesn't tell the whole story. Common misconceptions include:
- Focusing on a single percentile: A child consistently tracking along a percentile curve is often considered healthy, rather than needing to be at the 50th percentile.
- Confusing weight with height: Weight should be assessed in relation to height and age. A heavier child might be perfectly healthy if they are also tall.
- Ignoring the growth trend: Rapid or sudden drops or jumps in percentile rank can be more concerning than the percentile itself.
- Comparing to other children: Every child grows differently. Comparisons should be made against the CDC growth charts, not directly to peers.
CDC Toddler Weight Calculator: Formula and Mathematical Explanation
The core of the CDC Toddler Weight Calculator involves comparing a child's weight-for-age to a reference population using statistical methods. The calculator typically determines the child's percentile rank and, in more advanced versions, the Z-score (standard deviation score). While the precise internal algorithms can be complex, the concept is straightforward:
Percentile Calculation
A percentile indicates the percentage of children of the same age and sex who weigh less than or equal to the child being measured. For example, the 75th percentile means that 75% of children of that age and sex weigh less than or equal to this child's weight.
Z-Score Calculation
The Z-score is a more precise measure that indicates how many standard deviations a child's weight is from the median weight for their age and sex.
Formula: Z = (X – M) / SD
Where:
- Z is the Z-score
- X is the child's measured weight (or other anthropometric measure)
- M is the median value for that age and sex from the reference data
- SD is the standard deviation for that age and sex from the reference data
Variable Explanations and Typical Ranges
| Variable |
Meaning |
Unit |
Typical Range (Toddlers 1-3 years) |
| Child's Age |
Age of the child in completed months. |
Months |
12 – 36 Months |
| Child's Weight |
The measured weight of the child. |
kg / lbs |
~7.5 kg (16.5 lbs) to ~15 kg (33 lbs) |
| Sex |
Biological sex of the child (Male/Female). |
Categorical |
Male or Female |
| Median Weight (M) |
The weight at the 50th percentile for the given age and sex. |
kg / lbs |
Varies by age and sex |
| Standard Deviation (SD) |
Measure of weight variability for the given age and sex. |
kg / lbs |
Varies by age and sex |
| Percentile Rank |
Percentage of children weighing less than or equal to the child's weight. |
% |
0 – 100 |
| Z-Score |
Number of standard deviations from the median weight. |
Unitless |
Varies, but typically within -2 to +2 for healthy growth. |
Key variables used in the CDC Toddler Weight Calculator and their typical ranges.
Practical Examples (Real-World Use Cases)
Example 1: Healthy Growth Tracking
Scenario: A parent brings their 24-month-old son to a check-up. He weighs 12.5 kg (27.56 lbs). The pediatrician inputs these values into the calculator.
Inputs:
- Child's Age: 24 Months
- Child's Weight: 12.5 kg (27.56 lbs)
- Sex: Male
Calculator Output:
- Primary Result: 50th Percentile
- Growth Status: Healthy Weight
- Weight for Age Z-Score: 0.0
- (Intermediate chart/table data would show comparison points)
Interpretation: This indicates the child's weight is right at the average for a 24-month-old boy according to CDC standards. This is excellent, showing consistent growth along the median. The Z-score of 0.0 further confirms this alignment.
Example 2: Weight Concern Identification
Scenario: A 30-month-old girl weighs 10.5 kg (23.15 lbs). Her parents are concerned she seems too thin. They use the calculator.
Inputs:
- Child's Age: 30 Months
- Child's Weight: 10.5 kg (23.15 lbs)
- Sex: Female
Calculator Output:
- Primary Result: 10th Percentile
- Growth Status: Below Average Weight / Monitor
- Weight for Age Z-Score: -1.3
- (Intermediate chart/table data would show comparison points)
Interpretation: The calculator shows that this little girl weighs less than 90% of girls her age according to the CDC charts. While not severely underweight (Z-score is above -2), it warrants discussion with a pediatrician to ensure adequate caloric intake and rule out any underlying issues. This result prompts further investigation into her diet and overall health.
How to Use This CDC Toddler Weight Calculator
- Enter Child's Age: Input the child's exact age in completed months.
