Age Weight Calculator Running

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Age and Running Weight Calculator

Estimate your optimal running weight based on your age and other key physiological factors.

Your current age in years.
Your height in centimeters (e.g., 175).
Your current weight in kilograms (e.g., 70).
Estimated body fat percentage (e.g., 20).
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 a week) Extra Active (very hard exercise/sports & physical job) Your general daily activity level.

Your Running Weight Analysis

— kg
Lean Body Mass: — kg
Ideal Weight Range: — kg to — kg
Basal Metabolic Rate (BMR): — kcal/day
Calculations are based on standard formulas for BMR (Mifflin-St Jeor), Lean Body Mass, and a target healthy body fat percentage for runners. The ideal weight range considers a healthy body fat percentage for athletic individuals.

Weight Analysis Table

Key Metrics for Running Weight Optimization
Metric Value Unit Description
Current Weight kg Your current body mass.
Lean Body Mass (LBM) kg The mass of your body excluding fat.
Target Body Fat % % A healthy range for runners.
Target Weight (Lower End) kg Weight at the lower end of the healthy range.
Target Weight (Upper End) kg Weight at the upper end of the healthy range.
Basal Metabolic Rate (BMR) kcal/day Calories burned at rest.

Weight Trend Visualization

Visualizing potential weight ranges based on age and current metrics.

Age and Running Weight Calculator: Optimizing Your Performance

Understanding the relationship between your age, weight, and running performance is crucial for athletes of all levels. While there's no single magic number, our Age and Running Weight Calculator helps you estimate an optimal weight range that supports your running goals while maintaining health. This tool considers key physiological factors beyond just height and weight, providing a more nuanced perspective.

What is the Age and Running Weight Calculator?

The Age and Running Weight Calculator is a specialized tool designed to help runners determine a healthy and performance-enhancing weight range. It goes beyond generic BMI calculations by incorporating age, current body composition (body fat percentage), and activity level. For runners, weight is a significant factor influencing speed, endurance, and injury risk. Being too heavy can strain joints and slow you down, while being excessively underweight can lead to nutrient deficiencies, hormonal imbalances, and reduced energy levels.

Who should use it?

  • Competitive runners aiming to optimize their race weight.
  • Recreational runners looking to improve their performance and reduce injury risk.
  • Individuals seeking a healthier weight range that supports an active lifestyle.
  • Coaches and trainers advising athletes on weight management strategies.

Common Misconceptions:

  • "Lighter is always faster": While a lower weight often correlates with better performance, extreme leanness can be detrimental to health and endurance.
  • "BMI is the ultimate measure": BMI doesn't distinguish between muscle and fat mass, making it less accurate for athletes.
  • "Weight goals are static": Optimal weight can fluctuate based on training phases, age, and individual physiology.

Age and Running Weight Calculator Formula and Mathematical Explanation

Our calculator uses a multi-step approach to provide a comprehensive analysis. The core components involve estimating Basal Metabolic Rate (BMR), calculating Lean Body Mass (LBM), and then determining a target weight range based on healthy body fat percentages for runners.

Step 1: Basal Metabolic Rate (BMR) Calculation

We use the Mifflin-St Jeor equation, considered one of the most accurate for estimating BMR:

  • 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 use a gender-neutral approximation or assume a standard calculation. A more advanced calculator would ask for gender.

Step 2: Lean Body Mass (LBM) Calculation

LBM is your total weight minus the weight of your body fat. It represents the mass of your muscles, bones, organs, and water.

Formula: LBM = Current Weight (kg) × (1 – (Body Fat Percentage / 100))

Step 3: Target Weight Range Calculation

This is where age and running-specific goals come into play. While LBM should ideally remain stable, the target weight is derived by aiming for a healthy body fat percentage suitable for runners. For male runners, a range of 6-13% body fat is often considered optimal, while for female runners, it's typically 14-20%. The calculator uses a generalized healthy range for athletes.

Formula: Target Weight = LBM / (1 – (Target Body Fat Percentage / 100))

We calculate a lower and upper bound for the target weight by using the lower and upper ends of a healthy body fat percentage range for active individuals.

Step 4: Total Daily Energy Expenditure (TDEE) – Implied

While not directly displayed as a primary result, the BMR is adjusted by the activity level multiplier to estimate TDEE. This is relevant because maintaining a specific weight requires balancing energy intake with expenditure.

