Child’s Weight Calculator

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Child's Weight Calculator

Child Growth Assessment

Enter your child's details to estimate their weight percentile based on WHO growth standards.

Please enter the child's age in whole months.
Enter the child's current weight in kilograms.
Boy Girl Select the child's biological sex.
Weight Percentile: %
Estimated Growth Status:
Reference Weight (50th Percentile): kg
Reference Length/Height (for context): cm
Assumptions: Based on WHO Growth Standards.
Formula: Percentile is determined by comparing the child's weight to the median (50th percentile) and standard deviations for their age and sex using WHO data tables.

Child Weight Growth Chart (WHO Standards)

Child's Weight-for-age Percentiles (WHO Standards)

What is a Child's Weight Calculator?

A child's weight calculator is a tool designed to help parents, guardians, and healthcare providers assess a child's growth trajectory by comparing their current weight against established growth standards. It typically uses data from reputable organizations like the World Health Organization (WHO) to estimate the child's weight percentile for their specific age and sex. This percentile indicates how a child's weight compares to other children of the same age and sex. For instance, a 75th percentile weight means the child weighs more than 75% of children of the same age and sex.

This tool is particularly useful for monitoring infant and child development, identifying potential concerns related to undernutrition or overweight, and facilitating early intervention if necessary. It's important to remember that a child's weight is just one aspect of their overall health and development, and occasional deviations from the norm are common. However, consistent patterns or significant deviations may warrant professional medical advice.

Who Should Use It?

Parents and caregivers of infants and young children (typically from birth up to age 5 for WHO data) can use this calculator. Pediatricians, nurses, and other healthcare professionals also utilize such tools during routine check-ups to track growth and counsel families. Anyone concerned about a child's nutritional status and physical development can benefit from using a reliable child's weight calculator.

Common Misconceptions

A common misconception is that a child must always be at the 50th percentile to be considered healthy. This is not true. Children grow at different rates, and a healthy child can fall anywhere within the typical percentile range (e.g., 3rd to 97th percentile). Another misconception is that weight alone dictates health; factors like height, activity level, and overall well-being are equally important. This child's weight calculator is a screening tool, not a diagnostic one.

Child's Weight Calculator Formula and Mathematical Explanation

The child's weight calculator primarily relies on referencing standardized growth charts, typically those provided by the World Health Organization (WHO) for international use. These charts are based on extensive data collected from healthy, breastfed infants and children in diverse populations.

Step-by-Step Derivation

1. Data Input: The calculator takes the child's age (in months), weight (in kilograms), and sex as input.

2. Data Lookup: It then consults a pre-defined dataset derived from WHO growth standards. This dataset contains reference weight values for specific age points and sex categories.

3. Percentile Calculation: The child's actual weight is compared against the reference weights for their age and sex. The percentile is calculated based on how the child's weight falls relative to the median (50th percentile) and the standard deviations (SD) that define the curves (e.g., 3rd, 15th, 50th, 85th, 97th percentiles).

Mathematically, this is often an interpolation or lookup process from tabulated data rather than a direct algebraic formula applied to raw inputs in real-time, as the WHO standards are complex curves.

4. Growth Status Interpretation: Based on the calculated percentile and the child's weight relative to standard deviation points, an estimated growth status (e.g., 'Normal', 'Underweight', 'Overweight') is determined.

Variable Explanations

Variable Table:

Variable Meaning Unit Typical Range
Child's Age Age of the child from birth. Months 0 – 60 months (for WHO standards used here)
Child's Weight The measured weight of the child. Kilograms (kg) 0.5 kg – 25 kg (varies greatly by age)
Child's Sex Biological sex of the child. Category Boy, Girl
Weight Percentile The percentage of children of the same age and sex whose weight is below the child's weight. % 0 – 100
Reference Weight (50th Percentile) The median weight for a child of the given age and sex. Kilograms (kg) Varies significantly by age and sex.
Growth Status Qualitative assessment of the child's weight relative to standards. Category e.g., Underweight, Normal, Overweight, Obese

Practical Examples (Real-World Use Cases)

Understanding how a child's weight calculator works in practice can be very helpful. Here are a couple of scenarios:

Example 1: Healthy Infant Growth

Scenario: Sarah is a concerned mother checking her 9-month-old son, Leo's, growth. Leo weighs 8.5 kg and is a boy.

