scholarly journals Racial Differences in Dietary Relations to Cognitive Decline and Alzheimer’s Disease Risk: Do We Know Enough?

2020 ◽  
Vol 14 ◽  
Author(s):  
Puja Agarwal ◽  
Martha C. Morris ◽  
Lisa L. Barnes
2021 ◽  
Author(s):  
Nicolai Franzmeier ◽  
Rik Ossenkoppele ◽  
Matthias Brendel ◽  
Anna Rubinski ◽  
Ruben Smith ◽  
...  

2021 ◽  
Vol 17 (S1) ◽  
Author(s):  
Nicolai Franzmeier ◽  
Rik Ossenkoppele ◽  
Matthias Brendel ◽  
Anna Rubinski ◽  
Ruben Smith ◽  
...  

2017 ◽  
Vol 57 (2) ◽  
pp. 423-436 ◽  
Author(s):  
Shea J. Andrews ◽  
Debjani Das ◽  
Kaarin J. Anstey ◽  
Simon Easteal

2020 ◽  
Vol 16 (S5) ◽  
Author(s):  
Nicolai Franzmeier ◽  
Marc Suárez‐Calvet ◽  
Lukas Frontzkowski ◽  
Estrella Morenas‐Rodríguez ◽  
Gernot Kleinberger ◽  
...  

2019 ◽  
Vol 34 (6) ◽  
pp. 846-846
Author(s):  
J Osuna ◽  
K Thomas ◽  
E Edmonds ◽  
K Bangen ◽  
A Weigand ◽  
...  

Abstract Objective Early identification of those at risk for mild cognitive impairment (MCI) and Alzheimer’s disease (AD) is critical for early intervention. Recent work shows that subtle cognitive decline (SCD), operationally-defined using sensitive neuropsychological scores, predicts progression to MCI/AD and is associated with AD biomarkers. We aimed to determine whether SCD adds unique value in predicting progression to MCI/AD above and beyond other AD risk factors. Method 547 cognitively unimpaired participants from the Alzheimer’s Disease Neuroimaging Initiative (359 without SCD; 188 with SCD) underwent neuropsychological testing and lumbar puncture. Participants were classified as SCD if they performed >1 SD below the demographically-adjusted mean on 1) two neuropsychological total scores in different cognitive domains, or 2) two memory test process scores (e.g., intrusion errors), or 3) one total score and one process score. Cox regressions examined whether SCD status predicted progression to MCI and AD within 5 years after adjusting for age, education, sex, MMSE, depressive symptoms, ischemia risk, apolipoprotein E genotype, and AD biomarker “positivity” based on the cerebrospinal fluid phosphorylated tau-to-β-amyloid ratio. Results SCD status predicted progression to MCI (HR = 2.74, 95% CI = 2.07-3.63, p < .001) and AD (HR = 2.20, 95% CI = 1.04-4.65, p = .04) within 5 years, even after including known AD risk factors in the model. Conclusion SCD conveys a 2-3 fold increased risk of progression to MCI/AD and is a unique predictor above and beyond risk factors that are commonly used in preclinical AD research. These findings support our novel SCD criteria as a cost-effective and non-invasive method for identifying those at risk for future cognitive decline.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S468-S469 ◽  
Author(s):  
Roger Wong

Abstract There is substantial evidence indicating that among all racial groups, Blacks have the highest Alzheimer’s disease (AD) risk. Despite the wide support for this disparity, the reasons for these racial differences in AD risk remain unclear. The purpose of this study was to examine how lifestyle behaviors (physical activity, smoking, and social contacts) mediate and moderate the relationship between race and AD risk among Black and White older adults. This study used seven annual waves (2011-2017) of prospective data from the National Health and Aging Trends Study (NHATS), a large nationally representative U.S. sample of older adults. At each wave, physical activity was measured as whether they engaged in vigorous physical activities; smoking was measured as whether they were cigarette smokers; and social contacts was measured as whether they visited friends/family outside of their home. The dependent variable was age of AD diagnosis. Multivariate analyses were conducted using the Cox proportional hazards model. Blacks had a 1.3 times significantly higher risk for AD compared to Whites (Hazard Ratio [HR]=1.31, p=.03). After controlling for lifestyle behaviors as a mediator, racial differences in AD risk were attenuated and no longer significantly different between Blacks and Whites (HR=1.05, p=.74). For the moderation model, interactions between race and each lifestyle behavior generated no statistically significant results. Our findings indicate lifestyle behaviors contribute to racial differences in AD risk between Blacks and Whites. Future research is needed among Black populations to identify specific lifestyle behaviors that are especially protective against AD as targets of intervention.


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