Newborn Weight Percentage Calculator

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Newborn Weight Percentage Calculator

Understand your baby's growth trajectory by comparing their weight to established growth charts. This free tool provides essential percentile insights.

Newborn Weight Percentage Calculator

Enter weight in kilograms (kg).
Enter age in completed days (e.g., 7 for 1 week old).
Boy Girl
Select the baby's gender for accurate charting.

Your Baby's Growth Percentile

Weight Percentile Rank
Equivalent Age for this Weight (Growth Chart): days Baby's Weight Category:

This calculates the weight percentile based on standard WHO growth charts. The percentile indicates the percentage of babies of the same age and sex who weigh less than your baby.

Growth Data Table

Weight Percentiles for Boys (WHO Standards – Approximate)**
Age (Days) 3rd %tile (kg) 15th %tile (kg) 50th %tile (kg) 85th %tile (kg) 97th %tile (kg)
Weight Percentiles for Girls (WHO Standards – Approximate)**
Age (Days) 3rd %tile (kg) 15th %tile (kg) 50th %tile (kg) 85th %tile (kg) 97th %tile (kg)

**Data is based on WHO Multicentre Growth Reference Study. Values are interpolated for specific days and may vary slightly from official charts. For precise medical interpretation, consult a healthcare professional.

Growth Chart Visualization

This chart visualizes your baby's weight against standard percentiles over the first few days/weeks.

What is a Newborn Weight Percentage Calculator?

A Newborn Weight Percentage Calculator is a specialized tool designed to help parents, caregivers, and healthcare professionals understand where a baby's weight falls in relation to established growth standards for their age and sex. Unlike simple weight trackers, this calculator specifically determines the baby's weight percentile. A percentile rank signifies the percentage of babies of the same age and sex who weigh less than the baby being measured. For instance, if a baby is in the 75th percentile for weight, it means they weigh more than 75% of babies of the same age and sex. This tool is invaluable for monitoring healthy infant development and identifying potential concerns early.

Who Should Use It?

This calculator is primarily for:

  • New Parents and Caregivers: To gain peace of mind or identify areas for discussion with their pediatrician regarding their baby's feeding, growth, and overall health.
  • Pediatricians and Healthcare Providers: As a quick reference tool during well-baby checkups to plot growth and discuss concerns with parents.
  • Lactation Consultants and Nutritionists: To assess infant feeding adequacy and growth patterns.
Anyone involved in the care of a newborn can benefit from using this calculator to track growth against standard benchmarks. Understanding these percentiles is a key aspect of monitoring infant well-being.

Common Misconceptions

Several common misconceptions surround infant weight percentiles:

  • Misconception 1: Higher Percentile = Better. This is not true. A "healthy" percentile is one that is appropriate for the individual child and shows a consistent growth pattern. Rapidly moving up percentiles might indicate overfeeding or other issues, while dropping significantly might signal feeding problems or illness.
  • Misconception 2: Percentiles are Fixed. A baby's percentile rank can change, especially in the first few weeks and months. The focus should be on a steady, consistent growth curve rather than a specific number.
  • Misconception 3: All Percentiles are Equal. While the 50th percentile represents the average, babies can thrive at various percentiles (e.g., 10th, 25th, 75th, 90th) as long as their growth is consistent and they are otherwise healthy and meeting developmental milestones.
  • Misconception 4: It Replaces Medical Advice. This calculator is a supplementary tool. It cannot diagnose medical conditions. Always consult a pediatrician for any health or growth concerns.
A correct understanding of these concepts ensures the newborn weight percentage calculator is used effectively.

Newborn Weight Percentage Calculator Formula and Mathematical Explanation

The core of the newborn weight percentage calculator relies on comparing the baby's current weight and age against data from established growth charts, typically those provided by the World Health Organization (WHO) for international standards. These charts plot weight against age for both boys and girls separately. The calculation isn't a simple arithmetic formula but rather an interpolation and comparison process.

