Walking with Weighted Backpack Calories Calculator

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Weighted Backpack Walking Calories Burned Calculator

Estimate your calorie expenditure by adding weight to your backpack while walking.

Calculate Your Burn

Enter your weight in kilograms (kg).
Enter the weight of your loaded backpack in kilograms (kg).
Enter the distance walked in kilometers (km).
Casual (4.8 km/h) Moderate (5.6 km/h) Brisk (6.4 km/h) Select your average walking speed.

Your Calorie Burn Estimate

— kcal
Basal Metabolic Rate (BMR): — kcal/day
Metabolic Equivalent of Task (METs):
Calories Burned (Activity): — kcal
How it works: This calculator estimates calories burned using a modified METs (Metabolic Equivalents) approach. First, your Basal Metabolic Rate (BMR) is estimated using the Mifflin-St Jeor equation. Then, we adjust the MET value for walking based on your speed and the added load of the backpack. The total calories burned during your walk are calculated by multiplying your BMR, the adjusted MET value, and the duration of your walk (in hours). The formula is approximately: Calories Burned = (BMR / 24) * Adjusted_METs * Duration_in_hours
Calorie Burn Breakdown by Backpack Weight
Backpack Weight (kg) Estimated Calories Burned (kcal) METs (Adjusted)
0 kg — kcal
5 kg — kcal
10 kg — kcal
15 kg — kcal
20 kg — kcal

What is Weighted Backpack Walking Calorie Calculation?

Weighted backpack walking calorie calculation refers to the process of estimating the number of calories an individual burns while walking with added weight in a backpack. This method is valuable for hikers, military personnel, fitness enthusiasts, and anyone looking to increase the intensity and caloric expenditure of their walking routine. By understanding the factors that influence calorie burn, individuals can better tailor their training for weight management, endurance improvement, and overall fitness. The core idea is that carrying extra weight forces your body to work harder, thus consuming more energy (calories) per unit of time or distance compared to walking without a load. Accurately calculating these calories helps in tracking progress, adjusting dietary intake, and setting realistic fitness goals. This is a key aspect of many physical training and conditioning programs.

Who should use it? Anyone incorporating weighted walks into their fitness regimen can benefit. This includes:

  • Hikers and Backpackers: To prepare for carrying loads on trails.
  • Military and First Responders: For training under simulated operational conditions.
  • Weight Management Seekers: To maximize calorie burn during moderate-intensity exercise.
  • Endurance Athletes: To build strength and cardiovascular capacity.
  • Fitness Enthusiasts: Looking for ways to progressively overload their workouts.

Common misconceptions about weighted backpack walking include assuming that any added weight provides a significant calorie boost without regard to the user's body weight, the backpack's weight relative to their own, or the intensity of the walk. Many also underestimate the importance of proper load distribution and its impact on efficiency and injury risk. Furthermore, some believe that calorie burn increases linearly with weight, which isn't always true due to biomechanical changes and potential reductions in speed or efficiency. Understanding the nuance of weighted backpack walking calorie calculation helps optimize training.

Weighted Backpack Walking Calories Burned Formula and Mathematical Explanation

Calculating the calories burned during weighted backpack walking involves several steps, often building upon standard energy expenditure formulas. A common approach integrates the user's Basal Metabolic Rate (BMR), the Metabolic Equivalents (METs) of the activity, and the duration of the activity, with adjustments for the added weight.

Step 1: Estimate Basal Metabolic Rate (BMR) BMR is the number of calories your body burns at rest to maintain basic functions. The Mifflin-St Jeor equation is widely used: For men: BMR = (10 * weight in kg) + (6.25 * height in cm) – (5 * age in years) + 5 For women: BMR = (10 * weight in kg) + (6.25 * height in cm) – (5 * age in years) – 161 *Note: For simplicity in this calculator, we approximate BMR based on weight, assuming an average height and age, or use a general formula where weight is the primary driver.* A simplified BMR estimate often used for calorie calculations is: BMR ≈ (Weight in kg * 22) kcal/day.

