Annotations

 Loneliness and social isolation are significant psychosocial risk factors with well-documented negative effects on both mental and physical health. Although closely related, they represent distinct phenomena: loneliness reflects the subjective experience of insufficient social relationships, whereas social isolation refers to an objective lack of social contact. The aim of the research focus during doctoral studies is to examine the prevalence, determinants, and consequences of loneliness and social isolation in at-risk population groups, including individuals with mental disorders, elderly, young adults, and persons exposed to elevated levels of social stress. Particular attention is paid to their associations with psychopathology, functional impairment, and quality of life, as well as to possibilities for early identification and intervention. The findings may contribute to the development of targeted prevention strategies and mental health support for vulnerable populations.

 The dissertation focuses on the experimental evaluation of the effectiveness of deliberately designed organizational interventions aimed at shaping digital boundaries between work and private life in hybrid work settings. The study is grounded in the assumption that permanent digital availability increases the spillover between work and private roles, which in turn negatively affects employees’ mental well-being and perceived stress. The interventions represent intentionally implemented organizational measures (e.g., rules of digital availability, adjustments to communication practices, and managerial norms) designed to reduce the extent of work–private life role spillover. In addition to testing their causal effects, the dissertation examines the role of organizational regulators (e.g., existing norms of digital availability, degree of autonomy, managerial support) and individual regulators (e.g., self-regulation, resilience) that may moderate the effectiveness of the interventions. The research will be conducted using an experimental or quasi-experimental design with repeated measurements over time in hybrid work environments. The findings are expected to contribute to the development of intervention-oriented knowledge on digital work boundaries and to inform the design of context-sensitive solutions supporting sustainable hybrid work.