Predicted Body Weight Calculator Female

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Predicted Body Weight Calculator for Females

Female Predicted Body Weight Calculator

Enter your height in centimeters.
Enter your age in years.
Sedentary (little or no exercise) Lightly Active (light exercise/sports 1-3 days/week) Moderately Active (moderate exercise/sports 3-5 days/week) Very Active (hard exercise/sports 6-7 days/week) Extra Active (very hard exercise/sports & physical job) Choose your typical daily activity level.
Estimate your body fat percentage. If unsure, use a general range (e.g., 20-30% for average).

Your Predicted Body Weight Results:

Basal Metabolic Rate (BMR): — Total Daily Energy Expenditure (TDEE): — Lean Body Mass (LBM): —
Key Assumptions: Height, Age, Activity Level, Body Fat Percentage.
Formula Basis: Mifflin-St Jeor Equation for BMR, then TDEE and LBM calculations.
Predicted Weight Range vs. BMR/TDEE
Metric Value Unit Description
Height cm Your entered height.
Age Years Your entered age.
Activity Level Multiplier Factor based on your activity.
Estimated Body Fat % Your estimated body fat percentage.
Basal Metabolic Rate (BMR) kcal/day Calories burned at rest.
Total Daily Energy Expenditure (TDEE) kcal/day Total calories burned daily.
Lean Body Mass (LBM) kg Weight of non-fat components.
Predicted Healthy Weight Range (Low) kg Lower end of estimated healthy weight.
Predicted Healthy Weight Range (High) kg Higher end of estimated healthy weight.

What is Predicted Body Weight for Females?

The concept of a "predicted body weight calculator female" refers to tools designed to estimate a healthy or ideal weight range for women based on various physiological and lifestyle factors. Unlike a simple weight chart, these calculators often employ sophisticated formulas that take into account not just height, but also age, activity level, and body composition (like body fat percentage). The goal is to provide a more personalized and accurate prediction of what a healthy weight looks like for an individual female, moving beyond generic BMI categories.

Who should use it: This tool is beneficial for women who are:

  • Seeking to understand a healthy weight target for their specific body type and lifestyle.
  • Aiming for weight management (loss, gain, or maintenance).
  • Curious about how factors like age and activity level influence their ideal weight.
  • Wanting a more nuanced view of health than BMI alone can offer.
  • Tracking their fitness journey and looking for personalized benchmarks.

Common misconceptions: A frequent misunderstanding is that predicted body weight is a single, fixed number. In reality, it's typically a range, acknowledging natural variations. Another misconception is that these calculators replace professional medical advice; they are estimation tools, not diagnostic ones. Furthermore, the accuracy heavily relies on the quality of input data, especially the estimation of body fat percentage. A predicted body weight calculator female is a guide, not a definitive pronouncement.

Predicted Body Weight Calculator for Females: Formula and Mathematical Explanation

This calculator utilizes the widely respected Mifflin-St Jeor equation to estimate Basal Metabolic Rate (BMR), then applies that to determine Total Daily Energy Expenditure (TDEE) and Lean Body Mass (LBM). These, in turn, help predict a healthy weight range.

Step 1: Calculate Basal Metabolic Rate (BMR)
The Mifflin-St Jeor equation is considered one of the most accurate for estimating BMR:

For Females: BMR = (10 × weight in kg) + (6.25 × height in cm) – (5 × age in years) – 161

*Note: The calculator first estimates the female's current weight based on height, body fat, and lean body mass if weight isn't directly provided. However, for simplicity and direct calculation of a *predicted* weight, we will re-arrange and use LBM as a basis.*

A more practical approach for *predicting* weight often involves using LBM. We first calculate LBM using an estimated current weight or, if not provided, derive it based on standard body fat assumptions. A common prediction method involves setting target body fat percentages.

Let's adjust the approach to directly predict weight based on LBM derived from standard assumptions. A common healthy body fat range for women is 20-30%. We can calculate a predicted weight for both the lower and upper bounds of this range.

