Background: Several subjective scales have been used to measure cognitive complaints in patients with schizophrenia, such as the Self-Assessment Scale of Cognitive Complaints in Schizophrenia (SASCCS), which was designed to be clear, simple, and easy to use. This study aimed to examine the ability of SASCCS as a validated tool to collect and assess subjective cognitive complaints of patients with schizophrenia.
Methods: A cross-sectional study among 120 patients with schizophrenia was performed between July 2019 and Mars 2020 at the Psychiatric Hospital of the Cross, Lebanon. The SASCCS was used to assess how patients with schizophrenia perceived their cognitive impairment.
Results: The internal consistency of the SASCCS scale was 0.911, and the intra-class correlation coefficient was 0.81 (p < 0.001), suggesting a good stability over time. The factor analysis of the SASCCS scale showed a 5-factor solution using the Varimax rotated matrix. The SASCCS total score positively correlated with their own factors. A negative correlation was found between the objective cognitive scale and subjective cognitive complaints, which were positively correlated with clinical symptoms and depression. No significant association was found between insight and subjective cognitive complaints.
Conclusion: The SASCCS scale showed appropriate psychometric properties, with high internal consistency, good construct validity, and adequate concurrent validity, which makes it valuable for the evaluation of subjective cognitive complaints in patients with schizophrenia.
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http://dx.doi.org/10.1186/s12888-023-04925-3 | DOI Listing |
Neurology
February 2025
Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, the Netherlands.
Background And Objectives: Identifying genetic causes of dementia in patients visiting memory clinics is important for patient care and family planning. Traditional clinical selection criteria for genetic testing may miss carriers of pathogenic variants in dementia-related genes. This study aimed identify how many carriers we are missing and to optimize criteria for selecting patients for genetic counseling in memory clinics.
View Article and Find Full Text PDFJ Gerontol B Psychol Sci Soc Sci
January 2025
Herbert and Jacqueline Krieger Klein Alzheimer's Research Center, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA.
Objectives: The oldest old adults (90+) constitute the fastest growing demographic at highest dementia risk among older adults. Depression, a common risk factor, inherently presents with heterogeneous clinical manifestations. Here, we explored the associations of the predominant depression dimensions with cognition in the LifeAfter90 study.
View Article and Find Full Text PDFInt Psychogeriatr
January 2025
Department of Psychology, Lehman College/City University of New York, Bronx, NY 10468, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Electronic address:
Objectives: Depression is a chronic disorder that significantly affects functional decline in older adults, especially those with type 2 diabetes (T2D). Ethnic groups may experience different depression risks and severities, yet the effect of ethnicity on depression trajectories and specific dimensions in older adults with T2D remains largely unexamined. We examined the longitudinal associations of ethnicity with depression and its specific dimensions over time in older Ashkenazi and non-Ashkenazi Jews with T2D.
View Article and Find Full Text PDFInt J Environ Res Public Health
December 2024
Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore 639798, Singapore.
Background: Current research highlights the importance of addressing multiple risk factors concurrently to tackle the complex etiology of dementia. However, limited evidence exists on the efficacy of technology-driven, multidomain community-based interventions for preventing cognitive decline.
Objectives: To evaluate the efficacy of ADL+, an artificial intelligence (AI)-enabled digital toolkit integrating cognitive assessments and multidomain interventions, on outcomes of cognitive function, activity levels, and quality of life in older adults at risk of cognitive decline.
Neuropsychologia
January 2025
Hulusi Behcet Life Sciences Research Laboratory, Neuroimaging Unit, Istanbul University, 34093, Istanbul, Turkey; Department of Neurology, Behavioral Neurology and Movement Disorders Unit, Istanbul Faculty of Medicine, Istanbul University, 34093, Istanbul, Turkey.
This study aimed to investigate prospective memory (PM) in patients with memory complaints but without dementia (PWD) and correlate findings with resting-state functional connectivity (rsFC) alterations. We hypothesized that PM impairment would be evident at a certain relatively early point in the continuum and specific rsFC patterns would be the neuroimaging signature of this impairment. Sixty PWD participated in the study.
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