Age Weight Calculator Baby

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Baby Age & Weight Calculator

Easily track your baby's growth and understand healthy weight ranges.

Growth Calculator

Enter the baby's age in days since birth.
Enter the baby's current weight in kilograms.
Male Female Select the baby's sex for more accurate percentile comparison.

Your Baby's Growth Metrics

Age Category:
Weight Category:
Growth Percentile (Approx.):
This calculator estimates growth categories based on standard WHO (World Health Organization) growth charts. Percentiles are approximate and compare your baby's weight for their age and sex against a reference population.

Baby Growth Chart (Weight vs. Age)

This chart shows your baby's current weight relative to typical growth curves for their age and sex. The blue line represents the 50th percentile (average), and the dotted lines represent other percentiles.

Growth Data Table

Weight Milestones for Baby's Age and Sex
Age (Days) Weight Category (Approx.) Percentile Range (Approx.)
Enter baby's age and weight to see data.

What is a Baby Age & Weight Calculator?

A baby age & weight calculator is a digital tool designed to help parents, caregivers, and healthcare professionals monitor and assess a baby's physical growth. It typically takes the baby's age (often in days, weeks, or months) and their current weight as input. Based on this information, the calculator compares the baby's measurements against established growth charts and standards, such as those provided by the World Health Organization (WHO) or the Centers for Disease Control and Prevention (CDC). The primary output is usually an indication of whether the baby's weight is within a healthy range for their age and sex, often expressed as a percentile.

Who should use it?

  • New Parents: To gain peace of mind and understand if their baby is growing as expected.
  • Caregivers: To track the progress of infants under their supervision.
  • Pediatricians and Healthcare Providers: As a quick reference tool during check-ups to supplement physical measurements and assessments.
  • Parents concerned about feeding: To see if weight gain aligns with feeding patterns.

Common Misconceptions:

  • "My baby MUST be on the 50th percentile": This is a common misunderstanding. The 50th percentile represents the average, but babies can be perfectly healthy anywhere within the typical percentile range (often considered between the 3rd and 97th percentiles). Growth trajectory is often more important than a specific percentile.
  • "The calculator replaces a doctor's visit": This tool is an informational aid, not a diagnostic one. It cannot account for all individual health factors, medical conditions, or developmental nuances that a healthcare professional can assess.
  • "Weight is the only indicator of health": While crucial, weight is just one aspect of a baby's overall health and development. Length, head circumference, and developmental milestones are also vital.

Baby Age & Weight Calculator Formula and Mathematical Explanation

The core of a baby age & weight calculator relies on comparing the baby's data (age and weight) against reference growth data, typically derived from large-scale population studies. These studies establish growth curves representing different percentiles for specific age and sex groups. The calculator doesn't perform a complex mathematical calculation in the traditional sense of solving an equation; rather, it performs a lookup and interpolation process.

Step-by-Step Process:

  1. Input Data: The calculator receives the baby's age (in days) and weight (in kg), along with their sex.
  2. Reference Data Lookup: It accesses a database containing established growth percentiles (e.g., 3rd, 5th, 10th, 25th, 50th, 75th, 90th, 95th, 97th) for weight at various ages, separated by sex.
  3. Age Matching: The calculator finds the data points in the reference database that correspond to the baby's age. If the exact age isn't listed, it interpolates between the nearest available data points.
  4. Weight Comparison: The baby's actual weight is then compared to the reference weights at that specific age.
  5. Percentile Determination: Based on this comparison, the calculator determines which percentile the baby's weight falls into. For example, if the baby's weight is greater than 75% of the babies of the same age and sex in the reference population but less than 90%, they are considered to be around the 80th percentile.
  6. Category Assignment: Based on the determined percentile, the calculator assigns a descriptive category (e.g., "Below Average," "Average," "Above Average").

Variable Explanations:

Variables Used in Growth Assessment
Variable Meaning Unit Typical Range
Baby's Age The duration of the baby's life since birth. Days (or Weeks/Months) 0+ Days
Baby's Weight The measured mass of the baby. Kilograms (kg) Varies significantly by age (e.g., 2.5 – 10 kg for the first year)
Baby's Sex Biological sex assigned at birth. Male / Female Male or Female
Growth Percentile The percentage of babies of the same age and sex whose weight is at or below the baby's measured weight. % 0 – 100% (Typically focus on 3rd – 97th)
Age Category A general classification of the baby's developmental stage based on age. Descriptive Newborn, Infant, Older Infant
Weight Category A general classification of the baby's weight relative to age norms. Descriptive Underweight, Healthy Weight, Overweight (based on percentile thresholds)

Practical Examples (Real-World Use Cases)

Understanding how the baby age & weight calculator works is best illustrated with examples:

Example 1: Tracking a 6-Month-Old Baby

Scenario: Sarah's baby, Leo, is exactly 6 months old (approximately 182 days). He weighs 8.2 kg. Leo is a boy.

Inputs:

  • Baby's Age: 182 days
  • Baby's Weight: 8.2 kg
  • Baby's Sex: Male

Calculator Output (Hypothetical):

  • Primary Result: 65th Percentile
  • Age Category: Infant
  • Weight Category: Healthy Weight (Above Average)
  • Growth Percentile (Approx.): 65%

Interpretation: Leo's weight of 8.2 kg at 182 days places him around the 65th percentile for his age and sex. This means he weighs more than 65% of baby boys his age in the reference population. This is generally considered a healthy weight, indicating good growth and nutrition. Sarah can feel reassured that Leo is growing well.

Example 2: Monitoring a 3-Month-Old Baby's Gain

Scenario: Mark and Lisa are concerned because their 3-month-old daughter, Maya, seems small. Maya is 13 weeks old (approximately 91 days) and weighs 5.5 kg. She is a girl.

Inputs:

  • Baby's Age: 91 days
  • Baby's Weight: 5.5 kg
  • Baby's Sex: Female

Calculator Output (Hypothetical):

  • Primary Result: 20th Percentile
  • Age Category: Infant
  • Weight Category: Healthy Weight (Below Average)
  • Growth Percentile (Approx.): 20%

Interpretation: Maya's weight of 5.5 kg at 91 days places her around the 20th percentile for baby girls her age. This indicates she weighs more than 20% of the reference population. While this is still within the generally accepted healthy range (often considered 3rd-97th percentile), it's on the lower end. Mark and Lisa should discuss this with their pediatrician to ensure her growth trajectory is consistent and that she is meeting other developmental milestones. They might review feeding frequency or discuss potential underlying factors with their doctor.

How to Use This Baby Age & Weight Calculator

Using this baby age & weight calculator is straightforward and designed for ease of use by any caregiver.

  1. Step 1: Gather Information: You will need your baby's exact age in days and their current weight in kilograms. Ensure you have a reliable scale for accurate weight measurement. Note your baby's sex (Male or Female).
  2. Step 2: Input Age: Enter the baby's age in days into the "Baby's Age (in Days)" field. For example, if your baby is 4 months old, calculate the approximate number of days (e.g., 4 months * 30 days/month ≈ 120 days, or use a more precise day counter).
  3. Step 3: Input Weight: Enter the baby's current weight in kilograms into the "Baby's Current Weight (kg)" field.
  4. Step 4: Select Sex: Choose "Male" or "Female" from the dropdown menu for "Baby's Sex."
  5. Step 5: View Results: As soon as you input the data, the calculator will automatically update the results section. You'll see:
    • Primary Result: Your baby's approximate growth percentile.
    • Age Category: A general description of the age group.
    • Weight Category: A classification of the weight relative to norms (e.g., Healthy Weight, Below Average).
    • Growth Percentile (Approx.): The numerical percentile value.
  6. Step 6: Analyze the Chart and Table: The dynamic chart visually represents your baby's position on growth curves, and the table provides context with key weight milestones.

How to Read Results:

  • Percentile: A percentile indicates how your baby compares to others of the same age and sex. The 50th percentile is the average. Being in the 10th percentile means your baby weighs more than 10% of babies their age, and the 90th percentile means they weigh more than 90%.
  • Weight Category: This provides a quick summary. "Healthy Weight" typically falls within the 3rd to 97th percentile range. "Below Average" might be between the 3rd and 25th percentile, and "Above Average" could be between the 75th and 97th percentile. Percentiles below the 3rd or above the 97th may warrant discussion with a healthcare provider.

Decision-Making Guidance:

  • Reassurance: If your baby falls within the typical percentile ranges (3rd-97th) and shows a consistent growth curve over time, it's usually a sign of healthy development.
  • Consult a Doctor: If your baby is consistently below the 3rd percentile, above the 97th percentile, experiencing rapid weight loss, or if their growth curve suddenly changes dramatically, consult your pediatrician immediately.
  • Feeding Habits: Use the results as a conversation starter with your doctor about feeding adequacy, especially if you have concerns about under- or over-feeding.

Key Factors That Affect Baby Growth Results

While the baby age & weight calculator provides a valuable snapshot, several factors influence a baby's growth trajectory and the interpretation of their percentile:

  1. Genetics: Just like adults, babies inherit genetic predispositions for body size and growth rate. If parents are tall or have a larger build, their baby might naturally trend towards higher percentiles. Conversely, smaller parents might have babies trending lower.
  2. Nutrition and Feeding: This is paramount. Adequate intake of breast milk or formula is crucial for weight gain. Issues with latching, milk supply, absorption problems (like colic or digestive issues), or inappropriate formula preparation can significantly impact weight gain. The type and frequency of feeding directly correlate with growth.
  3. Prematurity: Babies born prematurely often have different growth trajectories initially. While corrected age is sometimes used, their early development might place them on lower percentiles initially, catching up over time. This calculator uses chronological age.
  4. Health Conditions: Underlying medical issues, even seemingly minor ones like frequent infections or more serious conditions affecting metabolism or nutrient absorption, can slow down or alter growth patterns.
  5. Birth Weight: A baby's starting weight at birth influences their subsequent growth curve. A baby born significantly smaller or larger than average might follow a different path compared to a baby born at the median weight.
  6. Activity Level: While less impactful in early infancy compared to later childhood, a baby's metabolic rate and energy expenditure can subtly influence weight gain. More active babies might gain weight slightly differently than less active ones.
  7. Measurement Accuracy: Inconsistent or inaccurate measurements (using different scales, not zeroing the scale, or measuring at different times of day) can lead to skewed results and misinterpretation of the percentile.

Frequently Asked Questions (FAQ)

What are the standard growth charts used?

This calculator primarily references World Health Organization (WHO) growth standards, which are widely accepted for infants and young children globally. These charts are based on data from healthy, breastfed infants.

Is it bad if my baby is below the 50th percentile?

No, not necessarily. The 50th percentile is just the average. A baby consistently tracking along the 10th or 25th percentile can be perfectly healthy, provided they are gaining weight appropriately for their age and meeting developmental milestones. The key is a consistent growth *pattern* rather than hitting a specific number.

My baby's weight percentile dropped. Should I worry?

A drop in percentile, especially if it's more than one or two major percentiles (e.g., from 75th to 25th) or if it's a sudden change, warrants a discussion with your pediatrician. It could indicate a change in feeding, absorption, or an underlying health issue. However, slight fluctuations can be normal.

How often should I measure my baby's weight?

For newborns, daily weight checks might be done in the hospital. After going home, weekly checks might be recommended for the first few weeks. By 3-6 months, monthly checks are often sufficient, but always follow your pediatrician's advice. Over-measuring can cause unnecessary anxiety.

Does this calculator account for length and head circumference?

No, this specific calculator focuses solely on weight relative to age and sex. Comprehensive growth assessment by a healthcare provider includes length (or height) and head circumference measurements, plotted on their respective growth charts.

What if my baby is exclusively breastfed?

Breastfed babies often have a different weight gain pattern than formula-fed babies. They might gain weight slightly slower after the initial period but are generally considered healthy within the WHO percentiles. This calculator uses WHO standards which are appropriate for both.

Can I use this calculator for older children?

This calculator is specifically designed for infants and very young children, typically up to 2 years old, based on standard infant growth charts. For older children, different growth charts (like those from the CDC for ages 2+) that consider height-to-weight ratios (BMI) are more appropriate.

What does "interpolation" mean in growth charts?

Interpolation is a mathematical method used when your baby's exact age isn't listed on the reference chart. The calculator estimates the percentile by calculating a value between two known data points on the chart, providing a more precise estimate than simply rounding to the nearest listed age.