- Enter Child's Weight: Provide the most recent accurate weight measurement in either kilograms (kg) or pounds (lbs). The calculator will handle the conversion if necessary, but it's best to use one consistent unit.
- Select Sex: Choose 'Male' or 'Female' based on the child's sex.
- Click Calculate: Press the "Calculate Growth" button.
How to Read Results:
- Primary Result (Percentile): This is the main indicator. A higher percentile means the child weighs more relative to others of the same age/sex. A lower percentile means they weigh less. Percentiles between the 5th and 95th are generally considered within the normal range.
- Growth Status: Provides a qualitative interpretation (e.g., Healthy Weight, Monitor, Potential Concern) based on established CDC guidelines and Z-score ranges.
- Weight for Age Z-Score: A numerical value indicating how far the child's weight deviates from the average. Z-scores typically range from -2 to +2 for healthy growth. Values below -2 might indicate underweight, and above +2 might indicate overweight, but context is key.
- Chart and Table: Use these to visualize where your child falls compared to standard growth curves and specific data points.
Decision-Making Guidance:
Use the results as a starting point for conversations with healthcare professionals. Do not make drastic dietary changes based solely on calculator output. If results are concerning (e.g., consistently low or high percentiles/Z-scores, significant drops/spikes), consult your pediatrician. They can provide a comprehensive assessment considering the child's overall health, feeding patterns, and development.
Key Factors That Affect Toddler Weight Results
Several factors influence a toddler's weight-for-age and the resulting percentile or Z-score. Understanding these can provide context:
- Genetics: Just like adults, children have genetic predispositions that influence their body size and frame. Some toddlers are naturally leaner or stockier.
- Nutrition and Diet: The quantity and quality of food intake are paramount. Inadequate calories can lead to lower weight, while excessive intake might lead to higher weight. Nutrient deficiencies can also impact growth. The nutritional needs of toddlers vary significantly.
- Activity Level: Toddlers are often very active. High energy expenditure can influence weight, though for most, adequate nutrition compensates.
- Illness and Health Conditions: Acute illnesses (like stomach bugs) can cause temporary weight loss. Chronic conditions, allergies, or digestive issues (e.g., Celiac disease) can significantly impact a child's ability to gain or maintain weight.
- Prematurity and Birth History: Premature babies or those born with low birth weight may follow different growth trajectories initially, often requiring specialized growth charts for premature infants.
- Hydration Levels: Dehydration can temporarily lower weight readings, while fluid retention could artificially inflate it. Accurate measurement requires the child to be properly hydrated but not excessively so.
- Measurement Accuracy: Inaccurate scales or improper weighing techniques (e.g., child moving too much, clothes on/off) can lead to misleading results.
- Developmental Stage: Toddlers experience rapid growth spurts followed by periods of slower growth. Their weight gain isn't always linear.
Frequently Asked Questions (FAQ)
What is the "CDC Toddler Weight Calculator"?
It's a tool that uses CDC data to compare a toddler's weight against the average for their age and sex, showing their growth percentile and Z-score.
Are the CDC growth charts the same for boys and girls?
No, the CDC provides separate growth charts and data sets for boys and girls, as they typically have different growth patterns and averages.
What does a percentile mean for my toddler's weight?
A percentile (e.g., 50th) means your child weighs the same as or more than that percentage of children of the same age and sex. It's a comparison, not a judgment.
My child is on the lower percentile (e.g., 5th). Is this a problem?
Not necessarily. If the child is consistently on the 5th percentile and otherwise healthy, active, and meeting developmental milestones, it might just be their natural growth pattern. However, any sudden drop in percentile warrants a discussion with a pediatrician.
My child is on the higher percentile (e.g., 90th). Should I worry about obesity?
A high percentile requires monitoring. For toddlers, weight gain often slows down relative to height gain after age 1. Focus on a balanced diet and physical activity. Consult your pediatrician to assess if intervention is needed, as obesity definitions differ for this age group compared to older children. Discussing
childhood obesity risks is important.
How often should I use this calculator?
Ideally, use it in conjunction with your pediatrician's assessments during regular check-ups (e.g., every few months for toddlers). Avoid frequent, anxious calculations at home, as weight can fluctuate.
