Prevalence Of Mild Cognitive Impairment Research Articles

Evaluating Prevalence of Cognitive Impairment in Older People Living with HIV Served by a Community‐Based Organization in Colorado, USA

AbstractBackgroundOlder people living with HIV (PLWH) experience unique pathophysiology contributing to accelerated and accentuated aging when compared to older adults living without HIV. Indeed, cognitive dysfunction is a significant age‐related risk exacerbated by HIV. This study investigated prevalence of Mild Cognitive Impairment (MCI) in older PLWH by employing the Montreal Cognitive Assessment (MoCA), which has a high sensitivity for assessing cognitive performance, and its relationship with HIV health, socioeconomic status, and functional aptitude.MethodA cross‐sectional study was conducted in older PLWH ≥50 years receiving HIV‐related care and services at a Community‐Based Organization (CBO) between June and October 2022. The MoCA English Version (8.1) was used to screen cognitive performance. MCI was defined as MoCA scores 18‐26; 10‐17 for moderate cognitive impairment (MoCI); and ≤9 for dementia. Functional aptitude was measured by participants’ Ryan White Part A Wellness acuity scores (0‐41), where higher scores are indicative of lower functional aptitude.ResultDuring the study period, 31 participants were screened; 64.5% were male and 88.9% had virologic suppression. The median age was 60.7 (standard deviation [SD] 6.3) and the median years living with HIV was 23 years (SD 8.9). The median MoCA score was 23 (SD 3.5): 21 (67.7%) with MCI; 3 (9.7%) with MoCI. The median acuity score was 18 (SD 11.9): 21 (SD 11.8) for MCI; 28 (SD 8.5) for MoCI. Multivariable linear regression analysis revealed that a lower MoCA score was associated with lower educational attainment (≤12 years) (r = 0.671, p = 0.0276) and low annual income (r = 0.789, p = 0.0043). A higher acuity score was not significantly associated with MoCA scores.ConclusionA majority of older PLWH screened were within range for M/MoCI. Thus, it is both necessary and ethically responsible for CBO’s serving older PLWH to integrate routine cognitive screening to identify early and pre‐symptomatic stages of impairment, providing prompt services to reduce symptoms and improve health outcomes.

Prospective cohort of elderly patients after hospitalization due to COVID‐19: preliminary results

AbstractBackgroundPost Covid‐19 syndrome can cause cognitive impairment and may be associated with a higher risk of developing dementia in older people.MethodThis is a cohort study that is evaluating over 12 months the functional status and cognition of elderly people after hospital discharge. One group is composed of elderly people admitted to the hospital for Covid‐19 and the other group is composed of elderly people hospitalized for other clinical reasons. The groups are evaluated with The Mattis (DRS), AD8, ADCS‐ADL, PCL‐C, GDS‐15, FIM, COPM, CFS, FSS, mMRC and SARC‐calf. We will describe the preliminary results of the first 31 patients included in the COVID‐19 group on functional status, cognition, mood and quality of life.ResultThirty‐one patients with COVID‐19 were evaluated three months after hospital discharge. One was excluded due to previous mental disorder and another due to a request to be excluded from the study. We found a mean age of 69.55 ± 7.72 years, schooling 7.14 ± 4.48 years, 51.7% female, Charlson Comorbidity Index 2.21 ± 1.84, 48.3% with smoking history and 62.9% had incomplete vaccine protection for COVID‐19. Considering cognition, 13.9% of the sample had no impairment, 55.1% had mild cognitive impairment (MCI) (17.2% amnestic MCI and 37.9% non‐amnesic MCI) and 31% had dementia. 24.1% declared their health status and quality of life as fair or poor. Mean CFS was 4.45 ± 1.18, GDS‐15 4.28 ± 3.38, FSS 30.76 ± 19.24, PCL‐c 29.34 ± 10.41, SARC‐calf 4.03 ± 4.61. All had mMRC dyspnea classified between 1 and 4.ConclusionThere was a high prevalence of mild cognitive impairment and dementia among patients after three months of discharge, with a predominance of mild frailty due to CFS and the presence of fatigue. It is noteworthy that a quarter of the sample reported low quality of life.

Prevalence of mild cognitive impairment in an urban, community dwelling, elderly population and its association with Serum Vitamin B12 levels in South India.

AbstractBackgroundPrevalence of cognitive disorders is becoming higher in low and middle income societies with increasing lifespan1. Multiple factors contribute to emergence of cognitive disorders including genes, lifestyle, diet and nutrition, co‐morbid metabolic and vascular risk factors 2. There has been only a few studies from India, looking at the prevalence of cognitive impairment in the community. Ageing and dietary preferences pose a higher risk for B12 and Folic acid deficiencies, contributing to cognitive difficulties3. Our study aims to look at the prevalence of cognitive impairment in a community dwelling elderly population and the association of mild cognitive Impairment (MCI) with serum B12 levels.MethodA total of 308 individuals above the age of 60 were screened for medical issues and psychiatric illnesses. Those who fulfilled the intake criteria were evaluated using Subjective Memory Complaint Questionnaire (SMCQ), MOCA, ACE‐R or RUDAS and FAB. Serum B12 levels were evaluated for all the individuals.Result51.8 percent of individuals had normal cognitive function. The prevalence of cognitive impairment was 48.8%. Among these 42.3% of individuals had mild cognitive impairment. There was no significant correlation between MCI and Serum B12 levels in the screened population.ConclusionThere is a high prevalence of cognitive difficulties in the studied population.Dietary deficiency of Vitamin B12 does not appear to be a major factor contributing to the MCI. Alzheimer’s disease, vascular cognitive impairment and lifestyle and metabolic risk factors may need to be considered as contributory factors

The Bidirectional Association of TBI and Dementia/MCI among older US Veterans

AbstractBackgroundPrior studies have reported a link between traumatic brain injury (TBI) and risk of adverse neuropsychiatric outcomes including dementia. However it is unclear how prevalent these conditions are prior to TBI and if they are predisposing factors in addition to sequalae.MethodsWe studied older (age >55 years) US veterans who were followed for care at Veterans Affairs Medical Centers across the nation from 2000 to 2019. We first identified all veterans with an incident TBI diagnoses defined as no prior TBI diagnosis, having been seen in an emergency department (ED), having a brain imaging scan (primarily CT) within one day of ED visit and with a subsequent new TBI diagnosis in the electronic medical record (EMR). We then determined 2‐year age‐adjusted prevalence rates (rate per 1000 person‐years and 95% confidence interval or CI) for dementia and mild cognitive impairment (MCI) prior to and post incident TBI. We also compared prior TBI prevalence to prevalence among 1:3 matched (on age and index date) veterans without TBI.ResultsThere were 13,709 primarily male veterans with incident TBI with mean age of 77.7 sd 9.1 years, 81% were non‐Hispanic White. Compared to the 41,127 veterans without TBI (mean age = 77.9, sd 9.1), veterans prior to having an incident TBI had almost a six‐fold greater pre‐TBI age‐adjusted prevalence of dementia (104.9; 95% CI 100.8‐109.0 vs 18.6; 95% CI 17.6‐19.7, p<0.001) and MCI (48.0; 95% CI 45.2‐50.7 vs 8.1; 95% CI 7.4‐8.8, p<0.001). After the incident TBI diagnosis, the age‐adjusted prevalence rates were even higher: dementia (193.5; 95% CI 187.7‐199.2) and MCI (59.3; 95% CI 56.0‐62.6).ConclusionsAmong older US veterans, there is a bidirectional association with dementia/ MCI and TBI with very high prevalence prior to TBI (compared to those without TBI) and even greater prevalence after TBI. These findings highlight the importance of prevention strategies for both pre‐ and post‐TBI cognitive impairment.

Impact of insulin resistance on mild cognitive impairment in type 2 diabetes mellitus patients with non-alcoholic fatty liver disease

AimsInsulin resistance (IR) is a pivotal factor in the pathogenesis of type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD). Nevertheless, the impact of IR on cognitive dysfunction in T2DM patients with NAFLD remains inadequately understood. We aim to investigate the effect of IR on mild cognitive impairment (MCI) in T2DM individuals with NAFLD.Materials and methods143 T2DM individuals were categorized into Non-MCI and MCI groups, as well as Non-NAFLD and NAFLD groups. Clinical parameters and cognitive preference test outcomes were compared. Correlation and regression analyses were executed to explore the interconnections between IR and cognitive details across all T2DM patients, as well as within the subgroup of individuals with NAFLD.ResultsIn comparison to the Non-MCI group, the MCI group displayed elevated HOMA-IR levels. Similarly, the NAFLD group exhibited higher HOMA-IR levels compared to the Non-NAFLD group. Additionally, a higher prevalence of MCI was observed in the NAFLD group as opposed to the Non-NAFLD group. Notably, HOMA-IR levels were correlated with Verbal Fluency Test (VFT) and Trail Making Test-B (TMTB) scores, both related to executive functions. Elevated HOMA-IR emerged as a risk factor for MCI in the all patients. Intriguingly, increased HOMA-IR not only correlated with TMTB scores but also demonstrated an influence on TMTA scores, reflecting information processing speed function in patients with NAFLD.ConclusionIR emerges as a contributory factor to cognitive dysfunction in T2DM patients. Furthermore, it appears to underlie impaired executive function and information processing speed function in T2DM individuals with NAFLD.

