Child Weight Calculator Metric

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Child Weight Calculator (Metric)

Child Weight Assessment

Enter the child's age in complete months.
Enter the child's weight in kilograms.
Enter the child's height in centimeters.
Male Female Select the child's sex for more accurate percentile curves.

Your Child's Weight Status

Enter details to see results

BMI (Body Mass Index): Calculated as weight (kg) divided by height squared (m²).
Weight-for-Age Percentile: Compares your child's weight to other children of the same age and sex.
Height-for-Age Percentile: Compares your child's height to other children of the same age and sex.

Child Growth Chart (BMI Percentiles)

What is a Child Weight Calculator (Metric)?

A child weight calculator metric is a specialized online tool designed to help parents, caregivers, and healthcare professionals assess a child's physical growth, specifically focusing on weight, height, and Body Mass Index (BMI) using metric units (kilograms and centimeters). This child weight calculator metric provides an estimate of whether a child's weight is appropriate for their age and height, based on established growth charts and percentiles. It's a crucial tool for monitoring a child's development trajectory from infancy through adolescence.

Understanding your child's growth is vital for their overall health and well-being. This child weight calculator metric helps identify potential concerns related to being underweight, overweight, or obese, which can have long-term health implications. By inputting simple data like age, weight, height, and sex, parents can gain immediate insights into their child's growth pattern. It is important to remember that this calculator is for informational purposes and should not replace professional medical advice from a pediatrician or healthcare provider. The child weight calculator metric is a supportive tool, not a diagnostic one.

Who Should Use the Child Weight Calculator (Metric)?

  • Parents and Guardians: To proactively monitor their child's growth and development between pediatrician visits.
  • Caregivers: To ensure proper nutrition and growth for children under their care.
  • Healthcare Professionals: As a quick reference tool to supplement clinical assessments.
  • Educators: To understand general growth trends within age groups.

Common Misconceptions

  • Misconception: A single measurement determines if a child is healthy.
    Reality: Growth is a trend. Consistent monitoring and professional assessment are key.
  • Misconception: The calculator diagnoses a health problem.
    Reality: It provides an indication based on percentiles, but only a doctor can diagnose.
  • Misconception: All children of the same age and sex should weigh the same.
    Reality: There's a wide range of normal growth, reflected in percentile curves.

The child weight calculator metric aims to demystify growth monitoring, offering a user-friendly way to engage with your child's health metrics.

Child Weight Calculator (Metric) Formula and Mathematical Explanation

The child weight calculator metric relies on several key calculations to provide a comprehensive assessment of a child's growth. The primary metrics are BMI, and importantly, BMI-for-age percentiles, alongside height-for-age percentiles. These metrics help contextualize a child's measurements within expected ranges for their age and sex.

1. Body Mass Index (BMI) Calculation

BMI is a simple index of weight for height that is commonly used to classify weight categories. For children, BMI is age- and sex-specific, which is why the calculator requires this information.

Formula:

BMI = Weight (kg) / [Height (m)]²

To use this formula, the child's height in centimeters must first be converted to meters by dividing by 100.

2. BMI-for-Age Percentiles

This is the most critical output of a child weight calculator metric. Unlike adult BMI categories, children's BMI is interpreted based on growth charts that plot BMI against age for specific sex categories. These charts, often developed by organizations like the WHO or CDC, provide percentile curves. The calculator estimates where the child's calculated BMI falls on these curves.

Explanation:

The calculator uses complex statistical models (often based on the LMS method – Lambda, Mu, Sigma) to determine the percentile rank. This involves comparing the child's BMI (and age/sex) to a large dataset of children. The result indicates what percentage of children of the same age and sex have a BMI equal to or less than the child in question. For example, a 50th percentile means the child's BMI is greater than 50% of children their age and sex.

3. Height-for-Age Percentiles

Similar to BMI-for-age, height-for-age compares a child's height to the expected height for children of the same age and sex. This helps assess whether a child is growing appropriately in terms of length/stature.

Explanation:

The calculation is analogous to BMI-for-age percentiles, using the child's height measurement against age- and sex-specific reference data.

Variables Used

Variables and Their Meanings
Variable Meaning Unit Typical Range
Age Child's age from birth Months 0 – 240 (0 – 20 years)
Weight Child's body mass Kilograms (kg) 0.5 – 150+ kg
Height Child's length or stature Centimeters (cm) 30 – 200+ cm
Sex Biological sex of the child Category (Male/Female) Male, Female
BMI Body Mass Index kg/m² Calculated value (varies)
BMI Percentile Rank of child's BMI relative to peers Percentile (%) 1 – 99
Height Percentile Rank of child's height relative to peers Percentile (%) 1 – 99

The child weight calculator metric provides these percentile values, which are then interpreted according to standard pediatric growth charts.

Practical Examples (Real-World Use Cases)

Here are a couple of examples illustrating how to use the child weight calculator metric and interpret the results:

Example 1: Healthy Growth Monitoring

Scenario: Sarah is a mother concerned about her 3-year-old son, Leo, who has always been an active child. She uses the child weight calculator metric.

Inputs:

  • Age: 36 months (3 years)
  • Weight: 15 kg
  • Height: 95 cm
  • Sex: Male

Calculator Outputs:

  • BMI: 16.6 kg/m²
  • BMI-for-Age Percentile: 55th Percentile
  • Height-for-Age Percentile: 60th Percentile

Interpretation: Leo's BMI falls within the healthy weight range for his age and sex (typically between the 5th and 85th percentiles). His height is also growing proportionally. This suggests Leo is following a healthy growth curve. The child weight calculator metric helps confirm Sarah's observation that Leo is growing well.

Example 2: Potential Overweight Concern

Scenario: David's daughter, Emily, is 6 years old. He notices she has gained weight rapidly over the past year and wants to check using the child weight calculator metric.

Inputs:

  • Age: 72 months (6 years)
  • Weight: 25 kg
  • Height: 115 cm
  • Sex: Female

Calculator Outputs:

  • BMI: 18.9 kg/m²
  • BMI-for-Age Percentile: 90th Percentile
  • Height-for-Age Percentile: 70th Percentile

Interpretation: Emily's BMI percentile is high (90th). This places her in the overweight category according to CDC/WHO growth charts (typically 85th-94th percentile for overweight, and 95th percentile or higher for obesity). While her height percentile is within a healthy range, her weight is significantly higher than that of her peers. This result from the child weight calculator metric indicates a need for a consultation with a pediatrician to discuss nutrition, physical activity, and potential lifestyle adjustments.

These examples highlight how the child weight calculator metric provides context to raw measurements, aiding in proactive health management.

How to Use This Child Weight Calculator (Metric)

Using this child weight calculator metric is straightforward. Follow these simple steps to get a clear picture of your child's growth status:

Step-by-Step Guide

  1. Gather Information: You will need your child's current age in months, their weight in kilograms (kg), and their height in centimeters (cm). Ensure you have the most recent measurements.
  2. Input Age: Enter the child's age in the "Child's Age (Months)" field.
  3. Input Weight: Enter the child's weight in kilograms in the "Child's Weight (kg)" field.
  4. Input Height: Enter the child's height in centimeters in the "Child's Height (cm)" field.
  5. Select Sex: Choose "Male" or "Female" from the dropdown menu for "Child's Sex." This is important as growth charts differ between sexes.
  6. Click Calculate: Press the "Calculate" button.

How to Read Results

  • Primary Result: This will display the BMI-for-Age percentile. It tells you how your child's weight compares to other children of the same age and sex.
    • Underweight: Typically below the 5th percentile.
    • Healthy Weight: Typically between the 5th and 85th percentiles.
    • Overweight: Typically between the 85th and 94th percentiles.
    • Obese: Typically at or above the 95th percentile.
  • Intermediate Values:
    • Weight-for-Age Percentile: Shows how your child's weight compares to peers, irrespective of height.
    • Height-for-Age Percentile: Shows how your child's height compares to peers. A significant difference between height and weight percentiles might warrant further investigation.
    • BMI: The raw calculated Body Mass Index value.
  • Growth Chart: The visual chart provides a graphical representation of the BMI percentile relative to age, helping you see the trend.

