Ability to manage everyday technology : a comparison of persons with dementia or mild cognitive impairment and older adults without cognitive impairment

Purpose: The ability to manage technology is important for performance and participation in everyday activities. This study compares the management of technology in everyday activities among people with mild-stage dementia or MCI with older adults without known cognitive impairment (OA). Method: Persons with mild-stage dementia (n=38), MCI (n=34) and OA (n=45) were observed and interviewed when managing their everyday technology at home by using the Management of Everyday Technology Assessment (META). A computer application of a Rasch measurement model was used to generate measures of participants’ ability to manage technology. These measures were compared group-wise with ANCOVA. Results: The management of everyday technology was significantly more challenging for the samples with mild-stage AD or MCI compared to the OA sample (AD – OA, p<0.001; d=1.87, MCI – OA, p<0.001; d=0.66 ). The sample with MCI demonstrated a significantly higher ability to manage technology than the sample with mild-stage AD (AD – MCI, p<0.001; d=1.23). However, there were overlaps between the groups and decreased ability appeared in all groups. Conclusions: Persons with cognitive impairment are likely to have decreased ability to manage everyday technology. Since their decreased ability can have disabling consequences, ability to manage technology is important to consider when assessing ability to perform everyday activities.Health Care Sciences Postgraduate SchoolBotkyrka communitySwedish BrainpowerThe regional agreement on medical training and clinical research (ALF) between the Stockholm County Council and the Karolinska Institutet.Accepte

Individual variability and environmental characteristics influence older adults’ abilities to manage everyday technology

Background: The ability to manage everyday technology (ET) such as computers and microwave ovens is increasingly required in the performance of everyday activities and participation in society. This study aimed to identify aspects that influence the ability to manage ET among older adults with and without cognitive impairment. Methods: Older adults with mild Alzheimer’s disease and mild cognitive impairment and without known cognitive impairment were assessed as they managed their ET at home. Data was collected with the Management of Everyday Technology Assessment (META). Rasch-based measures of the person’s ability to manage ET were analyzed. These measures were used as dependent variables in backward procedure ANOVA analyses. Different pre-defined aspects that could influence the ability to manage ET were used as independent variables. Results: Three aspects had a significant effect upon the ability to manage ET. These were: (1) variability in intrapersonal capacities (such as “the capacity to pay attention and focus”, (2) environmental characteristics (such as “the impact of the design”) and (3) diagnostic group. Conclusions: Variability in intrapersonal capacities seems to be of more importance than the actual level of intrapersonal capacity in relation to the ability to manage ET for this sample. This implies that investigations of ability to manage ET should also include intra-person variability. Additionally, adaptations in environmental characteristics could simplify the management of ET to support older adults as technology users.Health Care Sciences Postgraduate SchoolSwedish BrainpowerBotkyrka municipalityThe Swedish Council for Working Life and Social Research (FAS)The regional agreement on medical training and clinical research (ALF) between the Stockholm County Council and Karolinska InstitutetAccepte

Individual variability and environmental characteristics influence older adults' abilities to manage everyday technology

Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch)Background: The ability to manage everyday technology (ET), such as computers and microwave ovens, is increasingly required in the performance of everyday activities and participation in society. This study aimed to identify aspects that influence the ability to manage ET among older adults with and without cognitive impairment. Methods: Older adults with mild Alzheimer's disease and mild cognitive impairment and without known cognitive impairment were assessed as they managed their ET at home. Data were collected using the Management of Everyday Technology Assessment (META). Rasch-based measures of the person's ability to manage ET were analyzed. These measures were used as dependent variables in backward procedure ANOVA analyses. Different predefined aspects that could influence the ability to manage ET were used as independent variables. Results: Three aspects had a significant effect upon the ability to manage ET. These were: (1) variability in intrapersonal capacities (such as “the capacity to pay attention and focus”, (2) environmental characteristics (such as “the impact of the design”) and (3) diagnostic group. Conclusions: Variability in intrapersonal capacities seems to be of more importance than the actual level of intrapersonal capacity in relation to the ability to manage ET for this sample. This implies that investigations of ability to manage ET should also include intraperson variability. Additionally, adaptations in environmental characteristics could simplify the management of ET to support older adults as technology users

Positron emission tomography imaging and clinical progression in relation to molecular pathology in the first Pittsburgh Compound B positron emission tomography patient with Alzheimer’s disease

