Dataset Information

Social Engagement and Amyloid-?-Related Cognitive Decline in Cognitively Normal Older Adults.

ABSTRACT: OBJECTIVE:Public health recommendations promote social engagement to reduce risk of cognitive decline and dementia. The objective of this study was to evaluate the longitudinal associations of social engagement and cognition in cognitively normal older adults with varying levels of neocortical amyloid-?, the Alzheimer's disease (AD) pathologic marker. METHODS:Two hundred seventeen men and women, age 63-89 underwent assessments for social engagement and cognitive performance at baseline and 3 years later using the Community Healthy Activities Model Program for Seniors questionnaire and the Preclinical Alzheimer Cognitive Composite (PACC). Amyloid-? was measured using Pittsburgh compound B-PET. Multivariable regression models estimated main and interactive effects of baseline social engagement and amyloid-? on cognitive change. Reciprocal models estimated main and interactive effects of baseline cognitive performance and amyloid-? on change in social engagement. RESULTS:Baseline social engagement was associated with PACC change as a modifier but not as a main effect. Lower baseline social engagement was associated with greater amyloid-?-related PACC decline, while higher baseline social engagement was associated with relative preservation of PACC scores (??=?0.05, p?=?0.03). Reciprocally, lower baseline PACC score was associated with decline in social engagement score (??=?1.1, p?=?0.02). This association was not modified by amyloid-?, and there was no direct association of amyloid-? with change in social engagement. CONCLUSIONS:Low social engagement may be a marker of neurocognitive vulnerability in older adults who are cognitively normal but have evidence of AD pathophysiologic change. Understanding changes in social engagement in older adults may lead to earlier diagnosis of AD and advances in evidence-based prevention and treatment.

SUBMITTER: Biddle KD

PROVIDER: S-EPMC6778491 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Social Engagement and Amyloid-β-Related Cognitive Decline in Cognitively Normal Older Adults.

Biddle Kelsey D KD d'Oleire Uquillas Federico F Jacobs Heidi I L HIL Zide Benjamin B Kirn Dylan R DR Rentz Dorene M DM Johnson Keith A KA Sperling Reisa A RA Donovan Nancy J NJ

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry 20190510 11

<h4>Objective</h4>Public health recommendations promote social engagement to reduce risk of cognitive decline and dementia. The objective of this study was to evaluate the longitudinal associations of social engagement and cognition in cognitively normal older adults with varying levels of neocortical amyloid-β, the Alzheimer's disease (AD) pathologic marker.<h4>Methods</h4>Two hundred seventeen men and women, age 63-89 underwent assessments for social engagement and cognitive performance at bas ...[more]

PMID: 31248770

Similar Datasets

Project description:Importance:To reduce the rising incidence of clinical impairment due to Alzheimer disease, it is essential to define older adults at highest risk. Widowhood may be an unrecognized factor contributing to accelerated clinical progression along the Alzheimer disease pathway among cognitively unimpaired older adults. Objective:To determine whether widowhood status and level of brain ?-amyloid (ie, the Alzheimer disease pathologic protein) are additively or interactively associated with cognitive decline among cognitively unimpaired older adults. Design, Setting, and Participants:In this cohort study, 257 married, widowed, and unmarried (ie, never married, divorced, or separated) participants from the Harvard Aging Brain Study longitudinal cohort underwent baseline evaluation of neocortical ?-amyloid levels using Pittsburgh compound B positron emission tomography and 4 annual cognitive assessments. Data were collected from September 2010 to February 2017 and analyzed from July 2018 to July 2019. Main Outcomes and Measures:Cognitive performance was measured using the Preclinical Alzheimer Cognitive Composite. Results:Of the 257 participants, 153 (59.5%) were women, and the mean (SD) age was 73.5 (6.1) years; 145 participants (56.4%) were married (66 [45.5%] women), 77 (30.0%) were unmarried (56 [72.7%] women), and 35 (13.6%) were widowed (31 [88.6%] women). Compared with married participants, widowed participants demonstrated worsening cognitive performance after adjusting for age, sex, socioeconomic status, depression, and ?-amyloid levels (??=?-0.11; 95% CI, -0.19 to -0.04; P?=?.002) with no difference observed between married and unmarried participants. Furthermore, widowed participants with higher baseline ?-amyloid levels exhibited steeper cognitive decline (??=?-0.22; 95% CI, -0.42 to -0.03; P?=?.02), indicating both independent and interactive associations of ?-amyloid levels and widowhood with cognition. In a secondary model using dichotomous ?-amyloid-marital status groupings, the rate of cognitive decline among widowed participants with high ?-amyloid was nearly 3 times faster than among married participants with high ?-amyloid (widowed, high ?-amyloid: ?, -0.33; 95% CI, -0.46 to -0.19; P?<?.001; married, high ?-amyloid: ?, -0.12; 95% CI, -0.18 to -0.01; P?<?.001). Conclusions and Relevance:In a sample of cognitively unimpaired older adults, being widowed was associated with accelerated ?-amyloid-related cognitive decline during 3 years. Cognitively unimpaired, widowed older adults were particularly susceptible to Alzheimer disease clinical progression, emphasizing the need for increased research attention and evidenced-based interventions for this high-risk group.