Decision-Making Guidance

The results from the child weight calculator metric should be discussed with a healthcare professional. If your child falls into the underweight, overweight, or obese categories, consult your pediatrician. They can perform a thorough evaluation, consider factors not captured by the calculator (like puberty, muscle mass, and overall health), and recommend appropriate dietary, exercise, or lifestyle changes if necessary. Use the information from this child weight calculator metric as a starting point for informed conversations about your child's health.

Key Factors That Affect Child Weight Calculator Results

While the child weight calculator metric provides valuable insights based on age, weight, height, and sex, several other factors can influence a child's growth and the interpretation of these results. Understanding these nuances is crucial for a holistic view of a child's health.

  1. Genetics and Family History:

    A child's genetic predisposition plays a significant role in their body composition and growth patterns. If parents or close relatives are tall, short, or have a tendency towards being overweight or underweight, their child may exhibit similar traits. The child weight calculator metric provides a snapshot against population averages, but family genetics can explain deviations within a healthy range.

  2. Puberty and Growth Spurts:

    Children experience rapid growth spurts, particularly during puberty. During these periods, weight and height can increase dramatically, sometimes causing temporary shifts in BMI percentiles. The calculator reflects the measurement at a specific point in time; these fluctuations are normal but should be considered in the context of the child's overall developmental stage.

  3. Muscle Mass vs. Fat Mass:

    BMI and its percentiles do not differentiate between muscle mass and fat mass. A very athletic child with significant muscle development might have a higher BMI, potentially placing them in an "overweight" category, even if they have low body fat. Conversely, a child with low muscle tone might appear to be within a healthy weight range despite having a higher percentage of body fat.

  4. Bone Structure and Frame Size:

    Children naturally have different skeletal frames (e.g., small, medium, large boned). A child with a larger bone structure might weigh more than a peer of the same height and age with a smaller frame, influencing their BMI. The child weight calculator metric uses standard percentiles, which average out these variations.

  5. Dietary Habits and Nutrition:

    The quality and quantity of food a child consumes directly impact their weight gain and growth. Inadequate nutrient intake can lead to being underweight, while excessive consumption of calorie-dense, nutrient-poor foods can contribute to overweight or obesity. The child weight calculator metric results can be a prompt to evaluate current eating patterns.

  6. Physical Activity Levels:

    Regular physical activity is essential for healthy growth and weight management. Children who are more active tend to have higher muscle mass and lower body fat percentages. Sedentary lifestyles can contribute to weight gain, even with seemingly moderate food intake. The child weight calculator metric's output can highlight the need for increased physical activity.

  7. Underlying Medical Conditions:

    Certain medical conditions, such as thyroid issues, hormonal imbalances, or genetic syndromes, can affect a child's growth rate and weight. Similarly, conditions affecting appetite or nutrient absorption can lead to underweight. A pediatrician's assessment is vital to rule out or manage any such underlying health issues.

  8. Medications:

    Some medications can have side effects that influence appetite, metabolism, or body weight. If a child is on long-term medication, this could be a factor influencing their weight and the interpretation of the child weight calculator metric's results.

It's important to use the child weight calculator metric as one piece of the puzzle, alongside regular check-ups and a comprehensive understanding of the child's overall lifestyle and health status.

Frequently Asked Questions (FAQ)

