Cognitive Impairment in Schizophrenia: Current Perspective

Aich, Tapas Kumar; Mahato, Akash Kumar; Subedi, Sandip

doi:10.3126/jpan.v5i1.18324

Cited by 2 publications

(2 citation statements)

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“…Cognitive impairments are frequently moderate to a serious degree, seem to present across the life span, stable over time, obvious at the time of the first episode of illness and most likely originate before the disorder (Aich et al, 2016). It has been found that the cognitive impairments most commonly described in patients with schizophrenia comprise processing speed, attention, visual and verbal learning, working memory, abstract thinking, problem solving and social cognition (Kaneko, 2018; Marder, 2006).…”

Section: Introductionmentioning

confidence: 99%

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Correlating cognitive functions to symptom domains and insight in Egyptian patients with schizophrenia

Khalil

El-Meguid

Bastawy

et al. 2020

Int J Soc Psychiatry

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Introduction: Cognitive impairment is one of the fundamental features among patients with schizophrenia. The relationship between schizophrenia symptoms, insight and cognitive domains remains controversial. We aimed to study these relations in a sample of Egyptian patients with schizophrenia. Methods: A total of 109 patients with schizophrenia were assessed using Structured Clinical Interview for DSM-IV ( Diagnostic and Statistical Manual of Mental Disorders (4th ed.)) Axis I diagnosis (SCID-I), Positive and Negative Syndrome Scale (PANSS) and Scale to Assess Unawareness of Medical Disorder (SUMD). Cognitive functions were assessed using the Wechsler Adult Intelligence Scale (WAIS), the Wisconsin Card Sorting Test (WCST) and the Wechsler Memory Scale (WMS). The cognitive functions would be distributed to cover six cognitive domains: attention/vigilance speed of processing, verbal learning, visual learning, working memory and reasoning/problem solving. Results: There was a significant correlation between all cognitive domains (except attention) and PANSS subscales. PANSS negative and general psychopathology subscales were significantly correlated with five cognitive domains: speed of processing, verbal learning, visual learning, working memory and reasoning/problem solving. PANSS negative subscale was significantly correlated with verbal learning (verbal paired association 1) and visual learning (visual paired association 1). There was a significant correlation between all cognitive domains and SUMD, except verbal and visual learning domains assessed by verbal and visual paired association 1 subtests, as well as attention assessed by failure to maintain set subtest. Only visual learning (trials administered), working memory (percentage error), and processing speed (perseverative responses, and trials to complete first category) were significantly negatively correlated to SUMD. Conclusion: Cognitive impairment in patients with schizophrenia is most likely to underlie negative symptoms, general psychopathology symptoms and poor insight, suggesting that treatment strategies minimizing these symptoms would improve cognitive impairment.

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Section: Introductionmentioning

confidence: 99%

“…Almost all patients with schizophrenia are undermined in their capacity to function in the community because of cognitive impairment (Aich et al, 2016; Bowie & Harvey, 2006). Therapeutic modalities for cognitive impairment include pharmacological treatments and cognitive remediation.…”

Section: Introductionmentioning

confidence: 99%

Correlating cognitive functions to symptom domains and insight in Egyptian patients with schizophrenia

Khalil

El-Meguid

Bastawy

et al. 2020

Int J Soc Psychiatry

View full text Add to dashboard Cite

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Contribution of Rainfall Intensity to Flooding in Ozoro, Delta State, Nigeria

Collins Ojoh,

Odigwe,

Prince Ike

et al. 2024

International Journal of Innovative Science and Research Techno

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The frequency and risk of flash floods in Ozoro have increased due to climate change and intense rainfall events. The territory was divided into five pre- existing communities throughout the three-month research period, which ran from July to September 2023. Measurements were made to ascertain the flood's volume, area, length, and depth. Using a regular rain gauge with a moveable geo-referenced device, rainfall data was gathered. The rainfall total for July 2023 dropped to 6732.6 mm, and by September of the same year, it further reduced to 1121.5mm. This resulted in a flood that covered an area of 6435m2 and had a volume of 14431.4m3 . The neighbourhood that experienced the highest level of flooding was Oruamahdu Quarters, with an average depth of 0.6 metres. The average rainfall rate is 89.7 millimetres per hour, suggesting heavy rainfall. The most return rainfall occurred in July, while the least amount occurred in August. The calculated F value of 77.34 indicates a substantial correlation between the volume of rainfall and the flood volume in Ozoro. Flood flow decreased at a rate of 11.57 m3/day over the study period. In Ozoro, the increasing intensity of rainfall is responsible for 85.6% of floods. To help city planners visualise the combined dangers of floods and drainage, the rainfall intensity-duration- frequency (IDF) curve should be employed as a metric for climate adaptation.

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Cognitive Impairment in Schizophrenia: Current Perspective

Abstract: Impairments in a variety

Cited by 2 publications

References 50 publications

Correlating cognitive functions to symptom domains and insight in Egyptian patients with schizophrenia

Correlating cognitive functions to symptom domains and insight in Egyptian patients with schizophrenia

Contribution of Rainfall Intensity to Flooding in Ozoro, Delta State, Nigeria

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