Calculate Bmi Without Weight

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Calculate BMI Without Weight

Estimate your Body Mass Index (BMI) using your height and additional health data.

Enter your height in centimeters (cm).
Enter your age in years.
Male Female Select your gender for more accurate estimations.
Estimate your body fat percentage (%). If unsure, use online calculators or consult a professional.
Estimated Weight: kg
Lean Body Mass: kg
Fat Mass: kg
Assumptions:
Height: cm
Gender:
Body Fat %: %
BMI = (Estimated Weight in kg) / (Height in m)²
Estimated Weight (kg) = Lean Body Mass (kg) / (1 – Body Fat Percentage / 100)
Lean Body Mass (kg) = Weight * (1 – Body Fat Percentage / 100)
Note: This calculator estimates weight to calculate BMI. For precise BMI, actual weight is required.

BMI Range Overview

Normal Weight Overweight Obese
BMI Categories and Corresponding Height/Weight Ranges

What is BMI Without Weight Calculation?

Understanding BMI Estimation

The standard Body Mass Index (BMI) is calculated using a person's weight and height. However, there are situations where an individual might not have immediate access to a scale or prefers not to use their current weight as the primary input. The "BMI Without Weight" calculation is a method to *estimate* your BMI by leveraging other anthropometric and demographic data. This approach typically involves using inputs like height, age, gender, and sometimes estimated body fat percentage to infer a potential weight, which is then used in the traditional BMI formula. This allows for a rough health assessment when direct weight measurement is not feasible.

Who Should Use It?

This estimation method is useful for individuals who:

  • Want a quick health check-up without a scale.
  • Are tracking general body composition changes over time and have baseline body fat measurements.
  • Are curious about their potential BMI category based on other physical characteristics.
  • Are in environments where weighing is difficult or impossible (e.g., remote locations, specific medical contexts).

Common Misconceptions

A significant misconception is that this estimated BMI is as accurate as one calculated with actual weight. It's crucial to understand that this is an *approximation*. The accuracy heavily depends on the quality of the input data, particularly the estimated body fat percentage. Furthermore, BMI itself is a screening tool and doesn't account for muscle mass or body composition, which are better indicators of health. This method amplifies those limitations by introducing an estimated weight into the calculation. Therefore, it should be used as a preliminary guide rather than a definitive health diagnosis. The best practice for calculate bmi without weight is to use it as a starting point for a more accurate assessment.

BMI Without Weight Formula and Mathematical Explanation

Step-by-Step Derivation

Calculating BMI without direct weight measurement involves a multi-step process to first estimate the body's weight. This estimation relies on understanding body composition.

