Dementia and Geriatric Cognitive Disorders最新文献

Introduction: Diabetes is a significant risk factor for cognitive impairment. Therefore, early identification of cognitive impairment in diabetic patients is particularly important. The aim of this study was to assess the relationship between Cardiometabolic index (CMI) and cognitive function in a diabetic population.

Methods: A cross-sectional study was conducted by collecting information from the National Health and Nutrition Examination Survey (NHANES) 2011-2014. Multiple linear regression models were used to investigate the correlation between CMI and low cognitive function in a diabetic population. Threshold effects analysis and fitted smoothing curves were used to describe the nonlinear links. Interaction tests and subgroup analyses were also performed.

Results: A total of 1,050 people participated in this study, including 561 men and 489 women. In the fully corrected model, CMI was positively associated with low cognitive performance as assessed by CERAD Word List Learning Test (CERAD W-L), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST) (OR = 1.37 [1.14, 1.72], p = 7.4 × 10-3), (OR = 1.21 [1.04, 1.51], p = 1.26 × 10-2), and (OR = 1.27 [1.08, 1.63], p = 2.53 × 10-2). Our study found that diabetic patients with higher CMI were at greater risk of developing low cognitive function. The effect of the subgroups on the positive association of CMI with cognitive impairment was not significant. A non-linear association between low cognitive performance and CMI was determined by CERAD W-L, AFT, and DSST (log-likelihood ratio <5 × 10-2). In addition, our also study found that CMI was a better predictor of cognitive impairment in diabetes than weight-adjusted waist index (WWI).

Conclusion: Increased CMI is associated with an increased risk of cognitive impairment in people with diabetes. CMI can be used as a new anthropometric measure for predicting cognitive impairment in diabetes, with stronger predictive power than WWI.

Introduction: Loneliness in older persons with cognitive impairment (PCI) may beget loneliness in their family caregivers, depending on buffering resources caregivers possess. This study examined the association between loneliness in older PCI and loneliness experienced by their family caregivers, and the moderating role of caregiver mastery in this association.

Methods: Dyadic data from 135 PCI and their family caregivers in Singapore were analyzed using multivariable regression. Loneliness was measured using a three-item UCLA loneliness scale. Mastery was assessed using a seven-item Pearlin instrument.

Results: Multivariable regression showed that PCI loneliness and caregiver loneliness were weakly associated, taking other covariates into account. Notably, a significant interaction between PCI loneliness and caregiver mastery was observed, indicating that PCI loneliness was associated with caregiver loneliness only when caregivers had low mastery.

Conclusion: Lonely PCI may share their feelings of loneliness with their caregivers, and this can lead to loneliness among caregivers if they have low mastery. Promoting caregiver mastery may help reduce caregiver loneliness, directly and indirectly as a buffer against PCI loneliness.

Introduction: Cognitive screening measures are an established part of a dementia assessment and often include measures of subjective difficulties, e.g., Everyday Memory Questionnaire (EMQ), informant-rated difficulty, Cambridge Behavioural Inventory - Revised (CBI-R), and objective cognitive assessments like Addenbrooke's Cognitive Examination (ACE-III). While these measures have validity for the purpose of diagnosing dementia, in clinical practice they are often used outside of their evidence base for the purpose of cognitive re-assessment. The current study sought to evaluate the psychometric properties for the repeated use of these assessments.

Methods: This study used a longitudinal design, which included 49 healthy controls, 33 people with subjective memory difficulties, and 10 people with Alzheimer's disease (AD) being assessed twice, with approximately a 1-year interval between assessments.

Results: The EMQ has adequate re-test reliability (r = 0.78), but people with an AD diagnosis rated their memory as better than those with SMD, making it unsuitable as a measure. The CBI-R had moderate re-test reliability (r = 0.62). However, deterioration on the CBI-R was not useful for diagnosing AD. The ACE-III has high re-test reliability (r = 0.89). A change of five was associated with reasonable classification accuracy for identifying AD and achieved statistical significance.

Conclusion: Using a 1-year interval, of the three measures used in this study, only the ACE-III total score may be a useful measure of change over time, although it should be applied cautiously due to the lack of representativeness of the sample, and change scores should always be triangulated with other forms of evidence of deterioration.

Introduction: Promoting cardiovascular health (CVH) by Life's Simple 7 is associated with better cognitive function. In 2022, the American Heart Association (AHA) prompted Life's Essential 8 (LE8) to strengthen CVH assessment. This study investigated the association between the new CVH metrics assessed by LE8 and cognitive function, thus providing evidence for implementing LE8 in the primordial prevention of cognitive impairment.

Methods: 2,050 participants aged 60 and older from National Health and Nutrition Examination Survey 2011-2014 were included. Cognitive function was measured by the Consortium to Establish a Registry for Alzheimer's Disease (CERAD), the Animal Fluency Test (AFT), and the Digit Symbol Substitution Test (DSST). The overall and domain-specific cognitive function z-score was created. CVH score was calculated following AHA's advisory. The multivariable linear regression model estimated the associations.

Results: The CVH score assessed by LE8 was independently, positively, and linearly associated with the overall cognitive function. A per-10 point increase in CVH was associated with higher overall cognitive z-scores (β, 0.06; 95% confidence interval [CI], 0.03, 0.09), and participants with moderate (β, -0.14; 95% CI, -0.22, -0.05) and low CVH (β, -0.27; 95% CI, -0.37, -0.16) had lower overall cognitive z-scores compared to participants with high CVH. Similar patterns of associations were observed between CVH of AFT and DSST. Components of CVH were further associated with different domain-specific cognitive functions.

Conclusion: Maintaining an ideal CVH improves cognitive function in older adults. Ideal adherence to individual components of LE8 was associated with improved overall and domain-specific cognitive functions. Therefore, promoting CVH according to LE8 might benefit cognitive function in the elderly.

Introduction: Stroke is common cerebrovascular disease in the elderly, which is characterized by neurological defects caused by cerebral vessels. Multiple studies have shown that miRNAs play important roles in stroke. In addition, a large number of evidence suggest that stroke increases the risk and severity of cognitive impairments.

Methods: miR-511-3p expression levels were detected by real-time PCR. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic value of miR-511-3p in distinguishing stroke patients from healthy controls and to assess risk of post-stroke cognitive impairment (PSCI) in stroke patients. Pearson correlation coefficient was used to determine the relationship between miR-511-3p expression level and Montreal Cognitive Assessment Scale (MoCA) scores.

Results: Serum miR-511-3p expression levels were decreased in stroke patients, and the decrease was more significant in PSCI patients. ROC curve results showed that miR-511-3p had high diagnostic accuracy in distinguishing healthy controls from stroke patients. Moreover, the expression level of miR-511-3p can be used as an independent predictor for the occurrence of PSCI and is positively correlated with MoCA scores of PSCI patients.

Conclusion: miR-511-3p may be involved in the occurrence and development of stroke. In addition, miR-511-3p may be a novel biomarker for predicting PSCI occurred in stroke patients. These results may help improve the quality of prognosis of stroke.

Introduction: The potential influence of age at menarche (AM) on cognitive aging remains inadequate, partly because of the difficulties presented by multiple confounders. To address this issue, Mendelian randomization (MR) analysis was used to explore the causal impacts of AM on cognitive aging.

Methods: Using the publicly accessible Taiwan Biobank, we identified single nucleotide polymorphisms (SNPs) significantly associated with AM as instrumental variables to estimate the effects of instruments on cognitive function assessed with the Mini-Mental State Examination (MMSE). We employed several MR methods, including two-stage least squares, inverse variance weighting (IVW), MR-Egger, weighted median, weighted mode, and constrained maximum likelihood (cML) MR methods, to ensure the stability and reliability of the results.

Results: MR analyses indicated no significant causal relationship between genetically determined AMs and total and subdomain MMSE scores, except the G5 subdomain (βIVW = 0.156, 95% confidence interval [CI]: 0.005, 0.307; βcML = 0.161, 95% CI: 0.014, 0.309). However, in a leave-one-out sensitivity analysis, we found a significant relationship between AM and cognitive aging after eliminating rs157863 and rs6758290, thus demonstrating the potential pleiotropic effects of these two SNPs. After these two SNPs were eliminated, we found a significant causal relationship between AM and overall MMSE scores (βIVW = 0.425, 95% CI: 0.011, 0.839), though.

Conclusion: Evidence from the present MR study did not fully support a causal relationship between AM and cognitive function decline in later life. Potential pleiotropic effects of the genes underlying these two traits are worthy of further investigation.

Introduction: Mental health symptoms and cognitive impairment are highly prevalent and intertwined among aging people living with HIV (PLWH). This study aimed to assess the interrelationships and strength of connections between individual mental health symptoms and cognitive impairment. We sought to identify specific symptoms linking mental health and cognitive impairment in aging PLWH.

Methods: Participants in the Sichuan Older People with HIV Infections Cohort Study (SOHICS) were recruited between November 2018 and April 2021 in China. Mental health symptoms, including depression and anxiety, were assessed by the Patient Health Questionnaire (PHQ-9) and General Anxiety Disorder-7 (GAD-7), respectively. Cognitive impairment was assessed by the Montreal Cognitive Assessment-Basic (MoCA-B). Partial correlation networks were used to depict the interrelationships between mental health symptoms and cognitive impairment, and bridge strength was used to identify specific symptoms linking mental health and cognitive impairment.

Results: Of the 1,587 recruited participants with a mean age of 63.0 years old, 47.0% had mild or severe cognitive impairment. Network analysis revealed that cognitive function, visual perception, and problem-solving task of the MoCA-B were negatively correlated with appetite, energy, and motor of the PHQ-9, respectively. Based on their interrelationships, problem-solving task and motor acted as bridge symptoms.

Conclusion: Problem-solving task and motor may be potential intervention targets to reduce the overall risk of mental health symptoms and cognitive impairment. Future research could assess the feasibility and effectiveness of specific interventions designed for the two symptoms of aging PLWH.

Introduction: The connection between periodontitis and mild cognitive impairment (MCI) continues to receive attention. However, whether periodontitis is a risk factor for MCI remains still uncertain. This study aims to systematically analyze the available literature regarding the relationship between periodontitis and the risk of developing MCI and whether the periodontal health of MCI patients is poorer.

Methods: A literature search of PubMed, Scopus, Embase, and Web of Science databases was conducted to include all studies on the relationship between periodontitis and MCI from inception to April 2023. The studies were independently screened by 2 researchers, and those meeting the inclusion criteria were extracted and cross-checked. Pooled odds ratio (OR) or mean difference (MD) with 95% confidence intervals (CI) was calculated using either a fixed-effects or random-effects model.

Results: Seven studies with a total of 3,973 participants were included. Meta-analysis results showed a statistically significant higher incidence of MCI in patients with periodontitis (OR, 1.70 (95% CI: 1.24-2.32, p < 0.001) compared to healthy participants. A subgroup meta-analysis showed that the pooled OR for the risk of MCI in patients with severe periodontitis was 2.09 (95% CI: 1.49-2.92, p < 0.001). In addition, attachment loss (MD = 0.44, 95% CI: 0.12-0.75, p < 0.001) and plaque index (MD = 0.72, 95% CI: 0.50-0.93, p < 0.001) were higher in MCI patients compared with the control group, but the pocket probing depth (MD = 0.21, 95% CI: -0.08 to 0.49, p = 0.15) was not significantly different between the two groups.

Conclusions: Patients with periodontitis are at a higher risk of developing MCI, and the periodontal health of MCI patients is generally compromised. However, further well-designed studies should be conducted to confirm this relationship between MCI and periodontitis.

Introduction: The objectives of this study were to determine the participation rates, levels of engagement, and abilities to answer User eXperience (UX) questionnaires according to the presence and severity of major neurocognitive disorders (MNCD) among participants involved in gerontechnological experimentations within a hospital-based geriatric clinical living lab.

Methods: Cross-sectional analysis examining all consecutive geriatric patients involved in the Allegro living lab experimentations, separated according to the presence and severity of MNCD. Participation rates were assessed using the "Task-Based Experiment"-type User eXperience (TBE-UX). Participation was considered successful if patients fully completed the TBE-UX experimental procedure. Engagement level was characterized using a five-point scale: interactive, constructive, active, passive, and disengaged. The abilities to answer UX questionnaires were characterized using a five-point scale from "no completion" to "completion in autonomy."

Results: 313 patients were included. All patients without MNCD and with mild MNCD fully completed the TBE-UX procedures. Their engagement behaviors were rather active and constructive. All patients without MNCD and 88% of those with mild MNCD were able to fully complete the UX questionnaires. 96.2% of the patients with moderate MNCD fully followed the TBE-UX procedures. Their engagement behaviors were mainly active or passive. 64.2% were able to fully complete the UX questionnaires. 76.5% of the patients with severe MNCD fully followed the TBE-UX procedures. Their engagement behaviors were mainly passive or disengaged. 35.3% were able to fully complete the UX questionnaires.

Conclusion: Living lab experimentations appear feasible with older adults, even with those with MNCD. Task support can be offered to those with severe MNCD.

Introduction: Age remains one of the major risk factors for the onset of mild cognitive impairment (MCI) and dementia. Studies on the prevalence of these conditions in Mexico used different methods, tools, and populations with different health statuses. All these heterogeneous results may be a problem in identifying the true prevalence of MCI and dementia in Mexico. To our knowledge, there is not a systematic review available that presents essential figures on the prevalence of these conditions in Mexico. Therefore, we intend to access the maximum number of reports published on the topic and determine the prevalence of MCI and dementia in older Mexican adults.

Methods: A systematic review using PubMed, Cochrane, Research Gate, Lilacs, and Scielo databases was performed. Meta-analysis of the prevalence of MCI and dementia was performed using a random-effects model and presented in a forest plot among cross-sectional, epidemiological, and pooled studies.

Results: Sixteen articles were included. The overall prevalence of MCI of 18% (95% CI 0.10-0.27) was estimated from pooled information from 12 selected studies, in women 21% (95% CI 0.08-0.38) and in men 18% (95% CI 0.06-0.33). The overall prevalence of dementia of 10% (95% CI 0.06-0.14) was estimated from pooled information from 9 selected studies, in women 14% (95% CI 0.05-0.25) and in men 10% (95% CI 0.04-0.17).

Conclusion: Mexican older individuals have a similar prevalence of dementia and MCI as reported by international data; nevertheless, the prevalence is higher than in some Latin American countries. Mexico has particular issues that must be resolved, such as a lack of research in the southern regions of the country and the high incidence of comorbidities.