scholarly journals Cognitive deficits, social support, depression and quality of life of post-stroke patients

2020 ◽  
Vol 38 (2) ◽  
pp. 153-165
Author(s):  
Flávia Sousa ◽  
Vânia Rocha ◽  
Clara Estima ◽  
São Luís Castro ◽  
Marina Prista Guerra

A stroke is a life-threatening event which has physical, emotional and cognitive consequences. Thisstudy aimed to identify differences between participants who suffered a stroke and healthy controls,concerning cognitive performance, depressive symptoms, social support and quality of life; to examinethe associations between these variables among participants who suffered a stroke; and to identify thevariables that best classify patients and controls. The sample included 30 patients who suffered astroke and 30 healthy participants. Both groups presented similar sociodemographic characteristics.All participants were assessed with The Institute of Cognitive Neurology Frontal Screening, theMontreal Cognitive Assessment, the Hospital Anxiety and Depression Scale, the Instrumental-Expressive Social-Support Scale, and the Short Form Health Survey-36. Post-stroke patients had lowercognitive performance, lower social support, lower quality of life and higher depressive symptomsthan the control group. Social support was positively related to quality of life and negatively relatedto depressive symptoms in the clinical group. Cognitive deficits and depressive symptoms correctlyclassified belonging to the clinical group in 85% of cases, and significantly predicted the stroke. Thisstudy underlines the importance of implementing psychological interventions addressing depressivesymptoms and cognitive rehabilitation for post-stroke patients.

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
David L Roth ◽  
Orla C Sheehan ◽  
Jin Huang ◽  
J. D Rhodes ◽  
Suzanne E Judd ◽  
...  

Background: Multiple previous investigations have documented persistent elevations in depressive symptoms after stroke for stroke survivors and for family caregivers. However, relatively few studies have examined both groups simultaneously, and none have tested for possible predictive linkages in longitudinal analyses. Methods: We collected interview data from 248 stroke survivors and their primary family caregivers who were enrolled in the Caring for Adults Recovering from the Effects of Stroke (CARES) project. CARES is an ancillary study to the national REasons for Geographic and Racial Differences in Stroke (REGARDS) study. Stroke survivors and caregivers were interviewed at 9-, 18-, 27- and 36-months after an adjudicated stroke event. Measures administered to both groups included the 20-item Center for Epidemiological Studies Depression Scale (CESD) and the 12-item Short Form Health Survey (SF-12) of health-related quality of life. Cross-lagged panel analyses were used to investigate linkages between stroke survivors and caregivers over time on these measures. Results: Clinically significant levels of depressive symptoms, as defined by a score of 16 or more on the CESD, were found for 17.0% of the stroke survivors and 13.7% of the caregivers at 9-months after stroke. Longitudinal models revealed that high stroke survivor depressive symptoms at 9-months post-stroke predicted increases in caregiver depressive symptoms at 18-months post-stroke (standardized adjusted regression coefficient = 0.18, p = 0.003). No longitudinal predictive effects were found for caregiver depressive symptoms on stroke survivor outcomes or for the SF-12 measures. Conclusions: Clinically significant levels of depressive symptoms were relatively rare 9-months after stroke in this population-based sample of stroke survivors and family caregivers. Stroke survivor depressive symptoms longitudinally predict caregiver depressive symptoms, but caregiver well-being was not found to longitudinally predict stroke survivor depression or quality of life. Treating elevated depressive symptoms in stroke survivors may also improve caregiver well-being.


2020 ◽  
pp. 112067212091269
Author(s):  
Mohammed Ali Abu Ameerh ◽  
Ghada Ismail Hamad

