The current study aims to investigate the influence of socio-demographic factors on the Montreal Cognitive Assessment (MoCA) test results in a Greek-speaking population consisting of a sample of healthy older adults, individuals with mild cognitive impairment (MCI), and dementia patients in rural areas. In addition, the current research focuses on determining optimal cut-off scores for the clinical diagnoses of MCI and dementia. The data originated from 283 participants in an ongoing registry of the Neurology Department of Alexandroupolis University Hospital, recruited in different rural districts of north-eastern Greece, across a broad range of educational and occupational categories. Total and sub-domain scores for the MoCA varied significantly, according to sex, age, and education, among the three study groups. The optimal cut-off points of 25/26 for the MoCA total score was determined to classify healthy subjects from individuals with MCI, 24 to discriminate healthy participants from demented, and 21/22 to discriminate subjects with MCI from dementia. Overall, the clinical use of the MoCA test can be supported by demographically adjusted standard scores in a Greek-speaking rural population. These findings serve to improve the diagnostic accuracy and utility of the MoCA test.

The growing number of stroke survivors face physical, cognitive, and psychosocial impairments, making stroke a significant contributor to global disability. Various factors have been identified as key predictors of post-stroke outcomes. The aim of this study was to develop a standardized predictive model that integrates various demographic and clinical factors to better predict post-stroke cognitive recovery and depression in patients with ischemic stroke (IS). We included IS patients during both the acute phase and six months post-stroke and considered neuropsychological measures (screening scales, individual tests, functional cognitive scales), stroke severity and laterality, as well as functional disability measures. The study identified several key predictors of post-stroke cognitive recovery and depression in IS patients. Higher education and younger age were associated with better cognitive recovery. Lower stroke severity, indicated by lower National Institutes of Health Stroke Scale (NIHSS) scores, also contributed to better cognitive outcomes. Patients with lower modified Rankin Scale (mRS) scores showed improved performance on cognitive tests and lower post-stroke depression scores. The study concluded that age, education, stroke severity and functional status are the most critical predictors of cognitive recovery and post-stroke emotional status in IS patients. Tailoring rehabilitation strategies based on these predictive markers can significantly improve patient outcomes.

Neurocognitive disorders (NCDs) are progressive conditions that severely impact cognitive function and daily living. Understanding the transition from mild to major NCD is crucial for personalized early intervention and effective management. Predictive models incorporating demographic variables, clinical data, and scores on neuropsychological and emotional tests can significantly enhance early detection and intervention strategies in primary healthcare settings. We aimed to develop and validate predictive models for the progression from mild NCD to major NCD using demographic, clinical, and neuropsychological data from 132 participants over a two-year period. Generalized Estimating Equations were employed for data analysis. Our final model achieved an accuracy of 83.7%. A higher body mass index and alcohol drinking increased the risk of progression from mild NCD to major NCD, while female sex, higher praxis abilities, and a higher score on the Geriatric Depression Scale reduced the risk. Here, we show that integrating multiple factors—ones that can be easily examined in clinical settings—into predictive models can improve early diagnosis of major NCD. This approach could facilitate timely interventions, potentially mitigating the progression of cognitive decline and improving patient outcomes in primary healthcare settings. Further research should focus on validating these models across diverse populations and exploring their implementation in various clinical contexts.

