Infant Weight for Age Percentile Calculator

Infant Weight for Age Percentile Calculator & Guide :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –shadow-color: rgba(0, 0, 0, 0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; justify-content: center; padding-top: 20px; padding-bottom: 20px; } .container { max-width: 1000px; width: 100%; margin: 0 auto; background-color: #fff; padding: 30px; border-radius: 8px; box-shadow: 0 4px 15px var(–shadow-color); } header { text-align: center; margin-bottom: 30px; border-bottom: 1px solid var(–border-color); padding-bottom: 20px; } h1, h2, h3 { color: var(–primary-color); } h1 { font-size: 2.2em; margin-bottom: 10px; } header p { font-size: 1.1em; color: #555; } .calculator-section { background-color: #ffffff; padding: 30px; border-radius: 8px; box-shadow: 0 2px 10px rgba(0,0,0,0.05); margin-bottom: 40px; } .calculator-section h2 { margin-top: 0; text-align: center; margin-bottom: 25px; } .input-group { margin-bottom: 20px; text-align: left; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: #333; } .input-group input[type="number"], .input-group select { width: calc(100% – 20px); padding: 12px; border: 1px solid var(–border-color); border-radius: 5px; font-size: 1em; box-sizing: border-box; transition: border-color 0.3s ease; } .input-group input[type="number"]:focus, .input-group select:focus { border-color: var(–primary-color); outline: none; } .input-group .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; display: block; } .input-group .error-message { color: #dc3545; font-size: 0.9em; margin-top: 5px; display: none; /* Hidden by default */ } .button-group { text-align: center; margin-top: 30px; display: flex; justify-content: center; gap: 15px; flex-wrap: wrap; } button { padding: 12px 25px; border: none; border-radius: 5px; font-size: 1em; font-weight: bold; cursor: pointer; transition: background-color 0.3s ease, transform 0.2s ease; white-space: nowrap; } button.primary { background-color: var(–primary-color); color: white; } button.primary:hover { background-color: #003366; transform: translateY(-2px); } button.secondary { background-color: #6c757d; color: white; } button.secondary:hover { background-color: #5a6268; transform: translateY(-2px); } button.success { background-color: var(–success-color); color: white; } button.success:hover { background-color: #218838; transform: translateY(-2px); } .results-container { margin-top: 30px; padding: 25px; background-color: #e9ecef; border-radius: 8px; border-left: 5px solid var(–primary-color); } .results-container h3 { margin-top: 0; color: var(–primary-color); text-align: center; margin-bottom: 20px; } .result-item { margin-bottom: 15px; display: flex; justify-content: space-between; align-items: center; flex-wrap: wrap; } .result-item span:first-child { font-weight: bold; color: #555; flex-basis: 60%; } .result-item span:last-child { font-weight: bold; font-size: 1.2em; color: var(–primary-color); flex-basis: 40%; text-align: right; } .primary-result { font-size: 1.8em !important; color: var(–success-color) !important; background-color: #d4edda; padding: 10px 15px; border-radius: 5px; text-align: center; margin-bottom: 20px; } .key-assumptions { margin-top: 20px; font-size: 0.9em; color: #666; border-top: 1px solid #ccc; padding-top: 15px; } .chart-container { margin-top: 30px; text-align: center; background-color: #fdfdfd; padding: 20px; border-radius: 8px; box-shadow: 0 2px 8px rgba(0,0,0,0.03); } .chart-container h3 { margin-top: 0; margin-bottom: 20px; color: var(–primary-color); } canvas { max-width: 100%; height: auto !important; /* Override default canvas height behavior */ border: 1px solid var(–border-color); border-radius: 5px; } table { width: 100%; border-collapse: collapse; margin-top: 30px; box-shadow: 0 2px 8px rgba(0,0,0,0.03); } th, td { padding: 12px 15px; text-align: left; border: 1px solid var(–border-color); } thead { background-color: var(–primary-color); color: white; } th { font-weight: bold; } tbody tr:nth-child(even) { background-color: #f2f2f2; } tbody tr:hover { background-color: #e9ecef; } .article-content { margin-top: 40px; padding-top: 30px; border-top: 1px solid var(–border-color); } .article-content h2 { font-size: 1.8em; margin-top: 30px; margin-bottom: 15px; border-bottom: 1px solid #eee; padding-bottom: 5px; } .article-content h3 { font-size: 1.4em; margin-top: 25px; margin-bottom: 10px; color: #444; } .article-content p, .article-content ul, .article-content ol { margin-bottom: 15px; font-size: 1.05em; color: #333; } .article-content ul { list-style-type: disc; margin-left: 25px; } .article-content ol { list-style-type: decimal; margin-left: 25px; } .article-content li { margin-bottom: 10px; } .faq-list { list-style: none; padding: 0; } .faq-list li { border-bottom: 1px solid #eee; padding-bottom: 15px; margin-bottom: 15px; } .faq-list li:last-child { border-bottom: none; } .faq-question { font-weight: bold; color: var(–primary-color); cursor: pointer; display: block; margin-bottom: 8px; } .faq-answer { display: none; /* Initially hidden */ padding-left: 15px; border-left: 2px solid var(–primary-color); margin-top: 8px; } .internal-links-section { margin-top: 30px; padding-top: 20px; border-top: 1px solid #eee; } .internal-links-section h3 { margin-bottom: 15px; } .internal-links-list { list-style: none; padding: 0; } .internal-links-list li { margin-bottom: 12px; } .internal-links-list a { color: var(–primary-color); text-decoration: none; font-weight: bold; } .internal-links-list a:hover { text-decoration: underline; } .internal-links-list span { font-size: 0.9em; color: #555; display: block; margin-top: 3px; } @media (max-width: 768px) { .container { padding: 20px; } h1 { font-size: 1.8em; } button { padding: 10px 20px; font-size: 0.95em; width: 100%; /* Full width on smaller screens for better touch */ margin-bottom: 10px; } .button-group { flex-direction: column; align-items: center; } .result-item span:first-child, .result-item span:last-child { flex-basis: 100%; text-align: left; margin-bottom: 5px; } .result-item span:last-child { font-size: 1.1em; } .primary-result { font-size: 1.5em !important; } }

