Time-dependent mood fluctuations in Antarctic personnel: a meta-analysis
The third-quarter phenomenon is the dominant theoretical model to explain the psychological impactsof deployment in Antarctica on personnel. It posits that detrimental symptoms to functioning, such as negativemood, increase gradually throughout deployment and peak at the third-quarter point, regardl...
Published in: | Polar Record |
---|---|
Main Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
Cambridge University Press
2017
|
Subjects: | |
Online Access: | https://eprints.utas.edu.au/25050/ https://doi.org/10.1017/S003224741700050X |
id |
ftunivtasmania:oai:eprints.utas.edu.au:25050 |
---|---|
record_format |
openpolar |
spelling |
ftunivtasmania:oai:eprints.utas.edu.au:25050 2023-05-15T13:31:52+02:00 Time-dependent mood fluctuations in Antarctic personnel: a meta-analysis Hawkes, C Norris, K 2017 https://eprints.utas.edu.au/25050/ https://doi.org/10.1017/S003224741700050X unknown Cambridge University Press Hawkes, C and Norris, K orcid:0000-0003-3661-2749 2017 , 'Time-dependent mood fluctuations in Antarctic personnel: a meta-analysis' , Polar Record, vol. 53, no. 5 , 534–549 , doi:10.1017/S003224741700050X <http://dx.doi.org/10.1017/S003224741700050X>. Antarctica extreme environments health human behaviour psychology Article PeerReviewed 2017 ftunivtasmania https://doi.org/10.1017/S003224741700050X 2021-08-16T22:17:47Z The third-quarter phenomenon is the dominant theoretical model to explain the psychological impactsof deployment in Antarctica on personnel. It posits that detrimental symptoms to functioning, such as negativemood, increase gradually throughout deployment and peak at the third-quarter point, regardless of overall deploymentlength. 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. Acrossstudies analyses were conducted on three data types: stratified by month using repeated-measured all time points metaanalytictechniques and pre/post-deployment data for summer/winter deployment seasons. Our results did not supportthe 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 endof deployment for summer and winter deployment seasons. These findings have theoretical and practical implicationsand should be used to guide future research, assisting in the development and modification of pre-existing preventionand intervention programmes to improve well-being and functioning of personnel during Antarctic deployment. Article in Journal/Newspaper Antarc* Antarctic Antarctica Polar Record University of Tasmania: UTas ePrints Antarctic Polar Record 53 5 534 549 |
institution |
Open Polar |
collection |
University of Tasmania: UTas ePrints |
op_collection_id |
ftunivtasmania |
language |
unknown |
topic |
Antarctica extreme environments health human behaviour psychology |
spellingShingle |
Antarctica extreme environments health human behaviour psychology Hawkes, C Norris, K Time-dependent mood fluctuations in Antarctic personnel: a meta-analysis |
topic_facet |
Antarctica extreme environments health human behaviour psychology |
description |
The third-quarter phenomenon is the dominant theoretical model to explain the psychological impactsof deployment in Antarctica on personnel. It posits that detrimental symptoms to functioning, such as negativemood, increase gradually throughout deployment and peak at the third-quarter point, regardless of overall deploymentlength. 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. Acrossstudies analyses were conducted on three data types: stratified by month using repeated-measured all time points metaanalytictechniques and pre/post-deployment data for summer/winter deployment seasons. Our results did not supportthe 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 endof deployment for summer and winter deployment seasons. These findings have theoretical and practical implicationsand should be used to guide future research, assisting in the development and modification of pre-existing preventionand intervention programmes to improve well-being and functioning of personnel during Antarctic deployment. |
format |
Article in Journal/Newspaper |
author |
Hawkes, C Norris, K |
author_facet |
Hawkes, C Norris, K |
author_sort |
Hawkes, C |
title |
Time-dependent mood fluctuations in Antarctic personnel: a meta-analysis |
title_short |
Time-dependent mood fluctuations in Antarctic personnel: a meta-analysis |
title_full |
Time-dependent mood fluctuations in Antarctic personnel: a meta-analysis |
title_fullStr |
Time-dependent mood fluctuations in Antarctic personnel: a meta-analysis |
title_full_unstemmed |
Time-dependent mood fluctuations in Antarctic personnel: a meta-analysis |
title_sort |
time-dependent mood fluctuations in antarctic personnel: a meta-analysis |
publisher |
Cambridge University Press |
publishDate |
2017 |
url |
https://eprints.utas.edu.au/25050/ https://doi.org/10.1017/S003224741700050X |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctica Polar Record |
genre_facet |
Antarc* Antarctic Antarctica Polar Record |
op_relation |
Hawkes, C and Norris, K orcid:0000-0003-3661-2749 2017 , 'Time-dependent mood fluctuations in Antarctic personnel: a meta-analysis' , Polar Record, vol. 53, no. 5 , 534–549 , doi:10.1017/S003224741700050X <http://dx.doi.org/10.1017/S003224741700050X>. |
op_doi |
https://doi.org/10.1017/S003224741700050X |
container_title |
Polar Record |
container_volume |
53 |
container_issue |
5 |
container_start_page |
534 |
op_container_end_page |
549 |
_version_ |
1766021655223599104 |