Prevent Score Calculator

Prevent Score Calculator: Assess Your Risk Factors :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 1000px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } header { text-align: center; padding-bottom: 20px; border-bottom: 1px solid var(–border-color); margin-bottom: 20px; } h1 { color: var(–primary-color); margin-bottom: 10px; } .calculator-section { margin-bottom: 30px; padding: 20px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); } .calculator-section h2 { color: var(–primary-color); margin-top: 0; text-align: center; margin-bottom: 20px; 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Prevent Score Calculator

Assess your risk factors and understand your potential for preventable health issues.

Prevent Score Calculator

Your current age in years.
e.g., 25.0 for healthy weight.
Top number in blood pressure reading.
Bottom number in blood pressure reading.
e.g., 200 mg/dL.
"Good" cholesterol. Higher is better.
Non-smoker Former smoker Current smoker
Select your current or past smoking habits.
High (>= 150 min/week moderate or >= 75 min/week vigorous) Moderate (>= 150 min/week moderate or >= 75 min/week vigorous) Low (< 150 min/week moderate or < 75 min/week vigorous) Sedentary (Very little to no exercise)
Frequency and intensity of exercise.
0=Poor, 10=Excellent.
Yes No
Parent or sibling with heart disease before age 55.

Your Prevent Score Results

Risk Category:
Total Points:
Age Factor Score:
Formula Explanation: The Prevent Score is calculated by assigning points to various risk factors. Higher points indicate a higher risk of developing preventable conditions like cardiovascular disease, type 2 diabetes, and certain cancers. The total points are then categorized into risk levels.

Risk Factor Breakdown

Detailed breakdown of risk factors and their point contributions.
Risk Factor Input Value Points Assigned

Prevent Score Trend Over Time

Estimated Prevent Score progression based on current inputs.

What is a Prevent Score?

The Prevent Score calculator is a tool designed to help individuals assess their current risk profile for developing chronic, preventable diseases. It synthesizes various lifestyle and physiological factors into a single, understandable score, offering insights into potential health trajectories. This score is not a definitive diagnosis but rather an indicator of increased susceptibility based on established health guidelines and research.

Who should use it? Anyone interested in proactive health management, individuals with a family history of chronic illnesses, those looking to understand the impact of their lifestyle choices, and healthcare professionals seeking a quick risk assessment tool for patients. It's particularly useful for understanding the cumulative effect of factors like diet, exercise, and physiological markers.

Common misconceptions about the Prevent Score include believing it's a fixed number or a guarantee of future illness. In reality, the score is dynamic and can be improved by making positive lifestyle changes. It's also often misunderstood as a substitute for professional medical advice, which it is not. The score highlights areas for discussion with a healthcare provider.

Prevent Score Formula and Mathematical Explanation

The Prevent Score calculator utilizes a point-based system derived from common health risk assessment models. Each input parameter is assigned a specific point value based on its contribution to overall health risk. These points are summed to generate a total score, which is then categorized.

Step-by-step derivation:

  1. Input Data Collection: Gather all necessary user inputs (Age, BMI, Blood Pressure, Cholesterol levels, Smoking Status, Physical Activity, Diet Quality, Family History).
  2. Point Assignment: Each input is evaluated against predefined thresholds. Based on the value, a specific number of points is awarded. For example, higher blood pressure or BMI generally results in more points.
  3. Age Factor Calculation: Age is a significant multiplier or additive factor, reflecting the increased cumulative risk over time.
  4. Total Score Calculation: All assigned points are summed up.
  5. Risk Categorization: The total score is mapped to a risk category (e.g., Low, Moderate, High, Very High).

Variable Explanations:

The core variables used in the Prevent Score calculator are:

  • Age: Years since birth. A primary factor as risk accumulates over time.
  • BMI (Body Mass Index): A measure of body fat based on height and weight (kg/m²). Indicates weight status.
  • Systolic Blood Pressure: The pressure in arteries when the heart beats. High values indicate hypertension risk.
  • Diastolic Blood Pressure: The pressure in arteries when the heart rests between beats. High values indicate hypertension risk.
  • Total Cholesterol: The sum of cholesterol in the blood. High levels can indicate cardiovascular risk.
  • HDL Cholesterol: High-density lipoprotein, the "good" cholesterol. Higher levels are protective.
  • Smoking Status: Current, former, or never smoker. Smoking is a major risk factor for many diseases.
  • Physical Activity Level: Frequency and intensity of exercise. Regular activity reduces risk.
  • Diet Quality Score: A subjective or objective measure of adherence to a healthy eating pattern.
  • Family History of Heart Disease: Presence of heart disease in close relatives at a young age. Indicates genetic predisposition.

