This review article assesses the effectiveness and limitations of strategies to reduce falls among hospitalized older adults with frailty and dementia. It explores the efficacy of existing fall prevention strategies for a cohort that is acutely susceptible to falls and fall-related consequences. A systematic literature search was conducted across MEDLINE, Embase, CINAHL, and PsycINFO, employing Medical Subject Headings (MeSH) to identify studies on fall prevention strategies in hospitalized older adults with both dementia and frailty published from 2013 to 2023. The initial 643 records were distilled to eight articles, with Structured Interdisciplinary Bedside Rounds (SIBR) emerging as a notable intervention. SIBR demonstrated a reduction in falls by fostering improved interdisciplinary communication and care planning. However, a decline in family engagement during consecutive sessions suggests a need for strategies to sustain familial involvement. The findings advocate for patient-centered interventions that address the cognitive and functional challenges faced by this cohort of older adults. This review advocates for comprehensive and inclusive research in hospital environments to improve fall prevention strategies for frail older adults with dementia.

Advanced glycation end products (AGEs) accumulate in the brain, leading to neurodegenerative conditions such as Alzheimer\'s disease (AD). The pathophysiology of AD is influenced by receptors for AGEs and toll-like receptor 4 (TLR4). Protein glycation results in irreversible AGEs through a complicated series of reactions involving the formation of Schiff\'s base, the Amadori reaction, followed by the Maillard reaction, which causes abnormal brain glucose metabolism, oxidative stress, malfunctioning mitochondria, plaque deposition, and neuronal death. Amyloid plaque and other stimuli activate macrophages, which are crucial immune cells in AD development, triggering the production of inflammatory molecules and contributing to the disease\'s pathogenesis. The risk of AD is doubled by risk factors for atherosclerosis, dementia, advanced age, and type 2 diabetic mellitus (DM). As individuals age, the prevalence of neurological illnesses such as AD increases due to a decrease in glyoxalase levels and an increase in AGE accumulation. Insulin\'s role in proteostasis influences hallmarks of AD-like tau phosphorylation and amyloid β peptide clearance, affecting lipid metabolism, inflammation, vasoreactivity, and vascular function. The high-mobility group box 1 (HMGB1) protein, a key initiator and activator of a neuroinflammatory response, has been linked to the development of neurodegenerative diseases such as AD. The TLR4 inhibitor was found to improve memory and learning impairment and decrease Aβ build-up. Therapeutic research into anti-glycation agents, receptor for advanced glycation end products (RAGE) inhibitors, and AGE breakers offers hope for intervention strategies. Dietary and lifestyle modifications can also slow AD progression. Newer therapeutic approaches targeting AGE-related pathways are needed.

UNASSIGNED: To systematically evaluate the effects of telehealth interventions on the caregiver burden and mental health of caregivers for people with dementia (PWD).
UNASSIGNED: Relevant randomized controlled trials (RCTs) of telehealth interventions on caregivers were extracted from nine electronic databases (PubMed, The Cochrane Library, Web of Science, Embase, CINAHL, SinoMed, CNKI, WanFang, and VIP). The retrieval time was from inception to 26 July 2023.
UNASSIGNED: Twenty-two articles with 2132 subjects were included in the final analysis. The meta-analysis demonstrated that telehealth interventions exerted a significant effect in reducing caregiver burden (SMD: -0.14, 95 % CI: -0.25, -0.02, p = 0.02), depression (SMD = -0.17; 95%CI: -0.27, -0.07, p < 0.001) and stress (SMD = -0.20, 95%CI: -0.37, -0.04, p = 0.01). However, no statistically significant effect was observed on anxiety (SMD = -0.12, 95%CI: -0.27, 0.03, p = 0.12). Moreover, subgroup analysis showed that tailored interventions were associated with more evident reductions in depression (SMD = -0.26; 95%CI: -0.40, -0.13, p < 0.001) than standardized interventions (SMD = -0.08; 95%CI: -0.22, 0.06, p = 0.25). In addition, telehealth was effective in relieving depression in Internet-based (SMD = -0.17, 95%CI: -0.30, -0.03, p = 0.01) and Telephone-based group (SMD = -0.18, 95%CI: -0.34, -0.02, p = 0.03), while there was no significant difference in the Internet and Telephone-based group (SMD = -0.18, 95%CI: -0.54, 0.18, p = 0.32).
UNASSIGNED: Telehealth could effectively reduce the burden and relieve the depression and stress of caregivers of PWD, while its effect on anxiety requires further research. Overall, telehealth has potential benefits in dementia care.

BACKGROUND: Rates of dementia are increasing in migrant populations, however, there is evidence that they remain underrepresented in older adult healthcare services. Barriers and facilitators to accessing dementia care have been explored from the viewpoint of migrants and caregivers, however, no review has synthesised the literature pertaining to clinicians\' viewpoints. This review aimed to explore clinician perspectives as to the barriers and facilitators in assessing and diagnosing dementia in migrant populations.
METHODS: A systematic review of the literature was conducted. Databases included EMBASE, CINAHL, PsycINFO, MEDLINE and ProQuest. Qualitative studies from the perspective of European clinicians were included. The methodological quality of each study was assessed using the Critical Appraisals Programme Tool (CASP). The analysis adopted a thematic synthesis approach.
RESULTS: The review included 11 qualitative studies relating to the diagnosis of dementia in migrants. The quality of the studies was generally high, although few studies reported on the relationship between the researcher and the participants. The data related more to the barriers in diagnosing dementia, and few facilitators were found. Four themes were constructed: (1) service access (2) perceptions of migrant beliefs (3) relationships and (4) quality of the diagnostic process.
CONCLUSIONS: The review is limited by the small number of studies available. The findings highlight significant clinical concerns in the diagnosis of migrants, in particular the underrepresentation of migrants within services and the barriers to access they may face. The quality of the diagnostic process was often thought to be undermined by a lack of culturally sensitive assessment tools. Further research on the use of an interpreter in diagnosing dementia is needed.

UNASSIGNED: Portable digital health technologies (DHTs) could help evaluate non-cognitive symptoms, but evidence to support their use in patients with dementia with Lewy bodies (DLB) is uncertain.
UNASSIGNED: 1) To describe portable or wearable DHTs used to obtain digital biomarkers in patients with DLB, 2) to assess the digital biomarkers\' ability to evaluate non-cognitive symptoms, and 3) to assess the feasibility of applying digital biomarkers in patients with DLB.
UNASSIGNED: We systematically searched databases MEDLINE, Embase, and Web of Science from inception through February 28, 2023. Studies assessing digital biomarkers obtained by portable or wearable DHTs and related to non-cognitive symptoms were eligible if including patients with DLB. The quality of studies was assessed using a modified check list based on the NIH Quality assessment tool for Observational Cohort and Cross-sectional Studies. A narrative synthesis of data was carried out.
UNASSIGNED: We screened 4,295 records and included 20 studies. Seventeen different DHTs were identified for assessment of most non-cognitive symptoms related to DLB. No thorough validation of digital biomarkers for measurement of non-cognitive symptoms in DLB was reported. Studies did not report on aspects of feasibility in a systematic way.
UNASSIGNED: Knowledge about feasibility and validity of individual digital biomarkers remains extremely limited. Study heterogeneity is a barrier for establishing a broad evidence base for application of digital biomarkers in DLB. Researchers should conform to recommended standards for systematic evaluation of digital biomarkers.

A growing body of research suggested that there was a link between poor periodontal health and systemic diseases, particularly with the early development of cognitive disorders, dementia, and depression. This is especially true in cases of changes in diet, malnutrition, loss of muscular endurance, and abnormal systemic inflammatory response. Our study aimed to determine the extent of these associations to better target the multi-level healthy aging challenge investigating the impact of periodontal disease on cognitive disorders (cognitive impairment and cognitive decline), dementia, and depression. We conducted a comprehensive literature search up to November 2023 using six different electronic databases. Two independent researchers assessed the eligibility of 7363 records against the inclusion criteria and found only 46 records that met the requirements. The study is registered on PROSPERO (CRD42023485688). We generated random effects pooled estimates and 95% confidence intervals (CI) to evaluate whether periodontal disease increased the risk of the investigated outcomes. The quality assessment revealed moderate quality of evidence and risk of bias. Periodontal disease was found to be associated with both cognitive disorders (relative risk (RR) 1.25, 95% CI 1.11-1.40, in the analysis of cross-sectional studies); cognitive impairment (RR 3.01, 95% CI 1.52-5.95 for longitudinal studies, cognitive decline); and dementia (RR 1.22, 95% CI 1.10-1.36). However, no significant increased risk of depression among subjects with periodontal disease was found (RR 1.07, 95% CI 0.95-1.21). Despite the association with two of the three explored outcomes, the available evidence on periodontal diseases and dementia, cognitive disorders, and depression is controversial due to several limitations. Therefore, further investigations involving validated and standardized tools are required.

OBJECTIVE: This systematic review aimed to identify barriers and facilitators to the implementation of physical activity programs for residents with dementia in aged care homes.
METHODS: A search was conducted using the databases Medline, PubMed, PsycINFO, CINAHL, Embase, and ProQuest, and captured articles were assessed for inclusion in the review. Included studies were appraised using the Mixed Methods Appraisal Tool (MMAT). Data extraction was performed for study characteristics, identified barriers and facilitators to physical activity implementation, and synthesised narratively.
RESULTS: Following full-text screening, 13 articles were included in the review. Reporting quality was high in the majority of studies (69 %). Overall, barriers to implementation of physical activity programs were linked to factors related to the resident or the aged care facility, rather than inherently with the physical activity itself. The most identified barriers were understaffing (62 %), resident fatigue or lack of motivation (46 %), distrust of staff (31 %), and fear of injury (31 %). The most identified facilitators were having a structured physical activity protocol (46 %), opportunities for social interaction (38 %), instructor-led sessions (38 %) and offering an individually tailored program (31 %).
CONCLUSIONS: Addressing barriers of understaffing and resident fatigue whilst simultaneously offering structured, personalised group physical activity programs led by instructors may help optimise implementation. Future research should focus on developing tailored implementation plans, evaluating their effectiveness and cost-effectiveness, and identifying best practices to support the delivery of physical activity interventions in residential aged care settings.
UNASSIGNED: CRD42022372308.

