Evidence map›Paper›PMID 35648477›Full record

SynthesisJournal of medical Internet research2022

Cybersickness Variability by Race: Findings From 6 Studies and a Mini Meta-analysis.

Alison Jane Martingano, Ellenor Brown, Sydney H Telaak, Alexander P Dolwick, Susan Persky

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 17% of its field
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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Alison Jane MartinganoSocial and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0001-8407-8611
Ellenor BrownOffice of Science and Engineering Laboratories, US Food and Drug Administration, Silver Spring, MD, United States.ORCID 0000-0003-0822-5901
Sydney H TelaakSocial and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0003-1468-299X
Alexander P DolwickSocial and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0003-0364-1842
Susan PerskySocial and Behavioral Research Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States.ORCID 0000-0002-7768-5744
National Institutes of Health · USUnited States Food and Drug Administration · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the influx of medical virtual reality (VR) technologies, cybersickness has transitioned from a nuisance experienced during leisure activities to a potential safety and efficacy concern for patients and clinicians. To improve health equity, it is important to understand any potential differences in cybersickness propensity among demographic groups, including racial groups.

objectiveThis study aims to explore whether cybersickness propensity differs across racial groups.

methodsWe collected self-reported cybersickness ratings from 6 racially diverse independent samples within 1 laboratory group (N=931). In these studies, the participants were asked to perform tasks in VR such as traversing environments, pointing at and selecting objects, and interacting with virtual humans.

resultsSignificant racial differences in cybersickness were found in 50% (3/6) of studies. A mini meta-analysis revealed that, on average, Black participants reported approximately one-third of SD less cybersickness than White participants (Cohen d=-0.31; P<.001), regardless of the nature of the VR experience. There was no overall difference in reported cybersickness between the Asian and White participants (Cohen d=-0.11; P=.51).

conclusionsRacial differences in cybersickness indicate that researchers, practitioners, and regulators should consider patient demographics when evaluating VR health intervention outcomes. These findings lay the groundwork for future studies that may explore racial differences in cybersickness directly.

Indexed as

Motion SicknessVirtual RealityHumanscybersicknesshead-mounted displaysracial differencessimulator sicknessvirtual reality

Identifiers

PMID35648477
PMCPMC9201708
OpenAlexW4281657133

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.