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Pharmacological and non-pharmacological countermeasures to Space Motion Sickness: a systematic review

Authors :
Akil Khalid
Pragnya P. Prusty
Iqra Arshad
Hannah E. Gustafson
Isra Jalaly
Keith Nockels
Barry L. Bentley
Rahul Goel
Elisa R. Ferrè
Source :
Frontiers in Neural Circuits, Vol 17 (2023)
Publication Year :
2023
Publisher :
Frontiers Media S.A., 2023.

Abstract

IntroductionSpace Motion Sickness (SMS) is a syndrome that affects around 70% of astronauts and includes symptoms of nausea, dizziness, fatigue, vertigo, headaches, vomiting, and cold sweating. Consequences range from discomfort to severe sensorimotor and cognitive incapacitation, which might cause potential problems for mission-critical tasks and astronauts and cosmonauts' well-being. Both pharmacological and non-pharmacological countermeasures have been proposed to mitigate SMS. However, their effectiveness has not been systematically evaluated. Here we present the first systematic review of published peer-reviewed research on the effectiveness of pharmacological and non-pharmacological countermeasures to SMS.MethodsWe performed a double-blind title and abstract screening using the online Rayyan collaboration tool for systematic reviews, followed by a full-text screening. Eventually, only 23 peer-reviewed studies underwent data extraction.ResultsBoth pharmacological and non-pharmacological countermeasures can help mitigate SMS symptoms.DiscussionNo definitive recommendation can be given regarding the superiority of any particular countermeasure approach. Importantly, there is considerable heterogeneity in the published research methods, lack of a standardized assessment approach, and small sample sizes. To allow for consistent comparisons between SMS countermeasures in the future, standardized testing protocols for spaceflight and ground-based analogs are needed. We believe that the data should be made openly available, given the uniqueness of the environment in which it is collected.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021244131.

Details

Language :
English
ISSN :
16625110
Volume :
17
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neural Circuits
Publication Type :
Academic Journal
Accession number :
edsdoj.74ed9da621e746b2b144096cd20c50dc
Document Type :
article
Full Text :
https://doi.org/10.3389/fncir.2023.1150233