Evidence map›Paper›PMID 40524827›Full record

ArticleFrontiers in psychology2025

Mental health in the "era" of artificial intelligence: technostress and the perceived impact on anxiety and depressive disorders-an SEM analysis.

Daniela-Elena Lițan

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Daniela-Elena LițanDepartment of Psychology, West University of Timișoara, Timișoara, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: 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. Given the growing integration of AI technologies, understanding their psychological impact is increasingly relevant. Methods: The perceived impact of the changes brought by AI technology was measured using the Technostress Creators Questionnaire. Mental health, assessed in terms of anxiety and depression disorders, was measured using the Depression Anxiety Stress Scales (DASS-21R). Data were analyzed using Structural Equation Modeling (SEM). Results: The results supported the proposed model and confirmed both tested hypotheses, indicating that anxiety and depression symptoms are significantly associated with AI-related technostress. Discussion/Conclusion: Due to the cross-sectional design, the findings should be interpreted as associative rather than causal. Nevertheless, this study provides an important contribution to the literature, addressing a notable gap in research regarding the psychological implications of AI adoption in society.

Indexed as

anxietyartificial intelligencedepressionmental healthtechnostress

Identifiers

PMID40524827
PMCPMC12169247

What Socratic holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.