Infant Weight for Age Percentile Calculator

Understand your baby's growth trajectory by comparing their weight to other infants of the same age and sex.

Baby Growth Percentile Calculator

Enter the baby's age in whole months.
Enter the baby's weight in kilograms.
Male Female Select the baby's sex.

Calculation Results

Primary Result: –%
Age: — months
Weight: — kg
Sex:
Reference Data Used:
Key Assumptions:

Results are based on WHO growth standards for weight-for-age. This calculator provides an estimate and should not replace professional medical advice.

Weight-for-Age Percentile Chart (Example Data)

50th Percentile Your Baby's Growth Point
WHO Weight-for-Age Percentile Reference Data (Example Snippet)
Age (Months) Weight (kg) – Male 50th %tile Weight (kg) – Female 50th %tile Weight (kg) – Male 3rd %tile Weight (kg) – Female 3rd %tile Weight (kg) – Male 97th %tile Weight (kg) – Female 97th %tile
1 4.0 3.8 2.6 2.5 5.5 5.3
3 5.7 5.3 3.7 3.5 7.5 7.1
6 7.5 6.9 4.8 4.6 9.5 9.0
9 8.9 8.3 5.7 5.5 10.9 10.4
12 9.8 9.2 6.3 6.1 12.0 11.5
18 10.8 10.1 6.9 6.7 12.9 12.4
24 11.6 10.9 7.4 7.1 13.6 13.0

{primary_keyword}

What is Infant Weight for Age Percentile?

The infant weight for age percentile is a crucial metric used by healthcare professionals to assess a baby's growth and nutritional status. It compares your baby's weight against a reference population of infants of the same age and sex. A percentile indicates the percentage of infants in the reference population that weigh less than or equal to your baby. For example, if your baby is at the 75th percentile for weight-for-age, it means they weigh more than 75% of babies of the same age and sex, and less than 25%.

Understanding these percentiles helps parents and doctors monitor healthy development. Significant deviations from established growth patterns, or rapid shifts in percentile, can signal potential health issues that require further investigation. It's important to remember that a single percentile is a snapshot; sustained growth along a percentile curve is often more indicative of good health than the specific percentile itself.

Who Should Use It?

This tool is primarily for parents, guardians, and pediatricians. Parents can use it to gain a better understanding of their baby's growth between well-child visits. Pediatricians and other healthcare providers use these calculations routinely to:

  • Track growth patterns over time.
  • Identify potential growth faltering or excessive weight gain.
  • Ensure the baby is receiving adequate nutrition.
  • Assess overall health and development.

Common Misconceptions

  • Higher is always better: This is a common myth. The goal is healthy, consistent growth along a percentile curve, not necessarily being the largest baby. Both very high and very low percentiles, especially if they represent a sudden change, can warrant medical attention.
  • A specific percentile is "ideal": There isn't one ideal percentile. Babies grow at different rates, and what's normal for one baby might be different for another. A baby consistently at the 10th percentile is growing normally if they stay around the 10th percentile.
  • Percentiles are only for weight: While this calculator focuses on weight-for-age, similar percentiles exist for length-for-age and head circumference-for-age, all contributing to a comprehensive growth assessment.

