Calculate Child Weight by Age

Child Weight by Age Calculator: Track Your Child's Growth body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: #f8f9fa; color: #333; line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: #fff; border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1); display: flex; flex-direction: column; align-items: center; } header { background-color: #004a99; color: #fff; padding: 20px 0; text-align: center; width: 100%; border-radius: 8px 8px 0 0; } header h1 { margin: 0; font-size: 2.2em; } main { width: 100%; padding: 20px; } h2, h3 { color: #004a99; margin-top: 1.5em; margin-bottom: 0.5em; } .loan-calc-container { background-color: #eef5ff; padding: 30px; border-radius: 8px; box-shadow: inset 0 1px 5px rgba(0, 0, 0, 0.05); width: 100%; box-sizing: border-box; } .input-group { margin-bottom: 20px; width: 100%; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: #004a99; } .input-group input[type="number"], .input-group select { width: calc(100% – 20px); padding: 12px; border: 1px solid #ccc; border-radius: 4px; font-size: 1em; box-sizing: border-box; } .input-group input[type="number"]:focus, .input-group select:focus { border-color: #004a99; outline: none; box-shadow: 0 0 0 3px rgba(0, 74, 153, 0.2); } .input-group .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; display: block; } .error-message { color: #dc3545; font-size: 0.85em; margin-top: 5px; display: none; /* Hidden by default */ } .button-group { display: flex; justify-content: space-between; margin-top: 30px; flex-wrap: wrap; gap: 10px; } button { padding: 12px 25px; border: none; border-radius: 5px; cursor: pointer; font-size: 1em; font-weight: bold; transition: background-color 0.3s ease; } button.calculate-btn { background-color: #004a99; color: white; } button.calculate-btn:hover { background-color: #003366; } button.reset-btn { background-color: #6c757d; color: white; } button.reset-btn:hover { background-color: #5a6268; } button.copy-btn { background-color: #28a745; color: white; } button.copy-btn:hover { background-color: #218838; } #results { margin-top: 30px; padding: 25px; background-color: #d4edda; border: 1px solid #c3e6cb; border-radius: 8px; text-align: center; width: 100%; box-sizing: border-box; } #results h3 { margin-top: 0; color: #155724; } .primary-result { font-size: 2.5em; font-weight: bold; color: #155724; margin: 15px 0; padding: 15px; background-color: #ffffff; border-radius: 5px; border: 2px dashed #004a99; } .intermediate-results { display: flex; justify-content: space-around; flex-wrap: wrap; gap: 15px; margin-top: 20px; } .intermediate-results div { background-color: #fff; padding: 15px; border-radius: 5px; border: 1px solid #004a99; text-align: center; flex: 1; min-width: 150px; } .intermediate-results span { display: block; font-size: 1.8em; font-weight: bold; color: #004a99; } .formula-explanation { margin-top: 20px; font-size: 0.9em; color: #555; text-align: left; } table { width: 100%; border-collapse: collapse; margin-top: 30px; box-shadow: 0 1px 5px rgba(0, 0, 0, 0.1); } th, td { padding: 12px 15px; text-align: left; border-bottom: 1px solid #ddd; } thead { background-color: #004a99; color: white; } tbody tr:nth-child(even) { background-color: #f2f2f2; } caption { font-size: 1.1em; font-weight: bold; color: #004a99; margin-bottom: 10px; caption-side: top; text-align: left; } canvas { margin-top: 30px; width: 100% !important; height: auto !important; background-color: #fff; border-radius: 8px; box-shadow: 0 1px 5px rgba(0, 0, 0, 0.1); } .article-section { margin-top: 40px; padding-top: 20px; border-top: 1px solid #eee; } .article-section h2 { text-align: center; margin-bottom: 30px; } .article-section p, .article-section ul, .article-section ol { margin-bottom: 1.5em; } .article-section li { margin-bottom: 0.5em; } .faq-item { margin-bottom: 15px; } .faq-item strong { color: #004a99; display: block; margin-bottom: 5px; } .internal-links-section ul { list-style: none; padding: 0; } .internal-links-section li { margin-bottom: 10px; } .internal-links-section a { color: #004a99; text-decoration: none; font-weight: bold; } .internal-links-section a:hover { text-decoration: underline; } .internal-links-section span { font-size: 0.9em; color: #555; display: block; margin-top: 3px; } @media (max-width: 768px) { .container { margin: 10px; padding: 15px; } header h1 { font-size: 1.8em; } .intermediate-results { flex-direction: column; align-items: center; } .intermediate-results div { width: 80%; } button { width: 100%; margin-bottom: 10px; } .button-group { flex-direction: column; align-items: center; } }

Child Weight by Age Calculator

Understand Your Child's Growth Trajectory

Child Growth Assessment

Enter the child's age in completed months (e.g., 24 for 2 years old).
Enter the child's current weight in kilograms.
Male Female Select the child's sex for more accurate comparison.