Alzheimer\'s disease (AD) is a neurological disorder that significantly impairs cognitive function, leading to memory loss and eventually death. AD progresses through three stages: early stage, mild cognitive impairment (MCI) (middle stage), and dementia. Early diagnosis of Alzheimer\'s disease is crucial and can improve survival rates among patients. Traditional methods for diagnosing AD through regular checkups and manual examinations are challenging. Advances in computer-aided diagnosis systems (CADs) have led to the development of various artificial intelligence and deep learning-based methods for rapid AD detection. This survey aims to explore the different modalities, feature extraction methods, datasets, machine learning techniques, and validation methods used in AD detection. We reviewed 116 relevant papers from repositories including Elsevier (45), IEEE (25), Springer (19), Wiley (6), PLOS One (5), MDPI (3), World Scientific (3), Frontiers (3), PeerJ (2), Hindawi (2), IO Press (1), and other multiple sources (2). The review is presented in tables for ease of reference, allowing readers to quickly grasp the key findings of each study. Additionally, this review addresses the challenges in the current literature and emphasizes the importance of interpretability and explainability in understanding deep learning model predictions. The primary goal is to assess existing techniques for AD identification and highlight obstacles to guide future research.

OBJECTIVE: 40-60% of persons living with dementia (PLWD) experience agitation and/or aggression symptoms. There is a need to understand the best method to detect agitation and/or aggression in PLWD. We aimed to identify agitation and/or aggression tools that are validated against a reference standard within the context of PLWD.
METHODS: Our study was registered on PROSPERO (CRD42020156708). We searched MEDLINE, Embase, and PsycINFO up to April 22, 2024. There were no language or date restrictions. Studies were included if they used any tools or questionnaires for detecting either agitation or aggression compared to a reference standard among PLWD, or any studies that compared two or more agitation and/or aggression tools in the population. All screening and data extraction were done in duplicates. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. Data extraction was completed in duplicates by two independent authors. We extracted demographic information, prevalence of agitation and/or aggression, and diagnostic accuracy measures. We also reported studies comparing the correlation between two or more agitation and/or aggression tools.
RESULTS: 6961 articles were screened across databases. Six articles reporting diagnostic accuracy measures compared to a reference standard and 30 articles reporting correlation measurements between tools were included. The agitation domain of the Spanish NPI demonstrated the highest sensitivity (100%) against the agitation subsection of the Spanish CAMDEX. Single-study evidence was found for the diagnostic accuracy of commonly used agitation scales (BEHAVE-AD, NPI and CMAI).
CONCLUSIONS: The agitation domain of the Spanish NPI, the NBRS, and the PAS demonstrated high sensitivities, and may be reasonable for clinical implementation. However, a limitation to this finding is that despite an extensive search, few studies with diagnostic accuracy measurements were identified. Ultimately, more research is needed to understand the diagnostic accuracy of agitation and/or aggression detection tools among PLWD.

Environmental factors resulting from climate change and air pollution are risk factors for many chronic conditions including dementia. Although research has shown the impacts of air pollution in terms of cognitive status, less is known about the association between climate change and specific health-related outcomes of older people living with dementia. In response, we outline a scoping review protocol to systematically review the published literature regarding the evidence of climate change, including temperature and weather variability, on health-related quality of life, morbidity, mobility, falls, the utilization of health resources, and mortality among older adults living with dementia. This scoping review will be guided by the framework proposed by Arksey and O\'Malley. Electronic search (Medline, Embase, PsycINFO, CINAHL, Scopus, Web of Science) using relevant subject headings and synonyms for two concepts (older people with dementia, weather/ climate change). No publication date or other restrictions will be applied to the search strategy. No language restriction will be applied in order to understand the impact of non-English studies in the literature. Eligible studies must include older adults (65+years) with dementia living in the community and investigate the impacts of climate change and/or weather on their health-related quality of life, morbidity, mobility, falls, use of health resources and mortality. Two independent reviewers will screen abstracts and select those for a full-text review, perform these reviews, select articles for retention, and extract data from them in a standardized manner. This data will then be synthesized and interpreted. OSF registration: DOI: 10.17605/OSF.IO/YRFM8.