  • What is the ideal weight for a child?
    There isn't a single "ideal" weight for a child, as healthy weight varies significantly based on age, height, sex, body composition, and genetics. The child weight calculator metric provides a percentile range, indicating where the child falls compared to their peers, rather than a fixed number. The goal is typically to stay within the healthy weight range (5th to 85th percentile for BMI-for-age).
  • How often should I use a child weight calculator?
    It's recommended to use a child weight calculator metric (or, more importantly, discuss these metrics with your pediatrician) during regular well-child check-ups, typically every few months for infants and toddlers, and annually for older children. Using it too frequently between professional visits might cause unnecessary worry, but for monitoring trends, a few times a year can be beneficial.
  • What if my child's height and weight percentiles are very different?
    A significant discrepancy between height-for-age and weight-for-age percentiles can be noteworthy. For instance, if a child's height percentile is much lower than their weight percentile, it might suggest they are overweight for their stature. Conversely, if their height percentile is high but their weight percentile is low, they might be considered underweight. This warrants a discussion with a pediatrician.
  • Does this calculator account for premature babies?
    Standard growth charts and calculators like this one are generally designed for full-term infants and children. Premature babies often require specialized growth charts that account for their corrected age (age from the due date, not the birth date). It is essential to consult with a neonatologist or pediatrician for accurate growth assessment of premature infants.
  • Can this calculator be used for teenagers?
    Yes, this child weight calculator metric can be used for children up to age 20, as it typically utilizes growth charts that extend into adolescence. Puberty can cause significant growth spurts and changes in body composition, so monitoring during these years is particularly important. The interpretation remains based on age- and sex-specific percentiles.
  • What are the standard BMI categories for children using this calculator?
    Based on CDC/WHO guidelines:
    • Below 5th percentile: Underweight
    • 5th to 85th percentile: Healthy weight
    • 85th to 94th percentile: Overweight
    • 95th percentile or higher: Obese
    These are general guidelines, and a healthcare provider will offer a personalized assessment.
  • Is it possible for my child to be in the healthy weight range but still have health issues?
    Yes, it is possible. BMI is a screening tool, not a diagnostic one. A child within the healthy BMI percentile range could potentially have other health concerns related to nutrition (e.g., vitamin deficiencies), physical activity, or underlying medical conditions. A comprehensive health evaluation by a doctor is always necessary.
  • How accurate is the child weight calculator metric?
    The accuracy of the child weight calculator metric depends on the underlying data and algorithms used, which are typically based on reputable sources like the WHO or CDC growth charts. These charts are derived from large populations. However, individual growth patterns can vary, and the calculator provides an estimate relative to population averages. It's a valuable tool but should always be used in conjunction with professional medical advice.
  • What is the difference between weight-for-age and BMI-for-age?
    Weight-for-age looks solely at how a child's weight compares to other children of the same age and sex. It doesn't account for height. BMI-for-age, used by this child weight calculator metric, considers both weight and height relative to age and sex. It's a better indicator of body fatness and, therefore, a more comprehensive measure of a child's weight status.