Formula: TDEE = BMR × Activity Level Multiplier

Variables Table

Variables Used in the Age and Running Weight Calculator
Variable Meaning Unit Typical Range
Age User's current age Years 1 – 120
Height User's height cm 50 – 250
Current Weight User's current body mass kg 1 – 500
Body Fat Percentage Estimated percentage of body fat % 0 – 100
Activity Level Multiplier based on daily physical activity Multiplier 1.2 – 1.9
Lean Body Mass (LBM) Weight excluding fat mass kg Varies based on inputs
Basal Metabolic Rate (BMR) Calories burned at rest kcal/day Varies based on inputs
Target Body Fat % Healthy body fat percentage for runners % ~6-13% (Men), ~14-20% (Women) – Calculator uses a generalized range
Ideal Weight Range Performance-oriented healthy weight kg Varies based on LBM and target BF%

Practical Examples (Real-World Use Cases)

Example 1: The Aspiring Marathoner

Scenario: Sarah is a 30-year-old female runner training for her first marathon. She stands 165 cm tall, weighs 62 kg, and estimates her body fat percentage at 24%. She trains 4-5 times a week.

Inputs:

  • Age: 30 years
  • Height: 165 cm
  • Current Weight: 62 kg
  • Body Fat Percentage: 24%
  • Activity Level: Moderately Active (1.55)

Calculated Results:

  • Lean Body Mass (LBM): 62 kg * (1 – (24/100)) = 47.12 kg
  • Basal Metabolic Rate (BMR): (10 * 62) + (6.25 * 165) – (5 * 30) – 161 = 620 + 1031.25 – 150 – 161 = 1340.25 kcal/day
  • Target Body Fat % (using a generalized range, e.g., 15%-21% for active females):
  • Target Weight (Lower End, 15% BF): 47.12 kg / (1 – 0.15) = 55.44 kg
  • Target Weight (Upper End, 21% BF): 47.12 kg / (1 – 0.21) = 59.65 kg
  • Primary Result: Ideal Weight Range: 55.4 kg to 59.7 kg

Interpretation: Sarah's current weight of 62 kg is slightly above the calculated ideal range for optimal running performance and health. Losing around 2-6 kg, primarily from fat mass, could potentially improve her running efficiency and reduce strain. She should aim for a gradual, sustainable weight loss focusing on fat reduction, not muscle loss.

Example 2: The Experienced Sprinter

Scenario: Mark is a 45-year-old male sprinter, 180 cm tall, weighing 78 kg. He has a significant muscle mass and estimates his body fat at 15%. He trains intensely 6 days a week.

Inputs:

  • Age: 45 years
  • Height: 180 cm
  • Current Weight: 78 kg
  • Body Fat Percentage: 15%
  • Activity Level: Very Active (1.725)

Calculated Results:

  • Lean Body Mass (LBM): 78 kg * (1 – (15/100)) = 66.3 kg
  • Basal Metabolic Rate (BMR): (10 * 78) + (6.25 * 180) – (5 * 45) + 5 = 780 + 1125 – 225 + 5 = 1685 kcal/day
  • Target Body Fat % (using a generalized range, e.g., 8%-14% for active males):
  • Target Weight (Lower End, 8% BF): 66.3 kg / (1 – 0.08) = 72.07 kg
  • Target Weight (Upper End, 14% BF): 66.3 kg / (1 – 0.14) = 77.09 kg
  • Primary Result: Ideal Weight Range: 72.1 kg to 77.1 kg

Interpretation: Mark's current weight of 78 kg is at the very top end, or slightly above, the calculated ideal range. Given his high muscle mass (LBM of 66.3 kg), his current weight might be acceptable if his body fat is indeed 15%. However, if his body fat creeps higher, even a small increase could impact sprinting performance. He should monitor his body composition closely rather than focusing solely on the scale. Any weight loss should prioritize maintaining muscle mass.

How to Use This Age and Running Weight Calculator

Using the calculator is straightforward. Follow these steps to get your personalized running weight analysis:

  1. Enter Your Age: Input your current age in years. Age can subtly influence metabolism and recovery, impacting ideal weight considerations.
  2. Input Height: Provide your height in centimeters.
  3. Enter Current Weight: State your current weight in kilograms.
  4. Estimate Body Fat Percentage: Input your best estimate of your body fat percentage. This is a critical input for determining LBM and target weight. If unsure, use a body fat scale or consult a professional.
  5. Select Activity Level: Choose the option that best describes your typical daily physical activity. This affects your overall energy expenditure.
  6. Click 'Calculate': The tool will process your inputs and display the results.