Variables Table:

Variables Used in Prevent Score Calculation
Variable Meaning Unit Typical Range
Age Individual's age Years 18 – 120
BMI Body Mass Index kg/m² 10.0 – 60.0
Systolic BP Systolic Blood Pressure mmHg 50 – 250
Diastolic BP Diastolic Blood Pressure mmHg 30 – 150
Total Cholesterol Total Serum Cholesterol mg/dL 50 – 500
HDL Cholesterol High-Density Lipoprotein Cholesterol mg/dL 20 – 100
Smoking Status Smoking habit classification Categorical (0, 1, 2) 0 (Non), 1 (Former), 2 (Current)
Physical Activity Level of regular exercise Categorical (0-3) 0 (Sedentary) to 3 (High)
Diet Quality Assessment of dietary habits Score (0-10) 0 – 10
Family History History of early-onset heart disease Binary (0, 1) 0 (No), 1 (Yes)

Practical Examples (Real-World Use Cases)

Understanding the Prevent Score calculator is best done through practical examples:

Example 1: Health-Conscious Individual

Inputs:

  • Age: 35
  • BMI: 23.5
  • Systolic BP: 115 mmHg
  • Diastolic BP: 75 mmHg
  • Total Cholesterol: 180 mg/dL
  • HDL Cholesterol: 60 mg/dL
  • Smoking Status: Non-smoker (0)
  • Physical Activity: High (3)
  • Diet Quality: 9.0
  • Family History: No (0)

Calculation & Interpretation: This individual inputs data reflecting a healthy lifestyle. The Prevent Score calculator would likely yield a low total point score and a "Low Risk" category. This indicates a reduced likelihood of developing major preventable diseases in the near future, largely due to consistent healthy habits and favorable physiological markers. This score reinforces the effectiveness of their current lifestyle choices.

Example 2: Individual with Multiple Risk Factors

Inputs:

  • Age: 58
  • BMI: 31.0 (Obese)
  • Systolic BP: 145 mmHg
  • Diastolic BP: 90 mmHg
  • Total Cholesterol: 240 mg/dL
  • HDL Cholesterol: 40 mg/dL
  • Smoking Status: Current smoker (2)
  • Physical Activity: Low (1)
  • Diet Quality: 4.5
  • Family History: Yes (1)

Calculation & Interpretation: This individual presents with several significant risk factors. The Prevent Score calculator would assign substantial points for obesity, elevated blood pressure, high total cholesterol, low HDL, current smoking, poor diet, and a positive family history. The resulting score would likely fall into the "High Risk" or "Very High Risk" category. This outcome serves as a critical warning, highlighting the urgent need for lifestyle modifications and medical consultation to mitigate the elevated risk of heart attack, stroke, diabetes, and other serious conditions.

How to Use This Prevent Score Calculator

Using the Prevent Score calculator is straightforward and designed for ease of use:

  1. Input Your Data: Carefully enter your current health metrics into the respective fields. Ensure accuracy for the most reliable score. Use the helper text for guidance on units and typical values.
  2. Calculate the Score: Click the "Calculate Prevent Score" button. The calculator will process your inputs instantly.
  3. Read the Results:
    • Primary Result: The main score, often presented as a numerical value or a risk category (e.g., Low, Moderate, High).
    • Intermediate Values: Key components like total points, risk category, and specific factor scores provide more detail.
    • Risk Factor Breakdown Table: Shows how many points were assigned to each input, helping you identify specific areas of concern.
    • Chart: Visualizes potential score trends or comparisons.
  4. Interpret and Decide: Understand what your score means. A high score is a call to action. Discuss your results with a healthcare professional to develop a personalized plan for risk reduction. Consider using the "Copy Results" button to share information or keep a record.
  5. Experiment and Improve: Use the calculator to see how changes in lifestyle (e.g., improving diet, increasing exercise, quitting smoking) might impact your score over time. The "Reset" button allows you to start fresh.

