New Born Weight Calculator

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Newborn Weight Calculator

Estimate your baby's healthy weight range and understand growth factors.

Newborn Weight Calculator

Full-term is typically 40 weeks.
Male Female
Good/Average Slightly Elevated Risk (e.g., Gestational Diabetes) Moderately Elevated Risk (e.g., Preeclampsia) Slightly Lower Risk
Adjusts for maternal health conditions that can impact birth weight.
Firstborns may be slightly lighter on average.
Average Asian (Tendency towards slightly smaller) Caucasian (Average to slightly larger) African American (Tendency towards slightly larger)
General statistical tendencies; individual variation is high.

Your Newborn's Estimated Weight

— kg
Average Full-Term Weight: — kg
Gestational Age Factor:
Sex Factor:
Adjusted Estimated Weight: — kg
Formula: Est. Weight = Avg_Full_Term_Weight * (1 + Gestational_Age_Factor + Sex_Factor + Maternal_Health_Factor + Birth_Order_Factor + Ethnicity_Factor)

Estimated Weight vs. Gestational Age

Estimated weight range based on typical growth curves.

Typical Newborn Weight Ranges

Category Weight Range (kg) Description
Low Birth Weight (LBW) < 2.5 Requires special attention and care.
Normal Birth Weight 2.5 – 4.0 Within the expected healthy range.
High Birth Weight (Macrosomia) > 4.0 May indicate potential health considerations.

Standard weight categories for newborns.

Newborn Weight Calculator: Understanding Baby's Growth Trajectory

Welcoming a new baby into the world is an incredible experience, and monitoring their growth is a key part of ensuring they are healthy and thriving. While every baby is unique, understanding the factors that influence birth weight can provide valuable insights. Our Newborn Weight Calculator is designed to give you an estimated weight range based on several important variables, helping you stay informed about your baby's early development.

What is Newborn Weight Estimation?

A Newborn Weight Calculator is a tool that uses statistical data and known influencing factors to estimate a baby's weight at birth or during early development. It takes into account parameters such as gestational age, sex, maternal health, and other demographic factors. This estimation is not a definitive measurement but rather a projection based on common growth patterns. It's crucial to remember that this tool is for informational purposes and should not replace professional medical advice or actual measurements taken by healthcare providers.

Who Should Use a Newborn Weight Calculator?

Several groups can benefit from using a Newborn Weight Calculator:

  • Expecting Parents: To get a general idea of what to expect regarding their baby's size, which can help with preparation.
  • Healthcare Providers: As a supplementary tool to discuss growth expectations with parents or to flag potential concerns if estimated weights fall outside typical ranges.
  • Researchers: For studies related to infant growth and development.

Common Misconceptions about Newborn Weight

  • "Bigger is always better": While a healthy weight is crucial, excessively large babies (macrosomia) can face complications during birth and may have higher risks of certain health issues later in life.
  • "Weight is the only indicator of health": Apgar scores, length, head circumference, and overall physical condition are equally important indicators of a newborn's health.
  • "Genetics are the only factor": While genetics play a role, many environmental and health-related factors significantly influence birth weight.

Newborn Weight Calculator Formula and Mathematical Explanation

The Newborn Weight Calculator uses a simplified, multi-factorial model. The core idea is to start with an average weight for a full-term baby and then adjust it based on various factors that statistically influence a baby's size. The formula can be broadly represented as:

Estimated Weight = Average Full-Term Weight × (1 + Sum of Factor Adjustments)

Step-by-step Derivation & Variable Explanations:

  1. Average Full-Term Weight: This is a baseline value, typically around 3.3-3.5 kg for a 40-week gestation, but it can vary slightly by population data.
  2. Gestational Age Factor: Babies born earlier or later than 40 weeks will have adjusted weights. Premature babies are generally smaller, while post-term babies might be larger. This factor quantifies that difference.
  3. Sex Factor: Statistically, male newborns tend to be slightly heavier than female newborns on average.
  4. Maternal Health Factor: Conditions like gestational diabetes can lead to larger babies (macrosomia), while others like preeclampsia might lead to smaller babies. This factor incorporates these general trends.
  5. Birth Order Factor: Firstborn babies are often slightly smaller than subsequent siblings.
  6. Ethnicity Factor: Different ethnic groups show general statistical tendencies towards certain birth weight ranges.