Step 2: Determine Metabolic Equivalents (METs) METs represent the ratio of a person's working metabolic rate relative to their resting metabolic rate. Walking METs vary by speed:

  • Casual walking (3 mph / 4.8 km/h): ~3.0 METs
  • Moderate walking (3.5 mph / 5.6 km/h): ~3.5 METs
  • Brisk walking (4 mph / 6.4 km/h): ~5.0 METs

Step 3: Adjust METs for Backpack Weight Carrying weight significantly increases the energy cost. A common multiplier or addition to METs can be used. A simplified model might add a percentage based on the ratio of backpack weight to body weight. For instance, a rough adjustment could be: Adjusted METs = Base METs * (1 + (Backpack Weight / Body Weight) * 0.1) Where 0.1 is an approximate factor; this can vary greatly. This calculator uses an internal adjustment logic based on empirical data and common fitness guidelines.

Step 4: Calculate Calories Burned During Activity The standard formula for calories burned during an activity is: Calories Burned = METs * Body Weight (kg) * Duration (hours) However, a more refined approach uses the BMR as a baseline: Calories Burned per Hour ≈ (BMR / 24) * Adjusted_METs And for the specific duration: Total Calories Burned = Calories Burned per Hour * Duration (hours) Or, combining: Total Calories Burned ≈ (BMR / 24) * Adjusted_METs * Duration (hours) Where Duration = Distance / Speed.

Variable Explanations:

Variables Used in Calculation
Variable Meaning Unit Typical Range
Body Weight The individual's total body mass. kg 40 – 150 kg
Backpack Weight The mass of the loaded backpack. kg 0 – 30 kg
Distance The length covered during the walk. km 1 – 20 km
Speed The average pace of walking. km/h 3 – 7 km/h
BMR Basal Metabolic Rate, energy expenditure at rest. kcal/day 1200 – 2500 kcal/day
METs Metabolic Equivalent of Task, activity intensity multiplier. Unitless 1.0 (Rest) – 8.0+ (Vigorous)
Adjusted METs METs adjusted for added backpack load. Unitless 3.0 – 10.0+
Duration Time spent walking. hours 0.5 – 5 hours

Practical Examples (Real-World Use Cases)

Understanding how different factors influence calorie burn is crucial. Here are a couple of examples:

Example 1: Preparing for a Day Hike

Sarah is training for a day hike. She weighs 60 kg and plans to walk 10 km at a moderate pace (5.6 km/h) while carrying a backpack weighing 12 kg.

Inputs:

  • Body Weight: 60 kg
  • Backpack Weight: 12 kg
  • Distance: 10 km
  • Speed: 5.6 km/h (Moderate)

Calculation Steps (Simplified):

  1. Estimate BMR: Let's assume Sarah's BMR is approx. (60 * 22) = 1320 kcal/day.
  2. Base METs for moderate walking: ~3.5
  3. Adjusted METs: The calculator internally adjusts this based on the 12kg pack / 60kg body weight ratio. Let's say it becomes ~4.5 METs.
  4. Duration: 10 km / 5.6 km/h ≈ 1.79 hours.
  5. Calories Burned: (1320 / 24) * 4.5 * 1.79 ≈ 825 kcal.

Result Interpretation: Sarah can expect to burn approximately 825 calories during her 10 km walk with the weighted backpack. This information helps her manage her nutrition for the hike, ensuring she consumes enough energy without overeating. She can also use this to track her fitness improvements by seeing if she can cover the same distance faster or with more weight in the future. This relates directly to hiking fitness planning.

Example 2: Enhancing Daily Exercise Routine

Mark wants to increase his daily calorie burn. He weighs 85 kg and decides to add a 15 kg weighted vest to his usual 5 km walk at a brisk pace (6.4 km/h).