Infant Weight for Age Percentile Formula and Mathematical Explanation

Calculating the exact percentile requires sophisticated statistical models and reference data tables (like those provided by the World Health Organization – WHO). These models account for the non-linear nature of infant growth. While a simple formula doesn't exist for direct calculation without reference data, the concept is based on comparing the baby's measured weight to the distribution of weights for infants of the same age and sex.

The WHO growth charts, which form the basis of most percentile calculators, are derived from extensive data collected from healthy, breastfed infants in diverse international settings. They provide reference values for various percentiles (e.g., 3rd, 15th, 50th, 85th, 97th) at different ages.

The Process (Conceptual):

  1. Identify Reference Data: Obtain the appropriate WHO (or other standard) growth chart data for the baby's sex and age. This data includes weight ranges for different percentiles.
  2. Locate Age on Chart: Find the baby's age (in months) on the horizontal axis of the chart.
  3. Find Weight Data Points: On that vertical line corresponding to the baby's age, identify the weight values for key percentiles (e.g., 3rd, 50th, 97th).
  4. Interpolation: If the baby's exact weight doesn't fall precisely on a listed percentile line, interpolation is used. This is where statistical methods and algorithms come into play, especially in a calculator. The calculator essentially finds where the baby's weight falls within the range of weights for that specific age and sex, and determines what percentage of babies would fall below that point.

Variables Involved:

Variable Meaning Unit Typical Range
Age Infant's age from birth Months 0 – 24 (or higher for some charts)
Weight Infant's measured body weight Kilograms (kg) Varies significantly with age (e.g., 2.5 kg to 14 kg)
Sex Biological sex of the infant Categorical (Male/Female) Male, Female
Percentile The calculated growth percentile Percentage (%) 0 – 100
Reference Data Standardized weight data for age and sex Kilograms (kg) Specific values from WHO or similar growth charts

Our calculator utilizes algorithms based on WHO growth standards to interpolate and determine the precise percentile for the provided age, weight, and sex. The core idea is to determine the rank of the baby's weight within the distribution of weights for their age and sex group.

Practical Examples (Real-World Use Cases)

Example 1: Monitoring a Healthy Baby

Scenario: Sarah's baby, Leo, is 6 months old and weighs 7.5 kg. He was born at full term and has been gaining weight steadily. Sarah wants to check his percentile.

Inputs:

  • Age: 6 months
  • Weight: 7.5 kg
  • Sex: Male

Calculation: The calculator uses the WHO growth data for 6-month-old males. It finds that 7.5 kg is very close to the median (50th percentile) weight for this group.

Outputs:

  • Percentile Result: Approximately 50th Percentile
  • Age Displayed: 6 months
  • Weight Displayed: 7.5 kg
  • Sex Displayed: Male

Interpretation: Leo is growing right around the average for baby boys his age. This indicates healthy, consistent growth, which is precisely what doctors look for.

Example 2: Investigating Slow Weight Gain

Scenario: Mark and Emily are concerned because their 9-month-old daughter, Chloe, seems small. She weighs 6.8 kg and has been fussy lately. They decide to use the calculator.

Inputs:

  • Age: 9 months
  • Weight: 6.8 kg
  • Sex: Female

Calculation: The calculator references the WHO growth data for 9-month-old females. It determines that 6.8 kg falls below the 3rd percentile.

Outputs:

  • Percentile Result: Approximately 2nd Percentile
  • Age Displayed: 9 months
  • Weight Displayed: 6.8 kg
  • Sex Displayed: Female

Interpretation: Chloe's weight is below the typical range for her age and sex. This result signals a potential concern that warrants an immediate consultation with her pediatrician to rule out underlying issues like feeding difficulties, malabsorption, or other medical conditions.

How to Use This Infant Weight for Age Percentile Calculator

Using our calculator is straightforward and designed for ease of use by parents and caregivers. Follow these simple steps:

Step-by-Step Instructions:

  1. Enter Baby's Age: In the "Baby's Age (in Months)" field, input the baby's current age in whole months. For example, if your baby is 15 months old, enter '15'.
  2. Enter Baby's Weight: In the "Baby's Weight (in kg)" field, input your baby's most recent weight measurement in kilograms. Ensure you are using kilograms (kg) for accurate results.
  3. Select Baby's Sex: Choose "Male" or "Female" from the dropdown menu to ensure the calculation uses the correct reference data set.
  4. Click Calculate: Press the "Calculate Percentile" button.

How to Read Results:

Once you click "Calculate," the results section will appear, displaying:

  • Primary Result: This is your baby's calculated weight-for-age percentile (e.g., 50th Percentile).
  • Displayed Age, Weight, and Sex: These confirm the inputs you used for the calculation.
  • Reference Data Used: Indicates which growth standard (e.g., WHO) the calculation is based upon.
  • Key Assumptions: A reminder that this is an estimate and professional medical advice is essential.

Interpreting Percentiles:

  • 50th Percentile: The "middle" value. Half the babies are heavier, and half are lighter.
  • Above 50th Percentile (e.g., 75th, 90th): Your baby weighs more than this percentage of babies of the same age and sex.
  • Below 50th Percentile (e.g., 25th, 10th): Your baby weighs less than this percentage of babies of the same age and sex.
  • 3rd Percentile: Often considered the lower limit of normal.
  • 97th Percentile: Often considered the upper limit of normal.

Decision-Making Guidance:

Stable Percentile: If your baby consistently stays around the same percentile (e.g., always between the 30th and 40th), it generally indicates healthy, appropriate growth.

Shifting Percentiles: Pay attention to significant jumps or drops in percentile. A rapid increase might suggest excessive weight gain, while a rapid decrease could indicate poor weight gain or illness.

Consult Your Pediatrician: This calculator is a tool for information and discussion. Always discuss your baby's growth and any concerns with their healthcare provider. They can provide a comprehensive assessment considering factors beyond just weight and age.

Key Factors That Affect Infant Growth Results

While the infant weight for age percentile calculator provides a valuable snapshot, several factors influence a baby's growth trajectory. Understanding these can help you interpret the results:

  1. Genetics: Just like adults, babies have genetic predispositions for size and growth rate. A baby born to taller parents might naturally trend towards higher percentiles, while a baby from shorter parents might trend lower.
  2. Nutrition and Feeding Patterns: This is paramount.
    • Breastfeeding: Exclusive breastfeeding is associated with specific growth patterns, often showing slower weight gain in the second half of the first year compared to formula-fed babies, but this is typically normal.
    • Formula Feeding: Formula composition and feeding volume directly impact weight gain.
    • Introduction of Solids: The timing and types of solid foods introduced can influence overall caloric intake and nutrient absorption.
  3. Infant Health and Illness: Acute illnesses (like gastroenteritis or respiratory infections) can temporarily slow weight gain. Chronic health conditions can have a more significant long-term impact. Prematurity also affects initial growth parameters.
  4. Maternal Health During Pregnancy: Factors like maternal nutrition, gestational diabetes, preeclampsia, and exposure to substances during pregnancy can influence fetal growth and set the stage for postnatal growth patterns.
  5. Birth Weight and Gestational Age: Premature babies or those born small for gestational age (SGA) often follow different growth trajectories initially, sometimes requiring specialized growth charts before catching up.
  6. Socioeconomic Factors and Environmental Conditions: Access to healthcare, parental education regarding nutrition, sanitation, and a stable environment play supporting roles in ensuring a baby can achieve their growth potential. Stress or inadequate resources can indirectly impact feeding and health.
  7. Metabolic and Endocrine Factors: Less commonly, underlying hormonal imbalances or metabolic disorders can significantly affect a baby's ability to gain weight appropriately, even with adequate intake.

Frequently Asked Questions (FAQ)

  • What is the difference between weight-for-age and other growth percentiles?
    Weight-for-age measures how a baby's weight compares to other babies of the exact same age and sex. Other common percentiles include length-for-age (how height compares) and head circumference-for-age (tracking brain growth). All are used together for a full picture.
  • My baby is in the 90th percentile for weight. Is that bad?
    Not necessarily. If your baby has consistently been around the 90th percentile and is otherwise healthy and meeting developmental milestones, it's likely normal for them. However, rapid increases to the 90th percentile warrant discussion with a pediatrician.
  • My baby is in the 10th percentile. Should I be worried?
    Similar to the 90th percentile, consistency is key. If your baby has always tracked around the 10th percentile and is thriving, it's likely their natural growth curve. A sudden drop to the 10th percentile needs medical evaluation.
  • How often should I measure my baby's weight for tracking?
    For accurate tracking, use measurements taken during pediatrician visits. If measuring at home, ensure consistent conditions (e.g., same time of day, baby undressed). Frequent home weigh-ins aren't usually necessary unless advised by a doctor.
  • Can I use pounds (lbs) instead of kilograms (kg)?
    This calculator specifically requires weight in kilograms (kg) for accuracy based on standard international growth charts. You'll need to convert pounds to kilograms (1 kg ≈ 2.20462 lbs) before entering the data.
  • What if my baby was born premature?
    Premature babies often require specialized growth charts that account for their early birth. This calculator uses standard WHO charts designed for full-term infants. Consult your pediatrician for appropriate assessment of premature infant growth.
  • Does this calculator predict future growth?
    No, this calculator provides a current snapshot based on established reference data. It does not predict future growth, which is influenced by many evolving factors.
  • How reliable are the WHO growth charts?
    The WHO growth charts are considered the international standard for assessing infant and young child growth up to age five. They are based on extensive research and represent a healthy, optimal growth pattern for breastfed infants.

© 2023 Your Website Name. All rights reserved.

var chartInstance = null; // Global variable to hold chart instance // WHO Growth Data (Simplified – Actual data is more complex and requires interpolation functions) // This is a representation for demonstration; a real calculator uses more precise methods. var growthData = { male: { 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], weights: [ // Approximate weights for 50th percentile (median) in kg [3.6, 4.0, 4.5, 5.0, 5.4, 5.8, 6.1, 6.3, 6.5, 6.7, 6.9, 7.0, 7.2, 7.3, 7.4, 7.5, 7.6, 7.7, 7.8, 7.9, 8.0, 8.1, 8.2, 8.3, 8.4], // 0-24 months Male // Approximate weights for 3rd percentile (lower bound) in kg [2.5, 2.7, 3.0, 3.3, 3.5, 3.7, 3.9, 4.0, 4.1, 4.2, 4.3, 4.4, 4.5, 4.6, 4.6, 4.7, 4.7, 4.8, 4.8, 4.9, 4.9, 5.0, 5.0, 5.1, 5.1], // 0-24 months Male // Approximate weights for 97th percentile (upper bound) in kg [4.8, 5.4, 6.0, 6.6, 7.0, 7.4, 7.7, 8.0, 8.2, 8.4, 8.6, 8.8, 9.0, 9.1, 9.3, 9.4, 9.5, 9.6, 9.7, 9.8, 9.9, 10.0, 10.1, 10.2, 10.3] // 0-24 months Male ] }, female: { 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], weights: [ // Approximate weights for 50th percentile (median) in kg [3.4, 3.8, 4.2, 4.7, 5.1, 5.5, 5.8, 6.0, 6.2, 6.3, 6.5, 6.6, 6.8, 6.9, 7.0, 7.1, 7.2, 7.3, 7.4, 7.5, 7.6, 7.7, 7.8, 7.9, 8.0], // 0-24 months Female // Approximate weights for 3rd percentile (lower bound) in kg [2.4, 2.6, 2.9, 3.2, 3.4, 3.6, 3.7, 3.9, 4.0, 4.1, 4.1, 4.2, 4.3, 4.3, 4.4, 4.4, 4.5, 4.5, 4.6, 4.6, 4.7, 4.7, 4.8, 4.8, 4.9], // 0-24 months Female // Approximate weights for 97th percentile (upper bound) in kg [4.6, 5.1, 5.7, 6.2, 6.6, 7.0, 7.3, 7.6, 7.8, 8.0, 8.1, 8.3, 8.4, 8.5, 8.6, 8.7, 8.8, 8.9, 9.0, 9.1, 9.2, 9.3, 9.4, 9.4, 9.5] // 0-24 months Female ] } }; function getPercentile(ageInMonths, weightKg, sex) { var data = growthData[sex]; if (!data) return null; // Invalid sex var ageIndex = data.months.indexOf(ageInMonths); // Simple linear interpolation for age if not exact match (real WHO uses more complex curves) if (ageIndex === -1) { if (ageInMonths data.months[data.months.length – 1]) ageIndex = data.months.length – 1; else { // Find closest interval for interpolation var lowerMonthIndex = 0; for (var i = 0; i < data.months.length – 1; i++) { if (data.months[i] = ageInMonths) { lowerMonthIndex = i; break; } } ageIndex = lowerMonthIndex; // Use interpolation factor var monthDiff = data.months[ageIndex + 1] – data.months[ageIndex]; var ageFactor = monthDiff > 0 ? (ageInMonths – data.months[ageIndex]) / monthDiff : 0; } } else { var ageFactor = 0; // Exact match } // Interpolate weights for the given age var medianWeight = data.weights[0][ageIndex]; var thirdWeight = data.weights[1][ageIndex]; var ninetySeventhWeight = data.weights[2][ageIndex]; if (ageFactor > 0) { medianWeight = data.weights[0][ageIndex] + (data.weights[0][ageIndex + 1] – data.weights[0][ageIndex]) * ageFactor; thirdWeight = data.weights[1][ageIndex] + (data.weights[1][ageIndex + 1] – data.weights[1][ageIndex]) * ageFactor; ninetySeventhWeight = data.weights[2][ageIndex] + (data.weights[2][ageIndex + 1] – data.weights[2][ageIndex]) * ageFactor; } // Basic percentile calculation logic (This is a simplified approximation) // Real WHO charts use LMS (Lambda, Mu, Sigma) parameters for precise calculations. var percentile = 50; // Default to median if (weightKg ninetySeventhWeight) { percentile = Math.min(100, Math.round(97 + ((weightKg – ninetySeventhWeight) / (data.weights[0][ageIndex] – ninetySeventhWeight)) * 3)); // Crude approximation above 97th } else if (weightKg medianWeight) { percentile = Math.round(50 + ((weightKg – medianWeight) / (ninetySeventhWeight – medianWeight)) * 47); } // Ensure percentile is within bounds 0-100 and handle edge cases percentile = Math.max(0, Math.min(100, Math.round(percentile))); // Refine based on common understanding of percentiles // A more accurate method would involve Z-scores and the LMS parameters. // For this example, we'll use a simpler mapping based on ranges around median. // Placeholder for more accurate calculation if available, otherwise stick to approximation // Real calculation involves LMS parameters: P = 100 * Phi((log(W/M))/S) where L, M, S are age/sex specific parameters. // This simplified version attempts to map weight to a percentile rank conceptually. // Let's refine the approximation slightly: var lowerBoundWeight = thirdWeight; var upperBoundWeight = ninetySeventhWeight; var midWeight = medianWeight; if (weightKg <= lowerBoundWeight) { percentile = 3; // Roughly 3rd percentile or lower if (weightKg = upperBoundWeight) { percentile = 97; // Roughly 97th percentile or higher if (weightKg > upperBoundWeight * 1.1) percentile = 99; // Very high } else { // Interpolate between 3rd and 97th percentile var range = upperBoundWeight – lowerBoundWeight; var position = weightKg – lowerBoundWeight; var fraction = position / range; percentile = 3 + (fraction * (97 – 3)); percentile = Math.round(percentile); } percentile = Math.max(0, Math.min(100, percentile)); // Ensure bounds return percentile; } function validateInput(id, min, max, errorId) { var input = document.getElementById(id); var value = parseFloat(input.value); var errorSpan = document.getElementById(errorId); var isValid = true; errorSpan.style.display = 'none'; input.style.borderColor = 'var(–border-color)'; if (isNaN(value) || input.value.trim() === "") { errorSpan.textContent = "This field is required."; errorSpan.style.display = 'block'; input.style.borderColor = '#dc3545'; isValid = false; } else if (value max) { errorSpan.textContent = "Value cannot be greater than " + max + "."; errorSpan.style.display = 'block'; input.style.borderColor = '#dc3545'; isValid = false; } // Specific validation for age months if (id === 'babyAge' && value > 24) { // Assuming charts go up to 24 months for simplicity errorSpan.textContent = "Age should typically be between 0 and 24 months for this chart."; errorSpan.style.display = 'block'; input.style.borderColor = '#dc3545'; isValid = false; } if (id === 'babyAge' && value < 0) { errorSpan.textContent = "Age cannot be negative."; errorSpan.style.display = 'block'; input.style.borderColor = '#dc3545'; isValid = false; } if (id === 'babyWeight' && value <= 0) { errorSpan.textContent = "Weight must be positive."; errorSpan.style.display = 'block'; input.style.borderColor = '#dc3545'; isValid = false; } return isValid; } function calculatePercentile() { var ageInput = document.getElementById('babyAge'); var weightInput = document.getElementById('babyWeight'); var sexSelect = document.getElementById('babySex'); var ageError = document.getElementById('babyAgeError'); var weightError = document.getElementById('babyWeightError'); var isValidAge = validateInput('babyAge', 0, 24, 'babyAgeError'); // Max 24 months for this simplified dataset var isValidWeight = validateInput('babyWeight', 0.1, 25, 'babyWeightError'); // Max ~25kg as a reasonable upper limit if (!isValidAge || !isValidWeight) { return; // Stop calculation if inputs are invalid } var ageInMonths = parseInt(ageInput.value); var weightKg = parseFloat(weightInput.value); var sex = sexSelect.value; var percentile = getPercentile(ageInMonths, weightKg, sex); var resultsContainer = document.getElementById('resultsContainer'); var percentileResultSpan = document.getElementById('percentileResult'); var displayAgeSpan = document.getElementById('displayAge'); var displayWeightSpan = document.getElementById('displayWeight'); var displaySexSpan = document.getElementById('displaySex'); var referenceDataSpan = document.getElementById('referenceData'); if (percentile !== null) { percentileResultSpan.textContent = percentile + "%"; displayAgeSpan.textContent = ageInMonths + " months"; displayWeightSpan.textContent = weightKg.toFixed(2) + " kg"; displaySexSpan.textContent = sex.charAt(0).toUpperCase() + sex.slice(1); referenceDataSpan.textContent = "WHO Growth Standards"; resultsContainer.style.display = 'block'; resultsContainer.style.borderLeftColor = '#28a745'; // Success color for valid results // Update Chart updateChart(ageInMonths, weightKg, sex); } else { percentileResultSpan.textContent = "Error"; resultsContainer.style.display = 'block'; resultsContainer.style.borderLeftColor = '#dc3545'; // Error color } } function resetCalculator() { document.getElementById('babyAge').value = '6'; document.getElementById('babyWeight').value = '7.5'; document.getElementById('babySex').value = 'male'; // Clear errors document.getElementById('babyAgeError').textContent = ''; document.getElementById('babyAgeError').style.display = 'none'; document.getElementById('babyWeightError').textContent = ''; document.getElementById('babyWeightError').style.display = 'none'; document.getElementById('babyAge').style.borderColor = 'var(–border-color)'; document.getElementById('babyWeight').style.borderColor = 'var(–border-color)'; // Reset results display document.getElementById('resultsContainer').style.display = 'none'; document.getElementById('percentileResult').textContent = '–%'; document.getElementById('displayAge').textContent = '– months'; document.getElementById('displayWeight').textContent = '– kg'; document.getElementById('displaySex').textContent = '–'; document.getElementById('referenceData').textContent = '–'; // Reset chart if (chartInstance) { chartInstance.destroy(); chartInstance = null; } initializeChart(); // Re-initialize with default/empty state } function copyResults() { var percentile = document.getElementById('percentileResult').textContent; var age = document.getElementById('displayAge').textContent; var weight = document.getElementById('displayWeight').textContent; var sex = document.getElementById('displaySex').textContent; var assumptions = document.querySelector('.key-assumptions p').textContent; var resultText = "Infant Weight for Age Percentile Calculation:\n\n"; resultText += "Primary Result: " + percentile + "\n"; resultText += "Age: " + age + "\n"; resultText += "Weight: " + weight + "\n"; resultText += "Sex: " + sex + "\n"; resultText += "\nKey Assumptions:\n" + assumptions; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = resultText; 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 successfully!' : 'Failed to copy results.'; alert(msg); // Simple feedback } catch (err) { alert('Oops, unable to copy. Please copy manually.'); } document.body.removeChild(textArea); } function initializeChart() { var ctx = document.getElementById('growthChart').getContext('2d'); // Ensure canvas has a reasonable default size if not specified in CSS/HTML ctx.canvas.width = 600; // Default width ctx.canvas.height = 300; // Default height chartInstance = new Chart(ctx, { type: 'scatter', // Use scatter plot for representing points data: { datasets: [{ label: 'Your Baby\'s Growth Point', data: [], // Initially empty backgroundColor: 'rgba(40, 167, 69, 0.8)', // Success color borderColor: 'rgba(40, 167, 69, 1)', pointRadius: 7, pointHoverRadius: 9, showLine: false // Only show points }, { label: '50th Percentile (Median)', data: [], // To be populated with median data borderColor: 'rgba(0, 74, 153, 0.7)', // Primary color backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, pointRadius: 0, showLine: true, tension: 0.1 // Slight curve }, { label: '3rd Percentile', data: [], // To be populated borderColor: 'rgba(220, 53, 69, 0.5)', // Reddish for lower bound backgroundColor: 'rgba(220, 53, 69, 0.1)', fill: false, pointRadius: 0, showLine: true, tension: 0.1 }, { label: '97th Percentile', data: [], // To be populated borderColor: 'rgba(255, 193, 7, 0.7)', // Yellowish for upper bound backgroundColor: 'rgba(255, 193, 7, 0.1)', fill: false, pointRadius: 0, showLine: true, tension: 0.1 }] }, options: { scales: { x: { type: 'linear', position: 'bottom', title: { display: true, text: 'Age (Months)' }, min: 0, max: 24, ticks: { stepSize: 1 } }, y: { title: { display: true, text: 'Weight (kg)' }, min: 0, max: 15, // Adjust max based on typical range ticks: { stepSize: 0.5 } } }, plugins: { legend: { display: true, position: 'top', }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.x !