Can this calculator diagnose medical conditions?
No, this calculator is a screening tool based on standard data. It cannot diagnose conditions like failure to thrive, malnutrition, or obesity. Always consult a healthcare professional for diagnosis and medical advice.
What is a Z-score, and why is it important?
The Z-score measures how many standard deviations your child's weight is from the average. It's a more precise measure than percentile, especially for identifying significant deviations (e.g., Z-score below -2 or above +2 may indicate underweight or overweight).
var chartInstance = null; // Global variable to hold chart instance
function kgToLbs(kg) {
return kg * 2.20462;
}
function lbsToKg(lbs) {
return lbs / 2.20462;
}
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errorElement.textContent = message;
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errorElement.textContent = "";
errorElement.style.display = "none";
}
}
function isValidNumber(value) {
return !isNaN(parseFloat(value)) && isFinite(value);
}
function calculateGrowth() {
var age = parseFloat(document.getElementById("childAge").value);
var weightKg = parseFloat(document.getElementById("childWeightKg").value);
var weightLbs = parseFloat(document.getElementById("childWeightLbs").value);
var sex = document.getElementById("sex").value;
// Clear previous errors
clearError("childAge");
clearError("childWeightKg");
clearError("childWeightLbs");
clearError("sex");
// — Input Validation —
if (!isValidNumber(age) || age <= 0) {
showError("childAge", "Please enter a valid age greater than 0 months.");
return;
}
if (!isValidNumber(weightKg) || weightKg <= 0) {
showError("childWeightKg", "Please enter a valid weight greater than 0 kg.");
return;
}
if (!isValidNumber(weightLbs) || weightLbs 0.1) { // Allow small tolerance for rounding
showError("childWeightKg", "Weight in kg and lbs do not match. Please correct one.");
showError("childWeightLbs", "Weight in kg and lbs do not match. Please correct one.");
return;
}
// Use the kg value for calculations, ensure it's the one displayed
document.getElementById("childWeightKg").value = weightKg.toFixed(2);
document.getElementById("childWeightLbs").value = kgToLbs(weightKg).toFixed(2);
// — CDC Data Approximation (Simplified for demonstration) —
// In a real-world scenario, you'd use detailed CDC tables or a library.
// This is a highly simplified approximation for ages 12-36 months.
var cdcData = {
male: {
// Age (months): [Z-Scores for Percentiles: 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, 97th]
// Approx. Weights (kg) derived from Z-scores and median data
'12': [-1.64, -1.28, -0.75, -0.13, 0.43, 1.01, 1.54, 1.88, 2.06], // Approx Median ~ 9.5 kg
'18': [-1.54, -1.18, -0.65, -0.03, 0.55, 1.13, 1.66, 2.00, 2.18], // Approx Median ~ 11.2 kg
'24': [-1.45, -1.09, -0.56, -0.05, 0.53, 1.11, 1.64, 1.98, 2.16], // Approx Median ~ 12.5 kg
'30': [-1.37, -1.01, -0.48, -0.07, 0.51, 1.09, 1.62, 1.96, 2.14], // Approx Median ~ 13.7 kg
'36': [-1.30, -0.94, -0.41, -0.09, 0.49, 1.07, 1.60, 1.94, 2.12] // Approx Median ~ 14.7 kg
},
female: {
// Age (months): [Z-Scores for Percentiles: 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, 97th]
// Approx. Weights (kg) derived from Z-scores and median data
'12': [-1.64, -1.28, -0.75, -0.13, 0.43, 1.01, 1.54, 1.88, 2.06], // Approx Median ~ 8.8 kg
'18': [-1.54, -1.18, -0.65, -0.03, 0.55, 1.13, 1.66, 2.00, 2.18], // Approx Median ~ 10.3 kg
'24': [-1.45, -1.09, -0.56, -0.05, 0.53, 1.11, 1.64, 1.98, 2.16], // Approx Median ~ 11.5 kg
'30': [-1.37, -1.01, -0.48, -0.07, 0.51, 1.09, 1.62, 1.96, 2.14], // Approx Median ~ 12.5 kg
'36': [-1.30, -0.94, -0.41, -0.09, 0.49, 1.07, 1.60, 1.94, 2.12] // Approx Median ~ 13.5 kg
}
};
var ageKey = age.toString();
var selectedSexData = cdcData[sex];
var percentileData = [];
var zScore = null;
var percentile = '–';
var status = 'N/A';
// Find closest age data, prioritize exact match, then lower age
if (selectedSexData[ageKey]) {
percentileData = selectedSexData[ageKey];
} else {
var ages = Object.keys(selectedSexData).map(Number).sort(function(a, b){ return a – b; });
var closestAge = ages[0]; // Default to first available
for (var i = 0; i < ages.length; i++) {
if (ages[i] p10WeightKg) {
// Approx SD from 10th to 90th percentile range (which covers ~1.64 SDs)
sdApprox = (p90WeightKg – p10WeightKg) / 1.64;
} else {
// Fallback SD if table data isn't ready or invalid
sdApprox = 0.15 * medianWeightKg; // Rough estimate
}
if (medianWeightKg && sdApprox > 0) {
zScore = (weightKg – medianWeightKg) / sdApprox;
// Determine percentile based on Z-score (approximate)
// This part requires a Z-table lookup or approximation function.
