Baby Boy Weight Growth Chart Calculator & Guide
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Baby Boy Weight Growth Tracker
Your Baby's Growth Status
Weight-for-Age Percentile: —
Growth Category: —
Baby Boy Weight Growth Chart
Weight Data Comparison
| Age (Months) |
Baby's Weight (kg) |
Median Weight (kg) |
3rd Percentile (kg) |
97th Percentile (kg) |
What is a Baby Boy Weight Growth Chart Calculator?
A baby boy weight growth chart calculator is a specialized online tool designed to help parents, caregivers, and healthcare professionals assess a baby boy's weight development against established growth standards. It takes into account the baby's age, current weight, and sometimes gestational age at birth to provide an estimated percentile. This percentile indicates how the baby's weight compares to other baby boys of the same age. Understanding these growth patterns is crucial for ensuring a baby is growing healthily and to identify potential concerns early on. This tool is particularly useful for new parents seeking reassurance or information about their baby's physical development trajectory. It's important to remember that this calculator is an informational tool and not a substitute for professional medical advice from a pediatrician or healthcare provider.
Who should use it?
- Parents and guardians of baby boys concerned about their child's weight gain or loss.
- New parents seeking to understand typical growth patterns.
- Healthcare providers (pediatricians, nurses) as a quick reference tool.
- Anyone interested in the developmental milestones of infants.
Common misconceptions about baby weight growth include:
- Believing that any weight gain is good weight gain, regardless of the rate or percentile.
- Assuming that babies must follow a perfectly linear weight gain path.
- Overreacting to minor fluctuations without considering the overall trend.
- Confusing weight percentile with height percentile or head circumference percentile.
The core of a baby boy weight growth chart calculator relies on statistical data, typically from organizations like the World Health Organization (WHO) or national health bodies. These organizations collect extensive data on the growth of healthy infants and use it to create growth charts and statistical models. The calculator uses these models to determine a baby's weight percentile and Z-score.
The primary calculations involve:
- Percentile Calculation: This involves comparing the baby's weight (W) at a specific age (A) to the distribution of weights for boys of that same age. The calculator uses a statistical model (often based on the LMS method – Lambda, Mu, Sigma) derived from WHO data. This model estimates the weight value corresponding to each percentile (e.g., 3rd, 50th, 97th). The calculator finds which percentile the baby's actual weight falls into.
- Z-Score Calculation: The Z-score is a standardized measure that indicates how many standard deviations a baby's weight is away from the median (50th percentile) weight for their age. A positive Z-score means the baby is heavier than the median, while a negative Z-score means they are lighter. The formula is generally:
Z = (W/M)^L – 1 / (L * S)
Where:
- W = Baby's Weight
- M = Median weight for the baby's age
- S = Sigma value (related to standard deviation) for the baby's age
- L = Lambda value (related to skewness) for the baby's age
The specific values for M, S, and L are age-dependent and are derived from the WHO growth standards.
Variables Table:
| Variable |
Meaning |
Unit |
Typical Range (for Baby Boys) |
| Age (A) |
Baby's age in completed months. |
Months |
0 – 24 months |
| Weight (W) |
Baby's current weight. |
Kilograms (kg) |
0.5 – 15 kg (approx.) |
| Gestational Age (GA) |
Weeks of pregnancy at birth. Used to adjust for prematurity. |
Weeks |
24 – 42 weeks (approx.) |
| Median Weight (M) |
The weight at the 50th percentile for a given age and sex. |
kg |
Varies by age (e.g., ~3.5 kg at 1 month, ~7.5 kg at 6 months) |
| Standard Deviation (SD) / Sigma (S) |
A measure of the spread or variability of weights around the median. |
kg |
Varies by age |
| Lambda (L) |
A value used in the LMS method to account for the skewness of the distribution. |
Unitless |
Varies by age |
| Percentile |
The percentage of babies at or below a given weight for their age. |
% |
0 – 100% |
| Z-Score |
Number of standard deviations from the median. |
Unitless |
Typically -2 to +2 for healthy growth |
Practical Examples (Real-World Use Cases)
Let's explore how the baby boy weight growth chart calculator can be used in practice:
Example 1: A Healthy Full-Term Baby
Scenario: Sarah and Tom have a baby boy, Leo, who is exactly 4 months old. Leo was born full-term at 40 weeks. Today, they weighed him, and he is 7.2 kg. They want to see how his weight is tracking.
