Child Weight Chart Calculator

Child Weight Chart Calculator & Guide 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; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1); border-radius: 8px; } header { background-color: #004a99; color: #fff; padding: 20px 0; text-align: center; border-radius: 8px 8px 0 0; margin-bottom: 20px; } header h1 { margin: 0; font-size: 2.2em; } h2, h3 { color: #004a99; margin-top: 1.5em; margin-bottom: 0.5em; } .loan-calc-container { background-color: #e9ecef; padding: 25px; border-radius: 6px; margin-bottom: 30px; } .input-group { margin-bottom: 20px; text-align: left; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: #004a99; } .input-group input[type="number"], .input-group select { width: calc(100% – 24px); /* Account for padding */ padding: 12px; border: 1px solid #ccc; border-radius: 4px; font-size: 1em; box-sizing: border-box; } .input-group .helper-text { font-size: 0.85em; color: #6c757d; margin-top: 5px; } .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: 25px; gap: 10px; } button { padding: 12px 20px; border: none; border-radius: 4px; cursor: pointer; font-size: 1em; transition: background-color 0.3s ease; flex: 1; text-align: center; } button.calculate-btn { background-color: #004a99; color: white; } button.calculate-btn:hover { background-color: #003366; } button.reset-btn { background-color: #ffc107; color: #212529; } button.reset-btn:hover { background-color: #e0a800; } button.copy-btn { background-color: #28a745; color: white; } button.copy-btn:hover { background-color: #218838; } #results-container { margin-top: 30px; padding: 25px; background-color: #d4edda; border: 1px solid #c3e6cb; border-radius: 6px; text-align: center; } #results-container h3 { color: #155724; margin-top: 0; } .primary-result { font-size: 2.5em; font-weight: bold; color: #155724; margin: 10px 0; padding: 15px; background-color: #ffffff; border-radius: 4px; border: 1px solid #c3e6cb; } .intermediate-results div { margin-bottom: 10px; font-size: 1.1em; } .intermediate-results strong { color: #004a99; } .formula-explanation { font-size: 0.9em; color: #6c757d; margin-top: 15px; text-align: left; } .chart-container { margin-top: 30px; padding: 20px; background-color: #f1f3f5; border-radius: 6px; text-align: center; } .chart-container caption { font-size: 1.1em; font-weight: bold; color: #004a99; margin-bottom: 15px; } table { width: 100%; border-collapse: collapse; margin-top: 15px; } th, td { padding: 10px; text-align: center; border: 1px solid #dee2e6; } th { background-color: #004a99; color: #fff; } td { background-color: #fff; } .section { margin-top: 30px; padding-top: 20px; border-top: 1px solid #eee; } .section h2 { text-align: center; margin-bottom: 20px; } .faq-item { margin-bottom: 15px; padding: 15px; background-color: #f1f3f5; border-radius: 4px; } .faq-item strong { color: #004a99; display: block; margin-bottom: 5px; cursor: pointer; } .faq-item p { margin-bottom: 0; font-size: 0.95em; } a { color: #004a99; text-decoration: none; } a:hover { text-decoration: underline; } .internal-links-list { list-style: none; padding: 0; margin-top: 20px; } .internal-links-list li { margin-bottom: 10px; padding: 10px; background-color: #f1f3f5; border-radius: 4px; } .internal-links-list a { font-weight: bold; } .internal-links-list span { display: block; font-size: 0.9em; color: #6c757d; margin-top: 5px; } @media (max-width: 768px) { .container { margin: 10px; padding: 15px; } header h1 { font-size: 1.8em; } button { font-size: 0.95em; } .button-group { flex-direction: column; } }

Child Weight Chart Calculator

Understand Your Child's Growth

This calculator helps you determine where your child's weight falls on standard growth charts, comparing them against WHO (World Health Organization) and CDC (Centers for Disease Control and Prevention) guidelines. Accurate tracking is crucial for ensuring healthy development.

Child Weight Chart Calculator

Enter your child's details to see their percentile and growth status.

Enter the child's age in whole months.
Enter the child's current weight in kilograms.
Boy Girl
Select the child's biological sex.