Objectives: To investigate the prevalence of depressive symptoms among diabetic patients suffering from retinopathy, and to identify crucial risk factors that affect patients’ quality of life and whether social support mediates the relationship between retinopathy and depression. Methods: The sample comprises 155 participants with diabetic retinopathy recruited from the Jordan University Hospital during the year 2017. Arabic versions of all study tools were employed as follows: the Beck Depression Inventory; the short form of the health survey; the Berlin social support scale; ophthalmic examinations; patients’ records; and a demographic questionnaire. Analyses: Descriptive statistics, the Pearson correlation, linear regression using SPSS, and mediation analysis using the Sobel test were applied. In addition, the odds ratio analysis and qualitative analyses for the open-ended questions were included. Results: In general, 13 (8.9%) of our patients did not manifest any symptoms of depression while 42 (27.1%) had a mild mood disturbance, 26 (16.8%) were on the borderline of clinical depression, 47 (30.3%) had moderate depression, 22 (14.2%) with severe depression, and 5 (3.2%) had extreme depression. The results indicate a nonsignificant positive correlation between social support and health-related quality of life and a nonsignificant positive relationship between retinopathy severity and depression. Meanwhile, our results revealed a significant negative relationship between depression and social support and a nonsignificant negative relationship between retinopathy severity and social support. Conclusion: Our findings suggest that diabetic patients with retinopathy have a higher risk of developing depression. Hence, psychological interventions are highly needed to meet the mental health needs of these patients.


2018 ◽  
Vol 7 (1) ◽  
Author(s):  
Adebisi Isiak Hammed ◽  
Ebere Ugboh

Study aim: The study determined the association between self-esteem, depression, social support and quality of life among patients with cerebrovascular accident (stroke) and spinal cord injury. Material and methods: The study adopted a cross-sectional survey research design. A total of 60 participants (30 stroke patients and 30 spinal cord injured patients) participated in this study. The selected psychosocial variables such as Depression and Self Esteem were assessed using Beck Depression Inventory Questionnaire (BDI) and Self Esteem Questionnaire (SE) respectively. Also, social support and quality of life were assessed using Social Support Questionnaire (SSQ6) and Short Form (SF-36) Health Questionnaire respectively. The association between social support, depression, self-esteem and quality of life in both spinal cord injury and stroke patients and the demographic variables were analyzed using Spearman rho. However, independent sample t-test was used to analyze the difference between social support, depression, self-esteem and quality of life in spinal cord injury and social support, depression, self-esteem and quality of life in stroke. Results: The outcome of this study showed that there is a significant difference in depression between both stroke and spinal cord injury patients (p<0.05). The findings also showed a significant association between depression, quality of life and age in stroke patients. Equally, there was a significant association between depression, social support, and age in spinal cord injury patients. Conclusion: It was therefore concluded that even though stroke patients receive more social support and have a higher quality of life, they are still more depressed and have lower self-esteem compared to spinal cord injury patients. It was thus recommended that physiotherapists and other health professionals should make an appropriate assessment of the quality of life, self-esteem, depression and social support of stroke and spinal cord injury patients to enable proper management of these individuals.


2019 ◽  
Vol 7 (3) ◽  
pp. 232-237
Author(s):  
Hana Larasati ◽  
Theresia Titin Marlina

Background: stroke is a disorder of nervous system function that occurs suddenly and is caused by brain bleeding disorders that can affect the quality of life physical dimensions, social dimensions, psychological dimensions, environmental dimensions. Based on the result of Lumbu study (2015) the number of samples were 71 people collected data using the (WHOQOL-BREF). There were 56 people (78,9%) had the poor quality of life of post stroke. The mean of post-stroke quality of life domain was physical domain (45,27%), psychological domain (49,87%), social relations domain (48,15%) and environmental domain (50.01%). Objective: the purpose of the study was know the quality of life of the stroke patients in Outpatient Polyclinic of Private Hospital in Yogyakarta. Methods: used descriptive quantitative by using questionnaire test of purposive sampling system based on patients who have been affected of ischemic or hemorrhagic stroke before, number 30 respondents. Result: quality of life of stroke patient of medium physical dimension (67%), psychological dimension (71%), social dimension (67%), dimension good environment (63%). Conclusion: the quality of life of stroke patients of physical dimension, psychological dimension, and moderate social dimension, while the quality of life of stroke patients were good environmental dimension.   Keywords: Hemorrhagic stroke, ischemic stroke, quality of life


BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e032889
Author(s):  
Solveigh Paola Lingens ◽  
Georgia Schilling ◽  
Julia Harms ◽  
Holger Schulz ◽  
Christiane Bleich

