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Time-dependent mood fluctuations in Antarctic personnel: a meta-analysis

Published online by Cambridge University Press:  28 September 2017

Clare Hawkes  and
Kimberley Norris Open the ORCID record for Kimberley Norris [Opens in a new window]
Clare Hawkes
Affiliation:
School of Medicine (Psychology), University of Tasmania, Private Bag 30, Hobart, Tasmania 7001, Australia ([email protected])
Kimberley Norris
Affiliation:
School of Medicine (Psychology), University of Tasmania, Private Bag 30, Hobart, Tasmania 7001, Australia ([email protected])
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Abstract

The third-quarter phenomenon is the dominant theoretical model to explain the psychological impacts of deployment in Antarctica on personnel. It posits that detrimental symptoms to functioning, such as negative mood, increase gradually throughout deployment and peak at the third-quarter point, regardless of overall deployment length. However, there is equivocal support for the model. The current meta-analysis included data from 21 studies (involving 1,826 participants) measuring negative mood during deployment to elucidate this discrepancy. Across studies analyses were conducted on three data types: stratified by month using repeated-measured all time points meta-analytic techniques and pre/post-deployment data for summer/winter deployment seasons. Our results did not support the proposed parameters of the third-quarter phenomenon, as negative mood did not peak at the third-quarter point (August/September) of deployment. Overall effect sizes indicated that negative mood was greater at baseline than the end of deployment for summer and winter deployment seasons. These findings have theoretical and practical implications and should be used to guide future research, assisting in the development and modification of pre-existing prevention and intervention programmes to improve well-being and functioning of personnel during Antarctic deployment.

Type
Research Article
Information
Polar Record , Volume 53 , Issue 5 , September 2017 , pp. 534 - 549
Copyright
Copyright © Cambridge University Press 2017 

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