Your Child's Growth Results

Calculating…
Please enter valid inputs to see results.
Status:
Z-Score:
Reference Weight for Age/Sex: — kg
How it Works: Growth charts plot measurements (like weight-for-age) against a population sample. Your child's position on this chart is represented by a percentile. For example, the 50th percentile means your child weighs the same as 50% of children their age and sex. A Z-score is a standardized score that indicates how many standard deviations away from the mean (average) your child's measurement is. This calculator approximates the percentile and Z-score based on simplified data points for common ages, as exact WHO/CDC data requires complex interpolation.
Child Weight-for-Age Percentile Chart (Simplified Example)
This chart visually represents your child's weight percentile against age. The shaded areas represent common percentile ranges. Your child's calculated percentile is marked for comparison.
Weight vs. Age Comparison (Sample Data)
Age (Months) Typical Weight – Boy (kg) Typical Weight – Girl (kg)
This table provides typical weight ranges for boys and girls at different ages, based on WHO/CDC data. It helps contextualize your child's measurement.

What is a Child Weight Chart Calculator?

A child weight chart calculator is an online tool designed to help parents, caregivers, and healthcare professionals assess a child's weight in relation to established growth standards. These standards, typically developed by organizations like the World Health Organization (WHO) for children aged 0-2 years and the Centers for Disease Control and Prevention (CDC) for children aged 2-20 years, provide a reference for typical growth patterns. The calculator takes the child's age, sex, and weight as input and outputs key metrics, most importantly the percentile rank. This percentile indicates how the child's weight compares to other children of the same age and sex. For instance, being at the 75th percentile means the child weighs more than 75% of children in that specific age and sex group. Understanding these metrics is a vital part of monitoring a child's overall health and development, helping to identify potential issues like underweight, overweight, or obesity early on. It's important to remember that a single data point is less significant than consistent growth over time. This tool is valuable for anyone concerned about a child's nutritional status and growth trajectory. Understanding child growth monitoring is key.

Who Should Use It?

The primary users of a child weight chart calculator include:

  • Parents and Guardians: To gain insight into their child's growth between pediatrician visits and to foster informed discussions with healthcare providers.
  • Pediatricians and Healthcare Providers: As a quick reference tool to plot and interpret growth data during check-ups.
  • Childcare Providers and Educators: To understand the general growth patterns of children in their care, though formal medical assessment remains with parents and doctors.
  • Nutritionists and Dietitians: To assess weight status as part of a broader nutritional evaluation.
Essentially, anyone involved in a child's care who wants to ensure they are growing along a healthy path can benefit from using this tool. It empowers proactive health management.

Common Misconceptions

Several common misconceptions surround child growth charts and calculators:

  • "My child MUST be at the 50th percentile." This is false. A wide range of percentiles (e.g., 3rd to 97th) can represent healthy growth, provided the child is following a consistent growth curve.
  • "A child is overweight/underweight based on one reading." Growth is a process. A single measurement is a snapshot. Consistent tracking over time is more telling than one-off readings.
  • "Charts are only for babies." Growth charts and calculators are relevant throughout childhood and adolescence, with different charts used for different age ranges (e.g., WHO for 0-2, CDC for 2-20).
  • "The calculator replaces a doctor's visit." It is a supplementary tool. A pediatrician considers many factors beyond just weight and age, including height, head circumference, family history, and overall health.
Correct interpretation relies on understanding growth trends, not just absolute numbers. For more on this, explore pediatric growth assessment.

Child Weight Chart Calculator Formula and Mathematical Explanation

The child weight chart calculator primarily determines a child's weight-for-age percentile and Z-score. While precise calculations require extensive datasets and interpolation algorithms (like the LMS method used by WHO/CDC), this calculator employs a simplified approximation for common age points. The core idea is to compare the child's measurement to a reference population.

The Underlying Concepts: Percentiles and Z-Scores

Percentile: A percentile indicates the value below which a given percentage of observations in a group of observations fall. For example, if a child is in the 60th percentile for weight-for-age, it means that 60% of children of the same age and sex weigh less than this child, and 40% weigh more.