Inputs:

  • Body Weight: 85 kg
  • Backpack Weight: 15 kg
  • Distance: 5 km
  • Speed: 6.4 km/h (Brisk)

Calculation Steps (Simplified):

  1. Estimate BMR: Mark's BMR is approx. (85 * 22) = 1870 kcal/day.
  2. Base METs for brisk walking: ~5.0
  3. Adjusted METs: With a 15kg pack on 85kg body weight, the calculator might estimate ~6.2 METs.
  4. Duration: 5 km / 6.4 km/h ≈ 0.78 hours.
  5. Calories Burned: (1870 / 24) * 6.2 * 0.78 ≈ 478 kcal.

Result Interpretation: Mark burns about 478 calories on this 5 km brisk walk with his weighted vest. This is significantly more than the ~300 calories he might burn walking the same distance without the weight. Adding this intentional calorie burn can aid his weight loss goals, provided his diet remains consistent. He can track how the added challenge affects his perceived exertion and recovery, crucial elements for progressive overload strategies.

How to Use This Weighted Backpack Walking Calories Calculator

Using the calculator is straightforward and designed for quick, accurate estimations. Follow these steps to get your personalized calorie burn results:

  1. Enter Your Body Weight: Input your current weight in kilograms (kg) into the "Your Body Weight" field.
  2. Specify Backpack Weight: Enter the total weight of your loaded backpack in kilograms (kg) into the "Backpack Weight" field.
  3. Input Walking Distance: Enter the total distance you plan to walk in kilometers (km).
  4. Select Walking Speed: Choose your average walking speed from the dropdown menu (Casual, Moderate, or Brisk).
  5. Calculate: Click the "Calculate Calories" button.

How to Read Results: The calculator will display:

  • Primary Result (Main Highlighted): The estimated total calories burned (kcal) for your specified walk.
  • Intermediate Values:
    • Basal Metabolic Rate (BMR): Your estimated daily calorie burn at rest.
    • Metabolic Equivalent of Task (METs): The intensity level of your walk, adjusted for the backpack's weight. Higher METs mean greater calorie burn.
    • Calories Burned (Activity): The total calories burned specifically from the walking activity itself.
  • Detailed Table: Shows estimated calorie burn and METs for various backpack weights, helping you visualize the impact of different loads.
  • Chart: Visually represents how calorie burn changes with increasing backpack weight for your selected distance and speed.

Decision-Making Guidance: Use these results to:

  • Adjust Nutrition: Plan your pre- and post-exercise meals to fuel your activity and recovery effectively.
  • Monitor Progress: Track your calorie expenditure over time to see the impact of your weighted walking program on your fitness goals.
  • Adjust Training: Decide if you need to increase weight, distance, or speed to meet specific calorie burn targets. Remember to progress gradually to avoid injury. A progressive overload guide can be helpful here.

Key Factors That Affect Weighted Backpack Walking Calorie Results

While the calculator provides a solid estimate, several factors can influence the actual calories burned during weighted backpack walking:

  1. Individual Metabolism: Each person's BMR and metabolic efficiency differ. Factors like age, genetics, muscle mass, and hormonal balance play a significant role, meaning two people with identical stats might burn slightly different amounts of calories.
  2. Terrain and Incline: Walking uphill or on uneven terrain requires significantly more energy than walking on a flat, smooth surface. This calculator assumes relatively flat terrain. Steep inclines drastically increase calorie expenditure, often beyond what standard MET calculations account for.
  3. Walking Efficiency (Biomechanics): How efficiently a person moves affects energy cost. Poor posture, inefficient stride, or awkward movement patterns can increase the energy needed to cover the same distance, thus burning more calories, but also potentially increasing injury risk.
  4. Environmental Conditions: Extreme temperatures (hot or cold) force the body to work harder to maintain its core temperature, increasing calorie burn. High altitudes also increase metabolic demand due to lower oxygen levels.
  5. Backpack Fit and Load Distribution: A poorly fitting backpack or unevenly distributed weight can alter biomechanics, potentially increasing energy expenditure or leading to discomfort and reduced pace. Proper fitting is crucial for both efficiency and safety. This ties into proper gear selection.
  6. Fitness Level and Acclimatization: A person's cardiovascular fitness level influences how efficiently they use energy. As you become fitter, your body may become more efficient, potentially reducing calorie burn for the same activity. Conversely, being accustomed to carrying weight (acclimatized) might make the exertion feel less intense, though the actual energy expenditure remains high.
  7. Accuracy of Input Data: The reliability of the results depends entirely on the accuracy of the weight, distance, and speed entered. Inaccurate measurements will lead to inaccurate estimations.
  8. Individual Body Composition: The ratio of muscle mass to fat mass can influence metabolic rate and energy expenditure. Higher muscle mass generally leads to a higher BMR.