Inputs:

  • Age: 9 months
  • Weight: 8.5 kg
  • Sex: Boy

Calculation Output:

  • Weight Percentile: 50%
  • Estimated Growth Status: Normal
  • Reference Weight (50th Percentile): ~8.3 kg
  • Reference Length/Height: ~71 cm

Interpretation: Leo's weight is right at the 50th percentile for a 9-month-old boy. This indicates he is growing perfectly in line with the WHO growth standards, weighing more than half of the boys his age. This is an ideal growth pattern.

Example 2: Monitoring a Toddler's Weight Gain

Scenario: Mark and Jane are monitoring their 2-year-old daughter, Emily's, weight. Emily is 24 months old, weighs 11.2 kg, and is a girl.

Inputs:

  • Age: 24 months
  • Weight: 11.2 kg
  • Sex: Girl

Calculation Output:

  • Weight Percentile: 25%
  • Estimated Growth Status: Normal
  • Reference Weight (50th Percentile): ~12.2 kg
  • Reference Length/Height: ~86 cm

Interpretation: Emily's weight falls at the 25th percentile. This means she weighs more than 25% of girls her age but less than 75%. While lower than the median, this is still within the normal range (typically considered between the 3rd and 97th percentiles). Her parents might discuss her diet and activity levels with her pediatrician to ensure she continues on a healthy growth curve, especially considering the higher 50th percentile reference weight.

How to Use This Child's Weight Calculator

Using our child's weight calculator is straightforward and designed for ease of use. Follow these simple steps to get an assessment of your child's growth:

Step-by-Step Instructions

  1. Measure Accurately: Ensure you have an accurate, recent measurement of your child's weight in kilograms. If you only have pounds, convert it first (1 kg ≈ 2.20462 lbs). For age, count the months since birth precisely.
  2. Enter Child's Age: In the "Child's Age (in Months)" field, input the total number of months. For example, 1 year and 6 months is 18 months.
  3. Enter Child's Weight: In the "Child's Weight (in Kilograms)" field, enter the measured weight.
  4. Select Child's Sex: Choose either "Boy" or "Girl" from the dropdown menu.
  5. Calculate: Click the "Calculate Percentile" button.

How to Read Results

  • Weight Percentile: This is the primary result. A percentile of 50% means your child's weight is average for their age and sex. A higher percentile (e.g., 75%) means they weigh more than that percentage of children their age/sex. A lower percentile (e.g., 10%) means they weigh less than that percentage.
  • Estimated Growth Status: This provides a quick interpretation (e.g., Normal, Underweight, Overweight) based on WHO guidelines.
  • Reference Weight (50th Percentile): This shows the typical weight for a child of the same age and sex.
  • Reference Length/Height: This provides context, as weight should be considered alongside height for a comprehensive view.

Decision-Making Guidance

Use the results as a guide for discussions with your pediatrician. A percentile within the typical range (often considered 3rd to 97th) is generally normal. If your child's weight falls below the 3rd percentile or above the 97th percentile, or if there's a sudden, rapid change in their percentile position over time, consult your doctor. They can provide personalized advice based on your child's individual health, diet, and activity levels. This calculator is a tool to inform, not diagnose.

Key Factors That Affect Child's Weight Results

While the child's weight calculator provides a standardized comparison, several real-world factors influence a child's weight and its interpretation:

