3 resultados para community singing group

em Research Open Access Repository of the University of East London.


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Background The practice of reading and discussing literature in groups is long established, stretching back into classical antiquity (Fischer, 2004). While benefits of therapeutic reading groups have been highlighted, research into participants’ perceptions of these groups has been limited (Walwyn & Rowley, 2011). Aims To explore the experiences of those attending therapeutic reading groups, considering the role of both the group, and the literature itself, in participants’ ongoing experiences of distress. Method Eleven participants were recruited from two reading groups in the South East of England. One focus group was run, and eight individuals self selected for individual interviews. The data were analysed together using a thematic analysis drawing on dialogical theories. Results Participants described the group as an anchor, which enabled them to use fiction to facilitate the discussion of difficult emotional topics, without referring directly to personal experience. Two aspects of this process are explored in detail: the use of narratives as transportation, helping to mitigate the intensity of distress; and using fiction to explore possibilities, alternative selves and lives. Conclusions For those who are interested and able, reading groups offer a relatively de-stigmatised route to exploring and mediating experiences of distress. Implications in the present UK funding environment are discussed.

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Background At present, we do not have any biological tests which can contribute towards a diagnosis of depression. Neuroimaging measures have shown some potential as biomarkers for diagnosis. However, participants have generally been from the same ethnic background while the applicability of a biomarker would require replication in individuals of diverse ethnicities. Aims We sought to examine the diagnostic potential of the structural neuroanatomy of depression in a sample of a wide ethnic diversity. Method Structural magnetic resonance imaging (MRI) scans were obtained from 23 patients with major depressive disorder in an acute depressive episode (mean age: 39.8 years) and 20 matched healthy volunteers (mean age: 38.8 years). Participants were of Asian, African and Caucasian ethnicity recruited from the general community. Results Structural neuroanatomy combining white and grey matter distinguished patients from controls at the highest accuracy of 81% with the most stable pattern being at around 70%. A widespread network encompassing frontal, parietal, occipital and cerebellar regions contributed towards diagnostic classification. Conclusions These findings provide an important step in the development of potential neuroimaging-based tools for diagnosis as they demonstrate that the identification of depression is feasible within a multi-ethnic group from the community. Declaration of interests C.H.Y.F. has held recent research grants from Eli Lilly and Company and GlaxoSmithKline. L.M. is a former employee and stockholder of Eli Lilly and Company.

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Land-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises.