scholarly journals Vision, Cognitive Impairment, and Dementia in the Aging, Demographics, and Memory Study

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 156-156
Author(s):  
Bonnielin Swenor ◽  
Yunshu Zhou ◽  
Kenneth Langa ◽  
Joshua Ehrlich
Keyword(s):  
Risk Factor ◽  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Population Based ◽  
Elevated Risk ◽  
Vision Impairment ◽  
Health Factors ◽  
Using Data ◽  
Cognitive Impairment No Dementia ◽  
Subsequent Onset

Abstract Vision impairment (VI) is common in late-life and may be a modifiable risk factor for cognitive decline and dementia. In this study, using data from the population-based Aging, Demographics and Memory Study (ADAMS), we analyzed the association of VI with cognitive impairment no dementia (CIND) and dementia. We found that VI (binocular presenting acuity <20/40) was significantly associated with incident CIND (OR=3.5, 95% CI=1.4-8.9, p=0.008) and dementia (OR=1.8, 95% CI=1.0-3.1, p=0.040) after adjusting for age. However, among those with CIND, VI was not associated with dementia (OR=0.9, 95% CI=0.4-1.8, p=0.733). The association between VI and CIND remained significant in models fully adjusted for demographic and health factors (OR=2.7, 95% CI=1.0-7.5, p=0.049). We conclude that VI is associated with development of CIND but not with subsequent onset of dementia. These findings suggest that the association between VI and dementia is driven by the elevated risk of dementia among those with CIND.

scholarly journals Cognitive reserve in amyotrophic lateral sclerosis (ALS): a population-based longitudinal study

2021 ◽  
pp. jnnp-2020-324992
Author(s):  
Emmet Costello ◽  
James Rooney ◽  
Marta Pinto-Grau ◽  
Tom Burke ◽  
Marwa Elamin ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Cognitive Reserve ◽  
Population Based ◽  
Protective Role ◽  
Drop Out ◽  
Longitudinal Change ◽  
Activity Data ◽  
Lateral Sclerosis

BackgroundAmyotrophic lateral sclerosis (ALS) is often associated with cognitive and/or behavioural impairment. Cognitive reserve (CR) may play a protective role in offsetting cognitive impairment. This study examined the relationship between CR and longitudinal change in cognition in an Irish ALS cohort.MethodsLongitudinal neuropsychological assessment was carried out on 189 patients over 16 months using the Edinburgh cognitive and behavioural ALS screen (ECAS) and an additional battery of neuropsychological tests. CR was measured by combining education, occupation and physical activity data. Joint longitudinal and time-to-event models were fitted to investigate the associations between CR, performance at baseline and decline over time while controlling for non-random drop-out.ResultsCR was a significant predictor of baseline neuropsychological performance, with high CR patients performing better than those with medium or low CR. Better cognitive performance in high CR individuals was maintained longitudinally for ECAS, social cognition, executive functioning and confrontational naming. Patients displayed little cognitive decline over the course of the study, despite controlling for non-random drop-out.ConclusionsThese findings suggest that CR plays a role in the presentation of cognitive impairment at diagnosis but is not protective against cognitive decline. However, further research is needed to examine the interaction between CR and other objective correlates of cognitive impairment in ALS.

The Longitudinal Association of Vision Impairment with Transitions to Cognitive Impairment and Dementia: Findings from The Aging, Demographics and Memory Study

2021 ◽  
Author(s):  
Joshua R Ehrlich ◽  
Bonnielin K Swenor ◽  
Yunshu Zhou ◽  
Kenneth M Langa
Keyword(s):  
Visual Acuity ◽  
Logistic Regression ◽  
Cognitive Impairment ◽  
Proportional Hazards ◽  
Population Based ◽  
Cox Proportional Hazards ◽  
Vision Impairment ◽  
Logistic Regression Models ◽  
Cox Proportional Hazards Models ◽  
Longitudinal Association

Abstract Background Vision impairment (VI) is associated with incident cognitive decline and dementia. However, it is not known whether VI is associated only with the transition to cognitive impairment, or whether it is also associated with later transitions to dementia. Methods We used data from the population-based Aging, Demographics and Memory Study (ADAMS) to investigate the association of visual acuity impairment (VI; defined as binocular presenting visual acuity <20/40) with transitions from cognitively normal (CN) to cognitive impairment no dementia (CIND) and from CIND to dementia. Multivariable Cox proportional hazards models and logistic regression were used to model the association of VI with cognitive transitions, adjusted for covariates. Results There were 351 participants included in this study (weighted percentages: 45% male, 64% age 70-79 years) with a mean follow-up time of 4.1 years. In a multivariable model, the hazard of dementia was elevated among those with VI (HR=1.63, 95%CI=1.04-2.58). Participants with VI had a greater hazard of transitioning from CN to CIND (HR=1.86, 95%CI=1.09-3.18). However, among those with CIND and VI a similar percentage transitioned to dementia (48%) and remained CIND (52%); there was no significant association between VI and transitioning from CIND to dementia (HR=0.94, 95%CI=0.56-1.55). Using logistic regression models, the same associations between VI and cognitive transitions were identified. Conclusions Poor vision is associated with the development of CIND. The association of VI and dementia appears to be due to the higher risk of dementia among individuals with CIND. Findings may inform the design of future interventional studies.

Long-Term Blood Pressure Variability Increases Risks of Dementia and Cognitive Decline: A Meta-Analysis of Longitudinal Studies

Hypertension ◽  
2021 ◽  
Author(s):  
Pingping Jia ◽  
Helen W.Y. Lee ◽  
Joyce Y.C. Chan ◽  
Karen K.L. Yiu ◽  
Kelvin K.F. Tsoi
Keyword(s):  
Blood Pressure ◽  
Risk Factor ◽  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Longitudinal Studies ◽  
Meta Analysis ◽  
Hazard Ratio ◽  
Literature Searches ◽  
Meta Regression

High blood pressure (BP) is considered as an important risk factor for cognitive impairment and dementia. BP variability (BPV) may contribute to cognitive function decline or even dementia regardless of BP level. This study aims to investigate whether BPV is an independent predictor for cognitive impairment or dementia. Literature searches were performed in MEDLINE, Embase, PsycINFO, CINAHL, and Web of Science to May 2021. Longitudinal studies that assessed the risk of dementia or cognitive impairment with BPV as the predictor was included. Meta-analysis and meta-regression were performed to evaluate the effect of BPV on the risk of dementia or cognitive impairment. A total of 5919 papers were identified, and 16 longitudinal studies were included, which had >7 million participants and a median age from 50.9 to 79.9 years and a median follow-up of around 4 years. Thirteen studies reported visit-to-visit BPV and concluded that systolic BPV increases the risk of dementia with a pooled hazard ratio of 1.11 (95% CI, 1.05–1.17), and increases the risk of cognitive impairment with a pooled hazard ratio of 1.10 (95% CI, 1.06–1.15). Visit-to-visit diastolic BPV also increased the risk of dementia and cognitive decline. A meta-regression revealed a linear relationship between higher BPV and risks of dementia and cognitive impairment. Similar findings were observed in the studies with day-to-day BPV. This study suggests that long-term BPV is an independent risk factor for cognitive impairment or dementia, so an intervention plan for reducing BPV can be a target for early prevention of dementia.

