Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/71006
Título: Prevalence and predictors of psychological distress in congenital heart disease patients
Autores/as: Martínez-Quintana, Efrén 
Girolimetti, Angela
Jiménez-Rodríguez, Sara
Fraguela-Medina, Carla
Rodríguez-González, Fayna
Tugores Céster,Antonio 
Clasificación UNESCO: 320501 Cardiología
320105 Psicología clínica
Palabras clave: Anxiety
Congenital Heart Disease
Depression
Observational Descriptive Study
Quality Of Life
Fecha de publicación: 2020
Publicación seriada: Journal of Clinical Psychology 
Resumen: Objective To determine psychological distress in congenital heart disease (CHD) patients. Methods Cross-sectional study among consecutive CHD patients recruited from a single hospital outpatient clinic to determine anxiety and depression according to the Hospital Anxiety and Depression Scale (HADS) questionnaire. Results One hundred and sixty-nine CHD patients [29 (19-39) years old, 100 (59%) males] were studied. A total of 25% and 9% of CHD patients showed anxiety and depression symptoms, respectively. Patients with an HADS score >= 8 had a significantly worse New York Heart Association (NYHA) functional class, needed more psychological support, had more mental health history, and took more anxiolytic/antidepressant medication than the CHD patients with an HADS score below 8. A worse NYHA functional class [OR, 1.88 (1.01-3.52)] proved to be a predictor of a borderline/abnormal HADS score. Conclusion Psychological distress has a high prevalence among CHD patients and having an NYHA Class II and III is a significant predictor of an HADS score >= 8.
URI: http://hdl.handle.net/10553/71006
ISSN: 1097-4679
DOI: 10.1002/jclp.22948
Fuente: Journal of Clinical Psychology [ISSN 0021-9762], v. 76 (9), p. 1705-1718, (Septiembre 2020)
Colección:Artículos
Adobe PDF (430,8 kB)
Vista completa

Citas SCOPUSTM   

8
actualizado el 24-mar-2024

Citas de WEB OF SCIENCETM
Citations

1
actualizado el 10-ene-2021

Visitas

72
actualizado el 13-ene-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.