Academic Journal
Characterizing Relationships Among the Cognitive, Physical, Social-emotional, and Health-related Traits of Military Personnel
| العنوان: | Characterizing Relationships Among the Cognitive, Physical, Social-emotional, and Health-related Traits of Military Personnel |
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| المؤلفون: | Giles, Grace E, Navarro, Ester, Elkin-Frankston, Seth, Brunyé, Tad T, Elmore, Wade R, Seay, Joseph F, McKenzie, Kari L, O’Fallon, Kevin S, Brown, Stephanie A, Parham, Joseph L, Garlie, Todd N, DeSimone, Linda, Villa, Jose D, Choi-Rokas, Hyegjoo E, Mitchell, K Blake, Racicot, Kenneth, Soares, Jason W, Caruso, Christina, Anderson, Debra, Cantelon, Julie A, Gardony, Aaron L, Smith, Tracey J, Karl, J Philip, Jayne, Julianna M, Christopher, John J, Talarico, Maria K, Sperlein, Jennifer Neugebauer, Boynton, Angela C, Jensen, Andrew, Ramsay, John W, Eddy, Marianna D |
| المساهمون: | U.S. Army Combat Capabilities Development Command Soldier Center |
| المصدر: | Military Medicine ; volume 188, issue 7-8, page e2275-e2283 ; ISSN 0026-4075 1930-613X |
| بيانات النشر: | Oxford University Press (OUP) |
| سنة النشر: | 2023 |
| الوصف: | Introduction Personnel engaged in high-stakes occupations, such as military personnel, law enforcement, and emergency first responders, must sustain performance through a range of environmental stressors. To maximize the effectiveness of military personnel, an a priori understanding of traits can help predict their physical and cognitive performance under stress and adversity. This work developed and assessed a suite of measures that have the potential to predict performance during operational scenarios. These measures were designed to characterize four specific trait–based domains: cognitive, health, physical, and social-emotional. Materials and Methods One hundred and ninety-one active duty U.S. Army soldiers completed interleaved questionnaire–based, seated task–based, and physical task–based measures over a period of 3-5 days. Redundancy analysis, dimensionality reduction, and network analyses revealed several patterns of interest. Results First, unique variable analysis revealed a minimally redundant battery of instruments. Second, principal component analysis showed that metrics tended to cluster together in three to five components within each domain. Finally, analyses of cross-domain associations using network analysis illustrated that cognitive, health, physical, and social-emotional domains showed strong construct solidarity. Conclusions The present battery of metrics presents a fieldable toolkit that may be used to predict operational performance that can be clustered into separate components or used independently. It will aid predictive algorithm development aimed to identify critical predictors of individual military personnel and small-unit performance outcomes. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1093/milmed/usad002 |
| الاتاحة: | https://doi.org/10.1093/milmed/usad002 https://academic.oup.com/milmed/article-pdf/188/7-8/e2275/50937770/usad002.pdf |
| رقم الانضمام: | edsbas.4645F88D |
| قاعدة البيانات: | BASE |
| DOI: | 10.1093/milmed/usad002 |
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