Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Amy E. Street"'
Autor:
Tara E. Galovski, Amy E. Street, Virginia K. McCaughey, Emma A. Archibald, Jennifer Schuster Wachen, Aimee C. Chan
Publikováno v:
Journal of General Internal Medicine. 37:842-847
Autor:
Tara E. Galovski, Amy E. Street, Suzannah Creech, Keren Lehavot, Ursula A. Kelly, Elizabeth M. Yano
Publikováno v:
Journal of General Internal Medicine. 37:825-832
Despite substantial efforts to counter sexual assault and harassment in the military, both remain persistent in the Armed Services. In February 2021, President Biden directed the U.S. Department of Defense to establish a 90-day Independent Review Com
Publikováno v:
Veteran and Military Mental Health ISBN: 9783031180088
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ad4f631b742d7ed57037d9375781113
https://doi.org/10.1007/978-3-031-18009-5_15
https://doi.org/10.1007/978-3-031-18009-5_15
Autor:
Alison B. Hamilton, Virginia K. McCaughey, Margret E. Bell, Katelyn E Marchany, Marlena H Shin, Amy E. Street
Publikováno v:
Psychol Serv
Given the number of veterans who have experienced military sexual trauma (MST) and the impact of these experiences on veteran health, Veterans Health Administration (VHA) providers frequently communicate with patients about these experiences, either
Autor:
Anthony J. Rosellini, Timothy L. Lash, Jaimie L. Gradus, Isaac R. Galatzer-Levy, Erzsébet Horváth-Puhó, Tammy Jiang, Henrik Toft Sørensen, Amy E. Street
Publikováno v:
Am J Epidemiol
Gradus, J L, Rosellini, A J, Horváth-Puhó, E, Jiang, T, Street, A E, Galatzer-Levy, I, Lash, T L & Sørensen, H T 2021, ' Predicting Sex-Specific Non-Fatal Suicide Attempt Risk Using Machine Learning and Data from Danish National Registries ', American Journal of Epidemiology, vol. 190, no. 12, pp. 2517–2527 . https://doi.org/10.1093/aje/kwab112
Gradus, J L, Rosellini, A J, Horváth-Puhó, E, Jiang, T, Street, A E, Galatzer-Levy, I, Lash, T L & Sørensen, H T 2021, ' Predicting Sex-Specific Non-Fatal Suicide Attempt Risk Using Machine Learning and Data from Danish National Registries ', American Journal of Epidemiology, vol. 190, no. 12, pp. 2517–2527 . https://doi.org/10.1093/aje/kwab112
Suicide attempts are a leading cause of injury globally. Accurate prediction of suicide attempts might offer opportunities for prevention. This case-cohort study used machine learning to examine sex-specific risk profiles for suicide attempts in Dani
Autor:
Rachel Sayko Adams, Erzsébet Horváth-Puhó, Jaimie L. Gradus, Amy E. Street, Anthony J. Rosellini, Tammy Jiang, Timothy L. Lash, Henrik Toft Sørensen, Katherine M. Keyes, Magdalena Cerdá
Publikováno v:
Adams, R S, Jiang, T, Rosellini, A J, Horváth-Puhó, E, Street, A E, Keyes, K M, Cerdá, M, Lash, T L, Sørensen, H T & Gradus, J L 2021, ' Sex-Specific Risk Profiles for Suicide Among Persons with Substance Use Disorders in Denmark ', Addiction, vol. 116, no. 10, pp. 2882-2892 . https://doi.org/10.1111/add.15455
Addiction
Addiction
Background and aims Persons with substance use disorders (SUDs) are at elevated risk of suicide death. We identified novel risk factors and interactions that predict suicide among men and women with SUD using machine learning. Design Case-cohort stud
Autor:
Henrik Toft Sørensen, Timothy L. Lash, Tammy Jiang, Anthony J. Rosellini, Jaimie L. Gradus, Amy E. Street, Erzsébet Horváth-Puhó, Brian Shiner
Publikováno v:
Jiang, T, Rosellini, A J, Horváth-Puhó, E, Shiner, B, Street, A E, Lash, T L, Sorensen, H T & Gradus, J L 2021, ' Using machine learning to predict suicide in the 30 days after discharge from psychiatric hospital in Denmark ', British Journal of Psychiatry, vol. 219, no. 2, pp. 440-447 . https://doi.org/10.1192/bjp.2021.19
Br J Psychiatry
Br J Psychiatry
BackgroundSuicide risk is high in the 30 days after discharge from psychiatric hospital, but knowledge of the profiles of high-risk patients remains limited.AimsTo examine sex-specific risk profiles for suicide in the 30 days after discharge from psy
Publikováno v:
Psychological trauma : theory, research, practice and policy.
Despite growing numbers of veteran women, it is unclear whether the impact of common postdeployment mental health concerns on key aspects of family functioning varies by gender. We examined whether associations between PTSD, depression, and problemat
Autor:
Rachel L. Zelkowitz, Tammy Jiang, Erzsébet Horváth-Puhó, Amy E. Street, Timothy L. Lash, Henrik T. Sørensen, Anthony J. Rosellini, Jaimie L. Gradus
Publikováno v:
J Affect Disord
Zelkowitz, R L, Jiang, T, Horváth-Puhó, E, Street, A E, Lash, T L, Sørensen, H T, Rosellini, A J & Gradus, J L 2022, ' Predictors of nonfatal suicide attempts within 30 days of discharge from psychiatric hospitalization : Sex-specific models developed using population-based registries ', Journal of Affective Disorders, vol. 306, pp. 260-268 . https://doi.org/10.1016/j.jad.2022.03.034
Zelkowitz, R L, Jiang, T, Horváth-Puhó, E, Street, A E, Lash, T L, Sørensen, H T, Rosellini, A J & Gradus, J L 2022, ' Predictors of nonfatal suicide attempts within 30 days of discharge from psychiatric hospitalization : Sex-specific models developed using population-based registries ', Journal of Affective Disorders, vol. 306, pp. 260-268 . https://doi.org/10.1016/j.jad.2022.03.034
Background: Risk for nonfatal suicide attempts is heightened in the month after psychiatric hospitalization discharge. Investigations of factors associated with such attempts are limited. Methods: We conducted a case-subcohort study using data from D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d5d78c0006bcd00306d68975f8c9f1e
https://europepmc.org/articles/PMC9062818/
https://europepmc.org/articles/PMC9062818/
Publikováno v:
Violence Against Women. :107780122211479
This qualitative study provides a platform for women veterans to inform our perspective of their experienced impacts following military sexual trauma (MST). We engaged 23 women veterans in semistructured interviews and used a grounded theory-informed