Background: Depressive symptoms have been linked to increased cardiovascular mortality among the elderly. This study was aimed to test the independent and additive predictive value of depressive symptoms and B-type natriuretic peptide (BNP), a marker of direct cardiovascular stress and a strong predictor of mortality, together with traditional cardiovascular risk markers on total and cardiovascular mortalities in a general elderly population.
Methods: A total of 508 subjects aged 75 or older participated in the study. The prognostic capacity of depressive symptoms and BNP in regard to total and cardiovascular mortalities was assessed with Cox regression analyses. Depressive symptoms were handled as a dichotomous variable based on the Zung self-rated depression scale score with a cut-off point of 40.
Results: The median follow-up time was 84 months with an interquartile range of 36-99 months. Depressive symptoms reflected susceptibility to all-cause (HR 1·60; 95% CI 1·26-2·04) and cardiovascular mortalities (HR 1·81; 95% CI 1·30-2·52) only in univariable analyses. When cardiovascular illnesses and risk markers were taken into account, depressive symptoms lost their significance as an independent predictor of mortality. BNP as a continuous variable was a significant predictor of both all-cause (HR 1·44; 95% CI 1·22-1·69) and cardiovascular mortalities (HR 1·79; 95% CI 1·44-2·22) in fully adjusted models including depressive symptoms as a covariate.
Conclusions: The prognostic capacity of depressive symptoms is closely linked to cardiovascular morbidity and has no independent power in an elderly general population. BNP remains a strong harbinger of death regardless of depressive symptoms status.
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http://dx.doi.org/10.1111/eci.12262 | DOI Listing |
Disabil Rehabil
January 2025
Clinic Institute of Medical and Surgical Specialties (ICEMEQ), Hospital Clinic of Barcelona, Barcelona, Spain.
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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.
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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!