The Process:

  1. Data Reference: The calculator uses a dataset of weight percentiles (e.g., 3rd, 15th, 50th, 85th, 97th) for specific ages (often day by day or week by week) for both male and female infants.
  2. Locate Age: The baby's age in days is located on the growth chart.
  3. Interpolate Data: If the baby's exact age isn't listed in the dataset, the calculator interpolates between the nearest available data points to estimate the percentile weights for that specific age.
  4. Compare Weight: The baby's actual current weight is then compared to these interpolated percentile weights for their age and sex.
  5. Determine Percentile: Based on where the baby's weight falls relative to the established percentile curves, the calculator determines the baby's percentile rank. For example, if the baby's weight falls exactly between the 50th and 85th percentile curves for their age, the calculator might estimate it to be around the 67th percentile.

Formula/Algorithm (Conceptual):

While not a single algebraic formula, the underlying logic can be conceptualized as:

                    
                        PercentileRank = InterpolateAndCompare(
                            BabyWeight,
                            BabyAge,
                            BabyGender,
                            GrowthChartData
                        )
                    
                

Where:

  • BabyWeight: The measured weight of the baby (e.g., in kg).
  • BabyAge: The baby's age, typically in days or weeks.
  • BabyGender: 'Boy' or 'Girl', as growth charts differ.
  • GrowthChartData: A comprehensive dataset containing reference weights at various percentiles for different ages and genders.

Variables Table:

Variables Used in Newborn Weight Percentage Calculation
Variable Meaning Unit Typical Range
Baby's Current Weight The actual measured weight of the infant. Kilograms (kg) 0.5 kg – 10 kg (first year)
Baby's Age The infant's age since birth. Days (or Weeks) 0 – 365 days (first year)
Baby's Gender Biological sex of the infant. Categorical (Boy/Girl) Boy, Girl
Percentile Rank The calculated position of the baby's weight relative to peers. Percentage (%) 0% – 100%
Equivalent Age The age at which a baby of average (50th percentile) weight would match the baby's current weight. Days (or Weeks) Varies based on baby's age and weight
Weight Category A qualitative description of the percentile rank. Categorical Underweight, Healthy Weight, Overweight (based on specific chart interpretation)

This detailed approach ensures that the newborn weight percentage calculator provides meaningful insights into a baby's growth trajectory.

Practical Examples (Real-World Use Cases)

Let's illustrate how the Newborn Weight Percentage Calculator works with practical examples. We'll use approximate WHO data for illustration.

Example 1: A Healthy 2-Week-Old Boy

Scenario: Sarah and John welcomed their baby boy, Leo, one week ago. Today, at 7 days old, Leo weighs 3.6 kg. They want to see how his weight compares to other babies his age.

Inputs:
  • Baby's Current Weight: 3.6 kg
  • Baby's Age: 7 days
  • Baby's Gender: Boy
Calculator Output:
  • Main Result (Weight Percentile Rank): 65th Percentile
  • Equivalent Age for this Weight: Approximately 10 days (meaning a 50th percentile baby would be 10 days old to weigh 3.6kg)
  • Weight Category: Healthy Weight
Interpretation: Leo weighs more than 65% of baby boys his age. This places him in a healthy weight category. His growth seems robust, falling comfortably above the average (50th percentile). Sarah and John can discuss this with their pediatrician, who will likely confirm that this is a positive growth pattern, assuming Leo is meeting other developmental milestones and feeding well. Understanding the newborn weight percentage calculator outputs is key here.

Example 2: A Smaller 5-Day-Old Girl

Scenario: Maria had her baby girl, Sofia, 5 days ago. Sofia currently weighs 2.8 kg. Maria is concerned because Sofia seems small compared to some friends' babies.

Inputs:
  • Baby's Current Weight: 2.8 kg
  • Baby's Age: 5 days
  • Baby's Gender: Girl
Calculator Output:
  • Main Result (Weight Percentile Rank): 12th Percentile
  • Equivalent Age for this Weight: Approximately 2 days (meaning a 50th percentile baby would be 2 days old to weigh 2.8kg)
  • Weight Category: Lower End of Healthy Range
Interpretation: Sofia weighs more than 12% of baby girls her age. This places her at the lower end of the healthy weight range. While not necessarily cause for alarm, it's a significant data point. Maria should discuss this with her pediatrician. They will assess Sofia's overall health, feeding patterns (breast milk intake or formula ounces), number of wet/dirty diapers, and alertness. If Sofia is feeding well and gaining weight consistently, even at a lower percentile, it might be her natural growth curve. However, a pediatrician will monitor closely to ensure adequate intake and prevent issues like dehydration or failure to thrive. This highlights the importance of using a newborn weight percentage calculator in conjunction with professional medical advice.

