Pre-morbid personality and depression following stroke

Storor, David L.; Byrne, Gerard

doi:10.1017/s1041610206003188

Cited by 54 publications

(56 citation statements)

References 37 publications

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“…In the same way, the finding for the capacity of emotional reactivity in this sample to predict elevated depression symptoms three months later may also indicate premorbid personality traits, such as neuroticism, that are well-established risk factors for this disorder [25]. Previous clinical studies of stroke patients have underscored the role of this trait [26,27,28], including estimates that high premorbid neuroticism conveys a 4.6-fold risk of PSD [29]. Moreover, the lack of correlation between stroke location and occurrence of PSD reported in a recent meta-analysis does not support the reverse hypothesis that negative cognitions may be caused by resulting lesions [30].…”

Section: Discussionmentioning

confidence: 83%

Evolution of Depression Symptoms following Stroke: A Prospective Study Using Computerized Ambulatory Monitoring

Sibon

Lassalle-Lagadec²,

Renou³

et al. 2012

Cerebrovasc Dis

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Background: Despite the high prevalence and impact of post-stroke depression (PSD), questions persist concerning the nature and stability of PSD over time. The current study uses state-of-the-art computerized ambulatory monitoring techniques to assess daily life depression symptoms following stroke and examines the evolution of depression levels over a three-month period. Methods: 48 patients admitted to a university hospital neurology unit for ischemic or hemorrhagic stroke participated in ambulatory monitoring of DSM-IV depression symptoms for a one-week period after hospital discharge. Clinician-administered measures of depression were also obtained at discharge and again three months later. Results: The percentage of the sample with elevated depression scores was the same at discharge and three months later, but consistency in depression profiles was low. Ambulatory monitoring revealed that elevated depression levels at hospital discharge were most strongly associated with anhedonia (t ratio = 4.840, p < 0.001) and fatigue (t ratio = 4.00, p < 0.001), whereas individuals with elevated scores at three months were predicted by daily life negative thoughts (t ratio = 4.051, p < 0.001), anxious mood (t ratio = 3.489, p < 0.01), sad mood (t ratio = 2.621, p < 0.05) and emotional reactivity (t ratio = 2.466, p < 0.05). Conclusions: The prevalence of depression may appear stable during the immediate weeks and months following stroke, but it is likely to be composed of very different symptom profiles. The immediate physical and psychological impact of stroke may induce somatic symptoms that explain elevated depression levels and which may not indicate a risk factor for later depression.

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Section: Discussionmentioning

confidence: 83%

Evolution of Depression Symptoms following Stroke: A Prospective Study Using Computerized Ambulatory Monitoring

Sibon

Lassalle-Lagadec²,

Renou³

et al. 2012

Cerebrovasc Dis

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“…These 379 studies with their full text were retrieved and reviewed for eligibility, and 300 were excluded because of ineligible study design and outcome measures. The 79 studies met all the criteria, and these were selected for initial inclusion; after review, a total of 36 articles (Kotila et al, 1998; Pohjasvaara et al, 1998; Aben et al, 2002, 2006; Carota et al, 2005; Tang et al, 2005, 2011; Leentjens et al, 2006; Storor and Byrne, 2006; Brodaty et al, 2007; Lee et al, 2007; Lindén et al, 2007; van de Port et al, 2007; Fuentes et al, 2009; Jimenez et al, 2009; Schepers et al, 2009; Snaphaan et al, 2009; Farner et al, 2010; Ayerbe et al, 2011; Altieri et al, 2012; de Man-van Ginkel et al, 2013; Yang et al, 2013, 2015; Zhang et al, 2013; De Ryck et al, 2014a,b; Li et al, 2014; Ahn et al, 2015; Lewin-Richter et al, 2015; Shi et al, 2015; van Mierlo et al, 2015; Koh et al, 2016; Kootker et al, 2016; Malhotra et al, 2016; Metoki et al, 2016; Tsai et al, 2016) were included in the final analysis ( Figure 1 ).…”

Section: Resultsmentioning

confidence: 99%

Risk Factors for Post-stroke Depression: A Meta-analysis

Shi

Yang

Zeng

et al. 2017

Front. Aging Neurosci.