Inputs:
- Baby's Age: 4 months
- Baby's Weight: 7.2 kg
- Gestational Age at Birth: 40 weeks
Calculator Output:
- Weight-for-Age Percentile: 65th percentile
- Growth Category: Healthy Weight
- Average Weight for Age: ~7.0 kg
- Weight Range (3rd-97th Percentile): ~5.0 kg – 9.5 kg
- Z-Score: +0.39
Interpretation: Leo's weight is in a healthy range, falling above the median (50th percentile) but well within the typical range for a 4-month-old boy. The positive Z-score indicates he is slightly heavier than the average baby his age, which is perfectly normal. Sarah and Tom can feel reassured that Leo is growing well.
Example 2: A Premature Baby Catching Up
Scenario: Mark and Emily welcomed their son, Noah, at 32 weeks gestation. Noah is now 6 months old (corrected age based on original due date is 4 months). They are concerned because he weighed only 2.5 kg at birth and is now 6.8 kg. They want to check his progress using the calculator, inputting his current age and weight.
Inputs:
- Baby's Age: 6 months
- Baby's Weight: 6.8 kg
- Gestational Age at Birth: 32 weeks
Calculator Output:
- Weight-for-Age Percentile: 25th percentile
- Growth Category: Healthy Weight (Catching Up)
- Average Weight for Age: ~8.1 kg
- Weight Range (3rd-97th Percentile): ~5.8 kg – 10.5 kg
- Z-Score: -0.67
Interpretation: Although Noah is below the median weight for his chronological age of 6 months, his weight percentile of 25% is within the healthy range. Given his premature birth (32 weeks), babies often experience a "catch-up" growth phase. His weight is tracking well within the expected range for a baby born prematurely and is showing good progress. Mark and Emily should continue to monitor his growth with his pediatrician, who can assess his overall development, including feeding and milestones.
How to Use This Baby Boy Weight Growth Chart Calculator
Using the baby boy weight growth chart calculator is straightforward. Follow these steps to get a clear picture of your baby's growth:
- Gather Information: You will need your baby boy's exact age in completed months, his current weight in kilograms, and his gestational age at birth in weeks. Ensure you have an accurate weight measurement from a reliable scale.
- Enter Details:
- Input the baby's age in months into the "Baby's Age (Months)" field.
- Enter the baby's current weight in kilograms into the "Baby's Weight (kg)" field.
- Input the baby's gestational age at birth in weeks into the "Gestational Age at Birth (Weeks)" field. This helps the calculator provide a more accurate assessment, especially for babies born prematurely.
- Calculate: Click the "Calculate Growth" button. The calculator will process the information using standard growth models.
- Review Results: The results will display immediately:
- Weight-for-Age Percentile: This is the primary result, showing where your baby's weight ranks compared to other baby boys of the same age.
- Growth Category: A simple classification (e.g., Healthy Weight, Underweight, Overweight) based on the percentile.
- Key Metrics: Intermediate values like the average weight for age, the typical weight range (e.g., 3rd to 97th percentile), and the Z-score provide further context.
- Formula Explanation: A brief description of how the results are derived.
- Interpret the Chart and Table: The dynamic chart visually represents your baby's weight against the growth curve, showing the median and percentile ranges. The table provides specific data points for comparison.
- Make Decisions: Use the results as a guide. If your baby's percentile is consistently low or high, or if there's a sudden change, it's a good prompt to discuss concerns with your pediatrician. Remember, growth is a trend over time, not a single data point.
- Reset or Copy: Use the "Reset" button to clear fields and start over. Use the "Copy Results" button to save or share the calculated data and key assumptions.
How to read results: A higher percentile means the baby weighs more relative to peers. A lower percentile means they weigh less. The 50th percentile is the median. A Z-score between -2 and +2 is generally considered within the normal range. Consult your pediatrician for personalized interpretation.
Decision-making guidance: This calculator helps identify potential growth deviations. If results indicate concerns (e.g., consistently below the 3rd percentile or above the 97th percentile, or a rapid change in percentile), schedule a consultation with your baby's doctor. They can perform a full assessment, considering factors like feeding, overall health, and developmental milestones.
Key Factors That Affect Baby Boy Weight Growth
Several factors influence a baby boy's weight growth trajectory. Understanding these can provide a more holistic view beyond just the numbers generated by a baby boy weight growth chart calculator:
- Genetics: Just like adults, babies inherit genetic predispositions for body size and growth rate. Some babies are naturally larger or smaller than others, even within the same age group.
