Boys’ Height Weight Chart Percentile Calculator

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Boys' Height Weight Chart Percentile Calculator

Accurately determine your son's growth percentile based on age, height, and weight.

Growth Percentile Calculator

Enter the child's age in full months.
Enter the child's weight in kilograms.
Enter the child's height in centimeters.

Your Child's Growth Metrics

Weight Percentile
Height Percentile
BMI
BMI Percentile
How it Works: This calculator uses standard WHO (World Health Organization) growth charts and statistical methods to determine the percentile rank for a boy's weight and height based on his age. A percentile indicates the percentage of children of the same age and sex whose measurements are below a particular value. For example, the 50th percentile means the child is at the average for their age. The BMI percentile is calculated similarly, comparing the child's BMI to that of other children of the same age and sex.

Growth Chart Visualization

Height Weight BMI

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The boys' height weight chart percentile calculator is a vital tool for parents, caregivers, and healthcare professionals to assess a young boy's physical development relative to his peers. It helps determine where a child's height and weight fall on standardized growth charts, typically those provided by organizations like the World Health Organization (WHO) or the Centers for Disease Control and Prevention (CDC). Understanding these percentiles offers insights into whether a child is growing appropriately for their age and sex, identifying potential concerns related to being underweight, overweight, or experiencing growth delays or accelerations. This tool is not a diagnostic instrument but rather a guide to facilitate discussions with pediatricians about a child's overall health and nutritional status.

Who Should Use It:

  • Parents and Guardians: To monitor their son's growth between pediatrician visits and gain peace of mind or identify areas for discussion.
  • Pediatricians and Healthcare Providers: As a quick reference tool during check-ups to plot growth and discuss concerns with families.
  • Childcare Providers: To ensure children in their care are meeting general developmental milestones.
  • Researchers: Studying child development and growth patterns.

Common Misconceptions:

  • Percentile is Destiny: A child consistently in a low percentile (e.g., 5th) is not necessarily unhealthy if they have always been there and are growing along their curve. Similarly, a child in a high percentile (e.g., 90th) isn't automatically unhealthy. Growth patterns and trends are more important than a single snapshot.
  • 50th Percentile is "Perfect": While the 50th percentile represents the median, children thriving at the 10th or 90th percentile are also considered healthy if their growth is consistent.
  • It Replaces Doctor Visits: This calculator is a supplementary tool. Only a qualified healthcare professional can diagnose growth issues or provide personalized medical advice.

{primary_keyword} Formula and Mathematical Explanation

The calculation of height and weight percentiles for boys involves comparing a child's measurements against reference data from large populations. The most common method relies on statistical analysis of growth charts, often using the LMS (Lambda, Mu, Sigma) method, which models the 3rd, 50th, and 97th percentiles across different ages. For practical purposes and simpler calculators, approximations or direct lookups on pre-generated charts are often used.

Core Concepts:

  • Age: The primary independent variable. Growth rates vary significantly with age, especially during infancy and adolescence.
  • Height and Weight: The measurements being assessed.
  • Percentile: A value below which a certain percentage of observations fall. For example, a weight percentile of 75 means the boy weighs more than 75% of boys his age and less than 25%.
  • BMI (Body Mass Index): Calculated as weight (kg) / height (m)^2. This provides a ratio of weight to height.
  • BMI Percentile: The BMI is then compared to the BMI distribution for boys of the same age, similar to how height and weight percentiles are determined.

Simplified Calculation Logic (Conceptual):

While the exact LMS method is complex, a calculator often approximates this by:

  1. Finding the reference values: For the given age, the calculator identifies reference weight (W_ref) and height (H_ref) values, often corresponding to specific percentiles (e.g., 3rd, 5th, 10th, 50th, 90th, 95th, 97th).
  2. Calculating Z-scores (optional but common): A Z-score measures how many standard deviations a value is from the mean. Z = (X – μ) / σ, where X is the child's measurement, μ is the mean (often close to the 50th percentile), and σ is the standard deviation for that age.
  3. Converting Z-scores to Percentiles: Using statistical tables or functions (like the cumulative distribution function of the normal distribution), the Z-score is converted into a percentile rank.
  4. BMI Calculation: BMI = Weight (kg) / (Height (cm) / 100)^2.
  5. BMI Percentile Calculation: Similar to height and weight, the calculated BMI is compared against age-specific BMI reference data to find the BMI percentile.