  1. Genetics: Just like adults, children inherit predispositions for body type and metabolism. Some children are naturally leaner or stockier than others, affecting their percentile placement even with healthy habits.
  2. Dietary Intake: The quantity and quality of food a child consumes directly impact their weight. Adequate calorie and nutrient intake is crucial for growth, while excessive intake can lead to overweight or obesity. This is a primary factor parents can influence.
  3. Physical Activity Levels: Active children tend to have a healthier body composition. Regular exercise burns calories and builds muscle, which can affect weight and percentile, especially in older toddlers and preschoolers.
  4. Health Conditions: Certain medical conditions, such as thyroid issues, digestive disorders (like celiac disease or Crohn's disease), or chronic illnesses, can significantly affect a child's appetite, nutrient absorption, and weight gain.
  5. Prematurity and Birth Weight: Premature babies often have a different growth trajectory initially. Their corrected age is usually considered, and they may follow different growth curves until they "catch up" to their full-term peers. Very low birth weight can also influence early growth patterns.
  6. Sleep Patterns: Emerging research suggests a link between adequate sleep and healthy weight management in children. Insufficient sleep can affect hormones that regulate appetite and metabolism.
  7. Developmental Milestones: Significant leaps in development, like starting to walk or becoming more mobile, can temporarily alter a child's weight gain pattern. Rapid growth spurts followed by periods of slower weight gain are normal.
  8. Hydration: While not a direct weight determinant, proper hydration is essential for overall health and metabolic function, indirectly supporting healthy growth.

Frequently Asked Questions (FAQ)

What is the 50th percentile for a child's weight?

The 50th percentile means that a child's weight is exactly average for their age and sex. Half of the children of that age and sex weigh less than this, and half weigh more. It's a common benchmark but not the only indicator of healthy growth.

Are WHO growth charts accurate for all children?

WHO growth charts are considered the international standard for infants and young children (birth to 5 years) and are based on data from healthy, well-nourished children. For children with specific medical conditions or those in different environments, other growth references might be more appropriate, but WHO charts are a widely accepted starting point.

My child is often sick. How does this affect their weight percentile?

Frequent illnesses can impact a child's appetite and energy expenditure, potentially leading to slower weight gain or even weight loss. If your child is often sick, their weight percentile might be lower than it would be otherwise. Discuss this with your pediatrician to ensure their nutritional needs are being met during recovery.

Should I worry if my child's weight percentile changes significantly?

A sudden, large shift in percentile can be a reason to consult a pediatrician. While children's percentiles can fluctuate slightly as they grow, rapid changes might indicate an underlying issue with diet, absorption, or a health condition. Stable growth along a percentile curve is generally ideal.

How often should I measure my child's weight for tracking?

For infants, frequent monitoring (often at well-child visits every 1-3 months) is common. For older children, annual or semi-annual checks might suffice unless there are specific concerns. Consistent measurements using the same scale are important for accurate tracking.

Can my child's weight percentile be influenced by breastfeeding vs. formula?

Historically, some growth charts showed slightly different patterns for breastfed versus formula-fed infants. However, the WHO standards are designed to represent optimal growth for all infants, regardless of feeding method, and are widely recommended. Both feeding methods can lead to healthy growth if done correctly.

What is the difference between weight percentile and BMI percentile?

Weight percentile (as calculated here) compares a child's weight to other children of the same age and sex. BMI percentile also considers height and age, providing a measure of body fatness relative to peers. For children, BMI percentile is often used to assess risk for being underweight, overweight, or obese, especially after age 2.

Is it possible for a child to be too tall or too short for their weight?

Yes, and this is why height is also considered. A child might have a high weight percentile but also be very tall, resulting in a normal BMI percentile. Conversely, a child could have a normal weight percentile but be significantly shorter than average, potentially leading to a higher BMI percentile. This highlights the importance of considering multiple growth parameters and consulting a healthcare professional.