How to Use This Newborn Weight Percentage Calculator

Using the Newborn Weight Percentage Calculator is straightforward. Follow these simple steps to understand your baby's growth percentile:

  1. Gather Information: You will need your baby's current weight (measured accurately, preferably with a baby scale), their exact age in completed days, and their gender.
  2. Input Baby's Weight: In the "Baby's Current Weight" field, enter the weight in kilograms (kg). For example, if your baby weighs 3.5 kilograms, enter '3.5'.
  3. Input Baby's Age: In the "Baby's Age" field, enter the number of completed days since birth. For example, if your baby is 10 days old, enter '10'.
  4. Select Gender: Choose your baby's gender (Boy or Girl) from the dropdown menu. This is crucial as growth charts differ between sexes.
  5. Calculate: Click the "Calculate Percentile" button.

Reading the Results:

After clicking "Calculate", the calculator will display:

  • Main Result (Weight Percentile Rank): This is the primary output, showing the percentage of babies of the same age and sex who weigh less than your baby. For example, "75th Percentile".
  • Equivalent Age for this Weight: This shows what age an "average" (50th percentile) baby would be to have your baby's current weight. This helps contextualize the weight in terms of developmental stage.
  • Weight Category: A quick label (e.g., "Healthy Weight", "Lower End of Healthy Range") providing a general interpretation of the percentile.
  • Explanation: A brief description of what the percentile means.

Decision-Making Guidance:

The results from the newborn weight percentage calculator are a guide, not a diagnosis.

  • Consistent Growth: The most important factor is a consistent growth trajectory over time. A baby consistently around the same percentile (e.g., always between the 20th and 30th) is generally considered healthy.
  • Sudden Changes: A sudden, significant jump up or drop down in percentiles warrants a discussion with your pediatrician.
  • Consult Healthcare Professionals: Always discuss your baby's growth charts and percentiles with your pediatrician or healthcare provider. They can interpret the data in the context of your baby's overall health, feeding, and development.
  • Feeding and Well-being: Ensure your baby is feeding adequately, having enough wet and dirty diapers, and appears content and alert. These factors are as important as weight.

The "Copy Results" button allows you to easily save or share the calculated figures with your doctor or for your personal records. Use the "Reset" button to clear the fields and perform a new calculation.

Key Factors That Affect Newborn Weight Results

While the newborn weight percentage calculator provides a snapshot based on age, sex, and weight, several underlying factors significantly influence these results and a baby's overall growth trajectory. Understanding these can provide a more holistic view:

  1. Gestational Age at Birth: Premature babies are often born smaller and may follow a different growth curve initially, needing specialized charts (corrected age) until they reach a corrected age of around 2 years. Full-term babies follow standard WHO charts more closely from birth.
  2. Feeding Method and Adequacy: This is paramount. Breastfed babies might experience a slower weight gain initially compared to formula-fed babies, but typically catch up. Inadequate milk intake (whether breast or formula) is a primary reason for poor weight gain and dropping percentiles. The frequency, duration, and effectiveness of feeding sessions are critical.
  3. Maternal Health and Nutrition During Pregnancy: The mother's health, diet, and any pregnancy complications (like gestational diabetes or preeclampsia) can impact fetal growth and birth weight, setting the initial percentile.
  4. Genetics and Parental Size: Babies often inherit a general body type and growth potential from their parents. A baby born to taller, larger parents might naturally trend towards higher percentiles, while a baby from smaller parents might trend lower.
  5. Infant Health and Underlying Medical Conditions: Conditions like metabolic disorders, gastrointestinal issues (e.g., reflux, malabsorption), infections, or heart conditions can affect a baby's ability to gain weight appropriately, leading to lower percentiles or drops in the growth curve.
  6. Metabolism and Activity Level: Just like adults, babies have different metabolic rates. Some burn calories more quickly than others. A highly active baby might require more calories to maintain their percentile.
  7. Postnatal Care and Environment: A supportive environment, proper sleep, and prompt attention to feeding cues can all contribute to healthy growth. Stress or lack of consistent care can indirectly impact feeding and well-being.

