968 research outputs found
Demographic and clinical characteristics of UK military veterans attending a psychological therapies service
© 2014 The Authors. Aims and method To investigate the demographic and clinical characteristics of subgroups of UK veterans attending a dedicated psychological therapies service following the Improving Access to Psychological Therapies (IAPT) treatment model. Veterans accessing a newly established service in the north-west were categorised into three groups: early service leavers, those with a physical disability, and substance and/or alcohol misusers. Anxiety, depression and social functioning were measured pre- and post-treatment. Results Veterans vary in their demographic and clinical characteristics as well as in treatment efficacy, as measured by the post-treatment scores on probable depression and anxiety. Therapy appears to be most effective in early service leavers, whereas veterans with a physical disability or a substance or alcohol misuse problem tend not to do as well in terms of symptoms of depression or anxiety. Clinical implications This study highlights the importance of targeting different veteran subgroups for dedicated psychological therapy
Vacancy formation in Fe-Al of B2 and DO3 alloys
The positron lifetime spectroscopy is employed to study vacancy formation in intermetallic phases of DO3 and B2 structures from Fe-Al system as a function of Al concentration, ternary additive (Cr) and their thermal
treatment. Lifetime spectra were fitted en block by a simple trapping model encoded directly to the software (computer program LT-9). In the investigated range of Al concentration (28, 38, 42, and 45 at%) only two types
of defects are found. In DO3 region a single type of defects (characterized by positron lifetime ¿1 = 170 § 2 ps) is detected and indicated as vacancies in the Fe sublattice (VFe). In B2 region a small amount of an additional
type of defects (characterized by positron lifetime ¿2 = 214 § 13 ps) appears. Supposedly, these are vacancies in Al sublattice (VAl). For Fe28Al and Fe28Al5Cr samples changes in VFe concentration are determined as a
function of the sample composition, annealing time at 1000±C and quenching the samples to air and oil. The defect concentration increases with increase in Al content. For FeAl with Al above 38 at%, the total concentration of defects is so high that positrons are exclusively trapped by defects. Therefore
the concentrations VAl and VFe cannot be determined separately. However, the ratio of VAl concentration to VFe concentration is estimated as a function of Al content
Deconstructing the performance of everyday activities: a case in dementia
Background: The assessment of everyday functioning in dementia currently is very global and in most cases fails to provide an in-depth overview of specific areas of deficits. Every activity comprises different sub-tasks which may be impaired to different degrees. Performance of some sub-tasks might be maintained and could thus be the foundation for remaining independent for longer. Thus, the objective of this study was to explore the benefits of breaking down everyday activities into sub-tasks. Methods: A total of 183 family carers of people with mild dementia completed the revised Interview for Deteriorations in Daily Living Activities in Dementia 2 (R-IDDD2) rating their relative’s everyday functioning. Each of the 20 activities comprised three sub-tasks. Data were analysed using ANOVA with Bonferroni corrections, and sub-tasks were clustered in relation to different forms of cognition. Results: The majority of activities showed at least one major area of impairment. Sub-tasks could be clustered based on different types of cognition. Several sub-tasks had a focus on memory (forgetting it is time to do the cleaning; forgetting previously known telephone numbers), whereby short-term, long-term, and prospective memory could be distinguished further. Other sub-tasks were clustered into attention (getting more distracted when driving) and executive function (sorting out bills). Conclusions: The R-IDDD2 and its analysis of sub-task performance offers a novel platform to examine impairments comprehensively. This can help both in aiding timelier diagnosis by recognising subtle deficits, but also in care management planning, whereby family and paid carers should only care for those sub-tasks that are most impaired and thus encourage remaining independent for longer
Distinguishing frontotemporal dementia from Alzheimer disease through everyday function profiles: Trajectories of change
Background: Different dementia syndromes display different patterns of everyday functioning. This article explored different patterns of functioning at baseline and trajectories of change in behavioral variant frontotemporal dementia (bvFTD) and Alzheimer disease (AD). Methods: Data from the Uniform Data Set of the National Alzheimer’s Coordinating Centre were employed. The Functional Assessment Questionnaire assessed functioning at up to 7 follow-up visits. Independent t tests assessed variations in functioning between syndromes at baseline. Linear mixed-effect modeling explored longitudinal functional trajectories between syndromes. Results: Data from 3351 patients (306 bvFTD and 3,045AD) were analyzed. At baseline, patients with bvFTD performed all daily activities poorer than AD dementia. Linear mixed models showed a significant effect of syndrome and time on functioning, and evidence of interaction between syndrome and time, with bvFTD showing a steeper decline for using the stove and travel. Conclusions: Findings can help in the effective care planning of everyday functioning for bvFTD and AD dementia
302 - The global impact of the COVID-19 pandemic on those living with and caring for someone with dementia
We are presenting four abstracts here for four inter-related talks into the global impact of the pandemic on dementia. Specifically, we will be presenting four talks from our international consortium (UK, India, Italy, Poland, Australia) highlighting how dementia has increased as a global public health concern during the pandemic with similar and different impacts across countries; the mental health impact on people with dementia and carers; the difficulties in using technology for social contact in dementia; as well as the impact on carers with relatives residing in institutional long-term care settings. Public involvement has been a key element of this study. The symposium will be hosted by Dr Clarissa Giebel, the PI of this international 5-country study, and talks will be presented by Dr Giebel, Marta Lenart, Dr Ilaria Chirico, and Dr Katarzyna Lion
Emerging roles of extracellular vesicle-associated non-coding RNAs in hypoxia: Insights from cancer, myocardial infarction and ischemic stroke
