824 resultados para learning disabilities, coping, resilience, support, psychosocial


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Cancer patients increasingly request alternative therapies such as imagery techniques and support groups. Although research suggests evidence of enhanced psychosocial functioning with supportive group therapy and enhanced immune function with imagery techniques, studies are anecdotal or limited to case studies or descriptive reports. The efficacy of these alternative therapies should be validated by randomized, controlled trials and the mechanisms of action mediating immune function and outcome examined.^ In a 12-month pilot study, we evaluate the feasibility of conducting a controlled study with clinical trial methodology to test the effects of imagery/relaxation and support on quality of life, emotional well-being, and immune function for women after breast cancer. Using a randomized pre-post test design with three intervention waves, we assigned women (n = 47) to either standard care (n = 15), standard care plus 6-weekly support sessions (n = 16) or imagery/relaxation sessions (n = 16).^ The primary aim of this pilot study is to determine the feasibility of conducting a clinical trial of alternative therapies in a clinical care setting. Secondary aims are to determine parameter estimates for the effects of the two treatment groups on quality of life, coping, social support, and immune function and describe methodology issues related to trials of alternative therapies.^ The research provides direction for future studies of alternative therapies by describing the recruitment, clinical trial experience, and related methodology issues. The study extends previous work by differentiating the effects of support group from mental imagery among outpatient groups who are homogeneous regarding cancer type and treatment stage. The study provides data for future longitudinal studies of disease progression by differentiating the effectiveness of interventions designed to enhance quality of life, coping, social support, and immune function and subsequently, alter the clinical course of disease. ^

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Attitudes toward the sexuality of adults with intellectual disability were assessed in parents and carers of adults with intellectual disability and in a community sample. An instrument that contained items relating to eight aspects of sexuality (sexual feelings, sex education, masturbation, personal relationships, sexual intercourse, sterilisation, marriage, and parenthood) was developed and found to have good internal consistency and test-retest reliability. Age was associated with attitudes, with those aged 60 and above holding more conservative attitudes. Parents and staff differed in their attitudes, with parents holding more conservative attitudes. This difference was the product of age differences between the groups; nevertheless it may produce some confusion for adults with intellectual disability unless it is addressed appropriately. Both parent and staff groups were less positive about parenthood than about other aspects of sexuality, however the community group did not differ in their views when attitudes towards parenthood were compared with the remaining items Of the scale.

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Objective: To investigate the psychosocial impact of young caregiving by empirically validating prominent qualitative themes.. This was achieved through developing an inventory called the Young Caregiver of Parents Inventory (YCOPI) designed to assess these themes and by comparing young caregivers and noncaregivers. Method: Two hundred forty-five participants between 10 and 25 years completed questionnaires: 100 young caregivers and 145 noncaregivers. In addition to the YCOPI, the following variables were measured: demographics, caregiving context, social support, appraisal, coping strategies, and adjustment (health, life satisfaction, distress, positive affect). Results: Eight reliable factors emerged from the YCOPI that described the diverse impacts of caregiving and reflected the key themes reported in prior research. The factors were related to most caregiving context variables and theoretically relevant stress and coping variables. Compared with noncaregivers, young caregivers reported higher levels of young caregiving impact, less reliance on problem-solving coping, and higher somatization and lower life satisfaction. Conclusions: Findings delineate key impacts of young caregiving and highlight the importance of ensuring that measures used in research on young caregivers are sensitive to issues pertinent to this population.