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Please check input."; errorElement.classList.add('visible'); return false; } errorElement.textContent = ""; errorElement.classList.remove('visible'); return true; } function hideError(errorId) { var errorElement = document.getElementById(errorId); errorElement.textContent = ""; errorElement.classList.remove('visible'); } function calculateWeight() { var ageInput = document.getElementById("childAge"); var weightInput = document.getElementById("childWeight"); var heightInput = document.getElementById("childHeight"); var sexSelect = document.getElementById("childSex"); var primaryResultDiv = document.getElementById("primaryResult"); var weightForAgeSpan = document.getElementById("weightForAge"); var heightForAgeSpan = document.getElementById("heightForAge"); var bmiSpan = document.getElementById("bmi"); // Input validation var isValidAge = validateInput("childAge", 0, 240, "childAgeError"); var isValidWeight = validateInput("childWeight", 0, 150, "childWeightError"); // Max ~150kg for safety var isValidHeight = validateInput("childHeight", 30, 200, "childHeightError"); // Min ~30cm for infants, Max ~200cm for adults if (!isValidAge || !isValidWeight || !isValidHeight) { primaryResultDiv.textContent = "Please enter valid details."; return; } var age = parseFloat(ageInput.value); var weight = parseFloat(weightInput.value); // in kg var height = parseFloat(heightInput.value); // in cm var sex = sexSelect.value; // Convert height from cm to meters var heightInMeters = height / 100; // Calculate BMI var bmi = weight / (heightInMeters * heightInMeters); bmiSpan.textContent = "BMI: " + bmi.toFixed(2) + " kg/m²"; // — Placeholder for Percentile Calculation — // Actual percentile calculation requires complex lookup tables and algorithms (e.g., LMS method) // For this example, we'll use simplified, illustrative logic and sample data. // In a real-world scenario, you'd integrate with a robust pediatric growth chart library or API. var bmiPercentile = calculateBmiPercentile(age, sex, bmi); var weightPercentile = calculateWeightPercentile(age, sex, weight); var heightPercentile = calculateHeightPercentile(age, sex, height); // Display primary result (BMI Percentile) primaryResultDiv.textContent = bmiPercentile.toFixed(0) + "%"; primaryResultDiv.style.color = getPercentileColor(bmiPercentile); primaryResultDiv.style.borderColor = getPercentileColor(bmiPercentile); // Display intermediate results weightForAgeSpan.innerHTML = "Weight-for-Age: " + weightPercentile.toFixed(0) + "%"; heightForAgeSpan.innerHTML = "Height-for-Age: " + heightPercentile.toFixed(0) + "%"; // Update Chart updateChart(age, bmi, bmiPercentile); } // — Simplified Percentile Calculation Functions (Illustrative) — // These functions are highly simplified and do not represent actual medical growth charts. // They use basic linear interpolation and sample data points for demonstration. // A real implementation would use WHO/CDC data and the LMS method. function getPercentileColor(percentile) { if (percentile < 5) return "#dc3545"; // Red for Underweight if (percentile < 85) return "#28a745"; // Green for Healthy if (percentile < 95) return "#ffc107"; // Yellow for Overweight return "#dc3545"; // Red for Obese } // Simplified BMI Percentile Calculation function calculateBmiPercentile(age, sex, bmi) { // This is a placeholder. Real calculation involves complex LMS method with specific parameters for age and sex. // Sample data approximation for illustration: var data = { male: [ {age: 12, bmi: 14.5, p5: 2, p50: 15, p85: 17.5, p95: 19}, // 1 year {age: 24, bmi: 15.5, p5: 2, p50: 15, p85: 18, p95: 20}, // 2 years {age: 36, bmi: 16.5, p5: 3, p50: 16, p85: 18.5, p95: 21}, // 3 years {age: 48, bmi: 16.8, p5: 3, p50: 16.5, p85: 19, p95: 22}, // 4 years {age: 