scholarly journals Relationship between MRI and amyloid PET measures with cognition in the Kaiser Healthy Aging and Diverse Life Experiences (KHANDLE) study

2020 ◽  
Vol 16 (S5) ◽  
Author(s):  
Kristen M. George ◽  
Rachel A Whitmer ◽  
M Maria Glymour ◽  
Elizabeth Rose Mayeda ◽  
Dan M Mungas ◽  
...  
2020 ◽  
Vol 16 (S5) ◽  
Author(s):  
Kristen M. George ◽  
Rachel A. Whitmer ◽  
Elizabeth Rose Mayeda ◽  
M. Maria Glymour ◽  
Dan M Mungas ◽  
...  

2019 ◽  
Vol 15 ◽  
pp. P835-P836
Author(s):  
Dan M. Mungas ◽  
Hector Hernandez Saucedo ◽  
Rachel A. Whitmer ◽  
Maria Glymour ◽  
Charlie S. DeCarli ◽  
...  

2006 ◽  
Vol 14 (7S_Part_19) ◽  
pp. P1010-P1011
Author(s):  
Sunita Miles ◽  
Paola Gilsanz ◽  
Elizabeth Rose Mayeda ◽  
Charlie S. DeCarli ◽  
Maria Glymour ◽  
...  

2013 ◽  
Vol 26 (4) ◽  
pp. 543-554 ◽  
Author(s):  
Kathryn A. Ellis ◽  
Cassandra Szoeke ◽  
Ashley I. Bush ◽  
David Darby ◽  
Petra L. Graham ◽  
...  

ABSTRACTBackground:The Australian Imaging, Biomarkers and Lifestyle (AIBL) Flagship Study of Ageing is a prospective study of 1,112 individuals (211 with Alzheimer's disease (AD), 133 with mild cognitive impairment (MCI), and 768 healthy controls (HCs)). Here we report diagnostic and cognitive findings at the first (18-month) follow-up of the cohort. The first aim was to compute rates of transition from HC to MCI, and MCI to AD. The second aim was to characterize the cognitive profiles of individuals who transitioned to a more severe disease stage compared with those who did not.Methods:Eighteen months after baseline, participants underwent comprehensive cognitive testing and diagnostic review, provided an 80 ml blood sample, and completed health and lifestyle questionnaires. A subgroup also underwent amyloid PET and MRI neuroimaging.Results:The diagnostic status of 89.9% of the cohorts was determined (972 were reassessed, 28 had died, and 112 did not return for reassessment). The 18-month cohort comprised 692 HCs, 82 MCI cases, 197 AD patients, and one Parkinson's disease dementia case. The transition rate from HC to MCI was 2.5%, and cognitive decline in HCs who transitioned to MCI was greatest in memory and naming domains compared to HCs who remained stable. The transition rate from MCI to AD was 30.5%.Conclusion:There was a high retention rate after 18 months. Rates of transition from healthy aging to MCI, and MCI to AD, were consistent with established estimates. Follow-up of this cohort over longer periods will elucidate robust predictors of future cognitive decline.


2021 ◽  
Vol 17 (S10) ◽  
Author(s):  
Camilla Calmasini ◽  
Kaitlin N Swinnerton ◽  
Scott C Zimmerman ◽  
Rachel L Peterson ◽  
Kristen M George ◽  
...  

Loquens ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. 060
Author(s):  
Elisa Pellegrino

Speech rhythm varies noticeably from language to language, and within the same language as a function of numerous linguistic, prosodic and speaker-dependent factors, among which is the speaker’s age. Cross-sectional studies comparing the acoustic characteristics of young and old voices have documented that healthy aging affects speech rhythm variability. This kind of studies, however, presents one fundamental limitation: They group together people with different life experiences, healthy conditions and aging rate. This makes it very difficult to disentangle the effect of aging from that of other factors when interpreting the rhythmic differences between younger and older adults. In the present paper, we overcame such difficulty by tracing rhythmic variability within one single individual longitudinally. We examined 5 public talks held by Noam Chomsky, from when he was 40 to when he was 89. Within-speaker rhythmic variability was quantified through a variety of rate measures (segment/consonant and vowel rate) and rhythmic metrics (%V, %Vn, nPVI-V, n-PVI-C). The results showed that physiological aging affected speech rate measures, but not the durational characteristics of vocalic and consonantal intervals. More longitudinal data from numerous speakers of the same language are necessary to identify generalizable patterns in age-related rhythmic variability.


2020 ◽  
Vol 16 (S10) ◽  
Author(s):  
Chloe W Eng ◽  
Paola Gilsanz ◽  
Elizabeth Rose Mayeda ◽  
M Maria Glymour ◽  
Dan M Mungas ◽  
...  

2020 ◽  
Vol 16 (S6) ◽  
Author(s):  
Kristen M. George ◽  
Paola Gilsanz ◽  
Rachel Peterson ◽  
M. Maria Glymour ◽  
Elizabeth Rose Mayeda ◽  
...  

2020 ◽  
Vol 30 (3) ◽  
pp. 469-478
Author(s):  
Kristen M. George ◽  
Rachel L Peterson ◽  
Paola Gilsanz ◽  
Dan M. Mungas ◽  
M. Maria Glymour ◽  
...  

Background: We assessed cross-sectional differences in sleep quality and risk factors among Asian, Black, Latino, and White participants in the Kaiser Healthy Aging and Diverse Life Experiences (KHANDLE) Study.Methods: KHANDLE enrolled community-dwelling adults aged ≥65 years living in northern California. Participants completed a modified Pittsburgh Sleep Quality Index to measure six sleep components and a global sleep score (scored 0-24). Covari­ates included age, sex, central adiposity, education, income, alcohol consumption, ever smoking, physical activity, and depres­sion. Ordinal logistic regression was used to model sleep component scores across race/ ethnic groups. Linear regression was used to assess racial/ethnic differences in global sleep score and the association between risk factors and global sleep score.Results: 1,664 participants with a mean age of 76 (SD=7) and mean global sleep score of 6 (SD=4) were analyzed. Using Latinos as reference (highest average sleep score), Blacks had an average .96 (.37, 1.54) unit higher global sleep score (worse sleep) while Asians [β: .04 (-.56, .63)] and Whites [β: .28 (-.29, .84)] did not significantly differ. Compared with Latinos, Blacks and Asians had greater odds of a worse score on the sleep duration component; Blacks and Whites had greater odds of a worse score on the sleep disturbances component; and, Whites had greater odds of a worse score on the medication component. Risk factors for poor sleep did not differ by race/ethnic­ity except alcohol consumption (interaction P=.04), which was associated with poor sleep in Blacks only.Conclusion: In this cohort, racial/ethnic differences in sleep quality were com­mon. Ethn Dis. 2020;30(3):469-478; doi:10.18865/ed.30.3.469


2019 ◽  
Vol 15 ◽  
pp. P1242-P1242
Author(s):  
Chloe W. Eng ◽  
Dan M. Mungas ◽  
Maria Glymour ◽  
Paola Gilsanz ◽  
Oanh L. Meyer ◽  
...  

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