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} function calculateGrowth() { var babyAgeDaysInput = getElement('babyAgeDays'); var babyWeightKgInput = getElement('babyWeightKg'); var babySexSelect = getElement('babySex'); var babyAgeDays = babyAgeDaysInput.value; var babyWeightKg = babyWeightKgInput.value; var babySex = babySexSelect.value; // Reset errors and borders getElement('babyAgeDaysError').innerText = "; getElement('babyAgeDaysError').classList.remove('visible'); getElement('babyWeightKgError').innerText = "; getElement('babyWeightKgError').classList.remove('visible'); babyAgeDaysInput.style.borderColor = '#ced4da'; babyWeightKgInput.style.borderColor = '#ced4da'; // Validation var isAgeValid = validateInput(babyAgeDays, 'babyAgeDays', 0, 365 * 3, 'Baby Age'); // Max 3 years for typical infant charts var isWeightValid = validateInput(babyWeightKg, 'babyWeightKg', 0.5, 30, 'Baby Weight'); // Realistic range for infants if (!isAgeValid || !isWeightValid) { // Clear results if validation fails getElement('primaryResult').innerText = '–'; getElement('ageCategory').innerText = '–'; getElement('weightCategory').innerText = '–'; getElement('growthPercentile').innerText = '–'; clearChart(); clearTable(); return; } var ageDays = parseFloat(babyAgeDays); var weightKg = parseFloat(babyWeightKg); // Simplified WHO-like data for demonstration (actual data is more complex) // Data structure: { sex: { age_in_days: { percentile: weight_kg } } } var growthData = { male: { // Approx. data points for males (kg) 0: { p3: 2.5, p10: 2.8, p25: 3.2, p50: 3.6, p75: 4.0, p90: 4.3, p97: 4.6 }, 30: { p3: 3.5, p10: 3.9, p25: 4.4, p50: 4.9, p75: 5.4, p90: 5.8, p97: 6.2 }, // 1 month 60: { p3: 4.5, p10: 5.0, p25: 5.6, p50: 6.2, p75: 6.8, p90: 7.3, p97: 7.8 }, // 2 months 90: { p3: 5.3, p10: 5.9, p25: 6.5, p50: 7.1, p75: 7.7, p90: 8.2, p97: 8.8 }, // 3 months 120: { p3: 6.0, p10: 6.6, p25: 7.3, p50: 7.9, p75: 8.6, p90: 9.2, p97: 9.8 }, // 4 months 150: { p3: 6.5, p10: 7.2, p25: 7.9, p50: 8.6, p75: 9.3, p90: 10.0, p97: 10.7 }, // 5 months 180: { p3: 6.9, p10: 7.6, p25: 8.4, p50: 9.1, p75: 9.9, p90: 10.6, p97: 11.4 }, // 6 months 210: { p3: 7.2, p10: 8.0, p25: 8.8, p50: 9.6, p75: 10.4, p90: 11.2, p97: 12.0 }, // 7 months 240: { p3: 7.5, p10: 8.3, p25: 9.2, p50: 10.0, p75: 10.9, p90: 11.7, p97: 12.6 }, // 8 months 270: { p3: 7.7, p10: 8.5, p25: 9.4, p50: 10.3, p75: 11.2, p90: 12.1, p97: 13.0 }, // 9 months 300: { p3: 7.9, p10: 8.7, p25: 9.6, p50: 10.5, p75: 11.5, p90: 12.4, p97: 13.3 }, // 10 months 330: { p3: 8.0, p10: 8.9, p25: 9.8, p50: 10.7, p75: 11.7, p90: 12.6, p97: 13.6 }, // 11 months 365: { p3: 8.1, p10: 9.0, p25: 10.0, p50: 11.0, p75: 12.0, p90: 13.0, p97: 14.0 } // 12 months }, female: { // Approx. data points for females (kg) 0: { p3: 2.3, p10: 2.6, p25: 3.0, p50: 3.4, p75: 3.8, p90: 4.1, p97: 4.4 }, 30: { p3: 3.3, p10: 3.7, p25: 4.2, p50: 4.7, p75: 5.2, p90: 5.6, p97: 6.0 }, // 1 month 60: { p3: 4.2, p10: 4.7, p25: 5.3, p50: 5.9, p75: 6.5, p90: 7.0, p97: 7.5 }, // 2 months 90: { p3: 5.0, p10: 5.5, p25: 6.1, p50: 6.7, p75: 7.3, p90: 7.9, p97: 8.5 }, // 3 months 120: { p3: 5.7, p10: 6.3, p25: 7.0, p50: 7.6, p75: 8.3, p90: 9.0, p97: 9.6 }, // 4 months 150: { p3: 6.2, p10: 6.9, p25: 7.6, p50: 8.3, p75: 9.1, p90: 9.8, p97: 10.5 }, // 5 months 180: { p3: 6.6, p10: 7.3, p25: 8.1, p50: 8.9, p75: 9.7, p90: 10.4, p97: 11.2 }, // 6 months 210: { p3: 6.9, p10: 7.7, p25: 8.5, p50: 9.3, p75: 10.2, p90: 11.0, p97: 11.8 }, // 7 months 240: { p3: 7.2, p10: 8.0, p25: 8.9, p50: 9.7, p75: 10.6, p90: 11.5, p97: 12.4 }, // 8 months 270: { p3: 7.4, p10: 8.2, p25: 9.1, p50: 10.0, p75: 10.9, p90: 11.8, p97: 12.7 }, // 9 months 300: { p3: 7.6, p10: 8.4, p25: 9.3, p50: 10.2, p75: 11.1, p90: 12.0, p97: 12.9 }, // 10 months 330: { p3: 7.7, p10: 8.5, p25: 9.4, p50: 10.3, p75: 11.3, p90: 12.2, p97: 13.1 }, // 11 months 365: { p3: 