Cargando…
Modifiable predictors of suicidal ideation during psychotherapy for late-life major depression. A machine learning approach
This study aimed to identify subgroups of depressed older adults with distinct trajectories of suicidal ideation during brief psychotherapy and to detect modifiable predictors of membership to the trajectories of suicidal ideation. Latent growth mixed models were used to identify trajectories of the...
Autores principales: | Alexopoulos, George S., Raue, Patrick J., Banerjee, Samprit, Mauer, Elizabeth, Marino, Patricia, Soliman, Mohamed, Kanellopoulos, Dora, Solomonov, Nili, Adeagbo, Adenike, Sirey, Jo Anne, Hull, Thomas D., Kiosses, Dimitris N., Areán, Patricia A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523563/ https://www.ncbi.nlm.nih.gov/pubmed/34663787 http://dx.doi.org/10.1038/s41398-021-01656-5 |
Ejemplares similares
-
Comparing the Streamlined Psychotherapy “Engage” with Problem-Solving Therapy in Late-Life Major Depression. A Randomized Clinical Trial
por: Alexopoulos, George S, et al.
Publicado: (2020) -
Modifiable Predictors of Non-response to Psychotherapies for
Late-life Depression with Executive Dysfunction: A Machine Learning
Approach
por: Solomonov, Nili, et al.
Publicado: (2020) -
Use of Passive Sensing in Psychotherapy Studies in Late Life: A Pilot Example, Opportunities and Challenges
por: Lee, Jihui, et al.
Publicado: (2021) -
Message-based psychotherapy for older adults: A cohort comparison study
por: Raue, Patrick J., et al.
Publicado: (2022) -
Impact of US geographical regions on risk factors for suicidal ideation and suicide attempt
por: Xi, Wenna, et al.
Publicado: (2022)