Growth Assessment Results

Z-Score
Percentile
Status
How it's Calculated: This calculator uses WHO (World Health Organization) growth standards to compare your child's weight-for-age against a reference population. The Z-score measures how many standard deviations your child's measurement is from the median. Percentile indicates the percentage of children in the reference population who weigh less than your child.
Weight-for-Age Comparison Chart
WHO Weight-for-Age Percentiles (Example for 24 Months Male)
Percentile Weight (kg)

What is Child Weight by Age Assessment?

The Child Weight by Age assessment is a crucial tool used by parents, pediatricians, and healthcare providers to monitor a child's physical development. It involves comparing a child's current weight against established growth standards for their specific age and sex. This comparison helps determine if the child's weight falls within the expected healthy range, indicating appropriate growth, or if it suggests potential concerns such as underweight, overweight, or obesity. Understanding these metrics is vital for early identification of growth faltering or excessive weight gain, allowing for timely interventions to ensure optimal health and development.

Who should use it? This assessment is primarily for parents and caregivers of infants and children up to age 5, as well as pediatricians, nurses, and public health professionals. It's a standard part of well-child check-ups.

Common misconceptions include believing that a single measurement is definitive, or that all children of the same age must weigh the same. Growth is a dynamic process, and individual variations are normal. The focus is on the trend and whether the child is following a healthy growth curve.

Child Weight by Age Formula and Mathematical Explanation

The Child Weight by Age assessment relies on statistical data, typically from organizations like the World Health Organization (WHO) or national health bodies, which have collected extensive data on children's growth. These organizations provide reference data, often in the form of growth charts, which include median values and standard deviations (or percentiles) for weight at different ages and for both sexes.

The core metrics derived are the Z-score and the percentile.

Z-Score Calculation: The Z-score is a statistical measure that indicates how many standard deviations a child's measurement is away from the median (50th percentile) for their age and sex.

Formula: Z = (X - M) / SD Where:

  • Z is the Z-score
  • X is the child's measured weight
  • M is the median weight for the child's age and sex from the reference data
  • SD is the standard deviation of weight for the child's age and sex from the reference data

Percentile Calculation: The percentile indicates the percentage of children in the reference population who are at or below a specific weight for their age and sex. A child at the 75th percentile weighs more than 75% of children of the same age and sex.

Calculating the exact percentile from a Z-score requires complex statistical functions (like the cumulative distribution function of the normal distribution). However, reference data tables and software directly provide percentile values based on age, sex, and weight.

Growth Status Interpretation: Based on Z-scores, growth status is categorized:

  • Severe thinness: Z-score < -3
  • Thinness (Underweight): Z-score < -2
  • Normal range: Z-score between -2 and +2
  • Overweight: Z-score > +2
  • Obese: Z-score > +3

These classifications help in quickly assessing the child's growth status.

Variables Table

Variable Meaning Unit Typical Range (for reference data)
Age Child's age Months 0 – 60 months
Weight (X) Child's measured weight Kilograms (kg) Varies significantly by age
Median Weight (M) Average weight for age/sex in reference population Kilograms (kg) Varies significantly by age
Standard Deviation (SD) Measure of weight variability for age/sex Kilograms (kg) Varies significantly by age
Z-Score Standardized score comparing child to median Unitless Typically -3 to +3 for healthy growth
Percentile Percentage of children below this weight % 0 – 100%

Practical Examples (Real-World Use Cases)

Let's illustrate the Child Weight by Age assessment with practical examples. We'll use the WHO growth standards as a reference.

Example 1: A Healthy Growing Toddler

Scenario: Sarah is a 30-month-old girl. Her parents took her for her regular check-up. Her weight is measured at 13.0 kg.