The accumulation of β-amyloid in the brain is an early event in Alzheimer’s disease. This study presents the first patient with Alzheimer’s disease who underwent positron emission tomography imaging with the amyloid tracer, Pittsburgh Compound B to visualize fibrillar β-amyloid in the brain. Here we relate the clinical progression, amyloid and functional brain positron emission tomography imaging with molecular neuropathological alterations at autopsy to gain new insight into the relationship between β-amyloid accumulation, inflammatory processes and the cholinergic neurotransmitter system in Alzheimer’s disease brain. The patient underwent positron emission tomography studies with 18F-fluorodeoxyglucose three times (at ages 53, 56 and 58 years) and twice with Pittsburgh Compound B (at ages 56 and 58 years), prior to death at 61 years of age. The patient showed a pronounced decline in cerebral glucose metabolism and cognition during disease progression, while Pittsburgh Compound B retention remained high and stable at follow-up. Neuropathological examination of the brain at autopsy confirmed the clinical diagnosis of pure Alzheimer’s disease. A comprehensive neuropathological investigation was performed in nine brain regions to measure the regional distribution of β-amyloid, neurofibrillary tangles and the levels of binding of 3H-nicotine and 125I-α-bungarotoxin to neuronal nicotinic acetylcholine receptor subtypes, 3H-L-deprenyl to activated astrocytes and 3H-PK11195 to microglia, as well as butyrylcholinesterase activity. Regional in vivo 11C-Pittsburgh Compound B-positron emission tomography retention positively correlated with 3H-Pittsburgh Compound B binding, total insoluble β-amyloid, and β-amyloid plaque distribution, but not with the number of neurofibrillary tangles measured at autopsy. There was a negative correlation between regional fibrillar β-amyloid and levels of 3H-nicotine binding. In addition, a positive correlation was found between regional 11C-Pittsburgh Compound B positron emission tomography retention and 3H-Pittsburgh Compound B binding with the number of glial fibrillary acidic protein immunoreactive cells, but not with 3H-L-deprenyl and 3H-PK-11195 binding. In summary, high 11C-Pittsburgh Compound B positron emission tomography retention significantly correlates with both fibrillar β-amyloid and losses of neuronal nicotinic acetylcholine receptor subtypes at autopsy, suggesting a closer involvement of β-amyloid pathology with neuronal nicotinic acetylcholine receptor subtypes than with inflammatory processes

Single-Domain Amnestic Mild Cognitive Impairment Identified by Cluster Analysis Predicts Alzheimer’s Disease in the European Prospective DESCRIPA Study

Background/Aims: To identify prodromal Alzheimer's disease (AD) subjects using a data-driven approach to determine cognitive profiles in mild cognitive impairment (MCI). Methods: A total of 881 MCI subjects were recruited from 20 memory clinics and followed for up to 5 years. Outcome measures included cognitive variables, conversion to AD, and biomarkers (e. g. CSF, and MRI markers). Two hierarchical cluster analyses (HCA) were performed to identify clusters of subjects with distinct cognitive profiles. The first HCA included all subjects with complete cognitive data, whereas the second one selected subjects with very mild MCI (MMSE >= 28). ANOVAs and ANCOVAs were computed to examine whether the clusters differed with regard to conversion to AD, and to AD-specific biomarkers. Results: The HCAs identified 4-cluster solutions that best reflected the sample structure. One cluster (aMCIsingle) had a significantly higher conversion rate (19%), compared to subjective cognitive impairment (SCI, p < 0.0001), and non-amnestic MCI (naMCI, p = 0.012). This cluster was the only one showing a significantly different biomarker profile (A beta(42), t-tau, APOE epsilon 4, and medial temporal atrophy), compared to SCI or naMCI. Conclusion: In subjects with mild MCI, the single-domain amnestic MCI profile was associated with the highest risk of conversion, even if memory impairment did not necessarily cross specific cut-off points. A cognitive profile characterized by isolated memory deficits may be sufficient to warrant applying prevention strategies in MCI, whether or not memory performance lies below specific z-scores. This is supported by our preliminary biomarker analyses. However, further analyses with bigger samples are needed to corroborate these findings. Copyright (C) 2013 S. Karger AG, Base

The APOE &epsilon;4 Allele Affects Cognitive Functions Differently in Carriers of APP Mutations Compared to Carriers of PSEN1 Mutations in Autosomal-Dominant Alzheimer&rsquo;s Disease

Mounting evidence shows that the APOE &epsilon;4 allele interferes with cognition in sporadic Alzheimer&rsquo;s disease. Less is known about APOE in autosomal-dominant Alzheimer&rsquo;s disease (adAD). The present study explored the effects on cognition associated with the gene&ndash;gene interactions between the APOE gene and the APP and PSEN1 genes in adAD. This study includes mutation carriers (MC) and non-carriers (NC) from adAD families with mutations in APP (n = 28 and n = 25; MC and NC, respectively) and PSEN1 (n = 12 and n = 15; MC and NC, respectively) that represent the complete spectrum of disease: AD dementia (n = 8) and mild cognitive impairment (MCI, n = 15 and presymptomatic AD, n = 17). NC represented unimpaired normal aging. There was no significant difference in the distribution of APOE &epsilon;4 (absence vs. presence) between the APP vs. PSEN1 adAD genes and mutation status (MC vs. NC). However, episodic memory was significantly affected by the interaction between APOE and the APP vs. PSEN1 genes in MC. This was explained by favorable performance in the absence of APOE &epsilon;4 in PSEN1 compared to APP MC. Similar trends were seen in other cognitive functions. No significant associations between APOE &epsilon;4 and cognitive performance were obtained in NC. In conclusion, cognitive effects of APOE&ndash;adAD gene interaction were differentiated between the PSEN1 and APP mutation carriers, indicating epistasis