Hypoxia is a central pathophysiological component in cancer, myocardial infarction and ischemic stroke, which represent the most common medical conditions resulting in long-term disability and death. Recent evidence suggests common signaling pathways in these diverse settings mediated by non-coding RNAs (ncRNAs), which are packaged in extracellular vesicles (EVs) protecting ncRNAs from degradation. EVs are a heterogeneous group of lipid bilayer-covered vesicles released from virtually all cells, which have important roles in intercellular communication. Recent studies pointed out that ncRNAs including long non-coding RNAs (IncRNAs) and microRNAs (miRNAs) are selectively sorted into EVs, modulating specific aspects of cancer development, namely cell proliferation, migration, invasion, angiogenesis, immune tolerance or drug resistance, under conditions of hypoxia in recipient cells. In myocardial infarction and stroke, ncRNAs shuttled via EVs have been shown to control tissue survival and remodeling post-hypoxia by regulating cell injury, inflammatory responses, angiogenesis, neurogenesis or neuronal plasticity. This review discusses recent evidence on EV-associated ncRNAs in hypoxic cancer, myocardial infarction and stroke, discussing their cellular origin, biological function and disease significance. The emerging concept of IncRNA-circular RNA/ miRNA/ mRNA networks is outlined, upon which ncRNAs synergistically respond to hypoxia in order to modify disease responses. Particular notion is given to ncRNAs participating in at least two of the three conditions, which revealed a large degree of overlaps across pathophysiological conditions. Possible roles of EV-ncRNAs as therapeutic products or theranostic markers are defined
Hierarchical decline of the initiative and performance of complex activities of daily living in dementia
Objectives: While basic activities of daily living hierarchically decline in dementia, little is known about the decline of individual instrumental activities of daily living (IADLs). The objective of this study was to assess initiative and performance deficits in IADLs in dementia. Methods: A total of 581 carers completed the revised Interview for Deterioration in Daily Living Activities in Dementia 2 to rate their relative’s everyday functioning. Results: Initiating and performing IADLs deteriorated hierarchically, while people with dementia were consistently most impaired in initiating using the computer and managing finances. Initiating preparing a cold or hot meal and managing finances were more impaired than their performance, whereas performing maintaining an active social life for example were more impaired than their initiative. Conclusion: Findings can help identify the severity of dementia by understanding deficits in initiative and performance. This study has implications for the development of targeted interventions depending on the stage of dementia
QuantiMus: A Machine Learning-Based Approach for High Precision Analysis of Skeletal Muscle Morphology.
Skeletal muscle injury provokes a regenerative response, characterized by the de novo generation of myofibers that are distinguished by central nucleation and re-expression of developmentally restricted genes. In addition to these characteristics, myofiber cross-sectional area (CSA) is widely used to evaluate muscle hypertrophic and regenerative responses. Here, we introduce QuantiMus, a free software program that uses machine learning algorithms to quantify muscle morphology and molecular features with high precision and quick processing-time. The ability of QuantiMus to define and measure myofibers was compared to manual measurement or other automated software programs. QuantiMus rapidly and accurately defined total myofibers and measured CSA with comparable performance but quantified the CSA of centrally-nucleated fibers (CNFs) with greater precision compared to other software. It additionally quantified the fluorescence intensity of individual myofibers of human and mouse muscle, which was used to assess the distribution of myofiber type, based on the myosin heavy chain isoform that was expressed. Furthermore, analysis of entire quadriceps cross-sections of healthy and mdx mice showed that dystrophic muscle had an increased frequency of Evans blue dye+ injured myofibers. QuantiMus also revealed that the proportion of centrally nucleated, regenerating myofibers that express embryonic myosin heavy chain (eMyHC) or neural cell adhesion molecule (NCAM) were increased in dystrophic mice. Our findings reveal that QuantiMus has several advantages over existing software. The unique self-learning capacity of the machine learning algorithms provides superior accuracy and the ability to rapidly interrogate the complete muscle section. These qualities increase rigor and reproducibility by avoiding methods that rely on the sampling of representative areas of a section. This is of particular importance for the analysis of dystrophic muscle given the "patchy" distribution of muscle pathology. QuantiMus is an open source tool, allowing customization to meet investigator-specific needs and provides novel analytical approaches for quantifying muscle morphology
The newly revised interview for deteriorations in daily living activities in dementia (R-IDDD2): distinguishing initiative from performance at assessment
Background: Minimal evidence exists on the detailed deficits in complex instrumental activities of daily living (IADLs) in mild dementia. The aim of this study was twofold, to validate a revised questionnaire focusing measuring the initiative and performance of IADLs in mild dementia and to explore the relationship between individual IADLs and patient and carer well-being. Methods: A total of 183 carers of people with mild dementia completed a further modified Revised Interview for Deterioration in Daily Living Activities 2 (R-IDDD2), which comprised new activities such as computer use, as well as sub-activities on the performance scale. Carers also completed questionnaires assessing patient quality of life (QoL-AD), carer quality of life (AC-QoL), and burden (GHQ-12). Results: Persons with dementia were significantly poorer initiating than performing cleaning, doing repair work, and preparing a hot or cold meal, whereas being poorer at performing dressing and following current affairs. Using the computer, preparing a hot meal, finance, and medication management were most impaired, whereas more basic activities of dressing, washing oneself, brushing hair or teeth, and preparing a hot drink were most preserved. Poor initiative and performance on nearly all activities were significantly related to reduced carer and patient well-being. Conclusions: The R-IDDD2 offers a platform to comprehensively assess everyday functioning. Deteriorations in initiative and performance need to be targeted separately in interventions, as the former requires effective triggering and the latter structured training and support. Most activities were significantly associated with well-being, particularly patient quality of life so that improving any activity should improve well-being
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