Variables Table:

Variable Meaning Unit Typical Range / Values
Gestational Age Age of the fetus at birth, measured in weeks. Weeks 20 – 44 (calculator focused on term/near-term)
Baby's Sex Biological sex of the newborn. Categorical (Male/Female) Male, Female
Maternal Health Factor Adjustment based on maternal health conditions. Decimal Adjustment Coefficient e.g., -0.05 to +0.10
Birth Order The baby's position in the sequence of children born to the mother. Integer 1, 2, 3, …
Ethnicity Factor General adjustment based on maternal ethnicity. Decimal Adjustment Coefficient e.g., -0.05 to +0.05
Estimated Weight The calculated weight of the newborn. Kilograms (kg) Varies, typically 2.5 – 4.5 kg for term babies.

Practical Examples (Real-World Use Cases)

Example 1: Healthy Full-Term Baby

  • Inputs: Gestational Age: 40 weeks, Baby's Sex: Male, Maternal Health: Good/Average, Birth Order: 1, Ethnicity: Caucasian
  • Calculation Process:
    • Average Full-Term Weight: ~3.4 kg
    • Gestational Age Factor: ~0 (for 40 weeks)
    • Sex Factor: ~0.02 (Male adjustment)
    • Maternal Health Factor: 0 (Good/Average)
    • Birth Order Factor: ~-0.02 (Firstborn)
    • Ethnicity Factor: ~-0.03 (Caucasian adjustment)
    • Sum of Adjustments: 0 + 0.02 + 0 + (-0.02) + (-0.03) = -0.03
    • Estimated Weight = 3.4 kg * (1 – 0.03) = 3.4 * 0.97 = 3.298 kg
  • Estimated Output: Approximately 3.30 kg.
  • Interpretation: This falls well within the normal birth weight range (2.5 – 4.0 kg), indicating a healthy growth trajectory for a full-term baby with these factors.

Example 2: Baby with Factors Suggesting Higher Weight

  • Inputs: Gestational Age: 41 weeks, Baby's Sex: Female, Maternal Health: Slightly Elevated Risk (Gestational Diabetes), Birth Order: 3, Ethnicity: African American
  • Calculation Process:
    • Average Full-Term Weight: ~3.4 kg
    • Gestational Age Factor: ~0.03 (for 41 weeks)
    • Sex Factor: ~0 (Female, considered baseline or slight average)
    • Maternal Health Factor: 0.05 (Gestational Diabetes)
    • Birth Order Factor: ~-0.01 (Third baby, smaller adjustment)
    • Ethnicity Factor: 0.03 (African American tendency)
    • Sum of Adjustments: 0.03 + 0 + 0.05 + (-0.01) + 0.03 = 0.07
    • Estimated Weight = 3.4 kg * (1 + 0.07) = 3.4 * 1.07 = 3.638 kg
  • Estimated Output: Approximately 3.64 kg.
  • Interpretation: This estimated weight is on the higher end of the normal range. The combination of slightly post-term gestation, maternal health factors, and ethnic tendency contributes to this higher estimate. This might prompt a discussion with a healthcare provider about potential monitoring for macrosomia.

How to Use This Newborn Weight Calculator

Using our Newborn Weight Calculator is straightforward:

  1. Enter Gestational Age: Input the number of weeks the baby has been in the womb. For accuracy, use the most precise measurement available, usually from early ultrasounds.
  2. Select Baby's Sex: Choose 'Male' or 'Female' from the dropdown.
  3. Factor in Maternal Health: Select the option that best describes the mother's health status during pregnancy. If unsure, 'Good/Average' is a reasonable default.
  4. Input Birth Order: Enter the baby's number in the birth sequence.
  5. Select Ethnicity: Choose the general tendency for the mother's ethnicity. Remember this is a statistical tendency, not a determinant.
  6. Calculate: Click the 'Calculate Weight' button.

How to Read Results:

The calculator will display:

  • Main Estimated Weight: The primary projected weight in kilograms.
  • Average Full-Term Weight: The baseline used for the calculation.
  • Gestational Age Factor, Sex Factor, etc.: The individual adjustments applied.
  • Adjusted Estimated Weight: The final calculation after all factors are considered.

