Evidence map›Paper›PMID 42809480›Full record

ArticlePsychotherapy and psychosomatics2026

Digital Rehabilitation Using Immersive Virtual Reality for Post-COVID Fatigue: A Double-Blind Randomized Controlled Trial.

Hannah Lange, Alexander K Schuster, Stephanie Vock, Wolfgang Eich, Hans-Christoph Friederich, Jonas Tesarz

Abstract read
In one paragraph

Article in Psychotherapy and psychosomatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hannah LangeDepartment of General Internal Medicine and Psychosomatics, Heidelberg University, Heidelberg, Germany.
Alexander K SchusterDepartment of Ophthalmology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
Stephanie VockDepartment of General Internal Medicine and Psychosomatics, Heidelberg University, Heidelberg, Germany.
Wolfgang EichDepartment of General Internal Medicine and Psychosomatics, Heidelberg University, Heidelberg, Germany.
Hans-Christoph FriederichDepartment of General Internal Medicine and Psychosomatics, Heidelberg University, Heidelberg, Germany.
Jonas TesarzDepartment of General Internal Medicine and Psychosomatics, Heidelberg University, Heidelberg, Germany, jonas.tesarz@unimedizin-mainz.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPost-COVID fatigue is a common and disabling condition with few proven treatments. Immersive virtual reality (VR) exercise therapy may offer a novel rehabilitation approach. We evaluated its efficacy and safety.

methodsIn this single-center, double-blind, parallel-group trial, German adults meeting WHO criteria for post-COVID syndrome, with moderate-to-severe fatigue (Fatigue Severity Scale [FSS] ≥ 36) and no comorbidities better explaining fatigue were randomly assigned (1:1) to a supervised VR exercise therapy or to a supervised conventional exercise therapy. Both interventions comprised 12 sessions of 45 min over 6 weeks. The primary endpoint was change in FSS from baseline to post-intervention, analyzed in the intention-to-treat population (DRKS00032059), and follow-ups took place after 3 and 12 months post-treatment.

resultsBetween March 2023 and May 2024, 100 participants were randomized (1:1) to a VR exercise group (VR-EG) or a conventional exercise group (Con-EG). Fatigue severity improved in both groups (VR-EG: -8·29; Con-EG: -5·27), with no significant between-group difference (mean difference: 3.03; 95% CI: -1·02 to 7.06). Only the VR-EG exceeded the established minimal important difference (≥6.3 points). Symptom worsening was less frequent with VR-EG than with Con-EG (9% vs. 23%). Patient Global Impression of Change ratings favored VR-EG (overall improvement: 76.7% vs. 56.5%). Improvements were sustained at 3 and 12 months. Descriptively, women showed greater reductions in fatigue severity than men, especially in the VR-EG. Adverse events were mild and transient and most commonly included headaches, nausea, vertigo, and musculoskeletal pain.

conclusionImmersive VR exercise therapy did not significantly outperform an active comparator on the primary endpoint. However, the VR-EG reached the minimal important difference for fatigue at the group level, showed fewer cases of symptom worsening, and reported more favorable global improvement. Considering the limited treatment options available for post-COVID fatigue, these findings indicate a promising clinical signal warranting confirmation in larger, multicenter trials.

Indexed as

Chronic fatigue syndromeExergamingFatigue Severity ScaleImmersive exercise therapyNeuromuscular rehabilitationPhysical activity interventionPost-COVID fatigueRandomized controlled trialSafety and efficacyVirtual reality exercise therapy

Identifiers

PMID42809480
PMCPMC13713047

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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.