Abstract 13947: Racial Differences in Peripheral Microvasculature's Association With Mild Cognitive Impairment

Introduction: Cardiovascular disease (CVD) and Alzheimer’s Dementia (AD) share numerous risk factors, with vascular dysfunction a common underlying mechanism. Individuals with mild cognitive impairment (MCI) have a high likelihood of developing AD in their lifetime. The link between microvascular dysfunction (MVD) and AD has yet to be fully established. Hypothesis: We examined the contribution of MVD to MCI with the hypothesis that Black Americans, who have a higher prevalence of MVD, will have higher rates of MCI. Methods: Participants >50 years with MCI or with normal cognition (NC) were enrolled for neuropsychological and microvascular function testing using peripheral arterial tonometry. Microvascular function was measured as the reactive hyperemia index (RHI) and calculated as the ratio of the post- to pre-occlusion pulse volume in the fingertip (EndoPAT). Multivariate analyses, adjusting for demographic and CVD risk factors associated with MCI, evaluated the relationship between RHI and MCI in Black and White participants. Causal mediation analysis, using the Monte Carlo approach, was performed to investigate whether the effect of RHI on MCI was mediated through plausible mediators, including risk factors. Results: Of 152 participants (NC=104, MCI=48), 41.4% were Black and 33.6% male. Participants with MCI were more likely to be Black (58.3% vs 33.7%%, p=0.007) and have lower RHI (1.93 vs 2.27, p=0.004) compared to NC. RHI was an independent predictor of MCI with a 96% adjusted greater odds of MCI per unit reduction in RHI. Black race remained an independent predictor of MCI (OR 2.90, 95% CI [1.16, 7.56]). RHI was lower in Black compared to White participants (1.86 vs 2.37, p<0.001). There was no heterogeneity in the impact of RHI on MCI. In a casual mediation analysis, MCI was mediated via RHI more in Black than in White participants (proportion mediated 24.2% vs 18.4%, p=0.034) after multivariate adjustment. Conclusions: Peripheral MVD, measured as RHI, was independently associated with MCI. Furthermore, Black participants exhibited lower RHI levels, a higher prevalence of MCI, and potentially mediated MCI through RHI to a greater extent compared to their White counterparts.

Rural-Urban Differences in Mild Cognitive Impairment Among Patients with Chronic Obstructive Pulmonary Disease in ChengDu, China.

The rural-urban gap in sociodemographic, lifestyle, and disease-related characteristics among COPD patients is prevalent. These differences may influence the prevalence of mild cognitive impairment (MCI). This study aimed to compare the prevalence and determinants of MCI between rural and urban areas among COPD patients. The cross-sectional study sample comprised 372 COPD patients from China. We evaluated the cognitive function and lung function, collected sociodemographic, lifestyle, and disease-related information, to compare the prevalence of MCI in rural and urban areas. Using multivariate regression analysis to examine the effects of variables to MCI. The prevalence of MCI in rural areas was higher than that in urban areas (65.4% vs 47.9%, P=0.001). The prevalence in farm laborers was almost twice as high as that of non-farm laborers in urban areas (82.6% vs 43.1%), but no significant difference in rural areas (P=0.066). However, the data were lower in subjects who insisted on long-term home oxygen therapy (39.7%, CI:27.8-51.6, P<0.001), and who with higher monthly household income (49.6%, CI:40.2-58.9) in rural areas, but no significant difference in urban areas (P=0.985 and 0.502). Multivariate logistic regression analysis indicated that participants aged 71 years and above, former smokers were at a high risk of MCI in both urban and rural areas. However, participants who slept for 6-8 hours a day, shopping frequently, or exercised for more than 2 hours a day had a lower risk of MCI in urban areas. But rural participants who insisted on long-term home oxygen therapy had a lower probability of developing MCI. This study revealed that there were significant differences in MCI among COPD patients in rural and urban areas, especially in exercise, sleeping, shopping, and long-term home oxygen therapy. Medical staff should give health guidance according to the actual situation of patients with COPD.

A single-stage population-based study of the prevalence of mild cognitive impairment in children of secondary school age.

