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Subarachnoid Haemorrhage (SAH) is a type of stroke which is suggested to result in Executive Functioning (EF) deficits. Within the SAH research, EF is typically assessed as a unitary cognitive construct. Therefore, the nature and extent to which the different components of EF are impacted post SAH remain unclear. In this meta-analysis, 10 studies met selection criteria including 248 SAH participants, treated by endovascular coiling. Participants were assessed by EF measures and compared with 230 controls. Searches were conducted in November 2018 including Medline, PsychINFO, Web of Science, Scopus and CINAHL databases. EF measures were assigned to categories including Cognitive Flexibility, Working Memory, Inhibitory Control and Planning/Problem Solving [Diamond, 2013. Executive functions. Annual Review of Psychology, 64(1), 135-168. https://doi.org/10.1146/annurev-psych-113011-143750]. A statistically significant effect was found for overall EF. Cognitive Flexibility (G = -0.76) and Inhibitory Control (G = -0.51) generated moderate effect sizes, while Working Memory and Planning/Problem Solving found a small effect size (G = -0.45 and G = -0.49, respectively). The I2 statistic suggested small to moderate heterogeneity between studies, hypothesized to relate to different cognitive tools. Underlying components of EF appear to be differentially impacted post SAH, with Cognitive flexibility demonstrating the largest degree of deficit. Recommendations for a standardized and uniform assessment of EF post SAH are outlined.

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Heart failure (HF) is a chronic medical condition rapidly growing in prevalence. Evidence links HF to cognitive decline, obesity, and psychological distress. The current study examined the association between cognitive function and ejection fraction (EF%), anxiety, depression, and obesity in inpatient HF. Patients completed the Generalized Anxiety Disorder 7-Item Scale (GAD-7), Patient Health Questionnaire 9-Item Scale (PHQ-9), and Mini-Cog while hospitalized for HF. Additional demographic and medical information was gathered via chart review. All models controlled for age. Of 117 patients assessed (49% male), 55% (n = 64) were obese. ANCOVA analyses were conducted comparing those with obesity and without on cognitive function: model A included EF%, model B included depression, and model C included anxiety. All three models were significantly related to cognitive function. There was a significant interaction effect of EF% and obesity and of anxiety and obesity to predict Mini-Cog scores. Post hoc partial correlational analyses revealed that anxiety was negatively associated with Mini-Cog scores among only patients without obesity. Depression was not significantly related to cognitive function in either group. However, patients with obesity demonstrated higher depression and anxiety than patients without. Results suggest that at lower EF%, and with higher anxiety, patients without obesity may be at greater risk of cognitive dysfunction than those with obesity. Cognitive dysfunction among HF patients with obesity may be independent of psychological distress. These findings may reflect the "obesity paradox" observed among HF patients, in that patients with obesity may have a different biopsychosocial presentation, which may lead to unexpected clinical outcomes. Further research is necessary to articulate the relationship of obesity and cognitive function in HF.

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AIMS: To evaluate the degree and pattern of functional difficulties in mild cognitive impairment (MCI) via direct observation of everyday task performance. METHODS: MCI (n = 25), mild Alzheimer's disease (AD; n = 25), and control (n = 18) participants performed three everyday tasks of increasing complexity. RESULTS: Although caregivers reported no functional difficulties in MCI, direct observation measures of overall impairment and total errors showed MCI participants performed worse than controls, but better than AD participants, even on simple tasks. MCI and control participants exhibited significantly more difficulty performing steps accurately (i.e. commission errors) than completing task steps (i.e. omission errors), but AD participants showed an even distribution of commissions and omissions. CONCLUSIONS: Diagnostic criteria for MCI should specify mild functional deficits due to the inefficient and imprecise execution of task steps. Functional deficits characterized by omission of major task segments may indicate a diagnosis of dementia.

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