Female Weight Percentile Calculator

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Female Weight Percentile Calculator

Understand your weight in relation to other females of the same age and height.

Weight Percentile Calculator for Females

Enter age in whole years.
Enter current weight in kilograms.
Enter current height in centimeters.

Your Results

Weight Percentile:
BMI:
Category:
Comparison:
The weight percentile is determined by comparing the individual's weight-for-age and height-for-age against standardized growth charts (e.g., WHO or CDC data). BMI is calculated as Weight (kg) / (Height (m))^2. This calculator uses pre-defined reference data to determine the percentile category.

Weight Percentile Distribution by Age

This chart visualizes typical weight percentile curves for females at different ages, with your calculated percentile overlaid.

BMI Categories

Standard BMI Categories for Children & Adolescents
Percentile Range Category
Below 5th percentile Underweight
5th to < 85th percentile Healthy Weight
85th to < 95th percentile Overweight
95th percentile or greater Obese

What is a Female Weight Percentile Calculator?

A female weight percentile calculator is a specialized tool designed to assess a girl's or woman's weight relative to other females of the same age and height. It doesn't just tell you if someone is "overweight" or "underweight" in absolute terms, but rather where their weight falls on a spectrum compared to their peers. This is particularly important for tracking growth and development in children and adolescents, as weight, height, and age are key indicators of health. For adults, while less commonly used than BMI alone, weight percentile can still offer context, especially when considering body composition changes over time.

Who should use it: Primarily parents, guardians, pediatricians, and healthcare providers monitoring the growth of female children and teenagers. Adult women might use it to gain a comparative perspective on their weight, though adult BMI classifications are more standard. It's a tool for understanding trends and potential health risks associated with weight outside the typical range.

Common misconceptions: A common misconception is that a specific percentile (e.g., 75th) automatically means someone is unhealthy. However, percentiles are relative. A 75th percentile might be perfectly healthy for one age group but warrant closer attention at another. Another misconception is that percentile is the same as BMI; while related, percentile is age- and height-specific, whereas BMI is a ratio of weight to height. This female weight percentile calculator helps clarify these distinctions.

Female Weight Percentile Calculator Formula and Mathematical Explanation

Calculating the exact weight percentile typically relies on complex statistical models and reference data, often derived from large-scale growth studies like those by the World Health Organization (WHO) or the Centers for Disease Control and Prevention (CDC). These models use methods like the LMS (Lambda-Mu-Sigma) parameters to estimate percentiles. For simplicity and practical use in a web calculator, pre-computed lookup tables or simplified algorithms based on these parameters are employed.

The core idea involves comparing the individual's measurements (age, height, weight) against a distribution curve for a specific age and sex. The percentile indicates the percentage of individuals in the reference population who are at or below the individual's measured value.

Key Calculations Involved:

  1. Body Mass Index (BMI): This is a foundational metric. The formula is: $$ BMI = \frac{Weight (kg)}{Height (m)^2} $$ Where Height must be converted from centimeters to meters (e.g., 165 cm = 1.65 m).
  2. Weight-for-Age Percentile: This metric compares the child's weight to the weight of other children of the same age.
  3. Height-for-Age Percentile: This metric compares the child's height to the height of other children of the same age.
  4. Weight-for-Height Percentile: This metric compares the child's weight to the height of other children of the same age and sex. This is often the primary metric used for children under 2 years old. For older children, weight-for-age and height-for-age are considered together, often using BMI-for-age percentiles.

Variable Explanations:

Variables Used in Percentile Calculation
Variable Meaning Unit Typical Range
Age Individual's age Years 0 – 19 (for pediatric data)
Weight Individual's body mass Kilograms (kg) Varies widely based on age
Height Individual's standing height Centimeters (cm) Varies widely based on age
BMI Body Mass Index kg/m² Typically 10 – 30+
Percentile Position of the individual's measurement relative to the reference population % 0 – 100

This female weight percentile calculator leverages lookup tables derived from established growth charts. For instance, CDC data for girls aged 2-20 years provides BMI-for-age percentiles. The calculator matches the provided age, height, and weight to find the corresponding percentile within these datasets.