Z-Score: A Z-score is a statistical measurement that describes a value's relationship to the mean (average) of a group of values, measured by how many standard deviations it is from the mean. A Z-score of 0 represents the mean. Positive Z-scores are above the mean, and negative Z-scores are below it. For WHO/CDC growth standards, specific Z-score ranges correspond to different growth classifications (e.g., underweight, healthy weight, overweight).

Simplified Calculation Logic

For practical purposes in a web calculator, especially for common ages, we can use a simplified approach. This involves referencing pre-calculated approximate values for specific ages and sexes. The calculator uses internal data points that mimic the WHO/CDC curves.

  1. Input: Child's Age (months), Child's Weight (kg), Child's Sex.
  2. Data Lookup: The calculator references a dataset containing approximate mean weight, standard deviation, and potentially median values for boys and girls at various monthly ages.
  3. Z-Score Calculation (Conceptual): If precise mean ($\mu$) and standard deviation ($\sigma$) values are available for the specific age and sex, the Z-score is calculated as: $Z = \frac{X – \mu}{\sigma}$ Where $X$ is the child's measured weight.
  4. Percentile Estimation: Based on the calculated Z-score, the calculator estimates the corresponding percentile. This often involves referencing a standard normal distribution table or using approximation functions. A Z-score of 0 is roughly the 50th percentile, a Z-score of +1 is about the 84th percentile, and -1 is about the 16th percentile.
  5. Growth Status Classification: Based on the calculated Z-score or percentile, the child is classified into categories like "Underweight," "Healthy Weight," "Overweight," or "Obese," according to standard WHO/CDC definitions (e.g., BMI-for-age percentiles or weight-for-age Z-scores).

Note: Due to the complexity of exact interpolation, this calculator provides an estimate. For critical medical decisions, always consult official WHO/CDC charts or a healthcare professional. The reference weight shown is the approximate mean weight for that age and sex from our simplified data.

Variables Table

Variable Meaning Unit Typical Range
Age Child's age since birth Months 0 – 240 (0-20 years)
Weight Child's current body weight kg 0.1 – 150 (approx.)
Sex Biological sex of the child Category Boy, Girl
Percentile Rank compared to peers % 0 – 100
Z-Score Number of standard deviations from the mean Score Approx. -3 to +3 (can be wider)
Reference Weight Average weight for age/sex kg Varies by age/sex

Practical Examples (Real-World Use Cases)

Here are a couple of examples illustrating how the child weight chart calculator can be used:

Example 1: A Developing Toddler

Scenario: Sarah is concerned her 18-month-old son, Leo, seems small compared to other children he plays with. Leo's weight is 10.5 kg, and he is 18 months old. He is a boy.

Inputs:

  • Age: 18 months
  • Weight: 10.5 kg
  • Sex: Boy

Calculation Output (Hypothetical):

  • Weight Percentile: 45th Percentile
  • Status: Healthy Weight
  • Z-Score: -0.13
  • Reference Weight for Age/Sex: 11.2 kg

Interpretation: The calculator shows that Leo is in the 45th percentile for weight-for-age. This means he weighs more than 45% of 18-month-old boys and less than 55%. His Z-score is very close to zero, indicating his weight is very near the average for his age and sex. The "Healthy Weight" status confirms this. Sarah can be reassured that Leo is growing well within the typical range, even if he appears smaller than some peers. Consistent tracking using child growth charts is advised.

Example 2: Monitoring Growth Velocity

Scenario: Mark and Lisa are tracking their daughter, Chloe's, growth. Chloe is 36 months old (3 years) and weighs 14.0 kg. She is a girl.

Inputs:

  • Age: 36 months
  • Weight: 14.0 kg
  • Sex: Girl

Calculation Output (Hypothetical):

  • Weight Percentile: 70th Percentile
  • Status: Healthy Weight
  • Z-Score: 0.53
  • Reference Weight for Age/Sex: 13.2 kg

Interpretation: Chloe's weight places her in the 70th percentile. This indicates she is heavier than 70% of 3-year-old girls. Her Z-score is positive, slightly above the average. The status is "Healthy Weight." Mark and Lisa should note this reading but also compare it to Chloe's previous measurements. If her percentile has been consistently around the 70th, it suggests steady, healthy growth. If her percentile has significantly increased recently, it might warrant a discussion with her pediatrician about dietary habits and activity levels. This highlights the importance of tracking child development over time.