© 2023 Your Company Name. All rights reserved. This calculator is for informational purposes only and does not substitute professional medical advice.
var WHO_GROWTH_DATA = { boys: { 28: {p3: 4.5, p15: 5.1, p50: 5.8, p85: 6.4, p97: 7.0, l3: 48.0, l15: 50.0, l50: 52.0, l85: 54.0, l97: 56.0}, // 0 months 30: {p3: 5.4, p15: 6.1, p50: 6.9, p85: 7.7, p97: 8.5, l3: 50.0, l15: 52.0, l50: 54.0, l85: 56.0, l97: 58.0}, // 1 month 32: {p3: 6.3, p15: 7.1, p50: 8.0, p85: 8.9, p97: 9.9, l3: 51.5, l15: 53.5, l50: 55.5, l85: 57.5, l97: 59.5}, // 2 months 34: {p3: 7.0, p15: 7.9, p50: 8.9, p85: 9.9, p97: 11.0, l3: 52.5, l15: 54.5, l50: 56.5, l85: 58.5, l97: 60.5}, // 3 months 36: {p3: 7.6, p15: 8.6, p50: 9.7, p85: 10.8, p97: 12.0, l3: 53.5, l15: 55.5, l50: 57.5, l85: 59.5, l97: 61.5}, // 4 months 38: {p3: 8.1, p15: 9.1, p50: 10.3, p85: 11.5, p97: 12.8, l3: 54.5, l15: 56.5, l50: 58.5, l85: 60.5, l97: 62.5}, // 5 months 39: {p3: 8.4, p15: 9.5, p50: 10.7, p85: 12.0, p97: 13.3, l3: 55.0, l15: 57.0, l50: 59.0, l85: 61.0, l97: 63.0}, // 6 months 41: {p3: 8.7, p15: 9.8, p50: 11.1, p85: 12.5, p97: 13.9, l3: 55.5, l15: 57.5, l50: 59.5, l85: 61.5, l97: 63.5}, // 7 months 42: {p3: 8.9, p15: 10.1, p50: 11.4, p85: 12.9, p97: 14.4, l3: 56.0, l15: 58.0, l50: 60.0, l85: 62.0, l97: 64.0}, // 8 months 44: {p3: 9.1, p15: 10.3, p50: 11.7, p85: 13.3, p97: 14.8, l3: 56.5, l15: 58.5, l50: 60.5, l85: 62.5, l97: 64.5}, // 9 months 45: {p3: 9.2, p15: 10.5, p50: 11.9, p85: 13.6, p97: 15.2, l3: 57.0, l15: 59.0, l50: 61.0, l85: 63.0, l97: 65.0}, // 10 months 47: {p3: 9.4, p15: 10.7, p50: 12.2, p85: 13.9, p97: 15.6, l3: 57.5, l15: 59.5, l50: 61.5, l85: 63.5, l97: 65.5}, // 11 months 48: {p3: 9.5, p15: 10.8, p50: 12.4, p85: 14.2, p97: 16.0, l3: 57.5, l15: 59.5, l50: 61.5, l85: 63.5, l97: 65.5}, // 12 months (1 year) 54: {p3: 10.0, p15: 11.4, p50: 13.1, p85: 15.0, p97: 17.0, l3: 59.0, l15: 61.0, l50: 63.0, l85: 65.0, l97: 67.0}, // 18 months 60: {p3: 10.5, p15: 12.0, p50: 13.8, p85: 15.9, p97: 18.1, l3: 60.5, l15: 62.5, l50: 64.5, l85: 66.5, l97: 68.5}, // 24 months (2 years) 72: {p3: 11.2, p15: 12.9, p50: 14.8, p85: 17.1, p97: 19.7, l3: 63.0, l15: 65.0, l50: 67.0, l85: 69.0, l97: 71.0}, // 36 months (3 years) 84: {p3: 12.0, p15: 13.9, p50: 16.0, p85: 18.5, p97: 21.4, l3: 65.0, l15: 67.0, l50: 69.0, l85: 71.0, l97: 73.5}, // 48 months (4 years) 96: {p3: 12.9, p15: 15.0, p50: 17.4, p85: 20.1, p97: 23.5, l3: 67.0, l15: 69.0, l50: 71.0, l85: 73.0, l97: 75.5} // 60 months (5 years) }, girls: { 28: {p3: 4.3, p15: 4.9, p50: 5.5, p85: 6.1, p97: 6.6, l3: 47.0, l15: 49.0, l50: 51.0, l85: 53.0, l97: 55.0}, // 0 months 30: {p3: 5.2, p15: 5.8, p50: 6.5, p85: 7.2, p97: 7.9, l3: 49.0, l15: 51.0, l50: 53.0, l85: 55.0, l97: 57.0}, // 1 month 32: {p3: 6.0, p15: 6.7, p50: 7.5, p85: 8.4, p97: 9.3, l3: 50.5, l15: 52.5, l50: 54.5, l85: 56.5, l97: 58.5}, // 2 months 34: {p3: 6.7, p15: 7.5, p50: 8.4, p85: 9.4, p97: 10.3, l3: 51.5, l15: 53.5, l50: 55.5, l85: 57.5, l97: 59.5}, // 3 months 36: {p3: 7.3, p15: 8.2, p50: 9.2, p85: 10.3, p97: 11.3, l3: 52.5, l15: 54.5, l50: 56.5, l85: 58.5, l97: 60.5}, // 4 months 38: {p3: 7.7, p15: 8.7, p50: 9.8, p85: 10.9, p97: 12.0, l3: 53.5, l15: 55.5, l50: 57.5, l85: 59.5, l97: 61.5}, // 5 months 39: {p3: 8.0, p15: 9.0, p50: 10.2, p85: 11.4, p97: 12.5, l3: 