Practical Examples (Real-World Use Cases)

Understanding the female weight percentile calculator is best done through examples:

  1. Example 1: Monitoring Growth in a 7-Year-Old Girl

    Inputs:

    • Age: 7 years
    • Weight: 25 kg
    • Height: 125 cm

    Calculation Steps:

    Convert height to meters: 125 cm = 1.25 m

    Calculate BMI: \( BMI = \frac{25}{(1.25)^2} = \frac{25}{1.5625} = 16 \) kg/m²

    Using CDC BMI-for-age growth charts for girls, a 7-year-old with a BMI of 16 falls approximately at the 50th percentile.

    Outputs:

    • Weight Percentile: 50th
    • BMI: 16.0 kg/m²
    • Category: Healthy Weight
    • Comparison: This weight is typical for her age and height.

    Interpretation: At the 50th percentile, this child's weight is right in the middle of the expected range for girls her age and height. This indicates healthy growth and development according to standard benchmarks. Continuous monitoring is still advised.

  2. Example 2: Assessing Weight Status in a 14-Year-Old Girl

    Inputs:

    • Age: 14 years
    • Weight: 65 kg
    • Height: 168 cm

    Calculation Steps:

    Convert height to meters: 168 cm = 1.68 m

    Calculate BMI: \( BMI = \frac{65}{(1.68)^2} = \frac{65}{2.8224} \approx 23.0 \) kg/m²

    Consulting CDC BMI-for-age growth charts for girls, a 14-year-old with a BMI of 23.0 typically falls around the 90th percentile.

    Outputs:

    • Weight Percentile: 90th
    • BMI: 23.0 kg/m²
    • Category: Overweight
    • Comparison: Her weight is higher than approximately 90% of girls her age and height.

    Interpretation: A 90th percentile indicates the girl is in the 'overweight' category based on CDC growth charts. This doesn't automatically imply a health problem but suggests a need for assessment by a healthcare provider to discuss lifestyle factors, nutrition, and physical activity to ensure healthy development and prevent potential future health issues. This is a crucial insight provided by a reliable female weight percentile calculator.

How to Use This Female Weight Percentile Calculator

Using this online tool is straightforward. Follow these simple steps:

  1. Input Age: Enter the exact age of the female in whole years. For example, if she is 8 years and 6 months, enter '8'.
  2. Input Weight: Enter the current weight in kilograms (kg). Ensure you are using the correct unit.
  3. Input Height: Enter the current height in centimeters (cm).
  4. Click Calculate: Press the "Calculate Percentile" button.

How to read results:

  • Weight Percentile: This number (0-100) indicates where the individual's weight falls compared to others of the same age and height. For example, the 50th percentile means the weight is average, while the 90th percentile means the weight is higher than 90% of peers.
  • BMI: Your Body Mass Index, a ratio of weight to height.
  • Category: This translates the percentile into a standard classification (Underweight, Healthy Weight, Overweight, Obese) based on established pediatric growth charts.
  • Comparison: A brief interpretation of the percentile for easier understanding.

Decision-making guidance: The results from this female weight percentile calculator should be used as a guide, not a diagnosis. If results fall outside the 'Healthy Weight' category (i.e., below the 5th or above the 85th percentile), it's recommended to consult a healthcare professional. They can provide a comprehensive assessment considering the individual's overall health, diet, activity level, and family history.

Key Factors That Affect Female Weight Percentile Results

Several factors influence where an individual falls on the weight percentile charts. Understanding these can provide a more holistic view:

  • Genetics: Inherited traits play a role in body frame, metabolism, and tendency to gain or lose weight. Some individuals naturally have a smaller or larger frame, impacting their percentile position even with similar lifestyle habits.
  • Nutrition and Diet: Caloric intake, the balance of macronutrients (proteins, fats, carbohydrates), and the quality of food consumed significantly impact weight. A diet high in processed foods and sugar, coupled with insufficient nutrient-dense foods, can lead to weight gain and a higher percentile.
  • Physical Activity Levels: Regular exercise helps manage weight by burning calories and building muscle mass. Sedentary lifestyles contribute to weight gain and can result in a higher percentile. The type, duration, and intensity of physical activity matter.
  • Growth Spurts and Development Stages: Children and adolescents experience periods of rapid growth (growth spurts) where weight and height increase significantly. Hormonal changes during puberty also drastically affect body composition and weight distribution. These are normal variations captured by percentile charts.
  • Health Conditions: Certain medical conditions, such as thyroid issues (hypothyroidism), Polycystic Ovary Syndrome (PCOS), or genetic syndromes (e.g., Prader-Willi), can affect weight and growth patterns, leading to deviations from typical percentiles.
  • Socioeconomic Factors: Access to healthy foods, safe places for physical activity, and health education can be influenced by socioeconomic status. These factors indirectly affect nutrition and activity levels, thus impacting weight percentiles.
  • Medications: Some medications can cause weight gain or loss as a side effect, which could alter an individual's weight percentile.

It's important to remember that growth charts are based on population averages. A percentile is just one data point and should be interpreted alongside other health indicators.

Frequently Asked Questions (FAQ)

What is the difference between BMI and weight percentile for females?
BMI is a ratio of weight to height (kg/m²). Weight percentile, for children and adolescents, compares that BMI (or weight-for-age) to the distribution of BMIs (or weights) of other individuals of the same sex and age. A percentile gives context to the BMI value.
Is the 85th percentile for weight considered overweight for a female?
Yes, according to standard CDC and WHO growth charts, a weight percentile at or above the 85th percentile for a female child or adolescent is typically considered overweight. The 95th percentile and above is classified as obese.
How accurate are online female weight percentile calculators?
Online calculators using data from reputable sources like the WHO or CDC are generally accurate for providing an estimated percentile. However, they are tools for screening and awareness, not a substitute for professional medical evaluation.
Should I worry if my daughter is consistently above the 90th percentile?
Consistently being above the 90th percentile warrants a discussion with a pediatrician. While genetics play a role, it may indicate a need to focus on healthy eating habits and physical activity to promote long-term well-being and prevent potential health risks associated with obesity.
Does this calculator work for adult women?
While this calculator uses pediatric growth charts (up to age 19), adult BMI classifications (e.g., underweight, normal, overweight, obese based on BMI ranges) are more commonly used. The BMI calculation itself is the same, but interpretation via percentile is less standard for adults.
What data sources are used for this calculator?
This calculator typically relies on data and methodology from established growth charts, such as those provided by the Centers for Disease Control and Prevention (CDC) or the World Health Organization (WHO). These charts are based on extensive population studies.
Can ethnicity affect weight percentiles?
Growth charts are generally designed to represent diverse populations. However, some research suggests potential variations across ethnic groups, although standard charts aim for broad applicability. It's best discussed with a healthcare provider if concerns arise.
What does 'healthy weight' mean in terms of percentile?
For children and adolescents, 'healthy weight' is generally defined as being between the 5th percentile and less than the 85th percentile for BMI-for-age. This range indicates a weight that is appropriate for their height and stage of growth.

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Disclaimer: This calculator is for informational purposes only and does not constitute medical advice. Always consult with a qualified healthcare provider for any health concerns or before making any decisions related to your health or treatment.