212

151

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Background: Stroke not only impacts patients physically but also economically. Post-stroke depression (PSD), as a common complication of stroke, always obstructs the process of stroke rehabilitation. Accordingly, defining the risk factors associated with PSD has extraordinary importance. Although there have been many studies investigating the risk factors for PSD, the results are inconsistent.Objectives: The objectives of this study were to identify the risk factors for PSD by evidence-based medicine.Data sources: A systematic and comprehensive database search was performed of PubMed, Medline, CENTRAL, EMBASE.com, the Cochrane library and Web of Science for Literature, covering publications from January 1, 1998 to November 19, 2016.Study Selection: Studies on risk factors for PSD were identified, according to inclusion and exclusion criteria. The risk of bias tool, described in the Cochrane Handbook version 5.1.0, was used to assess the quality of each study. Meta-analysis was performed using RevMan 5.3 software.Results: Thirty-six studies were included for review. A history of mental illness was the highest ranking modifiable risk factor; other risk factors for PSD were female gender, age (<70 years), neuroticism, family history, severity of stroke, and level of handicap. Social support was a protective factor for PSD.Conclusion: There are many factors that have effects on PSD. The severity of stroke is an important factor in the occurrence of PSD. Mental history is a possible predictor of PSD. Prevention of PSD requires social and family participation.

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“…2,3 A relationship between coping style and fatigue was found earlier in a study of patients with stroke. 11 In studies on patients with ischemic stroke, also a bivariate relation was found between neuroticism 12 and avoidance coping style 13 with poststroke depression. This emphasizes the need to take personality into account as a potential vulnerability factor for depression.…”

Section: Discussionmentioning

confidence: 97%

Long-Term Health-Related Quality of Life After Aneurysmal Subarachnoid Hemorrhage

Visser-Meily

Rhebergen

Rinkel

et al. 2009

Stroke

161

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Background and Purpose-Many patients who survive an aneurysmal subarachnoid hemorrhage experience decreased health-related quality of life (HRQoL). Physical factors have been identified as determinants of HRQoL. We describe long-term HRQoL and assessed whether psychological symptoms and personality characteristics determine HRQoL after subarachnoid hemorrhage. Methods-In a cross-sectional study in 141 patients living independently in the community 2 to 4 years after subarachnoid hemorrhage, we assessed whether HRQoL, evaluated by the Stroke Specific Quality of Life scale, was related to psychological symptoms (mood disorders, fatigue, and cognitive complaints), personality characteristics (neuroticism and passive coping style), demographic characteristics, and subarachnoid hemorrhage disease characteristics. Results-Best Stroke Specific Quality of Life scale scores were found in the physical domain and worst in the emotional and social domains. Thirty-two percent reported anxiety, 23% depression, and 67% fatigue. Mood (beta between Ϫ0.42 and Ϫ0.18), fatigue (beta between Ϫ0.40 and Ϫ0.24), and cognitive complaints (beta between Ϫ0.46 and Ϫ0.16) were strongly associated with Stroke Specific Quality of Life scale scores in multivariate regression analyses. Conclusion-Depression, anxiety, and fatigue were present in a substantial proportion of patients and were strongly related to decreased HRQoL. These symptoms identified are helpful to tailor rehabilitation to the needs of patients in the chronic phase after subarachnoid hemorrhage.

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Pre-morbid personality and depression following stroke

Abstract: Background: Depressive disorders and depressive symptoms occur commonly

Cited by 54 publications

References 37 publications

Evolution of Depression Symptoms following Stroke: A Prospective Study Using Computerized Ambulatory Monitoring

Evolution of Depression Symptoms following Stroke: A Prospective Study Using Computerized Ambulatory Monitoring

Risk Factors for Post-stroke Depression: A Meta-analysis

Long-Term Health-Related Quality of Life After Aneurysmal Subarachnoid Hemorrhage

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