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Introduction: It is complex to define learning disabilities, there is no single universal definition used; there are different interpretations and definitions used for learning disabilities in different countries and communities. Primarily, the term “learning disability” sometimes used as “learning difficulties” is a term widely used in UK. There are various types and degree of severity of learning disabilities depending upon the extent of disorder. Though different definitions used all over the world, its types and classification coupled with their health and oral health needs are discussed in this review. Objectives:  To review the background literature on definitions of learning disabilities and health needs of this population.  To review literature on individual clinical preventive intervention to determine the effectiveness in promoting oral health amongst adults in learning disabilities.  To review literature in relation to community based preventive dental measures.  To determine the interventions in this areas are appropriate to support policy and practice and if these interventions establish good evidence to suggest that the oral health needs of adults with learning disabilities are met or not.  To make recommendations in implementing future preventive oral health interventions for adults with learning disabilities. Methodology: It was develop a comprehensive narrative synthesis of previously published literature from different sources and summarizes the whole research in a particular area identifying gap of knowledge. It provides a broad perspective of a subject and supports continuing education. It also is directed to inform policy and further research. It is a qualitative type of research with a broad question and critical analysis of literature published in books, article and journals. The research question evaluated on PICOS criteria is: Effectiveness of preventive dental interventions in adults with learning disabilities. The research question clearly defines the PICOS i.e. participants, interventions, comparison, outcome and study design. The Cochrane database of systematic reviews (CDSR), Database of Abstracts of Reviews of effects (DARE) through York University and National institute of Health and Clinical Excellence (NICE) was searched to identify need of this review. There was no literature review found on the preventive dental interventions found hence, justifying this review. The guidance used in this review is from York University and methods opted for search of literature is based on the following: Type of participants, interventions, outcome measure, studies and search. The review of literature; author search; systematic and narrative reviews, through the following electronic databases via UFP library services: Pub-Med, Medline, EMBASE, CINHAL, Google scholar; Science Direct; Social and Medicine. A comprehensive search of all available literature from 1990-2015, including systematic reviews, policy documents and some guideline documents was done. Internet resource used to access; Department of Health, World Health Organization, Disability World, Disability Rights Commission, the Stationery office, MENCAP, Australian Learning Disability Association. The literature search was carried out with single word, combined words and phrases, authors' names and the title of literature search. Results: It is primarily looking at the oral health interventions available for adults with learning disabilities in clinical settings and the community measures observed over a period of 25 years 1990-2015. There were 7of the clinical intervention studies and one community based intervention study was added in this review. Conclusion: There is a gap of knowledge identified in not having ample research in the area of preventive dental interventions in adults with learning or intellectual disabilities and there is a need of more research, studies need to be of a better quality and a special consideration is required in the community settings where maintenance of oral hygiene for this vulnerable group of society is hugely dependent on their caregivers. Though, the policy and guideline directs on the preventive dental interventions of adults with LD there still a gap evident in understanding and implication of the guidance in practice by the dental and care support team. Understanding learning disabilities and to identify their behavior, compliance and oral health needs is paramount for all professionals working with or for them at each level.

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Action-Emotion Style (AES) is an affective-motivational construct that describes the achievement motivation that is characteristic of students in their interaction with stressful situations. Using elements from the Type-A Behavior Pattern (TABP), characteristics of competitiveness and overwork occur in different combinations with emotions of impatience and hostility, leading to a classification containing five categories of action-emotion style (Type B, Impatient-hostile type, Medium type, Competitive-Overworking type and Type A). The objective of the present research is to establish how characteristics of action-emotion style relate to learning approach (deep and surface approaches) and to coping strategies (emotion-focused and problem-focused). The sample was composed of 225 students from the Psychology degree program. Pearson correlation analyses, ANOVAs and MANOVAs were used. Results showed that competitiveness-overwork characteristics have a significant positive association with the deep approach and with problem-focused strategies, while impatience-hostility is thus related to surface approach and emotion-focused strategies. The level of action-emotion style had a significant main effect. The results verified our hypotheses with reference to the relationships between action-emotion style, learning approaches and coping strategies.

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Despite the rhetoric that students with learning difficulties are adequately supported within schools, the evidence suggests that they continue to experience school failure with devastating consequences. Students with learning difficulties are disproportionately represented as juvenile delinquents, as the unemployed and in mental health statistics. However, the defining of this group remains confused and imprecise and has not been a national priority. This has repercussions for both secondary schools and for the students themselves. This paper highlights research related to teaching practices, policies and school structure and their effects on the academic outcomes and emotional well being of students with learning difficulties. Finally, it makes a number of recommendations to change the status quo for these students.

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Students who are refugees need understanding and support to settle successfully into mainstream Australian classrooms. Teachers not aware of students’ prior learning and the process of second language acquisition may have difficulty providing the most appropriate learning environments to meet these students’ needs. This study found that, with no coordination of information on students’ learning backgrounds nor of their learning needs and development, students were in danger of being identified as at-risk of having a learning disability, with little support to substantiate such claims.

