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 - 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 -