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Cognitive Impairment, Dementia and Depression in Older Adults

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Geriatric Medicine".

Deadline for manuscript submissions: 20 March 2026 | Viewed by 962

Special Issue Editors


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Guest Editor
Department of Psychiatry, Chosun University School of Medicine, Gwangju 61452, Republic of Korea
Interests: sleep, circadian rhythm, and cognitive function in older adults; circadian rhythm; depression in patients with delayed sleep phase disorder (DSPD)

E-Mail Website
Guest Editor
Department of Psychiatry, Chosun University School of Medicine, Gwangju 61452, Republic of Korea
Interests: brain imaging in older adults and patients with dementia; the early detection of cognitive decline; identification of Alzheimer’s disease biomarkers; the clinical significance of subjective memory complaints

Special Issue Information

Dear Colleagues,

Cognitive impairment, dementia, and late-life depression are increasingly prevalent among older adults and are often interconnected through shared pathways and overlapping clinical features. Notably, depression is highly comorbid with neurodegenerative diseases such as Parkinson’s disease and is recognized as both a risk factor and an early symptom of dementia.

This Special Issue aims to investigate the approaches to the diagnosis, management, and treatment of cognitive impairment, dementia, and depression in older adults from a clinical perspective.

We invite submissions that integrate clinical and neuropsychological evaluations, and artificial intelligence (AI)-based predictive modeling. Particular interest is given to interdisciplinary approaches bridging medicine and neuroscience, including the development of AI models for predicting depression and Parkinson’s disease, and understanding their shared pathways with dementia.

This Special Issue seeks ​high-quality clinical research that focuses on the interplay between neurodegeneration and mood disorders, machine learning applications in geriatric mental health, and systems-level models of brain aging. By combining data science and clinical insight, this Special Issue seeks to promote innovative strategies for early detection, personalized prediction, and intervention in aging-related cognitive and affective disorders.

Dr. Seong Jae Kim
Prof. Dr. Ilhan Choo
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cognitive impairment
  • dementia
  • depression
  • Parkinson’s disease
  • artificial intelligence (AI)
  • predictive modeling

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Published Papers (1 paper)

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Research

19 pages, 307 KB  
Article
Epidemiology of Cognitive Impairments: Demographic and Clinical Predictors of Memory and Attention Challenges—Findings from Twelve National Disability Indicators
by Ahmed Alduais, Hind Alfadda and Hessah Saad Alarifi
J. Clin. Med. 2025, 14(18), 6390; https://doi.org/10.3390/jcm14186390 - 10 Sep 2025
Viewed by 865
Abstract
Background: Cognitive difficulties involving memory and concentration significantly affect individuals’ daily functioning and quality of life, influenced by demographic, clinical, and socio-environmental factors. This study aimed to examine the national prevalence and distribution of cognitive difficulties in Saudi Arabia, explore regional and [...] Read more.
Background: Cognitive difficulties involving memory and concentration significantly affect individuals’ daily functioning and quality of life, influenced by demographic, clinical, and socio-environmental factors. This study aimed to examine the national prevalence and distribution of cognitive difficulties in Saudi Arabia, explore regional and gender disparities, and identify demographic and clinical predictors. Methods: Data were obtained from the 2017 Saudi National Disability Survey, a population-based, cross-sectional study involving 20.4 million Saudi citizens. Twelve indicators related to cognitive difficulty—covering severity, educational and marital status, consanguinity, duration, causes, and regional distribution—were analyzed, integrating baseline population data from three national surveys. Results: Results indicated that 1.1% (224,408 individuals) reported cognitive difficulties, predominantly alongside other disabilities (1.0%), while only 0.2% reported it exclusively. Cognitive difficulties were significantly higher in Al-Riyadh and Makkah Al-Mokarramah, with residents of Aseer and Hail facing doubled odds compared to Najran. Gender disparities were evident; males predominated in extreme severity and congenital or accident-related cases, whereas females showed higher proportions of disease-related causes, mild severity, and prolonged disability (≥25 years). Independent predictors included severe and extreme severity, disease-related causes, consanguinity, and long duration. Conclusions: These findings highlight critical regional and gender-based inequities and underscore the need for targeted policies emphasizing early detection, gender-sensitive interventions, and region-specific resource allocation to meet Saudi Arabia’s Vision 2030 objectives for inclusive health and social services. Full article
(This article belongs to the Special Issue Cognitive Impairment, Dementia and Depression in Older Adults)
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