<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Brown LA</submitter><funding>NIMH NIH HHS</funding><funding>National Institute of Mental Health</funding><funding>US Department of Defense</funding><pagination>100752</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7973131</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>21</volume><pubmed_abstract>&lt;h4>Objectives&lt;/h4>Several recent studies have demonstrated that posttraumatic stress disorder (PTSD) and insomnia treatments are associated with significant reductions in suicidal ideation (SI) among service members. However, few investigations have evaluated the manner in which suicide risk changes over time among military personnel receiving PTSD or insomnia treatments. This paper describes the study protocol for a project with these aims: (1) explore potential genetic, clinical, and demographic subtypes of suicide risk in a large cohort of deployed service members; (2) explore subtype change in SI as a result of evidence-based psychotherapies for PTSD and insomnia; (3) evaluate the speed of change in suicide risk; and (4) identify predictors of higher- and lower-risk for suicide.&lt;h4>Me</pubmed_abstract><journal>Contemporary clinical trials communications</journal><pubmed_title>Identifying suicidal subtypes and dynamic indicators of increasing and decreasing suicide risk in active duty military personnel: Study protocol.</pubmed_title><pmcid>PMC7973131</pmcid><funding_grant_id>R01 MH117600</funding_grant_id><pubmed_authors>Brown LA</pubmed_authors><pubmed_authors>Bryan CJ</pubmed_authors><pubmed_authors>Hale WJ</pubmed_authors><pubmed_authors>Maurer DM</pubmed_authors><pubmed_authors>Litz BT</pubmed_authors><pubmed_authors>Young-McCaughan S</pubmed_authors><pubmed_authors>Fina BA</pubmed_authors><pubmed_authors>Mintz J</pubmed_authors><pubmed_authors>Butner JE</pubmed_authors><pubmed_authors>Foa EB</pubmed_authors><pubmed_authors>Tabares JV</pubmed_authors><pubmed_authors>Resick PA</pubmed_authors><pubmed_authors>Hernandez AM</pubmed_authors><pubmed_authors>Kelly KM</pubmed_authors><pubmed_authors>STRONG STAR Consortium</pubmed_authors><pubmed_authors>Williamson DE</pubmed_authors><pubmed_authors>Wachen JS</pubmed_authors><pubmed_authors>Yarvis JS</pubmed_authors><pubmed_authors>Borah AM</pubmed_authors><pubmed_authors>Borah EV</pubmed_authors><pubmed_authors>Dondanville KA</pubmed_authors><pubmed_authors>Taylor DJ</pubmed_authors><pubmed_authors>Coon H</pubmed_authors><pubmed_authors>McLean CP</pubmed_authors><pubmed_authors>Peterson AL</pubmed_authors><pubmed_authors>Pruiksma KE</pubmed_authors><pubmed_authors>Nicholson KL</pubmed_authors></additional><is_claimable>false</is_claimable><name>Identifying suicidal subtypes and dynamic indicators of increasing and decreasing suicide risk in active duty military personnel: Study protocol.</name><description>&lt;h4>Objectives&lt;/h4>Several recent studies have demonstrated that posttraumatic stress disorder (PTSD) and insomnia treatments are associated with significant reductions in suicidal ideation (SI) among service members. However, few investigations have evaluated the manner in which suicide risk changes over time among military personnel receiving PTSD or insomnia treatments. This paper describes the study protocol for a project with these aims: (1) explore potential genetic, clinical, and demographic subtypes of suicide risk in a large cohort of deployed service members; (2) explore subtype change in SI as a result of evidence-based psychotherapies for PTSD and insomnia; (3) evaluate the speed of change in suicide risk; and (4) identify predictors of higher- and lower-risk for suicide.&lt;h4>Me</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Mar</publication><modification>2025-04-20T02:29:01.599Z</modification><creation>2025-04-20T02:29:01.599Z</creation></dates><accession>S-EPMC7973131</accession><cross_references><pubmed>33748530</pubmed><doi>10.1016/j.conctc.2021.100752</doi></cross_references></HashMap>