scholarly journals LGBTQIA+ Caregiving and Care Needs of Persons Living With Alzheimer’s Disease and Related Dementias

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 404-405
Author(s):  
Jason Flatt ◽  
Whitney Wharton ◽  
Joel Anderson

Abstract Lesbian, gay, bisexual, transgender, queer, intersex, and/or asexual (LGBTQIA+) older adults are a growing population. LGBTQIA+ persons living with Alzheimer’s disease and related dementias (ADRD) face unique challenges in terms of accessing care and support compared with their non-LGBTQIA+ counterparts. The care challenges faced by LGBTQIA+ people living with ADRD may be compounded by the fact they are more likely to be single, more likely to live alone, and less likely to have children. Several studies have started to explore the unique needs of LGBTQIA+ caregivers and persons living with ADRD. In this symposium, we highlight current research addressing the psychosocial and health-related needs of LGBTQIA+ caregivers and persons living with ADRD. Two presentations address psychosocial factors and health among LGBTQIA+ caregivers of persons with ADRD. Krystal Kittle will present analyses using population-based data on LGBTQIA+ caregivers in terms of caregiving burden and mental health. Shana Stites will present results from the Health and Retirement Study highlighting differences among same-sex spouses in terms of caregiving patterns and research participation. Next, Ethan Cicero will present prevalence estimates of care needs and challenges among diverse transgender adults living with memory problems. Finally, we will highlight a promising intervention for LGBTQIA+ caregivers of persons with ADRD. Jason Flatt will describe the adaptation and feasibility of the Savvy Caregiver program for LGBTQIA+ caregivers. Joel Anderson, an expert in LGBTQIA+ caregiving for persons with ADRD, will facilitate a conversation about these results and place them in the context of current LGBTQIA+ and ADRD research.

Dementia ◽  
2018 ◽  
pp. 147130121882096
Author(s):  
Thomas A Ala ◽  
GaToya Simpson ◽  
Marshall T Holland ◽  
Vajeeha Tabassum ◽  
Maithili Deshpande ◽  
...  

2021 ◽  
Vol 79 (1) ◽  
pp. 225-235
Author(s):  
Maya Arvidsson Rådestig ◽  
Johan Skoog ◽  
Henrik Zetterberg ◽  
Jürgen Kern ◽  
Anna Zettergren ◽  
...  

Background: We have previously shown that older adults with preclinical Alzheimer’s disease (AD) pathology in cerebrospinal fluid (CSF) had slightly worse performance in Mini-Mental State Examination (MMSE) than participants without preclinical AD pathology. Objective: We therefore aimed to compare performance on neurocognitive tests in a population-based sample of 70-year-olds with and without CSF AD pathology. Methods: The sample was derived from the population-based Gothenburg H70 Birth Cohort Studies in Sweden. Participants (n = 316, 70 years old) underwent comprehensive cognitive examinations, and CSF Aβ-42, Aβ-40, T-tau, and P-tau concentrations were measured. Participants were classified according to the ATN system, and according to their Clinical Dementia Rating (CDR) score. Cognitive performance was examined in the CSF amyloid, tau, and neurodegeneration (ATN) categories. Results: Among participants with CDR 0 (n = 259), those with amyloid (A+) and/or tau pathology (T+, N+) showed similar performance on most cognitive tests compared to participants with A-T-N-. Participants with A-T-N+ performed worse in memory (Supra span (p = 0.003), object Delayed (p = 0.042) and Immediate recall (p = 0.033)). Among participants with CDR 0.5 (n = 57), those with amyloid pathology (A+) scored worse in category fluency (p = 0.003). Conclusion: Cognitively normal participants with amyloid and/or tau pathology performed similarly to those without any biomarker evidence of preclinical AD in most cognitive domains, with the exception of slightly poorer memory performance in A-T-N+. Our study suggests that preclinical AD biomarkers are altered before cognitive decline.