Frequently Asked Questions (FAQ)

Q1: Is walking with a weighted backpack safe?

A: Generally yes, if done correctly. Start with a lighter weight (10-15% of body weight) and gradually increase. Ensure proper backpack fit, good posture, and listen to your body. Avoid if you have pre-existing joint or back issues without consulting a doctor. Gradual progression is key, aligning with principles of safe exercise progression.

Q2: How much weight should I add to my backpack?

A: A common recommendation for training is 10-15% of your body weight. For experienced hikers or military training, it can go up to 20-25% or more, but this requires significant conditioning. Always prioritize safety and gradual increases.

Q3: Does walking with a weighted backpack help build muscle?

A: Yes, it strengthens leg muscles (quads, hamstrings, glutes, calves) and core muscles used for stabilization. It also increases the load on your cardiovascular system, improving endurance.

Q4: How often should I walk with a weighted backpack?

A: For general fitness, 1-3 times per week is often sufficient, depending on intensity and recovery needs. Athletes or those in specific training programs might do it more frequently, integrating it into a broader fitness and conditioning plan.

Q5: Does the type of backpack matter?

A: Yes. A well-designed backpack with a supportive frame, padded shoulder straps, and a hip belt distributes weight more effectively, reducing strain on your shoulders and back. This is crucial for comfort and injury prevention over longer distances.

Q6: Will I burn more calories walking faster with a weighted backpack or walking slower with a heavier backpack?

A: It depends on the specifics. Calorie burn is a function of intensity (METs) and duration. A faster walk burns more calories per minute but for a shorter duration if covering the same distance. A heavier backpack increases the MET value (intensity), leading to more calories burned per minute. The calculator helps estimate this trade-off. Generally, increasing either weight or speed increases total calorie burn for a given distance.

Q7: Does this calculator account for incline?

A: This calculator primarily assumes flat terrain. Walking uphill significantly increases calorie expenditure beyond these estimates. For hilly terrain, expect your actual calorie burn to be higher.

Q8: How accurate are these calorie estimates?

A: These estimates are based on standard physiological formulas and multipliers. Individual metabolic rates, biomechanics, and environmental factors mean actual burn can vary. Use it as a guide for comparison and planning rather than an exact measurement.