The newborn weight percentage calculator is a tool to visualize these growth patterns, but these factors provide the context for why a baby might be at a certain percentile.

Frequently Asked Questions (FAQ)

What are the standard growth charts used?

This calculator primarily uses data based on the World Health Organization (WHO) growth standards, which are widely accepted international references for infant growth up to age 5. For premature babies or specific medical conditions, healthcare providers might use different charts or adjusted age calculations.

Is a low percentile always a problem?

Not necessarily. A low percentile (e.g., below the 10th) is only a concern if it represents a significant drop from the baby's previous growth curve, if the baby is showing signs of poor feeding, inadequate output (wet/dirty diapers), lethargy, or other health issues. Many healthy babies naturally fall into lower percentiles and maintain a consistent growth trajectory.

Is a high percentile always good?

Similar to low percentiles, high percentiles (e.g., above the 90th) aren't automatically "good." Rapid weight gain or consistently high percentiles might indicate overfeeding or could be a sign of underlying issues. The goal is appropriate, consistent growth along a curve that suits the individual baby.

How often should I use the Newborn Weight Percentage Calculator?

It's best used during regular well-baby checkups when your baby is weighed by a healthcare professional. You can also use it at home if you have accurate weight measurements, but remember that consistency in the scale and method is important. Tracking growth over time is more insightful than a single data point.

What's the difference between weight percentile and BMI percentile?

For newborns and young infants, weight percentile is the primary measure as BMI can be less reliable due to rapid changes in body composition. As babies grow older (typically past age 2), BMI percentile becomes a more standard tool for assessing weight status relative to height.

My baby was born early. How does that affect the calculation?

If your baby was born prematurely (before 37 weeks), you should typically use "corrected age" for growth chart calculations, especially in the first two years. This calculator uses actual age in days. For premature infants, consult your pediatrician, as they will use specialized growth charts and calculations that account for the early birth.

What does "Equivalent Age for this Weight" mean?

This value helps put your baby's weight into perspective. It tells you the age at which a baby of average weight (50th percentile) would weigh the same as your baby. For example, if your 10-day-old baby weighs as much as an average 14-day-old, it indicates they are heavier than average for their age.

Can I use this calculator for older babies?

This specific calculator is designed for newborns and very young infants during the initial period where weight percentile is a primary growth indicator. For older babies and toddlers, growth charts typically transition to focusing on both weight-for-age and height-for-age, often leading to BMI calculations. While the principles of percentiles apply, dedicated calculators for older children might be more appropriate.

What if my baby's weight measurement is slightly off?

Inaccurate weight measurements can lead to skewed percentile results. Always try to weigh your baby under similar conditions (e.g., without clothes or in a consistent light outfit) and use a calibrated, reliable baby scale. Even small inaccuracies can shift the percentile slightly, so discuss significant discrepancies with your pediatrician.

Related Tools and Internal Resources

Disclaimer: This calculator provides estimates based on standard growth charts. It is not a substitute for professional medical advice. Always consult with a qualified healthcare provider for any health concerns or before making any decisions related to your child's health.