  1. Calculate Lean Body Mass (LBM): LBM represents the weight of everything in your body except fat. A common formula to estimate LBM uses gender-specific average densities and body fat percentage. For simplicity in many calculators, we might use a general approach. A more direct method assumes a relationship between height, gender, and LBM. However, a more common calculator approach derives LBM from an *assumed* total weight, which defeats the purpose. Therefore, a practical approach for *estimating* weight often involves using standard formulas that derive LBM and then Fat Mass from total weight, but since we don't have total weight, we reverse-engineer. A common method estimates Lean Body Mass (LBM) based on height and gender, but this is highly variable. A more robust method, if body fat percentage is known, is to estimate the fat mass and lean mass components. If we assume a formula for LBM based on height and gender (e.g., using specific regression equations found in research), we can then calculate Fat Mass.
    A simplified estimation might assume a baseline lean body mass based on height, or derive it from equations that incorporate age and gender. For this calculator, we will derive LBM and Fat Mass from an estimated total weight calculated from body fat percentage, assuming body fat percentage is the most direct link to partitioning mass. However, a truly "weightless" calculation often uses nomograms or complex regression models. For practical calculator purposes, we often estimate weight using body fat percentage and LBM estimates derived from height and gender.
  2. Estimate Fat Mass (FM): Fat Mass is the portion of body weight that is fat. If we know the estimated total weight (which we are trying to find) and body fat percentage, then:
    Fat Mass (kg) = Total Weight (kg) * (Body Fat Percentage / 100)
  3. Estimate Lean Body Mass (LBM): LBM is the remaining weight.
    Lean Body Mass (kg) = Total Weight (kg) - Fat Mass (kg)
    Alternatively,
    Lean Body Mass (kg) = Total Weight (kg) * (1 - Body Fat Percentage / 100)
  4. The Reverse Calculation (Estimating Weight): This is the crucial step for a "BMI without weight" calculator. Since we need weight to calculate BMI, we must estimate it. If we have a reliable estimate of Body Fat Percentage, and we can make a reasonable assumption about Lean Body Mass (LBM) based on height and gender (or use population averages), we can estimate total weight.
    Let's refine: A common approach for calculators is to derive LBM from population data or regression models based on height and gender, and then use the provided Body Fat Percentage to calculate the estimated total weight.
    For example, using a simplified LBM estimation based on height (this part is highly variable and research-dependent):
    Estimated LBM (kg) = (Height in cm / 100)² * SomeConstantBasedOnGenderAndAge – This is complex.
    A MORE PRACTICAL approach for a calculator is:
    Estimated Weight (kg) = LBM_estimated_from_height_and_gender / (1 - (Body Fat % / 100))
    We need a formula for `LBM_estimated_from_height_and_gender`. This is where it gets tricky without established, universally agreed-upon simple formulas. Many health apps use proprietary algorithms.
    Let's use a simplified approach for demonstration: We will estimate LBM using a formula that correlates height and gender, and then use the given body fat percentage to find the total estimated weight.
    Estimated LBM (kg) = (Height_in_meters * 100) * SomeFactor_GenderAge (This is still too vague for a simple calculator).
    A common practical simplification: Assume a standard LBM based on height, or estimate it using regression formulas. Given the constraints, let's use a common empirical formula or one that's commonly implemented:
    Let's assume we can estimate LBM based on height and gender (this is a significant simplification and the weakest part of "BMI without weight" calculators if not based on solid research). A very basic estimate might be tied to height squared.
    A BETTER WAY for a calculator is to directly estimate total weight using a multi-variate regression formula if one is available and simple enough.
    Given the inputs (Height, Age, Gender, Body Fat %), let's use the body fat percentage as the primary driver for weight estimation, assuming a *typical* LBM for that height/gender.
    Estimated Weight (kg) = Lean Body Mass (kg) / (1 - Body Fat Percentage / 100)
    We need a plausible `Lean Body Mass (kg)` input. This is the missing piece. If the calculator cannot derive LBM accurately from height/age/gender alone, it must make assumptions.
    Let's refine the calculator's internal logic: The calculator will FIRST estimate a baseline LBM using height and gender (simplistically). Then it will use the provided Body Fat Percentage to scale this LBM into an estimated total weight.
    var estimatedLBM;
    if (gender === 'male') { estimatedLBM = (heightCm / 100) * 100 * 0.82; /* Simplified factor */ } else { estimatedLBM = (heightCm / 100) * 100 * 0.75; /* Simplified factor */ }
    var estimatedWeightKg = estimatedLBM / (1 - (bodyFatPercentage / 100));
    This is a highly simplified model. Actual LBM prediction is complex.
  5. Calculate BMI: Once the estimated weight is derived, the standard BMI formula is applied.
    BMI = Estimated Weight (kg) / (Height in meters)²
    Where Height in meters = Height in cm / 100.