How to Read Results:

  • Primary Result (Ideal Weight Range): This is the core output, showing the weight range (in kg) that is generally considered healthy and conducive to running performance for someone with your metrics.
  • Lean Body Mass (LBM): Indicates the amount of non-fat tissue you have. Maintaining LBM is crucial during weight management.
  • Basal Metabolic Rate (BMR): Shows the calories your body burns at rest. This helps in understanding your baseline energy needs.
  • Weight Analysis Table: Provides a detailed breakdown of the key metrics used in the calculation.
  • Weight Trend Visualization: Offers a graphical representation, helping you visualize the relationship between different metrics.

Decision-Making Guidance:

  • If your current weight falls within the ideal range, focus on maintaining it through balanced nutrition and consistent training.
  • If your current weight is above the ideal range, consider a gradual fat loss plan. Aim to lose 0.5-1 kg per week by creating a moderate calorie deficit (around 500 kcal/day) through diet and exercise. Prioritize nutrient-dense foods and strength training to preserve muscle mass.
  • If your current weight is below the ideal range, especially if accompanied by low body fat and fatigue, consult a healthcare professional or registered dietitian. Ensure you are consuming enough calories to support your training and recovery.

Key Factors That Affect Age and Running Weight Results

While our calculator provides a valuable estimate, several factors can influence your ideal running weight and performance:

  1. Genetics: Individual genetic makeup plays a significant role in body composition, metabolism, and how your body responds to training and weight changes. Some people naturally carry more muscle or have a higher metabolic rate.
  2. Muscle Mass: Athletes, especially sprinters or weightlifters, may have higher body weights due to dense muscle mass. Our calculator accounts for this via LBM, but extremely high muscle mass might still place someone slightly outside typical "ideal" ranges while being perfectly healthy and performant.
  3. Bone Density: Bone structure and density vary among individuals. Heavier bone structure can contribute to overall body weight without indicating excess body fat.
  4. Age-Related Metabolic Changes: Metabolism tends to slow down slightly with age. While the calculator uses age, the exact impact can vary. Older runners might need to be more mindful of calorie intake and recovery.
  5. Training Intensity and Type: Endurance runners often benefit from lower body fat percentages than sprinters or strength-focused athletes. The type of running (long distance vs. sprints) influences the ideal physique.
  6. Hormonal Factors: Hormonal balance (e.g., thyroid function, sex hormones) significantly impacts metabolism, body composition, and energy levels. Imbalances can affect weight management efforts.
  7. Nutrition Quality: The type of calories consumed matters. A diet rich in whole foods supports muscle repair and energy, while processed foods can hinder performance and contribute to unwanted fat gain, even at the same calorie level.
  8. Hydration Levels: Water weight can fluctuate daily and affect scale readings. Proper hydration is essential for performance and overall health, but temporary water retention isn't indicative of fat gain.

Frequently Asked Questions (FAQ)

Q1: Is the ideal running weight the same for men and women?

A1: No. Generally, women have a higher essential body fat percentage than men due to reproductive functions. Our calculator uses generalized ranges, but specific targets often differ between genders. A more advanced tool would ask for gender.

Q2: How accurate is the body fat percentage input?

A2: The accuracy depends heavily on the method used to estimate body fat. Calipers, bioelectrical impedance scales, and DEXA scans offer varying levels of precision. Using a consistent method is key. Inaccurate body fat input will lead to less accurate LBM and target weight calculations.

Q3: What if my current weight is much lower than the ideal range?

A3: If you are underweight and feel fatigued, have low energy, or experience frequent illness, it's crucial to consult a doctor or registered dietitian. You might need to increase calorie intake, focusing on nutrient-dense foods, to support your health and training.

Q4: Can age significantly change my ideal running weight?

A4: Yes, age can influence metabolism and body composition. As people age, maintaining muscle mass becomes more challenging, and metabolism may slightly decrease. This might mean adjustments are needed, but the core principles of healthy weight for performance remain.

Q5: Should I prioritize weight loss or performance?

A5: For most runners, performance and health should be prioritized. Weight loss should be a means to enhance performance and reduce injury risk, not an end in itself. Losing weight too aggressively can harm performance and health.

Q6: Does this calculator account for different running disciplines (e.g., marathon vs. sprinting)?

A6: This calculator provides a general guideline for runners. Elite marathoners often benefit from lower body fat percentages than sprinters, who may carry more muscle mass. The "ideal" range is a balance of health and performance applicable broadly, but individual needs may vary.

Q7: What is the difference between weight loss and fat loss?

A7: Weight loss can include loss of water, muscle, and fat. Fat loss specifically targets adipose tissue. For runners, preserving muscle mass while losing fat is crucial for maintaining strength and performance. This calculator focuses on achieving a target weight by reducing body fat.