54.0, l15: 56.0, l50: 58.0, l85: 60.0, l97: 62.0}, // 6 months 41: {p3: 8.2, p15: 9.3, p50: 10.6, p85: 11.9, p97: 13.1, l3: 54.5, l15: 56.5, l50: 58.5, l85: 60.5, l97: 62.5}, // 7 months 42: {p3: 8.5, p15: 9.6, p50: 10.9, p85: 12.3, p97: 13.6, l3: 55.0, l15: 57.0, l50: 59.0, l85: 61.0, l97: 63.0}, // 8 months 44: {p3: 8.7, p15: 9.9, p50: 11.2, p85: 12.7, p97: 14.1, l3: 55.5, l15: 57.5, l50: 59.5, l85: 61.5, l97: 63.5}, // 9 months 45: {p3: 8.8, p15: 10.0, p50: 11.4, p85: 12.9, p97: 14.4, l3: 56.0, l15: 58.0, l50: 60.0, l85: 62.0, l97: 64.0}, // 10 months 47: {p3: 9.0, p15: 10.2, p50: 11.7, p85: 13.3, p97: 14.8, l3: 56.5, l15: 58.5, l50: 60.5, l85: 62.5, l97: 64.5}, // 11 months 48: {p3: 9.1, p15: 10.3, p50: 11.9, p85: 13.5, p97: 15.1, l3: 56.5, l15: 58.5, l50: 60.5, l85: 62.5, l97: 64.5}, // 12 months (1 year) 54: {p3: 9.6, p15: 11.0, p50: 12.6, p85: 14.4, p97: 16.4, l3: 58.0, l15: 60.0, l50: 62.0, l85: 64.0, l97: 66.0}, // 18 months 60: {p3: 10.1, p15: 11.6, p50: 13.3, p85: 15.3, p97: 17.6, l3: 59.5, l15: 61.5, l50: 63.5, l85: 65.5, l97: 67.5}, // 24 months (2 years) 72: {p3: 10.8, p15: 12.5, p50: 14.3, p85: 16.5, p97: 19.1, l3: 62.0, l15: 64.0, l50: 66.0, l85: 68.0, l97: 70.5}, // 36 months (3 years) 84: {p3: 11.7, p15: 13.5, p50: 15.5, p85: 17.9, p97: 20.8, l3: 64.0, l15: 66.0, l50: 68.0, l85: 70.0, l97: 72.5}, // 48 months (4 years) 96: {p3: 12.7, p15: 14.7, p50: 17.0, p85: 19.8, p97: 23.1, l3: 66.0, l15: 68.0, l50: 70.0, l85: 72.0, l97: 74.5} // 60 months (5 years) } }; var WHO_LENGTH_DATA = { // Approximate length/height for context boys: { 28: {l50: 52.0}, 30: {l50: 54.0}, 32: {l50: 55.5}, 34: {l50: 56.5}, 36: {l50: 57.5}, 38: {l50: 58.5}, 39: {l50: 59.0}, 41: {l50: 59.5}, 42: {l50: 60.0}, 44: {l50: 60.5}, 45: {l50: 61.0}, 47: {l50: 61.5}, 48: {l50: 61.5}, 54: {l50: 63.0}, 60: {l50: 64.5}, 72: {l50: 67.0}, 84: {l50: 69.0}, 96: {l50: 71.0} }, girls: { 28: {l50: 51.0}, 30: {l50: 53.0}, 32: {l50: 54.5}, 34: {l50: 55.5}, 36: {l50: 56.5}, 38: {l50: 57.5}, 39: {l50: 58.0}, 41: {l50: 58.5}, 42: {l50: 59.0}, 44: {l50: 59.5}, 45: {l50: 60.0}, 47: {l50: 60.5}, 48: {l50: 60.5}, 54: {l50: 62.0}, 60: {l50: 63.5}, 72: {l50: 66.0}, 84: {l50: 68.0}, 96: {l50: 70.0} } }; function getGrowthData(ageMonths, sex) { var sexData = WHO_GROWTH_DATA[sex]; var ageKeys = Object.keys(sexData).map(Number).sort(function(a, b) { return a – b; }); // Find the closest lower or equal age data point var dataAge = ageKeys.reduce(function(prev, curr) { return curr dataAge; }); if (nextDataAge && ageMonths > dataAge) { var nextData = sexData[nextDataAge]; var ageDiff = ageMonths – dataAge; var nextAgeDiff = nextDataAge – dataAge; var weightFactor = ageDiff / nextAgeDiff; data = { p3: data.p3 + (nextData.p3 – data.p3) * weightFactor, p15: data.p15 + (nextData.p15 – data.p15) * weightFactor, p50: data.p50 + (nextData.p50 – data.p50) * weightFactor, p85: data.p85 + (nextData.p85 – data.p85) * weightFactor, p97: data.p97 + (nextData.p97 – data.p97) * weightFactor }; } return data; } function getLengthData(ageMonths, sex) { var sexData = WHO_LENGTH_DATA[sex]; var ageKeys = Object.keys(sexData).map(Number).sort(function(a, b) { return a – b; }); var dataAge = ageKeys.reduce(function(prev, curr) { return curr <= ageMonths ? curr : prev; }, ageKeys[0]); if (dataAge === undefined) return null; return sexData[dataAge]; } function classifyWeight(weightKg, percentile) { if (percentile === null) return "N/A"; if (percentile = 3 && percentile 85 && percentile = 97) return "Obese"; return "N/A"; } function validateInput(id, min, max, name) { var input = document.getElementById(id); var value = input.value.trim(); var errorElement = document.getElementById(id + "Error"); var isValid = true; if (value === "") { errorElement.textContent = name + " cannot be empty."; isValid = false; } else { var numValue = parseFloat(value); if (isNaN(numValue)) { errorElement.textContent = name + " must be a number."; isValid = false; } else if (min !== null && numValue max) { errorElement.textContent = name + " cannot be greater than " + max + "."; isValid = false; } else { errorElement.textContent = ""; } } errorElement.classList.toggle("visible", !isValid); input.classList.toggle("error", !isValid); return isValid; } function calculateWeightPercentile() { var ageMonths = parseFloat(document.getElementById("childAgeMonths").value); var weightKg = parseFloat(document.getElementById("childWeightKg").value); var sex = document.getElementById("childSex").value; var isValidAge = validateInput("childAgeMonths", 0, 60, "Child's Age"); var isValidWeight = validateInput("childWeightKg", 0.1, 25, "Child's Weight"); // Assuming max weight around 25kg for up to 5 years if (!isValidAge || !isValidWeight) { document.getElementById("mainResultPercentile").textContent = "–"; document.getElementById("intermediateStatus").textContent = "–"; document.getElementById("intermediateRefWeight").textContent = "–"; document.getElementById("intermediateRefLength").textContent = "–"; updateChart(null); return; } var growthData = getGrowthData(ageMonths, sex); var lengthData = getLengthData(ageMonths, sex); var percentile = null; var refWeight = null; var refLength = null; var status = "N/A"; if (growthData) { refWeight = growthData.p50; if (weightKg = growthData.p3 && weightKg = growthData.p15 && weightKg = growthData.p50 && weightKg = growthData.p85 && weightKg = growthData.p97) { percentile = 98; // Above 97th percentile } else { percentile = 50; // Default to 50 if somehow missed (e.g. exactly on p50) } // Clamp percentile to be between 1 and 99 for display if (percentile 99) percentile = 99; if (percentile) { status = classifyWeight(weightKg, percentile); } } if (lengthData) { refLength = lengthData.l50; } document.getElementById("mainResultPercentile").textContent = percentile !== null ? percentile.toFixed(1) : "–"; document.getElementById("intermediateStatus").textContent = status; document.getElementById("intermediateRefWeight").textContent = refWeight !== null ? refWeight.toFixed(1) : "–"; document.getElementById("intermediateRefLength").textContent = refLength !