Related Tools and Internal Resources

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// Global variables for chart data var chartInstance = null; var chartLabels = []; var chartData = []; // Function to get default values from the calculator function getDefaultValues() { return { weight: 70, // kg backpackWeight: 10, // kg distance: 5, // km speed: 5.6 // km/h }; } // Function to validate input function validateInput(id, errorId, min, max, isEmptyAllowed = false) { var input = document.getElementById(id); var errorElement = document.getElementById(errorId); var value = parseFloat(input.value); errorElement.textContent = "; // Clear previous error if (!isEmptyAllowed && (input.value.trim() === " || isNaN(value))) { errorElement.textContent = 'This field is required.'; return false; } if (input.value.trim() === " && isEmptyAllowed) { return true; // Empty is allowed and valid } if (isNaN(value)) { errorElement.textContent = 'Please enter a valid number.'; return false; } if (value max) { errorElement.textContent = 'Value cannot exceed ' + max + '.'; return false; } return true; } // Main calculation function function calculateCalories() { var weightValid = validateInput('weight', 'weightError', 0); var backpackWeightValid = validateInput('backpackWeight', 'backpackWeightError', 0); var distanceValid = validateInput('distance', 'distanceError', 0); var speed = parseFloat(document.getElementById('speed').value); if (!weightValid || !backpackWeightValid || !distanceValid) { // If any validation fails, do not proceed with calculation document.getElementById('mainResult').textContent = '– kcal'; document.getElementById('bmrDisplay').innerHTML = 'Basal Metabolic Rate (BMR): — kcal/day'; document.getElementById('metsDisplay').innerHTML = 'Metabolic Equivalent of Task (METs): –'; document.getElementById('activityCaloriesDisplay').innerHTML = 'Calories Burned (Activity): — kcal'; updateTableAndChart([], []); // Clear table and chart data return; } var weight = parseFloat(document.getElementById('weight').value); var backpackWeight = parseFloat(document.getElementById('backpackWeight').value); var distance = parseFloat(document.getElementById('distance').value); // — Calculation Logic — // 1. Estimate BMR (Mifflin-St Jeor approximation based on weight) // Using a common simplified approximation: BMR in kcal/day ≈ weight_kg * 22 var bmr = weight * 22; document.getElementById('bmrDisplay').innerHTML = 'Basal Metabolic Rate (BMR): ' + bmr.toFixed(0) + ' kcal/day'; // 2. Determine Base METs based on speed var baseMets; if (speed <= 4.8) { baseMets = 3.0; // Casual } else if (speed 10.0) adjustedMets = 10.0; if (adjustedMets < baseMets) adjustedMets = baseMets; // Ensure it doesn't go below base METs document.getElementById('metsDisplay').innerHTML = 'Metabolic Equivalent of Task (METs): ' + adjustedMets.toFixed(2); // 4. Calculate Duration var durationHours = distance / speed; // 5. Calculate Calories Burned // Formula: Calories = (BMR / 24 hours) * Adjusted_METs * Duration (hours) var caloriesBurnedActivity = (bmr / 24) * adjustedMets * durationHours; var totalCaloriesBurned = caloriesBurnedActivity; // For this calculator, activity burn IS the total burn document.getElementById('mainResult').textContent = totalCaloriesBurned.toFixed(0) + ' kcal'; document.getElementById('activityCaloriesDisplay').innerHTML = 'Calories Burned (Activity): ' + totalCaloriesBurned.toFixed(0) + ' kcal'; // Update Table and Chart Data updateTableAndChart(weight, backpackWeight, distance, speed, totalCaloriesBurned, adjustedMets); } // Function to update the detail table and chart function updateTableAndChart(currentWeight, currentBackpackWeight, currentDistance, currentSpeed, currentTotalCalories, currentAdjustedMets) { var tableBody = document.getElementById('dataTableBody'); tableBody.innerHTML = "; // Clear previous rows chartLabels = []; chartData = []; var standardWeights = [0, 5, 10, 15, 20]; // kg for (var i = 0; i < standardWeights.length; i++) { var bpWeight = standardWeights[i]; var tempWeight = currentWeight; // Use user's body weight var tempDistance = currentDistance; // Use user's distance var tempSpeed = currentSpeed; // Use user's speed // Simulate BMR calculation for this weight if needed, or use user's BMR // For