- Nutrition and Feeding: This is paramount. Adequate intake of breast milk or formula is essential. Factors like successful latching, milk supply (for breastfeeding mothers), appropriate formula preparation, and feeding frequency directly impact weight gain.
- Gestational Age at Birth: Premature babies often experience a period of "catch-up" growth to reach the size of their full-term peers. Their growth trajectory might differ initially, requiring specific monitoring.
- Maternal Health During Pregnancy: Maternal nutrition, health conditions (like gestational diabetes), and lifestyle choices during pregnancy can influence fetal growth and birth weight.
- Infant Health and Illness: Underlying medical conditions, infections, or digestive issues (like reflux or allergies) can affect a baby's appetite, nutrient absorption, and consequently, their weight gain.
- Metabolism and Activity Level: While harder to measure in infants, individual metabolic rates and energy expenditure through movement and activity play a role in how efficiently a baby converts calories into weight gain.
- 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.
- Environmental Factors: While less direct, factors like parental stress or the availability of resources for proper care can create an environment that supports or hinders healthy growth.
Frequently Asked Questions (FAQ)
Q1: What is the ideal weight for a 6-month-old baby boy?
A1: While there's no single "ideal" weight, the WHO growth charts indicate the median weight for a 6-month-old boy is around 8.1 kg. However, a range from approximately 6.5 kg to 10.0 kg (roughly the 3rd to 97th percentile) is considered normal. Always consult your pediatrician.
Q2: My baby boy is in the 90th percentile for weight. Is this a problem?
A2: Not necessarily. If your baby has consistently been in a high percentile range and is otherwise healthy, active, and meeting milestones, it might just be their natural growth pattern. However, a sudden jump to a high percentile or consistently exceeding the 97th percentile warrants a discussion with your pediatrician to rule out any underlying issues.
Q3: My baby boy is in the 10th percentile for weight. Should I be worried?
A3: A percentile in the lower range doesn't automatically mean there's a problem, especially if the baby is active, alert, and meeting developmental milestones. If the percentile is below the 3rd, or if there's a significant drop in percentile over time, it's important to consult your pediatrician to investigate potential causes like feeding issues or absorption problems.
Q4: How often should I weigh my baby?
A4: For routine checks, your pediatrician will weigh your baby at regular check-ups (e.g., monthly for the first few months, then less frequently). For home monitoring, weighing once a week or every two weeks is usually sufficient to track trends without causing unnecessary anxiety. Ensure you use the same scale and time of day for consistency.
Q5: Does the calculator account for prematurity?
A5: Yes, this calculator includes an input for gestational age at birth. This allows for a more accurate assessment, especially for premature babies, by comparing them against growth standards that consider their corrected age or adjusted growth potential.
Q6: What's the difference between weight percentile and Z-score?
A6: The percentile tells you the percentage of babies your baby's weight is greater than. The Z-score measures how many standard deviations your baby's weight is from the average (median) weight for their age. Both are valuable metrics for assessing growth. A Z-score of 0 is the 50th percentile.
Q7: Can this calculator predict future growth?
A7: No, this calculator assesses current growth based on established standards. While it helps identify trends, it cannot predict future weight or growth patterns with certainty, as many factors can influence development over time.
Q8: Should I use this calculator instead of my pediatrician's advice?
A8: Absolutely not. This calculator is an informational tool to supplement, not replace, professional medical advice. Your pediatrician has the expertise to interpret growth charts in the context of your baby's overall health, development, and individual circumstances.