Background/Objectives: Instrumental Activities of Daily Living (IADL) are the key indicators of the autonomy and functional ability in older adults with neurocognitive disorders (NCDs). However, the specific predictors of IADL performance across the NCD spectrum remains insufficiently characterized. This study aimed to identify the cognitive, motor, and caregiver-related determinants of the IADL in individuals with minor and major NCDs. Methods: A cross-sectional study was conducted involving 117 participants referred from a university-based dementia clinic. Standardized tools were administered to evaluate their IADL performance (Lawton IADL Scale), cognition [Addenbrooke’s Cognitive Examination III (ACE-III)], Functional Cognitive Assessment Scale (FUCAS)], motor functions, balance, and mobility [Tinetti Test, Timed Up and Go (TUG)], emotional status [Geriatric Depression Scale (GDS)], neuropsychiatric symptoms [Neuropsychiatric Inventory (NPI)], and caregiver burden [Zarit Burden Interview (ZBI)]. Multiple regression analyses were performed to identify the significant predictors of IADL performance. Results: In the total sample (n = 117), the IADL performance was significantly predicted via ACE-III, FUCAS, and Tinetti-balance (adjusted R² = 0.729). In the minor NCD group (n = 41), the significant predictors included sex, FUCAS, GDS, Tinetti-balance, and TUG (adjusted R² = 0.725). In the major NCD group (n = 76), ACE-III, FUCAS, and Tinetti-balance remained the significant predictors (adjusted R² = 0.634). Female sex and a worse profile on the other variables were associated with lower IADL scores. Conclusions: Global cognitive decline, executive dysfunction in everyday problem-solving situations, and balance impairment are the key determinants of IADL performance across both minor and major NCDs. Female sex and depressive symptoms further predicted the IADL performance in the minor NCD group. These findings highlight the need for multidisciplinary assessment and intervention strategies to promote health and autonomy and preserve the functional independence in older adults with NCDs.

Minor neurocognitive disorders (NCDs) represent a transitional phase between normal cognitive aging and dementia, highlighting the importance of early interventions. This study assessed the efficacy of a structured 6-month computerized cognitive training (CCT) program in stabilizing cognitive decline among older adults with minor NCDs. One hundred participants were randomly assigned to an intervention group or a non-intervention group. The intervention group underwent weekly, personalized CCT sessions using the MeMo program, which targeted memory, attention, and adaptability. Cognitive performance was measured at baseline and after six months using the Cambridge Cognitive Examination (CAMCOG). Statistical analysis showed significant cognitive decline in the non-intervention group in orientation (p = 0.032), language expression (p = 0.008), praxis (p = 0.008), and memory (p = 0.01). In contrast, the intervention group showed no significant changes, except for a minor decline in perception (p = 0.003). These results suggest that CCT may help delay cognitive deterioration in minor NCDs. However, while cognitive decline was stabilized, no significant improvement was observed. Further research is recommended to investigate the long-term benefits and the transferability of cognitive gains. The findings support the use of CCT as a non-pharmacological health promotion strategy for enhancing cognitive resilience in aging populations. The novelty of this research lies in its focus on adaptive CCT as a non-pharmacological intervention, highlighting the potential role of neuroplasticity in delaying cognitive decline and offering new insights into personalized cognitive health strategies for aging populations.

Background/Objectives: Instrumental Activities of Daily Living (IADL) are key indicators of autonomy and functional ability in older adults with neurocognitive disorders (NCDs). Their performance is influenced by cognitive, motor, and psychosocial factors. However, specific predictors of IADL performance across the NCD spectrum is less well-characterized. This study aimed to identify cognitive, motor, and caregiver-related determinants of IADL in individuals with minor and major NCDs. Methods: A cross-sectional study was conducted in 117 participants referred from a university dementia clinic. Standardized tools for IADL (Lawton IADL Scale), cognition [Addenbrooke’s Cognitive Examination III (ACE-III)], Functional Cognitive Assessment Scale (FUCAS)], motor functions, balance, and mobility [Tinetti Test, Timed Up and Go (TUG)], emotional status [Geriatric Depression Scale (GDS)], neuropsychiatric symptoms [Neuropsychiatric Inventory (NPI)], and caregiver burden [Zarit Burden Interview (ZBI)] were administered. Multiple regression analyses were performed to identify predictors of IADL score. Results: In the total sample (n=117), IADL performance was significantly predicted by ACE-III, FUCAS, and Tinetti-balance, explaining 75.1% of IADL variance. In minor NCD group (n=41), IADL performance was predicted by FUCAS, Tinetti-balance, and ZBI (adjusted R² =0.697). In major NCD group (n=76), ACE-III, FUCAS, Tinetti-balance, and disease duration were significant predictors (adjusted R²=0.673). For all models, worse profile on the previous variables predicted impaired IADL. Conclusions: Global cognitive decline, executive dysfunction in everyday problem-solving situations, balance impairment, and caregivers’ burden are critical determinants of IADL in NCDs. Comprehensive assessments and multidisciplinary interventions, including caregiver support, are essential for health promotion by preserving autonomy and functional independence in older adults.