Transparency:

Your responses to the survey:
You answered 12 questions about your healthy habits, covering areas such as exercise, nutrition, eating behaviours, and lifestyle/mental health. Each question is part of a broader concept (e.g., Exercise Habits) and a sub-concept (e.g., Aerobic Exercise).

Assigning points to your answers:
Each answer is assigned a numerical score from 0 to 3. These scores are multiplied by the weight of each question, reflecting the relative importance of the habit for overall healthy lifestyle outcomes.

Simulating your overall score:
To account for variability in possible behaviours, the tool uses a simulation approach. Each answer has a probability of being chosen, and the tool runs 500,000 simulations to calculate a weighted total score for your healthy habits.

Calculating your final score:
The total weighted points across all questions are scaled to a 0–100 range. This number represents how closely your habits align with the ideal healthy habit profile, considering both the frequency of each habit and its relative importance.

Score ranges and Q(s):
The score ranges for Low, Medium, and High categories are based on percentiles (Q values) derived from the population of collected scores:

Low range: scores up to 50.01 (≤Q40)

Medium range: scores between 50.01 and 61.19 (Q40–Q80)

High range: scores above 61.19 (≥Q80)

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This tool, including its methodology, data, algorithms, and scoring system, is the intellectual property of the developer. Unauthorized use, reproduction, distribution, or commercial exploitation of this tool, in whole or in part, is strictly prohibited without the express written permission of the developer.

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Appendix:

weights = [2.65, 2, 2, 4.09, 4.09, 3.5, 3.5, 3.5, 3, 2, 1.5, 1.5]

probabilities = [[0.30, 0.35, 0.20, 0.15], [0.45, 0.30, 0.15, 0.10], [0.10, 0.20, 0.30, 0.40], [0.25, 0.35, 0.25, 0.15], [0.20, 0.35, 0.30, 0.15], [0.20, 0.30, 0.30, 0.20], [0.40, 0.30, 0.20, 0.10], [0.15, 0.35, 0.30, 0.20], [0.40, 0.30, 0.20, 0.10], [0.20, 0.30, 0.25, 0.25], [0.50, 0.25, 0.15, 0.10], [0.15, 0.25, 0.30, 0.30]]

scores = [[0, 1, 2, 3], [0, 1, 2, 3], [3, 2, 1, 0], [3, 2, 1, 0], [3, 2, 1, 0], [0, 1, 2, 3], [3, 2, 1, 0], [3, 2, 1, 0], [3, 2, 1, 0], [3, 2, 1, 0], [3, 2, 1, 0], [0, 1, 2, 3]]