Inputs:

  • Child's Age: 30 months
  • Child's Weight: 13.0 kg
  • Child's Sex: Female

Calculation (using WHO data lookup):

  • Median weight for 30-month-old girls: approx. 13.4 kg
  • Standard deviation for 30-month-old girls: approx. 1.3 kg
  • Z-Score = (13.0 – 13.4) / 1.3 = -0.31
  • Percentile: Approximately 40th percentile
  • Growth Status: Normal range (-2 to +2 Z-score)

Interpretation: Sarah's weight is slightly below the median but well within the normal growth range. Her growth is tracking appropriately for her age and sex.

Example 2: A Child Needing Monitoring

Scenario: David is a 12-month-old boy. His parents are concerned because he seems smaller than other babies his age. His weight is measured at 8.5 kg.

Inputs:

  • Child's Age: 12 months
  • Child's Weight: 8.5 kg
  • Child's Sex: Male

Calculation (using WHO data lookup):

  • Median weight for 12-month-old boys: approx. 9.6 kg
  • Standard deviation for 12-month-old boys: approx. 1.1 kg
  • Z-Score = (8.5 – 9.6) / 1.1 = -1.00
  • Percentile: Approximately 16th percentile
  • Growth Status: Normal range (-2 to +2 Z-score)

Interpretation: David's weight is below the median but still within the normal range. However, being at the 16th percentile suggests he is on the lower end of the healthy spectrum. His pediatrician will likely monitor his growth trend closely over the next few visits to ensure he continues to gain weight appropriately. If his weight falls further or his growth curve flattens, further investigation might be needed.

How to Use This Child Weight by Age Calculator

Using the Child Weight by Age calculator is straightforward and designed to provide quick insights into your child's growth.

  1. Enter Child's Age: Input the child's age in completed months. For example, if your child is 2 years and 3 months old, enter '27'. Ensure accuracy for the best results.
  2. Enter Child's Weight: Provide the child's current weight in kilograms (kg). Use a reliable scale for accuracy.
  3. Select Child's Sex: Choose 'Male' or 'Female' from the dropdown menu. Growth patterns differ between sexes, so this selection is important for accurate comparison.
  4. Click 'Calculate Growth': Once all fields are filled, click the button. The calculator will process the information using WHO growth standards.

How to Read Results:

  • Primary Result (Weight Status): This will display a clear status like "Normal Range," "Underweight," "Overweight," etc., based on the calculated Z-score.
  • Z-Score: Shows how many standard deviations your child's weight is from the average for their age and sex. A Z-score between -2 and +2 is generally considered normal.
  • Percentile: Indicates the percentage of children your child's age and sex who weigh less than your child. For example, the 50th percentile means your child weighs the same as half the children in the reference group.
  • Growth Chart: Visualizes your child's position relative to WHO growth curves.
  • Growth Table: Provides specific weight values for different percentiles at the child's age, offering context.

Decision-Making Guidance: Remember, this calculator is a tool for informational purposes and does not replace professional medical advice.

  • Normal Range: Continue regular monitoring and healthy lifestyle practices.
  • Underweight or Overweight: Consult your pediatrician. They can assess the trend, rule out underlying medical issues, and provide personalized advice on nutrition and lifestyle.
  • Trends Matter: Pay attention to the growth curve over time. A sudden drop or rise in percentile can be more significant than a single measurement.

Key Factors That Affect Child Weight by Age Results

While the Child Weight by Age calculator provides a standardized comparison, several factors can influence a child's growth trajectory and the interpretation of results. Understanding these nuances is key for a holistic view of your child's health.

  1. Genetics: Just like adults, children inherit genetic predispositions that influence their body size and growth rate. Some children are naturally leaner or larger-framed than others, even within the healthy range.
  2. Nutrition and Diet: The quality and quantity of food intake are paramount. Adequate calories, protein, vitamins, and minerals are essential for healthy weight gain. Conversely, poor nutrition can lead to underweight, while excessive intake of high-calorie, low-nutrient foods can contribute to overweight or obesity.
  3. Physical Activity Levels: Regular physical activity helps build muscle mass, manage weight, and promote overall health. Sedentary lifestyles can contribute to excessive weight gain, while appropriate activity supports healthy growth.
  4. Health Conditions and Illnesses: Chronic illnesses, digestive issues (like malabsorption), hormonal imbalances, or even frequent infections can significantly impact a child's appetite, nutrient absorption, and overall weight gain.
  5. Sleep Patterns: Adequate sleep is crucial for growth hormone release and overall well-being. Disrupted sleep can potentially affect growth and metabolism.
  6. Socioeconomic Factors: Access to nutritious food, healthcare services, safe environments for play, and parental education about nutrition can all be influenced by socioeconomic status, indirectly affecting a child's growth.
  7. Prematurity and Birth Weight: Premature babies or those born with low birth weight may follow different growth trajectories initially, often requiring specialized growth charts or catch-up growth monitoring.
  8. Medications: Certain medications can have side effects that impact appetite, metabolism, or weight gain.