Background: Various mild cognitive impairments in children are socially significant disorders that are often found in the practice of pediatric neurologists, but the apparent lack of epidemiological data does not allow us to judge the scale of the problem. &#x0D; Aims: The aim of the study was to assess the prevalence of combined mild cognitive disorders in a large cohort of Russian children, 5th grade students at school.&#x0D; Materials and methods: The results of the examination of Russian schoolchildren of municipalities representing cities of all federal districts of the Russian Federation (RF) are analyzed. Cognitive functions were tested, which consisted of six subtests. According to the results of testing, using the method of assessing cognitive functions in population studies, the frequency of assigning participants to a high-risk group of combined mild cognitive impairment and the probability of diagnosis of combined mild cognitive impairment were evaluated. The analysis of the links between the breadth of results performed at the level of mild cognitive impairment, integrative cognitive success, the results of individual cognitive subtests with academic performance and the leading hand factor was carried out. .&#x0D; Results: 1,067 5th grade students at school were included in the study, 1,036 participants completed it, 51% of them girls. Belonging to the cluster of integrative cognitive successes and representation of the leading hand had no gender differences, subtests for visual-spatial perception/memory and constructive practice were better performed by boys (p 0.001 and p = 0.020), and girls, as a rule, performed better subtests for verbal-logical thinking and voluntary activity. attention (p = 0.050 and p = 0.051). According to the results of cognitive testing, a high risk of combined mild cognitive impairment was detected in 30.2% of the examined, and the probability of diagnosis of combined mild cognitive impairment was 7.5%. It was found that of the studied factors, the breadth of the results obtained at the level of moderate cognitive impairment and the effectiveness of the verbal-logical thinking subtest are more related to academic performance. At the same time, the strength of these ties was very moderate. The image of the leading hand was in no way associated with cognitive factors, including academic performance at the level of moderate cognitive impairment, but left-handedness was partially associated with better academic performance in literature.&#x0D; Conclusions: The results of the study, conducted for the first time on a multi-regional cohort of Russian schoolchildren, demonstrated a wide scale of the potential prevalence of mild cognitive impairment in children, and also revealed a number of patterns in the neurobiology of cognitive development.

6 Depressive Symptoms are Associated With Decline Over Time in Verbal Fluency Performance in Female but not Male Community-Dwelling Older Adults

Objective:Late-life depression is prevalent among older adults and the presence of depressive symptoms has been shown to be associated cross-sectionally with worse verbal fluency performance. There is limited and mixed evidence as to whether depressive symptoms impact change in verbal fluency performance over time, and whether gender impacts this relationship.Participants and Methods:Participants were community-dwelling older adults who were dementia-free at baseline (N = 522; M age = 75.96, SD + 6.46 years). Baseline depressive symptoms were measured using the Geriatric Depression Scale. Category fluency and letter fluency performance, using the Controlled Oral Word Association Test (COWAT), were examined annually. Linear mixed effects models stratified by gender examined whether associations between baseline depressive symptoms and changes in fluency performance over five years were different in female (n = 289) as compared to male (n = 233) participants. Sensitivity analyses excluding participants with prevalent or incident mild cognitive impairment (MCI) (n = 141), excluding participants with incident dementia (n = 28), and excluding participants with prevalent or incident MCI or incident dementia (n = 169) were run. All analyses were adjusted for age, years of education, estimated premorbid functioning, and health comorbidities.Results:Depression was minimal across participants (m = 4.72, SD + 3.96). A subset of participants (n = 44) reported “possible depression,” namely levels suggestive of subclinical depression, according to clinical cutoffs. The “possible depression” group included 31 females (10.73% of females) and 13 males (5.58% of males), and the “no depression” group included 258 females (89.27% of females) and 220 males (94.42% of males). Baseline levels of depressive symptoms suggestive of subclinical depression were associated with worse decline in category fluency performance during longitudinal follow-up in females (estimate = -0.16, p = .002) but not males (estimate = -0.03, p = .658). Results remained the same when excluding prevalent and incident MCI cases (estimate = -0.19, p = .005), excluding incident dementia cases (estimate = -0.12, p = .017), and excluding prevalent and incident MCI and incident dementia cases (estimate = -0.20, p = .004). Letter fluency performance did not decline over time and was not influenced by levels of depressive symptoms in females (estimate = -0.03, p = .502) or males (estimate = 0.05, p = .452).Conclusions:Baseline presence of depressive symptoms suggestive of subclinical depression was associated with worse decline in category fluency performance during longitudinal follow-up in female but not male participants. Letter fluency performance did not decline and was not impacted by levels of depressive symptoms. Results remained significant when accounting for covariates and potential confounders. The present study elucidated the combined influence of gender and depressive symptoms on change in fluency performance in older adults and can aid in identifying individuals who may be at a greater risk of cognitive decline.

Prevalence and incidence of mild cognitive impairment in adults with diabetes in the United States

BackgroundLimited evidence exists about the prevalence and incidence of mild cognitive impairment (MCI) in individuals with diabetes in the U.S. We aimed to address such knowledge gaps using a nationally representative study dataset. MethodWe conducted a secondary analysis from the Health and Retirement Study (HRS) (1996–2018). The sample for examining the prevalence of MCI was14,988, with 4192 (28.0%) having diabetes, while the sample for the incidence was 21,824, with 1534 (28.0%) having diabetes. ResultsParticipants with diabetes had a higher prevalence of MCI than those without diabetes (19.9 % vs. 14.8 %; odds ratio [95 % confidence interval] (OR[95 %CI]): 1.468 [1.337, 1.611], p <.001). The incidence of MCI in participants with/without newly diagnosed diabetes was 42.9 % vs. 31.6 % after a mean 10-year follow-up, with the incidence rate ratio (IRR) [95 %CI] (1.314 [1.213, 1.424], p <.001). Newly diagnosed diabetes was associated with elevated risks of MCI compared with non-diabetes, with the uncontrolled hazard ratio (HR) [95 %CI] (1.498 [1.405, 1.597], p <.001). ConclusionsUsing a nationally representative study data in the U.S., participants with diabetes had a higher prevalence and incidence of MCI than those without diabetes. Findings show the importance of developing interventions tailored to the needs of individuals with diabetes and cognitive impairment.

Prefrontal event-related potential markers in association with mild cognitive impairment.

Alzheimer's disease (AD) is among the leading contributors of dementia globally with approximately 60-70% of its cases. Current research is focused on the mild cognitive impairment (MCI), which is associated with cognitive decline but does not disrupt routine activities. Event-related potential (ERP) research is essential in screening patients with MCI. Low-density channel electroencephalography (EEG) is frequently used due to its convenience, portability, and affordability, making it suitable for resource-constrained environments. Despite extensive research on neural biomarkers for cognitive impairment, there is a considerable gap in understanding the effects on early stages of cognitive processes, particularly when combining physiological and cognitive markers using portable devices. The present study aimed to examine cognitive shortfalls and behavioral changes in patients with MCI using prefrontal selective attention ERP recorded from a prefrontal two-channel EEG device. We assessed cognitive decline using the Mini-Mental State Examination (MMSE) and the Seoul Neuropsychological Screening Battery (SNSB). We administered auditory selective attention tasks to 598 elderly participants, including those with MCI (160) and cognitively normal (CN) individuals (407). We conducted statistical analyses such as independent t-tests, Pearson's correlations, and univariate and multiple logistic regression analyses to assess group differences and associations between neuropsychological tests, ERP measures, behavioral measures, and MCI prevalence. Our findings revealed that patients with MCI demonstrated slower information-processing abilities, and exhibited poorer task execution, characterized by reduced accuracy, increased errors, and higher variability in response time, compared to CN adults. Multiple logistic regression analyses confirmed the association between some ERP and behavioral measures with MCI prevalence, independent of demographic and neuropsychological factors. A relationship was observed between neuropsychological scores, ERP, and behavioral measures. The slower information processing abilities, and poor task execution in the MCI group compared to the CN individuals suggests flawed neurological changes and reduced attentional maintenance during cognitive processing, respectively. Hence, the utilization of portable EEG devices to capture prefrontal selective attention ERPs, in combination with behavioral assessments, holds promise for the identification of mild cognitive deficits and neural alterations in individuals with MCI. This approach could potentially augment the traditional neuropsychological tests during clinical screening for MCI.

Bayesian estimation for the accuracy of three neuropsychological tests in detecting Alzheimer's disease and mild cognitive impairment: a retrospective analysis of the ADNI database

BackgroundThe neuropathological confirmation serves as the gold standard for diagnosing Alzheimer's disease (AD), but it is usually not available to the living individuals. In addition, the gold standard for diagnosing Mild Cognitive Impairment (MCI) remains unclear yet. Neuropsychological testing, such as the Montreal Cognitive Assessment (MoCA), Mini-Mental State Examination (MMSE) and Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-cog), is commonly used tests in identifying AD and MCI, offering convenience, affordability, non-invasiveness, and accessibility in clinical settings. We aimed to accurately evaluate the discriminative ability of the three tests administrated at the same visit simultaneously in detecting AD and MCI due to AD in the absence of a gold standard.MethodsA total of 1289 participants aged over 65 were included from the baseline visits of Alzheimer’s disease Neuroimaging Initiative. Bayesian latent class models, accounting for conditional dependence between MoCA and MMSE, were conducted to assess the diagnostic accuracy of the three tests for detecting AD and MCI.ResultsIn detecting AD, the ADAS-cog had the highest Youden's Index (0.829), followed by the MoCA(0.813) and MMSE(0.796). The ADAS-cog and MoCA showed similar sensitivity (0.922 vs 0.912) and specificity (0.907 vs 0.901), while the MMSE had lower sensitivity (0.874) and higher specificity (0.922). For MCI detection, the ADAS-cog had the highest Youden's Index (0.704) compared to the MoCA (0.614) and MMSE (0.478). The ADAS-cog exhibited the highest sensitivity, closely followed by the MoCA and MMSE (0.869 vs 0.845 vs 0.757), and the ADAS-cog also had good specificity (0.835 vs 0.769 vs 0.721). The estimated true prevalence of AD among individuals aged over 65 was 20.0%, and the estimated true prevalence of MCI due to AD was 24.8%.ConclusionsThe findings suggest that the ADAS-cog and MoCA are reliable tools for detecting AD and MCI, while the MMSE may be less sensitive in detecting these conditions. A large underdiagnosis of the MCI and Alzheimer’s population still remains in clinical screening.

