| Mental health measures in predicting outcomes for the selection and training of navy divers. | |
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MedLine Citation:
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PMID: 21560981 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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INTRODUCTION: Two models have previously been enlisted to predict success in training using psychological markers. Both the Mental Health Model and Trait Anxiety Model have shown some success in predicting behaviours associated with arousal among student divers. This study investigated the potential of these two models to predict outcome in naval diving selection and training. METHODS: Navy diving candidates (n = 137) completed the Brunel Mood Scale and the State-Trait Personality Inventory (trait-anxiety scale) prior to selection. The mean scores of the candidates accepted for training were compared to those who were not accepted. The mean scores of the candidates who passed training were then compared to those who failed. A number of trainees withdrew from training due to injury, and their scores were also compared to those who completed the training. RESULTS: Candidates who were not accepted were more depressed, fatigued and confused than those who were accepted for training, and reported higher trait anxiety. There were no significant differences between the candidates who passed training and those who did not. However, injured trainees were tenser, more fatigued and reported higher trait anxiety than the rest. Age, gender, home language, geographical region of origin and race had no significant interaction with outcome results. Conclusions: While the models could partially discriminate between the mean scores of different outcome groups, none of them contributed meaningfully to predicting individual outcome in diving training. Both models may have potential in identifying proneness to injury, and this requires further study. |
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Authors:
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Charles H van Wijk |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Diving and hyperbaric medicine : the journal of the South Pacific Underwater Medicine Society Volume: 41 ISSN: 1833-3516 ISO Abbreviation: Diving Hyperb Med Publication Date: 2011 Mar |
Date Detail:
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Created Date: 2011-05-12 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101282742 Medline TA: Diving Hyperb Med Country: Australia |
Other Details:
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Languages: eng Pagination: 22-6 Citation Subset: IM |
Affiliation:
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chvanwijk@gmail.com |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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