scholarly journals Cognitive impairment and risk factors of LATE in the oldest old: The 90+ Study

2020 ◽  
Vol 16 (S2) ◽  
Author(s):  
S. Ahmad Sajjadi ◽  
Michael Phelan ◽  
Rui Yan ◽  
Kiana Alexis Scambray ◽  
Chu‐Ching Ho ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Oldest Old

scholarly journals What Determines Cognitive Functioning in the Oldest-Old? The EMIF-AD 90+ Study

2020 ◽  
Author(s):  
Nienke Legdeur ◽  
Maryam Badissi ◽  
Maqsood Yaqub ◽  
Nina Beker ◽  
Carole H Sudre ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Nutritional Status ◽  
Oldest Old ◽  
Cognitive Activity ◽  
Hippocampal Volume ◽  
Physical Parameters ◽  
Hippocampal Atrophy ◽  
Brain Pathology ◽  
The Brain

Abstract Objectives Determinants of cognitive functioning in individuals aged 90 years and older, the oldest-old, remain poorly understood. We aimed to establish the association of risk factors, white matter hyperintensities (WMHs), hippocampal atrophy, and amyloid aggregation with cognition in the oldest-old. Method We included 84 individuals without cognitive impairment and 38 individuals with cognitive impairment from the EMIF-AD 90+ Study (mean age 92.4 years) and tested cross-sectional associations between risk factors (cognitive activity, physical parameters, nutritional status, inflammatory markers, and cardiovascular risk factors), brain pathology biomarkers (WMH and hippocampal volume on magnetic resonance imaging, and amyloid binding measured with positron emission tomography), and cognition. Additionally, we tested whether the brain pathology biomarkers were independently associated with cognition. When applicable, we tested whether the effect of risk factors on cognition was mediated by brain pathology. Results Lower values for handgrip strength, Short Physical Performance Battery (SPPB), nutritional status, HbA1c, and hippocampal volume, and higher values for WMH volume and amyloid binding were associated with worse cognition. Higher past cognitive activity and lower body mass index were associated with increased amyloid binding, lower muscle mass with more WMH, and lower SPPB scores with more WMH and hippocampal atrophy. The brain pathology markers were independently associated with cognition. The association of SPPB with cognition was partially mediated by hippocampal volume. Discussion In the oldest-old, physical parameters, nutritional status, HbA1c, WMH, hippocampal atrophy, and amyloid binding are associated with cognitive impairment. Physical performance may affect cognition through hippocampal atrophy. This study highlights the importance to consider multiple factors when assessing cognition in the oldest-old.

scholarly journals Cognitive impairment in nondemented oldest-old: Prevalence and relationship to cardiovascular risk factors

2011 ◽  
Vol 8 (2) ◽  
pp. 87-94 ◽  
Author(s):  
Carrie B. Peltz ◽  
María M. Corrada ◽  
Daniel J. Berlau ◽  
Claudia H. Kawas
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Oldest Old

Elucidating the risk factors for progression from amyloid-negative amnestic mild cognitive impairment to dementia

2020 ◽  
Vol 17 ◽  
Author(s):  
Hyung-Ji Kim ◽  
Jae-Hong Lee ◽  
E-nae Cheong ◽  
Sung-Eun Chung ◽  
Sungyang Jo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Amnestic Mild Cognitive Impairment ◽  
Amyloid Pet ◽  
Clinical Progression ◽  
Amnestic Mci