The prevalence and risk factors study of cognitive impairment: Analysis of the elderly population of Han nationality in Hunan province, China.

A large number of studies have found that the prevalence of cognitive impairment varies in different regions. However, data on cognitive impairment in the Chinese population is still lacking. The goal of this study was to assess the prevalence of cognitive impairment among the elderly in a region of China and explore the associated risk factors. We performed a population-based cross-sectional survey from April to June 2022. Residents come from three villages and six urban communities in the county-level city of Liuyang in southern China (N = 3233) and the coverage rate of our study population reached 73%. Participants were assessed with a series of clinical examinations and neuropsychological measures. A total of 2598 participants were selected after filtering out those under 60 years old or with incomplete data. Patients with cognitive impairment included those with mild cognitive impairment (MCI) or dementia who met standard diagnostic criteria. The prevalence of cognitive impairment, MCI, and dementia among participants aged 60 years and older were 21.48% (95% CI, 19.90-23.10), 15.70% (95% CI, 14.30-17.10), and 5.77 (95% CI, 4.90-6.70), respectively. And residents in villagers were more likely to have cognitive impairment than in urban communities (p < 0.001). Age growth and education level were independent influencing factors for cognitive impairment in all populations (p < 0.001). For lifestyles factors, both smoking and drinking reduced the risk of cognitive impairment (p < 0.05), but when further quantified, the link disappeared. Moreover, having cerebrovascular disease and severe vision impairment were risk factors (p < 0.05). A representative prevalence of cognitive impairment, MCI, and dementia was found in the elderly Han Chinese population in Southern China. And we further explored the role of known risk factors, particularly in physical activity, smoking, and alcohol consumption.

Results of the Italian RESILIEN-T Pilot Study: A Mobile Health Tool to Support Older People with Mild Cognitive Impairment.

(1) Background: The RESILIEN-T system addresses the need for innovative solutions to support self-management in older people with Mild Cognitive Impairment (MCI). Despite the increasing prevalence of dementia and MCI, there is a lack of tailored solutions for these individuals. The RESILIEN-T system aims to empower and engage people with cognitive decline by providing a modular platform for self-management and coaching services. (2) Methods: Italian data collected for the RESILIEN-T project involved 62 older participants randomly assigned to the intervention or control group. Data were collected through questionnaires and user interactions with the system over a three-month period. (3) Results: Quantitative outcomes showed no significant differences between the intervention and control groups, except for an improvement in perceived memory capability in the intervention group. The usability assessment indicated a high level of acceptance of the RESILIEN-T system. (4) Discussions: Although no significant improvements were observed in most quantitative measures, the high user engagement and acceptance suggest the potential effectiveness of the RESILIEN-T system. Future improvements could involve integrating smart objects and interactive virtual agents. Overall, RESILIEN-T represents a promising step toward empowering individuals with cognitive impairment in their self-management and decision-making processes.