How to Use This Child Weight Chart Calculator

Using the child weight chart calculator is straightforward and designed for ease of use. Follow these simple steps:

  1. Gather Information: Ensure you know your child's exact age in months and their current weight in kilograms. You will also need to know your child's sex.
  2. Enter Age: Input the child's age in months into the "Child's Age (in months)" field. For example, a 2-year-old is 24 months old.
  3. Enter Weight: Input the child's current weight in kilograms into the "Child's Weight (kg)" field. Use decimals if necessary (e.g., 12.5 kg).
  4. Select Sex: Choose "Boy" or "Girl" from the dropdown menu for the "Child's Sex" field.
  5. Calculate: Click the "Calculate Percentile" button.

How to Read Results

Once you click "Calculate," the results section will display:

  • Primary Result (Weight Percentile): This large, highlighted number shows your child's percentile rank (e.g., 50th Percentile).
  • Status: This provides a quick classification (e.g., Underweight, Healthy Weight, Overweight) based on WHO/CDC guidelines.
  • Z-Score: This indicates how many standard deviations your child's measurement is from the average for their age and sex.
  • Reference Weight for Age/Sex: This is the approximate average weight for a child of the same age and sex in the reference population.
  • Chart: The dynamic chart visually plots your child's percentile against their age, offering a graphical representation of their growth trajectory.
  • Table: The accompanying table provides context by showing typical weight ranges for various ages.

Decision-Making Guidance

Focus on Trends, Not Single Points: The most crucial aspect of interpreting these results is looking at the trend over time. Is your child consistently following a growth curve? Or has their percentile suddenly jumped or dropped significantly? Consult your pediatrician if you observe a major shift in percentile. A child consistently between the 5th and 85th percentile is generally considered to be growing well. Percentiles below the 3rd or above the 97th may warrant medical attention.

Consult a Professional: This calculator is an educational tool. Always discuss your child's growth patterns and any concerns with their pediatrician or a qualified healthcare provider. They can provide a comprehensive assessment based on the child's individual health history, height, and other factors.

Use the 'Copy Results' Button: Easily copy the calculated percentile, status, Z-score, and key assumptions (age, weight, sex) to share with your pediatrician or to keep in your personal health records.

Utilize the 'Reset' Button: If you need to calculate for another child or want to re-enter information, the 'Reset' button quickly restores the calculator to its default state.

Key Factors That Affect Child Weight Results

Several factors influence a child's weight and how it is interpreted on growth charts. Understanding these can provide a more nuanced view of the results from a child weight chart calculator.

  1. Genetics and Family History: Just as adults have different body types influenced by genetics, children also inherit predispositions towards certain growth patterns and body compositions. A child from a tall or robust family might naturally fall on a higher percentile, which is healthy for them.
  2. Nutrition Intake: The balance and quantity of nutrients are fundamental. Insufficient calorie or nutrient intake can lead to underweight, while excessive intake, particularly of high-calorie, low-nutrient foods, can contribute to overweight or obesity. This includes breast milk/formula for infants and balanced meals for older children.
  3. Physical Activity Levels: Regular physical activity helps children build muscle mass, maintain a healthy weight, and develop strong bones. Sedentary lifestyles can contribute to weight gain, especially when combined with high-calorie diets.
  4. Health Conditions and Illnesses: Certain medical conditions can affect a child's appetite, metabolism, or nutrient absorption. Chronic illnesses, digestive disorders (like Celiac disease), or hormonal imbalances can significantly impact weight gain or loss.
  5. Sleep Patterns: Adequate sleep is crucial for growth and development. Hormones regulating growth and appetite are influenced by sleep cycles. Poor sleep quality or insufficient duration can potentially affect weight regulation.
  6. Socioeconomic Factors: Access to nutritious food, safe environments for physical activity, and quality healthcare can be influenced by socioeconomic status. These factors can indirectly impact a child's growth trajectory.
  7. Stage of Puberty (for older children): As children approach adolescence, puberty brings growth spurts and changes in body composition. Weight gain is expected during this period, and understanding these developmental stages is key to interpreting weight charts for this age group.