var chartInstance = null; // To hold the chart instance function getGrowthData(age) { // Simplified mock data representing CDC BMI-for-age percentiles for girls. // Real implementation would require a more comprehensive lookup table or API. // Format: { age: { percentile_5: bmi, percentile_50: bmi, percentile_85: bmi, percentile_95: bmi } } // These BMI values are approximate and for illustrative purposes. var data = { 2: {p5: 13.0, p50: 14.5, p85: 16.0, p95: 17.5}, 3: {p5: 13.2, p50: 14.8, p85: 16.5, p95: 18.0}, 4: {p5: 13.5, p50: 15.1, p85: 17.0, p95: 18.5}, 5: {p5: 13.8, p50: 15.5, p85: 17.5, p95: 19.0}, 6: {p5: 14.0, p50: 15.8, p85: 18.0, p95: 19.5}, 7: {p5: 14.3, p50: 16.2, p85: 18.5, p95: 20.0}, 8: {p5: 14.6, p50: 16.5, p85: 19.0, p95: 20.5}, 9: {p5: 15.0, p50: 17.0, p85: 19.5, p95: 21.0}, 10: {p5: 15.5, p50: 17.5, p85: 20.0, p95: 21.5}, 11: {p5: 16.0, p50: 18.0, p85: 20.5, p95: 22.0}, 12: {p5: 16.5, p50: 18.5, p85: 21.0, p95: 22.5}, 13: {p5: 17.0, p50: 19.0, p85: 21.5, p95: 23.0}, 14: {p5: 17.5, p50: 19.5, p85: 22.0, p95: 23.5}, 15: {p5: 18.0, p50: 20.0, p85: 22.5, p95: 24.0}, 16: {p5: 18.5, p50: 20.5, p85: 23.0, p95: 24.5}, 17: {p5: 19.0, p50: 21.0, p85: 23.5, p95: 25.0}, 18: {p5: 19.5, p50: 21.5, p85: 24.0, p95: 25.5}, 19: {p5: 20.0, p50: 22.0, p85: 24.5, p95: 26.0} }; // Find the closest age data or interpolate if needed. // For simplicity, we'll just use the exact age if available. if (data.hasOwnProperty(age)) { return data[age]; } // Fallback: return default values or handle age ranges if (age 19) { // Use data for age 19 for older individuals return data[19]; } // Basic interpolation for ages between data points var lowerAge = Math.floor(age); var upperAge = Math.ceil(age); if (lowerAge === upperAge) return data[age]; // Should not happen if age is not int, but safe check var lowerData = data[lowerAge]; var upperData = data[upperAge]; if (!lowerData || !upperData) return null; // Cannot interpolate var factor = age – lowerAge; var interpolated = {}; for (var key in lowerData) { if (lowerData.hasOwnProperty(key)) { interpolated[key] = lowerData[key] + factor * (upperData[key] – lowerData[key]); } } return interpolated; } function calculateBMI(weightKg, heightCm) { if (isNaN(weightKg) || isNaN(heightCm) || heightCm <= 0) { return null; } var heightM = heightCm / 100; return weightKg / (heightM * heightM); } function getCategory(percentile) { if (isNaN(percentile)) return "N/A"; if (percentile = 5 && percentile = 85 && percentile = 95) return "Obese"; return "N/A"; } function getComparisonText(percentile) { if (isNaN(percentile)) return "N/A"; if (percentile < 10) return "Weight is lower than most peers."; if (percentile < 25) return "Weight is lower than average."; if (percentile < 50) return "Weight is below average."; if (percentile === 50) return "Weight is average for her age and height."; if (percentile < 75) return "Weight is above average."; if (percentile < 90) return "Weight is higher than most peers."; if (percentile < 95) return "Weight is significantly higher than most peers."; return "Weight is very high compared to peers."; } function calculatePercentile() { var age = parseFloat(document.getElementById("age").value); var weight = parseFloat(document.getElementById("weight").value); var height = parseFloat(document.getElementById("height").value); // Clear previous errors document.getElementById("ageError").textContent = ""; document.getElementById("weightError").textContent = ""; document.getElementById("heightError").textContent = ""; var isValid = true; if (isNaN(age) || age 19) { document.getElementById("ageError").textContent = "This calculator is primarily for ages 0-19."; isValid = false; } if (isNaN(weight) || weight <= 0) { document.getElementById("weightError").textContent = "Please enter a valid weight."; isValid = false; } if (isNaN(height) || height 250) { // Arbitrary upper limit for human height document.getElementById("heightError").textContent = "Height seems too high. Please check."; isValid = false; } if (!isValid) { // Clear results if inputs are invalid document.getElementById("percentileResult").textContent = "-"; document.getElementById("bmiResult").textContent = "-"; document.getElementById("categoryResult").textContent = "-"; document.getElementById("comparisonResult").textContent = "-"; updateChart([], []); // Clear chart return; } var bmi = calculateBMI(weight, height); var bmiText = bmi ? bmi.toFixed(1) : "N/A"; document.getElementById("bmiResult").textContent = bmiText + " kg/m²"; var growthData = getGrowthData(age); var percentile = "N/A"; var comparisonText = "N/A"; if (growthData && bmi !