// For simplicity, we'll map Z-scores to approximate percentiles.
if (zScore < -2.0) percentile = '3%'; // Approximation for < 3rd percentile
else if (zScore < -1.645) percentile = '5%';
else if (zScore < -1.282) percentile = '10%';
else if (zScore < -0.674) percentile = '25%';
else if (zScore < 0.674) percentile = '50%';
else if (zScore < 1.282) percentile = '75%';
else if (zScore < 1.645) percentile = '90%';
else if (zScore 97th percentile
// Refine percentile calculation using percentileData if available (more accurate)
if (percentileData.length > 0) {
var z3 = percentileData[0], z5 = percentileData[1], z10 = percentileData[2], z25 = percentileData[3], z50 = percentileData[4], z75 = percentileData[5], z90 = percentileData[6], z95 = percentileData[7], z97 = percentileData[8];
if (zScore <= z3) percentile = "3%";
else if (zScore <= z5) percentile = "5%";
else if (zScore <= z10) percentile = "10%";
else if (zScore <= z25) percentile = "25%";
else if (zScore <= z50) percentile = "50%";
else if (zScore <= z75) percentile = "75%";
else if (zScore <= z90) percentile = "90%";
else if (zScore <= z95) percentile = "95%";
else if (zScore 97%";
}
} else {
percentile = "N/A";
zScore = null;
}
// — Determine Growth Status —
if (zScore !== null) {
if (zScore < -2.0) {
status = "Underweight";
} else if (zScore < -1.0) {
status = "Below Average Weight (Monitor)";
} else if (zScore <= 1.0) {
status = "Healthy Weight";
} else if (zScore <= 2.0) {
status = "Above Average Weight (Monitor)";
} else {
status = "Overweight";
}
} else {
status = "N/A";
}
// — Display Results —
document.getElementById("cdcPercentile").textContent = percentile;
document.getElementById("growthStatus").textContent = status;
document.getElementById("zScore").textContent = zScore !== null ? zScore.toFixed(2) : "–";
document.getElementById("primaryResult").textContent = percentile === "N/A" ? "–" : percentile.replace('%','');
if (percentile.includes('%')) {
document.getElementById("primaryResult").innerHTML += `
th`;
}
// — Update Table —
updateGrowthTable(age, weightKg, weightLbs, sex, percentileData, medianWeightKg, sdApprox);
// — Update Chart —
updateChart(age, weightKg, sex);
}
function updateGrowthTable(currentAge, currentWeightKg, currentWeightLbs, sex, percentileZScores, medianWeightKg, sdApprox) {
var tableBody = document.querySelector("#growthDataTable tbody");
tableBody.innerHTML = ""; // Clear existing rows
var agesToDisplay = [12, 18, 24, 30, 36]; // Common toddler ages
var displayAges = [];
// Add current age if not in the list and within range
if (currentAge >= 12 && currentAge <= 36 && !agesToDisplay.includes(currentAge)) {
agesToDisplay.push(currentAge);
agesToDisplay.sort(function(a, b){ return a – b; });
} else if (currentAge 36) {
// Add nearest boundaries if outside range
if (!agesToDisplay.includes(12)) agesToDisplay.unshift(12);
if (!agesToDisplay.includes(36)) agesToDisplay.push(36);
agesToDisplay.sort(function(a, b){ return a – b; });
}
// Define approximate median weights and SDs per age for table generation
var approximateGrowthData = {
male: {
'12': { medianKg: 9.5, sd: 1.1, p3: 7.8, p5: 8.1, p10: 8.5, p25: 9.1, p50: 9.5, p75: 9.9, p90: 10.3, p95: 10.6, p97: 10.8 },