Background: Amyloid PET allows for the assessment of amyloid β status in the brain, distinguishing true Alzheimer’s disease from Alzheimer’s disease-mimicking conditions. Around 15–20% of patients with clinically probable Alzheimer’s disease have been found to have no significant Alzheimer’s pathology on amyloid PET. However, a limited number of studies had been conducted this subpopulation in terms of clinical progression. Objective: We investigated the risk factors that could affect the progression to dementia in patients with amyloid-negative amnestic mild cognitive impairment (MCI). Methods: This study was a single-institutional, retrospective cohort study of patients over the age of 50 with amyloidnegative amnestic MCI who visited the memory clinic of Asan Medical Center with a follow-up period of more than 36 months. All participants underwent brain magnetic resonance imaging (MRI), detailed neuropsychological testing, and fluorine-18[F18]-florbetaben amyloid PET. Results: During the follow-up period, 39 of 107 patients progressed to dementia from amnestic MCI. In comparison with the stationary group, the progressed group had a more severe impairment in verbal and visual episodic memory function and hippocampal atrophy, which showed an Alzheimer’s disease-like pattern despite the lack of evidence for significant Alzheimer’s disease pathology. Voxel-based morphometric MRI analysis revealed that the progressed group had a reduced gray matter volume in the bilateral cerebellar cortices, right temporal cortex, and bilateral insular cortices. Conclusion: Considering the lack of evidence of amyloid pathology, clinical progression of these subpopulation may be caused by other neuropathologies such as TDP-43, abnormal tau or alpha synuclein that lead to neurodegeneration independent of amyloid-driven pathway. Further prospective studies incorporating biomarkers of Alzheimer’s diseasemimicking dementia are warranted.

The Spectrum of Cerebrovascular Disease and Associated Cognitive Decline

2019 ◽  
pp. 574-599
Author(s):  
Victoria J. Williams ◽  
Steven E. Arnold ◽  
David H. Salat
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Cerebrovascular Disease ◽  
Cognitive Decline ◽  
Vascular Dementia ◽  
Structure And Function ◽  
Vascular Risk Factors ◽  
Vascular Health ◽  
Vascular Risk ◽  
And Function

Throughout the lifespan, common variations in systemic health and illness contribute to alterations in vasculature structure and function throughout the body, significantly increasing risk for cardiovascular and cerebrovascular disease (CVD). CVD is a prevalent cause of mortality in late life; it also promotes brain alterations, contributing to cognitive decline and, when severe, vascular dementia. Even prior to diseased states, individual variation in CVD risk is associated with structural and functional brain alterations. Yet, how cumulative asymptomatic alterations in vessel structure and function contribute to more subtle changes in brain tissue integrity and function that emerge in late life is unclear. Finally, vascular risk factors are associated with the clinical progression of neurodegenerative diseases such as Alzheimer’s disease (AD); however, recent theory posits that vascular degeneration may serve a contributory role in these conditions. This chapter reviews how lifespan changes in vascular health contribute to degenerative changes in neural tissue and the subsequent development of cognitive impairment and/or vascular dementia. It first discusses associations between vascular risk factors and cognition and also how declining vascular health may lead to cognitive impairment and dementia. Next, it identifies basic aspects of cerebrovascular anatomy and physiology sustaining tissue health and discusses how vulnerabilities of this system contribute to neurodegenerative changes. Finally, it reviews evidence of vascular contributions to AD and presents ideas for future research to better understand the full spectrum of cerebrovascular contributions to brain aging, cognitive decline, and dementia.

scholarly journals Risk factors for developing dementia in type 2 diabetes mellitus patients with mild cognitive impairment

2019 ◽  
Vol Volume 15 ◽  
pp. 167-175 ◽  
Author(s):  
Oana Albai ◽  
Mirela Frandes ◽  
Romulus Timar ◽  
Deiana Roman ◽  
Bogdan Timar
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment

scholarly journals Predicting On-Road Driving Skills, Fitness to Drive, and Prospective Accident Risk in Older Drivers and Drivers with Mild Cognitive Impairment: The Importance of Non-Cognitive Risk Factors

2021 ◽  
Vol 79 (1) ◽  
pp. 401-414
Author(s):  
Max Toepper ◽  
Philipp Schulz ◽  
Thomas Beblo ◽  
Martin Driessen
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Older Drivers ◽  
Accident Risk ◽  
Fitness To Drive ◽  
Cognitive Predictors ◽  
Driving Skills ◽  
Cognitive Risk ◽  
Cognitive Risk Factors