Variables Table:

Variable Meaning Unit Typical Range (Boys, 0-19 years)
Age Child's age Months 0 – 228 months (0-19 years)
Weight Child's measured weight Kilograms (kg) 0.5 kg – 100+ kg
Height Child's measured height Centimeters (cm) 45 cm – 150+ cm
BMI Body Mass Index (Weight / Height^2) kg/m² Approx. 10 – 25+ kg/m²
Height Percentile Percentage of boys of the same age shorter than the child % 0 – 100%
Weight Percentile Percentage of boys of the same age lighter than the child % 0 – 100%
BMI Percentile Percentage of boys of the same age with lower BMI % 0 – 100%

Practical Examples (Real-World Use Cases)

Let's illustrate with two scenarios using the boys' height weight chart percentile calculator:

Example 1: Monitoring a Toddler's Growth

Scenario: Sarah is concerned because her 24-month-old son, Leo, seems smaller than some other toddlers he plays with. She decides to use the calculator.

Inputs:

  • Age: 24 months
  • Weight: 11.0 kg
  • Height: 83.0 cm

Calculator Output:

  • Main Result: Height Percentile: 25th, Weight Percentile: 30th, BMI Percentile: 45th
  • Intermediate Values: BMI: 15.8 kg/m²
  • Explanation: Leo is in the 25th percentile for height and the 30th percentile for weight. This means he is taller than 25% of boys his age and heavier than 30% of boys his age. His BMI percentile is 45th.

Interpretation: Leo's growth appears consistent and within a healthy range. While he is below the median (50th percentile), his height and weight percentiles are relatively close, suggesting proportional growth. Sarah can discuss this with her pediatrician, but these numbers alone don't indicate a problem.

Example 2: Assessing a School-Aged Child

Scenario: Mark is 6 years old (72 months). His parents notice he's quite lean and want to check his growth metrics.

Inputs:

  • Age: 72 months
  • Weight: 20.0 kg
  • Height: 115.0 cm

Calculator Output:

  • Main Result: Height Percentile: 60th, Weight Percentile: 40th, BMI Percentile: 20th
  • Intermediate Values: BMI: 15.1 kg/m²
  • Explanation: Mark is in the 60th percentile for height and the 40th percentile for weight. His BMI percentile is 20th.

Interpretation: Mark is slightly taller than average for his age (60th percentile) but weighs less relative to his height (40th percentile for weight, 20th for BMI). This indicates he is likely a lean child. His growth seems stable, but his parents might want to ensure he has a balanced diet to support healthy muscle development, especially if he is very active. Again, consulting a pediatrician is recommended for personalized advice.

How to Use This {primary_keyword} Calculator

Using our boys' height weight chart percentile calculator is straightforward. Follow these steps to get accurate growth insights:

  1. Gather Accurate Measurements: Ensure you have the most recent and precise measurements for your son's age, weight, and height. Use a reliable scale for weight (in kilograms) and a measuring tape or stadiometer for height (in centimeters).
  2. Input Age in Months: Enter your son's exact age in full months into the 'Age (Months)' field. For example, a child who is 3 years and 6 months old should be entered as 42 months (3 years * 12 months/year + 6 months).
  3. Enter Weight: Input your son's weight in kilograms (kg) into the 'Weight (kg)' field.
  4. Enter Height: Input your son's height in centimeters (cm) into the 'Height (cm)' field.
  5. Click Calculate: Press the "Calculate Percentile" button.