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Peer outreach is an emerging form of non-professional consumer-delivered service in the context of psychiatric rehabilitation. This study identified the benefits and challenges of outreach provision as identified by a group of volunteer outreach workers. One on one semi-structured interviews were carried out with twelve members trained as peer outreach volunteers. Interview transcripts were analysed using a consensual qualitative research approach. Outreach workers typically experienced peer outreach as a positive experience both for themselves and for the recipients. Most found the training and support provided to be appropriate and sufficient. Nonetheless, peer outreach workers did encounter difficulties and sometimes felt need for more training and support. The findings have implications for the development of future peer outreach programs. There is scope for enhanced training and/or supervision and a need for further research to investigate ways to optimise peer outreach.

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According to social constructivists, learners are active participants in constructing new knowledge in a social process where they interact with others. In these social settings teachers or more knowledgeable peers provide support. This research study investigated the contribution that an online synchronous tutorial makes to support teaching and learning of undergraduate introductory statistics offered by an Australian regional university at a distance. The introductory statistics course which served as a research setting in this study was a requirement of a variety of programs at the University, including psychology, business and science. Often students in these programs perceive this course to be difficult and irrelevant to their programs of study. Negative attitudes and associated anxiety mean that students often struggle with the content. While asynchronous discussion forums have been shown to provide a level of interaction and support, it was anticipated that online synchronous tutorials would offer immediate feedback to move students forward through ―stuck places.‖ At the beginning of the semester the researcher offered distance students in this course the opportunity to participate in a weekly online synchronous tutorial which was an addition to the usual support offered by the teaching team. This tutorial was restricted to 12 volunteers to allow sufficient interaction to occur for each of the participants. The researcher, as participant-observer, conducted the weekly tutorials using the University's interactive online learning platform, Wimba Classroom, whereby participants interacted using audio, text chat and a virtual whiteboard. Prior to the start of semester, participants were surveyed about their previous mathematical experiences, their perceptions of the introductory statistics course and why they wanted to participate in the online tutorial. During the semester, they were regularly asked pertinent research questions related to their personal outcomes from the tutorial sessions. These sessions were recorded using screen capture software and the participants were interviewed about their experiences at the end of the semester. Analysis of these data indicated that the perceived value of online synchronous tutorial lies in the interaction with fellow students and a content expert and with the immediacy of feedback given. The collaborative learning environment offered the support required to maintain motivation, enhance confidence and develop problemsolving skills in these distance students of introductory statistics. Based on these findings a model of online synchronous learning is proposed.

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Brain decoding of functional Magnetic Resonance Imaging data is a pattern analysis task that links brain activity patterns to the experimental conditions. Classifiers predict the neural states from the spatial and temporal pattern of brain activity extracted from multiple voxels in the functional images in a certain period of time. The prediction results offer insight into the nature of neural representations and cognitive mechanisms and the classification accuracy determines our confidence in understanding the relationship between brain activity and stimuli. In this paper, we compared the efficacy of three machine learning algorithms: neural network, support vector machines, and conditional random field to decode the visual stimuli or neural cognitive states from functional Magnetic Resonance data. Leave-one-out cross validation was performed to quantify the generalization accuracy of each algorithm on unseen data. The results indicated support vector machine and conditional random field have comparable performance and the potential of the latter is worthy of further investigation.

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Purpose – The support given to prisoners when they leave prison has a bearing on their success in starting a new life and on community safety. This paper aims to examine the community re-entry experiences of ten people with an intellectual disability in Queensland, Australia. Design/methodology/approach – The findings in this paper are part of a wider study on the life stories of ex-prisoners with an intellectual disability. Seven male and three female participants with intellectual disability were interviewed using a semi-structured life story method. Interviews were respectful of the communication styles of participants and involved multiple interview sessions, ranging from two to nine interviews per person. Data were analysed using narrative and thematic analysis with the assistance of NVivo 8 software. Findings – Participants found the process of leaving prison an emotional event, often clouded with both confusion about when release was to occur, and uncertainly as to what they could expect on the outside. The need for concrete information and coordinated hands-on assistance in negotiating supports in the community have significant implications for correctional and community services. Originality/value – This study captures the perspectives of people with intellectual disability on community re-entry. These perspectives are often overlooked in policy and practice developments in the field of corrections. Yet without understanding this group, the field is unable to address their particular needs.

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Post-traumatic stress disorder (PTSD) is a debilitating psychiatric disorder that has a major impact on the ability to function effectively in daily life. PTSD may develop as a response to exposure to an event or events perceived as potentially harmful or life-threatening. It has high prevalence rates in the community, especially among vulnerable groups such as military personnel or those in emergency services. Despite extensive research in this field, the underlying mechanisms of the disorder remain largely unknown. The identification of risk factors for PTSD has posed a particular challenge as there can be delays in onset of the disorder, and most people who are exposed to traumatic events will not meet diagnostic criteria for PTSD. With the advent of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM V), the classification for PTSD has changed from an anxiety disorder into the category of stress- and trauma-related disorders. This has the potential to refocus PTSD research on the nature of stress and the stress response relationship. This review focuses on some of the important findings from psychological and biological research based on early models of stress and resilience. Improving our understanding of PTSD by investigating both genetic and psychological risk and coping factors that influence stress response, as well as their interaction, may provide a basis for more effective and earlier intervention.

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This study describes two machine learning techniques applied to predict liquefaction susceptibility of soil based on the standard penetration test (SPT) data from the 1999 Chi-Chi, Taiwan earthquake. The first machine learning technique which uses Artificial Neural Network (ANN) based on multi-layer perceptions (MLP) that are trained with Levenberg-Marquardt backpropagation algorithm. The second machine learning technique uses the Support Vector machine (SVM) that is firmly based on the theory of statistical learning theory, uses classification technique. ANN and SVM have been developed to predict liquefaction susceptibility using corrected SPT (N-1)(60)] and cyclic stress ratio (CSR). Further, an attempt has been made to simplify the models, requiring only the two parameters (N-1)(60) and peck ground acceleration (a(max)/g)], for the prediction of liquefaction susceptibility. The developed ANN and SVM models have also been applied to different case histories available globally. The paper also highlights the capability of the SVM over the ANN models.

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Models of river flow time series are essential in efficient management of a river basin. It helps policy makers in developing efficient water utilization strategies to maximize the utility of scarce water resource. Time series analysis has been used extensively for modeling river flow data. The use of machine learning techniques such as support-vector regression and neural network models is gaining increasing popularity. In this paper we compare the performance of these techniques by applying it to a long-term time-series data of the inflows into the Krishnaraja Sagar reservoir (KRS) from three tributaries of the river Cauvery. In this study flow data over a period of 30 years from three different observation points established in upper Cauvery river sub-basin is analyzed to estimate their contribution to KRS. Specifically, ANN model uses a multi-layer feed forward network trained with a back-propagation algorithm and support vector regression with epsilon intensive-loss function is used. Auto-regressive moving average models are also applied to the same data. The performance of different techniques is compared using performance metrics such as root mean squared error (RMSE), correlation, normalized root mean squared error (NRMSE) and Nash-Sutcliffe Efficiency (NSE).

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Em todo o mundo se multiplicam centros de pesquisa, conferências, cursos, projetos de extensão, livros e revistas focados na interseção entre Neurociências e Educação. Em comum, estas iniciativas compartilham da crença de que os achados neurocientíficos podem contribuir para o aperfeiçoamento do processo educacional. Isto ocorreria de duas maneiras:fornecendo uma melhor compreensão da maneira como as pessoas aprendem e com isso,colaborando com a criação de políticas e práticas educacionais mais eficazes e; contribuindo com o entendimento das dificuldades ou transtornos de aprendizagem, de forma a fornecer subsídios para o desenvolvimento de abordagens e tratamentos mais efetivos para tais problemas. A neuroeducação, disciplina de interface entre os campos neurocientifico e educacional, compartilha dessa crença. Criada entre o final do século XX e o início do Século XXI, esta disciplina, por vezes chamada de Mente, Cérebro e Educação ou Ciência do Aprendizado, pretende simultaneamente construir um conhecimento sobre o aprendizado e desenvolver práticas pedagógicas. No presente trabalho pretendemos compreender especificamente como ocorre esta aproximação entre os campos neurocientífico e educacional no Brasil. Para tanto realizamos uma análise de diversos materiais (artigos, livros,revistas, vídeos) produzidos sobre o tema por neurocientistas, educadores e também por neuroeducadores, nova categoria profissional proposta pelo Instituto de Pesquisas em Neuroeducação. Constatamos que a neuroeducação vem se constituindo no país enquanto um campo extremamente multifacetado permeado por diversos discursos e práticas assim como por múltiplas versões do cérebro humano.