scholarly journals Dementia Care in Diverse Older Adults in the U.S. Deep South and the Rest of the United States

2021 ◽  
pp. 1-13
Author(s):  
Maria Pisu ◽  
Roy C. Martin ◽  
Liang Shan ◽  
Giovanna Pilonieta ◽  
Richard E. Kennedy ◽  
...  
Keyword(s):  
United States ◽  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Drug Use ◽  
Ethnic Groups ◽  
The United States ◽  
Deep South ◽  
Racial Ethnic ◽  
The U.S

Background: Use of specialists and recommended drugs has beneficial effects for older adults living with Alzheimer’s disease and related dementia (ADRD). Gaps in care may exist for minorities, e.g., Blacks, and especially in the United States (U.S.) Deep South (DS), a poor U.S. region with rising ADRD cases and minority overrepresentation. Currently, we have little understanding of ADRD care utilization in diverse populations in this region and elsewhere in the U.S. (non-DS), and the factors that adversely impact it. Objective: To examine utilization of specialists and ADRD drugs (outcomes) in racial/ethnic groups of older adults with ADRD and the personal or context-level factors affecting these outcomes in DS and non-DS. Methods: We obtained outcomes and personal-level covariates from claims for 127,512 Medicare beneficiaries with ADRD in 2013–2015, and combined county-level data in exploratory factor analysis to define context-level covariates. Adjusted analyses tested significant association of outcomes with Black/White race and other factors in DS and non-DS. Results: Across racial/ethnic groups, 33%–43% in DS and 43%–50% in non-DS used specialists; 47%–55% in DS and 41%–48% in non-DS used ADRD drugs. In adjusted analyses, differences between Blacks and Whites were not significant. Vascular dementia, comorbidities, poverty, and context-level factor “Availability of Medical Resources” were associated with specialist use; Alzheimer’s disease and senile dementia, comorbidities, and specialist use were associated with drug use. In non-DS only, other individual, context-level covariates were associated with the outcomes. Conclusion: We did not observe significant gaps in ADRD care in DS and non-DS; however, research should further examine determinants of low specialist and drug use in these regions.

Agitation in Demented Patients in the United States

1997 ◽  
Vol 8 (S3) ◽  
pp. 487-490 ◽  
Author(s):  
Jacobo E. Mintzer ◽  
Paul Nietert ◽  
Kerri Costa ◽  
L. Randolph Waid
Keyword(s):  
United States ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Ethnic Groups ◽  
The United States ◽  
Behavioral Disturbances ◽  
Dementing Disorders

Alzheimer's disease and other dementing disorders have been reported in most ethnic groups living in the United States. Although the presence of these disorders in different U.S. ethnic groups is well documented, the characteristics of dementing disorders, such as the presence of behavioral disturbances, in these groups remains unexplored.

The Burden of Alzheimer’s Disease Mortality in the United States, 1999-2018

2021 ◽  
pp. 1-11
Author(s):  
Xuan Zhao ◽  
Cancan Li ◽  
Guoyong Ding ◽  
Yuanyuan Heng ◽  
An Li ◽  
...  
Keyword(s):  
United States ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Moving Average ◽  
Arima Model ◽  
The United States ◽  
Years Of Life Lost ◽  
Targeted Prevention ◽  
Mortality Trends ◽  
The U.S