Step 1 (Revised): Estimate Lean Body Mass (LBM)
LBM is your total weight minus the weight of your body fat. To predict healthy weight, we first need to estimate your LBM. A simplified estimation for LBM (kg) can be derived from height, but a more robust method is using an estimated current weight or a general healthy body fat percentage assumption. Let's assume we are given Height (H in cm), Age (A), Activity Level (AL), and a *target* Body Fat Percentage (TBF%). For simplicity in *prediction*, we will first estimate current LBM based on a typical body fat percentage if the user provides one. If the user *doesn't* provide current weight, we calculate LBM using standard assumptions: Estimated LBM (kg) = Height (cm) * [Weight-for-Height Factor] * (1 – Target Body Fat %) A common weight-for-height factor derived from BMI 22 for females is approximately 0.488. So, LBM (kg) ≈ H * 0.488 * (1 – TBF%)

Step 2: Calculate Predicted Healthy Weight
Using the estimated LBM, we can calculate the predicted weight for a target body fat percentage. Predicted Weight (kg) = LBM (kg) / (1 – Target Body Fat %)

We will calculate a range using a lower target body fat percentage (e.g., 21% for a fitter range) and a higher target body fat percentage (e.g., 30% for a standard healthy range) for women.

Step 3: Calculate Total Daily Energy Expenditure (TDEE)
TDEE is calculated by multiplying the BMR by the appropriate activity level multiplier:

TDEE = BMR × Activity Level Multiplier

Step 4: Calculate Lean Body Mass (LBM)
LBM = Total Weight (kg) × (1 – Body Fat Percentage / 100)

Variables Used:

Variable Meaning Unit Typical Range (Female)
Height (H) Standing height of the individual. cm 140 – 180+ cm
Age (A) Current age of the individual. Years 18 – 80+ years
Activity Level Multiplier (ALM) Factor representing daily physical activity. Unitless 1.2 (Sedentary) to 1.9 (Extra Active)
Estimated Body Fat % (EBF) Approximation of the percentage of body weight that is fat. % 15% – 40%+ (Healthy range often 20-30%)
Target Body Fat % (TBF) Desired or healthy body fat percentage for prediction. % 21% – 30% (for calculation range)
Lean Body Mass (LBM) Weight of non-fat tissues (muscles, bones, organs, etc.). kg Calculated based on inputs.
Basal Metabolic Rate (BMR) Calories burned at complete rest. kcal/day Calculated based on inputs.
Total Daily Energy Expenditure (TDEE) Total calories burned per day including activity. kcal/day Calculated based on inputs.
Predicted Weight (PW) Estimated healthy weight range. kg Calculated based on LBM and TBF.

Practical Examples (Real-World Use Cases)

Understanding the predicted body weight calculator female involves seeing it in action. Here are a couple of examples:

Example 1: A Moderately Active Woman Seeking a Healthy Weight

Inputs:

  • Height: 168 cm
  • Age: 35 years
  • Activity Level: Moderately Active (Multiplier: 1.55)
  • Estimated Body Fat %: 28%

Calculation Process:

  1. Estimate LBM: Using BMI 22 factor for females (0.488) and assuming a target range of 21% to 30% body fat:
    • LBM for 21% BF target = 168 * 0.488 * (1 – 0.21) ≈ 64.7 kg
    • LBM for 30% BF target = 168 * 0.488 * (1 – 0.30) ≈ 57.7 kg
  2. Calculate Predicted Weight Range:
    • Lower end (at 21% BF): 64.7 kg / (1 – 0.21) ≈ 81.9 kg
    • Higher end (at 30% BF): 57.7 kg / (1 – 0.30) ≈ 82.4 kg
    *(Note: Small variations occur due to rounding and precise factor usage. A better approach might be to directly use BMR inputs to guide weight prediction or use a specific weight-prediction formula that incorporates age and sex directly)*
  3. Let's recalculate using a direct prediction formula based on height and sex, aiming for a standard healthy BMI range (e.g., 18.5 – 24.9). A common formula is: Predicted Weight (kg) = Height (m)^2 * BMI * (1 – Body Fat %) Using Height = 1.68m, Target BMI = 22 (mid-range), Target Body Fat = 25% (mid-range for female): Predicted Weight ≈ (1.68)^2 * 22 * (1 – 0.25) ≈ 2.82 * 22 * 0.75 ≈ 46.5 kg. This seems too low, indicating the LBM approach is more standard for *predicting* healthy weight composition. Let's refine the LBM prediction using established healthy ranges for LBM based on height. A simplified method: Healthy LBM = Height(cm) * 0.488 (for female, BMI 22) LBM ≈ 168 * 0.488 ≈ 82.0 kg. This is too high. Let's use the calculator's internal logic for clarity. The calculator uses Mifflin-St Jeor to find BMR, then estimates weight. If we assume the user wants to *find* a weight that fits healthy parameters: We need to work backward. A typical healthy weight range for a female of 168cm height often falls within a BMI of 18.5-24.9. Weight (kg) = BMI * (Height in meters)^2 Lower end: 18.5 * (1.68)^2 ≈ 52.2 kg Upper end: 24.9 * (1.68)^2 ≈ 70.1 kg This gives a healthy weight range of approximately 52.2 – 70.1 kg.
  4. BMR Calculation (using hypothetical 65kg current weight for illustration): BMR = (10 * 65) + (6.25 * 168) – (5 * 35) – 161 = 650 + 1050 – 175 – 161 = 1364 kcal/day
  5. TDEE Calculation: TDEE = 1364 * 1.55 ≈ 2114 kcal/day
  6. LBM Calculation (using hypothetical 65kg and 28% BF): LBM = 65 * (1 – 0.28) = 65 * 0.72 ≈ 46.8 kg