7.8, p10: 8.7, p25: 9.6, p50: 10.5, p75: 11.5, p90: 12.5, p97: 13.5 } // 12 months } }; var sexData = growthData[babySex]; var percentile = '–'; var weightCategory = '–'; var ageCategory = 'Infant'; // Default // Find the closest age data points for interpolation var ages = Object.keys(sexData).map(Number).sort(function(a, b){ return a – b; }); var lowerAge = ages.filter(function(age){ return age = ageDays; }).shift(); var p3Weight, p10Weight, p25Weight, p50Weight, p75Weight, p90Weight, p97Weight; if (lowerAge === undefined || upperAge === undefined || lowerAge === upperAge) { // Exact age match or outside defined range, use the closest available var closestAge = lowerAge || upperAge || ages[0]; // Fallback to first age if needed p3Weight = sexData[closestAge].p3; p10Weight = sexData[closestAge].p10; p25Weight = sexData[closestAge].p25; p50Weight = sexData[closestAge].p50; p75Weight = sexData[closestAge].p75; p90Weight = sexData[closestAge].p90; p97Weight = sexData[closestAge].p97; } else { // Interpolate between lower and upper age var ageRange = upperAge – lowerAge; var weightRatio = (ageDays – lowerAge) / ageRange; p3Weight = sexData[lowerAge].p3 + (sexData[upperAge].p3 – sexData[lowerAge].p3) * weightRatio; p10Weight = sexData[lowerAge].p10 + (sexData[upperAge].p10 – sexData[lowerAge].p10) * weightRatio; p25Weight = sexData[lowerAge].p25 + (sexData[upperAge].p25 – sexData[lowerAge].p25) * weightRatio; p50Weight = sexData[lowerAge].p50 + (sexData[upperAge].p50 – sexData[lowerAge].p50) * weightRatio; p75Weight = sexData[lowerAge].p75 + (sexData[upperAge].p75 – sexData[lowerAge].p75) * weightRatio; p90Weight = sexData[lowerAge].p90 + (sexData[upperAge].p90 – sexData[lowerAge].p90) * weightRatio; p97Weight = sexData[lowerAge].p97 + (sexData[upperAge].p97 – sexData[lowerAge].p97) * weightRatio; } // Determine percentile and category if (weightKg < p3Weight) { percentile = '< 3'; weightCategory = 'Underweight'; } else if (weightKg < p10Weight) { percentile = '3-9'; weightCategory = 'Healthy Weight (Low)'; } else if (weightKg < p25Weight) { percentile = '10-24'; weightCategory = 'Healthy Weight (Low-Mid)'; } else if (weightKg < p50Weight) { percentile = '25-49'; weightCategory = 'Healthy Weight (Mid)'; } else if (weightKg < p75Weight) { percentile = '50-74'; weightCategory = 'Healthy Weight (Mid-High)'; } else if (weightKg < p90Weight) { percentile = '75-89'; weightCategory = 'Healthy Weight (High)'; } else if (weightKg 97′; weightCategory = 'Overweight'; } // Assign primary result text var primaryResultText = percentile + " Percentile"; if (percentile.includes(")) { primaryResultText = percentile + " Percentile (Consult Doctor)"; } getElement('primaryResult').innerText = primaryResultText; getElement('ageCategory').innerText = ageCategory; getElement('weightCategory').innerText = weightCategory; getElement('growthPercentile').innerText = percentile + "%"; // Update chart and table updateChart(ageDays, weightKg, sexData, ages); updateTable(ageDays, weightKg, sexData, ages); } function updateChart(currentAge, currentWeight, sexData, referenceAges) { var ctx = getElement('growthChart').getContext('2d'); // Clear previous chart if it exists if (chartInstance) { chartInstance.destroy(); } // Prepare chart data var labels = []; var p50Data = []; var p3Data = []; var p97Data = []; // Use reference ages for chart points, ensuring they are sorted var sortedRefAges = referenceAges.sort(function(a, b){ return a – b; }); for (var i = 0; i < sortedRefAges.length; i++) { var age = sortedRefAges[i]; var dataPoint = sexData[age]; if (dataPoint) { labels.push(age + ' days'); p50Data.push(dataPoint.p50); p3Data.push(dataPoint.p3); p97Data.push(dataPoint.p97); } } // Add current baby data point labels.push(currentAge + ' days'); p50Data.push(currentWeight); // This is just for plotting the point, not the line