It's important to discuss these factors with your pediatrician, as they provide context for the numbers generated by the Child Weight by Age calculator.

Frequently Asked Questions (FAQ)

Q1: Is my child's weight percentile the most important factor?

A: While the percentile is important, the growth *trend* or curve is often more critical. A child consistently tracking along a specific percentile (e.g., 50th) is usually a sign of healthy growth. A sudden jump or drop in percentiles warrants discussion with a doctor.

Q2: My child is in the 90th percentile for weight. Does this mean they are overweight?

A: Not necessarily. A percentile indicates relative position. If the child is also tall for their age and has a healthy Z-score (between -2 and +2), they might just be a larger-framed child. However, if the Z-score is high (+2 or above), it could indicate overweight or obesity, and a pediatrician's assessment is recommended.

Q3: How often should I use a Child Weight by Age calculator?

A: It's best used during regular pediatrician check-ups. For home use, it can be helpful to track growth between visits, but avoid obsessive checking. Focus on the overall trend rather than daily fluctuations.

Q4: Can this calculator be used for premature babies?

A: This calculator uses standard WHO growth charts, which are primarily for full-term infants and children. Premature babies often require specialized growth charts that account for their corrected age and prematurity. Consult your pediatrician for appropriate monitoring.

Q5: What's the difference between Z-score and percentile?

A: The Z-score measures how many standard deviations away from the average (median) a measurement is. The percentile tells you what percentage of children fall below that measurement. Both are used to assess growth relative to a reference population.

Q6: My child's weight seems to fluctuate slightly. Is this normal?

A: Yes, minor weight fluctuations are normal, especially in younger children, due to factors like hydration levels, bowel movements, and recent food intake. The calculator provides a snapshot based on the entered data. Consistent trends over time are more indicative of growth patterns.

Q7: What if my child's weight is outside the typical range shown on the calculator?

A: If the calculator indicates "Underweight" (Z-score +2), it's essential to consult your pediatrician. They can perform a thorough evaluation to determine the cause and recommend appropriate actions.

Q8: Does this calculator account for muscle mass vs. fat mass?

A: Standard weight-for-age charts, including those used by this calculator, do not differentiate between muscle mass and fat mass. They are based purely on total body weight relative to age and sex. Body composition analysis is a separate assessment.