Background: The increasing prevalence of Alzheimer’s disease (AD), along with the associated burden on healthcare systems, presents a substantial public health challenge. Objective: This study aimed to investigate trends in AD mortality and the relevant burden across the United States (U.S.) from 1999 to 2018 and to predict mortality trends between 2019 and 2023. Methods: Data on AD-related deaths between 1999 and 2018 were collected from the WONDER database administered by the U.S. Centers for Disease Control and Prevention (CDC). The Joinpoint Regression Program was used to analyze mortality trends due to AD. Years of life lost (YLL) were calculated to explore the burden of AD deaths. An autoregressive integrated moving average (ARIMA) model was employed to forecast mortality trends from 2019 to 2023. Results: Over a recent 20-year period, the number of AD deaths in the U.S. increased from 44,536 (31,145 females and 13,391 males) to 122,019 (84,062 females and 37,957 males). The overall age-adjusted mortality rate increased from 16.5/100,000 in 1999 to 30.5/100,000 in 2018. AD mortality is projected to reach 42.40/100000 within the year 2023. Overall, AD resulted in 322,773.00 YLL (2.33 per 1000 population) in 1999 and 658,501.87 YLL (3.68 per 1000 population) in 2018. Conclusion: Our findings demonstrate an increase in AD mortality in the U.S. from 1999 to 2018 as well as a rapid increase from 2019 to 2023. The high burden of AD deaths emphasizes the need for targeted prevention, early diagnosis, and hierarchical management.

scholarly journals Nationwide Inpatient Prevalence, Predictors, and Outcomes of Alzheimer’s Disease among Older Adults in the United States, 2002–2012

2015 ◽  
Vol 48 (2) ◽  
pp. 361-375 ◽  
Author(s):  
May A. Beydoun ◽  
Hind A. Beydoun ◽  
Alyssa A. Gamaldo ◽  
Ola S. Rostant ◽  
Greg A. Dore ◽  
...  
Keyword(s):  
United States ◽  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
The United States

Leveraging Technology in Detection of Alzheimer’s Disease: A Systematic Review (Preprint)

2019 ◽  
Author(s):  
Clemens Kruse ◽  
Britney Larson ◽  
Reagan Wilkinson ◽  
Roger Samson ◽  
Taylor Castillo
Keyword(s):  
Magnetic Resonance Imaging ◽  
United States ◽  
Systematic Review ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
The United States ◽  
Diagnostic Process ◽  
Resonance Imaging ◽  
Common Cause ◽  
Key Terms

BACKGROUND Incidence of AD continues to increase, making it the most common cause of dementia and the sixth-leading cause of death in the United States. 2018 numbers are expected to double by 2030. OBJECTIVE We examined the benefits of utilizing technology to identify and detect Alzheimer’s disease in the diagnostic process. METHODS We searched PubMed and CINAHL using key terms and filters to identify 30 articles for review. We analyzed these articles and reported them in accordance with the PRISMA guidelines. RESULTS We identified 11 technologies used in the detection of Alzheimer’s disease: 66% of which used some form of MIR. Functional, structural, and 7T magnetic resonance imaging were all used with structural being the most prevalent. CONCLUSIONS MRI is the best form of current technology being used in the detection of Alzheimer’s disease. MRI is a noninvasive approach that provides highly accurate results in the diagnostic process of Alzheimer’s disease.

scholarly journals Developing an Exergame Intervention to Prevent Alzheimer’s Disease

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 849-849
Author(s):  
Fang Yu ◽  
Dereck Salisbury ◽  
Tom Plocher
Keyword(s):  
Alzheimer’S Disease ◽  
Older Adults ◽  
Alzheimer's Disease ◽  
Cognitive Training ◽  
Exercise Prescription ◽  
Subjective Cognitive Decline ◽  
Grocery Shopping ◽  
Cognitive Effect ◽  
Ad Prevention ◽  
The U.S

Abstract Delaying the onset of Alzheimer’s Disease by five years could save the U.S. ~$89 billion by 2030. Aerobic exercise and cognitive training are two promising interventions for AD prevention and the two together may have a synergistic cognitive effect than either alone. The purposes of this study were to develop an integrated virtual-reality cognitive training (VRCT) and cycling intervention known as exergame and test its feasibility in older adults with subjective cognitive decline (SCD). The VRCT included grocery shopping from a list, flower shopping from a list, dinnerware sorting, book sorting, and postage estimation. Twelve participants enrolled in the 1-month program (12 sessions) achieved 81.2% session adherence and 81.4% adherence to the exercise prescription. The exergame was well accepted by 75% of the participants and 100% were satisfied with the exergame quality and delivery. To conclude, exergame is a flexible intervention that is feasible for older adults with SCD.

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