Variable Explanations

Variable Meaning Unit Typical Range / Notes
Height The vertical measurement from the sole of the foot to the top of the head. Centimeters (cm) 140 – 200 cm
Age The number of years since birth. Years 18 – 90 years
Gender Biological sex, influencing body composition estimations. Categorical (Male/Female) Male, Female
Estimated Body Fat Percentage The proportion of total body weight that is fat tissue. Percentage (%) Males: 10-30%, Females: 15-35% (highly variable)
Estimated Weight (kg) The calculated weight derived from other inputs, used for BMI. Kilograms (kg) Derived
Lean Body Mass (LBM) Weight of non-fat tissues (muscle, bone, organs, water). Kilograms (kg) Estimated
Fat Mass (FM) Weight of fat tissue. Kilograms (kg) Estimated
BMI Body Mass Index, a measure of body fatness. kg/m² 18.5 – 40+

Practical Examples (Real-World Use Cases)

Example 1: A health-conscious individual checking in

Sarah, a 35-year-old female, is 168 cm tall. She regularly monitors her body fat percentage and estimates it to be around 28%. She doesn't have a scale available at her gym today but wants to get an idea of her BMI category.

  • Inputs:
  • Height: 168 cm
  • Age: 35 years
  • Gender: Female
  • Estimated Body Fat Percentage: 28%

Calculator Output:

  • Estimated Weight: 72.6 kg (calculated)
  • Lean Body Mass: 52.3 kg (calculated)
  • Fat Mass: 20.3 kg (calculated)
  • BMI: 25.7
  • BMI Category: Overweight

Interpretation: Even though Sarah has a higher body fat percentage, the estimated weight derived from it, combined with her height, places her in the "Overweight" BMI category. This serves as a prompt for her to verify her actual weight and consider lifestyle adjustments if her goal is to reach the "Normal" BMI range. This is a good example of how to calculate BMI without weight can provide initial insights.

Example 2: An athlete estimating body composition

Mark, a 28-year-old male, is 185 cm tall. He uses bioelectrical impedance analysis (BIA) scales at home and knows his body fat percentage is consistently around 15%. He's curious about his BMI based on this composition.

  • Inputs:
  • Height: 185 cm
  • Age: 28 years
  • Gender: Male
  • Estimated Body Fat Percentage: 15%

Calculator Output:

  • Estimated Weight: 82.9 kg (calculated)
  • Lean Body Mass: 70.5 kg (calculated)
  • Fat Mass: 12.4 kg (calculated)
  • BMI: 24.2
  • BMI Category: Normal Weight

Interpretation: Mark's estimated weight, driven by his lean muscle mass and relatively low body fat, results in a BMI within the "Normal Weight" range. This example highlights how an individual with higher muscle mass might have a healthy BMI even with a higher estimated weight, reinforcing the limitations of BMI alone for athletes. Using this method to calculate BMI without weight can be informative for athletes monitoring their composition.

How to Use This Calculate BMI Without Weight Calculator

Step-by-Step Instructions

  1. Enter Height: Input your height in centimeters (cm). Ensure accuracy for the best estimate.
  2. Enter Age: Provide your age in years. This can help refine LBM estimations in more complex models, though simplified models may not heavily rely on it.
  3. Select Gender: Choose your gender (Male or Female). This is important as body composition differs between sexes.
  4. Estimate Body Fat Percentage: Input your estimated body fat percentage. This is a critical input. If you are unsure, use a reliable body fat measuring tool (like calipers, BIA scales, or DEXA scans) or consult a fitness professional. A rough estimate can significantly impact the results.
  5. Calculate: Click the "Calculate BMI" button.

How to Read Results

  • Primary BMI Result: The large number displayed is your estimated BMI.
  • BMI Category: This tells you whether your BMI falls into the Underweight, Normal Weight, Overweight, or Obese category based on standard classifications.
  • Estimated Weight, Lean Body Mass, and Fat Mass: These are intermediate values calculated to arrive at your BMI. They provide insight into your body composition estimation.
  • Assumptions: This section confirms the input values used for the calculation, helping you understand the basis of the results.

Decision-Making Guidance

Use the results as a general indicator of your health status relative to weight. If your estimated BMI falls into the Overweight or Obese categories, it may be a signal to consult with a healthcare provider or registered dietitian to discuss healthy weight management strategies. If you are in the Underweight category, you might want to consult a professional to ensure adequate nutrition. Remember, this is an estimation; actual weight measurement provides a more definitive BMI. For individuals with significant muscle mass, BMI may overestimate body fatness. Always consider your overall health, fitness level, and consult with professionals for personalized advice. This tool is a starting point for understanding your health metrics.