295 Don’t forget about memory: prevalence of cognitive impairment in older adults attending the integrated day hospital

Abstract Background Cognitive impairment and dementia are estimated to affect 1 in 5 adults over 80 years (TILDA 2023) which impacts on participation in complex activities eg. Drving, managing finances, complex decision making. The importance of addressing these issues is to the fore with the enactment of the Assisted Decision Making Act. This review aims to provide local context to design and implementation of assessment and intervention processes for Subjective Cognitive Impairment (SCI), Mild Cognitive Impairment (MCI) and dementia in older adults attending the Integrated Day Hospital (IDH). Methods A retrospective analysis of health care records was undertaken on patients attending the IDH from January to May 2023. Inclusion criteria were adults over 70 years, recent history of falls or deterioration in functional or cognitive status. Evidence regarding SCI was gathered via patients’ response to specific question on comprehensive geriatric assessment. Evidence of MCI and dementia was gathered via cognitive screening scores. Results Preliminary results indicate a cohort of 150 patients. Preliminary analysis of cognitive screening scores reflect prevalence of MCI at 16% and dementia at 36% of older adults attending the IDH. Family-carer reported impairment is more likely to correlate to an impaired range score on testing, in comparison with self-reported impairment. 50% of older adults report SCI, with 70% of family carers reporting SCI in the same cohort. There is a prevalence of cognitive impairment in older adults presenting for falls and frailty. Final findings will be available for the purpose of this poster presentation. Conclusion Cognitive impairment in older adults is evidenced across a range of presentations including falls and frailty. This review highlights the need to explore the holistic needs of older adults to identify presence of SCI, MCI and dementia. Subsequently there is a need to provide person centred, co-ordinated and integrated interventions tailored to the needs of the older adults.

The relationships between plasma advanced glycation end products level and cognitive function in middle-aged and elderly Chinese subjects.

To determine the relationships between circulating representative advanced glycation end products (AGEs) and cognitive performance in middle-aged and elderly Chinese adults. A cross-sectional study with 1834 participants were included. Cognitive performance was assessed using the Mini-Mental State Examination (MMSE). Plasma free AGEs including Nε-carboxymethyl-L-lysine (CML), Nε-(1-carboxyethyl) lysine (CEL), S-carboxymethyl-L-cysteine (CMC) and Nδ-(5-hydro-5-methyl-4-imidazolon-2-yl)-ornithine (MG-H1) were measured by ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Multivariate adjusted linear and logistic regression analysis were used to explore the associations between plasma AGEs and cognitive function. The prevalence of mild cognitive impairment (MCI) was 17.94%. Plasma CMC and MG-H1 level were negatively associated with MMSE score (β=-0.42, p<0.001 for all) in the multivariate linear regression analysis. In the multivariate logistic regression analysis, compared to the lowest tertile, participants within the highest tertile of CMC and MG-H1 had increased risk of MCI [ORs (95% CI): 1.62 (1.21-2.17), P trend <0.001, and ORs (95% CI): 1.30 (0.97-1.76), P trend=0.069, respectively]. In addition, the weighted quantile sum (WQS) index was negatively associated with MMSE (β=-0.48, P<0.001) and increased risk of MCI [ORs (95% CI): 1.35 (1.20-1.52), P<0.001]. Combined exposure of plasma free AGEs including CML, CEL, CMC and MG-H1 were associated with increased risk of cognitive impairment. Plasma CMC and MG-H1 might the main contributors for cognitive impairment, while further longitudinal studies are required to verify the associations.

The Role of Body Mass Index, Advanced Age, and Low Educational Attainment in Mild Cognitive Impairment among the Older Adult Population: A Study in a Rural Area in Indonesia

This study evaluated the prevalence of mild cognitive impairment (MCI) and factors associated with MCI among older adults in a rural area of Indonesia. This cross-sectional study was conducted in a rural area of East Java, Indonesia. Four hundred and twenty-seven older adults aged ≥60 years were included in the study. MCI was assessed using the Brain Health Test Cognitive Tool. Data related to possible risk factors were obtained using semi-structured questionnaires. The indirect body mass index was determined based on ulnar length. The prevalence of MCI was 12.9%. Being underweight (<18.5 kg/m2) (odds ratio [OR], 2.42; 95% confidence interval [CI], 1.17–4.97; p = 0.016), requiring assistance to manage money or medications (OR, 2.72; 95% CI, 1.02–7.23; p = 0.045), age ≥70 years (OR, 2.50; 95% CI, 1.11–5.60; p = 0.026), and having an educational attainment of ≤6 years (OR, 4.92; 95% CI, 1.92–12.60; p = 0.001) were significantly associated with MCI. In this Indonesian older adult population, underweight people who had an educational attainment of <6 years, those aged ≥70 years, and those who needed assistance to manage money or medications were more likely to have MCI.

Evaluation of Dietary Intake in Individuals with Mild Cognitive Impairment.