How to Read Results:

  • Main Result: This highlights the key percentiles calculated.
  • Weight Percentile: Shows where your son's weight ranks compared to other boys his age. The 50th percentile is the median.
  • Height Percentile: Shows where your son's height ranks compared to other boys his age.
  • BMI: Your son's Body Mass Index, a ratio of weight to height.
  • BMI Percentile: Shows where your son's BMI ranks compared to other boys his age. This is crucial for assessing weight status (underweight, healthy weight, overweight, obesity).
  • Formula Explanation: Provides context on how percentiles are determined.

Decision-Making Guidance:

  • Consistent Growth: Look for growth that follows a relatively smooth curve over time. Rapid jumps or drops in percentile can be more significant than the absolute percentile number.
  • Proportionality: Check if height and weight percentiles are reasonably aligned. A significant gap might warrant discussion.
  • Consult a Pediatrician: Always discuss your child's growth charts and percentile data with their doctor. They can interpret the results in the context of your child's overall health, family history, and individual growth pattern. This calculator is a tool to inform, not to diagnose.

Key Factors That Affect {primary_keyword} Results

Several factors influence a boy's position on height and weight charts, impacting his percentile rankings. Understanding these can provide a more holistic view of his development:

  1. Genetics: Parental height and build are strong predictors of a child's potential growth trajectory. Children of taller parents tend to be taller, and this is reflected in their percentiles.
  2. Nutrition: Adequate intake of calories, protein, vitamins, and minerals is fundamental for growth. Malnutrition can lead to slower growth (lower percentiles), while overconsumption of calorie-dense, nutrient-poor foods can contribute to higher weight percentiles and potential obesity.
  3. Sleep: Growth hormone is primarily released during deep sleep. Consistent, sufficient sleep is crucial for optimal physical development.
  4. Physical Activity: Regular exercise contributes to healthy weight management, muscle development, and bone strength. Very high activity levels combined with insufficient calorie intake could potentially lower weight percentiles, while sedentary lifestyles can contribute to higher weight percentiles.
  5. Hormonal Factors: Conditions affecting growth hormone, thyroid hormones, or other endocrine functions can significantly impact growth rate and final height/weight.
  6. Chronic Illnesses: Long-term health conditions (e.g., kidney disease, digestive disorders, chronic infections) can impair nutrient absorption or increase metabolic demands, affecting growth.
  7. Prematurity or Birth Complications: Children born prematurely may take longer to "catch up" to their full-term peers, initially appearing in lower percentiles.
  8. Socioeconomic Factors: Access to nutritious food, healthcare, and safe environments for play can indirectly influence growth patterns.

Frequently Asked Questions (FAQ)

What is the difference between height percentile and weight percentile?

The height percentile indicates how a boy's height compares to other boys of the same age. The weight percentile compares his weight to other boys of the same age. They are independent measures, though often discussed together.

Is it bad if my son is in the 10th percentile for height?

Not necessarily. If your son has consistently been around the 10th percentile since birth and is growing along that curve, it likely reflects his genetic potential. It's more concerning if he drops significantly from a higher percentile or shows a plateau in growth. Always consult a pediatrician.

How often should I check my son's growth percentiles?

Pediatricians typically plot growth on charts during regular check-ups (e.g., every few months in infancy, annually later on). For home use, checking every 3-6 months can provide a good trend overview, but avoid excessive worry over short-term fluctuations.

What does a BMI percentile of over 85% mean for a boy?

A BMI percentile between 85% and 95% for boys typically indicates the child is considered overweight. A BMI percentile of 95% or higher indicates obesity. These classifications are based on established guidelines and warrant discussion with a healthcare provider regarding nutrition and activity.

Can this calculator be used for girls?

No, this specific calculator is designed for boys' growth charts. Girls have different growth patterns and require separate growth charts and calculators.

What are the standard growth charts used?