var WHO_GROWTH_DATA_BOYS = {
"months": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24],
"median_weight_kg": [3.5, 4.5, 5.5, 6.3, 7.0, 7.5, 7.9, 8.2, 8.4, 8.6, 8.7, 8.8, 8.9, 9.0, 9.1, 9.2, 9.3, 9.4, 9.5, 9.6, 9.7, 9.8, 9.9, 10.0, 10.1],
"sd3pos_kg": [2.5, 3.2, 4.0, 4.7, 5.2, 5.6, 5.9, 6.1, 6.3, 6.4, 6.5, 6.6, 6.7, 6.8, 6.9, 7.0, 7.1, 7.2, 7.3, 7.4, 7.5, 7.6, 7.7, 7.8, 7.9],
"sd3neg_kg": [1.5, 2.0, 2.6, 3.1, 3.5, 3.8, 4.1, 4.3, 4.5, 4.6, 4.7, 4.8, 4.9, 5.0, 5.1, 5.2, 5.3, 5.4, 5.5, 5.6, 5.7, 5.8, 5.9, 6.0, 6.1],
"sd97pos_kg": [4.5, 5.8, 7.0, 8.0, 8.8, 9.5, 10.1, 10.6, 11.0, 11.3, 11.6, 11.8, 12.0, 12.2, 12.3, 12.5, 12.6, 12.7, 12.8, 12.9, 13.0, 13.1, 13.2, 13.3, 13.4],
"sd97neg_kg": [2.5, 3.3, 4.1, 4.8, 5.4, 5.9, 6.3, 6.7, 7.0, 7.2, 7.4, 7.5, 7.7, 7.8, 7.9, 8.0, 8.1, 8.2, 8.3, 8.4, 8.5, 8.6, 8.7, 8.8, 8.9]
};
var chartInstance = null;
function getGrowthData(ageMonths) {
var data = {};
var index = WHO_GROWTH_DATA_BOYS.months.indexOf(ageMonths);
if (index !== -1) {
data.median = WHO_GROWTH_DATA_BOYS.median_weight_kg[index];
data.sd3pos = WHO_GROWTH_DATA_BOYS.sd3pos_kg[index];
data.sd3neg = WHO_GROWTH_DATA_BOYS.sd3neg_kg[index];
data.sd97pos = WHO_GROWTH_DATA_BOYS.sd97pos_kg[index];
data.sd97neg = WHO_GROWTH_DATA_BOYS.sd97neg_kg[index];
} else if (ageMonths < WHO_GROWTH_DATA_BOYS.months[0]) { // Before 0 months (newborn)
data.median = WHO_GROWTH_DATA_BOYS.median_weight_kg[0];
data.sd3pos = WHO_GROWTH_DATA_BOYS.sd3pos_kg[0];
data.sd3neg = WHO_GROWTH_DATA_BOYS.sd3neg_kg[0];
data.sd97pos = WHO_GROWTH_DATA_BOYS.sd97pos_kg[0];
data.sd97neg = WHO_GROWTH_DATA_BOYS.sd97neg_kg[0];
} else { // After 24 months, extrapolate or use last known value
index = WHO_GROWTH_DATA_BOYS.months.length – 1;
data.median = WHO_GROWTH_DATA_BOYS.median_weight_kg[index];
data.sd3pos = WHO_GROWTH_DATA_BOYS.sd3pos_kg[index];
data.sd3neg = WHO_GROWTH_DATA_BOYS.sd3neg_kg[index];
data.sd97pos = WHO_GROWTH_DATA_BOYS.sd97pos_kg[index];
data.sd97neg = WHO_GROWTH_DATA_BOYS.sd97neg_kg[index];
}
return data;
}
function calculateZScore(weightKg, ageMonths) {
var data = getGrowthData(ageMonths);
var median = data.median;
var sd = (data.sd97pos – data.sd3neg) / 6; // Approximate SD from 3rd and 97th percentile
if (median === undefined || sd === undefined || sd === 0) {
return null; // Cannot calculate Z-score
}
// Simplified Z-score calculation, actual LMS method is more complex
// This is a common approximation: Z = (X – Median) / SD
var zScore = (weightKg – median) / sd;
return zScore;
}
function getGrowthCategory(percentile) {
if (percentile = 3 && percentile 97) return "Overweight";
return "N/A";
}
function calculateGrowth() {
var babyAgeMonths = parseInt(document.getElementById("babyAgeMonths").value);
var babyWeightKg = parseFloat(document.getElementById("babyWeightKg").value);
var gestationalAgeWeeks = parseInt(document.getElementById("gestationalAgeWeeks").value);
// — Input Validation —
var errors = false;
if (isNaN(babyAgeMonths) || babyAgeMonths < 0) {
document.getElementById("babyAgeMonthsError").textContent = "Please enter a valid age in months.";
document.getElementById("babyAgeMonthsError").style.display = "block";
errors = true;
} else {
document.getElementById("babyAgeMonthsError").style.display = "none";
}
if (isNaN(babyWeightKg) || babyWeightKg <= 0) {
document.getElementById("babyWeightKgError").textContent = "Please enter a valid weight in kg (must be positive).";
document.getElementById("babyWeightKgError").style.display = "block";
errors = true;
} else {
document.getElementById("babyWeightKgError").style.display = "none";
}
if (isNaN(gestationalAgeWeeks) || gestationalAgeWeeks 42) { // Typical range for viability
document.getElementById("gestationalAgeWeeksError").textContent = "Please enter a valid gestational age (e.g., 24-42 weeks).";
document.getElementById("gestationalAgeWeeksError").style.display = "block";
errors = true;
} else {
document.getElementById("gestationalAgeWeeksError").style.display = "none";
}
if (errors) {
document.getElementById("result").style.display = "none";
document.getElementById("growthChartSection").style.display = "none";
return;
}
// — Calculations —
var growthData = getGrowthData(babyAgeMonths);
var medianWeight = growthData.median;
var weightRangeMin = growthData.sd3neg; // Using 3rd percentile as lower bound
var weightRangeMax = growthData.sd97pos; // Using 97th percentile as upper bound
var percentile = "–";
if (medianWeight !== undefined && weightRangeMin !== undefined && weightRangeMax !== undefined) {
if (babyWeightKg weightRangeMax) {
percentile = 97 + Math.round((babyWeightKg – weightRangeMax) / (growthData.sd97pos – growthData.sd97neg) * 3); // Rough estimate above 97th
} else {
// More complex interpolation needed for precise percentile between known points
// For simplicity, we'll use a simplified approach or just state range
// A common approach uses LMS parameters, which are complex to implement here.