== null) { // This is a simplified lookup. Real percentile calculation is more complex, often involving LMS parameters. // Here we find where the calculated BMI falls relative to the reference percentiles for the given age. var p5 = growthData.p5; var p50 = growthData.p50; var p85 = growthData.p85; var p95 = growthData.p95; if (bmi < p5) { percentile = Math.round((p5 – bmi) / p5 * 5); // Rough approximation below 5th } else if (bmi < p50) { percentile = Math.round(5 + ((p50 – bmi) / (p50 – p5)) * 45); // Rough approximation between 5th and 50th } else if (bmi < p85) { percentile = Math.round(50 + ((p85 – bmi) / (p85 – p50)) * 35); // Rough approximation between 50th and 85th } else if (bmi < p95) { percentile = Math.round(85 + ((p95 – bmi) / (p95 – p85)) * 10); // Rough approximation between 85th and 95th } else { percentile = Math.round(95 + ((bmi – p95) / p95) * 5); // Rough approximation above 95th } // Ensure percentile is within bounds 0-100 percentile = Math.max(0, Math.min(100, percentile)); comparisonText = getComparisonText(percentile); } else { // Handle cases where growth data is unavailable for the age document.getElementById("percentileResult").textContent = "N/A"; document.getElementById("categoryResult").textContent = "N/A"; document.getElementById("comparisonResult").textContent = "N/A"; updateChart([], []); // Clear chart if no data return; } var category = getCategory(percentile); document.getElementById("percentileResult").textContent = percentile + "th"; document.getElementById("categoryResult").textContent = category; document.getElementById("comparisonResult").textContent = comparisonText; // Update Chart Data updateChartData(age, percentile); } function updateChartData(currentAge, currentPercentile) { var chartAgeData = []; var chartPercentileData = []; var chartLowerBoundData = []; // For 5th percentile line var chartUpperBoundData = []; // For 85th percentile line var chartUpperObeseData = []; // For 95th percentile line for (var age = 2; age <= 19; age++) { var growthData = getGrowthData(age); if (growthData) { chartAgeData.push(age); chartPercentileData.push(currentPercentile); // Plot the user's calculated percentile chartLowerBoundData.push(5); // 5th percentile line chartUpperBoundData.push(85); // 85th percentile line chartUpperObeseData.push(95); // 95th percentile line } } updateChart(chartAgeData, chartPercentileData, chartLowerBoundData, chartUpperBoundData, chartUpperObeseData, currentAge); } function updateChart(ages, currentPercentiles, p5Data, p85Data, p95Data, currentAge) { var ctx = document.getElementById("percentileChart").getContext("2d"); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } if (ages.length === 0 || currentPercentiles.length === 0) { // No data to display, clear canvas or show message ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); ctx.font = "16px Arial"; ctx.fillStyle = "#777"; ctx.textAlign = "center"; ctx.fillText("Enter data to see chart.", ctx.canvas.width / 2, ctx.canvas.height / 2); return; } // Add a data point for the current age if it's not already in the range var allAges = […ages]; var allPercentiles = […currentPercentiles]; var allP5 = […p5Data]; var allP85 = […p85Data]; var allP95 = […p95Data]; // Find index for currentAge to insert or update var insertIndex = allAges.indexOf(currentAge); if (insertIndex === -1) { // If currentAge is outside the plotted range (e.g., 19), add it as a single point if (currentAge >= 2 && currentAge <= 19) { // If it falls within the range but wasn't included due to integer steps, handle it. // For simplicity here, we assume getGrowthData handles interpolation if needed for the calculation, // and the chart displays discrete age points. We ensure the current age is *represented* if needed. // However, the core `ages` array already comes from a loop 2-19, so it should contain it if valid. } else { // If age is out of standard range, maybe don't plot it on the lines? // Or adapt lines. For