Related Tools and Internal Resources

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// Placeholder for WHO growth data – In a real application, this would be more extensive and potentially fetched dynamically. // Data structure: { sex: { age_in_months: { median: weight_kg, sd: sd_kg } } } var whoGrowthData = { male: { 0: { median: 3.5, sd: 0.4 }, 1: { median: 4.5, sd: 0.5 }, 2: { median: 5.5, sd: 0.6 }, 3: { median: 6.3, sd: 0.6 }, 4: { median: 7.0, sd: 0.7 }, 5: { median: 7.5, sd: 0.7 }, 6: { median: 8.0, sd: 0.7 }, 7: { median: 8.4, sd: 0.7 }, 8: { median: 8.7, sd: 0.8 }, 9: { median: 9.0, sd: 0.8 }, 10: { median: 9.3, sd: 0.8 }, 11: { median: 9.5, sd: 0.8 }, 12: { median: 9.6, sd: 1.1 }, 13: { median: 9.8, sd: 1.1 }, 14: { median: 10.0, sd: 1.1 }, 15: { median: 10.2, sd: 1.1 }, 16: { median: 10.3, sd: 1.1 }, 17: { median: 10.5, sd: 1.2 }, 18: { median: 10.6, sd: 1.2 }, 19: { median: 10.8, sd: 1.2 }, 20: { median: 10.9, sd: 1.2 }, 21: { median: 11.0, sd: 1.2 }, 22: { median: 11.2, sd: 1.2 }, 23: { median: 11.3, sd: 1.3 }, 24: { median: 11.4, sd: 1.3 }, 25: { median: 11.5, sd: 1.3 }, 26: { median: 11.7, sd: 1.3 }, 27: { median: 11.8, sd: 1.3 }, 28: { median: 11.9, sd: 1.3 }, 29: { median: 12.0, sd: 1.4 }, 30: { median: 12.1, sd: 1.4 }, 31: { median: 12.3, sd: 1.4 }, 32: { median: 12.4, sd: 1.4 }, 33: { median: 12.5, sd: 1.4 }, 34: { median: 12.6, sd: 1.4 }, 35: { median: 12.7, sd: 1.4 }, 36: { median: 12.8, sd: 1.5 }, 48: { median: 14.0, sd: 1.6 }, 60: { median: 15.2, sd: 1.8 } }, female: { 0: { median: 3.2, sd: 0.4 }, 1: { median: 4.2, sd: 0.5 }, 2: { median: 5.1, sd: 0.5 }, 3: { median: 5.8, sd: 0.6 }, 4: { median: 6.4, sd: 0.6 }, 5: { median: 6.9, sd: 0.6 }, 6: { median: 7.3, sd: 0.7 }, 7: { median: 7.6, sd: 0.7 }, 8: { median: 7.9, sd: 0.7 }, 9: { median: 8.1, sd: 0.7 }, 10: { median: 8.3, sd: 0.8 }, 11: { median: 8.5, sd: 0.8 }, 12: { median: 8.7, sd: 1.0 }, 13: { median: 8.9, sd: 1.0 }, 14: { median: 9.1, sd: 1.0 }, 15: { median: 9.2, sd: 1.0 }, 16: { median: 9.4, sd: 1.0 }, 17: { median: 9.5, sd: 1.1 }, 18: { median: 9.6, sd: 1.1 }, 19: { median: 9.7, sd: 1.1 }, 20: { median: 9.8, sd: 1.1 }, 21: { median: 9.9, sd: 1.1 }, 22: { median: 10.0, sd: 1.1 }, 23: { median: 10.1, sd: 1.2 }, 24: { median: 10.2, sd: 1.2 }, 25: { median: 10.3, sd: 1.2 }, 26: { median: 10.4, sd: 1.2 }, 27: { median: 10.5, sd: 1.2 }, 28: { median: 10.6, sd: 1.2 }, 29: { median: 10.7, sd: 1.3 }, 30: { median: 10.8, sd: 1.3 }, 31: { median: 10.9, sd: 1.3 }, 32: { median: 11.0, sd: 1.3 }, 33: { median: 11.1, sd: 1.3 }, 34: { median: 11.2, sd: 1.3 }, 35: { median: 11.3, sd: 1.3 }, 36: { median: 11.4, sd: 1.4 }, 48: { median: 12.7, sd: 1.5 }, 60: { median: 13.9, sd: 1.7 } } }; // Approximate percentile calculation based on Z-score (simplified for demonstration) // A more accurate calculation would involve the cumulative distribution function (CDF) of the normal distribution. // This is a lookup-based approximation for common percentiles. var percentileLookup = { "-3.0": 0.1, "-2.5": 0.6, "-2.0": 2.3, "-1.5": 6.7, "-1.0": 15.9, "-0.5": 30.9, "0.0": 50.0, "0.5": 69.1, "1.0": 84.1, "1.5": 93.3, "2.0": 97.7, "2.5": 99.4, "3.0": 99.9 }; var chart; var growthChartCanvas = document.getElementById('growthChart'); var ctx = growthChartCanvas.getContext('2d'); function getGrowthData(age, sex) { var sexData = whoGrowthData[sex]; if (!sexData) return null; // Find the closest age data point var ages = Object.keys(sexData).map(Number).sort(function(a, b) { return a – b; }); var closestAge = ages.reduce(function(prev, curr) { return (Math.abs(curr – age) < Math.abs(prev – age) ? curr : prev); }); return sexData[closestAge]; } function calculateGrowth() { var ageInput = document.getElementById('childAge'); var weightInput = document.getElementById('childWeight'); var sexSelect = document.getElementById('childSex'); var age = parseInt(ageInput.value); var weight = parseFloat(weightInput.value); var sex = sexSelect.value; var ageError = document.getElementById('childAgeError'); var weightError = document.getElementById('childWeightError'); // Reset errors ageError.style.display = 'none'; weightError.style.display = 'none'; var isValid = true; if (isNaN(age) || age < 