Project description:ObjectiveTo understand the role of depressive symptoms in preclinical Alzheimer's disease, it is essential to define their temporal relationship to Alzheimer's proteinopathies in cognitively normal older adults. The study objective was to examine associations of brain amyloid beta and longitudinal measures of depression and depressive symptom clusters in a cognitively normal sample of older adults.MethodA total of 270 community-dwelling, cognitively normal elderly individuals underwent baseline Pittsburgh compound B (PiB) positron emission tomography (PET) measures of cortical aggregate amyloid beta and annual assessments with the 30-item Geriatric Depression Scale (GDS). The authors evaluated continuous PiB binding as a predictor of GDS score or GDS cluster, calculated as total scores and mean scores for three GDS item clusters (apathy-anhedonia, dysphoria, and anxiety-concentration), across time (1-5 years; mean=3.8 years) in separate mixed-effects models with backward elimination. Initial predictors included PiB binding, age, sex, Hollingshead score, American National Adult Reading Test (AMNART) score, apolipoprotein E ε4 status, depression history, and their interactions with time.ResultsHigher PiB binding predicted accelerated rates of increase in GDS score over time, adjusting for depression history. Higher PiB binding also predicted steeper rates of increase for anxiety-concentration scores, adjusting for depression history and the AMNART score-by-time interaction. In a post hoc model estimating anxiety scores without concentration disturbance items, the PiB binding-by-time interaction remained significant.ConclusionsHigher amyloid beta burden was associated with increasing anxious-depressive symptoms over time in cognitively normal older individuals. Prior depression history was related to higher but not worsening symptom ratings. These results suggest a direct or indirect association of elevated amyloid beta levels with worsening anxious-depressive symptoms and support the hypothesis that emerging neuropsychiatric symptoms represent an early manifestation of preclinical Alzheimer's disease.

Project description:ObjectivesRecent studies regarding the relationships between plasma amyloid-β (Aβ) levels and cognitive performance had inconsistent results. In this study, we aimed to characterize the relationship between cognitive decline and plasma Aβ levels in a large-sample cognitively normal population.MethodsThis population-based, prospective cohort study included 1,240 participants with normal cognition. The Mini-Mental State Examination (MMSE) was used to assess cognitive function at baseline and 2 years later. Restricted cubic splines, multivariate logistic regression, and multivariate linear regression models were used to evaluate the type of relationship between cognitive decline during the 2-year follow-up period and plasma Aβ levels (Aβ40, Aβ42, and Aβ42 / 40).ResultsParticipants with moderate Aβ40 levels had the highest risk of cognitive decline during a 2-year follow-up relative to individuals with low Aβ40 [odds ratio (OR): 0.60, 95% confidence interval (CI): 0.45-0.81, p < 0.001] or high Aβ40 (OR: 0.65, 95% CI: 0.49-0.87, p = 0.004) levels. The association between Aβ40 and cognitive decline did not depend on sex, education level, or APOE ε4 status. There was an interaction found between age (≤ 65 and > 65 years) and Aβ40 (p for interaction = 0.021). In individuals older than 65 years, there was a positive linear relationship between plasma Aβ40 and cognitive decline (OR: 1.02, 95% CI: 1.00-1.04, p = 0.027). For participants ≤ 65 years old, the lower Aβ40 and higher Aβ40 groups had a lower risk of cognitive decline than the medium Aβ40 group (OR: 0.69, 95% CI: 0.50-0.94, p = 0.02; OR: 0.63, 95% CI: 0.45-0.86, p = 0.004). None of relationship between plasma Aβ42, Aβ42 / 40 and cognitive decline was found during a 2-year follow-up.ConclusionThe relationship between plasma Aβ40 and cognitive decline was not linear, but an inverted-U shape in a cognitively normal population. The underlying mechanism requires further investigation.

Dataset Information

Social Engagement and Amyloid-?-Related Cognitive Decline in Cognitively Normal Older Adults.

Publications

Social Engagement and Amyloid-β-Related Cognitive Decline in Cognitively Normal Older Adults.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets