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Prevalence of Depression and Clinical Anxiety in Patients with Cardiovascular Disease

Authors :
Mauricio Cervigni
Juan Pablo Mora-Penagos
José Bonet
Soraya Kerbage
Pablo Martino
Source :
CONICET Digital (CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas, instacron:CONICET
Publication Year :
2017
Publisher :
Savvy Science Publisher, 2017.

Abstract

Depression and Clinical Anxiety predict a worse prognosis for Cardiovascular Disease (CVD). Recent studies warn of high rates of clinical depression and anxiety in patients with CVD. The reported percentages range over a wide range. In order to provide new data on the prevalence of Depression and Clinical Anxiety in CVD, the psychological state of 70 Argentine adults attending a Cardiovascular Rehabilitation Program was surveyed. Two psychological scales were administered: the Beck Anxiety Inventory and the Beck Depression Inventory II. It was observed a 17.1% of participants with probable Major Depressive Disorder and a 27.1% with probable Clinical Anxiety. The results of the current study are in accordance with the percentages reported by previous studies. A significant number of patients presented comorbidity between Clinical Depression and Anxiety. No differences were found by gender. It is recommended that healthprofessionals take into consideration the high prevalence of Clinical Depression and Anxiety in patients with CVD. Fil: Martino, Pablo Luis. Universidad Nacional de Rosario. Facultad de Psicología. Secretaria de Ciencia y Tecnología. Centro de Investigación En Neurociencias de Rosario; Argentina Fil: Mora-Penagos, Juan Pablo. Cruz Roja Argentina; Argentina Fil: Kerbage, Soraya. Fundación Favaloro; Argentina Fil: Cervigni, Mauricio Alejandro. Universidad Nacional de Rosario; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Bonet, Jose luis. Fundación Favaloro; Argentina

Details

ISSN :
23131047
Volume :
4
Database :
OpenAIRE
Journal :
Journal of Psychology and Psychotherapy Research
Accession number :
edsair.doi.dedup.....e38096771e2ad7b4e0c13d25b095bfc9