The phase of mild cognitive impairment (MCI) holds significant importance for postponing the onset of dementia. Therefore, MCI has become a central focus in research related to dementia prevention. The purpose of this study was to investigate the dietary intake and dietary patterns of MCI patients in Taiwan. In total, 40 subjects were enrolled in this cross-sectional study that was conducted from July 2019 to September 2021 at the Linkou Chang Gung Memorial Hospital. The results of the clinical dementia rating (CDR) and mini-mental state examination (MMSE) were obtained from medical records. Participants were divided into two groups: a healthy group (MMSE ≥ 26 points, CDR = 0) and an MCI group (MMSE ≥ 26 points, CDR = 0.5). Results indicated that the MCI group had significantly higher copper and lower low-fat meat intake compared to the healthy group. Furthermore, the high MIND (Mediterranean dietary approaches to stop hypertension intervention for neurodegenerative delay) diet score represented a lower risk of MCI. After adjusting for age, gender, diabetes mellitus, hypertension, and calorie intake in the multivariate regression analysis, calcium and fruit intake levels were positively associated with the MMSE, whereas low-fat meat intake was negatively associated with the CDR. In conclusion, the prevalence of MCI demonstrated a close correlation with nutrient intake, including copper and calcium. Furthermore, a MIND diet, particularly one high in n-3 polyunsaturated fatty acids, might be useful for preventing MCI. However, more extensive research with larger populations is needed to confirm this potential.

Mild cognitive impairment in type 2 diabetes is associated with fibrinogen-to-albumin ratios.

Cognitive impairment is the main manifestation of diabetes central neuropathy. Currently, there is no effective dementia treatment; early diagnosis and treatment are particularly crucial. Inflammation index fibrinogen-to-albumin ratio (FAR) has been shown to predict complications of type 2 diabetes (diabetic kidney disease and diabetes-related arteriosclerosis), but its relationship with mild cognitive impairment (MCI) in type 2 diabetes (T2D) is undetermined. In this study, we examined the association between the FAR and mild cognitive impairment in type 2 diabetes. This is a retrospective and cross-sectional study. From January 2022 to December 2022, we have retrieved 328 inpatient medical records for T2D patients hospitalized at the First Hospital of Harbin Medical University from the hospital's electronic system. Subjects' cognitive function was assessed and grouped by the MoCA scales. Subjects' demographic and various laboratory indicators were collected. Using Spearman's bivariate correlation analysis, the FAR and other clinical variables were analyzed for association strength. A multiple linear regression analysis was conducted to determine the independent relationship between FAR and MoCA scores. Multivariate logistic regression was used to analyze the independent relationship between FAR and MCI. The capacity of the FAR to detect MCI was carried using receiver operating characteristic (ROC) analysis. The included participants' (n = 328; 61.9% male) mean age was 52.62 ± 10.92 years. MoCA scores and MCI prevalence significantly differed (p < 0.05) between the four subgroups of FAR quartiles. The FAR and the MoCA score were significantly negatively correlated in the entire population (p < 0.05). Based on the multiple linear regression analysis, lnFAR and lnMoCA are significantly correlated (β = -0.449, t = -8.21, p < 0.05, R2 = 0.469). In multivariate logistic regression analysis, FAR and MCI were independently correlated after adjusting for covariates (OR 95% CI 34.70 [13.90-86.66]). Finally, the analysis of receptor working characteristics shows that the optimal FAR cut-off value was 0.08 (sensitivity: 95.81%, specificity: 84.47%) for detecting MCI in type 2 diabetes. In type 2 diabetes, the FAR was positive associations with MCI and negative associations with MoCA score. The high FAR was associated with an increased risk of MCI. FAR maybe a appropriate indicator of MCI risk for type 2 diabetes.

Gender and age influence the association between gait speed and mild cognitive impairment in community-dwelling Japanese older adults: from the Japan Prospective Studies Collaboration for Ageing and Dementia (JPSC-AD).

Studies have shown that decreased gait speed is associated with impaired cognitive function. However, whether this association is equivalent across ages or genders in the older population remains unclear. Thus, we examined the association between mild cognitive impairment (MCI) and gait speed emphasising the influence of age and gender. Overall, 8233 Japanese participants aged ≥65 years were enrolled in this cross-sectional study between 2016 and 2018. After stratification by gender and age group, the participants' gait speeds were divided into quintiles, and the difference in MCI prevalence at each gait speed quintile was calculated. Logistic regression analyses were performed to assess the odds of MCI for each quintile and to assess the influence of age and gender. Males had a consistently higher prevalence of MCI than females. The odds of MCI were increased as gait speed decreased. Logistic regression analyses revealed that in the multivariable-adjusted model 2, the odds ratios (95% confidence interval; CI) for MCI were 2.02 (1.47-2.76) for females and 1.75 (1.29-2.38) for males in the slowest gait speed quintiles compared to the fastest quintile. In the stratified analyses, only males showed an age-dependent increase in the associations between gait speed and MCI, while females exhibited comparable associations across age groups. Reduced gait speed was associated with increased odds of MCI, and this association may vary according to gender and age. Therefore, gait speed could serve as a valuable screening tool for MCI, with gender- and age-dependent clinical implications.