{"id":5008,"date":"2025-10-22T20:46:42","date_gmt":"2025-10-22T20:46:42","guid":{"rendered":"https:\/\/biotonix.com\/?p=5008"},"modified":"2026-02-17T20:57:04","modified_gmt":"2026-02-17T20:57:04","slug":"what-really-works-study","status":"publish","type":"post","link":"https:\/\/biotonix.com\/en\/what-really-works-study\/","title":{"rendered":"What Really Works?"},"content":{"rendered":"
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Micha\u00ebl Rioux, Data Scientist, M.Sc.
Daniel Braun, Data Scientist, Ph.D.<\/p>\n

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Executive Summary<\/h2>\n

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Our longitudinal analysis of wellness data over a three-year period (2022-2025) aimed to identify the drivers of wellbeing and BIOTONIX Health<\/strong> platform engagement. Using Linear Mixed-Effects Models, we studied the wellbeing-engagement relationships of 1,628 corporate users on four key health domains: Posture, Fitness, Mental, and PsychoSocial health. Our main analytical findings are reported in Table 1.<\/p>\n

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The analysis revealed that a user's health state is highly stable; the strongest predictor of any future score was the score from the previous quarter, which underscores that meaningful change requires consistent, long-term effort<\/strong>. Beyond specific behaviors, we also uncovered a natural, albeit modest, upward trend in both Fitness and Mental health scores over time, suggesting that sustained participation in the wellness platform itself contributes to positive outcomes<\/strong>.<\/p>\n

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The most significant driver of positive change, above and beyond the general time effect, was consistent physical activity<\/strong>. A positive interaction between externally logged exercise and time was the only behavior associated with longitudinal improvements in both Fitness and Mental scores. Furthermore, physical activity creates a powerful feedback loop. Users who log external exercise are far more likely to engage with other platform features, like watching educational videos, and vice-versa, making exercise the key \u00ab gateway \u00bb to broader engagement<\/strong>.<\/p>\n

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Conversely, some interventions showed different patterns. The structured posture-correction (BTX) programs, while clinically validated, did not produce a measurable change in Posture scores over time, likely due to low adherence to the demanding protocol in a corporate setting. Similarly, users primarily turned to Meditation to manage bad moods, using it for short-term emotional regulation rather than as a tool for long-term mental improvement.<\/strong><\/p>\n

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Overall, the primary strategic implication is to prioritize and foster the habit of consistent physical activity. This not only directly improves key health outcomes beyond the baseline improvement seen over time, but also drives a positive feedback loop of wider platform engagement.<\/p>\n

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Finding<\/strong><\/td>\nSupporting Evidence & Magnitude<\/strong><\/td>\n<\/tr>\n
1. Health States are Highly Stable<\/strong><\/td>\nA user's previous score was the single strongest predictor across all domains (e.g., +22 points for Fitness, +14 for Mental).<\/td>\n<\/tr>\n
2. External Exercise is the Primary Driver of Improvement<\/strong><\/td>\nThe interaction of External Exercise and Time was the only behavior significantly associated with longitudinal gains in Fitness<\/strong> (+1 points\/3 months) and Mental<\/strong> (+0.5 points\/3 months) scores.<\/td>\n<\/tr>\n
3. Sustained Engagement Has Inherent Benefits (Time Effect)<\/strong><\/td>\nA baseline increase over time was observed in Fitness<\/strong> (+0.66 points\/3 months) and Mental<\/strong> (+0.28 points\/3 months) scores, independent of specific activities.<\/td>\n<\/tr>\n
4. Platform Activities Create a Positive Feedback Loop<\/strong><\/td>\n- BTX Programs \u2794 External Exercise (+13 sessions) - Videos Watched \u2794 External Exercise (+12 sessions) - External Exercise \u2794 BTX Programs (+3 sessions) - Corporate League \u2794 Videos Watched (+ 2 videos)<\/td>\n<\/tr>\n
5. Demanding Interventions Have Low Adherence<\/strong><\/td>\nThe clinically robust BTX Programs for posture showed no significant longitudinal improvement in Posture<\/strong> scores. Cross-sectional analysis revealed users were more likely to stop using time-consuming features like the BTX Program before observing quantifiable results.<\/td>\n<\/tr>\n
6. Mindfulness is Used Reactively for Mood Regulation<\/strong><\/td>\nBad Mood was a significant predictor of time-consuming activities like Meditation (+0.04 sessions). Conversely, engaging in more breathing exercises was associated with a 0.25-point increase in logging a bad mood.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

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Table 1: <\/strong>Main Analytical Findings of the Longitudinal Study.<\/p>\n

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Introduction: The Wellbeing Feedback Loop<\/h2>\n

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Our analysis was structured around two bidirectional questions:<\/p>\n

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