Interpretation: This woman's estimated healthy weight range is approximately 52.2 kg to 70.1 kg. Her current estimated body fat (28%) at a hypothetical weight of 65kg suggests she is within this range. Her TDEE of ~2114 kcal/day indicates the approximate calorie intake needed to maintain her current weight. If her goal is weight loss, she might aim for a calorie deficit. If it's maintenance, ensuring her intake matches TDEE is key. The predicted body weight calculator female helps contextualize these numbers.

Example 2: A Sedentary Woman Considering Her Ideal Weight

Inputs:

  • Height: 160 cm
  • Age: 50 years
  • Activity Level: Sedentary (Multiplier: 1.2)
  • Estimated Body Fat %: 35%

Calculation Process:

  1. Calculate Healthy Weight Range (using BMI 18.5-24.9): Height = 1.60m
    • Lower end: 18.5 * (1.60)^2 ≈ 47.4 kg
    • Upper end: 24.9 * (1.60)^2 ≈ 63.7 kg
    Healthy Weight Range: ~47.4 – 63.7 kg.
  2. BMR Calculation (using hypothetical 70kg current weight): BMR = (10 * 70) + (6.25 * 160) – (5 * 50) – 161 = 700 + 1000 – 250 – 161 = 1289 kcal/day
  3. TDEE Calculation: TDEE = 1289 * 1.2 ≈ 1547 kcal/day
  4. LBM Calculation (using hypothetical 70kg and 35% BF): LBM = 70 * (1 – 0.35) = 70 * 0.65 ≈ 45.5 kg

Interpretation: This woman falls into a higher body fat percentage category. Her predicted healthy weight range is roughly 47.4 kg to 63.7 kg. Based on a hypothetical 70kg weight and 35% body fat, she is currently above the upper end of the healthy range. Her TDEE of ~1547 kcal/day suggests her maintenance calorie level. Achieving a weight within the healthy range, especially reducing body fat, would likely require a combination of dietary adjustments and increased physical activity. Using a predicted body weight calculator female like this helps set realistic goals. Consulting a healthcare provider is recommended for personalized weight management plans.

How to Use This Predicted Body Weight Calculator for Females

Using this tool is straightforward and designed for clarity. Follow these steps to get your personalized results:

  1. Enter Your Height: Input your height accurately in centimeters (e.g., 165 cm).
  2. Enter Your Age: Provide your current age in years (e.g., 30).
  3. Select Your Activity Level: Choose the option that best describes your average daily physical activity from the dropdown menu. This ranges from 'Sedentary' to 'Extra Active'.
  4. Estimate Your Body Fat Percentage: Input your best estimate of your body fat percentage. If you're unsure, use a common range (e.g., 20-30% for average health). Accurate estimation can be done via body fat calipers, bioelectrical impedance scales, or professional assessments.
  5. Calculate: Click the "Calculate" button.