'18': { medianKg: 11.2, sd: 1.3, p3: 9.2, p5: 9.6, p10: 10.1, p25: 10.7, p50: 11.2, p75: 11.8, p90: 12.3, p95: 12.7, p97: 13.0 },
'24': { medianKg: 12.5, sd: 1.5, p3: 10.3, p5: 10.8, p10: 11.4, p25: 12.1, p50: 12.5, p75: 13.1, p90: 13.7, p95: 14.2, p97: 14.5 },
'30': { medianKg: 13.7, sd: 1.6, p3: 11.2, p5: 11.7, p10: 12.3, p25: 13.0, p50: 13.7, p75: 14.4, p90: 15.0, p95: 15.5, p97: 15.8 },
'36': { medianKg: 14.7, sd: 1.7, p3: 12.1, p5: 12.6, p10: 13.2, p25: 13.9, p50: 14.7, p75: 15.5, p90: 16.2, p95: 16.8, p97: 17.1 }
},
female: {
'12': { medianKg: 8.8, sd: 1.0, p3: 7.1, p5: 7.4, p10: 7.8, p25: 8.3, p50: 8.8, p75: 9.3, p90: 9.7, p95: 10.0, p97: 10.2 },
'18': { medianKg: 10.3, sd: 1.2, p3: 8.4, p5: 8.8, p10: 9.3, p25: 9.8, p50: 10.3, p75: 10.9, p90: 11.4, p95: 11.8, p97: 12.0 },
'24': { medianKg: 11.5, sd: 1.3, p3: 9.3, p5: 9.7, p10: 10.3, p25: 10.9, p50: 11.5, p75: 12.1, p90: 12.7, p95: 13.1, p97: 13.4 },
'30': { medianKg: 12.5, sd: 1.4, p3: 10.1, p5: 10.6, p10: 11.2, p25: 11.8, p50: 12.5, p75: 13.2, p90: 13.8, p95: 14.3, p97: 14.6 },
'36': { medianKg: 13.5, sd: 1.5, p3: 11.0, p5: 11.5, p10: 12.1, p25: 12.8, p50: 13.5, p75: 14.2, p90: 14.9, p95: 15.4, p97: 15.7 }
}
};
var sexGrowthData = approximateGrowthData[sex];
agesToDisplay.forEach(function(ageVal) {
var ageStr = ageVal.toString();
var data = sexGrowthData[ageStr];
var row = tableBody.insertRow();
var cellAge = row.insertCell();
cellAge.textContent = ageVal;
var cellWeightKg = row.insertCell();
cellWeightKg.textContent = data ? data.p50.toFixed(2) : "–";
var cellWeightLbs = row.insertCell();
cellWeightLbs.textContent = data ? kgToLbs(data.p50).toFixed(2) : "–";
// Add percentile columns for context
if (data) {
var cellP10Kg = row.insertCell(); cellP10Kg.textContent = data.p10.toFixed(2);
var cellP90Kg = row.insertCell(); cellP90Kg.textContent = data.p90.toFixed(2);
// Highlight current age and weight if it matches
if (ageVal === currentAge && data.p50 === medianWeightKg) {
cellAge.style.backgroundColor = "#fff3cd"; // Light yellow highlight
cellWeightKg.style.backgroundColor = "#fff3cd";
cellWeightLbs.style.backgroundColor = "#fff3cd";
} else if (ageVal === currentAge) {
// Highlight if current weight falls between 10th and 90th percentile
if (currentWeightKg > data.p10 && currentWeightKg < data.p90) {
cellAge.style.backgroundColor = "#d4edda"; // Light green highlight
cellWeightKg.style.backgroundColor = "#d4edda";
cellWeightLbs.style.backgroundColor = "#d4edda";
} else if (currentWeightKg p90
cellAge.style.backgroundColor = "#f5c6cb"; // Slightly darker red
cellWeightKg.style.backgroundColor = "#f5c6cb";
cellWeightLbs.style.backgroundColor = "#f5c6cb";
}
}
}
});
// Add a header row for percentile context if not already present
if (document.querySelector("#growthDataTable th[colspan='3′]")) {
var headerRow = document.querySelector("#growthDataTable thead tr");
var newHeader1 = document.createElement('th');
newHeader1.textContent = "10th %ile (kg)";
var newHeader2 = document.createElement('th');
newHeader2.textContent = "90th %ile (kg)";
headerRow.appendChild(newHeader1);
headerRow.appendChild(newHeader2);
}
// Adjust subsequent rows if headers were added dynamically
var dataRows = tableBody.rows;
for (var i = 0; i < dataRows.length; i++) {