simplicity, let's assume BMR scales linearly with weight for the table example // Or, more realistically, use the user's BMR and adjust METs based on *this* bpWeight var simulatedBmr = tempWeight * 22; // Using user's weight for BMR var baseMetsForTable; if (tempSpeed <= 4.8) baseMetsForTable = 3.0; else if (tempSpeed 10.0) adjustedMetsForTable = 10.0; if (adjustedMetsForTable < baseMetsForTable) adjustedMetsForTable = baseMetsForTable; var durationForTable = tempDistance / tempSpeed; var caloriesBurnedForTable = (simulatedBmr / 24) * adjustedMetsForTable * durationForTable; var row = tableBody.insertRow(); var cell1 = row.insertCell(0); var cell2 = row.insertCell(1); var cell3 = row.insertCell(2); cell1.textContent = bpWeight + ' kg'; cell2.textContent = isNaN(caloriesBurnedForTable) || !isFinite(caloriesBurnedForTable) ? '– kcal' : caloriesBurnedForTable.toFixed(0) + ' kcal'; cell3.textContent = isNaN(adjustedMetsForTable) || !isFinite(adjustedMetsForTable) ? '–' : adjustedMetsForTable.toFixed(2); // Prepare data for chart chartLabels.push(bpWeight + ' kg'); chartData.push(isNaN(caloriesBurnedForTable) || !isFinite(caloriesBurnedForTable) ? 0 : caloriesBurnedForTable); } drawChart(); // Redraw the chart with new data } // Function to draw the chart function drawChart() { var ctx = document.getElementById('caloriesChart').getContext('2d'); // Destroy previous chart instance if it exists if (chartInstance) { chartInstance.destroy(); } // Create new chart instance chartInstance = new Chart(ctx, { type: 'bar', // Use bar chart for comparison data: { labels: chartLabels, datasets: [{ label: 'Estimated Calories Burned (kcal)', data: chartData, backgroundColor: 'rgba(40, 167, 69, 0.6)', // Success color borderColor: 'rgba(40, 167, 69, 1)', borderWidth: 1 }, { label: 'Adjusted METs', data: chartLabels.map(function(label, index) { // Find the corresponding MET value from the table row // This requires re-calculating or storing METs alongside calories // Let's recalculate for simplicity here var bpWeight = parseFloat(label.replace(' kg', '')); var weight = parseFloat(document.getElementById('weight').value) || 70; // Fallback weight var speed = parseFloat(document.getElementById('speed').value) || 5.6; // Fallback speed var simulatedBmr = weight * 22; var baseMetsForChart; if (speed <= 4.8) baseMetsForChart = 3.0; else if (speed 10.0) adjustedMetsForChart = 10.0; if (adjustedMetsForChart < baseMetsForChart) adjustedMetsForChart = baseMetsForChart; return adjustedMetsForChart; }), backgroundColor: 'rgba(0, 74, 153, 0.6)', // Primary color borderColor: 'rgba(0, 74, 153, 1)', borderWidth: 1, type: 'line', // Display METs as a line overlay fill: false, yAxisID: 'METsAxis' // Use a secondary y-axis for METs }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Calories Burned (kcal)' } }, METsAxis: { // Configuration for the secondary y-axis type: 'linear', position: 'right', grid: { drawOnChartArea: false, // Don't draw grid lines for this axis }, title: { display: true, text: 'Adjusted METs' }, min: 0, // Adjust min/max based on expected MET values max: 12 } }, plugins: { title: { display: true, text: 'Calorie Burn and METs vs. Backpack Weight' }, legend: { position: 'top' } } } }); } // Function to reset the calculator to default values function resetCalculator() { var defaults = getDefaultValues(); document.getElementById('weight').value = defaults.weight; document.getElementById('backpackWeight').value = defaults.backpackWeight; document.getElementById('distance').value = defaults.distance; document.getElementById('speed').value = defaults.speed; // Clear error messages document.getElementById('weightError').textContent = ''; document.getElementById('backpackWeightError').textContent = ''; document.getElementById('distanceError').textContent = ''; calculateCalories(); // Recalculate with default values } // Function to copy results function copyResults() { var mainResult = document.getElementById('mainResult').textContent; var bmrDisplay = document.getElementById('bmrDisplay').textContent; var metsDisplay = document.getElementById('metsDisplay').textContent; var activityCaloriesDisplay = document.getElementById('activityCaloriesDisplay').textContent; // Get table data var tableRows = document.getElementById('dataTableBody').rows; var