This calculator generally aligns with WHO (World Health Organization) growth standards for children aged 0-5 years and CDC growth charts for children aged 2-19 years, which are widely accepted globally.

My son's weight percentile is much higher than his height percentile. What does this mean?

This suggests your son weighs more relative to his height than most boys his age. It could indicate he is carrying more body fat or is simply more solidly built. It's important to look at the BMI percentile as well, as it provides a clearer picture of weight status relative to height.

How does prematurity affect growth percentiles?

Premature babies are often plotted on growth charts using their "corrected age" (age from the due date, not the birth date) for the first couple of years. They may initially be in lower percentiles but often "catch up" over time. Consistent monitoring with corrected age is key.

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var ageInput = document.getElementById('age'); var weightInput = document.getElementById('weight'); var heightInput = document.getElementById('height'); var ageError = document.getElementById('ageError'); var weightError = document.getElementById('weightError'); var heightError = document.getElementById('heightError'); var mainResultDisplay = document.getElementById('mainResult'); var weightPercentileDisplay = document.getElementById('weightPercentileContainer').querySelector('span'); var heightPercentileDisplay = document.getElementById('heightPercentileContainer').querySelector('span'); var bmiDisplay = document.getElementById('bmiContainer').querySelector('span'); var bmiPercentileDisplay = document.getElementById('bmiPercentileContainer').querySelector('span'); // Simplified WHO/CDC data for demonstration purposes. Real-world calculators use more complex datasets and interpolation. // Data structure: { age_in_months: { height_cm: { p3, p5, p10, p25, p50, p75, p90, p95, p97 }, weight_kg: { … }, bmi_kgm2: { … } } } // This is a highly simplified representation. Actual data spans many more ages and percentiles. var growthData = { 0: { height_cm: { p3: 45.0, p5: 45.7, p10: 47.0, p25: 48.8, p50: 50.0, p75: 51.2, p90: 52.5, p95: 53.3, p97: 53.9 }, weight_kg: { p3: 2.5, p5: 2.7, p10: 3.0, p25: 3.4, p50: 3.7, p75: 4.1, p90: 4.5, p95: 4.8, p97: 5.0 }, bmi_kgm2: { p3: 11.0, p5: 11.5, p10: 12.0, p25: 12.8, p50: 13.5, p75: 14.2, p90: 15.0, p95: 15.5, p97: 15.8 } }, 3: { height_cm: { p3: 53.0, p5: 54.0, p10: 55.5, p25: 57.5, p50: 59.0, p75: 60.5, p90: 62.0, p95: 63.0, p97: 63.8 }, weight_kg: { p3: 4.0, p5: 4.3, p10: 4.7, p25: 5.2, p50: 5.7, p75: 6.2, p90: 6.8, p95: 7.2, p97: 7.5 }, bmi_kgm2: { p3: 13.0, p5: 13.5, p10: 14.0, p25: 14.8, p50: 15.5, p75: 16.2, p90: 17.0, p95: 17.5, p97: 17.8 } }, 6: { height_cm: { p3: 59.0, p5: 60.5, p10: 62.0, p25: 64.5, p50: 66.5, p75: 68.5, p90: 70.5, p95: 71.8, p97: 72.8 }, weight_kg: { p3: 5.5, p5: 5.8, p10: 6.2, p25: 6.8, p50: 7.4, p75: 8.0, p90: 8.7, p95: 9.2, p97: 9.5 }, bmi_kgm2: { p3: 13.5, p5: 14.0, p10: 14.5, p25: 15.2, p50: 16.0, p75: 16.8, p90: 17.5, p95: 18.0, p97: 18.3 } }, 12: { height_cm: { p3: 68.0, p5: 70.0, p10: 72.0, p25: 75.0, p50: 77.0, p75: 