Mental Health, Anxiety, and Emerging Technologies: Assessment, Social Implications, and Interventions

A special issue of Societies (ISSN 2075-4698). This special issue belongs to the section "The Social Nature of Health and Well-Being".

Deadline for manuscript submissions: 30 November 2026 | Viewed by 805

Special Issue Editors


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Guest Editor
Department of Health Sciences, Faculty of Health Sciences, University of Burgos, Paseo de los Comendadores s/n. 09001 Burgos, Spain
Interests: test anxiety; vrtual reality; biofeedback; assessment and intervention in anxiety

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Guest Editor
Department of Educational Sciences, Faculty of Health Sciences, University of Burgos, Paseo de los Comendadores s/n. 09001 Burgos, Spain
Interests: autism spectrum disorders; attention deficit disorder with or without hyperactivity; eating disorders; mental health/pathology; family and psychopathology; disability

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Guest Editor
School of Psychology, Sergio Arboleda University-Santa Marta, Santa Marta, Colombia
Interests: clinical psychology; cognitive psychology; behavioural science; childhood obesity and anxiety

Special Issue Information

Dear Colleagues,

This Special Issue focuses on the application of emerging technologies—such as artificial intelligence (AI), virtual reality (VR), 360° video, biofeedback, and neurofeedback—in the field of mental health. The aim is to explore how these tools can contribute to the assessment, prevention, and intervention of mental health problems, with a particular emphasis on anxiety disorders, one of the most prevalent conditions worldwide.

The scope of this issue is interdisciplinary, bridging psychology, psychiatry, neuroscience, education, public health, and social sciences. Contributions are expected to examine how digital and technological innovations can improve diagnostic accuracy, enable personalized and immersive therapeutic interventions, and foster resilience and well-being in diverse populations.

The purpose of this Special Issue is to provide a platform for advancing both research and practice in technology-assisted mental healthcare. By highlighting empirical evidence, conceptual discussions, and systematic reviews, it seeks to critically assess the opportunities and challenges posed by the integration of emerging technologies in clinical, educational, and community contexts.

Topics of interest include, but are not limited to, the following:

  • AI-based tools for mental health assessment and early detection of anxiety.
  • VR and 360° video for exposure therapy, relaxation, and preventive interventions.
  • Biofeedback and neurofeedback applications for self-regulation and anxiety treatment.
  • Digital platforms for prevention, resilience training, and mental health literacy.
  • Ethical, cultural, and accessibility considerations of technology-based mental health solutions.

Through this Special Issue, Societies will contribute to shaping an evidence-based understanding of how emerging technologies can enhance the assessment, prevention, and intervention of mental health problems, offering new insights for researchers, practitioners, and policymakers alike.

Prof. Dr. María Camino Escolar-Llamazares
Prof. Dr. María Ángeles Martínez-Martín
Dr. Andrea Liliana Ortíz-González
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • mental health
  • anxiety disorders
  • emerging technologies
  • assessment
  • intervention
  • prevention
  • artificial intelligence (AI)
  • virtual reality (VR)
  • biofeedback and neurofeedback
  • digital mental health

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Published Papers (1 paper)

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Research

17 pages, 283 KB  
Article
Descriptive Study on State and Trait Anxiety Levels in University Students and Their Potential Influencing Factors
by Itziar Quevedo-Bayona, María-Camino Escolar-Llamazares, María-Ángeles Martínez-Martín and Francisco Luis Adell Carrasco
Societies 2025, 15(10), 287; https://doi.org/10.3390/soc15100287 - 14 Oct 2025
Viewed by 515
Abstract
While anxiety can be adaptive at moderate levels, it may also develop into a clinical disorder when it becomes excessively intense. In the university academic environment, such disorders not only affect the students’ academic performance but also their overall well-being. This study aims [...] Read more.
While anxiety can be adaptive at moderate levels, it may also develop into a clinical disorder when it becomes excessively intense. In the university academic environment, such disorders not only affect the students’ academic performance but also their overall well-being. This study aims to analyze anxiety levels among students at the University of Burgos and identify factors that may influence the manifestation of anxiety. The State-Trait Anxiety Inventory (STAI) was administrated digitally to 302 students (74 men, 228 women) from the University of Burgos via Microsoft Forms, following a cross-sectional quantitative research design. The study revealed high levels of both state and trait anxiety among the student sample. While trait anxiety levels were similar between genders, women tended to report higher state anxiety. Students in technical fields and those fully dedicated to their studies exhibited higher trait anxiety. Additionally, age, academic discipline, and living away from one’s hometown significantly predicted higher state anxiety. Age and exclusive academic dedication also predicted higher trait anxiety. These findings emphasize the importance of addressing anxiety differences across student subgroups and providing targeted support during this critical developmental period. Full article
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