These factors interact dynamically, meaning a child's weight status is rarely due to a single cause. A holistic view, often guided by a pediatrician, is essential for accurate assessment and intervention if needed. Consider exploring resources on healthy eating for children.

Frequently Asked Questions (FAQ)

Q1: What is the difference between WHO and CDC growth charts?

A: The WHO growth charts are generally used for infants and children from birth up to 2 years of age, representing an international standard for healthy growth. The CDC growth charts are typically used for children aged 2 to 20 years in the United States and are based on data from US children.

Q2: Can my child be healthy even if they are not on the 50th percentile?

A: Absolutely. The 50th percentile represents the median, but a wide range, typically between the 3rd and 97th percentiles, is considered healthy. Consistency in growth along a particular percentile curve is more important than hitting a specific number.

Q3: How often should my child's weight be tracked?

A: For infants, weight is typically monitored at every well-child visit (e.g., monthly for the first few months, then every 2-3 months). For older children, annual check-ups are common, but your pediatrician will advise based on individual needs. This calculator can supplement those professional assessments.

Q4: My calculator result says "Overweight." What should I do?

A: An "Overweight" status requires consultation with a healthcare professional. They can assess whether this is a true concern based on the child's overall health, height, activity level, diet, and growth history. Do not make drastic dietary changes without medical guidance.

Q5: Does height matter for weight charts?

A: Yes, significantly. While this specific calculator focuses on weight-for-age, official growth assessments (like BMI-for-age) also incorporate height. Weight-for-age charts primarily indicate if a child's weight is appropriate for their age, assuming typical height. For a more complete picture, especially for older children, BMI-for-age charts which consider both height and weight are used.

Q6: Can prematurity affect growth chart results?

A: Yes. For premature infants, doctors often use "corrected age" when plotting growth on charts, especially during the first 1-2 years. This means adjusting the age to account for the weeks born before the due date. This calculator uses chronological age, so results for premature babies should be interpreted with caution and discussed with a pediatrician.

Q7: How accurate is this online calculator?

A: This calculator provides an estimation based on simplified data points and algorithms. Official WHO and CDC growth charts use complex statistical methods (like the LMS method) for precise calculations. While useful for general guidance, it is not a substitute for professional medical assessment or official charting tools.

Q8: What is considered underweight for a child?

A: Generally, a child falling below the 3rd percentile for weight-for-age or having a Z-score below -2 standard deviations may be considered underweight. This requires medical evaluation to determine the cause, which could range from insufficient nutrition to underlying health issues.

© 2023 Your Website Name. All rights reserved.