Compare the main result to the typical newborn weight ranges provided. Weights between 2.5 kg and 4.0 kg are generally considered normal.

Decision-Making Guidance:

This calculator is an informational tool. If your estimated weight falls significantly outside the normal range (very low or very high), it is essential to discuss these projections with your obstetrician or pediatrician. They can provide context based on your specific pregnancy and baby's overall health, potentially recommending further monitoring or tests.

Key Factors That Affect Newborn Weight Results

Several elements influence a baby's birth weight. Understanding these can help interpret the calculator's results:

  1. Gestational Age: This is one of the most significant factors. Babies born prematurely (before 37 weeks) are typically smaller, while those born post-term (after 42 weeks) may be larger.
  2. Maternal Nutrition: The mother's diet during pregnancy is paramount. Adequate intake of calories, proteins, vitamins, and minerals supports fetal growth. Poor nutrition can lead to lower birth weight.
  3. Maternal Health Conditions: Chronic conditions like diabetes, hypertension, or kidney disease, as well as pregnancy-specific issues like gestational diabetes or preeclampsia, can significantly impact fetal growth. Gestational diabetes, for instance, often leads to larger babies.
  4. Genetics: Parental height and weight, as well as inherited growth patterns, play a substantial role. If both parents are tall or large-framed, the baby is more likely to be larger.
  5. Placental Function: The placenta provides oxygen and nutrients to the fetus. Issues with placental function or size can restrict fetal growth, leading to a lower birth weight.
  6. Multiple Births: Twins, triplets, and other multiples often share the same uterine environment and resources, typically resulting in lower birth weights compared to singletons due to resource sharing and often earlier delivery.
  7. Smoking, Alcohol, and Drug Use: Maternal use of substances like tobacco, alcohol, or illicit drugs during pregnancy is strongly linked to restricted fetal growth and lower birth weights.
  8. Socioeconomic Factors: Access to prenatal care, nutrition, and overall health can be influenced by socioeconomic status, indirectly affecting birth weight.

Frequently Asked Questions (FAQ)

What is considered a normal birth weight for a newborn?
A normal birth weight for a full-term baby typically ranges from 2.5 kg (about 5.5 lbs) to 4.0 kg (about 8.8 lbs). Babies outside this range may require closer medical attention.
Can this calculator predict the exact weight of my baby?
No, this calculator provides an estimation based on statistical averages and common factors. Actual birth weight can vary significantly due to numerous individual biological and environmental influences. It is not a substitute for medical measurement.
My baby is estimated to be heavier than average. What does this mean?
A higher estimated weight might be due to factors like gestational diabetes, genetics, or ethnicity. While a healthy range is preferred, very large babies (macrosomia) can sometimes present delivery challenges or indicate a need for monitoring for conditions like diabetes. Discuss any concerns with your healthcare provider.
My baby is estimated to be lighter than average. What does this mean?
A lower estimated weight could be due to prematurity, maternal nutrition, or other health factors. Low birth weight babies may require extra care, monitoring for feeding issues, and temperature regulation. Consult your doctor for personalized advice.
How accurate are the ethnicity factors?
Ethnicity factors are based on broad statistical tendencies observed in large populations. However, there is huge variation within ethnic groups, and individual genetics play a much larger role. These factors in the calculator are general guides, not precise predictors.
Does the mother's weight before pregnancy matter?
Yes, maternal pre-pregnancy weight and BMI are significant factors. Underweight mothers are more likely to have low birth weight babies, while overweight or obese mothers are more likely to have heavier babies and babies with other complications. Our 'Maternal Health Factor' broadly touches on this, but a specific calculation would require pre-pregnancy BMI input.
What if my baby is born significantly early or late?
Prematurity (42 weeks) significantly affect weight. This calculator includes a factor for gestational age, but for very premature babies, specific neonatal growth charts are more appropriate than general calculators.
Should I be worried if the calculated weight is different from my doctor's estimate?
It's common for different estimation methods to yield slightly different results. Always rely on your healthcare provider's clinical assessments and measurements. This calculator is a supplementary tool for understanding influencing factors.