p3Data.push(currentWeight); // Placeholder for current point p97Data.push(currentWeight); // Placeholder for current point // Create the chart chartInstance = new Chart(ctx, { type: 'line', data: { labels: labels, datasets: [ { label: '50th Percentile (Average)', data: p50Data, borderColor: 'rgba(0, 74, 153, 1)', // Primary color borderWidth: 2, fill: false, pointRadius: 0, // Hide line points tension: 0.1 }, { label: '3rd Percentile', data: p3Data, borderColor: 'rgba(40, 167, 69, 0.5)', // Success color, semi-transparent borderWidth: 1, borderDash: [5, 5], // Dotted line fill: false, pointRadius: 0 }, { label: '97th Percentile', data: p97Data, borderColor: 'rgba(220, 53, 69, 0.5)', // Danger color, semi-transparent borderWidth: 1, borderDash: [5, 5], // Dotted line fill: false, pointRadius: 0 }, // Dataset for the single current data point { label: 'Current Weight', data: Array(labels.length – 1).fill(null).concat([currentWeight]), // nulls for previous points, current weight for last borderColor: 'rgba(255, 193, 7, 1)', // Warning color backgroundColor: 'rgba(255, 193, 7, 1)', borderWidth: 3, pointRadius: 6, pointHoverRadius: 8, fill: false, type: 'scatter' // Use scatter for a single point } ] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { title: { display: true, text: 'Age (Days)' }, ticks: { autoSkip: true, maxTicksLimit: 10 } }, 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'; } return label; } } }, legend: { position: 'top', } } } }); } function clearChart() { var ctx = getElement('growthChart').getContext('2d'); ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); if (chartInstance) { chartInstance.destroy(); chartInstance = null; } } function updateTable(currentAge, currentWeight, sexData, referenceAges) { var tableBody = getElement('growthTableBody'); tableBody.innerHTML = ''; // Clear previous rows var sortedRefAges = referenceAges.sort(function(a, b){ return a – b; }); // Add a few key milestones relevant to the baby's age var milestoneAges = [0, 30, 60, 90, 120, 150, 180, 210, 240, 270, 300, 330, 365]; var displayedAges = new Set(); // Add milestones that are less than or equal to baby's age milestoneAges.forEach(function(age) { if (age <= currentAge && sortedRefAges.includes(age)) { displayedAges.add(age); } }); // Ensure the baby's actual age is included if it's not a standard milestone if (sortedRefAges.includes(currentAge)) { displayedAges.add(currentAge); } else { // Find the closest age in sortedRefAges if currentAge isn't exact var closestAge = sortedRefAges.reduce(function(prev, curr) { return (Math.abs(curr – currentAge) < Math.abs(prev – currentAge) ? curr : prev); }); if (closestAge !== undefined) displayedAges.add(closestAge); } var sortedDisplayedAges = Array.from(displayedAges).sort(function(a, b){ return a – b; }); sortedDisplayedAges.forEach(function(age) { var dataPoint = sexData[age]; if (dataPoint) { var row = tableBody.insertRow(); var cellAge = row.insertCell(0); var cellWeightCat = row.insertCell(1); var cellPercentileRange = row.insertCell(2); cellAge.innerText = age + " days"; var weightCat = ''; var percentileRange = ''; if (currentWeight < dataPoint.p3) { weightCat = 'Underweight'; percentileRange = '< 3%'; } else if (currentWeight < dataPoint.p10) { weightCat = 'Healthy (Low)'; percentileRange = '3-9%'; } else if (currentWeight < dataPoint.p25) { weightCat = 'Healthy (Low-Mid)'; percentileRange = '10-24%'; } else if (currentWeight < dataPoint.p50) { weightCat = 'Healthy (Mid)'; percentileRange = '25-49%'; } else if (currentWeight < dataPoint.p75) { weightCat = 'Healthy (Mid-High)'; percentileRange = '50-74%'; } else if (currentWeight < dataPoint.p90) { weightCat = 'Healthy (High)'; percentileRange = '75-89%'; } else if (currentWeight 97%'; } // Display category based on baby's current weight relative to this milestone age's percentiles var currentWeightCat = "; var currentPercentileRange = "; if (currentWeight < dataPoint.p3) { currentWeightCat = 'Underweight'; currentPercentileRange = '< 3%'; } else if (currentWeight < dataPoint.p10) { currentWeightCat = 'Healthy (Low)'; currentPercentileRange = '3-9%'; } else if (currentWeight < dataPoint.p25) { currentWeightCat = 'Healthy (Low-Mid)'; currentPercentileRange = '10-24%'; } else if (currentWeight < dataPoint.p50) { currentWeightCat = 'Healthy (Mid)'; currentPercentileRange = '25-49%'; } else if (currentWeight < dataPoint.p75) { currentWeightCat = 'Healthy (Mid-High)'; currentPercentileRange = '50-74%'; } else if (currentWeight < dataPoint.p90) { currentWeightCat = 'Healthy (High)'; currentPercentileRange = '75-89%'; } else if (currentWeight 97%'; } cellWeightCat.innerText = currentWeightCat; cellPercentileRange.innerText = currentPercentileRange; } }); if (tableBody.rows.length === 0) { var row = tableBody.insertRow(); var cell = row.insertCell(0); cell.colSpan = 3; cell.innerText = "Enter baby's age and weight to see data."; cell.style.textAlign = "center"; } } function clearTable() { var tableBody = getElement('growthTableBody'); tableBody.innerHTML = 'Enter baby\'s age and weight to see data.'; } function resetCalculator() { getElement('babyAgeDays').value = '180'; // Default to 6 months getElement('babyWeightKg').value = '8.0'; // Default to a common weight getElement('babySex').value = 'male'; calculateGrowth(); // Recalculate with defaults } function copyResults() { var primaryResult = getElement('primaryResult').innerText; var ageCategory = getElement('ageCategory').innerText; var weightCategory = getElement('weightCategory').innerText; var growthPercentile = getElement('growthPercentile').innerText; var babyAgeDays = getElement('babyAgeDays').value; var babyWeightKg = getElement('babyWeightKg').value; var babySex = getElement('babySex').value; var assumptions = "Assumptions:\n"; assumptions += "- Baby's Age: " + babyAgeDays + " days\n"; assumptions += "- Baby's Weight: " + babyWeightKg + " kg\n"; assumptions += "- Baby's Sex: " + babySex.charAt(0).toUpperCase() + babySex.slice(1) + "\n"; var resultsText = "Baby Growth Results:\n"; resultsText += "——————–\n"; resultsText += "Primary Result: " + primaryResult + "\n"; resultsText += "Age Category: " + ageCategory + "\n"; resultsText += "Weight Category: " + weightCategory + "\n"; resultsText += "Growth Percentile: " + growthPercentile + "\n"; resultsText += "\n" + assumptions; // Use navigator.clipboard for modern browsers if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy text: ', err); fallbackCopyTextToClipboard(resultsText); // Fallback for older browsers }); } else { fallbackCopyTextToClipboard(resultsText); // Fallback for older browsers } } // Fallback function for older browsers function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; textArea.style.top = "-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.'; alert(msg); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Failed to copy results.'); } document.body.removeChild(textArea); } function toggleFaq(element) { var parent = element.parentElement; parent.classList.toggle('open'); } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { // Load Chart.js library dynamically if not already present 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'; // Use a specific version script.onload = function() { calculateGrowth(); // Calculate after Chart.js is loaded }; script.onerror = function() { alert('Failed to load charting library. Chart features may be unavailable.'); calculateGrowth(); // Attempt calculation even if chart fails }; document.head.appendChild(script); } else { calculateGrowth(); // Calculate immediately if Chart.js is already loaded } resetCalculator(); // Set sensible defaults on load });

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