Evidence map›Paper›PMID 41466805›Full record

ArticleNeurobiology of stress2025

Virtual stress testing: Analyzing endocrine, metabolic, cardiovascular, and psychological responses to the TSST-VR.

Eva Fellinger, Tom Brandt, Andrea Schittenhelm, Eric Quarg, Matthias Pröll, Gregor Domes, Annette Schmidt

Abstract read
In one paragraph

Article in Neurobiology of stress, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

7 authors.

Eva Fellingerdtec.bw, NextGenerationEU Project Smart Health Lab, University of the Bundeswehr Munich, Germany.
Tom BrandtUniversity of the Bundeswehr Munich, Germany, Institute of Sport Sciences, Germany.
Andrea SchittenhelmUniversity of the Bundeswehr Munich, Germany, Institute of Sport Sciences, Germany.
Eric QuargUniversity of the Bundeswehr Munich, Germany, Institute of Sport Sciences, Germany.
Matthias PröllUniversity of the Bundeswehr Munich, Germany, Institute of Sport Sciences, Germany.
Gregor DomesBiological and Clinical Psychology, Department of Psychology, University of Trier, Johanniterufer 15, 54290, Trier, Germany.
Annette Schmidtdtec.bw, NextGenerationEU Project Smart Health Lab, University of the Bundeswehr Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Trier Social Stress Test (TSST) is a widely used tool for inducing and measuring stress responses in a controlled environment. In this study, we aimed to explore the effectiveness of a virtual TSST (TSST-VR) in eliciting stress responses across multiple physiological and psychological markers. Methods: A sample of 24 participants underwent the TSST-VR, during which salivary cortisol, alpha-amylase (AA), blood glucose levels, heart rate (HR), root mean square of successive differences (RMSSD) as a measure of heart rate variability (HRV), and subjective stress ratings (NRS) were collected at multiple time points. Results: In a baseline-to-peak analysis, significant increases were observed in HR (M Conclusion: These findings suggest that the TSST-VR can effectively induce measurable stress responses and may provide insights into individual differences in physiological and metabolic stress reactions. The study highlights the potential of virtual stress paradigms in stress research and underscores the advantages of a virtual setting in terms of standardization and economic considerations.

Indexed as

Alpha-amylaseBlood glucoseCortisolHeart rateStress responseTrier social stress testVirtual reality

Identifiers

PMID41466805
PMCPMC12744532

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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 OpenQuestion graph.