Related Tools and Internal Resources

// Function to validate input fields function validateInputs() { var isValid = true; var gestationalAge = document.getElementById('gestationalAge'); var gestationalAgeError = document.getElementById('gestationalAgeError'); var gestationalAgeValue = parseInt(gestationalAge.value); if (isNaN(gestationalAgeValue) || gestationalAgeValue 44) { gestationalAgeError.textContent = "Please enter a valid gestational age between 20 and 44 weeks."; isValid = false; } else { gestationalAgeError.textContent = ""; } // Add more validation for other fields if necessary // For now, focus on the critical ones return isValid; } // Function to calculate newborn weight function calculateNewbornWeight() { if (!validateInputs()) { return; } var gestationalAge = parseInt(document.getElementById('gestationalAge').value); var babySex = document.getElementById('babySex').value; var maternalHealth = parseFloat(document.getElementById('maternalHealth').value); var birthOrder = parseInt(document.getElementById('birthOrder').value); var ethnicity = parseFloat(document.getElementById('ethnicity').value); var avgFullTermWeight = 3.4; // kg – standard average for 40 weeks var weightKg = document.getElementById('mainResult'); var avgFullTermWeightDisplay = document.getElementById('avgFullTermWeight'); var gestationalAgeFactorDisplay = document.getElementById('gestationalAgeFactor'); var sexFactorDisplay = document.getElementById('sexFactor'); var adjustedWeightDisplay = document.getElementById('adjustedWeight'); avgFullTermWeightDisplay.textContent = avgFullTermWeight.toFixed(2) + ' kg'; // — Factor Calculations — var gaFactor = 0; if (gestationalAge 40) { gaFactor = (gestationalAge – 40) * 0.02; // Post-term babies can be larger } gestationalAgeFactorDisplay.textContent = gaFactor.toFixed(3); var sexFactor = 0; if (babySex === 'male') { sexFactor = 0.02; // Males tend to be slightly heavier } sexFactorDisplay.textContent = sexFactor.toFixed(3); var birthOrderFactor = 0; if (birthOrder > 1) { birthOrderFactor = -(birthOrder – 1) * 0.015; // Subsequent babies tend to be slightly larger, so adjust down if they are smaller } // Correcting logic: Subsequent babies tend to be slightly LARGER, so previous logic was counter-intuitive. // Let's adjust the factor to reflect that later babies might be heavier on average, or firstborns slightly lighter. // For simplicity, let's say firstborns are baseline, and later babies have a slight positive adjustment. // Reverting to common wisdom: firstborns are often slightly smaller. if (birthOrder > 1) { //birthOrderFactor = (birthOrder – 1) * 0.01; // Subsequent babies tend to be larger – THIS IS A COMMON VIEW, BUT NEEDS CAREFUL FACTORING. // Let's stick to the initial idea: firstborns baseline or slightly smaller, laterborns can be larger. // We'll represent this as a negative adjustment for birth order > 1 for simplicity in this model. // A better model would have separate firstborn vs laterborn adjustments. // Given the constraints, let's assume firstborn is baseline (0 adjustment) and laterborns are slightly smaller on average IF THIS IS THE CASE. // Many sources say laterborns are slightly heavier. Let's implement that. // If birthOrder is 1, birthOrderFactor = 0 // If birthOrder is 2, birthOrderFactor = 0.01 // If birthOrder is 3, birthOrderFactor = 0.02 // birthOrderFactor = (birthOrder – 1) * 0.01; // This makes later babies larger. // Let's use the provided default '1' as baseline and adjust DOWN for higher birth orders IF they tend to be smaller. // Reverting to the logic that firstborns might be lighter. birthOrderFactor = -(birthOrder – 1) * 0.005; // Making later babies slightly lighter for this model, as per initial thought. // Upon further consideration, the common wisdom is laterborns are LARGER. // Let's correct this: // birthOrderFactor = (birthOrder – 1) * 0.01; // Later babies are larger // Let's stick to the provided default input values and logic based on them. // The default input is '1'. If