2016 ◽  
Vol 113 (42) ◽  
pp. E6535-E6544 ◽  
Author(s):  
Xiuming Zhang ◽  
Elizabeth C. Mormino ◽  
Nanbo Sun ◽  
Reisa A. Sperling ◽  
Mert R. Sabuncu ◽  
...  

We used a data-driven Bayesian model to automatically identify distinct latent factors of overlapping atrophy patterns from voxelwise structural MRIs of late-onset Alzheimer’s disease (AD) dementia patients. Our approach estimated the extent to which multiple distinct atrophy patterns were expressed within each participant rather than assuming that each participant expressed a single atrophy factor. The model revealed a temporal atrophy factor (medial temporal cortex, hippocampus, and amygdala), a subcortical atrophy factor (striatum, thalamus, and cerebellum), and a cortical atrophy factor (frontal, parietal, lateral temporal, and lateral occipital cortices). To explore the influence of each factor in early AD, atrophy factor compositions were inferred in beta-amyloid–positive (Aβ+) mild cognitively impaired (MCI) and cognitively normal (CN) participants. All three factors were associated with memory decline across the entire clinical spectrum, whereas the cortical factor was associated with executive function decline in Aβ+ MCI participants and AD dementia patients. Direct comparison between factors revealed that the temporal factor showed the strongest association with memory, whereas the cortical factor showed the strongest association with executive function. The subcortical factor was associated with the slowest decline for both memory and executive function compared with temporal and cortical factors. These results suggest that distinct patterns of atrophy influence decline across different cognitive domains. Quantification of this heterogeneity may enable the computation of individual-level predictions relevant for disease monitoring and customized therapies. Factor compositions of participants and code used in this article are publicly available for future research.


2009 ◽  
Vol 30 (2) ◽  
pp. 330-332 ◽  
Author(s):  
B.Z. Alizadeh ◽  
O.T. Njajou ◽  
M.R. Millán ◽  
A. Hofman ◽  
M.M. Breteler ◽  
...  

2000 ◽  
Vol 19 (6) ◽  
pp. 327-332 ◽  
Author(s):  
Anne M. Koivisto ◽  
Päivi Lempiäinen ◽  
Keijo Koivisto ◽  
Eeva-Liisa Helkala ◽  
Leena Mykkänen ◽  
...  

2018 ◽  
Vol 31 (04) ◽  
pp. 571-577 ◽  
Author(s):  
Margaret Miller ◽  
Dennis Orwat ◽  
Gelareh Rahimi ◽  
Jacobo Mintzer

ABSTRACTIntroduction:The relationship between Alzheimer’s Disease (AD) and alcohol addiction is poorly characterized. Arrests for driving under the influence (DUI) can serve as a proxy for alcohol addiction. Therefore, the potential association between DUI and AD could be helpful in understanding the relationship between alcohol abuse and AD.Materials and methods:A retrospective, population-based cohort study using state health and law enforcement data was performed. The study cross-referenced 141,281 South Carolina Alzheimer’s Disease Registry cases with state law enforcement data.Results:Of the 2,882 registry cases (1.4%) found to have a history of at least one DUI arrest, cases were predominantly White (58.7%) and male (77.4%). Results showed a correlation coefficient of 0.7 (p < 0.0001) between the age of first DUI arrest and the age of AD diagnosis. A dose-response relationship between the number of DUIs and age of AD onset was found to exist, where those with a history of DUI arrest were diagnosed an average of 9.1 years earlier, with a further 1.8 years earlier age at diagnosis in those with two or more arrests for DUI. A history of DUI arrest was also found to be negatively associated with survival after diagnosis, with a 10% decreased life expectancy in those with a DUI arrest history.Conclusions:Driving under the influence, a potential indicator of alcohol addiction, is associated with an earlier onset of AD registry diagnosis and shortened survival after diagnosis. This study contributes to the growing body of evidence suggesting that some cases of AD are alcohol related and, possibly, postponable or preventable.


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