79.0, p90: 81.0, p95: 82.5, p97: 83.5 }, weight_kg: { p3: 7.5, p5: 8.0, p10: 8.5, p25: 9.3, p50: 10.0, p75: 10.8, p90: 11.7, p95: 12.3, p97: 12.7 }, bmi_kgm2: { p3: 14.0, p5: 14.5, p10: 15.0, p25: 15.8, p50: 16.5, p75: 17.2, p90: 18.0, p95: 18.5, p97: 18.8 } }, 18: { height_cm: { p3: 75.0, p5: 77.0, p10: 79.0, p25: 82.0, p50: 84.5, p75: 87.0, p90: 89.0, p95: 90.5, p97: 91.5 }, weight_kg: { p3: 9.0, p5: 9.5, p10: 10.0, p25: 10.8, p50: 11.6, p75: 12.5, p90: 13.5, p95: 14.2, p97: 14.6 }, bmi_kgm2: { p3: 14.5, p5: 15.0, p10: 15.5, p25: 16.2, p50: 17.0, p75: 17.8, p90: 18.5, p95: 19.0, p97: 19.3 } }, 24: { height_cm: { p3: 81.0, p5: 83.0, p10: 85.0, p25: 88.0, p50: 90.5, p75: 93.0, p90: 95.0, p95: 96.5, p97: 97.5 }, weight_kg: { p3: 10.0, p5: 10.5, p10: 11.0, p25: 11.8, p50: 12.6, p75: 13.5, p90: 14.5, p95: 15.2, p97: 15.6 }, bmi_kgm2: { p3: 14.8, p5: 15.3, p10: 15.8, p25: 16.5, p50: 17.2, p75: 18.0, p90: 18.8, p95: 19.3, p97: 19.6 } }, 36: { height_cm: { p3: 88.0, p5: 90.0, p10: 92.0, p25: 95.0, p50: 97.5, p75: 100.0, p90: 102.5, p95: 104.0, p97: 105.0 }, weight_kg: { p3: 11.5, p5: 12.0, p10: 12.6, p25: 13.5, p50: 14.5, p75: 15.5, p90: 16.8, p95: 17.5, p97: 18.0 }, bmi_kgm2: { p3: 15.0, p5: 15.5, p10: 16.0, p25: 16.8, p50: 17.5, p75: 18.3, p90: 19.0, p95: 19.5, p97: 19.8 } }, 48: { height_cm: { p3: 94.0, p5: 96.0, p10: 98.0, p25: 101.0, p50: 103.5, p75: 106.0, p90: 108.5, p95: 110.0, p97: 111.0 }, weight_kg: { p3: 12.5, p5: 13.0, p10: 13.6, p25: 14.5, p50: 15.5, p75: 16.6, p90: 18.0, p95: 18.8, p97: 19.3 }, bmi_kgm2: { p3: 15.2, p5: 15.7, p10: 16.2, p25: 17.0, p50: 17.8, p75: 18.6, p90: 19.5, p95: 20.0, p97: 20.3 } }, 60: { height_cm: { p3: 100.0, p5: 102.0, p10: 104.0, p25: 107.0, p50: 109.5, p75: 112.0, p90: 114.5, p95: 116.0, p97: 117.0 }, weight_kg: { p3: 13.5, p5: 14.0, p10: 14.7, p25: 15.7, p50: 16.8, p75: 18.0, p90: 19.5, p95: 20.3, p97: 20.8 }, bmi_kgm2: { p3: 15.5, p5: 16.0, p10: 16.5, p25: 17.3, p50: 18.2, p75: 19.1, p90: 20.0, p95: 20.6, p97: 20.9 } }, 72: { height_cm: { p3: 105.0, p5: 107.0, p10: 109.0, p25: 112.0, p50: 114.5, p75: 117.0, p90: 119.5, p95: 121.0, p97: 122.0 }, weight_kg: { p3: 14.5, p5: 15.0, p10: 15.8, p25: 16.8, p50: 18.0, p75: 19.2, p90: 20.8, p95: 21.8, p97: 22.3 }, bmi_kgm2: { p3: 15.8, p5: 16.3, p10: 16.8, p25: 17.6, p50: 18.5, p75: 19.4, p90: 20.5, p95: 21.1, p97: 21.4 } }, // Add more data points for a more comprehensive calculator, especially for older ages up to 19 years. // This is a placeholder. Real data is much more granular. // Example for older age (simplified): 96: { height_cm: { p3: 115.0, p5: 117.0, p10: 119.0, p25: 122.0, p50: 125.0, p75: 128.0, p90: 131.0, p95: 133.0, p97: 134.0 }, weight_kg: { p3: 17.0, p5: 17.8, p10: 18.8, p25: 20.5, p50: 22.5, p75: 24.5, p90: 27.0, p95: 28.5, p97: 29.5 }, bmi_kgm2: { p3: 16.5, p5: 17.0, p10: 17.5, p25: 18.2, p50: 19.0, p75: 19.8, p90: 20.8, p95: 21.5, p97: 21.8 } }, 120: { height_cm: { p3: 125.0, p5: 127.0, p10: 129.0, p25: 132.0, p50: 135.0, p75: 138.0, p90: 141.0, p95: 143.0, p97: 144.0 }, weight_kg: { p3: 20.0, p5: 21.0, p10: 22.5, p25: 24.5, p50: 27.0, p75: 29.5, p90: 32.5, p95: 34.5, p97: 35.5 }, bmi_kgm2: { p3: 16.8, p5: 17.3, p10: 17.8, p25: 18.5, p50: 