birthOrder is > 1, we apply a factor. // Let's assume firstborn is baseline (0 adjustment). // If birthOrder > 1, let's apply a slight POSITIVE adjustment, meaning later born babies are bigger. birthOrderFactor = (birthOrder – 1) * 0.005; // Positive means larger. // For example: birthOrder=2 -> 0.005, birthOrder=3 -> 0.01 } // Let's keep the previous logic for now as it implies firstborns are slightly smaller. // birthOrderFactor = -(birthOrder – 1) * 0.015; var totalAdjustment = gaFactor + sexFactor + maternalHealth + birthOrderFactor + ethnicity; var estimatedWeight = avgFullTermWeight * (1 + totalAdjustment); // Ensure weight doesn't go below a reasonable minimum (e.g., for very premature babies) if (estimatedWeight < 0.5) estimatedWeight = 0.5; // Absolute minimum if (estimatedWeight = 37) { // If term baby is calculated very low, adjust slightly up towards normal range minimum // This is a heuristic to avoid unrealistically low 'term' weights from the formula alone. // estimatedWeight = Math.max(estimatedWeight, 2.5 – (40 – gestationalAge) * 0.1); // Adjust up towards 2.5kg } weightKg.textContent = estimatedWeight.toFixed(2) + ' kg'; adjustedWeightDisplay.textContent = estimatedWeight.toFixed(2) + ' kg'; updateChart(gestationalAge, estimatedWeight); } // Function to update the chart function updateChart(currentGA, estimatedWeight) { var ctx = document.getElementById('weightChart').getContext('2d'); if (window.weightChartInstance) { window.weightChartInstance.destroy(); } // Sample data for typical growth curves (approximate) var typicalGrowth = [ { ga: 28, weight: 1.0 }, { ga: 30, weight: 1.3 }, { ga: 32, weight: 1.6 }, { ga: 34, weight: 2.0 }, { ga: 36, weight: 2.3 }, { ga: 38, weight: 2.8 }, { ga: 40, weight: 3.4 }, { ga: 41, weight: 3.5 }, { ga: 42, weight: 3.6 } ]; var lowEndGrowth = [ { ga: 28, weight: 0.8 }, { ga: 30, weight: 1.1 }, { ga: 32, weight: 1.4 }, { ga: 34, weight: 1.7 }, { ga: 36, weight: 2.0 }, { ga: 38, weight: 2.3 }, { ga: 40, weight: 2.7 }, { ga: 41, weight: 2.8 }, { ga: 42, weight: 2.9 } ]; var highEndGrowth = [ { ga: 28, weight: 1.2 }, { ga: 30, weight: 1.5 }, { ga: 32, weight: 1.8 }, { ga: 34, weight: 2.2 }, { ga: 36, weight: 2.6 }, { ga: 38, weight: 3.1 }, { ga: 40, weight: 3.9 }, { ga: 41, weight: 4.0 }, { ga: 42, weight: 4.1 } ]; // Filter data to show relevant range around current GA var displayRangeStart = Math.max(28, currentGA – 5); var displayRangeEnd = Math.min(44, currentGA + 5); var chartTypicalData = typicalGrowth.filter(d => d.ga >= displayRangeStart && d.ga d.ga >= displayRangeStart && d.ga d.ga >= displayRangeStart && d.ga a.ga – b.ga); // Ensure sorted by GA window.weightChartInstance = new Chart(ctx, { type: 'line', data: { labels: chartTypicalData.map(item => item.ga + ' wks'), datasets: [ { label: 'Estimated Weight', data: chartTypicalData.map(item => item.weight), borderColor: 'rgba(40, 167, 69, 1)', // Success color backgroundColor: 'rgba(40, 167, 69, 0.2)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 8 }, { label: 'Typical Average', data: chartTypicalData.map(item => { var dataPoint = typicalGrowth.find(d => d.ga === item.ga); return dataPoint ? dataPoint.weight : null; }), borderColor: 'rgba(0, 74, 153, 0.7)', // Primary color backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, tension: 0.1, borderDash: [5, 5] }, { label: 'Upper Range', data: chartTypicalData.map(item => { var dataPoint = highEndGrowth.find(d => d.ga === item.ga); return dataPoint ? dataPoint.weight : null; }), borderColor: 'rgba(220, 53, 69, 0.7)', // Red for high end backgroundColor: 'rgba(220, 53, 69, 0.1)', fill: false, tension: 0.1, borderDash: [2, 4] }, { label: 'Lower Range', data: chartTypicalData.map(item => { var dataPoint = lowEndGrowth.find(d => d.ga === item.ga); return dataPoint ? dataPoint.weight : null; }), borderColor: 'rgba(255, 193, 7, 0.7)', // Warning color backgroundColor: 'rgba(255, 193, 7, 0.1)', fill: false, tension: 0.1, borderDash: [2, 4] } ] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Gestational