IntroductionIn recent years, medical treatment for cancer has improved, thereby increasing the life expectancy of patients with cancer. Hence, the focus in healthcare shifted towards analysing treatments that offer to decrease distress and improve the quality of life of patients with cancer. The psychological burden of patients with cancer originates from all kinds of psychosocial challenges related to diagnosis and treatment. Cancer counselling centres (CCounCs) try to address these concerns. However, the current literature lacks research on the effectiveness of CCounCs. This study aims to assess the effectiveness of CCounCs with regard to distress and other relevant psychosocial variables (quality of life, anxietyand so on).Methods and analysisThis prospective observational study with a non-randomised control group has three measurement points: before the first counselling session (baseline, t0) and at 2 weeks and 3 months after baseline (t1, t2). Patients and their relatives who seek counselling between December 2018 and November 2020 and have sufficient German language skills will be included. The control group will be recruited at clinics and oncological outpatient centres in Hamburg. Propensity scoring will be applied to adjust for differences between the control and intervention groups at baseline. Sociodemographic data, medical data and counselling concerns are measured at baseline. Distress (distress thermometer), quality of life (Short Form-8 Health Survey, European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaire-Core 30), anxiety (Generalized AnxietyDisorder-7), depression (Patient HealthQuestionnaire-9) and further psychosocial variables are assessed at all time points. With a total of 787 participants, differences between the intervention and control groups of a small effect size (f=0.10) can be detected with a power of 80%.Ethics and disseminationThe study was registered prior to data collection with the German Registration of Clinical Trials in September 2018. Ethical approval was received by the local psychological ethical committee of the Center for Psychosocial Medicine at the University Medical Centre Hamburg-Eppendorf in August 2018. The results will be published in peer-reviewed journals.Trial registration numberDRKS00015516; Pre-results.


2018 ◽  
Vol 3 (3) ◽  
pp. 237-245 ◽  
Author(s):  
Benjamin Hotter ◽  
Inken Padberg ◽  
Andrea Liebenau ◽  
Petra Knispel ◽  
Sabine Heel ◽  
...  

Introduction Detailed data on the long-term consequences and treatment of stroke are scarce. We aimed to assess the needs and disease burden of community-dwelling stroke patients and their carers and to compare their treatment to evidence-based guidelines by a stroke neurologist. Methods We invited long-term stroke patients from two previous acute clinical studies ( n = 516) in Berlin, Germany to participate in an observational, cross-sectional study. Participants underwent a comprehensive interview and examination using the Post-Stroke Checklist and validated standard measures of: self-reported needs, quality of life, overall outcome, spasticity, pain, aphasia, cognition, depression, secondary prevention, social needs and caregiver burden. Results Fifty-seven participants (median initial National Institutes of Health Stroke Scale score 10 interquartile range 4–12.75) consented to assessment (median 41 months (interquartile range 36–50) after stroke. Modified Rankin Scale was 2 (median; interquartile range 1–3), EuroQoL index value was 0.81 (median; interquartile range 0.70–1.00). The frequencies for disabilities in the major domains were: spasticity 35%; cognition 61%; depression 20%; medication non-compliance 14%. Spasticity ( p = 0.008) and social needs ( p < 0.001) had the strongest impact on quality of life. The corresponding items in the Post-Stroke Checklist were predictive for low mood ( p < 0.001), impaired cognition ( p = 0.015), social needs ( p = 0.005) and caregiver burden ( p = 0.031). In the comprehensive interview, we identified the following needs: medical review (30%), optimization of pharmacotherapy (18%), outpatient therapy (47%) and social work input (33%). Conclusion These results suggest significant unmet needs and gaps in health and social care in long-term stroke patients. Further research to develop a comprehensive model for managing stroke aftercare is warranted. Clinical Trial Registration: clinicaltrials.gov NCT02320994.


2009 ◽  
Vol 285 ◽  
pp. S117
Author(s):  
M. Sieminski ◽  
K. Chwojnicki ◽  
A. Ossowska ◽  
L. Wierucki ◽  
T. Zdrojewski ◽  
...  

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