0) { ageError.textContent = "Please enter a valid age in months."; ageError.style.display = 'block'; isValid = false; } if (isNaN(weight) || weight <= 0) { weightError.textContent = "Please enter a valid weight in kilograms."; weightError.style.display = 'block'; isValid = false; } if (!isValid) { document.getElementById('primaryResult').textContent = "–"; document.getElementById('zScore').textContent = "–"; document.getElementById('percentile').textContent = "–"; document.getElementById('growthStatus').textContent = "–"; updateChart([], []); populateTable([]); return; } var growthData = getGrowthData(age, sex); if (!growthData) { document.getElementById('primaryResult').textContent = "N/A"; document.getElementById('zScore').textContent = "N/A"; document.getElementById('percentile').textContent = "N/A"; document.getElementById('growthStatus').textContent = "Data unavailable"; updateChart([], []); populateTable([]); return; } var medianWeight = growthData.median; var sdWeight = growthData.sd; var zScore = ((weight – medianWeight) / sdWeight).toFixed(2); var zScoreNum = parseFloat(zScore); var percentile = "N/A"; var growthStatus = "Unknown"; // Approximate percentile lookup var closestZScoreKey = Object.keys(percentileLookup).reduce(function(prev, curr) { return (Math.abs(parseFloat(curr) – zScoreNum) < Math.abs(parseFloat(prev) – zScoreNum) ? curr : prev); }); percentile = percentileLookup[closestZScoreKey] !== undefined ? percentileLookup[closestZScoreKey] + "%" : "N/A"; if (zScoreNum < -3.0) { growthStatus = "Severe Thinness"; } else if (zScoreNum < -2.0) { growthStatus = "Underweight"; } else if (zScoreNum <= 2.0) { growthStatus = "Normal Range"; } else if (zScoreNum <= 3.0) { growthStatus = "Overweight"; } else { growthStatus = "Obese"; } document.getElementById('primaryResult').textContent = growthStatus; document.getElementById('zScore').textContent = zScore; document.getElementById('percentile').textContent = percentile; document.getElementById('growthStatus').textContent = growthStatus; // Update chart and table updateChartData(age, sex); populateTable(age, sex); } function updateChartData(currentAge, currentSex) { var ages = [0, 6, 12, 18, 24, 36, 48, 60]; // Sample ages for chart var medianWeights = []; var p3Weights = []; // Approx 3rd percentile (Z = -2) var p97Weights = []; // Approx 97th percentile (Z = +2) for (var i = 0; i 0) { currentDataPoint.push({ x: childAge, y: childWeight }); } updateChart(medianWeights, p3Weights, p97Weights, currentDataPoint); } function updateChart(medianData, p3Data, p97Data, currentData) { if (chart) { chart.destroy(); } var labels = medianData.map(function(d) { return d.x; }); var medianValues = medianData.map(function(d) { return d.y; }); var p3Values = p3Data.map(function(d) { return d.y; }); var p97Values = p97Data.map(function(d) { return d.y; }); var currentX = currentData.length > 0 ? currentData[0].x : null; var currentY = currentData.length > 0 ? currentData[0].y : null; chart = new Chart(ctx, { type: 'line', data: { labels: labels, datasets: [ { label: 'Median Weight', data: medianValues, borderColor: '#004a99', backgroundColor: 'rgba(0, 74, 153, 0.1)', fill: false, tension: 0.1 }, { label: '3rd Percentile (Approx)', data: p3Values, borderColor: '#28a745', backgroundColor: 'rgba(40, 167, 69, 0.1)', fill: false, tension: 0.1, borderDash: [5, 5] }, { label: '97th Percentile (Approx)', data: p97Values, borderColor: '#dc3545', backgroundColor: 'rgba(220, 53, 69, 0.1)', fill: false, tension: 0.1, borderDash: [5, 5] }, { label: 'Child\'s Measurement', data: currentX !== null ? [{x: currentX, y: currentY}] : [], borderColor: '#ffc107', backgroundColor: '#ffc107', pointRadius: 6, pointHoverRadius: 8, showLine: false // Only show the point } ] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' } }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: false } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || "; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y + ' kg'; } return label; } } } } } }); } function populateTable(age, sex) { var tableBody = document.getElementById('growthTableBody'); tableBody.innerHTML = "; // Clear previous content var percentiles = [0.4, 1, 3, 5, 10, 15, 