Decision-making guidance: A low score suggests you are on the right track. A moderate score warrants attention and potentially minor adjustments. A high score indicates a significant need for intervention, including lifestyle changes and possibly medical treatment. Always consult a doctor for personalized health advice.

Key Factors That Affect Prevent Score Results

Several factors significantly influence the outcome of the Prevent Score calculator, impacting your overall risk assessment:

  1. Age: As age increases, the cumulative risk of developing chronic diseases naturally rises. The calculator reflects this by assigning higher baseline risk or points to older age groups. This is due to longer exposure to potential damaging factors and natural physiological changes.
  2. Body Mass Index (BMI): A high BMI (overweight or obese) is strongly linked to increased risk of type 2 diabetes, heart disease, stroke, and certain cancers. The calculator penalizes higher BMIs with more points, reflecting this significant health burden.
  3. Blood Pressure Levels: Hypertension (high blood pressure) is a major risk factor for cardiovascular events like heart attacks and strokes. Both systolic and diastolic readings are critical; the calculator assigns points based on exceeding healthy thresholds.
  4. Cholesterol Profile: High total cholesterol and low HDL ("good") cholesterol are indicators of increased cardiovascular risk. The ratio between total and HDL cholesterol is also important. The calculator uses these values to quantify risk.
  5. Smoking Status: Smoking is one of the most potent preventable risk factors for numerous diseases, including lung cancer, heart disease, and COPD. Current smokers receive the highest point allocation, reflecting the severe damage caused by tobacco.
  6. Physical Activity Level: Regular physical activity is crucial for maintaining a healthy weight, managing blood pressure and cholesterol, and reducing the risk of diabetes. Sedentary individuals score higher in risk points compared to those who are regularly active.
  7. Diet Quality: A diet rich in fruits, vegetables, whole grains, and lean proteins, while low in processed foods, sugar, and unhealthy fats, is protective. Poor dietary habits contribute significantly to obesity, diabetes, and heart disease, thus increasing the Prevent Score.
  8. Family History: A genetic predisposition, indicated by a family history of early-onset chronic diseases (especially heart disease), increases an individual's inherent risk. While not modifiable, it's a crucial factor in risk assessment.
  9. Inflation and Economic Factors (Indirect): While not directly in the calculator, economic factors can indirectly influence health. Stress related to financial instability can impact blood pressure and lifestyle choices (e.g., access to healthy food, time for exercise).
  10. Fees and Taxes (Indirect): Costs associated with healthcare, healthy foods, or gym memberships can be barriers for some, indirectly affecting their ability to manage risk factors.

Frequently Asked Questions (FAQ)

  • Q: What is the ideal Prevent Score?
    A: The ideal Prevent Score is one that falls into the "Low Risk" category. This generally corresponds to the lowest possible point total, indicating minimal risk based on the assessed factors.
  • Q: Can my Prevent Score change over time?
    A: Absolutely. Your Prevent Score is a snapshot based on your current inputs. By adopting healthier lifestyle habits (improving diet, increasing exercise, quitting smoking, managing stress), you can lower your risk factors and thus improve your score.
  • Q: Is the Prevent Score the same as a credit score?
    A: No, they are entirely different. A credit score measures financial health, while the Prevent Score measures health risk for preventable diseases. They are unrelated concepts.
  • Q: Does the calculator predict if I will get a specific disease?
    A: No, the Prevent Score calculator estimates risk, it does not predict future events with certainty. It highlights potential vulnerabilities based on known risk factors.
  • Q: What should I do if I get a "High Risk" score?
    A: A high score is a signal to take action. Schedule an appointment with your doctor to discuss your results and create a personalized plan to address the identified risk factors. Lifestyle changes and potential medical interventions can significantly reduce your risk.
  • Q: How accurate is the Prevent Score calculator?
    A: The accuracy depends on the quality of your input data and the underlying model. This calculator uses widely accepted risk factors, but it's a simplified model. Individual health is complex and influenced by many factors not included here.
  • Q: Can I use this calculator for my children?
    A: This calculator is generally intended for adults (typically 18+). Risk factors and their impact can differ significantly in children and adolescents. Consult a pediatrician for child-specific health assessments.
  • Q: What are the limitations of the Prevent Score?
    A: Limitations include not accounting for all possible health risks (e.g., specific genetic mutations, environmental exposures, mental health status), relying on self-reported data which may not always be accurate, and using generalized risk thresholds that may not apply perfectly to every individual.