if (dataRows[i].cells.length < 5) { // If percentile columns were not added yet
var cells = dataRows[i].cells;
var p10Cell = document.createElement('td');
var p90Cell = document.createElement('td');
var ageVal = parseInt(cells[0].textContent);
var ageStr = ageVal.toString();
var data = sexGrowthData[ageStr];
if (data) {
p10Cell.textContent = data.p10.toFixed(2);
p90Cell.textContent = data.p90.toFixed(2);
} else {
p10Cell.textContent = "–";
p90Cell.textContent = "–";
}
dataRows[i].appendChild(p10Cell);
dataRows[i].appendChild(p90Cell);
}
}
}
function updateChart(currentAge, currentWeightKg, sex) {
var ctx = document.getElementById('growthChart').getContext('2d');
// Destroy previous chart instance if it exists
if (chartInstance) {
chartInstance.destroy();
}
// Define approximate CDC data points for chart
// Ages (months) and corresponding weights (kg) for selected percentiles
var chartData = {
male: {
ages: [12, 18, 24, 30, 36],
percentiles: {
'3': [7.8, 9.2, 10.3, 11.2, 12.1], // Approx 3rd percentile kg
'10': [8.5, 10.1, 11.4, 12.3, 13.2], // Approx 10th percentile kg
'50': [9.5, 11.2, 12.5, 13.7, 14.7], // Approx 50th percentile kg (Median)
'90': [10.3, 12.3, 13.7, 15.0, 16.2], // Approx 90th percentile kg
'97': [10.8, 13.0, 14.5, 15.8, 17.1] // Approx 97th percentile kg
}
},
female: {
ages: [12, 18, 24, 30, 36],
percentiles: {
'3': [7.1, 8.4, 9.3, 10.1, 11.0],
'10': [7.8, 9.3, 10.3, 11.2, 12.1],
'50': [8.8, 10.3, 11.5, 12.5, 13.5], // Median
'90': [9.7, 11.4, 12.7, 13.8, 14.9],
'97': [10.2, 12.0, 13.4, 14.6, 15.7]
}
}
};
var selectedChartData = chartData[sex];
var labels = selectedChartData.ages;
var datasets = [];
// Add percentile datasets
for (var p in selectedChartData.percentiles) {
datasets.push({
label: p + 'th Percentile',
data: selectedChartData.percentiles[p],
borderColor: p === '50' ? '#004a99' : '#adb5bd', // Primary color for median
backgroundColor: p === '50' ? 'rgba(0, 74, 153, 0.1)' : 'rgba(173, 181, 189, 0.1)',
fill: p === '50' ? '+1' : false, // Fill to the next dataset (median)
tension: 0.1,
pointRadius: p === '50' ? 4 : 2,
pointHoverRadius: p === '50' ? 6 : 4
});
}
// Add current child's data point
datasets.push({
label: 'Child\'s Weight',
data: [currentAge, currentWeightKg], // Single point [age, weight]
borderColor: '#28a745', // Success color
backgroundColor: '#28a745',
fill: false,
tension: 0,
pointRadius: 6,
pointHoverRadius: 8,
showLine: false // Don't draw a line for a single point
});
// Update chart caption based on sex
var chartCaptionElement = document.getElementById('chartCaption');
var sexLabel = sex === 'male' ? 'Boys' : 'Girls';
chartCaptionElement.textContent = 'CDC Weight-for-Age Percentiles (' + sexLabel + ') ' + labels[0] + '-' + labels[labels.length-1] + ' Months – Approximate Data.';
chartInstance = new Chart(ctx, {
type: 'line',
data: {
labels: labels,
datasets: datasets
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
title: {
display: true,
text: 'Age (Months)'
},
min: 12, // Start x-axis at 12 months
max: 36 // End x-axis at 36 months
},
y: {
title: {
display: true,
text: 'Weight (kg)'
},
beginAtZero: false // Start y-axis appropriately
}
},
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';
}
// Add age for the child's point
if (context.dataset.label === 'Child\'s Weight' && context.parsed.x !== null) {
label = 'Age: ' + context.parsed.x + ' Months, Weight: ' + context.parsed.y.toFixed(2) + ' kg';
}
return label;
}
}
},
legend: {
position: 'top',
}
}
}
});
}
function resetCalculator() {
document.getElementById("childAge").value = "24";
document.getElementById("childWeightKg").value = "12.5";
document.getElementById("childWeightLbs").value = "27.56";
document.getElementById("sex").value = "male";
// Clear errors
clearError("childAge");
clearError("childWeightKg");
clearError("childWeightLbs");
clearError("sex");
// Reset results
document.getElementById("cdcPercentile").textContent = "–";
document.getElementById("growthStatus").textContent = "–";
document.getElementById("zScore").textContent = "–";
document.getElementById("primaryResult").innerHTML = "–";
// Reset table and chart (call calculate to repopulate with defaults)
calculateGrowth();
}
function copyResults() {
var primaryResult = document.getElementById("primaryResult").innerText.trim();
var percentile = document.getElementById("cdcPercentile").innerText.trim();
var status = document.getElementById("growthStatus").innerText.trim();
var zScore = document.getElementById("zScore").innerText.trim();
var age = document.getElementById("childAge").value;
var weightKg = document.getElementById("childWeightKg").value;
var weightLbs = document.getElementById("childWeightLbs").value;
var sex = document.getElementById("sex").value;
var assumptions = [
"Child's Age: " + age + " months",
"Child's Weight: " + weightKg + " kg (" + weightLbs + " lbs)",
"Child's Sex: " + sex.charAt(0).toUpperCase() + sex.slice(1)
];
var resultText = "— Growth Assessment Results —\n\n";
resultText += "Primary Result: " + primaryResult + "\n";
resultText += "CDC Percentile: " + percentile + "\n";
resultText += "Growth Status: " + status + "\n";
resultText += "Weight for Age Z-Score: " + zScore + "\n\n";
resultText += "— Key Assumptions —\n";
resultText += assumptions.join("\n");
try {
navigator.clipboard.writeText(resultText).then(function() {
// Optionally provide feedback to the user
var copyButton = document.querySelector('.copy-button');
copyButton.textContent = 'Copied!';
setTimeout(function() {
copyButton.textContent = 'Copy Results';
}, 2000);
}, 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 results manually.');
}
}
// Initial calculation on page load
document.addEventListener('DOMContentLoaded', function() {
// Ensure Chart.js is loaded before trying to use it
if (typeof Chart !== 'undefined') {
calculateGrowth(); // Perform initial calculation and chart render
} else {
// Fallback or error message if Chart.js is not included
console.error("Chart.js library not found. Chart will not render.");
document.getElementById('growthChart').style.display = 'none'; // Hide canvas if chart lib missing
document.getElementById('chartCaption').textContent = 'Chart data requires Chart.js library.';
}
// Setup input listeners for real-time updates
var form = document.getElementById('cdcWeightForm');
var inputs = form.querySelectorAll('input, select');
inputs.forEach(function(input) {
input.addEventListener('input', calculateGrowth);
});
});