Low psychological resilience and physical fitness predict attrition from US Marine Corps Officer Candidate School training.
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| Title: | Low psychological resilience and physical fitness predict attrition from US Marine Corps Officer Candidate School training. |
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| Authors: | Forse, Jennifer N. (AUTHOR), Koltun, Kristen J. (AUTHOR), Bird, Matthew B. (AUTHOR), Lovalekar, Mita (AUTHOR), Feigel, Evan D. (AUTHOR), Steele, Elizabeth J. (AUTHOR), Martin, Brian J. (AUTHOR), Nindl, Bradley C. (AUTHOR) |
| Source: | Military Psychology. 2025, Vol. 37 Issue 6, p517-526. 10p. |
| Subjects: | Musculoskeletal system injuries, Education of military personnel, Psychological resilience, Risk assessment, Predictive tests, Research funding, Secondary analysis, Receiver operating characteristic curves, Body mass index, Labor turnover, Sex distribution, Logistic regression analysis, Psychology of military personnel, Longitudinal method, Odds ratio, Physical fitness, United States. Marine Corps, Statistics, Data analysis software, Confidence intervals, Military education |
| Abstract: | The objective is to examine the predictors of attrition in male and female candidates undergoing a 10-week early career military training program. 1006 candidates (79.5% male, 24.7 ± 3.2 years) consented to participating in a larger study examining predictors of injury during US Marine Corps Officer Candidates School (OCS). Participants completed a blood draw, demographic and psychological characteristics questionnaires, and two fitness tests. Participants were then grouped based on successful completion of OCS or not. Associations between potential predictors and attrition were analyzed using simple logistic regression analyses, followed by a backward stepwise elimination method. Area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to determine the accuracy of the attrition prediction model. 260 candidates (25.8%) attritted over the 10-week training, with the highest number of discharges during week 5. Musculoskeletal injury (MSKI) was the most common cause of attrition (30%), followed by non-MSKI medical (21.5%), and volitional withdrawals (19.6%). Sex, body mass index (BMI), resilience, initial physical fitness test score, combat fitness test (CFT) score, and prior military service were all significantly associated with attrition from OCS (all p <.05). The final prediction model of attrition included CFT score (p =.027) and resilience (p =.018). Multiple demographic, psychological, and fitness characteristics are associated with attrition from an early career military training course (OCS) and may be utilized as part of early screening procedures to identify and provide guidance for individuals at risk for not completing OCS. [ABSTRACT FROM AUTHOR] |
| Copyright of Military Psychology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 188897461 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Low psychological resilience and physical fitness predict attrition from US Marine Corps Officer Candidate School training. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Forse%2C+Jennifer+N%2E%22">Forse, Jennifer N.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Koltun%2C+Kristen+J%2E%22">Koltun, Kristen J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bird%2C+Matthew+B%2E%22">Bird, Matthew B.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lovalekar%2C+Mita%22">Lovalekar, Mita</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Feigel%2C+Evan+D%2E%22">Feigel, Evan D.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Steele%2C+Elizabeth+J%2E%22">Steele, Elizabeth J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Martin%2C+Brian+J%2E%22">Martin, Brian J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nindl%2C+Bradley+C%2E%22">Nindl, Bradley C.</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Military+Psychology%22">Military Psychology</searchLink>. 2025, Vol. 37 Issue 6, p517-526. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Musculoskeletal+system+injuries%22">Musculoskeletal system injuries</searchLink><br /><searchLink fieldCode="DE" term="%22Education+of+military+personnel%22">Education of military personnel</searchLink><br /><searchLink fieldCode="DE" term="%22Psychological+resilience%22">Psychological resilience</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Predictive+tests%22">Predictive tests</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Secondary+analysis%22">Secondary analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Receiver+operating+characteristic+curves%22">Receiver operating characteristic curves</searchLink><br /><searchLink fieldCode="DE" term="%22Body+mass+index%22">Body mass index</searchLink><br /><searchLink fieldCode="DE" term="%22Labor+turnover%22">Labor turnover</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+of+military+personnel%22">Psychology of military personnel</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Physical+fitness%22">Physical fitness</searchLink><br /><searchLink fieldCode="DE" term="%22United+States%2E+Marine+Corps%22">United States. Marine Corps</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Military+education%22">Military education</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The objective is to examine the predictors of attrition in male and female candidates undergoing a 10-week early career military training program. 1006 candidates (79.5% male, 24.7 ± 3.2 years) consented to participating in a larger study examining predictors of injury during US Marine Corps Officer Candidates School (OCS). Participants completed a blood draw, demographic and psychological characteristics questionnaires, and two fitness tests. Participants were then grouped based on successful completion of OCS or not. Associations between potential predictors and attrition were analyzed using simple logistic regression analyses, followed by a backward stepwise elimination method. Area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to determine the accuracy of the attrition prediction model. 260 candidates (25.8%) attritted over the 10-week training, with the highest number of discharges during week 5. Musculoskeletal injury (MSKI) was the most common cause of attrition (30%), followed by non-MSKI medical (21.5%), and volitional withdrawals (19.6%). Sex, body mass index (BMI), resilience, initial physical fitness test score, combat fitness test (CFT) score, and prior military service were all significantly associated with attrition from OCS (all p <.05). The final prediction model of attrition included CFT score (p =.027) and resilience (p =.018). Multiple demographic, psychological, and fitness characteristics are associated with attrition from an early career military training course (OCS) and may be utilized as part of early screening procedures to identify and provide guidance for individuals at risk for not completing OCS. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Military Psychology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/08995605.2024.2403826 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 517 Subjects: – SubjectFull: Musculoskeletal system injuries Type: general – SubjectFull: Education of military personnel Type: general – SubjectFull: Psychological resilience Type: general – SubjectFull: Risk assessment Type: general – SubjectFull: Predictive tests Type: general – SubjectFull: Research funding Type: general – SubjectFull: Secondary analysis Type: general – SubjectFull: Receiver operating characteristic curves Type: general – SubjectFull: Body mass index Type: general – SubjectFull: Labor turnover Type: general – SubjectFull: Sex distribution Type: general – SubjectFull: Logistic regression analysis Type: general – SubjectFull: Psychology of military personnel Type: general – SubjectFull: Longitudinal method Type: general – SubjectFull: Odds ratio Type: general – SubjectFull: Physical fitness Type: general – SubjectFull: United States. Marine Corps Type: general – SubjectFull: Statistics Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Military education Type: general Titles: – TitleFull: Low psychological resilience and physical fitness predict attrition from US Marine Corps Officer Candidate School training. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Forse, Jennifer N. – PersonEntity: Name: NameFull: Koltun, Kristen J. – PersonEntity: Name: NameFull: Bird, Matthew B. – PersonEntity: Name: NameFull: Lovalekar, Mita – PersonEntity: Name: NameFull: Feigel, Evan D. – PersonEntity: Name: NameFull: Steele, Elizabeth J. – PersonEntity: Name: NameFull: Martin, Brian J. – PersonEntity: Name: NameFull: Nindl, Bradley C. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 08995605 Numbering: – Type: volume Value: 37 – Type: issue Value: 6 Titles: – TitleFull: Military Psychology Type: main |
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