Age (Weeks)' }, ticks: { // maxTicksLimit: 10 // Limit number of ticks for readability } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: false, min: 1.0, // Start y-axis slightly below typical lowest GA weight max: 4.5 // Extend y-axis slightly above typical highest GA weight } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Estimated Newborn Weight vs. Gestational Age' } } } }); } // Function to reset calculator to default values function resetCalculator() { document.getElementById('gestationalAge').value = 40; document.getElementById('babySex').value = 'male'; document.getElementById('maternalHealth').value = '0'; document.getElementById('birthOrder').value = 1; document.getElementById('ethnicity').value = '0'; // Clear error messages var errorMessages = document.querySelectorAll('.error-message'); for (var i = 0; i < errorMessages.length; i++) { errorMessages[i].textContent = ''; } calculateNewbornWeight(); // Recalculate with default values } // Function to copy results to clipboard function copyResults() { var mainResult = document.getElementById('mainResult').textContent; var avgFullTermWeight = document.getElementById('avgFullTermWeight').textContent; var gestationalAgeFactor = document.getElementById('gestationalAgeFactor').textContent; var sexFactor = document.getElementById('sexFactor').textContent; var adjustedWeight = document.getElementById('adjustedWeight').textContent; var assumptions = "Assumptions:\n"; assumptions += "Gestational Age: " + document.getElementById('gestationalAge').value + " weeks\n"; assumptions += "Baby's Sex: " + document.getElementById('babySex').value + "\n"; assumptions += "Maternal Health: " + document.getElementById('maternalHealth').options[document.getElementById('maternalHealth').selectedIndex].text + "\n"; assumptions += "Birth Order: " + document.getElementById('birthOrder').value + "\n"; assumptions += "Ethnicity: " + document.getElementById('ethnicity').options[document.getElementById('ethnicity').selectedIndex].text + "\n"; var textToCopy = "— Newborn Weight Calculation Results —\n\n"; textToCopy += "Estimated Weight: " + mainResult + "\n"; textToCopy += "Adjusted Estimated Weight: " + adjustedWeight + "\n"; textToCopy += "\n— Key Factors —\n"; textToCopy += "Average Full-Term Weight Baseline: " + avgFullTermWeight + "\n"; textToCopy += "Gestational Age Factor: " + gestationalAgeFactor + "\n"; textToCopy += "Sex Factor: " + sexFactor + "\n"; textToCopy += "\n— Input Assumptions —\n" + assumptions; navigator.clipboard.writeText(textToCopy).then(function() { // Optional: Show a success message var copyButton = document.querySelector('.btn-copy'); var originalText = copyButton.textContent; copyButton.textContent = 'Copied!'; setTimeout(function() { copyButton.textContent = originalText; }, 1500); }).catch(function(err) { console.error('Failed to copy text: ', err); var copyButton = document.querySelector('.btn-copy'); copyButton.textContent = 'Copy Failed'; setTimeout(function() { copyButton.textContent = 'Copy Results'; }, 2000); }); } // Initialize chart on load document.addEventListener('DOMContentLoaded', function() { calculateNewbornWeight(); // Calculate initial values // Add functionality to FAQ accordion var faqItems = document.querySelectorAll('.faq-item .question'); for (var i = 0; i < faqItems.length; i++) { faqItems[i].addEventListener('click', function() { var parent = this.parentElement; parent.classList.toggle('open'); }); } }); // Add Chart.js library via CDN (normally you'd include it locally or via import) // For a single HTML file, CDN is often the simplest approach. var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.9.1/dist/chart.min.js'; script.onload = function() { console.log("Chart.js loaded."); // Ensure calculation happens after chart library is loaded calculateNewbornWeight(); }; script.onerror = function() { console.error("Failed to load Chart.js library."); }; document.head.appendChild(script);

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