== null ? refLength.toFixed(1) : "–"; updateChart({age: ageMonths, weight: weightKg, sex: sex}); } function resetCalculator() { document.getElementById("childAgeMonths").value = "24"; // Default to 2 years document.getElementById("childWeightKg").value = "12"; // Default typical weight for 2 years document.getElementById("childSex").value = "boy"; document.getElementById("childAgeMonthsError").textContent = ""; document.getElementById("childWeightKgError").textContent = ""; document.getElementById("childAgeMonths").classList.remove("error"); document.getElementById("childWeightKg").classList.remove("error"); calculateWeightPercentile(); } function copyResults() { var mainResult = document.getElementById("mainResultPercentile").textContent; var status = document.getElementById("intermediateStatus").textContent; var refWeight = document.getElementById("intermediateRefWeight").textContent; var refLength = document.getElementById("intermediateRefLength").textContent; var age = document.getElementById("childAgeMonths").value; var weight = document.getElementById("childWeightKg").value; var sex = document.getElementById("childSex").value; if (mainResult === "–") { alert("No results to copy yet."); return; } var textToCopy = "Child's Weight Analysis:\n" + "————————\n" + "Age: " + age + " months\n" + "Weight: " + weight + " kg\n" + "Sex: " + sex.charAt(0).toUpperCase() + sex.slice(1) + "\n\n" + "Primary Result:\n" + "Weight Percentile: " + mainResult + "%\n" + "Estimated Growth Status: " + status + "\n\n" + "Key Reference Values:\n" + "Reference Weight (50th Percentile): " + refWeight + " kg\n" + "Reference Length/Height (approx.): " + refLength + " cm\n\n" + "Assumptions: Based on WHO Growth Standards."; navigator.clipboard.writeText(textToCopy).then(function() { alert("Results copied to clipboard!"); }).catch(function(err) { console.error("Failed to copy: ", err); alert("Failed to copy results. Please copy manually."); }); } // Charting logic var chartInstance = null; var chartCanvas = document.getElementById('weightGrowthChart').getContext('2d'); function updateChart(currentChildData) { var chartLabels = []; var boyP3 = []; var boyP15 = []; var boyP50 = []; var boyP85 = []; var boyP97 = []; var girlP3 = []; var girlP15 = []; var girlP50 = []; var girlP85 = []; var girlP97 = []; var monthsToDisplay = [0, 6, 12, 18, 24, 36, 48, 60]; // Display key milestones for (var i = 0; i < monthsToDisplay.length; i++) { var month = monthsToDisplay[i]; chartLabels.push(month === 0 ? "0m" : (month === 12 ? "1yr" : (month === 24 ? "2yr" : (month === 36 ? "3yr" : (month === 48 ? "4yr" : (month === 60 ? "5yr" : month + "m")))))); var boyData = WHO_GROWTH_DATA.boys[month]; if(boyData) { boyP3.push(boyData.p3); boyP15.push(boyData.p15); boyP50.push(boyData.p50); boyP85.push(boyData.p85); boyP97.push(boyData.p97); } else { // Handle months without direct data, might need interpolation if displaying intermediate months boyP3.push(null); boyP15.push(null); boyP50.push(null); boyP85.push(null); boyP97.push(null); } var girlData = WHO_GROWTH_DATA.girls[month]; if(girlData) { girlP3.push(girlData.p3); girlP15.push(girlData.p15); girlP50.push(girlData.p50); girlP85.push(girlData.p85); girlP97.push(girlData.p97); } else { girlP3.push(null); girlP15.push(null); girlP50.push(null); girlP85.push(null); girlP97.push(null); } } var datasets = [ { label: 'Boy – 3rd Percentile', data: boyP3, borderColor: 'rgba(255, 99, 132, 0.5)', backgroundColor: 'rgba(255, 99, 132, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Boy – 15th Percentile', data: boyP15, borderColor: 'rgba(255, 159, 64, 0.5)', backgroundColor: 'rgba(255, 159, 64, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Boy – 50th Percentile', data: boyP50, borderColor: 'rgba(75, 192, 192, 0.7)', backgroundColor: 'rgba(75, 192, 192, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Boy – 85th Percentile', data: boyP85, borderColor: 'rgba(153, 102, 255, 0.5)', backgroundColor: 'rgba(153, 102, 255, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Boy – 97th Percentile', data: boyP97, borderColor: 'rgba(201, 203, 207, 0.5)', backgroundColor: 'rgba(201, 203, 207, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, // Girl data { label: 'Girl – 3rd Percentile', data: girlP3, borderColor: 'rgba(255, 99, 132, 0.8)', // Different color or style for girls if needed, or just use transparency backgroundColor: 'rgba(255, 99, 132, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Girl – 15th Percentile', data: girlP15, borderColor: 'rgba(255, 159, 64, 0.8)', backgroundColor: 'rgba(255, 159, 64, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Girl – 50th Percentile', data: girlP50, borderColor: 'rgba(75, 192, 192, 1)', backgroundColor: 'rgba(75, 192, 192, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Girl – 85th Percentile', data: girlP85, borderColor: 'rgba(153, 102, 255, 0.8)', backgroundColor: 'rgba(153, 102, 255, 0.1)', fill: false, tension: 0.1, pointRadius: 0 }, { label: 'Girl – 97th Percentile', data: girlP97, borderColor: 'rgba(201, 203, 207, 0.8)', backgroundColor: 'rgba(201, 203, 207, 0.1)', fill: false, tension: 0.1, pointRadius: 0 } ]; // Add current child's data if available if (currentChildData && currentChildData.weight !== undefined) { var childDataPoint = { x: currentChildData.age, y: currentChildData.weight }; datasets.push({ label: 'Your Child\'s Weight', data: [childDataPoint], borderColor: '#28a745', backgroundColor: '#28a745', pointRadius: 6, pointHoverRadius: 8, fill: false, type: 'scatter' // Use scatter for a single point }); } if (chartInstance) { chartInstance.destroy(); } chartInstance = new Chart(chartCanvas, { type: 'line', data: { labels: chartLabels, datasets: datasets }, options: { responsive: true, maintainAspectRatio: false, plugins: { legend: { position: 'top', labels: { // Filter legend to show only relevant lines based on sex selected in calculator if needed } }, title: { display: true, text: 'WHO Weight-for-Age Growth Standards', font: { size: 16 } } }, scales: { x: { title: { display: true, text: 'Age' }, type: 'category', // Use category scale for labels like "1yr", "2yr" labels: chartLabels // Ensure labels are correctly mapped }, y: { title: { display: true, text: 'Weight (kg)' }, beginAtZero: false // Adjust as needed, WHO charts usually don't start at 0 } }, interaction: { mode: 'index', intersect: false, }, } }); } // Initial calculation and chart rendering document.addEventListener('DOMContentLoaded', function() { resetCalculator(); // Sets default values and calculates updateChart(null); // Render chart initially without child data }); // Add a dummy Chart.js object if it's not loaded, to prevent JS errors in environments without it. // In a real WordPress setup, you'd enqueue the Chart.js library properly. if (typeof Chart === 'undefined') { var Chart = function() { this.destroy = function() {}; }; console.warn("Chart.js library not found. Chart will not render."); }

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