now, let's focus on 2-19. } } else { // Update the percentile at the current age if it exists allPercentiles[insertIndex] = currentPercentiles[insertIndex]; // Ensure it's the calculated one } chartInstance = new Chart(ctx, { type: 'line', data: { labels: allAges, datasets: [ { label: 'Your Percentile', data: allPercentiles, borderColor: 'rgba(40, 167, 69, 1)', // Success color backgroundColor: 'rgba(40, 167, 69, 0.2)', fill: false, tension: 0.1, pointRadius: 5, pointHoverRadius: 7, pointBackgroundColor: 'rgba(40, 167, 69, 1)' }, { label: '5th Percentile (Underweight Threshold)', data: allP5, borderColor: 'rgba(0, 74, 153, 0.6)', // Primary color, lighter borderDash: [5, 5], fill: false, tension: 0.1, pointRadius: 0 }, { label: '85th Percentile (Overweight Threshold)', data: allP85, borderColor: 'rgba(255, 193, 7, 0.8)', // Warning color-like borderDash: [5, 5], fill: false, tension: 0.1, pointRadius: 0 }, { label: '95th Percentile (Obese Threshold)', data: allP95, borderColor: 'rgba(220, 53, 69, 0.8)', // Danger color-like borderDash: [5, 5], fill: false, tension: 0.1, pointRadius: 0 } ] }, options: { responsive: true, maintainAspectRatio: false, scales: { x: { title: { display: true, text: 'Age (years)' }, min: 2, max: 19 }, y: { title: { display: true, text: 'Percentile (%)' }, min: 0, max: 100, ticks: { stepSize: 10 } } }, plugins: { tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { label += context.parsed.y.toFixed(1) + '%'; } return label; } } }, legend: { position: 'top', } } } }); } function resetCalculator() { document.getElementById("age").value = ""; document.getElementById("weight").value = ""; document.getElementById("height").value = ""; document.getElementById("ageError").textContent = ""; document.getElementById("weightError").textContent = ""; document.getElementById("heightError").textContent = ""; document.getElementById("percentileResult").textContent = "-"; document.getElementById("bmiResult").textContent = "-"; document.getElementById("categoryResult").textContent = "-"; document.getElementById("comparisonResult").textContent = "-"; if (chartInstance) { chartInstance.destroy(); chartInstance = null; } // Display initial message on canvas var ctx = document.getElementById("percentileChart").getContext("2d"); ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); ctx.font = "16px Arial"; ctx.fillStyle = "#777"; ctx.textAlign = "center"; ctx.fillText("Enter data to see chart.", ctx.canvas.width / 2, ctx.canvas.height / 2); } function copyResults() { var percentile = document.getElementById("percentileResult").textContent; var bmi = document.getElementById("bmiResult").textContent; var category = document.getElementById("categoryResult").textContent; var comparison = document.getElementById("comparisonResult").textContent; var ageInput = document.getElementById("age").value; var weightInput = document.getElementById("weight").value; var heightInput = document.getElementById("height").value; var resultsText = "Female Weight Percentile Results:\n\n" + "Inputs:\n" + "- Age: " + (ageInput || 'N/A') + " years\n" + "- Weight: " + (weightInput || 'N/A') + " kg\n" + "- Height: " + (heightInput || 'N/A') + " cm\n\n" + "Outputs:\n" + "- Weight Percentile: " + percentile + "\n" + "- BMI: " + bmi + "\n" + "- Category: " + category + "\n" + "- Comparison: " + comparison + "\n\n" + "Assumptions: Based on standard growth charts (e.g., CDC/WHO)."; // Use a temporary textarea to copy text to clipboard 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!' : 'Copy failed!'; // Optional: Show a temporary notification // alert(msg); } catch (err) { // alert('Copying text command was discouraged.'); } document.body.removeChild(textArea); } function toggleFaq(element) { var answer = element.nextElementSibling; if (answer.style.display === "block") { answer.style.display = "none"; } else { answer.style.display = "block"; } } // Initialize chart on load if needed, or wait for first calculation window.onload = function() { var ctx = document.getElementById("percentileChart").getContext("2d"); ctx.font = "16px Arial"; ctx.fillStyle = "#777"; ctx.textAlign = "center"; ctx.fillText("Enter data above to see the chart.", ctx.canvas.width / 2, ctx.canvas.height / 2); };

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