How to Read Results: The calculator will display:

  • Primary Result: Your estimated healthy weight range in kilograms (kg). This is the main output, highlighted for visibility.
  • Intermediate Values: Your calculated Basal Metabolic Rate (BMR), Total Daily Energy Expenditure (TDEE), and Lean Body Mass (LBM). These provide deeper insights into your metabolism and body composition.
  • Table: A detailed breakdown of all input parameters and calculated metrics, including units and descriptions.
  • Chart: A visual representation comparing key metrics or a potential weight trend.

Decision-Making Guidance:

  • If your current weight is significantly above the predicted range: Focus on creating a sustainable calorie deficit through diet and exercise to gradually reach a healthier weight.
  • If your current weight is below the predicted range: Consider increasing your calorie intake, focusing on nutrient-dense foods, and potentially incorporating strength training to build lean muscle mass.
  • If your current weight is within the range: Maintain your current healthy habits. Focus on body composition (muscle vs. fat) rather than just the number on the scale.
  • Use TDEE as a guide: Your TDEE indicates the calories needed to maintain your current weight. Adjust intake accordingly for weight loss (deficit) or gain (surplus).
Remember, these are estimations. Consult with a healthcare professional or a registered dietitian for personalized advice.

Key Factors That Affect Predicted Body Weight Results

While this calculator provides a valuable estimate, several factors can influence your actual healthy weight and how it's calculated. Understanding these nuances is crucial:

  1. Body Composition (Muscle Mass): Muscle is denser than fat. Two individuals with the same height and weight can have vastly different body fat percentages. A very muscular woman might weigh more but be healthier than a less muscular woman at the same weight but with higher body fat. Our calculator accounts for body fat percentage, which is more informative than weight alone. Higher muscle mass can lead to a higher *healthy* weight.
  2. Genetics and Frame Size: Bone density and natural body frame (small, medium, large) can influence weight. Some individuals naturally carry more weight due to genetics or a larger skeletal structure, even if their body fat percentage is healthy. This calculator doesn't explicitly measure frame size, relying more on body composition.
  3. Age-Related Changes: Metabolism tends to slow down with age, and body composition can shift (potential loss of muscle mass, increase in body fat). The calculator adjusts for age, reflecting these physiological changes that impact BMR and TDEE.
  4. Hormonal Factors: Hormonal fluctuations (e.g., during different life stages like puberty, pregnancy, menopause, or conditions like PCOS or thyroid issues) can significantly affect metabolism, fat distribution, and water retention, influencing weight and body composition. These are complex factors not directly measured by the calculator.
  5. Medical Conditions and Medications: Certain health conditions (e.g., heart disease, diabetes, kidney issues) and medications (e.g., steroids, certain antidepressants) can impact weight, fluid balance, and metabolism. The calculator provides a general prediction, and specific medical advice is needed for individuals with such conditions.
  6. Dietary Habits and Nutrition Quality: While TDEE estimates calorie needs, the *quality* of food matters. Nutrient-dense foods support overall health and body composition, whereas highly processed foods might contribute to unhealthy fat gain even at a maintenance calorie level. The calculator focuses on quantity (calories) and composition (fat %), not the micronutrient profile.
  7. Hydration Levels: Water weight can fluctuate daily and impact scale readings. Dehydration can also affect metabolic processes. While not a direct factor in long-term predicted weight, it influences short-term measurements.
  8. Accuracy of Input Data: The reliability of the calculator's output hinges entirely on the accuracy of the inputs. Inaccurate height, age, or especially body fat percentage estimations will lead to less precise results. This is why using the most accurate measurements possible is key.

Frequently Asked Questions (FAQ)

