PERCEPÇÃO DE SUPORTE SOCIAL E CONSUMO DE ÁLCOOL EM DESEMPREGADOS

O desemprego tem sido objeto de preocupação no contexto político, econômico e social, uma vez que a população de trabalhadores desempregados enfrenta dificuldades diárias para a obtenção de trabalho/ou emprego, situação que gera intenso sofrimento psíquico e pode repercutir de modo negativo na saúde do trabalhador. Este estudo teve por objetivo investigar a percepção de suporte social e o consumo de álcool em desempregados. Por meio de estudo epidemiológico, quantitativo e transversal constituímos uma amostra de 300 indivíduos, recrutados em uma agência pública em São Bernardo do Campo SP, que capta vagas no mercado e encaminha trabalhadores para recolocação profissional. A amostra resultou em 54,3% pessoas do gênero masculino, com idade média de 29,30, com mínimo de 18 anos e máximo de 56 anos; 67% tinham ensino médio, sendo 50% solteiros, 52% encontravam-se desempregados de um a seis meses, 37% residiam em imóvel próprio, e 37% possuíam renda familiar de um a dois salários mínimos. Foram utilizados três instrumentos auto-aplicáveis para coleta dos dados: a) Questionário de características sócio-demográficas; b) Escala de Percepção de Suporte Social (EPSS); c) Teste para Identificação de Problemas Relacionados ao Uso de Álcool (AUDIT). Os dados coletados foram submetidos ao programa estatístico SPSS, versão 15.0 para Windows que permitiu fazer as correlações entre as variáveis. Os resultados indicaram correlações significativas entre as variáveis: suporte prático e renda; suporte prático e suporte emocional, com idade. Estas correlações sugeriram que os sujeitos apresentavam melhor percepção de suporte prático na medida em que aumentava a renda familiar, e que quanto maior a idade, menor é a percepção do suporte prático e emocional recebido pela rede social. O AUDIT não apontou correlações significativas entre as variáveis estudadas, e 76% da amostra se situou na zona 1 consumo de baixo risco ou abstinência. Não verificamos correlação entre consumo de álcool e desemprego.(AU)

Spatial topography of the neurofibrillary tangles in cortical and subcortical regions in progressive supranuclear palsy

Objective: To study the topography of neurofibrillary tangles (NFT) in cortical and subcortical areas in progressive supranuclear palsy (PSP). Methods: Pattern analysis was carried out on tau-positive NFT in eight PSP cases. Results: Of the areas studied, NFT were randomly distributed in 68%, regularly distributed in 3%, and clustered in 29%. A regular distribution of clusters was more frequent in cortical than subcortical areas. Conclusion: NFT topography in subcortical areas was similar to inclusions in the synucleinopathy multiple system atrophy (MSA) but in cortical areas was comparable to other tauopathies. © 2006 Elsevier Ltd. All rights reserved.

Multiple system atrophy (MSA): Topographic distribution of the alpha-synuclein-associated pathological changes

To study the topographic distribution of the pathology in multiple system atrophy (MSA). Pattern analysis was carried out using a-synuclein immunohistochemistry in 10 MSA cases. The glial cytoplasmic inclusions (GCI) were distributed randomly or in large clusters. The neuronal inclusions (NI) and abnormal neurons were distributed in regular clusters. Clusters of the NI and abnormal neurons were spatially correlated whereas the GCI were not spatially correlated with either the NI or the abnormal neurons. The data suggest that the GCI represent the primary change in MSA and the neuronal pathology develops secondary to the glial pathology.

Detecting and monitoring the symptoms of Parkinson's disease using smartphones:a pilot study

Background: Remote, non-invasive and objective tests that can be used to support expert diagnosis for Parkinson's disease (PD) are lacking. Methods: Participants underwent baseline in-clinic assessments, including the Unified Parkinson's Disease Rating Scale (UPDRS), and were provided smartphones with an Android operating system that contained a smartphone application that assessed voice, posture, gait, finger tapping, and response time. Participants then took the smart phones home to perform the five tasks four times a day for a month. Once a week participants had a remote (telemedicine) visit with a Parkinson disease specialist in which a modified (excluding assessments of rigidity and balance) UPDRS performed. Using statistical analyses of the five tasks recorded using the smartphone from 10 individuals with PD and 10 controls, we sought to: (1) discriminate whether the participant had PD and (2) predict the modified motor portion of the UPDRS. Results: Twenty participants performed an average of 2.7 tests per day (68.9% adherence) for the study duration (average of 34.4 days) in a home and community setting. The analyses of the five tasks differed between those with Parkinson disease and those without. In discriminating participants with PD from controls, the mean sensitivity was 96.2% (SD 2%) and mean specificity was 96.9% (SD 1.9%). The mean error in predicting the modified motor component of the UPDRS (range 11-34) was 1.26 UPDRS points (SD 0.16). Conclusion: Measuring PD symptoms via a smartphone is feasible and has potential value as a diagnostic support tool.

A randomized trial of specialized versus standard neck physiotherapy in cervical dystonia

We thank: the patients who took part; Monsieur John-Pierre Bleton for training the physiotherapists; Gladys McPherson (Senior IT Manager), Adesoji Adeyemi (programmer) and Diana Collins (data entry) from the Centre for Healthcare Randomised Trials, University of Aberdeen who provided the randomisation and database service; and the funders including The Dystonia Society, the RS Macdonald Charitable Trust, The Sir Halley Stewart Trust, The Foyle Foundation and The Garfield Weston Foundation. The Dystonia Society and other funders had no role in the design, conduct, analysis or writing of the report or the decision to submit the manuscript.

Longitudinal diffusion tensor imaging in dementia with Lewy bodies and Alzheimer's disease

Copyright © 2016 Elsevier Ltd. All rights reserved. Acknowledgements The study was supported by the NIHR Biomedical Research Unit in Dementia and the Biomedical Research Centre awarded to Cambridge University Hospitals NHS Foundation Trust and the University of Cambridge, and the NIHR Biomedical Research Unit in Dementia and the Biomedical Research Centre awarded to Newcastle upon Tyne Hospitals NHS Foundation Trust and Newcastle University. Elijah Mak was in receipt of a Gates Cambridge PhD studentship.

Risk of fracture amongst patients with Parkinson's disease and other forms of parkinsonism

Acknowledgements We thank all the participants who took part, the research fellows (Kate Taylor, Robert Caslake, David McGhee, Angus Macleod) and nurses (Clare Harris, Joanna Gordon, Anne Hayman, Hazel Forbes) who helped assess the participants, and the study secretaries (Susan Kilpatrick, Pam Rebecca) and data management team (Katie Wilde, David Ritchie). The PINE study was funded by the BMA Doris Hillier award, Parkinson's UK, the RS McDonald Trust, NHS Grampian Endowments, SPRING and the BUPA Foundation. None of the funders had any influence in the study design, the collection, analysis and interpretation of the data, the writing of the report or the decision to submit the article for publication.