Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Additional filters

Article Language

Species

Sex

Age

Other

Search Results

979 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Publication Date timeline is not available.
Page 1
Predicting Suicides Among US Army Soldiers After Leaving Active Service.
Kennedy CJ, Kearns JC, Geraci JC, Gildea SM, Hwang IH, King AJ, Liu H, Luedtke A, Marx BP, Papini S, Petukhova MV, Sampson NA, Smoller JW, Wolock CJ, Zainal NH, Stein MB, Ursano RJ, Wagner JR, Kessler RC. Kennedy CJ, et al. Among authors: stein mb. JAMA Psychiatry. 2024 Dec 1;81(12):1215-1224. doi: 10.1001/jamapsychiatry.2024.2744. JAMA Psychiatry. 2024. PMID: 39320863
Predictors of suicide and accident death in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS): results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).
Schoenbaum M, Kessler RC, Gilman SE, Colpe LJ, Heeringa SG, Stein MB, Ursano RJ, Cox KL; Army STARRS Collaborators. Schoenbaum M, et al. Among authors: stein mb. JAMA Psychiatry. 2014 May;71(5):493-503. doi: 10.1001/jamapsychiatry.2013.4417. JAMA Psychiatry. 2014. PMID: 24590048 Free PMC article.
Thirty-day prevalence of DSM-IV mental disorders among nondeployed soldiers in the US Army: results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).
Kessler RC, Heeringa SG, Stein MB, Colpe LJ, Fullerton CS, Hwang I, Naifeh JA, Nock MK, Petukhova M, Sampson NA, Schoenbaum M, Zaslavsky AM, Ursano RJ; Army STARRS Collaborators. Kessler RC, et al. Among authors: stein mb. JAMA Psychiatry. 2014 May;71(5):504-13. doi: 10.1001/jamapsychiatry.2014.28. JAMA Psychiatry. 2014. PMID: 24590120 Free PMC article.
Prevalence and correlates of suicidal behavior among soldiers: results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).
Nock MK, Stein MB, Heeringa SG, Ursano RJ, Colpe LJ, Fullerton CS, Hwang I, Naifeh JA, Sampson NA, Schoenbaum M, Zaslavsky AM, Kessler RC; Army STARRS Collaborators. Nock MK, et al. Among authors: stein mb. JAMA Psychiatry. 2014 May;71(5):514-22. doi: 10.1001/jamapsychiatry.2014.30. JAMA Psychiatry. 2014. PMID: 24590178 Free PMC article.
Sociodemographic and career history predictors of suicide mortality in the United States Army 2004-2009.
Gilman SE, Bromet EJ, Cox KL, Colpe LJ, Fullerton CS, Gruber MJ, Heeringa SG, Lewandowski-Romps L, Millikan-Bell AM, Naifeh JA, Nock MK, Petukhova MV, Sampson NA, Schoenbaum M, Stein MB, Ursano RJ, Wessely S, Zaslavsky AM, Kessler RC; Army STARRS Collaborators. Gilman SE, et al. Among authors: stein mb. Psychol Med. 2014 Sep;44(12):2579-92. doi: 10.1017/S003329171400018X. Psychol Med. 2014. PMID: 25055175 Free PMC article.
Identification of Novel, Replicable Genetic Risk Loci for Suicidal Thoughts and Behaviors Among US Military Veterans.
Kimbrel NA, Ashley-Koch AE, Qin XJ, Lindquist JH, Garrett ME, Dennis MF, Hair LP, Huffman JE, Jacobson DA, Madduri RK, Trafton JA, Coon H, Docherty AR, Mullins N, Ruderfer DM, Harvey PD, McMahon BH, Oslin DW, Beckham JC, Hauser ER, Hauser MA; Million Veteran Program Suicide Exemplar Workgroup, the International Suicide Genetics Consortium, the Veterans Affairs Mid-Atlantic Mental Illness Research, Education, and Clinical Center Workgroup, and the Veterans Affairs Million Veteran Program. Kimbrel NA, et al. JAMA Psychiatry. 2023 Feb 1;80(2):135-145. doi: 10.1001/jamapsychiatry.2022.3896. JAMA Psychiatry. 2023. PMID: 36515925 Free PMC article.
979 results