Symbiotic Lifestyle-Cognition Dynamics: A Multi-Modal Analysis of Interaction Effects on Human Memory Performance

2025 · doi:10.21203/rs.3.rs-8391966/v1
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This study found symbiotic interactions between physiological responses, cognitive states, and lifestyle factors significantly predict memory performance, with reaction time-cognition coupling and stress-screen time interaction being key predictors.

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This preprint analyzed a large-scale dataset of 80,000 adults (ages 18–59) to determine how multiple lifestyle factors (sleep duration, stress, screen time, exercise, caffeine intake) interact with physiological and cognitive measures to predict memory performance. Using machine learning models with interaction-term analysis, the study found strong “symbiotic” coupling, with reaction time and cognitive scores emerging as dominant predictors (r = 0.559, p < 0.001) and gradient boosting achieving higher explained variance (R² = 0.664) than additive models. Four distinct cognitive-lifestyle phenotypes were identified via unsupervised clustering, including a notable stress × screen time interaction as the second-most critical feature (importance = 0.101). The paper is a Research Square preprint and not peer reviewed, limiting the level of scrutiny applied to its methods and conclusions. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Traditional cognitive science approaches examine lifestyle factors (sleep, stress, diet, exercise) as independent predictors of cognitive performance. However, emerging evidence suggests these factors operate as symbiotic systems with non- linear interaction effects that remain poorly understood. We analyzed a large-scale dataset of 80,000 participants (ages 18–59) to investigate how lifestyle factors interact to influence memory performance. Using machine learning approaches com- bined with interaction term analysis, we identified symbiotic cou- pling patterns between physiological response metrics (reaction time), cognitive state (cognitive scores), and lifestyle variables (sleep duration, stress, screen time, exercise, caffeine intake). Our analysis revealed strong symbiotic interactions, with the reaction time and cognitive score coupling emerging as the dom- inant predictor of memory performance ( r  = 0.559, p <  0.001). Gradient boosting models achieved 66.4% explained variance ( R 2  = 0.664) in memory test scores, significantly outperforming additive models. We identified four distinct cognitive-lifestyle phenotypes through unsupervised clustering, each characterized by unique interaction signatures. The stress level × screen time interaction (feature importance = 0.101) emerged as the second-most critical factor, suggesting a previously underappreciated synergistic pathway. These findings demonstrate that lifestyle factors operate through symbiotic coupling mechanisms rather than additive ef- fects. The identification of interaction-based phenotypes provides a novel framework for personalized cognitive interventions and challenges the reductionist paradigm in cognitive health research.
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Symbiotic Lifestyle-Cognition Dynamics: A Multi-Modal Analysis of Interaction Effects on Human Memory Performance | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Symbiotic Lifestyle-Cognition Dynamics: A Multi-Modal Analysis of Interaction Effects on Human Memory Performance Akshay Balaji This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8391966/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Traditional cognitive science approaches examine lifestyle factors (sleep, stress, diet, exercise) as independent predictors of cognitive performance. However, emerging evidence suggests these factors operate as symbiotic systems with non- linear interaction effects that remain poorly understood. We analyzed a large-scale dataset of 80,000 participants (ages 18–59) to investigate how lifestyle factors interact to influence memory performance. Using machine learning approaches com- bined with interaction term analysis, we identified symbiotic cou- pling patterns between physiological response metrics (reaction time), cognitive state (cognitive scores), and lifestyle variables (sleep duration, stress, screen time, exercise, caffeine intake). Our analysis revealed strong symbiotic interactions, with the reaction time and cognitive score coupling emerging as the dom- inant predictor of memory performance ( r = 0.559, p < 0.001). Gradient boosting models achieved 66.4% explained variance ( R 2 = 0.664) in memory test scores, significantly outperforming additive models. We identified four distinct cognitive-lifestyle phenotypes through unsupervised clustering, each characterized by unique interaction signatures. The stress level × screen time interaction (feature importance = 0.101) emerged as the second-most critical factor, suggesting a previously underappreciated synergistic pathway. These findings demonstrate that lifestyle factors operate through symbiotic coupling mechanisms rather than additive ef- fects. The identification of interaction-based phenotypes provides a novel framework for personalized cognitive interventions and challenges the reductionist paradigm in cognitive health research. Biological sciences/Computational biology and bioinformatics Biological sciences/Neuroscience Biological sciences/Psychology Social science/Psychology Symbiotic systems cognitive performance lifestyle interactions machine learning systems neuroscience personalized medicine Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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Gradient boosting models achieved 66.4% explained variance (\u003cem\u003eR\u003c/em\u003e\u003csup\u003e2\u003c/sup\u003e = 0.664) in memory test scores, significantly outperforming additive models. We identified four distinct cognitive-lifestyle phenotypes through unsupervised clustering, each characterized by unique interaction signatures. The stress level \u003cem\u003e×\u003c/em\u003e screen time interaction (feature importance = 0.101) emerged as the second-most critical factor, suggesting a previously underappreciated synergistic pathway.\u003c/p\u003e\n\u003cp\u003eThese findings demonstrate that lifestyle factors operate through symbiotic coupling mechanisms rather than additive ef- fects. 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