ORIGINAL RESEARCH article
Front. Psychol.
Sec. Health Psychology
Volume 16 - 2025 | doi: 10.3389/fpsyg.2025.1600013
This article is part of the Research TopicNovel Intervention Models Transcending Borders for Stress Management - Volume IIIView all 9 articles
Mental health in the "era" of Artificial Intelligence: technostress and the perceived impact on anxiety and depressive disorders -an SEM analysis
Provisionally accepted
- West University of Timișoara, Timișoara, Romania
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The aim of the current study is to analyze the relationship between mental health and the accelerated implementation and use of Artificial Intelligence (AI) in Romanian society. The perceived impact of the changes brought by AI technology was measured using the Technostress creators questionnaire, while mental health assessed from the point of view of anxiety and depression disorders was measured using the DASS-21R scale. The analyses performed, using the Structural Equation Modeling (SEM), supported the proposed model, confirming the two hypotheses tested: anxiety and depression symptoms are associated with technostress (AI). However, due to the cross-sectional nature of the study, the findings should be interpreted as associations rather than causal relationships. The present study makes a significant contribution to the specialized literature, in a situation where the literature is faced with large gaps in studies on the topic addressed in this research.
Keywords: artificial intelligence, Technostress, Depression, Anxiety, Mental Health
Received: 25 Mar 2025; Accepted: 14 May 2025.
Copyright: © 2025 Litan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Daniela Elena Litan, West University of Timișoara, Timișoara, Romania
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