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Record W4416453975 · doi:10.1177/21522715251394917

Posttraumatic Stress Disorder and Physiological Response in First Responders During Virtual Reality Exposure

2025· article· en· W4416453975 on OpenAlexaff
Hélder António, Catarina Barros, Maria Castro, Jorge Oliveira, Pedro Gamito, Stéphane Bouchard, Ricardo J. Pinto

Bibliographic record

VenueCyberpsychology Behavior and Social Networking · 2025
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsUniversité du Québec en Outaouais
FundersFundação para a Ciência e a Tecnologia
KeywordsSkin conductanceHeart rate variabilityPosttraumatic stressVirtual realityPsychophysiologyHeart rateVirtual Reality Exposure TherapyTask (project management)

Abstract

fetched live from OpenAlex

First responders (FRs) are routinely exposed to traumatic events, increasing risk for posttraumatic stress disorder (PTSD). This study compared heart rate variability (HRV) and skin conductance level (SCL) between FRs with and without probable PTSD at baseline and during a virtual reality (VR) task. Eighty-four FRs completed questionnaires and physiological assessments. Participants with probable PTSD showed significantly lower baseline HRV, indicating reduced parasympathetic modulation. No group differences emerged for HRV during VR or for SCL at either point. The results confirm reduced HRV at rest in PTSD, but further work is needed to clarify why this difference was not observed during the task and why SCL showed no group effects. To advance understanding of these results, future studies should include larger samples, longer baselines, recovery phases, and clinical interviews.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.078
GPT teacher head0.395
Teacher spread0.317 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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