Depressed Mood after Stroke: Predictive Factors at Six Months Follow-Up

Fidel López-Espuela, Raúl Roncero-Martín, Maria de la Luz Canal-Macías, Jose M. Moran, Vicente Vera, Adela Gomez-Luque, Alejandro Lendinez-Mesa, Juan Diego Pedrera-Zamorano, Ignacio Casado-Naranjo and Jesus Lavado-García
Additional contact information
Fidel López-Espuela: Metabolic Bone Diseases Research Group, Nursing Department, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain
Raúl Roncero-Martín: Metabolic Bone Diseases Research Group, Nursing Department, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain
Maria de la Luz Canal-Macías: Metabolic Bone Diseases Research Group, Nursing Department, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain
Jose M. Moran: Metabolic Bone Diseases Research Group, Nursing Department, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain
Vicente Vera: Department of Stomatology II, School of Dentistry, Complutense University, 28040 Madrid, Spain
Adela Gomez-Luque: Metabolic Bone Diseases Research Group, Nursing Department, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain
Alejandro Lendinez-Mesa: Nursing Department, Faculty of Health Sciences, Alfonso X el Sabio University, 28691 Madrid, Spain
Juan Diego Pedrera-Zamorano: Metabolic Bone Diseases Research Group, Nursing Department, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain
Ignacio Casado-Naranjo: Department of Neurology, Complejo Hospitalario De Cáceres, 10004 Cáceres, Spain
Jesus Lavado-García: Metabolic Bone Diseases Research Group, Nursing Department, Nursing and Occupational Therapy College, University of Extremadura, 10003 Cáceres, Spain

IJERPH, 2020, vol. 17, issue 24, 1-11

Abstract: We aimed to know the prevalence of post-stroke depression (PSD) in our context, identify the variables that could predict post-stroke depression, by using the Hamilton Depression Rating Scale, occurring within six months after stroke, and identify patients at high risk for PSD. Methods: descriptive, cross-sectional and observational study. We included 173 patients with stroke (transient ischemic attack (TIA) included) and collected sociodemographic and clinical variables. We used the Hamilton Depression Scale (HDS) for depression assessment and Barthel Index and modified Rankin Scale (mRS) for functional assessment. The neurological severity was evaluated by the National Institutes of Health Stroke Scale (NIHSS). Results: 35.5% were women, aged 71.16 (±12.3). Depression was present in 42.2% patients ( n = 73) at six months after stroke. The following variables were significantly associated with PSD: diagnosis of previous depression ( p = 0.005), the modified Rankin Scale at discharge ( p = 0.032) and length of hospital stay ( p = 0.012). Conclusion: PSD is highly prevalent after stroke and is associated with the severity, left location of the stroke, and the degree of disability at discharge. Its impact justifies the evaluation and early treatment that still continues to be a challenge today.

Keywords: cerebrovascular disease; depression; disability; Hamilton Depression Rating Scale; post-stroke depression; stroke (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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