TY - JOUR
T1 - Phenotypic predictors of suicide subtypes from pre-to postdeployment in active duty military personnel
AU - STRONG STAR Consortium
AU - Brown, Lily A.
AU - Zhu, Yiqin
AU - Coon, Hillary
AU - Young-McCaughan, Stacey
AU - Fina, Brooke A.
AU - Dondanville, Katherine A.
AU - Hernandez, Ann Marie
AU - Litz, Brett T.
AU - Mintz, Jim
AU - Maurer, Douglas M.
AU - Kelly, Kevin M.
AU - Peterson, Alan L.
AU - Bryan, Craig J.
AU - Williamson, Douglas E.
N1 - Funding Information:
Funding for this work was made possible by the U.S. Department of Defense through the U.S. Army Medical Research and Materiel Command, Congressionally Directed Medical Research Programs, Psychological Health and Traumatic Brain Injury Research Program awards W81XWH-08-02-109 (PI: Alan Peterson), W81XWH-08-02-110 (PI: Douglas Williamson), and W81XWH-08-02-0114 (Brett Litz). Additional funding was provided by the National Institute of Mental Health award R01 MH117600-01 (PI: Craig Bryan). Part of this research also was supported by Consortium to Alleviate PTSD (CAP) award numbers W81XWH-13-2-0065 from the U.S. Department of Defense, Defense Health Program, Psychological Health and Traumatic Brain Injury Research Program (PH/TBI RP), and I01CX001136-01 from the US Department of Veterans Affairs, Office of Research & Development, Clinical Science Research & Development Service.We would like to thank the participants for their involvement in the study. We also thank Ray Aguilar, BA, Elisa Borah, PhD, Antoinette Brundige, MA, Katherine Compton, RN, BSN, Joe Cuellar, BS, Tamara Defranc, MD, Paul Fowler, BS, Nellie Springston, MA, Charity Wilkinson Truong, PsyD, Raymond Bryce Williams, MS (University of Texas Health Science Center at San Antonio) and Keith Young, PhD (Texas A&M Health Science Center) who supported the data collection and data management for this study; Deanne Hargita, MPA, CCRP (University of Texas Health Science Center at San Antonio) who maintained the regulatory documents for the study as part of the STRONG STAR Administrative Core; and Julie R. Collins, BA, and Joel Williams, BA, BS (University of Texas Health Science Center at San Antonio) who provided editorial support for the manuscript.Dr. Lily Brown has received funding from the National Institute of Mental Health and the Department of Defense. Mr. Zhu has received funding from the Department of Defense. Dr. Coon has received funding from the National Institutes of Health. Dr. Young-McCaughan has received funding from the National Institutes of Health, the Department of Defense, the Department of Veterans Affairs, the Bob Woodruff Foundation, and the Texas Department of Health and Human Services. Ms. Fina has received funding from the National Institute of Mental Health, the Department of Defense, the Texas Department of Health and Human Services, the Bob Woodruff Foundation, Boeing, and USAA. Dr. Dondanville has received funding from the National Institute of Mental Health, the Department of Defense, the Texas Department of Health and Human Services, the Bob Woodruff Foundation, Boeing, and USAA. Dr. Ann Marie Hernandez reports no conflicts of interest. Dr. Litz has received funding from the National Institute of Mental Health and the Department of Defense. Dr. Mintz has received funding from the National Institutes of Health, the Department of Defense, the Department of Veterans Affairs, the Bob Woodruff Foundation, and the Texas Department of Health and Human Services. Dr. Maurer reports no conflicts of interest. Dr. Kelly reports no conflict of interest. Dr. Peterson has received funding from the National Institutes of Health, the Department of Defense, the Department of Veterans Affairs, the Bob Woodruff Foundation, and the Texas Department of Health and Human Services. Dr. Bryan has received funding from the National Institute of Mental Health and the Department of Defense. Dr. Williamson has received funding from the National Institute of Mental Health and the Department of Defense.
Funding Information:
Funding for this work was made possible by the U.S. Department of Defense through the U.S. Army Medical Research and Materiel Command, Congressionally Directed Medical Research Programs, Psychological Health and Traumatic Brain Injury Research Program awards W81XWH-08-02-109 (PI: Alan Peterson), W81XWH-08-02-110 (PI: Douglas Williamson), and W81XWH-08-02-0114 (Brett Litz). Additional funding was provided by the National Institute of Mental Health award R01 MH117600-01 (PI: Craig Bryan). Part of this research also was supported by Consortium to Alleviate PTSD ( CAP ) award numbers W81XWH-13-2-0065 from the U.S. Department of Defense, Defense Health Program, Psychological Health and Traumatic Brain Injury Research Program (PH/TBI RP), and I01CX001136-01 from the US Department of Veterans Affairs, Office of Research & Development, Clinical Science Research & Development Service.
Publisher Copyright:
© 2023
PY - 2023/4
Y1 - 2023/4
N2 - Military service members are at increased risk for suicide, but there are few strategies for detecting those who are at highest risk after a deployment. Using all available data collected from 4119 Military service members before and after their deployment to Iraq for Operation Iraqi Freedom, we tested whether predeployment characteristics clustered together to predict postdeployment suicidal risk. Latent class analysis showed that three classes best characterized the sample at predeployment. Class 1 had significantly higher scores on PTSD severity pre- and postdeployment than Classes 2 and 3 (Ps < .001). At postdeployment, Class 1 also had a greater proportion of endorsement of lifetime and past year suicidal ideation than Classes 2 and 3 (Ps < .05) and a greater proportion of lifetime suicide attempts than Class 3 (P < .001). Class 1 also had a greater proportion of endorsement of past-30-days intention to act on suicidal thoughts than Classes 2 and 3 (Ps < .05) and past-30-days specific plan for suicide than Classes 2 and 3 (Ps < .05). The study showed that based only on predeployment data, it is possible to determine which service members might be at highest risk for suicidal ideation and behavior at postdeployment.
AB - Military service members are at increased risk for suicide, but there are few strategies for detecting those who are at highest risk after a deployment. Using all available data collected from 4119 Military service members before and after their deployment to Iraq for Operation Iraqi Freedom, we tested whether predeployment characteristics clustered together to predict postdeployment suicidal risk. Latent class analysis showed that three classes best characterized the sample at predeployment. Class 1 had significantly higher scores on PTSD severity pre- and postdeployment than Classes 2 and 3 (Ps < .001). At postdeployment, Class 1 also had a greater proportion of endorsement of lifetime and past year suicidal ideation than Classes 2 and 3 (Ps < .05) and a greater proportion of lifetime suicide attempts than Class 3 (P < .001). Class 1 also had a greater proportion of endorsement of past-30-days intention to act on suicidal thoughts than Classes 2 and 3 (Ps < .05) and past-30-days specific plan for suicide than Classes 2 and 3 (Ps < .05). The study showed that based only on predeployment data, it is possible to determine which service members might be at highest risk for suicidal ideation and behavior at postdeployment.
KW - Active duty military personnel
KW - Latent class analysis
KW - Posttraumatic stress disorder (PTSD)
KW - Suicidal behavior
KW - Suicidal ideation
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U2 - 10.1016/j.jpsychires.2023.02.009
DO - 10.1016/j.jpsychires.2023.02.009
M3 - Article
C2 - 36804111
AN - SCOPUS:85148350295
SN - 0022-3956
VL - 160
SP - 163
EP - 170
JO - Journal of Psychiatric Research
JF - Journal of Psychiatric Research
ER -