// Sample data mimicking WHO/CDC weight-for-age percentiles (simplified) // Structure: { age_in_months: { boy: { percentile: P, zScore: Z, refWeight: W }, girl: { percentile: P, zScore: Z, refWeight: W } } } // Values are approximate for demonstration purposes. Exact WHO/CDC data is more complex. var growthData = { 0: { boy: { percentile: 3, zScore: -1.8, refWeight: 3.3 }, girl: { percentile: 3, zScore: -1.8, refWeight: 3.1 } }, 1: { boy: { percentile: 10, zScore: -1.3, refWeight: 4.2 }, girl: { percentile: 10, zScore: -1.3, refWeight: 4.0 } }, 2: { boy: { percentile: 25, zScore: -0.7, refWeight: 5.1 }, girl: { percentile: 25, zScore: -0.7, refWeight: 4.8 } }, 3: { boy: { percentile: 40, zScore: -0.25, refWeight: 5.8 }, girl: { percentile: 40, zScore: -0.25, refWeight: 5.5 } }, 4: { boy: { percentile: 50, zScore: 0, refWeight: 6.4 }, girl: { percentile: 50, zScore: 0, refWeight: 6.1 } }, 5: { boy: { percentile: 60, zScore: 0.25, refWeight: 6.9 }, girl: { percentile: 60, zScore: 0.25, refWeight: 6.6 } }, 6: { boy: { percentile: 75, zScore: 0.7, refWeight: 7.3 }, girl: { percentile: 75, zScore: 0.7, refWeight: 7.0 } }, 9: { boy: { percentile: 85, zScore: 1.04, refWeight: 8.0 }, girl: { percentile: 85, zScore: 1.04, refWeight: 7.7 } }, 12: { boy: { percentile: 90, zScore: 1.28, refWeight: 8.7 }, girl: { percentile: 90, zScore: 1.28, refWeight: 8.4 } }, 15: { boy: { percentile: 95, zScore: 1.65, refWeight: 9.4 }, girl: { percentile: 95, zScore: 1.65, refWeight: 9.1 } }, 18: { boy: { percentile: 97, zScore: 1.88, refWeight: 9.9 }, girl: { percentile: 97, zScore: 1.88, refWeight: 9.6 } }, 24: { boy: { percentile: 97, zScore: 2.0, refWeight: 11.0 }, girl: { percentile: 97, zScore: 2.0, refWeight: 10.5 } }, 30: { boy: { percentile: 97, zScore: 2.1, refWeight: 12.0 }, girl: { percentile: 97, zScore: 2.1, refWeight: 11.5 } }, 36: { boy: { percentile: 97, zScore: 2.2, refWeight: 12.8 }, girl: { percentile: 97, zScore: 2.2, refWeight: 12.2 } }, // Added data points for sample table 48: { boy: { percentile: 97, zScore: 2.3, refWeight: 13.8 }, girl: { percentile: 97, zScore: 2.3, refWeight: 13.2 } }, 60: { boy: { percentile: 97, zScore: 2.4, refWeight: 14.8 }, girl: { percentile: 97, zScore: 2.4, refWeight: 14.3 } } }; // Sample data for the comparison table var sampleTableData = [ { age: 6, boyWeight: 7.3, girlWeight: 7.0 }, { age: 12, boyWeight: 8.7, girlWeight: 8.4 }, { age: 18, boyWeight: 9.9, girlWeight: 9.6 }, { age: 24, boyWeight: 11.0, girlWeight: 10.5 }, { age: 36, boyWeight: 12.8, girlWeight: 12.2 }, { age: 48, boyWeight: 13.8, girlWeight: 13.2 }, { age: 60, boyWeight: 14.8, girlWeight: 14.3 } ]; var chart; // Declare chart variable globally function populateSampleTable() { var tableBody = document.getElementById('sampleDataTable'); tableBody.innerHTML = "; // Clear existing rows sampleTableData.forEach(function(data) { var row = tableBody.insertRow(); row.insertCell(0).textContent = data.age; row.insertCell(1).textContent = data.boyWeight.toFixed(1); row.insertCell(2).textContent = data.girlWeight.toFixed(1); }); } function getGrowthData(ageMonths, sex) { // Find the closest available data point (simple linear interpolation or nearest neighbor) var sortedAges = Object.keys(growthData).map(Number).sort(function(a, b) { return a – b; }); var lowerAge = 0, upperAge = sortedAges[sortedAges.length – 1]; for (var i = 0; i < sortedAges.length; i++) { if (sortedAges[i] = ageMonths) { upperAge = sortedAges[i]; break; } } if (lowerAge === upperAge) { return growthData[lowerAge][sex]; } // Basic interpolation (can be improved for more accuracy) var lowerData = growthData[lowerAge][sex]; var upperData = growthData[upperAge][sex]; var ageDiff = upperAge – lowerAge; var weightDiff = upperData.refWeight – lowerData.refWeight; var percentileDiff = upperData.percentile – lowerData.percentile; var zScoreDiff = upperData.zScore – lowerData.zScore; var ratio = (ageMonths – lowerAge) / ageDiff; return { percentile: Math.round(lowerData.percentile + (percentileDiff * ratio)), zScore: (lowerData.zScore + (zScoreDiff * ratio)).toFixed(2), refWeight: (lowerData.refWeight + (weightDiff * ratio)).toFixed(2) }; } function getGrowthStatus(percentile, zScore) { // Simplified status based on WHO/CDC (weight-for-age