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document.getElementById('cholesterolTotalError').textContent = "; document.getElementById('hdlCholesterolError').textContent = "; document.getElementById('smokingStatusError').textContent = "; document.getElementById('physicalActivityError').textContent = "; document.getElementById('dietQualityError').textContent = "; document.getElementById('familyHistoryHeartDiseaseError').textContent = "; // Validate inputs var age = validateInput('age', 18, 120, true); var bmi = validateInput('bmi', 10, 60); var systolicBp = validateInput('systolicBp', 50, 250, true); var diastolicBp = validateInput('diastolicBp', 30, 150, true); var cholesterolTotal = validateInput('cholesterolTotal', 50, 500, true); var hdlCholesterol = validateInput('hdlCholesterol', 20, 100, true); var smokingStatus = getSelectValue('smokingStatus'); var physicalActivity = getSelectValue('physicalActivity'); var dietQuality = validateInput('dietQuality', 0, 10); var familyHistory = getSelectValue('familyHistoryHeartDisease'); if (age === null || bmi === null || systolicBp === null || diastolicBp === null || cholesterolTotal === null || hdlCholesterol === null || dietQuality === null) { return; // Stop calculation if any numeric input is invalid } // — Point Calculation Logic — var points = 0; var agePoints = 0; var bmiPoints = 0; var bpPoints = 0; var cholesterolPoints = 0; var smokingPoints = 0; var activityPoints = 0; var dietPoints = 0; var familyHistoryPoints = 0; // Age Points (Example thresholds, adjust as needed) if (age >= 60) agePoints = 10; else if (age >= 50) agePoints = 7; else if (age >= 40) agePoints = 4; else if (age >= 30) agePoints = 2; points += agePoints; // BMI Points (Example thresholds) if (bmi >= 30) bmiPoints = 10; // Obese else if (bmi >= 27) bmiPoints = 7; // Overweight else if (bmi >= 25) bmiPoints = 4; // Slightly overweight points += bmiPoints; // Blood Pressure Points (Example thresholds using Systolic as primary) if (systolicBp >= 160 || diastolicBp >= 100) bpPoints = 10; // Stage 2 Hypertension else if (systolicBp >= 140 || diastolicBp >= 90) bpPoints = 7; // Stage 1 Hypertension else if (systolicBp >= 130 || diastolicBp >= 80) bpPoints = 4; // Elevated points += bpPoints; // Cholesterol Points (Example thresholds) var cholesterolRatio = cholesterolTotal / hdlCholesterol; if (cholesterolRatio >= 6.0) cholesterolPoints = 10; // High risk ratio else if (cholesterolRatio >= 5.0) cholesterolPoints = 7; else if (cholesterolRatio >= 4.5) cholesterolPoints = 4; // Also consider absolute values if (cholesterolTotal >= 240) cholesterolPoints += 3; // High total cholesterol if (hdlCholesterol < 40) cholesterolPoints += 3; // Low HDL points += cholesterolPoints; // Smoking Points smokingPoints = smokingStatus * 10; // Non-smoker=0, Former=10, Current=20 (Example scaling) points += smokingPoints; // Physical Activity Points activityPoints = (3 – physicalActivity) * 3; // High=0, Moderate=3, Low=6, Sedentary=9 (Example scaling) points += activityPoints; // Diet Quality Points dietPoints = (10 – dietQuality) * 1; // Poor diet = higher points (Example scaling) points += dietPoints; // Family History Points familyHistoryPoints = familyHistory * 5; // Yes=5, No=0 points += familyHistoryPoints; // Total Points var totalPoints = points; // Risk Category var riskCategory = ""; if (totalPoints <= 15) riskCategory = "Low Risk"; else if (totalPoints <= 30) riskCategory = "Moderate Risk"; else if (totalPoints <= 45) riskCategory = "High Risk"; else riskCategory = "Very High Risk"; // — Display Results — document.getElementById('primaryResult').textContent = riskCategory; document.getElementById('pointsTotal').textContent = 'Total Points: ' + totalPoints.toFixed(0); document.getElementById('ageFactorScore').textContent = 'Age Factor Score: ' + agePoints.toFixed(0); // — Update Table — var tableBody = document.getElementById('riskFactorTable').getElementsByTagName('tbody')[0]; tableBody.innerHTML = ''; // Clear existing rows function addRow(factor, value, pts) { var row = tableBody.insertRow(); var cell1 = row.insertCell(0); var cell2 = row.insertCell(1); var cell3 = row.insertCell(2); cell1.textContent = factor; cell2.textContent = value; cell3.textContent = pts.toFixed(0); } addRow("Age", age, agePoints); addRow("BMI", bmi.toFixed(1), bmiPoints); addRow("Blood Pressure", systolicBp + "/" + diastolicBp + " mmHg", bpPoints); addRow("Cholesterol Profile", "Ratio: " + (cholesterolTotal / hdlCholesterol).toFixed(1) + " (Total: " + cholesterolTotal + ", HDL: " + hdlCholesterol + ")", cholesterolPoints); addRow("Smoking Status", document.getElementById('smokingStatus').options[smokingStatus].text, smokingPoints); addRow("Physical Activity", document.getElementById('physicalActivity').options[physicalActivity].text, activityPoints); addRow("Diet Quality", dietQuality.toFixed(1) + "/10", dietPoints); addRow("Family History", document.getElementById('familyHistoryHeartDisease').options[familyHistory].text, familyHistoryPoints); // — Update Chart — updateChart(totalPoints, agePoints, bmiPoints, bpPoints, cholesterolPoints, smokingPoints, activityPoints, dietPoints, familyHistoryPoints); } function updateChart(total, age, bmi, bp, chol, smoke, activity, diet, family) { var ctx = document.getElementById('preventScoreChart').getContext('2d'); // Destroy previous chart instance if it exists if (window.preventScoreChartInstance) { window.preventScoreChartInstance.destroy(); } // Chart data: Total score vs. individual factor contributions var labels = ['Age', 'BMI', 'Blood Pressure', 'Cholesterol', 'Smoking', 'Activity', 'Diet', 'Family History']; var dataPoints = [age, bmi, bp, chol, smoke, activity, diet, family]; // Adjust dataPoints to sum up to totalPoints for a stacked bar effect if desired, or keep as is for comparison // For simplicity, let's show individual contributions and total var chartData = { labels: labels, datasets: [ { label: 'Points per Factor', data: dataPoints, backgroundColor: [ 'rgba(0, 74, 153, 0.6)', // Primary Blue 'rgba(40, 167, 69, 0.6)', // Success Green 'rgba(255, 193, 7, 0.6)', // Warning Yellow 'rgba(23, 162, 184, 0.6)', // Info Cyan 'rgba(108, 117, 125, 0.6)', // Secondary Gray 'rgba(220, 53, 69, 0.6)', // Danger Red 'rgba(147, 112, 219, 0.6)', // Purple 'rgba(255, 105, 180, 0.6)' // Pink ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)', 'rgba(255, 193, 7, 1)', 'rgba(23, 162, 184, 1)', 'rgba(108, 117, 125, 1)', 'rgba(220, 53, 69, 1)', 'rgba(147, 112, 219, 1)', 'rgba(255, 105, 180, 1)' ], borderWidth: 1 } ] }; // Create the chart window.preventScoreChartInstance = new Chart(ctx, { type: 'bar', // Use bar chart for factor comparison data: chartData, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Points' } }, x: { title: { display: true, text: 'Risk Factor Category' } } }, plugins: { legend: { display: false // Hide legend as labels are on X-axis }, title: { display: true, text: 'Prevent Score Breakdown by Factor' } } } }); } function resetCalculator() { document.getElementById('age').value = 40; document.getElementById('bmi').value = 25; document.getElementById('systolicBp').value = 120; document.getElementById('diastolicBp').value = 80; document.getElementById('cholesterolTotal').value = 200; document.getElementById('hdlCholesterol').value = 50; document.getElementById('smokingStatus').value = 0; document.getElementById('physicalActivity').value = 2; // Default to Moderate document.getElementById('dietQuality').value = 7; document.getElementById('familyHistoryHeartDisease').value = 0; // Clear results and errors document.getElementById('primaryResult').textContent = '–'; document.getElementById('pointsTotal').textContent = 'Total Points: –'; document.getElementById('ageFactorScore').textContent = 'Age Factor Score: –'; var tableBody = document.getElementById('riskFactorTable').getElementsByTagName('tbody')[0]; tableBody.innerHTML = ''; // Clear chart if (window.preventScoreChartInstance) { window.preventScoreChartInstance.destroy(); window.preventScoreChartInstance = null; } var ctx = document.getElementById('preventScoreChart').getContext('2d'); ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); // Clear canvas // Clear error messages document.getElementById('ageError').textContent = ''; document.getElementById('bmiError').textContent = ''; document.getElementById('systolicBpError').textContent = ''; document.getElementById('diastolicBpError').textContent = ''; document.getElementById('cholesterolTotalError').textContent = ''; document.getElementById('hdlCholesterolError').textContent = ''; document.getElementById('smokingStatusError').textContent = ''; document.getElementById('physicalActivityError').textContent = ''; document.getElementById('dietQualityError').textContent = ''; document.getElementById('familyHistoryHeartDiseaseError').textContent = ''; } function copyResults() { var primaryResult = document.getElementById('primaryResult').textContent; var pointsTotal = document.getElementById('pointsTotal').textContent; var ageFactorScore = document.getElementById('ageFactorScore').textContent; var riskCategory = document.getElementById('riskCategory').textContent.split(': ')[1]; var tableRows = document.getElementById('riskFactorTable').getElementsByTagName('tbody')[0].rows; var tableContent = "Risk Factor Breakdown:\n"; for (var i = 0; i < tableRows.length; i++) { tableContent += tableRows[i].cells[0].textContent + ": " + tableRows[i].cells[1].textContent + " (" + tableRows[i].cells[2].textContent + " points)\n"; } var assumptions = "Key Assumptions:\n"; assumptions += "Age: " + document.getElementById('age').value + "\n"; assumptions += "BMI: " + document.getElementById('bmi').value + "\n"; assumptions += "Systolic BP: " + document.getElementById('systolicBp').value + " mmHg\n"; assumptions += "Diastolic BP: " + document.getElementById('diastolicBp').value + " mmHg\n"; assumptions += "Total Cholesterol: " + document.getElementById('cholesterolTotal').value + " mg/dL\n"; assumptions += "HDL Cholesterol: " + document.getElementById('hdlCholesterol').value + " mg/dL\n"; assumptions += "Smoking Status: " + document.getElementById('smokingStatus').options[document.getElementById('smokingStatus').selectedIndex].text + "\n"; assumptions += "Physical Activity: " + document.getElementById('physicalActivity').options[document.getElementById('physicalActivity').selectedIndex].text + "\n"; assumptions += "Diet Quality: " + document.getElementById('dietQuality').value + "/10\n"; assumptions += "Family History: " + document.getElementById('familyHistoryHeartDisease').options[document.getElementById('familyHistoryHeartDisease').selectedIndex].text + "\n"; var resultsText = "— Prevent Score Results —\n\n"; resultsText += "Overall Risk Category: " + primaryResult + " (" + riskCategory + ")\n"; resultsText += pointsTotal + "\n"; resultsText += ageFactorScore + "\n\n"; resultsText += tableContent + "\n"; resultsText += assumptions; try { navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }, function(err) { console.error('Could not copy text: ', err); // Fallback for older browsers or environments where clipboard API is restricted var textArea = document.createElement("textarea"); textArea.value = resultsText; 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 ? 'successful' : 'unsuccessful'; alert('Fallback: Copying text was ' + msg); } catch (err) { alert('Fallback: Oops, unable to copy'); } document.body.removeChild(textArea); }); } catch (e) { console.error("Clipboard API not available or permission denied.", e); alert("Clipboard API not available. Please copy manually."); } } // Initial calculation on load if values are present document.addEventListener('DOMContentLoaded', function() { // Add Chart.js library dynamically var script = document.createElement('script'); script.src = 'https://cdn.jsdelivr.net/npm/chart.js@3.7.0/dist/chart.min.js'; script.onload = function() { // Initial calculation after chart library is loaded calculatePreventScore(); }; document.head.appendChild(script); // Add event listeners for real-time updates (optional, can be performance intensive) var inputs = document.querySelectorAll('.loan-calc-container input, .loan-calc-container select'); for (var i = 0; i < inputs.length; i++) { inputs[i].addEventListener('input', calculatePreventScore); inputs[i].addEventListener('change', calculatePreventScore); } });

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