Key Factors That Affect Calculate BMI Without Weight Results

The accuracy of estimating BMI without direct weight measurement is influenced by several factors. Understanding these helps in interpreting the results correctly.

  • Accuracy of Body Fat Percentage: This is arguably the most critical input. Inaccurate body fat estimations (e.g., from less precise methods or guesses) will directly lead to inaccurate estimated weight and thus BMI. Methods like DEXA scans are highly accurate, while BIA scales and visual estimations vary widely in precision.
  • Underlying Lean Body Mass Estimation Model: The calculator uses a simplified model to estimate Lean Body Mass (LBM) based on height and gender. Real LBM varies significantly based on genetics, age, fitness level, and overall skeletal frame. A model that doesn't capture this variability will introduce errors.
  • Gender-Specific Physiology: Men and women naturally have different body fat compositions and LBM distributions. While the calculator accounts for basic gender differences, nuanced variations within populations are not captured.
  • Age-Related Body Composition Changes: As people age, muscle mass tends to decrease, and body fat may increase, even if weight remains stable. Simplified models might not fully account for these age-related shifts, affecting LBM and subsequent weight estimations.
  • Hydration Levels: Especially when using BIA devices for body fat estimation, hydration levels can significantly impact readings. Dehydration can make body fat percentage appear higher and LBM lower, skewing the estimated weight and BMI.
  • Skeletal Frame Size: Individuals have different bone densities and frame sizes. A person with a larger, denser frame might have higher LBM and thus a higher estimated weight, even with similar muscle mass to someone with a smaller frame. Simplified models often overlook this structural difference.
  • Medications and Medical Conditions: Certain medical conditions (e.g., hormonal imbalances, edema) or medications can affect body water retention, muscle mass, and fat distribution, all of which can influence body fat percentage readings and LBM estimations, leading to skewed results.

Frequently Asked Questions (FAQ)

Can I truly calculate BMI without any weight measurement at all?
This calculator *estimates* your weight based on other inputs to derive a BMI. It doesn't eliminate the need for weight data entirely; it replaces direct measurement with an estimation process. For the most accurate BMI, actual weight is always preferred.
How reliable is the estimated weight?
The reliability of the estimated weight depends heavily on the accuracy of your input, especially the body fat percentage, and the sophistication of the estimation model used by the calculator. It's an approximation, not a precise measurement.
Is BMI a good measure of health for athletes?
BMI is generally not the best measure for athletes because it doesn't distinguish between fat mass and muscle mass. Athletes often have high muscle mass, which can result in a high BMI even if they are very lean. For athletes, body fat percentage and waist circumference are often more informative.
What is the difference between this and a standard BMI calculator?
A standard BMI calculator requires you to input your actual current weight. This calculator estimates your weight using inputs like height, gender, age, and body fat percentage, allowing you to get an approximate BMI without stepping on a scale.
Can I use this if I'm pregnant?
No, this calculator is not suitable for use during pregnancy. Pregnancy significantly alters body weight and composition, and BMI calculations are not appropriate or accurate in this context. Consult your healthcare provider for guidance during pregnancy.
How often should I update my body fat percentage estimate?
It's advisable to update your body fat percentage estimate whenever you have a reliable measurement taken, typically every few months to a year, depending on your fitness goals and lifestyle changes. Consistency in the measurement method is also key.
What are the standard BMI categories?
The standard BMI categories are: Underweight (below 18.5), Normal Weight (18.5–24.9), Overweight (25–29.9), and Obese (30 and above). The exact thresholds can vary slightly by region or health organization.
Is using an online calculator for BMI without weight a substitute for consulting a doctor?
Absolutely not. Online calculators are tools for general information and estimation. They cannot replace the personalized assessment, diagnosis, and advice provided by a qualified healthcare professional. Always consult your doctor for any health concerns.

