Aim: The aim of the present study was to describe the lived experience of stroke survivors suffering from depressive symptoms in the acute phase; addressing the following questions: (a) what is the nature of depression as experienced by post-stroke patients in the acute phase? (b) what is it like to live with depression within the first weeks following stroke?
Background: Post-stroke depression occurs in at least one quarter of stroke survivors and is linked to poorer outcomes.
Method: This qualitative study is methodologically grounded in hermeneutic phenomenology, influenced by van Manen and Ricoeur. A descriptive, qualitative design was used applying in-depth interviews as the method of data collection with nine participants. The data collection took place in 2008.
Results: The material revealed two main themes that generate the feeling and description of 'living a life in shades of grey': (a) being trapped and (b) losing oneself. 'Shades of grey' could be understood as being confined in a new life-world and losing oneself as the person one knew.
Conclusion: The participants confirmed suffering from depressive symptoms, but depression was not seen as meaningful on its own. They related their experiences of post-stroke depression in the acute phase to the losses they experienced. Nurses ought to take into account the depth of the life changes that stroke survivors may experience. There is a need for continued empirical research on how nurses may help and support stroke survivors dealing with depressive symptoms in the acute phase after stroke and how depressive symptoms develop over time.
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http://dx.doi.org/10.1111/j.1365-2648.2011.05855.x | DOI Listing |
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.
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 PDFJMIR 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 PDFJ 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 PDFJ 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 PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!