FACEHBI: A PROSPECTIVE STUDY OF RISK FACTORS, BIOMARKERS AND COGNITION IN A COHORT OF INDIVIDUALS WITH SUBJECTIVE COGNITIVE DECLINE. STUDY RATIONALE AND RESEARCH PROTOCOLS

2016 ◽  
pp. 1-9
Author(s):  
O. Rodriguez-Gomez ◽  
A. Sanabria ◽  
A. Perez-Cordon ◽  
D. Sanchez-Ruiz ◽  
C. Abdelnour ◽  
...  
Keyword(s):  
Risk Factor ◽  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Diffusion Tensor ◽  
Subjective Cognitive Decline ◽  
Long Term Study ◽  
Research Protocols ◽  
Preclinical Ad ◽  
Multimodal Biomarkers

Background: Long-term longitudinal studies with multimodal biomarkers are needed to delve into the knowledge of preclinical AD. Subjective cognitive decline has been proposed as a risk factor for the development of cognitive impairment. Thus, including individuals with SCD in observational studies may be a cost-effective strategy to increase the prevalence of preclinical AD in the sample. Objectives: To describe the rationale, research protocols and baseline characteristics of participants in the Fundació ACE Healthy Brain Initiative (FACEHBI). Design: FACEHBI is a clinical trial (EudraCT: 2014-000798-38) embedded within a long-term observational study of individuals with SCD. Setting: Participants have been recruited at the memory clinic of Fundació ACE (Barcelona) from two different sources: patients referred by a general practitioner and individuals from an Open House Initiative. Participants: 200 individuals diagnosed with SCD with a strictly normal performance in a comprehensive neuropsychological battery. Measurements: Individuals will undergo an extensive neuropsychological protocol, risk factor assessment and a set of multimodal biomarkers including florbetaben PET, structural and functional MRI, diffusion tensor imaging, determination of amyloid species in plasma and neurophthalmologic assessment with optical coherence tomography. Results: Two hundred individuals have been recruited in 15 months. Mean age was 65.9 years; mean MMSE was 29.2 with a mean of 14.8 years of education. Conclusions: FACEHBI is a long-term study of cognition, biomarkers and lifestyle that has been designed upon an innovative symptom-based approach using SCD as target population. It will shed light on the pathophysiology of preclinical AD and the role of SCD as a risk marker for the development of cognitive impairment.

scholarly journals The Association Between Diabetes and Cognitive Function in Later Life

2019 ◽  
Vol 12 (1) ◽  
pp. 62-66
Author(s):  
Yadollah A. Momtaz ◽  
Tengku A. Hamid ◽  
Mohamad F. Bagat ◽  
Maryam Hazrati
Keyword(s):  
Cognitive Impairment ◽  
Cognitive Function ◽  
Cognitive Decline ◽  
Linear Regression Analysis ◽  
Later Life ◽  
Multiple Linear Regression Analysis ◽  
Population Based ◽  
Term Treatment ◽  
Diabetic Patients ◽  
Long Term Treatment

Introduction: Although diabetes through several possible mechanisms such as increased microvascular pathology and inefficiency of glucose utilization during cognitive tasks can be associated with cognitive impairment, there is inconclusive evidence that shows elderly diabetic patients under therapy have higher cognitive function compared to their non-diabetics counterparts. The present study was conducted to elucidate the association between diabetes and cognitive function in later life. Methods: Data for this study, consisting of 2202 older adults aged 60 years and above, were taken from a population-based survey entitled “Identifying Psychosocial and Identifying Economic Risk Factor of Cognitive Impairment among Elderly. Data analysis was conducted using the IBM SPSS Version 23.0. Results: The mean of MMSE was found to be 22.67 (SD = 4.93). The overall prevalence of selfreported diabetes was found to be 23.6% (CI95%: 21.8% - 25.4%). The result of independent t-test showed diabetic subjects had a higher mean score of MMSE (M = 23.05, SD =4 .55) than their counterparts without diabetes (M = 22.55, SD = 5.04) (t = -2.13 p<.05). The results of multiple linear regression analysis showed that diabetes was not significantly associated with cognitive function, after controlling the possible confounding factors. Conclusions: The findings from the current study revealed that diabetes is not associated with cognitive decline. This study supports the findings that long-term treatment of diabetes may reduce the risk of cognitive decline. This finding may provide new opportunities for the prevention and management of cognitive decline.