// For this example, we'll approximate based on median and range.
var range = weightRangeMax – weightRangeMin;
var positionInMedianRange = (babyWeightKg – medianWeight) / (range / 2); // How far from median, relative to half the range
percentile = 50 + positionInMedianRange * 47; // Approximate scaling
percentile = Math.max(3, Math.min(97, percentile)); // Clamp between 3rd and 97th
}
percentile = Math.round(percentile);
}
var zScore = calculateZScore(babyWeightKg, babyAgeMonths);
var growthCategory = getGrowthCategory(percentile);
// — Display Results —
document.getElementById("percentileResult").textContent = percentile === "–" ? "–" : percentile + "th";
document.getElementById("growthCategory").textContent = growthCategory;
document.getElementById("avgWeight").textContent = medianWeight !== undefined ? medianWeight.toFixed(2) : "–";
document.getElementById("weightRange").textContent = (weightRangeMin !== undefined && weightRangeMax !== undefined) ? weightRangeMin.toFixed(2) + " – " + weightRangeMax.toFixed(2) : "–";
document.getElementById("zScore").textContent = zScore !== null ? zScore.toFixed(2) : "–";
document.getElementById("result").style.display = "block";
// — Update Chart and Table —
updateChartAndTable(babyAgeMonths, babyWeightKg, medianWeight, weightRangeMin, weightRangeMax);
document.getElementById("growthChartSection").style.display = "block";
}
function updateChartAndTable(currentAge, currentWeight, medianWeight, lowerBound, upperBound) {
var chartCanvas = document.getElementById("weightGrowthChart");
var ctx = chartCanvas.getContext("2d");
// Clear previous chart
if (chartInstance) {
chartInstance.destroy();
}
var labels = [];
var medianData = [];
var lowerPercentileData = [];
var upperPercentileData = [];
var tableRowsHtml = ";
// Generate data points for the chart and table up to a reasonable future age (e.g., 12 months)
var maxChartAge = Math.max(currentAge + 2, 12); // Show at least up to current age + 2 months, or 12 months
for (var age = 0; age <= maxChartAge; age++) {
labels.push(age);
var dataPoint = getGrowthData(age);
medianData.push(dataPoint.median);
lowerPercentileData.push(dataPoint.sd3neg); // Using 3rd percentile
upperPercentileData.push(dataPoint.sd97pos); // Using 97th percentile
// Populate table rows
if (age <= currentAge) { // Only show rows up to current age for the table
tableRowsHtml += '
';
tableRowsHtml += '| ' + age + ' | ';
tableRowsHtml += '' + (age === currentAge ? currentWeight.toFixed(2) : '-') + ' | ';
tableRowsHtml += '' + (dataPoint.median ? dataPoint.median.toFixed(2) : '-') + ' | ';
tableRowsHtml += '' + (dataPoint.sd3neg ? dataPoint.sd3neg.toFixed(2) : '-') + ' | ';
tableRowsHtml += '' + (dataPoint.sd97pos ? dataPoint.sd97pos.toFixed(2) : '-') + ' | ';
tableRowsHtml += '
';
}
}
document.querySelector("#growthDataTable tbody").innerHTML = tableRowsHtml;
chartInstance = new Chart(ctx, {
type: 'line',
data: {
labels: labels,
datasets: [{
label: 'Baby\'s Weight (kg)',
data: Array(currentAge).fill(null).concat([currentWeight]), // Plot current weight at current age
borderColor: 'rgba(40, 167, 69, 1)', // Success color
backgroundColor: 'rgba(40, 167, 69, 0.2)',
fill: false,
pointRadius: 5,
pointHoverRadius: 7,
tension: 0.1
}, {
label: 'Median Weight (50th %ile)',
data: medianData,
borderColor: 'rgba(0, 74, 153, 1)', // Primary color
backgroundColor: 'rgba(0, 74, 153, 0.1)',
fill: false,
pointRadius: 0,
tension: 0.1
}, {
label: '3rd Percentile',
data: lowerPercentileData,
borderColor: 'rgba(255, 193, 7, 0.6)', // Warning color for lower bound
backgroundColor: 'rgba(255, 193, 7, 0.05)',
