Mental health across contexts: a cross-dataset study covering medical students, quarantined individuals, and psychiatric disordered subjects | 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 Mental health across contexts: a cross-dataset study covering medical students, quarantined individuals, and psychiatric disordered subjects Abdullah Nayem Wasi Emran, A. B. M. Alim Al Islam This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5208909/v2 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 22 Jul, 2025 Read the published version in Humanities and Social Sciences Communications → Version 2 posted You are reading this latest preprint version Show more versions Abstract Mental health research has traditionally focused on isolated contexts, such as medical education, quarantine, or clinical settings, without examining how demographic factors such as age, gender, and education influence mental health across different populations and settings. This lack of cross-context comparison limits our understanding of how demographic and situational factors interact to shape mental health outcomes. To address this gap, we conduct a comparative cross dataset analysis using three distinct datasets—medical students, quarantined individuals, and psychiatric disordered subjects—analyzing them separately before drawing cross-context comparisons. Through statistical and network-based analyses, we explore how demographic factors shape mental health outcomes in these varied contexts. While isolated analyses reveal important patterns—such as women experiencing heightened stress during quarantine and medical students displaying increased empathy—our comparative approach uncovers novel insights. For instance, the impact of age on mental health differs significantly between quarantine and clinical settings. Additionally, while higher education is generally linked to better mental health, this association does not hold for medical students. These findings highlight the value of cross-dataset analysis in providing richer insights into how external factors impact mental health across diverse contexts, offering valuable guidance for future research and interventions. Health sciences/Health care Health sciences/Health care/Public health Health sciences/Health care/Quality of life Mental health Cross-dataset analysis Demographic factors Medical students Quarantine Psychiatric disorders Age Gender Education Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Published Journal Publication published 22 Jul, 2025 Read the published version in Humanities and Social Sciences Communications → Version 2 posted You are reading this latest preprint version Show more versions 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. 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