tableData = "Backpack Weight | Estimated Calories Burned | METs (Adjusted)\n"; for (var i = 0; i < tableRows.length; i++) { tableData += tableRows[i].cells[0].textContent + " | " + tableRows[i].cells[1].textContent + " | " + tableRows[i].cells[2].textContent + "\n"; } var assumptions = "Assumptions:\n"; assumptions += "Body Weight: " + document.getElementById('weight').value + " kg\n"; assumptions += "Backpack Weight: " + document.getElementById('backpackWeight').value + " kg\n"; assumptions += "Distance: " + document.getElementById('distance').value + " km\n"; assumptions += "Speed: " + document.getElementById('speed').options[document.getElementById('speed').selectedIndex].text + "\n"; assumptions += "Based on BMR Approximation & MET Adjustments.\n"; var textToCopy = "— Weighted Backpack Walking Calorie Burn Results —\n\n"; textToCopy += mainResult + "\n"; textToCopy += bmrDisplay.replace('', ").replace('', ") + "\n"; textToCopy += metsDisplay.replace('', ").replace('', ") + "\n"; textToCopy += activityCaloriesDisplay.replace('', ").replace('', ") + "\n\n"; textToCopy += "— Detailed Breakdown —\n" + tableData + "\n"; textToCopy += "— Key Inputs & Assumptions —\n" + assumptions; // Use navigator.clipboard for modern browsers if (navigator.clipboard && navigator.clipboard.writeText) { navigator.clipboard.writeText(textToCopy).then(function() { alert('Results copied to clipboard!'); }).catch(function(err) { console.error('Failed to copy text: ', err); fallbackCopyTextToClipboard(textToCopy); // Fallback for older browsers }); } else { fallbackCopyTextToClipboard(textToCopy); // Fallback for older browsers } } // Fallback copy function for older browsers function fallbackCopyTextToClipboard(text) { var textArea = document.createElement("textarea"); textArea.value = text; // Avoid scrolling to bottom textArea.style.top = "0"; textArea.style.left = "0"; textArea.style.position = "fixed"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'successful' : 'unsuccessful'; console.log('Fallback: Copying text command was ' + msg); alert('Results copied to clipboard!'); } catch (err) { console.error('Fallback: Oops, unable to copy', err); alert('Could not copy results. Please copy manually.'); } document.body.removeChild(textArea); } // Function to toggle advanced details (currently shows/hides chart and table) function showAdvancedDetails() { var chartContainer = document.getElementById('chartContainer'); var tableContainer = document.querySelector('table'); // Select the table element if (chartContainer.style.display === 'none' || chartContainer.style.display === ") { chartContainer.style.display = 'flex'; // Show chart tableContainer.style.display = 'table'; // Show table } else { chartContainer.style.display = 'none'; // Hide chart tableContainer.style.display = 'none'; // Hide table } } // Function to toggle FAQ answers function toggleFaq(element) { var answer = element.nextElementSibling; var allAnswers = element.parentNode.querySelectorAll('p'); allAnswers.forEach(function(p) { if (p !== answer) { p.classList.remove('active'); } }); if (answer.classList.contains('active')) { answer.classList.remove('active'); } else { answer.classList.add('active'); } } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { // Load default values resetCalculator(); // Initially hide chart and table document.getElementById('chartContainer').style.display = 'none'; document.querySelector('table').style.display = 'none'; // Add event listeners for input changes to update in real-time document.getElementById('weight').addEventListener('input', calculateCalories); document.getElementById('backpackWeight').addEventListener('input', calculateCalories); document.getElementById('distance').addEventListener('input', calculateCalories); document.getElementById('speed').addEventListener('change', calculateCalories); // Initial draw for the table and chart based on defaults updateTableAndChart( parseFloat(document.getElementById('weight').value), parseFloat(document.getElementById('backpackWeight').value), parseFloat(document.getElementById('distance').value), parseFloat(document.getElementById('speed').value), 0, 0 // Placeholder values for initial call ); });

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