60, bmi: 17.0, p5: 4, p50: 17, p85: 19.5, p95: 23}, // 5 years {age: 72, bmi: 18.0, p5: 5, p50: 17.5, p85: 20, p95: 23.5}, // 6 years {age: 96, bmi: 19.5, p5: 6, p50: 18.5, p85: 21.5, p95: 25}, // 8 years {age: 120, bmi: 21.0, p5: 8, p50: 20, p85: 23.5, p95: 27}, // 10 years {age: 144, bmi: 22.5, p5: 10, p50: 21.5, p85: 25, p95: 29}, // 12 years {age: 180, bmi: 24.0, p5: 12, p50: 23, p85: 27, p95: 31}, // 15 years {age: 240, bmi: 25.0, p5: 14, p50: 24, p85: 28, p95: 32} // 20 years ], female: [ {age: 12, bmi: 14.0, p5: 2, p50: 15, p85: 17, p95: 18.5}, // 1 year {age: 24, bmi: 15.0, p5: 2, p50: 15, p85: 17.5, p95: 19.5}, // 2 years {age: 36, bmi: 15.8, p5: 3, p50: 15.5, p85: 18, p95: 20.5}, // 3 years {age: 48, bmi: 16.0, p5: 3, p50: 16, p85: 18.5, p95: 21}, // 4 years {age: 60, bmi: 16.5, p5: 4, p50: 16.5, p85: 19, p95: 22}, // 5 years {age: 72, bmi: 17.5, p5: 5, p50: 17, p85: 19.5, p95: 22.5}, // 6 years {age: 96, bmi: 19.0, p5: 6, p50: 18, p85: 21, p95: 24.5}, // 8 years {age: 120, bmi: 20.5, p5: 8, p50: 19.5, p85: 23, p95: 27}, // 10 years {age: 144, bmi: 22.0, p5: 10, p50: 21, p85: 25, p95: 29}, // 12 years {age: 180, bmi: 23.5, p5: 12, p50: 22.5, p85: 26.5, p95: 30.5}, // 15 years {age: 240, bmi: 24.5, p5: 13, p50: 23.5, p85: 27.5, p95: 31.5} // 20 years ] }; var relevantData = data[sex].filter(function(d) { return d.age 1 ? relevantData[1] : closestEntry; // Linear interpolation if age is between two data points var ageDiff = closestEntry.age – prevEntry.age; var ageFactor = ageDiff > 0 ? (age – prevEntry.age) / ageDiff : 0; var p5 = prevEntry.p5 + (closestEntry.p5 – prevEntry.p5) * ageFactor; var p50 = prevEntry.p50 + (closestEntry.p50 – prevEntry.p50) * ageFactor; var p85 = prevEntry.p85 + (closestEntry.p85 – prevEntry.p85) * ageFactor; var p95 = prevEntry.p95 + (closestEntry.p95 – prevEntry.p95) * ageFactor; if (bmi < p5) return (bmi / p5) * 5; if (bmi < p50) return 5 + ((bmi – p5) / (p50 – p5)) * 45; if (bmi < p85) return 50 + ((bmi – p50) / (p85 – p50)) * 35; if (bmi < p95) return 85 + ((bmi – p85) / (p95 – p85)) * 10; return 95 + ((bmi – p95) / (p95 * 1.1 – p95)) * 5; // Estimate beyond 95th percentile } // Simplified Weight Percentile Calculation (Similar logic, different values) function calculateWeightPercentile(age, sex, weight) { var data = { male: [ {age: 12, weight: 9.0, p5: 6.5, p50: 9.5, p85: 11.5, p95: 13}, // 1 year {age: 24, weight: 11.5, p5: 8.5, p50: 12.0, p85: 15.0, p95: 17.0}, // 2 years {age: 36, weight: 13.5, p5: 10.0, p50: 14.0, p85: 17.5, p95: 20.0}, // 3 years {age: 72, weight: 19.0, p5: 13.0, p50: 19.0, p85: 24.0, p95: 28.0}, // 6 years {age: 120, weight: 29.0, p5: 18.0, p50: 28.0, p85: 38.0, p95: 45.0}, // 10 years {age: 180, weight: 52.0, p5: 35.0, p50: 50.0, p85: 65.0, p95: 80.0} // 15 years ], female: [ {age: 12, weight: 8.5, p5: 6.0, p50: 9.0, p85: 11.0, p95: 12.5}, // 1 year {age: 24, weight: 11.0, p5: 8.0, p50: 11.5, p85: 14.5, p95: 16.5}, // 2 years {age: 36, weight: 12.8, p5: 9.5, p50: 13.5, p85: 17.0, p95: 19.5}, // 3 years {age: 72, weight: 18.0, p5: 12.0, p50: 18.0, p85: 23.0, p95: 27.0}, // 6 years {age: 120, weight: 28.0, p5: 17.0, p50: 27.0, p85: 36.0, p95: 43.0}, // 10 years {age: 180, weight: 50.0, p5: 33.0, p50: 48.0, p85: 62.0, p95: 75.0} // 15 years ] }; var relevantData = data[sex].filter(function(d) { return d.age 1 ? relevantData[1] : closestEntry; var ageDiff = closestEntry.age – prevEntry.age; var ageFactor = ageDiff > 0 ? (age – prevEntry.age) / ageDiff : 0; var p5 = prevEntry.p5 + (closestEntry.p5 – prevEntry.p5) * ageFactor; var p50 = prevEntry.p50 + (closestEntry.p50 – prevEntry.p50) * ageFactor; var p85 = prevEntry.p85 + (closestEntry.p85 – prevEntry.p85) * ageFactor; var p95 = prevEntry.p95 + (closestEntry.p95 – prevEntry.p95) * ageFactor; if (weight < p5) return (weight / p5) * 5; if (weight < p50) return 5 + ((weight – p5) / (p50 – p5)) * 45; if (weight < p85) return 