Desempregados de longa duração e processos de desfiliação: população dos 35 aos 55 anos, no concelho de Portalegre

A dissertação aborda o desemprego, no concelho de Portalegre, na faixa etária dos 35 aos 55 anos. O aumento do desemprego é uma realidade que tem gerado movimentos sociais, como os protestos e as greves. A proposta da dissertação foi explorar o fenómeno sob a perspectiva de Erikson e de Castel, compreendendo a trajetória profissional dos indivíduos em questão. Além disso, procurou-se perceber como as transformações no mundo do trabalho, influenciam o processo de desvinculação com a identidade profissional. A pesquisa, de caráter qualitativo, utilizou entrevistas semi-dirigidas e as histórias de vida, sendo colhidos sete depoimentos de desempregados de longa duração, provenientes deste flagelo. Da análise de conteúdo foram levantadas diferentes categorias para tratamento de dados, como a contextualização profissional, o posicionamento face à situação de desemprego e por ultimo a análise identitária. Os resultados mostram que a situação de desemprego pode efetivamente ditar traços de desfiliação na identidade dos desempregados, idênticas às verificadas na literatura utilizada. Os entrevistados recorrem frequentemente a formas de coping, usando a “focalização ativa”, centrando-se na resolução dos seus problemas, mantendo uma postura ativa, mesmo em situação de descrença, sendo a postura mais eficaz para a procura de emprego. Finalizamos esta investigação com algumas sugestões de pesquisa futuras, deixando também um projeto de intervenção psicológico, fazendo sugestões de técnicas de procura de emprego, de inserção social e de técnicas de trabalho de autoestima, de autoimagem e de autoconceito.

Retrospective study on structural neuroimaging in first-episode psychosis

Background. No consensus between guidelines exists regarding neuroimaging in firstepisode psychosis. The purpose of this study is to assess anomalies found in structural neuroimaging exams (brain computed tomography (CT) and magnetic resonance imaging (MRI)) in the initial medical work-up of patients presenting first-episode psychosis. Methods. The study subjects were 32 patients aged 18–48 years (mean age: 29.6 years), consecutively admitted with first-episode psychosis diagnosis. Socio-demographic and clinical data and neuroimaging exams (CT and MRI) were retrospectively studied. Diagnostic assessments were made using the Operational Criteria Checklist +. Neuroimaging images (CT and MRI) and respective reports were analysed by an experienced consultant psychiatrist. Results. None of the patients had abnormalities in neuroimaging exams responsible for psychotic symptoms. Thirty-seven percent of patients had incidental brain findings not causally related to the psychosis (brain atrophy, arachnoid cyst, asymmetric lateral ventricles, dilated lateral ventricles, plagiocephaly and falx cerebri calcification). No further medical referral was needed for any of these patients. No significant differences regarding gender, age, diagnosis, duration of untreated psychosis, in-stay and cannabis use were found between patients who had neuroimaging abnormalities versus those without. Discussion. This study suggests that structural neuroimaging exams reveal scarce abnormalities in young patients with first-episode psychosis. Structural neuroimaging is especially useful in first-episode psychosis patients with neurological symptoms, atypical clinical picture and old age.

Monitoring influenza vaccine effectiveness using the national influenza surveillance system

Background: Flu vaccine composition is reformulated on a yearly basis. As such, the vaccine effectiveness (VE) from previous seasons cannot be considered for subsequent years, and it is necessary to monitor the VE for each season. This study (MonitorEVA- monitoring vaccine effectiveness) intends to evaluate the feasibility of using the national influenza surveillance system (NISS) for monitoring the influenza VE. Material and methods: Data was collected within NISS during 2004 to 2014 seasons. We used a case-control design where laboratory confirmed incident influenza like illness (ILI) patients (cases) were compared to controls (ILI influenza negative). Eligible individuals consisted on all aged individuals that consult a general practitioner or emergency room with ILI symptoms with a swab collected within seven days of symptoms onset. VE was estimated as 1- odds ratio of being vaccinated in cases versus controls adjusted for age and month of onset by logistic regression. Sensitivity analyses were conducted to test possible effect of assumptions on vaccination status, ILI definition and timing of swabs (<3 days after onset). Results: During the 2004-2014 period, a total of 5302 ILI patients were collected but 798 ILI were excluded for not complying with inclusion criteria. After data restriction the sample size in both groups was higher than 148 individuals/ season; minimum sample size needed to detect a VE of at least 50% considering a level of significance of 5% and 80% power. Crude VE point estimates were under 45% in 2004/05, 2005/06, 2011/12 and 2013/14 season; between 50%-70% in 2006/07, 2008/09 and 2010/11 seasons, and above 70% in 2007/08 and 2012/13 season. From season 2006/07 to 2013/14, all crude VE estimates were statistically significant. After adjustment for age group and month of onset, the VE point estimates decreased and only 2008/09, 2012/13 and 2013/14 seasons were significant. Discussion and Conclusions: MonitorEVA was able to provide VE estimates for all seasons, including the pandemic, indicating if the VE was higher than 70% and less than 50%. When comparing with other observational studies, MonitorEVA estimates were comparable but less precise and VE estimates were in accordance with the antigenic match of the circulating virus/ vaccine strains. Given the sensitivity results, we propose a MonitorEVA based on: a) Vaccination status defined independently of number of days between vaccination and symptoms onset; b) use of all ILI data independent of the definition; c) stratification of VE according to time between onset and swab (< 3 and ≥3 days).