Z-scores) if (zScore = -2.0 && zScore = -1.0 && zScore 1.0 && zScore 2.0) return "Overweight"; // Above 97th percentile return "N/A"; } function validateInput(id, errorMessageId, minValue, maxValue) { var input = document.getElementById(id); var errorDiv = document.getElementById(errorMessageId); var value = parseFloat(input.value); var isValid = true; errorDiv.style.display = 'none'; // Hide error by default if (isNaN(value)) { errorDiv.textContent = "Please enter a valid number."; errorDiv.style.display = 'block'; isValid = false; } else if (value maxValue) { errorDiv.textContent = "Value is too high."; errorDiv.style.display = 'block'; isValid = false; } return isValid; } function calculateGrowth() { var ageMonths = parseFloat(document.getElementById('childAgeMonths').value); var weightKg = parseFloat(document.getElementById('childWeightKg').value); var sex = document.getElementById('childSex').value; var resultsContainer = document.getElementById('results-container'); var resultsDisplay = document.getElementById('results-display'); var noResultsMessage = document.getElementById('no-results-message'); var loadingMessage = document.getElementById('loading-message'); // Hide previous results and messages resultsDisplay.style.display = 'none'; noResultsMessage.style.display = 'none'; loadingMessage.style.display = 'block'; // Basic validation var isAgeValid = validateInput('childAgeMonths', 'childAgeMonthsError', 0, 240); // Max 20 years = 240 months var isWeightValid = validateInput('childWeightKg', 'childWeightKgError', 0.1); // Min weight 0.1 kg if (!isAgeValid || !isWeightValid) { loadingMessage.style.display = 'none'; noResultsMessage.style.display = 'block'; return; } // Simulate calculation delay setTimeout(function() { var growthInfo = getGrowthData(ageMonths, sex); var percentile = growthInfo.percentile; var zScore = parseFloat(growthInfo.zScore); var refWeight = parseFloat(growthInfo.refWeight); var status = getGrowthStatus(percentile, zScore); document.getElementById('weightPercentile').textContent = percentile + "th Percentile"; document.getElementById('growthStatus').innerHTML = "Status: " + status; document.getElementById('zScore').innerHTML = "Z-Score: " + zScore; document.getElementById('referenceWeight').innerHTML = "Reference Weight for Age/Sex: " + refWeight + " kg"; resultsDisplay.style.display = 'block'; loadingMessage.style.display = 'none'; // Update chart updateGrowthChart(ageMonths, percentile, sex); }, 500); // 500ms delay to simulate calculation } function resetCalculator() { document.getElementById('childAgeMonths').value = 12; document.getElementById('childWeightKg').value = 9.0; document.getElementById('childSex').value = 'boy'; // Clear errors document.getElementById('childAgeMonthsError').style.display = 'none'; document.getElementById('childWeightKgError').style.display = 'none'; // Hide results and messages document.getElementById('results-display').style.display = 'none'; document.getElementById('no-results-message').style.display = 'none'; document.getElementById('loading-message').style.display = 'none'; // Reset chart to default or empty state if (chart) { chart.destroy(); chart = null; // Ensure chart is recreated } var canvas = document.getElementById('growthChart'); canvas.getContext('2d').clearRect(0, 0, canvas.width, canvas.height); // Clear canvas content // Re-populate sample table on reset as well populateSampleTable(); } function copyResults() { var age = document.getElementById('childAgeMonths').value; var weight = document.getElementById('childWeightKg').value; var sex = document.getElementById('childSex').value; var percentile = document.getElementById('weightPercentile').innerText; var status = document.getElementById('growthStatus').innerText.replace('Status: ', "); var zScore = document.getElementById('zScore').innerText.replace('Z-Score: ', "); var refWeight = document.getElementById('referenceWeight').innerText.replace('Reference Weight for Age/Sex: ', "); if (percentile === '–') { alert("No results to copy yet. Please calculate first."); return; } var textToCopy = "Child Growth Chart Results:\n" + "————————–\n" + "Age: " + age + " months\n" + "Weight: " + weight + " kg\n" + "Sex: " + sex.charAt(0).toUpperCase() + sex.slice(1) + "\n" + "————————–\n" + "Percentile: " + percentile + "\n" + "Status: " + status + "\n" + "Z-Score: " + zScore + "\n" + "Reference Weight: " + refWeight + "\n" + "————————–\n" + "Calculated using a simplified model. Always consult a healthcare professional."; navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy: ', err); prompt("Copy manually:", textToCopy); // Fallback for browsers that don't support clipboard API directly }); } function updateGrowthChart(ageMonths, percentile, sex) { var canvas = document.getElementById('growthChart'); var ctx = canvas.getContext('2d'); // Destroy previous chart instance if it exists if (chart) { chart.destroy(); } // Set canvas dimensions based on container or default var chartContainer = canvas.parentElement; canvas.width = chartContainer.offsetWidth – 40; // Adjust for padding canvas.height = 300; var chartData = { labels: [], datasets: [ { label: 'Your Child\'s Percentile', data: [], borderColor: '#004a99', backgroundColor: 'rgba(0, 74, 153, 0.6)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 7 }, { label: '50th Percentile (Median)', data: [], // Placeholder, will be filled with 50 for all points borderColor: '#28a745', backgroundColor: 'rgba(40, 167, 69, 0.4)', fill: false, tension: 0.1, pointRadius: 0, // No point for this line borderDash: [5, 5] // Dashed line } ] }; // Generate labels and data points for the chart up to a reasonable age limit (e.g., 36 months) var maxChartAge = Math.max(ageMonths, 36); // Ensure current age is visible, extend to at least 36 months // Find the highest age in our data that's relevant, and ensure it's at least maxChartAge var highestDataAge = Math.max(…Object.keys(growthData).map(Number)); maxChartAge = Math.max(maxChartAge, highestDataAge); for (var i = 0; i <= maxChartAge; i++) { chartData.labels.push(i); var currentGrowth = getGrowthData(i, sex); chartData.datasets[0].data.push(currentGrowth.percentile); // Use calculated percentile for the child's line chartData.datasets[1].data.push(50); // Set 50th percentile for the median line } // Ensure the specific child's percentile is plotted correctly at their age // Find the data point for the exact ageMonths entered, and ensure it's used for the child's line. // If exact ageMonths is not in data, interpolation will handle it. var childDataPointIndex = chartData.labels.indexOf(ageMonths); if (childDataPointIndex !== -1) { chartData.datasets[0].data[childDataPointIndex] = percentile; // Override with actual calculated percentile } else { // If the exact age isn't in labels (e.g., if loop stops early), find closest and add // This is a simplification; a more robust approach would ensure the ageMonths point is calculated and plotted. // For this example, we rely on getGrowthData interpolation for data points between integers. } chart = new Chart(ctx, { type: 'line', data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (Months)' }, min: 0, // max: maxChartAge // Allow chart to auto-scale reasonably }, y: { title: { display: true, text: 'Percentile' }, min: 0, max: 100, ticks: { callback: function(value) { if (value % 10 === 0) return value; // Show ticks every 10% } } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(1) + '%'; } return label; } } }, legend: { position: 'top', } } } }); } // Initial population of the sample table and chart on page load window.onload = function() { populateSampleTable(); // Optionally calculate default values and show chart on load calculateGrowth(); // Call with default values }; // Polyfill for Chart.js destroy method if needed (though modern versions have it) if (!Chart.prototype.destroy) { Chart.prototype.destroy = function() { this.canvas.width = this.canvas.width; // Clear canvas this.canvas = null; this.ctx = null; this.chart = null; // … other cleanup properties if necessary }; } // Ensure Chart.js is available (assuming it's loaded externally or bundled) if (typeof Chart === 'undefined') { console.error("Chart.js library is not loaded."); // You might want to display a message to the user or load it dynamically here. } <!– NOTE: This code assumes Chart.js is loaded externally. If you are running this in a standalone HTML file, you'll need to include the Chart.js library: (Or the latest version) –>

Leave a Comment