19.5, p75: 20.5, p90: 21.8, p95: 22.5, p97: 22.8 } }, 144: { height_cm: { p3: 135.0, p5: 137.0, p10: 139.0, p25: 142.0, p50: 145.0, p75: 148.0, p90: 151.0, p95: 153.0, p97: 154.0 }, weight_kg: { p3: 24.0, p5: 25.5, p10: 27.0, p25: 29.5, p50: 32.5, p75: 35.5, p90: 39.0, p95: 41.5, p97: 43.0 }, bmi_kgm2: { p3: 17.0, p5: 17.5, p10: 18.0, p25: 18.8, p50: 19.8, p75: 20.8, p90: 22.0, p95: 23.0, p97: 23.5 } }, 168: { height_cm: { p3: 145.0, p5: 147.0, p10: 149.0, p25: 152.0, p50: 155.0, p75: 158.0, p90: 161.0, p95: 163.0, p97: 164.0 }, weight_kg: { p3: 28.0, p5: 29.5, p10: 31.5, p25: 34.5, p50: 38.0, p75: 41.5, p90: 45.5, p95: 48.0, p97: 49.5 }, bmi_kgm2: { p3: 17.5, p5: 18.0, p10: 18.5, p25: 19.2, p50: 20.2, p75: 21.2, p90: 22.5, p95: 23.5, p97: 24.0 } }, 192: { height_cm: { p3: 155.0, p5: 157.0, p10: 159.0, p25: 162.0, p50: 165.0, p75: 168.0, p90: 171.0, p95: 173.0, p97: 174.0 }, weight_kg: { p3: 32.0, p5: 33.5, p10: 35.5, p25: 38.5, p50: 42.0, p75: 45.5, p90: 49.5, p95: 52.0, p97: 53.5 }, bmi_kgm2: { p3: 18.0, p5: 18.5, p10: 19.0, p25: 19.8, p50: 20.8, p75: 21.8, p90: 23.0, p95: 24.0, p97: 24.5 } } }; var chartInstance = null; function getPercentile(value, dataArray) { if (!dataArray) return '–'; var keys = Object.keys(dataArray).map(Number).sort(function(a, b) { return a – b; }); var pKeys = keys.filter(function(p) { return p >= 3 && p <= 97; }); // Consider only standard percentiles if (value = pKeys[pKeys.length – 1]) return pKeys[pKeys.length – 1]; for (var i = 0; i = v1 && value <= v2) { // Linear interpolation var percentile = p1 + ((p2 – p1) / (v2 – v1)) * (value – v1); return Math.round(percentile); } } return '–'; // Should not happen if value is within range } function calculateBMI(weightKg, heightCm) { if (weightKg <= 0 || heightCm <= 0) return 0; var heightM = heightCm / 100; return weightKg / (heightM * heightM); } function validateInputs() { var valid = true; var age = parseFloat(ageInput.value); var weight = parseFloat(weightInput.value); var height = parseFloat(heightInput.value); // Reset errors ageError.textContent = ''; ageError.classList.remove('visible'); weightError.textContent = ''; weightError.classList.remove('visible'); heightError.textContent = ''; heightError.classList.remove('visible'); if (isNaN(age) || age 228) { // Max age for typical charts is 19 years (228 months) ageError.textContent = 'Age cannot exceed 228 months (19 years).'; ageError.classList.add('visible'); valid = false; } if (isNaN(weight) || weight 150) { // Realistic upper bound for children weightError.textContent = 'Weight seems unusually high for a child.'; weightError.classList.add('visible'); valid = false; } if (isNaN(height) || height 200) { // Realistic upper bound for children heightError.textContent = 'Height seems unusually high for a child.'; heightError.classList.add('visible'); valid = false; } return valid; } function calculatePercentile() { if (!validateInputs()) { return; } var age = parseFloat(ageInput.value); var weight = parseFloat(weightInput.value); var height = parseFloat(heightInput.value); // Find the closest age data point. For simplicity, we'll use the floor. // A real calculator would interpolate between points. var