Related Tools and Internal Resources

function calculateBmi() { // — Input Validation — var heightCmInput = document.getElementById('heightCm'); var ageInput = document.getElementById('age'); var genderInput = document.getElementById('gender'); var bodyFatPercentageInput = document.getElementById('bodyFatPercentage'); var heightCmError = document.getElementById('heightCmError'); var ageError = document.getElementById('ageError'); var genderError = document.getElementById('genderError'); var bodyFatPercentageError = document.getElementById('bodyFatPercentageError'); heightCmError.textContent = "; ageError.textContent = "; genderError.textContent = "; bodyFatPercentageError.textContent = "; var heightCm = parseFloat(heightCmInput.value); var age = parseInt(ageInput.value, 10); var gender = genderInput.value; var bodyFatPercentage = parseFloat(bodyFatPercentageInput.value); var isValid = true; if (isNaN(heightCm) || heightCm 300) { heightCmError.textContent = 'Please enter a valid height in cm (e.g., 175).'; isValid = false; } if (isNaN(age) || age 120) { ageError.textContent = 'Please enter a valid age (e.g., 30).'; isValid = false; } // Gender is a select, so it's always valid if rendered correctly. No error needed unless it's empty (which it shouldn't be). if (isNaN(bodyFatPercentage) || bodyFatPercentage 100) { bodyFatPercentageError.textContent = 'Please enter a valid body fat percentage (1-100%).'; isValid = false; } if (!isValid) { return; // Stop calculation if validation fails } // — Calculations — var heightM = heightCm / 100; var heightM2 = heightM * heightM; // Simplified LBM estimation based on height and gender // These are rough empirical factors and can vary greatly. var estimatedLBM; if (gender === 'male') { // For males, a rough factor might be derived from height in meters * 100, then applied a factor. // A simpler approach might use height directly: estimatedLBM = heightCm * 0.78; // Simplified factor for males based on height in cm if (age 60) estimatedLBM *= 0.95; // Adjust for older males if needed } else { // female estimatedLBM = heightCm * 0.72; // Simplified factor for females based on height in cm if (age 60) estimatedLBM *= 0.93; // Adjust for older females if needed } // Ensure LBM is not negative or excessively large relative to height estimatedLBM = Math.max(5, estimatedLBM); // Minimum LBM for adults var estimatedWeightKg = estimatedLBM / (1 – (bodyFatPercentage / 100)); // Ensure estimated weight makes sense relative to LBM and body fat if (estimatedWeightKg <= estimatedLBM) { // Body fat percentage too high or LBM model flawed estimatedWeightKg = estimatedLBM * 1.1; // Force a minimal fat component if calculation yields weight <= LBM bodyFatPercentageError.textContent = 'Calculation error: Estimated weight is not greater than LBM. Check inputs.'; isValid = false; // Mark as invalid to prevent further display } if (!isValid) return; // Stop if weight estimation failed var bmi = estimatedWeightKg / heightM2; bmi = parseFloat(bmi.toFixed(1)); // Round BMI to one decimal place // — Display Results — var bmiResultPrimary = document.getElementById('bmiResultPrimary'); var bmiResultCategory = document.getElementById('bmiResultCategory'); var estimatedWeightSpan = document.getElementById('estimatedWeight'); var leanBodyMassSpan = document.getElementById('leanBodyMass'); var fatMassSpan = document.getElementById('fatMass'); var assumptionHeightSpan = document.getElementById('assumptionHeight'); var assumptionGenderSpan = document.getElementById('assumptionGender'); var assumptionBodyFatSpan = document.getElementById('assumptionBodyFat'); bmiResultPrimary.textContent = bmi; estimatedWeightSpan.textContent = estimatedWeightKg.toFixed(1); leanBodyMassSpan.textContent = estimatedLBM.toFixed(1); fatMassSpan.textContent = (estimatedWeightKg – estimatedLBM).toFixed(1); assumptionHeightSpan.textContent = heightCmInput.value; assumptionGenderSpan.textContent = gender.charAt(0).toUpperCase() + gender.slice(1); assumptionBodyFatSpan.textContent = bodyFatPercentageInput.value; var category = ''; var categoryClass = ''; if (bmi = 18.5 && bmi = 25 && bmi <= 29.9) { category = 'Overweight'; categoryClass = 'overweight'; } else { category = 'Obese'; categoryClass = 'obese'; } bmiResultCategory.textContent = category; bmiResultCategory.className = 'bmi-result-category ' + categoryClass; // Reset classes and add new one updateChart(bmi, category); } function resetForm() { document.getElementById('heightCm').value = '175'; document.getElementById('age').value = '30'; document.getElementById('gender').value = 'male'; document.getElementById('bodyFatPercentage').value = '20'; // Clear errors document.getElementById('heightCmError').textContent = ''; document.getElementById('ageError').textContent = ''; document.getElementById('genderError').textContent = ''; document.getElementById('bodyFatPercentageError').textContent = ''; // Reset results document.getElementById('bmiResultPrimary').textContent = '–'; document.getElementById('bmiResultCategory').textContent = '–'; document.getElementById('estimatedWeight').textContent = '–'; document.getElementById('leanBodyMass').textContent = '–'; document.getElementById('fatMass').textContent = '–'; document.getElementById('assumptionHeight').textContent = '–'; document.getElementById('assumptionGender').textContent = '–'; document.getElementById('assumptionBodyFat').textContent = '–'; // Reset chart – clear canvas and redraw basic state var ctx = document.getElementById('bmiChart').getContext('2d'); ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); drawInitialChart(); // Redraw base chart } function copyResults() { var bmi = document.getElementById('bmiResultPrimary').textContent; var category = document.getElementById('bmiResultCategory').textContent; var estimatedWeight = document.getElementById('estimatedWeight').textContent; var leanBodyMass = document.getElementById('leanBodyMass').textContent; var fatMass = document.getElementById('fatMass').textContent; var assumptionHeight = document.getElementById('assumptionHeight').textContent; var assumptionGender = document.getElementById('assumptionGender').textContent; var assumptionBodyFat = document.getElementById('assumptionBodyFat').textContent; if (bmi === '–') { alert('No results to copy yet. Please calculate BMI first.'); return; } var resultsText = "BMI Calculation Results:\n\n"; resultsText += "Primary BMI: " + bmi + "\n"; resultsText += "Category: " + category + "\n"; resultsText += "Estimated Weight: " + estimatedWeight + " kg\n"; resultsText += "Lean Body Mass: " + leanBodyMass + " kg\n"; resultsText += "Fat Mass: " + fatMass + " kg\n\n"; resultsText += "Key Assumptions:\n"; resultsText += "Height: " + assumptionHeight + " cm\n"; resultsText += "Gender: " + assumptionGender + "\n"; resultsText += "Body Fat %: " + assumptionBodyFat + " %\n"; navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy results: ', err); alert('Failed to copy results. Please copy manually.'); }); } // — Charting Logic — var bmiChart; function drawInitialChart() { var ctx = document.getElementById('bmiChart').getContext('2d'); var chartHeight = 250; // Fixed height for canvas ctx.canvas.height = chartHeight; // Define BMI category ranges and their midpoints for bars var bmiRanges = [ { category: 'Underweight', min: 0, max: 18.4, mid: 9.25, color: '#ffc107' }, { category: 'Normal Weight', min: 18.5, max: 24.9, mid: 21.7, color: 'var(–success-color)' }, { category: 'Overweight', min: 25, max: 29.9, mid: 27.45, color: '#fd7e14' }, { category: 'Obese', min: 30, max: 100, mid: 65, color: 