Sep 2026· International Journal of Community Medicine and Public Health· 0 citations· 15 references
Abstract
Background: The cognitive decline risk screening tool (CDRST) was developed using the modified Delphi technique for adults aged 40 to 60 years to identify cognitive decline risk. This pilot study assessed the tool's internal consistency and developed preliminary cut-off scores.
Methods: Community-dwelling adults aged 40 to 60 years who attended the outpatient clinic were included through convenience sampling. Analysis included descriptive statistics, Cronbach’s alpha, an inter-item correlation matrix with Spearman's rank correlation, and scale cutoff scores identified using the standard deviation method (Mean±SD).
Results: 103 individuals participated, with a mean age of 50.1±6.55 years. Cronbach's alpha was 0.81, and the inter-item correlation matrix ranged from -0.02 to 0.62, indicating low to moderate correlations. A cut-off score of ≥43.64 (≥Mean+1SD) was noted, with 14.56% as high risk.
Conclusions: The CDRST showed good reliability, with all items contributing to the tool's overall construct, and exploratory score cutoffs provided a preliminary risk-stratification framework.
ABSTRACT Introduction Early detection of neurocognitive disorders is crucial for timely intervention in older adults. The Six‐Item Cognitive Impairment Test (6‐CIT) is a brief screening tool designed for rapid cognitive assessment, but a validated Persian version has not been available to date. This study aimed to tran...
Seyed Mohammad Mahdi Sadeghi, Amirreza Esmaeili, M. Pourshams et al.· Brain and Behavior· 0 citations
Introduction: In India, cognitive decline is increasingly recognised as a midlife concern; one in ten individuals exhibits signs of cognitive decline after age 45 years. Demographic variations, lifestyle behaviours, and physical and mental capacities influence heterogeneous trajectories of cognitive function. Declines...
Agrima Aggarwal, Neha Jain· Journal of Clinical and Diag...· 0 citations
Among Chinese older adults living in the community, CESD score, napping, nighttime sleep, being female, and memory level were identified as independent risk factors for MCI, underscore the importance of implementing screening and preventive strategies to mitigate MCI risk in this demographic.
Qingpan Wen, Xin-Lin Zhou, Chang-Yi Xie et al.· Actas espanolas de psiquiatr...· 0 citations
PURPOSE
The study aims to develop a Short-Form Cognitive Scale (SCS) for rapid in-person cognitive assessment among community-dwelling older adults in China.
METHODS
In a cross-sectional study of 3259 community-dwelling adults aged ≥65 years in China, we developed and evaluated a 15-item SCS derived from the Mini-Men...
Jia-Yi Li, Hua-Fang Zhang, Lu Fang et al.· Geriatric Nursing· 0 citations
Background: Community health check-ups routinely collect non-cognitive data. Whether these support mild cognitive impairment (MCI) triage, and whether machine learning outperforms regression, is unclear. Methods: Cross-sectional analysis of 2650 community-dwelling adults aged ≥65 in Akita, Japan (2018–2025). MCI was de...
Ayuto Kodama, Takako Ohnuma, Kana Sasaki et al.· Geriatrics· 0 citations
Objective: The Mayo Test Drive (MTD) screening battery is a digital, self-administered, web-based cognitive assessment (Stricker et al., 2025 TCN). We aimed to compare diagnostic accuracy of raw versus normative score approaches to distinguishing cognitively unimpaired (CU) from mild cognitive impairment/mild dementi...
Morgan A. Hughes, Alyssa N. Kaser, Elizabeth A. Boots et al.· Archives of Clinical Neurops...· 0 citations
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