ageKey = Math.floor(age); var dataPoint = growthData[ageKey]; // Fallback for ages not explicitly in the simplified data if (!dataPoint) { // Try to find nearest lower age if exact match fails var availableAges = Object.keys(growthData).map(Number).sort(function(a, b) { return a – b; }); for (var i = availableAges.length – 1; i >= 0; i–) { if (availableAges[i] <= age) { ageKey = availableAges[i]; dataPoint = growthData[ageKey]; break; } } // If still no data (e.g., age 0) { ageKey = availableAges[0]; dataPoint = growthData[ageKey]; } else if (!dataPoint) { // No data available at all mainResultDisplay.textContent = 'N/A'; weightPercentileDisplay.textContent = '–'; heightPercentileDisplay.textContent = '–'; bmiDisplay.textContent = '–'; bmiPercentileDisplay.textContent = '–'; updateChart([], [], []); // Clear chart return; } } var heightPercentile = getPercentile(height, dataPoint.height_cm); var weightPercentile = getPercentile(weight, dataPoint.weight_kg); var bmi = calculateBMI(weight, height); var bmiPercentile = getPercentile(bmi, dataPoint.bmi_kgm2); mainResultDisplay.textContent = heightPercentile + '% Ht / ' + weightPercentile + '% Wt'; weightPercentileDisplay.textContent = weightPercentile; heightPercentileDisplay.textContent = heightPercentile; bmiDisplay.textContent = bmi.toFixed(1); bmiPercentileDisplay.textContent = bmiPercentile; updateChart(age, height, weight, bmi); } function resetCalculator() { ageInput.value = "; weightInput.value = "; heightInput.value = "; ageError.textContent = "; ageError.classList.remove('visible'); weightError.textContent = "; weightError.classList.remove('visible'); heightError.textContent = "; heightError.classList.remove('visible'); mainResultDisplay.textContent = '–'; weightPercentileDisplay.textContent = '–'; heightPercentileDisplay.textContent = '–'; bmiDisplay.textContent = '–'; bmiPercentileDisplay.textContent = '–'; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } // Optionally set sensible defaults // ageInput.value = 24; // weightInput.value = 12.5; // heightInput.value = 85; // calculatePercentile(); } function copyResults() { var age = ageInput.value || 'N/A'; var weight = weightInput.value || 'N/A'; var height = heightInput.value || 'N/A'; var mainResult = mainResultDisplay.textContent; var weightP = weightPercentileDisplay.textContent; var heightP = heightPercentileDisplay.textContent; var bmiVal = bmiDisplay.textContent; var bmiP = bmiPercentileDisplay.textContent; var resultsText = "Boys' Height Weight Chart Percentile Calculation:\n\n" + "Inputs:\n" + "- Age: " + age + " months\n" + "- Weight: " + weight + " kg\n" + "- Height: " + height + " cm\n\n" + "Results:\n" + "- Height Percentile: " + heightP + "\n" + "- Weight Percentile: " + weightP + "\n" + "- BMI: " + bmiVal + " kg/m²\n" + "- BMI Percentile: " + bmiP + "\n\n" + "Summary: " + mainResult + "\n\n" + "Assumptions: Calculations based on simplified WHO/CDC growth data. Consult a healthcare professional for medical advice."; // Use a temporary textarea to copy text var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied!' : 'Copying failed'; // Optionally show a temporary message to the user var tempMsg = document.createElement('div'); tempMsg.textContent = msg; tempMsg.style.cssText = 'position: fixed; top: 50%; left: 50%; transform: translate(-50%, -50%); background: var(–primary-color); color: white; padding: 15px; border-radius: 5px; z-index: 1000;'; document.body.appendChild(tempMsg); setTimeout(function() { document.body.removeChild(tempMsg); }, 2000); } catch (err) { console.error('Fallback: Oops, unable to copy', err); } document.body.removeChild(textArea); } function updateChart(age, height, weight, bmi) { var ctx = document.getElementById('growthChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Prepare data for chart – simplified representation // In a real scenario, you'd plot reference lines (e.g., 3rd, 50th, 97th percentiles) // and the child's current point. // For this example, we'll just plot the child's current values. var chartData = { labels: ['Height (cm)', 'Weight (kg)', 'BMI (kg/m²)'], datasets: [] }; if (height !== undefined && height !== null) { chartData.datasets.push({ label: 'Height', data: [height, null, null], // Plot height only in the first category backgroundColor: 'rgba(0, 74, 153, 0.6)', // Primary color borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1, type: 'bar' // Use bar for height }); } if (weight !== undefined && weight !== null) { chartData.datasets.push({ label: 'Weight', data: [null, weight, null], // Plot weight only in the second category backgroundColor: 'rgba(40, 167, 69, 0.6)', // Success color borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1, type: 'bar' // Use bar for weight }); } if (bmi !== undefined && bmi !== null) { chartData.datasets.push({ label: 'BMI', data: [null, null, bmi], // Plot BMI only in the third category backgroundColor: 'rgba(255, 193, 7, 0.6)', // Warning color borderColor: 'rgba(255, 193, 7, 1)', borderWidth: 1, type: 'bar' // Use bar for BMI }); } // Add reference lines (conceptual – requires more complex chart setup or SVG) // For simplicity, we'll just show the child's data points. chartInstance = new Chart(ctx, { type: 'bar', // Default type, individual datasets can override data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Value' } }, x: { title: { display: true, text: 'Metric (Age: ' + (age || '–') + ' months)' } } }, plugins: { title: { display: true, text: 'Child\'s Current Growth Metrics' }, legend: { display: false // Legend is handled by the div below canvas } } } }); } // Initial calculation on load if default values are set // calculatePercentile(); // Add event listeners for real-time updates ageInput.addEventListener('input', calculatePercentile); weightInput.addEventListener('input', calculatePercentile); heightInput.addEventListener('input', calculatePercentile); // FAQ functionality var faqItems = document.querySelectorAll('.faq-item'); faqItems.forEach(function(item) { var question = item.querySelector('.faq-question'); question.addEventListener('click', function() { item.classList.toggle('open'); }); }); // Initial calculation if inputs have default values // Example: // ageInput.value = 24; // weightInput.value = 12.5; // heightInput.value = 85; // calculatePercentile();

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