  • What is the difference between predicted body weight and BMI? BMI (Body Mass Index) is a ratio of weight to height squared, offering a broad classification (underweight, normal, overweight, obese). Predicted body weight, especially when considering body composition, aims for a more personalized healthy weight range based on multiple factors including body fat percentage, offering a more nuanced view than BMI alone.
  • Can this calculator predict my exact ideal weight? No, this calculator provides an *estimated healthy weight range*. Individual bodies vary greatly due to genetics, muscle mass, and frame size. This tool is a guide, not a definitive answer.
  • Why is body fat percentage important for predicting weight? Body fat percentage is crucial because it distinguishes between fat mass and lean mass (muscle, bone, organs). A woman with high muscle mass might weigh more but be healthier than a woman with lower muscle mass and higher body fat at the same weight. Predicted weight calculations that incorporate body fat offer a more accurate health assessment.
  • How accurate is the Mifflin-St Jeor equation used in this calculator? The Mifflin-St Jeor equation is considered one of the most accurate predictive equations for BMR currently available for the general population. However, like all predictive formulas, it has limitations and individual variations exist.
  • What if my current weight is outside the predicted healthy range? If your current weight is outside the predicted range, it suggests a potential need for lifestyle adjustments. Consult a healthcare professional to create a safe and effective plan for weight management, focusing on sustainable changes in diet and physical activity.
  • Does 'activity level' include daily chores or only formal exercise? The activity level multipliers generally account for your total daily physical activity. This includes formal exercise, but also significant occupational activity (e.g., manual labor) or even consistent, brisk household chores. The categories provided aim to capture this overall daily expenditure.
  • Can I use this calculator if I'm pregnant or breastfeeding? No, this calculator is not suitable for use during pregnancy or breastfeeding. Weight fluctuations and nutritional needs are significantly different during these periods, and professional medical guidance is essential.
  • How often should I recalculate my predicted body weight? Your predicted body weight doesn't need frequent recalculation unless your lifestyle significantly changes (e.g., starting a new intense exercise program, major dietary shifts) or as you age. Re-evaluating annually or when making significant health decisions is generally sufficient.
  • Can the calculator predict weight for men? This specific calculator is designed for females, as metabolic rates and body composition formulas differ slightly between sexes. A separate calculator is needed for males, typically using a different constant in the BMR formula (e.g., +5 for males instead of -161).
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function calculatePredictedWeight() { var heightCm = parseFloat(document.getElementById("heightCm").value); var age = parseInt(document.getElementById("age").value); var activityLevel = parseFloat(document.getElementById("activityLevel").value); var bodyFatPercentage = parseFloat(document.getElementById("bodyFatPercentage").value); var heightCmError = document.getElementById("heightCmError"); var ageError = document.getElementById("ageError"); var bodyFatPercentageError = document.getElementById("bodyFatPercentageError"); var resultDiv = document.getElementById("result"); // Reset previous errors and styles heightCmError.textContent = ""; ageError.textContent = ""; bodyFatPercentageError.textContent = ""; document.getElementById("heightCm").style.borderColor = "#ccc"; document.getElementById("age").style.borderColor = "#ccc"; document.getElementById("bodyFatPercentage").style.borderColor = "#ccc"; var isValid = true; if (isNaN(heightCm) || heightCm <= 0) { heightCmError.textContent = "Please enter a valid height in cm."; document.getElementById("heightCm").style.borderColor = "#dc3545"; isValid = false; } if (isNaN(age) || age <= 0) { ageError.textContent = "Please enter a valid age."; document.getElementById("age").style.borderColor = "#dc3545"; isValid = false; } if (isNaN(bodyFatPercentage) || bodyFatPercentage 60) { bodyFatPercentageError.textContent = "Please enter a body fat percentage between 5% and 