Q8: How often should I recalculate my ideal running weight?

A8: It's advisable to recalculate periodically, perhaps every 6-12 months, or whenever you experience significant changes in your training, diet, or body composition. Your needs can evolve as you progress as a runner.

var ageInput = document.getElementById('age'); var heightCmInput = document.getElementById('heightCm'); var weightKgInput = document.getElementById('weightKg'); var bodyFatPercentageInput = document.getElementById('bodyFatPercentage'); var activityLevelInput = document.getElementById('activityLevel'); var ageError = document.getElementById('ageError'); var heightCmError = document.getElementById('heightCmError'); var weightKgError = document.getElementById('weightKgError'); var bodyFatPercentageError = document.getElementById('bodyFatPercentageError'); var primaryResultDiv = document.getElementById('primaryResult'); var leanMassDiv = document.getElementById('leanMass').querySelector('span'); var idealWeightRangeDiv = document.getElementById('idealWeightRange'); var bmrDiv = document.getElementById('bmr').querySelector('span'); var tableCurrentWeightTd = document.getElementById('tableCurrentWeight'); var tableLBMtd = document.getElementById('tableLBM'); var tableTargetBFTd = document.getElementById('tableTargetBF'); var tableTargetWeightLowTd = document.getElementById('tableTargetWeightLow'); var tableTargetWeightHighTd = document.getElementById('tableTargetWeightHigh'); var tableBMRtd = document.getElementById('tableBMR'); var chart; var chartContext; function validateInput(inputElement, errorElement, min, max, fieldName) { var value = parseFloat(inputElement.value); var isValid = true; if (isNaN(value) || inputElement.value.trim() === "") { errorElement.textContent = fieldName + " is required."; errorElement.classList.add('visible'); isValid = false; } else if (value max) { errorElement.textContent = fieldName + " cannot be greater than " + max + "."; errorElement.classList.add('visible'); isValid = false; } else { errorElement.textContent = ""; errorElement.classList.remove('visible'); } return isValid; } function calculateWeight() { var isValid = true; isValid &= validateInput(ageInput, ageError, 1, 120, "Age"); isValid &= validateInput(heightCmInput, heightCmError, 50, 250, "Height"); isValid &= validateInput(weightKgInput, weightKgError, 1, 500, "Current Weight"); isValid &= validateInput(bodyFatPercentageInput, bodyFatPercentageError, 0, 100, "Body Fat Percentage"); if (!isValid) { resetResults(); return; } var age = parseFloat(ageInput.value); var heightCm = parseFloat(heightCmInput.value); var weightKg = parseFloat(weightKgInput.value); var bodyFatPercentage = parseFloat(bodyFatPercentageInput.value); var activityLevel = parseFloat(activityLevelInput.value); // Simplified BMR calculation (Mifflin-St Jeor approximation, gender-neutral) // A more accurate version would require gender input. var bmr = (10 * weightKg) + (6.25 * heightCm) – (5 * age) + 5; // Basic formula, often adjusted for gender // For simplicity, let's assume a general calculation or use a common average adjustment if gender isn't specified. // A common approach is to use a slightly adjusted formula or prompt for gender. // For this example, we'll stick to a basic form and acknowledge its limitation. var leanMass = weightKg * (1 – (bodyFatPercentage / 100)); leanMass = Math.max(0, leanMass); // Ensure lean mass is not negative // Target body fat percentages for runners (generalized) // Lower end for men: ~8%, Upper end for men: ~14% // Lower end for women: ~15%, Upper end for women: ~21% // Using a generalized range for simplicity: 8% to 21% var targetBfLow = 0.08; var targetBfHigh = 0.21; var targetWeightLow = leanMass / (1 – targetBfLow); var targetWeightHigh = leanMass / (1 – targetBfHigh); // Ensure target weights are reasonable targetWeightLow = Math.max(1, targetWeightLow); targetWeightHigh = Math.max(targetWeightLow, targetWeightHigh); // Ensure upper is >= lower var primaryResult = (targetWeightLow + targetWeightHigh) / 2; // Midpoint of the range as primary result // Update primary result and intermediate values primaryResultDiv.textContent = primaryResult.toFixed(1) + " kg"; leanMassDiv.textContent = leanMass.toFixed(1) + " kg"; idealWeightRangeDiv.textContent = targetWeightLow.toFixed(1) + " kg to " + targetWeightHigh.toFixed(1) + " kg"; bmrDiv.textContent = bmr.toFixed(0) + " kcal/day"; // Update table