Sociological, Legal, and Psychological Aspects of Social Protection for Individuals Vulnerable to Suicide Due to Psychological Pressure
Abstract
This study examines how sociological, legal, and psychological systems respond to individuals vulnerable to suicide due to sustained psychological distress, particularly in the wake of the COVID-19 pandemic. The aim is to identify systemic shortcomings in mental health protection and to propose an integrated policy-practice approach for enhancing preventive measures. The study focuses on deficiencies in healthcare accessibility, the legal recognition of psychological vulnerability, and the fragility of community-based support systems. It also considers the accelerating role of digitalization, particularly the emergence of telepsychology and online support platforms. Methodologically, the paper adopts a qualitative meta-analytical approach, drawing upon international legal precedents, sociological theories of social isolation, and psychological research related to suicide risk factors. Comparative case studies from Central Asia, North America, and Europe are employed to assess how different countries structure suicide prevention within policy and practice domains. Instruments such as the SAD PERSONS scale and the Columbia-Suicide Severity Rating Scale are reviewed for their utility in standardizing documentation and early risk detection. The findings reveal significant policy gaps in both preventative care and legal accountability. Many existing systems remain reactive, with delayed responses to early signs of psychological distress. Integrated, rights-based frameworks—those combining legal protection, ethical guidance, and digital innovations—show greater promise in supporting vulnerable individuals. The study concludes by proposing a multidimensional framework that informs both public policy and professional practice. A paradigm shift toward proactive, inclusive, and ethically grounded models of suicide prevention is essential to address the evolving challenges facing at-risk populations in both global and local contexts.