Seasickness susceptibility and the vestibular time constant: a prospective study.

Habituation Motion sickness Rotatory chair Seasickness Vestibular time constant

Journal

Experimental brain research
ISSN: 1432-1106
Titre abrégé: Exp Brain Res
Pays: Germany
ID NLM: 0043312

Informations de publication

Date de publication:
28 Nov 2023
Historique:
received: 08 12 2022
accepted: 06 11 2023
medline: 28 11 2023
pubmed: 28 11 2023
entrez: 28 11 2023
Statut: aheadofprint

Résumé

Human passive motion during boat, car or airplane travel may trigger motion sickness. Seasickness is the most provoking manifestation of motion sickness. It imposes major constraints on quality of life and human performance. Based on seasickness susceptibility the population is usually categorized into susceptible (S) and non-susceptible (NS). During repeated exposure some susceptible individuals undergo habituation and obtain symptoms relief, reflecting a third group of habituating (H) individuals. Recently, accumulative evidence suggests that the vestibular time constant (Tc) is associated with motion sickness susceptibility and attenuation of symptoms. These studies demonstrated that repeated passive motion stimuli lead to temporary short-term (days) changes in Tc, whereas sea sickness habituation process lasts 3 to 6 months. Therefore, the goal of the present study was to examine the behavior of Tc during the entire span of the seasickness habituation process between the H, S and NS groups to find an objective test for seasickness severity prediction. Tc of 30 subjects was prospectively evaluated pre, 3 and 6 months post exposure to sea environment using a computerized rotatory chair system protocol. Seasickness severity was evaluated by Wiker questionnaire. Significantly shorter Tc was found in the S group compared with the NS and H groups. Further analysis revealed lower maximal Slow Phase Velocity (mSPV) and nystagmus frequency (total number of beats/second) in the S group. Our results suggest that Tc, mSPV and nystagmus frequency might serve as a prediction for seasickness severity. This study was retrospectively registered on December 7th 2022 and assigned the identifier number NCT05640258.

Identifiants

pubmed: 38015244
doi: 10.1007/s00221-023-06745-z
pii: 10.1007/s00221-023-06745-z
doi:

Banques de données

ClinicalTrials.gov
['NCT05640258']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Israel Defense Forces (IDF) Medical Corps and Directorate of Defense Research & Development, Israeli Ministry of Defense (IMOD DDR&D).
ID : 4440766274

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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Auteurs

Daniel Lagami (D)

Motion Sickness and Human Performance Laboratory, The Israel Naval Medical Institute (INMI), IDF Medical Corps, Box 22, Rambam Health Care Campus, P.O. Box 9602, 3109601, Haifa, Israel.

Yoni Evgeni Gutkovich (YE)

Motion Sickness and Human Performance Laboratory, The Israel Naval Medical Institute (INMI), IDF Medical Corps, Box 22, Rambam Health Care Campus, P.O. Box 9602, 3109601, Haifa, Israel.
Department of Otolaryngology - Head and Neck Surgery, HaEmek Medical Centre, Afula, Israel.
The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.

Anna Jamison (A)

Motion Sickness and Human Performance Laboratory, The Israel Naval Medical Institute (INMI), IDF Medical Corps, Box 22, Rambam Health Care Campus, P.O. Box 9602, 3109601, Haifa, Israel.

Yuri Fonar (Y)

Motion Sickness and Human Performance Laboratory, The Israel Naval Medical Institute (INMI), IDF Medical Corps, Box 22, Rambam Health Care Campus, P.O. Box 9602, 3109601, Haifa, Israel.
Shalvata Mental Health Centre, Hod Hasharon, Israel.
Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Dror Tal (D)

Motion Sickness and Human Performance Laboratory, The Israel Naval Medical Institute (INMI), IDF Medical Corps, Box 22, Rambam Health Care Campus, P.O. Box 9602, 3109601, Haifa, Israel. tldror1@gmail.com.

Classifications MeSH