Background: On-road driving behavior can be impaired in older drivers and particularly in drivers with mild cognitive impairment (MCI). Objective: To determine whether cognitive and non-cognitive risk factors for driving safety may allow an accurate and economic prediction of on-road driving skills, fitness to drive, and prospective accident risk in healthy older drivers and drivers with MCI, we examined a representative combined sample of older drivers with and without MCI (N = 74) in an observational on-road study. In particular, we examined whether non-cognitive risk factors improve predictive accuracy provided by cognitive factors alone. Methods: Multiple and logistic hierarchical regression analyses were utilized to predict different driving outcomes. In all regression models, we included cognitive predictors alone in a first step and added non-cognitive predictors in a second step. Results: Results revealed that the combination of cognitive and non-cognitive risk factors significantly predicted driving skills (R2adjusted = 0.30) and fitness to drive (81.2% accuracy) as well as the number (R2adjusted = 0.21) and occurrence (88.3% accuracy) of prospective minor at-fault accidents within the next 12 months. In all analyses, the inclusion of non-cognitive risk factors led to a significant increase of explained variance in the different outcome variables. Conclusion: Our findings suggest that a combination of the most robust cognitive and non-cognitive risk factors may allow an economic and accurate prediction of on-road driving performance and prospective accident risk in healthy older drivers and drivers with MCI. Therefore, non-cognitive risk factors appear to play an important role.

scholarly journals Association of self-perceived income sufficiency with cognitive impairment among older adults: a population-based study in India

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
T. Muhammad ◽  
Shobhit Srivastava ◽  
T. V. Sekher
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Cognitive Impairment ◽  
Activities Of Daily Living ◽  
Psychological Health ◽  
Daily Living ◽  
Basic Needs ◽  
Well Being ◽  
Asset Ownership ◽  
Increased Risk

Abstract Background Greater cognitive performance has been shown to be associated with better mental and physical health and lower mortality. The present study contributes to the existing literature on the linkages of self-perceived income sufficiency and cognitive impairment. Study also provides additional insights on other socioeconomic and health-related variables that are associated with cognitive impairment in older ages. Methods Data for this study is derived from the 'Building Knowledge Base on Population Ageing in India'. The final sample size for the analysis after removing missing cases was 9176 older adults. Descriptive along with bivariate analyses were presented to show the plausible associations of cognitive impairment with potential risk factors using the chi-square test. Also, binary logistic regression analysis was performed to provide the relationship between cognitive impairment and risk factors. The software used was STATA 14. Results About 43% of older adults reported that they had no source of income and 7.2% had income but not sufficient to fulfil their basic needs. Older adults with income but partially sufficient to fulfil their basic needs had 39% significantly higher likelihood to suffer from cognitive impairment than older adults who had sufficient income [OR: 1.39; OR: 1.21–1.59]. Likelihood of cognitive impairment was low among older adults with asset ownership than older adults with no asset ownership [OR: 0.83; CI: 0.72–0.95]. Again, older adults who work by compulsion (73.3%) or felt mental or physical stress due to work (57.6%) had highest percentage of cognitive impairment. Moreover, older adults with poor self-rated health, low instrumental activities of daily living, low activities of daily living, low subjective well-being and low psychological health were at increased risk for cognitive impairment. Conclusion The study highlights the pressing need for care and support and especially financial incentives in the old age to preserve cognitive health. Further, while planning geriatric health care for older adults in India, priority must be given to financially backward, with no asset ownership, with poor health status, older-older, widowed, and illiterate older individuals, as they are more vulnerable to cognitive impairment.