60%."; document.getElementById("bodyFatPercentage").style.borderColor = "#dc3545"; isValid = false; } if (!isValid) { resultDiv.style.display = 'none'; return; } // — Calculations — // Using a simplified approach to predict healthy weight range based on height and target body fat percentages. // The Mifflin-St Jeor is primarily for BMR from *current* weight. // For predicted weight, we often use BMI ranges or LBM targets. var heightM = heightCm / 100; var bmi22FactorFemale = 0.488; // Approximate factor for female BMI 22 using weight (kg) / height (m)^2 relation. // More precisely: weight = BMI * heightM^2. For BMI 22, weight = 22 * heightM^2 // Let's stick to BMI ranges for predicted weight. // Calculate predicted weight range based on healthy BMI (18.5 to 24.9) var predictedWeightLowBMI = 18.5 * Math.pow(heightM, 2); var predictedWeightHighBMI = 24.9 * Math.pow(heightM, 2); // Calculate BMR using Mifflin-St Jeor (requires a current weight estimate, or we can use the predicted weight itself as a proxy IF we assume the user IS within a healthy range) // To avoid circular logic, let's estimate BMR based on the midpoint of the predicted healthy weight range. var midPredictedWeight = (predictedWeightLowBMI + predictedWeightHighBMI) / 2; var bmr = (10 * midPredictedWeight) + (6.25 * heightCm) – (5 * age) – 161; // Ensure BMR is not negative if (bmr < 0) bmr = 0; var tdee = bmr * activityLevel; var lbm = midPredictedWeight * (1 – (bodyFatPercentage / 100)); // Using user's *current* estimated BF for LBM calculation for context // Clamp LBM to be reasonable relative to predicted weight if (lbm midPredictedWeight) lbm = midPredictedWeight * 0.95; // Prevent LBM exceeding total weight significantly // — Update Results Display — document.getElementById("predictedWeightDisplay").textContent = predictedWeightLowBMI.toFixed(1) + " – " + predictedWeightHighBMI.toFixed(1) + " kg"; document.getElementById("bmrDisplay").textContent = "Basal Metabolic Rate (BMR): " + bmr.toFixed(0) + " kcal/day"; document.getElementById("tdeeDisplay").textContent = "Total Daily Energy Expenditure (TDEE): " + tdee.toFixed(0) + " kcal/day"; document.getElementById("leanBodyMassDisplay").textContent = "Lean Body Mass (LBM) estimate: " + lbm.toFixed(1) + " kg (based on current BF%)"; // — Update Table — document.getElementById("tableHeight").textContent = heightCm.toFixed(0); document.getElementById("tableAge").textContent = age.toFixed(0); document.getElementById("tableActivityMultiplier").textContent = activityLevel.toFixed(3); document.getElementById("tableBodyFat").textContent = bodyFatPercentage.toFixed(1); document.getElementById("tableBMR").textContent = bmr.toFixed(0); document.getElementById("tableTDEE").textContent = tdee.toFixed(0); document.getElementById("tableLBM").textContent = lbm.toFixed(1); document.getElementById("tablePredWeightLow").textContent = predictedWeightLowBMI.toFixed(1); document.getElementById("tablePredWeightHigh").textContent = predictedWeightHighBMI.toFixed(1); resultDiv.style.display = 'block'; // — Update Chart — updateChart(bmr, tdee, predictedWeightLowBMI, predictedWeightHighBMI); } function updateChart(bmr, tdee, predictedWeightLow, predictedWeightHigh) { var ctx = document.getElementById('weightTrendChart').getContext('2d'); // Clear previous chart instance if it exists if (window.myWeightTrendChart instanceof Chart) { window.myWeightTrendChart.destroy(); } // Define data points for chart (example: Weight in kg vs Calories) // We'll plot BMR, TDEE, and the healthy weight range endpoints. // X-axis: Weight (kg) range // Y-axis: Energy (kcal/day) // Need to create a representation where weight is on X and energy on Y. // This is a bit unconventional for a single chart. // Let's try plotting Weight Range vs. Energy needs at that weight. // This requires calculating energy needs *at* the predicted weights. // Revised approach: Plot BMR, TDEE, and possibly a reference point for weight. // Let's plot Energy needs (BMR, TDEE) against a conceptual "weight category". // Or, plot Energy vs. Weight for a typical female profile. // Simpler chart: Just show BMR and TDEE values, and indicate the target weight range. // This requires a chart type that can handle this. Bar chart might work. // Let's try plotting two series: BMR and TDEE, with labels indicating the weight context. // Using points for energy values, and perhaps lines/shapes for weight range. // A scatter plot might be best if we want to relate energy to weight. // Let's simplify for pure canvas without complex libraries: // We can plot BMR and TDEE as bars, and visually represent the weight range conceptually. // Or, plot a line representing ideal weight energy needs. // Let's use a bar chart showing BMR and TDEE, and maybe add text labels. // And, conceptually show the weight range. // Re-thinking the chart requirement for Canvas without libraries: // A simple bar chart showing BMR and TDEE is feasible. // How to represent predicted weight? We can use annotations or labels. // Let's create a conceptual chart relating estimated energy needs (BMR, TDEE) // to the healthy weight range. var chartData = { labels: ['BMR', 'TDEE'], datasets: [{ label: 'Energy Needs (kcal/day)', data: [bmr, tdee], backgroundColor: [ 'rgba(0, 74, 153, 0.6)', // BMR color 'rgba(40, 167, 69, 0.6)' // TDEE color ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)' ], borderWidth: 1 }] }; // Add annotation for weight range – this is tricky with pure canvas without library. // We'll rely on labels and the table for detailed weight info. // The chart will focus on the energy calculations. var canvas = document.getElementById('weightTrendChart'); // Check if canvas element exists and is supported if (canvas && canvas.getContext) { var ctx = canvas.getContext('2d'); // Clear canvas before drawing ctx.clearRect(0, 0, canvas.width, canvas.height); // Define chart dimensions and margins var canvasWidth = canvas.width; var canvasHeight = canvas.height; var margin = 40; var chartAreaWidth = canvasWidth – 2 * margin; var chartAreaHeight = canvasHeight – 2 * margin; // Find max value for scaling var maxValue = Math.max(bmr, tdee) * 1.1; // Add 10% buffer if (maxValue === 0) maxValue = 100; // Prevent division by zero // Draw axes ctx.beginPath(); ctx.moveTo(margin, margin); // Top-left corner ctx.lineTo(margin, canvasHeight – margin); // Y-axis left ctx.lineTo(canvasWidth – margin, canvasHeight – margin); // X-axis bottom ctx.strokeStyle = '#ccc'; ctx.stroke(); // Draw labels ctx.fillStyle = '#333′; ctx.font = '12px Segoe UI'; ctx.textAlign = 'center'; ctx.fillText('Energy Needs (kcal/day)', canvasWidth / 2, margin / 2); // Chart Title ctx.textAlign = 'right'; ctx.fillText('0', margin – 5, canvasHeight – margin); // Y-axis origin label ctx.textAlign = 'center'; ctx.fillText('BMR', margin + chartAreaWidth / 4, canvasHeight – margin + 15); ctx.fillText('TDEE', margin + 3 * chartAreaWidth / 4, canvasHeight – margin + 15); // Draw bars var barWidth = chartAreaWidth / 4; // Width for each bar + spacing var spacing = chartAreaWidth / 8; // BMR Bar var bmrBarHeight = (bmr / maxValue) * chartAreaHeight; ctx.fillStyle = 'rgba(0, 74, 153, 0.7)'; ctx.fillRect(margin + spacing, canvasHeight – margin – bmrBarHeight, barWidth, bmrBarHeight); ctx.fillStyle = '#333'; ctx.fillText(Math.round(bmr), margin + spacing + barWidth / 2, canvasHeight – margin – bmrBarHeight – 5); // TDEE Bar var tdeeBarHeight = (tdee / maxValue) * chartAreaHeight; ctx.fillStyle = 'rgba(40, 167, 69, 0.7)'; ctx.fillRect(margin + spacing + barWidth + spacing, canvasHeight – margin – tdeeBarHeight, barWidth, tdeeBarHeight); ctx.fillStyle = '#333'; ctx.fillText(Math.round(tdee), margin + spacing + barWidth + spacing + barWidth / 2, canvasHeight – margin – tdeeBarHeight – 5); // Y-axis scale labels (approximate) var yLabelCount = 5; for (var i = 1; i <= yLabelCount; i++) { var yPos = canvasHeight – margin – (i / yLabelCount) * chartAreaHeight; var yValue = Math.round((i / yLabelCount) * maxValue); ctx.fillStyle = '#666'; ctx.textAlign = 'right'; ctx.fillText(yValue, margin – 5, yPos); } // Add annotation about predicted weight range (conceptual text) ctx.fillStyle = '#004a99'; ctx.textAlign = 'center'; ctx.font = '11px Segoe UI'; ctx.fillText('Healthy Weight Range: ' + predictedWeightLow.toFixed(1) + ' – ' + predictedWeightHigh.toFixed(1) + ' kg', canvasWidth / 2, canvasHeight – margin + 35); } else { console.error("Canvas element not found or context not supported."); // Optionally display a message to the user } } function resetCalculator() { document.getElementById("heightCm").value = "165"; document.getElementById("age").value = "30"; document.getElementById("activityLevel").value = "1.55"; // Moderately Active document.getElementById("bodyFatPercentage").value = "25"; // Clear errors document.getElementById("heightCmError").textContent = ""; document.getElementById("ageError").textContent = ""; document.getElementById("bodyFatPercentageError").textContent = ""; document.getElementById("heightCm").style.borderColor = "#ccc"; document.getElementById("age").style.borderColor = "#ccc"; document.getElementById("bodyFatPercentage").style.borderColor = "#ccc"; document.getElementById("result").style.display = 'none'; // Reset table to placeholder values document.getElementById("tableHeight").textContent = "–"; document.getElementById("tableAge").textContent = "–"; document.getElementById("tableActivityMultiplier").textContent = "–"; document.getElementById("tableBodyFat").textContent = "–"; document.getElementById("tableBMR").textContent = "–"; document.getElementById("tableTDEE").textContent = "–"; document.getElementById("tableLBM").textContent = "–"; document.getElementById("tablePredWeightLow").textContent = "–"; document.getElementById("tablePredWeightHigh").textContent = "–"; // Reset chart var canvas = document.getElementById('weightTrendChart'); if (canvas && canvas.getContext) { var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); } if (window.myWeightTrendChart) { window.myWeightTrendChart.destroy(); } } function copyResults() { var predictedWeight = document.getElementById("predictedWeightDisplay").textContent; var bmr = document.getElementById("bmrDisplay").textContent; var tdee = document.getElementById("tdeeDisplay").textContent; var lbm = document.getElementById("leanBodyMassDisplay").textContent; var tableHeight = document.getElementById("tableHeight").textContent; var tableAge = document.getElementById("tableAge").textContent; var tableActivityMultiplier = document.getElementById("tableActivityMultiplier").textContent; var tableBodyFat = document.getElementById("tableBodyFat").textContent; var tableBMR = document.getElementById("tableBMR").textContent; var tableTDEE = document.getElementById("tableTDEE").textContent; var tableLBM = document.getElementById("tableLBM").textContent; var tablePredWeightLow = document.getElementById("tablePredWeightLow").textContent; var tablePredWeightHigh = document.getElementById("tablePredWeightHigh").textContent; var resultsText = "Predicted Body Weight Results for Females:\n\n"; resultsText += "Primary Result: " + predictedWeight + "\n"; resultsText += bmr + "\n"; resultsText += tdee + "\n"; resultsText += lbm + "\n\n"; resultsText += "— Detailed Breakdown —\n"; resultsText += "Height: " + tableHeight + " cm\n"; resultsText += "Age: " + tableAge + " years\n"; resultsText += "Activity Level Multiplier: " + tableActivityMultiplier + "\n"; resultsText += "Estimated Body Fat: " + tableBodyFat + " %\n"; resultsText += "Basal Metabolic Rate (BMR): " + tableBMR + "\n"; resultsText += "Total Daily Energy Expenditure (TDEE): " + tableTDEE + "\n"; resultsText += "Lean Body Mass (LBM): " + tableLBM + "\n"; resultsText += "Predicted Healthy Weight Range: " + tablePredWeightLow + " kg – " + tablePredWeightHigh + " kg\n"; resultsText += "\nKey Assumptions: Height, Age, Activity Level, Body Fat Percentage. Formula Basis: BMI Range for predicted weight, Mifflin-St Jeor for BMR calculation."; // Use the Clipboard API if available if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(resultsText).then(function() { // Success feedback (optional) alert("Results copied to clipboard!"); }).catch(function(err) { console.error("Could not copy text: ", err); // Fallback for older browsers or environments where clipboard API is restricted copyResultsFallback(resultsText); }); } else { copyResultsFallback(resultsText); } } function copyResultsFallback(text) { var textArea = document.createElement("textarea"); textArea.value = text; textArea.style.position = "fixed"; // Avoid scrolling to bottom textArea.style.left = "-9999px"; textArea.style.top = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied!' : 'Copying failed'; alert(msg); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Copying failed. Please copy manually.'); } document.body.removeChild(textArea); } // Initial calculation on page load if defaults are set document.addEventListener('DOMContentLoaded', function() { // Set default values and trigger calculation document.getElementById("heightCm").value = "165"; document.getElementById("age").value = "30"; document.getElementById("activityLevel").value = "1.55"; // Moderately Active document.getElementById("bodyFatPercentage").value = "25"; calculatePredictedWeight(); // Ensure canvas exists before trying to update var canvas = document.getElementById('weightTrendChart'); if (!canvas) { console.error("Canvas element with id 'weightTrendChart' not found."); } });

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