25, 50, 75, 85, 90, 95, 97, 99, 99.6]; // WHO percentiles var data = whoGrowthData[sex]; if (!data) return; var ages = Object.keys(data).map(Number).sort(function(a, b) { return a – b; }); var closestAge = ages.reduce(function(prev, curr) { return (Math.abs(curr – age) < Math.abs(prev – age) ? curr : prev); }); var ageData = data[closestAge]; if (!ageData) return; var median = ageData.median; var sd = ageData.sd; percentiles.forEach(function(p) { // Approximate weight for percentile using Z-score inverse lookup var zScoreForPercentile; if (p <= 0.4) zScoreForPercentile = -2.65; // Approx 0.4th percentile else if (p <= 1) zScoreForPercentile = -2.33; // Approx 1st percentile else if (p <= 3) zScoreForPercentile = -1.88; // Approx 3rd percentile else if (p <= 5) zScoreForPercentile = -1.64; // Approx 5th percentile else if (p <= 10) zScoreForPercentile = -1.28; // Approx 10th percentile else if (p <= 15) zScoreForPercentile = -1.04; // Approx 15th percentile else if (p <= 25) zScoreForPercentile = -0.67; // Approx 25th percentile else if (p <= 50) zScoreForPercentile = 0; // 50th percentile (median) else if (p <= 75) zScoreForPercentile = 0.67; // 75th percentile else if (p <= 85) zScoreForPercentile = 1.04; // 85th percentile else if (p <= 90) zScoreForPercentile = 1.28; // 90th percentile else if (p <= 95) zScoreForPercentile = 1.64; // 95th percentile else if (p <= 97) zScoreForPercentile = 1.88; // 97th percentile else if (p <= 99) zScoreForPercentile = 2.33; // 99th percentile else zScoreForPercentile = 2.65; // Approx 99.6th percentile var weightForPercentile = median + (zScoreForPercentile * sd); weightForPercentile = weightForPercentile.toFixed(2); var row = document.createElement('tr'); row.innerHTML = '' + p + 'th' + weightForPercentile + ' kg'; tableBody.appendChild(row); }); // Add specific example row if available if (age === 24 && sex === 'male') { var row = document.createElement('tr'); row.innerHTML = 'Example: 24mo Male' + data[24].median.toFixed(1) + ' kg'; tableBody.appendChild(row); } } function resetCalculator() { document.getElementById('childAge').value = "24"; document.getElementById('childWeight').value = "12.5"; document.getElementById('childSex').value = "male"; document.getElementById('childAgeError').style.display = 'none'; document.getElementById('childWeightError').style.display = 'none'; calculateGrowth(); } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var zScore = document.getElementById('zScore').textContent; var percentile = document.getElementById('percentile').textContent; var growthStatus = document.getElementById('growthStatus').textContent; var age = document.getElementById('childAge').value; var weight = document.getElementById('childWeight').value; var sex = document.getElementById('childSex').value; var resultsText = "Child Weight by Age Assessment Results:\n\n"; resultsText += "Age: " + age + " months\n"; resultsText += "Weight: " + weight + " kg\n"; resultsText += "Sex: " + sex.charAt(0).toUpperCase() + sex.slice(1) + "\n\n"; resultsText += "——————–\n"; resultsText += "Primary Result: " + primaryResult + "\n"; resultsText += "Z-Score: " + zScore + "\n"; resultsText += "Percentile: " + percentile + "\n"; resultsText += "Status: " + growthStatus + "\n"; resultsText += "——————–\n"; resultsText += "Calculated using WHO growth standards."; try { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy results: ', err); alert('Failed to copy results. Please copy manually.'); }); } catch (e) { console.error('Clipboard API not available: ', e); alert('Clipboard API not available. Please copy manually.'); } } // Initial calculation and chart setup on page load document.addEventListener('DOMContentLoaded', function() { // Load Chart.js library dynamically var chartJsScript = document.createElement('script'); chartJsScript.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js'; chartJsScript.onload = function() { calculateGrowth(); // Perform initial calculation after Chart.js is loaded updateChartData(parseInt(document.getElementById('childAge').value), document.getElementById('childSex').value); }; document.head.appendChild(chartJsScript); });

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