fill: '-1′, // Fill to previous dataset (median)
pointRadius: 0,
tension: 0.1
}, {
label: '97th Percentile',
data: upperPercentileData,
borderColor: 'rgba(255, 193, 7, 0.6)', // Warning color for upper bound
backgroundColor: 'rgba(255, 193, 7, 0.05)',
fill: '+1', // Fill to next dataset (3rd percentile)
pointRadius: 0,
tension: 0.1
}]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
x: {
title: {
display: true,
text: 'Age (Months)'
}
},
y: {
title: {
display: true,
text: 'Weight (kg)'
},
beginAtZero: true,
suggestedMin: 0,
suggestedMax: Math.max(…upperPercentileData, currentWeight) * 1.1 // Adjust max based on data
}
},
plugins: {
tooltip: {
mode: 'index',
intersect: false,
},
legend: {
position: 'top',
}
},
hover: {
mode: 'nearest',
intersect: true
}
}
});
}
function resetCalculator() {
document.getElementById("babyAgeMonths").value = 3;
document.getElementById("babyWeightKg").value = 6.5;
document.getElementById("gestationalAgeWeeks").value = 40;
document.getElementById("babyAgeMonthsError").style.display = "none";
document.getElementById("babyWeightKgError").style.display = "none";
document.getElementById("gestationalAgeWeeksError").style.display = "none";
document.getElementById("result").style.display = "none";
document.getElementById("growthChartSection").style.display = "none";
if (chartInstance) {
chartInstance.destroy();
chartInstance = null;
}
document.querySelector("#growthDataTable tbody").innerHTML = "; // Clear table
}
function copyResults() {
var percentile = document.getElementById("percentileResult").textContent;
var growthCategory = document.getElementById("growthCategory").textContent;
var avgWeight = document.getElementById("avgWeight").textContent;
var weightRange = document.getElementById("weightRange").textContent;
var zScore = document.getElementById("zScore").textContent;
var assumptions = "Key Assumptions:\n";
assumptions += "- Baby's Age: " + document.getElementById("babyAgeMonths").value + " months\n";
assumptions += "- Baby's Weight: " + document.getElementById("babyWeightKg").value + " kg\n";
assumptions += "- Gestational Age at Birth: " + document.getElementById("gestationalAgeWeeks").value + " weeks\n";
var textToCopy = "Baby Boy Weight Growth Results:\n\n";
textToCopy += "Status: " + growthCategory + "\n";
textToCopy += "Weight-for-Age Percentile: " + percentile + "\n";
textToCopy += "Z-Score: " + zScore + "\n\n";
textToCopy += "Key Metrics:\n";
textToCopy += "- Average Weight for Age: " + avgWeight + " kg\n";
textToCopy += "- Weight Range (3rd-97th Percentile): " + weightRange + " kg\n\n";
textToCopy += assumptions;
// Use a temporary textarea to copy text
var textArea = document.createElement("textarea");
textArea.value = textToCopy;
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 show a temporary message to the user
console.log(msg);
} catch (err) {
console.log('Unable to copy results.');
}
document.body.removeChild(textArea);
}
// Load Chart.js library dynamically if not already present
function loadChartJs() {
if (typeof Chart === 'undefined') {
var script = document.createElement('script');
script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js';
script.onload = function() {
console.log('Chart.js loaded.');
// Initial calculation on load if default values are set
calculateGrowth();
};
script.onerror = function() {
console.error('Failed to load Chart.js library.');
};
document.head.appendChild(script);
} else {
// Chart.js is already loaded, proceed with calculation
calculateGrowth();
}
}
// Call loadChartJs when the DOM is ready
document.addEventListener('DOMContentLoaded', loadChartJs);