50 + ((weight – p50) / (p85 – p50)) * 35; if (weight < p95) return 85 + ((weight – p85) / (p95 – p85)) * 10; return 95 + ((weight – p95) / (p95 * 1.1 – p95)) * 5; } // Simplified Height Percentile Calculation (Similar logic, different values) function calculateHeightPercentile(age, sex, height) { var data = { male: [ {age: 12, height: 75, p5: 68, p50: 76, p85: 82, p95: 86}, // 1 year {age: 24, height: 86, p5: 79, p50: 87, p85: 93, p95: 97}, // 2 years {age: 36, height: 95, p5: 87, p50: 96, p85: 103, p95: 107}, // 3 years {age: 72, height: 120, p5: 108, p50: 120, p85: 129, p95: 135}, // 6 years {age: 120, height: 145, p5: 130, p50: 145, p85: 157, p95: 165}, // 10 years {age: 180, height: 175, p5: 160, p50: 175, p85: 188, p95: 195} // 15 years ], female: [ {age: 12, height: 73, p5: 67, p50: 74, p85: 80, p95: 84}, // 1 year {age: 24, height: 84, p5: 78, p50: 85, p85: 91, p95: 95}, // 2 years {age: 36, height: 93, p5: 86, p50: 94, p85: 101, p95: 105}, // 3 years {age: 72, height: 118, p5: 107, p50: 118, p85: 127, p95: 133}, // 6 years {age: 120, height: 144, p5: 129, p50: 144, p85: 155, p95: 163}, // 10 years {age: 180, height: 163, p5: 150, p50: 163, p85: 174, p95: 182} // 15 years ] }; var relevantData = data[sex].filter(function(d) { return d.age 1 ? relevantData[1] : closestEntry; var ageDiff = closestEntry.age – prevEntry.age; var ageFactor = ageDiff > 0 ? (age – prevEntry.age) / ageDiff : 0; var p5 = prevEntry.p5 + (closestEntry.p5 – prevEntry.p5) * ageFactor; var p50 = prevEntry.p50 + (closestEntry.p50 – prevEntry.p50) * ageFactor; var p85 = prevEntry.p85 + (closestEntry.p85 – prevEntry.p85) * ageFactor; var p95 = prevEntry.p95 + (closestEntry.p95 – prevEntry.p95) * ageFactor; if (height < p5) return (height / p5) * 5; if (height < p50) return 5 + ((height – p5) / (p50 – p5)) * 45; if (height < p85) return 50 + ((height – p50) / (p85 – p50)) * 35; if (height < p95) return 85 + ((height – p85) / (p95 – p85)) * 10; return 95 + ((height – p95) / (p95 * 1.1 – p95)) * 5; } function resetForm() { document.getElementById("childAge").value = ""; document.getElementById("childWeight").value = ""; document.getElementById("childHeight").value = ""; document.getElementById("childSex").value = "male"; document.getElementById("primaryResult").textContent = "Enter details to see results"; document.getElementById("primaryResult").style.color = "#333"; document.getElementById("primaryResult").style.borderColor = "#ddd"; document.getElementById("weightForAge").textContent = ""; document.getElementById("heightForAge").textContent = ""; document.getElementById("bmi").textContent = ""; // Clear errors hideError("childAgeError"); hideError("childWeightError"); hideError("childHeightError"); // Reset chart (optional, or just clear data) var ctx = document.getElementById("growthChart").getContext("2d"); ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); // Optionally re-draw axes or default state drawDefaultChart(); } function copyResults() { var primaryResult = document.getElementById("primaryResult").textContent; var weightForAge = document.getElementById("weightForAge").textContent; var heightForAge = document.getElementById("heightForAge").textContent; var bmi = document.getElementById("bmi").textContent; var age = document.getElementById("childAge").value; var weight = document.getElementById("childWeight").value; var height = document.getElementById("childHeight").value; var sex = document.getElementById("childSex").value; var copyText = "Child Weight Calculator Results:\n\n" + "Inputs:\n" + "- Age: " + age + " months\n" + "- Weight: " + weight + " kg\n" + "- Height: " + height + " cm\n" + "- Sex: " + sex.charAt(0).toUpperCase() + sex.slice(1) + "\n\n" + "Results:\n" + "- BMI-for-Age Percentile: " + primaryResult + "\n" + "- " + weightForAge + "\n" + "- " + heightForAge + "\n" + "- " + bmi + "\n\n" + "Key Assumptions: Calculations