// WHO growth data (approximations for demonstration) // Data structure: { ageInDays: { boy: [3rd, 15th, 50th, 85th, 97th], girl: […] } } var growthData = { 0: { boy: [2.4, 2.6, 3.0, 3.4, 3.7], girl: [2.3, 2.5, 2.9, 3.3, 3.6] }, 1: { boy: [2.5, 2.7, 3.1, 3.5, 3.8], girl: [2.4, 2.6, 3.0, 3.4, 3.7] }, 2: { boy: [2.6, 2.8, 3.2, 3.6, 3.9], girl: [2.5, 2.7, 3.1, 3.5, 3.8] }, 3: { boy: [2.7, 2.9, 3.3, 3.7, 4.0], girl: [2.6, 2.8, 3.2, 3.6, 3.9] }, 4: { boy: [2.8, 3.0, 3.4, 3.8, 4.1], girl: [2.7, 2.9, 3.3, 3.7, 4.0] }, 5: { boy: [2.9, 3.1, 3.5, 3.9, 4.2], girl: [2.8, 3.0, 3.4, 3.8, 4.1] }, 6: { boy: [3.0, 3.2, 3.6, 4.0, 4.3], girl: [2.9, 3.1, 3.5, 3.9, 4.2] }, 7: { boy: [3.1, 3.3, 3.7, 4.1, 4.4], girl: [3.0, 3.2, 3.6, 4.0, 4.3] }, // 1 week 8: { boy: [3.2, 3.4, 3.8, 4.2, 4.5], girl: [3.1, 3.3, 3.7, 4.1, 4.4] }, 9: { boy: [3.3, 3.5, 3.9, 4.3, 4.6], girl: [3.2, 3.4, 3.8, 4.2, 4.5] }, 10: { boy: [3.4, 3.6, 4.0, 4.4, 4.7], girl: [3.3, 3.5, 3.9, 4.3, 4.6] }, 11: { boy: [3.5, 3.7, 4.1, 4.5, 4.8], girl: [3.4, 3.6, 4.0, 4.4, 4.7] }, 12: { boy: [3.6, 3.8, 4.2, 4.6, 4.9], girl: [3.5, 3.7, 4.1, 4.5, 4.8] }, 13: { boy: [3.7, 3.9, 4.3, 4.7, 5.0], girl: [3.6, 3.8, 4.2, 4.6, 4.9] }, 14: { boy: [3.8, 4.0, 4.4, 4.8, 5.1], girl: [3.7, 3.9, 4.3, 4.7, 5.0] }, // 2 weeks 21: { boy: [4.2, 4.4, 4.8, 5.2, 5.6], girl: [4.1, 4.3, 4.7, 5.1, 5.5] }, // 3 weeks 28: { boy: [4.6, 4.8, 5.2, 5.6, 6.0], girl: [4.5, 4.7, 5.1, 5.5, 5.9] }, // 4 weeks (1 month) 30: { boy: [4.7, 4.9, 5.3, 5.7, 6.1], girl: [4.6, 4.8, 5.2, 5.6, 6.0] }, 45: { boy: [5.4, 5.6, 6.0, 6.4, 6.9], girl: [5.3, 5.5, 5.9, 6.3, 6.8] }, // 6 weeks 60: { boy: [6.0, 6.2, 6.6, 7.0, 7.5], girl: [5.9, 6.1, 6.5, 6.9, 7.4] }, // 2 months 90: { boy: [6.8, 7.0, 7.4, 7.8, 8.3], girl: [6.7, 6.9, 7.3, 7.7, 8.2] }, // 3 months 120: { boy: [7.4, 7.6, 8.0, 8.4, 8.9], girl: [7.3, 7.5, 7.9, 8.3, 8.8] }, // 4 months 180: { boy: [8.3, 8.5, 8.9, 9.3, 9.8], girl: [8.2, 8.4, 8.8, 9.2, 9.7] }, // 6 months 270: { boy: [9.3, 9.5, 9.9, 10.3, 10.8], girl: [9.2, 9.4, 9.8, 10.2, 10.7] }, // 9 months 365: { boy: [10.0, 10.2, 10.6, 11.0, 11.5], girl: [9.9, 10.1, 10.5, 10.9, 11.4] } // 12 months }; var chartInstance = null; function populateGrowthTable() { var boysBody = document.getElementById('boysData'); var girlsBody = document.getElementById('girlsData'); boysBody.innerHTML = "; girlsBody.innerHTML = "; var sortedAges = Object.keys(growthData).sort(function(a, b) { return parseInt(a) – parseInt(b); }); sortedAges.forEach(function(age) { var data = growthData[age]; var rowBoys = boysBody.insertRow(); var cellAgeBoys = rowBoys.insertCell(); cellAgeBoys.textContent = age + " days"; data.boy.forEach(function(weight, index) { var cell = rowBoys.insertCell(); cell.textContent = weight.toFixed(2); }); var rowGirls = girlsBody.insertRow(); var cellAgeGirls = rowGirls.insertCell(); cellAgeGirls.textContent = age + " days"; data.girl.forEach(function(weight, index) { var cell = rowGirls.insertCell(); cell.textContent = weight.toFixed(2); }); }); } function getPercentileData(age, gender) { var genderKey = gender === 'boy' ? 'boy' : 'girl'; var dataForGender = growthData[age]; if (dataForGender) { return dataForGender[genderKey]; } // Interpolate if age is not exact var ages = Object.keys(growthData).map(Number).sort(function(a, b) { return a – b; }); var lowerAge = ages.filter(function(a) { return a age; }).pop(); if (lowerAge === undefined || upperAge === undefined) { // Handle edge cases: before the first data point or after the last if (age ages[Object.keys(growthData).length – 1]) return growthData[ages[Object.keys(growthData).length – 1]][genderKey]; return null; // Should not happen with comprehensive data } var lowerData = growthData[lowerAge][genderKey]; var upperData = growthData[upperAge][genderKey]; var weightRange = 0.0001; // Smallest possible difference to avoid division by zero var interpolatedData = []; var ageRatio = (age – lowerAge) / (upperAge – lowerAge); for (var i = 0; i < lowerData.length; i++) { var interpolatedWeight = lowerData[i] + (upperData[i] – lowerData[i]) * ageRatio; interpolatedData.push(interpolatedWeight); } return interpolatedData; } function findPercentileRank(babyWeight, age, gender) { var percentileWeights = getPercentileData(age, gender); if (!percentileWeights) return null; var percentiles = [3, 15, 50, 85, 97]; var lowerIndex = -1; var upperIndex = -1; for (var i = 0; i = percentileWeights[i]) { lowerIndex = i; } else { upperIndex = i; break; } } if (lowerIndex === -1) { // Baby is lighter than the 3rd percentile return { rank: percentiles[0] / 2, category: "Underweight", equivalentAge: calculateEquivalentAge(babyWeight, age, gender, 50) }; } if (upperIndex === -1) { // Baby is heavier than the 97th percentile return { rank: (percentiles[percentiles.length – 1] + 100) / 2, category: "Overweight", equivalentAge: calculateEquivalentAge(babyWeight, age, gender, 50) }; } if (lowerIndex === upperIndex – 1) { // Weight falls between two percentiles var weightDiff = percentileWeights[upperIndex] – percentileWeights[lowerIndex]; var weightRatio = (babyWeight – percentileWeights[lowerIndex]) / (weightDiff > 0 ? weightDiff : 0.0001); // Avoid division by zero var rank = percentiles[lowerIndex] + (percentiles[upperIndex] – percentiles[lowerIndex]) * weightRatio; var category = getWeightCategory(rank); return { rank: rank, category: category, equivalentAge: calculateEquivalentAge(babyWeight, age, gender, 50) }; } else { // Weight matches exactly or is very close to a percentile var category = getWeightCategory(percentiles[lowerIndex]); return { rank: percentiles[lowerIndex], category: category, equivalentAge: calculateEquivalentAge(babyWeight, age, gender, 50) }; } } function calculateEquivalentAge(babyWeight, currentAge, gender, targetPercentile) { var ages = Object.keys(growthData).map(Number).sort(function(a, b) { return a – b; }); var maxAge = ages[ages.length – 1]; var minAge = ages[0]; for (var age = minAge; age <= maxAge; age++) { var percentileWeights = getPercentileData(age, gender); if (!percentileWeights) continue; var targetWeight; if (targetPercentile === 3) targetWeight = percentileWeights[0]; else if (targetPercentile === 15) targetWeight = percentileWeights[1]; else if (targetPercentile === 50) targetWeight = percentileWeights[2]; else if (targetPercentile === 85) targetWeight = percentileWeights[3]; else if (targetPercentile === 97) targetWeight = percentileWeights[4]; else return currentAge; // Fallback if target percentile not standard if (babyWeight <= targetWeight) { return age; } } // If baby weight is higher than the max weight in the chart for max age at target percentile return maxAge; } function getWeightCategory(percentileRank) { if (percentileRank = 10 && percentileRank 90) return "Higher End of Healthy Range"; return "N/A"; } function calculateNewbornWeightPercentile() { var babyWeight = parseFloat(document.getElementById('babyWeight').value); var babyAge = parseInt(document.getElementById('babyAge').value); var gender = document.getElementById('gender').value; var resultDiv = document.getElementById('result'); var mainResultSpan = document.getElementById('mainResult'); var equivalentAgeSpan = document.getElementById('equivalentAge'); var weightCategorySpan = document.getElementById('weightCategory'); // Clear previous errors document.getElementById('babyWeightError').style.display = 'none'; document.getElementById('babyAgeError').style.display = 'none'; document.getElementById('babyWeight').classList.remove('calc-input-error'); document.getElementById('babyAge').classList.remove('calc-input-error'); var isValid = true; if (isNaN(babyWeight) || babyWeight <= 0) { document.getElementById('babyWeightError').textContent = 'Please enter a valid weight (greater than 0).'; document.getElementById('babyWeightError').style.display = 'block'; document.getElementById('babyWeight').classList.add('calc-input-error'); isValid = false; } if (isNaN(babyAge) || babyAge < 0) { document.getElementById('babyAgeError').textContent = 'Please enter a valid age in days (0 or greater).'; document.getElementById('babyAgeError').style.display = 'block'; document.getElementById('babyAge').classList.add('calc-input-error'); isValid = false; } if (!isValid) { resultDiv.style.display = 'none'; return; } var percentileInfo = findPercentileRank(babyWeight, babyAge, gender); if (percentileInfo) { mainResultSpan.textContent = percentileInfo.rank.toFixed(1) + 'th Percentile'; equivalentAgeSpan.textContent = percentileInfo.equivalentAge + ' days'; weightCategorySpan.textContent = percentileInfo.category; resultDiv.style.display = 'block'; updateChart(babyWeight, babyAge, gender); } else { resultDiv.style.display = 'none'; alert("Could not calculate percentile. Please check your inputs or try again later."); // Fallback } } function resetCalculator() { document.getElementById('babyWeight').value = '3.5'; document.getElementById('babyAge').value = '7'; document.getElementById('gender').value = 'boy'; document.getElementById('result').style.display = 'none'; document.getElementById('babyWeightError').style.display = 'none'; document.getElementById('babyAgeError').style.display = 'none'; document.getElementById('babyWeight').classList.remove('calc-input-error'); document.getElementById('babyAge').classList.remove('calc-input-error'); if (chartInstance) { chartInstance.destroy(); chartInstance = null; } initializeChart(); // Re-initialize chart with defaults } function copyResults() { var mainResult = document.getElementById('mainResult').textContent; var equivalentAge = document.getElementById('equivalentAge').textContent; var weightCategory = document.getElementById('weightCategory').textContent; var babyWeight = document.getElementById('babyWeight').value; var babyAge = document.getElementById('babyAge').value; var gender = document.getElementById('gender').value; var textToCopy = "Newborn Weight Percentile Results:\n\n" + "Baby's Weight: " + babyWeight + " kg\n" + "Baby's Age: " + babyAge + " days\n" + "Baby's Gender: " + gender.charAt(0).toUpperCase() + gender.slice(1) + "\n\n" + "Weight Percentile Rank: " + mainResult + "\n" + "Equivalent Age for this Weight: " + equivalentAge + "\n" + "Weight Category: " + weightCategory; navigator.clipboard.writeText(textToCopy).then(function() { // Show a temporary confirmation message var tempButton = document.querySelector('button[onclick="copyResults()"]'); var originalText = tempButton.textContent; tempButton.textContent = 'Copied!'; tempButton.style.backgroundColor = '#28a745'; setTimeout(function() { tempButton.textContent = originalText; tempButton.style.backgroundColor = 'var(–primary-color)'; }, 2000); }).catch(function(err) { console.error('Failed to copy text: ', err); alert('Failed to copy results. Please copy manually.'); }); } function toggleFaq(element) { element.classList.toggle('open'); } function initializeChart() { var ctx = document.getElementById('growthChart').getContext('2d'); if (chartInstance) { chartInstance.destroy(); // Destroy previous instance if exists } chartInstance = new Chart(ctx, { type: 'line', data: { labels: [], // Will be populated datasets: [ { label: 'Baby\'s Weight', data: [], // Baby's actual weight points borderColor: 'var(–primary-color)', backgroundColor: 'rgba(0, 74, 153, 0.2)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 7 }, { label: '50th Percentile (Average)', data: [], // 50th percentile weights borderColor: 'var(–success-color)', backgroundColor: 'rgba(40, 167, 69, 0.2)', fill: false, tension: 0.1, pointRadius: 3, borderDash: [5, 5] }, { label: '15th Percentile', data: [], borderColor: '#ffc107', backgroundColor: 'rgba(255, 193, 7, 0.2)', fill: '-1', // Fill to previous dataset (50th percentile) tension: 0.1, pointRadius: 3, borderDash: [2, 2] }, { label: '85th Percentile', data: [], borderColor: '#ffc107', backgroundColor: 'rgba(255, 193, 7, 0.2)', fill: false, // Fill to previous dataset (15th percentile) tension: 0.1, pointRadius: 3, borderDash: [2, 2] } ] }, options: { responsive: true, maintainAspectRatio: true, scales: { x: { title: { display: true, text: 'Age (Days)' }, ticks: { maxTicksLimit: 10 // Adjust number of visible ticks } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: false } }, plugins: { legend: { position: 'top', }, title: { display: true, text: 'Baby\'s Weight vs. WHO Growth Percentiles' } } } }); } function updateChart(babyWeight, babyAge, gender) { if (!chartInstance) { initializeChart(); if (!chartInstance) return; // Ensure chart is initialized } var ages = Object.keys(growthData).map(Number).sort(function(a, b) { return a – b; }); var chartLabels = []; var babyWeightData = []; var p50Data = []; var p15Data = []; var p85Data = []; // Add baby's current data point chartLabels.push(babyAge.toString()); babyWeightData.push(babyWeight); // Populate percentile data for (var i = 0; i < ages.length; i++) { var currentAge = ages[i]; var percentileWeights = getPercentileData(currentAge, gender); if (percentileWeights) { chartLabels.push(currentAge.toString()); p50Data.push(percentileWeights[2]); // 50th percentile p15Data.push(percentileWeights[1]); // 15th percentile p85Data.push(percentileWeights[3]); // 85th percentile } } // Ensure baby's point is plotted correctly relative to chart data points // Add a point slightly before and after baby's age for line continuity if needed var ageBefore = Math.max(ages[0], babyAge – 2); var ageAfter = Math.min(ages[ages.length – 1], babyAge + 2); var p50Before = getPercentileData(ageBefore, gender)[2]; var p50After = getPercentileData(ageAfter, gender)[2]; var p15Before = getPercentileData(ageBefore, gender)[1]; var p15After = getPercentileData(ageAfter, gender)[1]; var p85Before = getPercentileData(ageBefore, gender)[3]; var p85After = getPercentileData(ageAfter, gender)[3]; // Add points for line continuity if baby's age is between chart points var indexBabyAge = chartLabels.indexOf(babyAge.toString()); if (indexBabyAge === -1) { chartLabels.push(babyAge.toString()); babyWeightData.push(babyWeight); p50Data.push(p50After); // Use value for ageAfter for continuity p15Data.push(p15After); p85Data.push(p85After); } else { // If baby's age is already a chart point, ensure weight is correct babyWeightData[indexBabyAge] = babyWeight; } // Sort all data points correctly for the chart line var combinedData = []; for(var i=0; i < chartLabels.length; i++){ combinedData.push({label: parseInt(chartLabels[i]), age: parseInt(chartLabels[i]), weight: babyWeightData[i]}); } combinedData.sort(function(a, b){ return a.age – b.age; }); chartLabels = combinedData.map(function(item){ return item.age.toString(); }); babyWeightData = combinedData.map(function(item){ return item.weight; }); // Update dataset sources chartInstance.data.labels = chartLabels; chartInstance.data.datasets[0].data = babyWeightData; // Baby's weight chartInstance.data.datasets[1].data = p50Data; // 50th percentile chartInstance.data.datasets[2].data = p15Data; // 15th percentile chartInstance.data.datasets[3].data = p85Data; // 85th percentile chartInstance.update(); } // Initialize chart on page load window.onload = function() { populateGrowthTable(); initializeChart(); // Set default values and trigger calculation on load document.getElementById('babyWeight').value = '3.5'; document.getElementById('babyAge').value = '7'; document.getElementById('gender').value = 'boy'; calculateNewbornWeightPercentile(); };

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