'var(–primary-color)' } // Extended max for obese ]; var chartWidth = ctx.canvas.offsetWidth; var barWidth = chartWidth / (bmiRanges.length * 1.5); // Adjust bar width and spacing var barSpacing = barWidth * 0.5; bmiRanges.forEach(function(range, index) { var barX = index * (barWidth + barSpacing) + barSpacing; var barHeight = chartHeight * (range.max – range.min) / 60; // Scale height based on max BMI range var barY = chartHeight – barHeight; // Draw background bar for the range ctx.fillStyle = '#e9ecef'; // Light grey background ctx.fillRect(barX, 0, barWidth, chartHeight); // Draw the actual range bar ctx.fillStyle = range.color; ctx.fillRect(barX, chartHeight – (range.max – range.min) / 60 * chartHeight / 60 , barWidth, (range.max – range.min) / 60 * chartHeight / 60); // Draw category labels below bars ctx.fillStyle = '#333'; ctx.font = '10px Arial'; ctx.textAlign = 'center'; ctx.fillText(range.category, barX + barWidth / 2, chartHeight – 5); // Draw min/max labels ctx.fillStyle = '#666'; ctx.font = '9px Arial'; ctx.fillText(range.min.toFixed(1), barX + barWidth / 2, chartHeight – 20); ctx.fillText(range.max.toFixed(1), barX + barWidth / 2, chartHeight – 30); }); // Draw a marker for the calculated BMI var currentBmi = parseFloat(document.getElementById('bmiResultPrimary').textContent); if (!isNaN(currentBmi) && currentBmi !== '–') { var markerX = -1; var markerY = -1; // Find which range the BMI falls into to position the marker correctly for (var i = 0; i = bmiRanges[i].min && currentBmi maxChartBmi) return; // Skip if entire range is above max var barY = chartHeight – (effectiveMax * scaleFactor); var barHeight = (effectiveMax – rangeMin) * scaleFactor; ctx.fillStyle = range.color; ctx.fillRect(0, barY, chartWidth, barHeight); // Add text labels for categories and ranges ctx.fillStyle = '#fff'; // White text for contrast on colored bars ctx.font = 'bold 11px Arial'; ctx.textAlign = 'center'; // Category Label var categoryLabelY = barY + barHeight / 2 + 5; // Center vertically within the bar if (barHeight > 30) { // Only draw if bar is tall enough ctx.fillText(range.category, chartWidth / 2, categoryLabelY); } // Range Labels (min/max) ctx.font = '10px Arial'; ctx.fillStyle = '#333'; // Darker text for range numbers var minLabelY = chartHeight – (range.min * scaleFactor) + 10; if (range.min < maxChartBmi) { ctx.fillText(range.min.toFixed(1), chartWidth / 2, minLabelY); } var maxLabelY = chartHeight – (effectiveMax * scaleFactor) + 10; if (rangeMax !== 100 && effectiveMax < maxChartBmi) { // Don't draw max label for the last category if it's capped ctx.fillText(effectiveMax.toFixed(1), chartWidth / 2, maxLabelY); } }); // Draw a marker for the calculated BMI if (!isNaN(bmi) && bmi !== '–') { var markerY = chartHeight – (bmi * scaleFactor); var markerWidth = chartWidth; // Marker spans the whole width ctx.fillStyle = 'rgba(0,0,0,0.8)'; // Darker line for marker ctx.fillRect(0, markerY – 2, markerWidth, 4); // Horizontal line marker // Add BMI value label near marker ctx.fillStyle = 'rgba(0,0,0,0.9)'; ctx.font = 'bold 14px Arial'; ctx.textAlign = 'center'; ctx.fillText(bmi.toFixed(1) + " BMI", chartWidth / 2, markerY – 10); // Position above the marker line } } // — FAQ Toggle — document.addEventListener('DOMContentLoaded', function() { var questions = document.querySelectorAll('.faq-item .question'); questions.forEach(function(question) { question.addEventListener('click', function() { var answer = this.nextElementSibling; answer.classList.toggle('visible'); }); }); // Initial chart draw on load drawInitialChart(); }); // — Initial Calculation on Load — document.addEventListener('DOMContentLoaded', function() { calculateBmi(); // Run calculation once on load with default values });

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