The Loneliness Epidemic Among Young Adults: A Novel Multidimensional Framework for Understanding, Measuring, and Intervening in Social Disconnection

The Loneliness Epidemic Among Young Adults: A Novel Multidimensional Framework for Understanding, Measuring, and Intervening in Social Disconnection | 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 Research Article The Loneliness Epidemic Among Young Adults: A Novel Multidimensional Framework for Understanding, Measuring, and Intervening in Social Disconnection Safwan Hungund This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8185344/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 Loneliness among young adults has reached epidemic proportions, with 61% of individuals aged 18-25 reporting serious loneliness and 30% experiencing it daily. This paper presents a comprehensive investigation into this crisis through the development of novel theoretical frameworks and mathematical models. We introduce the Social Connection Decay Model (SCDM), which quantifies the temporal dynamics of social relationship deterioration, and the Loneliness Intervention Efficacy Index (LIEI), which provides a standardized metric for evaluating intervention effectiveness. Our analysis of 148 prospective studies reveals that loneliness increases mortality risk by 50% (OR = 1.50, 95% CI: 1.42-1.59), comparable to smoking 15 cigarettes daily. We propose the Integrated Multidimensional Loneliness Framework (IMLF), synthesizing structural, functional, and digital dimensions of social connection. Using meta-analytic data from 308,849 participants , we demonstrate that complex measures of social integration show the strongest protective effects (OR = 1.91, 95% CI: 1.63-2.23). The paper develops a novel taxonomy of loneliness interventions with corresponding mathematical efficacy models, achieving standardized mean differences of-0.19 for depression reduction and-0.10 for loneliness reduction. We present policy recommendations grounded in our Dynamic Social Infrastructure Model (DSIM) and provide computational algorithms for loneliness risk stratification. This research establishes a comprehensive , evidence-based foundation for addressing the loneliness epidemic through systematic, measurable interventions across multiple societal domains. Loneliness epidemic young adults social connection intervention frameworks mathematical modeling public health policy social isolation mental health cardiovascular health digital technology 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. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-8185344","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":549703686,"identity":"683d2dc7-0f9f-46f2-81f3-f572f89310d7","order_by":0,"name":"Safwan Hungund","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+ElEQVRIiWNgGAWjYFACxgdA4gCEzVMBJJiZGwhoYTZA0nIGJMBIihbeNrC9+LXItx9mk/i5407idv41Zg/ezquN5m8HavlRsQ2nFoMzyWySvWeeJe6c8cbccO6247kzDjM2MPacuY1bC0P+sRu8bYcTN9w4YybNu+1YbgNQCzNjG24t8v2P2W7+hWuZcyx3PiEtDDeS2W6DbTnfA9TSUJO7gZAWgxuP2X/Lth023nCDrUxyzrEDuRuBWg7i84t8fzKz4du2w7Ibzh/eJvGmpi533vnDBx/8qMDjMDiQSACRh8HsA0SoBwJ+sLo64hSPglEwCkbBiAIA37VlCZFQpHUAAAAASUVORK5CYII=","orcid":"","institution":"Ramrao Adik Institute of Technology, D. 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