FIND IMPACT FOR ARTICLE

Analyze article and determine social impact





Id : 2637

Author :
Paxton Willing M.M.; Tate L.L.; O’gallagher K.G.; Evatt D.P.; Riggs D.S.

Title


In-Theater Mental Health Disorders Among U.S. Soldiers Deployed Between 2008 and 2013

Reference :


Paxton Willing M.M.; Tate L.L.; O’gallagher K.G.; Evatt D.P.; Riggs D.S. In-Theater Mental Health Disorders Among U.S. Soldiers Deployed Between 2008 and 2013,Medical Surveillance Monthly Report 29 11

Link to article https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149123736&partnerID=40&md5=ed2a43b1f512ef2664bb5f196bc23445
Abstract Deployed service members regularly undergo demanding and stressful expe-riences that can contribute to mental health difficulties; however, there is a scarcity of studies examining rates of mental health disorders in-theater. The current study examined case rates of mental health disorders among deployed U.S. Army Soldiers using diagnostic encounter data from the Theater Medical Data Store. Case rates were calculated across 12 categories of mental health disorders. While in theater, soldiers’ highest rates were for stress reactions and adjustment disorders, depression, anxiety, and sleep dis-orders. The lowest rates in theater were for psychosis, bipolar, somatic, and eating disorders. Notably, female soldiers had higher rates than their male counterparts for disorders in each of the 12 diagnostic categories. Results provide crucial information to aid in decision making about necessary inter-ventions and provider competencies in deployed settings. Knowledge gained from these data may improve force readiness, help lessen disease burden, and inform military policy and prevention efforts. © 2022, Armed Forces Health Surveillance Center. All rights reserved.



Results:


                            Impact                            

                   Certainity                   

Health and Wellbeing

0.9963
Urban and Territorial Renovation 0.0027
Peoples Engagement and Participation 0.0091
Note: Due to lack of computing power, results have been previously created and saved in database