tableCurrentWeightTd.textContent = weightKg.toFixed(1); tableLBMtd.textContent = leanMass.toFixed(1); tableTargetBFTd.textContent = (targetBfLow * 100).toFixed(0) + "% – " + (targetBfHigh * 100).toFixed(0) + "%"; tableTargetWeightLowTd.textContent = targetWeightLow.toFixed(1); tableTargetWeightHighTd.textContent = targetWeightHigh.toFixed(1); tableBMRtd.textContent = bmr.toFixed(0); updateChart(leanMass, targetWeightLow, targetWeightHigh, weightKg); } function resetResults() { primaryResultDiv.textContent = "– kg"; leanMassDiv.textContent = "– kg"; idealWeightRangeDiv.textContent = "– kg to — kg"; bmrDiv.textContent = "– kcal/day"; tableCurrentWeightTd.textContent = "–"; tableLBMtd.textContent = "–"; tableTargetBFTd.textContent = "–"; tableTargetWeightLowTd.textContent = "–"; tableTargetWeightHighTd.textContent = "–"; tableBMRtd.textContent = "–"; if (chart) { chart.destroy(); chart = null; } } function resetForm() { ageInput.value = "30"; heightCmInput.value = "170"; weightKgInput.value = "70"; bodyFatPercentageInput.value = "20"; activityLevelInput.value = "1.55"; // Moderately Active ageError.textContent = ""; ageError.classList.remove('visible'); heightCmError.textContent = ""; heightCmError.classList.remove('visible'); weightKgError.textContent = ""; weightKgError.classList.remove('visible'); bodyFatPercentageError.textContent = ""; bodyFatPercentageError.classList.remove('visible'); calculateWeight(); } function copyResults() { var resultText = "Age and Running Weight Calculator Results:\n\n"; resultText += "Primary Result (Ideal Weight Range): " + primaryResultDiv.textContent + "\n"; resultText += "Lean Body Mass: " + leanMassDiv.textContent + "\n"; resultText += "Basal Metabolic Rate (BMR): " + bmrDiv.textContent + "\n\n"; resultText += "Key Assumptions:\n"; resultText += "- Age: " + ageInput.value + " years\n"; resultText += "- Height: " + heightCmInput.value + " cm\n"; resultText += "- Current Weight: " + weightKgInput.value + " kg\n"; resultText += "- Body Fat Percentage: " + bodyFatPercentageInput.value + "%\n"; resultText += "- Activity Level: " + activityLevelInput.options[activityLevelInput.selectedIndex].text + "\n"; try { var textArea = document.createElement("textarea"); textArea.value = resultText; document.body.appendChild(textArea); textArea.select(); document.execCommand("copy"); document.body.removeChild(textArea); alert("Results copied to clipboard!"); } catch (err) { alert("Failed to copy results. Please copy manually."); } } function updateChart(lbm, targetLow, targetHigh, currentWeight) { if (!chartContext) { chartContext = document.getElementById('weightChart').getContext('2d'); } if (chart) { chart.destroy(); } var chartData = { labels: ['Current Weight', 'Ideal Range Low', 'Ideal Range High'], datasets: [{ label: 'Weight (kg)', data: [currentWeight, targetLow, targetHigh], backgroundColor: [ 'rgba(0, 74, 153, 0.6)', // Primary color for current weight 'rgba(40, 167, 69, 0.6)', // Success color for ideal low 'rgba(40, 167, 69, 0.6)' // Success color for ideal high ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)', 'rgba(40, 167, 69, 1)' ], borderWidth: 1, barPercentage: 0.7, // Adjust bar width categoryPercentage: 0.5 // Adjust spacing between categories }] }; chart = new Chart(chartContext, { type: 'bar', data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Weight (kg)' } }, x: { title: { display: true, text: 'Weight Category' } } }, plugins: { legend: { display: false // Hide legend as labels are clear }, title: { display: true, text: 'Weight Comparison: Current vs. Ideal Range' } } } }); } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { resetForm(); // Set defaults and calculate }); // Add event listeners for real-time updates (optional, but good UX) ageInput.addEventListener('input', calculateWeight); heightCmInput.addEventListener('input', calculateWeight); weightKgInput.addEventListener('input', calculateWeight); bodyFatPercentageInput.addEventListener('input', calculateWeight); activityLevelInput.addEventListener('change', calculateWeight); // Chart.js library (must be included for the chart to work) // In a real WordPress setup, you'd enqueue this script properly. // For this single HTML file, we assume it's available or include it. // NOTE: For this example, I'm assuming Chart.js is available globally. // If not, you would need to include the Chart.js CDN link in the . // Example CDN:

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