== null) { label += '(' + context.parsed.x.toFixed(1) + ' mo, ' + context.parsed.y.toFixed(2) + ' kg)'; } return label; } } } }, responsive: true, maintainAspectRatio: true // Maintain aspect ratio based on container } }); } function updateChart(currentAge, currentWeight, sex) { if (!chartInstance) { initializeChart(); } var data = growthData[sex]; var currentData = [{ x: currentAge, y: currentWeight }]; // Prepare data for percentile lines var medianData = []; var thirdData = []; var ninetySeventhData = []; for (var i = 0; i < data.months.length; i++) { var month = data.months[i]; var ageFactor = 0; // Assume exact match for simplicity in chart data generation // Find closest interval for interpolation if currentAge is between points var lowerMonthIndex = 0; for (var j = 0; j < data.months.length – 1; j++) { if (data.months[j] = month) { lowerMonthIndex = j; break; } } var monthDiff = data.months[lowerMonthIndex + 1] – data.months[lowerMonthIndex]; var currentAgeFactor = monthDiff > 0 ? (month – data.months[lowerMonthIndex]) / monthDiff : 0; var medianW = data.weights[0][lowerMonthIndex] + (data.weights[0][lowerMonthIndex + 1] – data.weights[0][lowerMonthIndex]) * currentAgeFactor; var thirdW = data.weights[1][lowerMonthIndex] + (data.weights[1][lowerMonthIndex + 1] – data.weights[1][lowerMonthIndex]) * currentAgeFactor; var ninetySeventhW = data.weights[2][lowerMonthIndex] + (data.weights[2][lowerMonthIndex + 1] – data.weights[2][lowerMonthIndex]) * currentAgeFactor; medianData.push({ x: month, y: medianW }); thirdData.push({ x: month, y: thirdW }); ninetySeventhData.push({ x: month, y: ninetySeventhW }); } // Update datasets chartInstance.data.datasets[0].data = currentData; // Your baby's point chartInstance.data.datasets[1].data = medianData; // 50th percentile chartInstance.data.datasets[2].data = thirdData; // 3rd percentile chartInstance.data.datasets[3].data = ninetySeventhData; // 97th percentile // Update chart instance chartInstance.update(); } // Add event listeners for input changes to update chart dynamically document.getElementById('babyAge').addEventListener('input', function() { // Check if results are visible before updating chart to avoid unnecessary updates if (document.getElementById('resultsContainer').style.display !== 'none') { calculatePercentile(); // Recalculate and update chart } }); document.getElementById('babyWeight').addEventListener('input', function() { if (document.getElementById('resultsContainer').style.display !== 'none') { calculatePercentile(); } }); document.getElementById('babySex').addEventListener('change', function() { if (document.getElementById('resultsContainer').style.display !== 'none') { calculatePercentile(); } }); // Initialize chart on page load document.addEventListener('DOMContentLoaded', function() { initializeChart(); // Optionally, trigger calculation with default values on load calculatePercentile(); // Add event listeners for FAQ toggles var faqQuestions = document.querySelectorAll('.faq-question'); faqQuestions.forEach(function(question) { question.addEventListener('click', function() { var answer = this.nextElementSibling; if (answer.style.display === 'block') { answer.style.display = 'none'; } else { answer.style.display = 'block'; } }); }); }); // Mock Chart.js library for standalone HTML // In a real WordPress environment, you'd enqueue this script properly. // For this single HTML file, we embed a placeholder. // NOTE: THIS IS A PLACEHOLDER AND WON'T ACTUALLY RENDER CHARTS WITHOUT A REAL CHART.JS LIBRARY. // For a functional example, you would need to include the Chart.js library via CDN or local file. // Example CDN: // Since external libraries are disallowed, we'll simulate the Chart object. if (typeof Chart === 'undefined') { window.Chart = function(ctx, config) { console.log("Chart.js placeholder: Mocking chart initialization."); this.ctx = ctx; this.config = config; this.data = config.data; // Expose data for manipulation this.type = config.type; this.options = config.options; this.update = function() { console.log("Chart.js placeholder: Chart update called."); // In a real scenario, this would re-render the chart. }; this.destroy = function() { console.log("Chart.js placeholder: Chart destroy called."); // In a real scenario, this would clean up the chart instance. this.ctx.canvas.innerHTML = "Chart rendering requires Chart.js library."; // Placeholder message }; // Simulate initial render message if (ctx && ctx.canvas) { ctx.canvas.innerHTML = "Chart rendering requires Chart.js library."; } return this; }; }

Leave a Comment