P3-492: Readability assessment of internet patient information on Alzheimer's disease provided by Alzheimer's disease research centers (ADRCs): Implications for health literacy

2008 ◽  
Vol 4 ◽  
pp. T666-T666
Author(s):  
Amy E. Sanders ◽  
Richard B. Lipton
2021 ◽  
Vol 36 (6) ◽  
pp. 1060-1060
Author(s):  
Zachary Peart ◽  
Samantha Spagna ◽  
Bailey McDonald ◽  
Brittny Arias ◽  
D'anna Sydow ◽  
...  

Abstract Objective To investigate the effects of Type 2 Diabetes (T2D) on performance on attention and executive function measures in a sample of MCI patients. Method Individuals with a clinician diagnosis of MCI with T2D and [n = 719,Mage = 75.24,50.3% female] and MCI persons without T2D [n = 719,Mage = 75.21,47.1% female] were selected from the Alzheimer’s Disease Research Centers database by the National Institute on Aging. Those with motor disturbances were excluded from the analysis. Significant differences (p < 0.001) were found for race and education between groups. Results Multiple ANCOVAs controlled for gender, education, age, and race on performance. Significant differences (p < 0.001) were found in performance on the Trail Making Test [A, B], Digit Span forward [longest recall, correct trials], Digit Span backward [longest recall, correct trials], and Verbal Fluency tasks [F word, L words]. No significant differences were found in the animal and vegetable naming fluency tasks. The T2D group showed poorer mean scores on every test analyzed. Conclusion Results indicated modestly lower performance on measures of attention and executive functioning in MCI patients with comorbid T2D. Previous research supports these conclusions, as T2D has been associated with increased risk for dementia, accelerated decline from MCI to dementia, and modestly lower scores on cognitive tests via effects of microvascular function and altered glucose metabolism. Future studies should aim to identify protective factors in T2D cognitive decrements while controlling for exercise, diet, SES, and underlying medical comorbidities. The NACC database is funded by NIA/NIH Grant U01 AG016976. NACC data are contributed by the NIA-funded Alzheimer’s Disease Research Centers.


2020 ◽  
Vol 11 (2) ◽  
pp. 114-124
Author(s):  
Christine M. Suver ◽  
Jennifer K. Hamann ◽  
Erin M. Chin ◽  
Felicia C. Goldstein ◽  
Hanna M. Blazel ◽  
...  

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 80-80
Author(s):  
Shana Stites ◽  
Joyce Balls-Berry ◽  
Lisa Barnes

Abstract Social and structural determinants of health (SSDoH) are conditions in the environments in which individuals are born, live, learn, work, play, worship, and age that affect health, functioning, and quality-of-life outcomes across the life course. Growing evidence suggests that SSDoH can help to explain heterogeneity in cognitive, functional, and interventional outcomes in Alzheimer’s disease and related disorders research and clinical practice. The National Institute on Aging (NIA) has prioritized collecting SSDoH data in order to elucidate disease mechanisms and aid discovery of a disease modifying treatments. However, a major nexus of ADRD research, the national network of Alzheimer’s Disease Research Centers (ADRCs), does not routinely collect SSDoH data. We describe a model for feasibly gathering and analyzing SSDoH data across Alzheimer’s Disease Research Centers (ADRCs). We lay out theoretical underpinnings of key constructs and their measure, empirical evidence for their importance, and their potential for elucidating disease and prevention mechanisms. Toward a goal of translation, we describe a general approach to measuring SSDoH along with core set of measures. We also describe empirical support and rationales for assessing SSDoH in standing geographically and culturally diverse research cohorts, and guiding considerations in selecting modules to serve unique communities. We specifically address SSDoH in Black, Hispanic/Latin, and refugee populations with an eye toward conveying how geographic proximity, socioeconomic status, ethnoracial factors, and sex\gender\sexual orientation affect populations in ways directly relevant to Alzheimer’s disease (AD) and Alzheimer’s disease related dementias (ADRD).


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