scholarly journals Sensorial frailty: age-related hearing loss and the risk of cognitive impairment and dementia in later life

2018 ◽  
Vol 10 ◽  
pp. 204062231881100 ◽  
Author(s):  
Francesco Panza ◽  
Madia Lozupone ◽  
Rodolfo Sardone ◽  
Petronilla Battista ◽  
Marco Piccininni ◽  
...  
Keyword(s):  
Hearing Loss ◽  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Clinical Condition ◽  
Oldest Old ◽  
Population Based ◽  
Older Age ◽  
Age Related ◽  
Increased Risk ◽  
Age Related Hearing Loss

The peripheral hearing alterations and central auditory processing disorder (CAPD) associated with age-related hearing loss (ARHL), may impact cognitive disorders in older age. In older age, ARHL is also a significant marker for frailty, another age-related multidimensional clinical condition with a nonspecific state of vulnerability, reduced multisystem physiological reserve, and decreased resistance to different stressors (i.e. sensorial impairments, psychosocial stress, diseases, injuries). The multidimensional nature of frailty required an approach based on different pathogeneses because this clinical condition may include sensorial, physical, social, nutritional, cognitive, and psychological phenotypes. In the present narrative review, the cumulative epidemiological evidence coming from several longitudinal population-based studies, suggested convincing links between peripheral ARHL and incident cognitive decline and dementia. Moreover, a few longitudinal case-control and population-based studies also suggested that age-related CAPD in ARHL, may be central in determining an increased risk of incident cognitive decline, dementia, and Alzheimer’s disease (AD). Cumulative meta-analytic evidence confirmed cross-sectional and longitudinal association of both peripheral ARHL and age-related CAPD with different domains of cognitive functions, mild cognitive impairment, and dementia, while the association with dementia subtypes such as AD and vascular dementia remained unclear. However, ARHL may represent a modifiable condition and a possible target for secondary prevention of cognitive impairment in older age, social isolation, late-life depression, and frailty. Further research is required to determine whether broader hearing rehabilitative interventions including coordinated counseling and environmental accommodations could delay or halt cognitive and global decline in the oldest old with both ARHL and dementia.

One size fits all? Why we need more sophisticated analytical methods in the explanation of trajectories of cognition in older age and their potential risk factors

2009 ◽  
Vol 22 (2) ◽  
pp. 291-299 ◽  
Author(s):  
Graciela Muniz Terrera ◽  
Carol Brayne ◽  
Fiona Matthews ◽  
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Potential Risk ◽  
Analytical Methods ◽  
Cognitive Change ◽  
Population Based ◽  
Growth Mixture ◽  
Potential Risk Factors ◽  
Rate Of Decline

ABSTRACTBackground: Cognitive decline in old age varies among individuals. The identification of groups of individuals with similar patterns of cognitive change over time may improve our ability to see whether the effect of risk factors is consistent across groups.Methods: Whilst accounting for the missing data, growth mixture models (GMM) were fitted to data from four interview waves of a population-based longitudinal study of aging, the Cambridge City over 75 Cohort Study (CC75C). At all interviews global cognition was assessed using the Mini-mental State Examination (MMSE).Results: Three patterns were identified: a slow decline with age from a baseline of cognitive ability (41% of sample), an accelerating decline from a baseline of cognitive impairment (54% of sample) and a steep constant decline also from a baseline of cognitive impairment (5% of sample). Lower cognitive scores in those with less education were seen at baseline for the first two groups. Only in those with good performance and steady decline was the effect of education strong, with an increased rate of decline associated with poor education. Good mobility was associated with higher initial score in the group with accelerating change but not with rate of decline.Conclusion: Using these analytical methods it is possible to detect different patterns of cognitive change with age. In this investigation the effect of education differs with group. To understand the relationship of potential risk factors for cognitive decline, careful attention to dropout and appropriate analytical methods, in addition to long-term detailed studies of the population points, are required.

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