Purpose: The aim of this review was to provide a comprehensive analysis of the state of knowledge about post-stroke depression (PSD) in the acute phase, focusing on: (a) the prevalence of depressive disorder and depressive symptoms, (b) the dominant depressive symptoms, (c) the factors associated with PSD and (d) the follow-up consequences.
Method: A computer-aided search in MEDLINE, CINAHL, PsychInfo, EMBASE, British Nursing index, Pub Med and Ovid Nursing Database was performed. We systematically searched for studies including depression within the first month after stroke.
Results: Forty articles including more than 5400 informants from 37 cohorts met the inclusion criteria. Only a few studies aimed to describe the nature of PSD. The prevalence of depressive disorder and depressive symptoms in the acute phase ranged widely from 5% to 54%. Multiple tools were used for measuring depressive symptoms in the acute phase. An association was found between early depressive symptoms and the continuation of PSD 12 months after stroke. There is a correlation between depressive symptoms and mortality at 12 and 24 months.
Conclusion: Depressive symptoms are common in the acute phase after stroke and associated with persistency of depression and mortality after 12 months. A gold standard for the measurement of depressive symptoms in relation to stroke is missing. The knowledge of PSD in the acute phase is still limited, and there is a need for continued empirical research on its profile and patterns.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3109/09638288.2010.505997 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The influence of sociodemographic and health factors on adherence to home-based rehabilitation after fast-track total knee arthroplasty: secondary analysis of a randomized controlled trial.
Disabil Rehabil
January 2025
Clinic Institute of Medical and Surgical Specialties (ICEMEQ), Hospital Clinic of Barcelona, Barcelona, Spain.
Purpose: Adherence to home rehabilitation following total knee arthroplasty (TKA) is essential to reach optimal functional outcomes, especially in fast-track procedures. The aim of this study is to identify which sociodemographic and health factors significantly affect adherence in this context.
Methods: This is a secondary analysis of a randomized controlled trial with 52 patients.
EEG-derived brainwave patterns for depression diagnosis via hybrid machine learning and deep learning frameworks.
Appl Neuropsychol Adult
January 2025
Faculty Xavier Institute of Engineering, Mahim, India.
In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.
View Article and Find Full Text PDFTesting the Feasibility, Acceptability, and Potential Efficacy of an Innovative Digital Mental Health Care Delivery Model Designed to Increase Access to Care: Open Trial of the Digital Clinic.
JMIR Ment Health
January 2025
Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Background: Mental health concerns have become increasingly prevalent; however, care remains inaccessible to many. While digital mental health interventions offer a promising solution, self-help and even coached apps have not fully addressed the challenge. There is now a growing interest in hybrid, or blended, care approaches that use apps as tools to augment, rather than to entirely guide, care.
View Article and Find Full Text PDFAssociations between affect variability, mean affect, and mental health among college students during the COVID-19 pandemic.
J Am Coll Health
January 2025
Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania, USA.
The purpose of the study was to test whether associations between affect variability and mental health (i.e., anxiety symptoms, depressive symptoms, flourishing) differ by mean levels of affect during the COVID-19 pandemic.
View Article and Find Full Text PDFDepression, mental health culture, and graduate students: A low-cost, poster-based intervention using attribution messages.
J Am Coll Health
January 2025
Division of Behavioral and Organizational Sciences, Claremont Graduate University, Claremont, California, USA.
: This research effort developed, implemented, and evaluated an inexpensive poster campaign designed to influence on-campus mental health culture and stigma. : 124 students at a Californian graduate-only university participated in the evaluation. : A single-group, pretest-posttest, quasi-experimental design tested the effect of exposing graduate students to posters carrying attribution-based messages.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!