based on standard metric units and approximate percentile data."; navigator.clipboard.writeText(copyText).then(function() { // Success feedback – e.g., briefly change button text var btn = document.getElementById("copyBtn"); var originalText = btn.textContent; btn.textContent = "Copied!"; setTimeout(function() { btn.textContent = originalText; }, 2000); }, function(err) { console.error('Async: Could not copy text: ', err); alert('Failed to copy results. Please copy manually.'); }); } // — Charting Logic — var chartInstance = null; function drawDefaultChart() { var ctx = document.getElementById("growthChart").getContext("2d"); if (chartInstance) { chartInstance.destroy(); // Destroy previous instance if exists } chartInstance = new Chart(ctx, { type: 'scatter', // Use scatter for plotting points data: { datasets: [{ label: 'Child BMI', data: [], // Data will be added dynamically backgroundColor: 'rgba(0, 74, 153, 0.7)', // Primary color borderColor: 'rgba(0, 74, 153, 1)', pointRadius: 6, pointHoverRadius: 8, borderWidth: 1 }, { label: 'BMI Percentile Ranges (Illustrative)', data: [ {x: 0, y: 5}, {x: 240, y: 5}, // 5th percentile line {x: 0, y: 85}, {x: 240, y: 85}, // 85th percentile line {x: 0, y: 95}, {x: 240, y: 95} // 95th percentile line ], borderColor: '#6c757d', // Grey for reference lines borderDash: [5, 5], pointRadius: 0, // No points for reference lines showLine: true, fill: false, type: 'line' }] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { type: 'linear', position: 'bottom', title: { display: true, text: 'Age (Months)' }, min: 0, max: 240 // Up to 20 years }, y: { title: { display: true, text: 'BMI (kg/m²)' }, min: 0, max: 35 // Reasonable max BMI for children chart } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.x !== null) { label += 'Age: ' + context.parsed.x.toFixed(0) + 'm, '; } if (context.parsed.y !== null) { label += 'BMI: ' + context.parsed.y.toFixed(2); } return label; } } }, legend: { position: 'top', } } } }); } function updateChart(age, bmi, bmiPercentile) { var ctx = document.getElementById("growthChart").getContext("2d"); if (!chartInstance) { drawDefaultChart(); } // Add the new data point var newDataPoint = { x: age, y: bmi }; chartInstance.data.datasets[0].data.push(newDataPoint); // Update percentile reference lines based on age (simplified – in reality, these lines are curves) // For simplicity, we'll keep the reference lines fixed for now, as they are illustrative curves. // A true chart would need a library that renders actual LMS curves. chartInstance.update(); } // Initial chart draw window.onload = function() { drawDefaultChart(); // Add event listeners for input changes to update in real time var inputs = document.querySelectorAll('.loan-calc-container input, .loan-calc-container select'); inputs.forEach(function(input) { input.addEventListener('input', function() { // Clear previous errors on input var errorId = input.id + 'Error'; var errorElement = document.getElementById(errorId); if (errorElement) { hideError(errorId); } calculateWeight(); // Recalculate on every input change }); }); // Add event listener for copy button document.getElementById("copyBtn").addEventListener("click", copyResults); // Add event listeners for input focus to hide errors inputs.forEach(function(input) { input.addEventListener('focus', function() { var errorId = input.id + 'Error'; var errorElement = document.getElementById(errorId); if (errorElement) { hideError(errorId); } }); }); // FAQ Accordion var faqQuestions = document.querySelectorAll('.faq-question'); faqQuestions.forEach(function(question) { question.addEventListener('click', function() { this.classList.toggle('active'); var answer = this.nextElementSibling; if (this.classList.contains('active')) { answer.style.display = 'block'; } else { answer.style.display = 'none'; } }); }); };

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