Analyses of Visuospatial and Visuoperceptual Errors as Predictors of Dementia in Parkinson’s Disease Patients with Subjective Cognitive Decline and Mild Cognitive Impairment

2020 ◽  
pp. 1-11
Author(s):  
Iván Galtier ◽  
Antonieta Nieto ◽  
María Mata ◽  
Jesús N. Lorenzo ◽  
José Barroso
Keyword(s):  
Risk Factors ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Poor Performance ◽  
Subjective Cognitive Decline ◽  
Independent Risk Factors

ABSTRACT Objective: Subjective cognitive decline (SCD) and mild cognitive impairment (MCI) in Parkinson’s disease (PD) are considered as the risk factors for dementia (PDD). Posterior cortically based functions, such as visuospatial and visuoperceptual (VS-VP) processing, have been described as predictors of PDD. However, no investigations have focused on the qualitative analysis of the Judgment of Line Orientation Test (JLOT) and the Facial Recognition Test (FRT) in PD-SCD and PD-MCI. The aim of this work was to study the VS-VP errors in JLOT and FRT. Moreover, these variables are considered as predictors of PDD. Method: Forty-two PD patients and 19 controls were evaluated with a neuropsychological protocol. Patients were classified as PD-SCD and PD-MCI. Analyses of errors were conducted following the procedure described by Ska, Poissant, and Joanette (1990). Follow-up assessment was conducted to a mean of 7.5 years after the baseline. Results: PD-MCI patients showed a poor performance in JLOT and FRT total score and made a greater proportion of severe intraquadrant (QO2) and interquadrant errors (IQO). PD-SCD showed a poor performance in FRT and made mild errors in JLOT. PD-MCI and QO2/IQO errors were independent risk factors for PDD during the follow-up. Moreover, the combination of both PD-MCI diagnosis and QO2/IQO errors was associated with a greater risk. Conclusions: PD-MCI patients presented a greater alteration in VS-VP processing observable by the presence of severe misjudgments. PD-SCD patients also showed mild difficulties in VS-SP functions. Finally, QO2/IQO errors in PD-MCI are a useful predictor of PDD, more than PD-MCI diagnosis alone.

scholarly journals Association between ApoE ε4 Carrier Status and Cardiovascular Risk Factors on Mild Cognitive Impairment among Mexican Older Adults

2021 ◽  
Vol 11 (1) ◽  
pp. 68
Author(s):  
Sara G. Aguilar-Navarro ◽  
Itzel I. Gonzalez-Aparicio ◽  
José Alberto Avila-Funes ◽  
Teresa Juárez-Cedillo ◽  
Teresa Tusié-Luna ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Cognitive Impairment ◽  
Cardiovascular Risk ◽  
Mild Cognitive Impairment ◽  
Cardiovascular Risk Factors ◽  
Apoe Genotype ◽  
Carrier Status ◽  
Apoe Ε4 ◽  
Increased Risk

Mild cognitive impairment (MCI) (amnestic or non-amnestic) has different clinical and neuropsychological characteristics, and its evolution is heterogeneous. Cardiovascular risk factors (CVRF), such as hypertension, diabetes, or dyslipidemia, and the presence of the Apolipoprotein E ε4 (ApoE ε4) polymorphism have been associated with an increased risk of developing Alzheimer’s disease (AD) and other dementias but the relationship is inconsistent worldwide. We aimed to establish the association between the ApoE ε4 carrier status and CVRF on MCI subtypes (amnestic and non-amnestic) in Mexican older adults. Cross-sectional study including 137 older adults (n = 63 with normal cognition (NC), n = 24 with amnesic, and n = 50 with non-amnesic MCI). Multinomial logistic regression models were performed in order to determine the association between ApoE ε4 polymorphism carrier and CVRF on amnestic and non-amnestic-MCI. ApoE ε4 carrier status was present in 28.8% participants. The models showed that ApoE ε4 carrier status was not associated neither aMCI nor naMCI condition. The interaction term ApoE ε4 × CVRF was not statistically significant for both types of MCI. However, CVRF were associated with both types of MCI and the association remained statistically significant after adjustment by sex, age, and education level. The carrier status of the ApoE genotype does not contribute to this risk.

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