Epidemiologia da insónia em adolescentes : do diagnóstico de situação à intervenção

RESUMO - Introdução: Os problemas do sono, designadamente a insónia, os sintomas de insónia, os padrões de sono inadequados e a sonolência diurna, são frequentes na adolescência. Estes problemas estão frequentemente associados a múltiplos fatores, entre os quais estilos de vida e fatores ambientais, e apresentam consequências significativas na vida do adolescente e posteriormente na idade adulta. O sono e as suas perturbações deveriam constituir uma preocupação para os profissionais da saúde e da educação com o objetivo de tornar os hábitos de sono saudáveis num estilo de vida - com benefícios calculáveis como os associados a outros estilos de vida saudáveis (alimentação e exercício físico). Em Portugal, os estudos sobre problemas do sono em adolescentes são escassos, bem como as intervenções individuais e comunitárias no âmbito da higiene do sono. Os objetivos desta investigação foram estimar a prevalência de insónia e de sintomas de insónia em adolescentes, identificar fatores de risco e protetores dos sintomas de insónia, analisar as repercussões dos sintomas de insónia, caracterizar os padrões de sono dos adolescentes do distrito de Viseu e elaborar uma proposta de intervenção destinada à promoção da higiene do sono adaptada às características dos adolescentes do distrito de Viseu. Métodos: Realizou-se um estudo transversal onde se avaliaram alunos de vinte e seis escolas públicas do terceiro ciclo e secundário do distrito de Viseu, durante ano letivo 2011/2012. A recolha dos dados foi efetuada através de um questionário autoaplicado e respondido pelos alunos em sala de aula. Foram considerados elegíveis para participar no estudo todos os alunos que frequentassem entre o 7.º e o 12.º ano de escolaridade e tivessem idades entre os 12 e os 18 anos. Dos 9237 questionários distribuídos recolheu-se 7581 (82,1%). Foram excluídos da análise os questionários relativos a adolescentes com idade inferior a 12 ou superior a 18 anos e os questionários devolvidos por preencher. A amostra global foi constituída por 6919 adolescentes, sendo 3668 (53,2%) do sexo feminino. A insónia foi definida com base na presença, no mês prévio, dos sintomas de insónia definidos nos critérios do DSM-IV (dificuldade em adormecer, dificuldade em manter o sono, acordar muito cedo e ter dificuldade em voltar a adormecer e sono não reparador) com uma frequência de pelo menos três vezes por semana e associados a consequências no dia-a-dia. A qualidade de vida foi avaliada com recurso à escala de qualidade de vida SF-36; a sintomatologia depressiva através do Inventário de Depressão de Beck para adolescentes (BDI-II) e a sonolência diurna utilizando a Escala de Sonolência de Epworth (ESE). Para responder ao último objetivo foi elaborada uma proposta de intervenção individual e comunitária no âmbito da higiene do sono. A proposta resulta da evidência científica, dos resultados da presente investigação e de reuniões com profissionais da saúde e da educação. Resultados: No total da amostra, a prevalência de insónia foi de 8,3% e de sintomas de insónia foi de 21,4%. A prevalência de insónia foi superior no sexo feminino (10,1% vs. 5,9%; p<0,001) assim como a prevalência de sintomas de insónia (25,6% vs. 15,8%; p<0,001). Individualmente, todos os sintomas foram mais prevalentes no sexo feminino, sendo a diferença estatisticamente significativa (p<0,001). Em média os adolescentes dormiam, durante a semana, 8:04±1:13 horas. A prevalência de sono insuficiente (< 8 horas) foi de 29%. Apenas 6,4% dos adolescentes indicaram que se deitavam todas as noites à mesma hora. A prevalência de sintomatologia depressiva foi de 20,9% (26,0% nas raparigas e 15,1% nos rapazes, p<0,001). A prevalência de sonolência diurna foi de 33,1%, apresentando o sexo feminino um risco superior (OR=1,40; IC95%: 1,27-1,55). A prevalência de sintomatologia depressiva e de sonolência diurna foi superior entre os adolescentes com sintomas de insónia (48,2% vs. 18,8%, p<0,001 e 42,4% vs. 33,0%, p<0,001, respetivamente). Os adolescentes com sintomas de insónia apresentavam igualmente pior qualidade de vida. Em relação a outras repercussões no dia-a-dia, foram os adolescentes com sintomas de insónia que referiam mais vezes sentir dificuldade em levantar-se de manhã, acordar com cefaleias, acordar cansado e recorrer a medicação para dormir. Nos rapazes os sintomas de insónia associaram-se com o IMC. Após o ajustamento para o sexo e idade com recurso à regressão logística verificou-se uma associação entre sintomas de insónia e sexo feminino [OR ajustado(idade)= 1,82; IC95%: 1,56-2,13], idade ≥16 anos [OR ajustado(sexo)= 1,17; IC95%: 1,01-1,35], residência urbana (OR ajustado= 1,30; IC95%: 1,04-1,63), consumo de café (OR ajustado= 1,40; IC95%: 1,20-1,63), consumo de bebidas alcoólicas (OR ajustado= 1,21; IC95%: 1,03-1,41) e sintomatologia depressiva (OR ajustado= 3,59; IC95%: 3,04-4,24). Quanto à escolaridade dos pais, verificou-se uma redução do risco com o aumento da escolaridade dos pais (5º-6º ano OR ajustado= 0,82; IC95%: 0,64- 1,05; 7º-12º ano OR ajustado= 0,77; IC95%: 0,61-0,97; >12º ano OR ajustado= 0,64; IC95%: 0,47-0,87). Após uma análise multivariada, o modelo preditivo para a ocorrência de sintomas de insónia incluiu as variáveis sexo feminino, viver em meio urbano, consumir café e apresentar sintomatologia depressiva. Este modelo apresenta uma especificidade de 84,2% e uma sensibilidade de 63,6%. O sono insuficiente associou-se, após ajuste para o sexo e idade, com o ano de escolaridade, estado civil dos pais, determinados estilos de vida (consumo de café, tabagismo, consumo de álcool, consumo de outras drogas, sair à noite, presença de TV no quarto e número de horas despendido a ver televisão e no computador), latência do sono, sesta > 30 minutos, horários de sono irregulares e com a toma de medicamentos para dormir. Os resultados deste estudo constituem um diagnóstico de situação relativamente aos problemas de sono em adolescentes no distrito de Viseu. Tendo por base os princípios da Carta de Ottawa relativamente à promoção da saúde, a proposta elaborada visa a implementação de estratégias de prevenção agrupadas em intervenções individuais, comunitárias e sobre os planos curriculares. As intervenções baseiam-se na utilização das tecnologias da informação e comunicação, no contexto da nova arquitetura na esfera pública da saúde conducente aos sistemas personalizados de informação em saúde (SPIS). Conclusões: Registou-se uma elevada prevalência de insónia e sintomas de insónia entre os adolescentes do distrito de Viseu, superior no sexo feminino. A presença de sintomas de insónia esteve associada, sobretudo, a determinados estilos de vida e à ausência de higiene do sono. Os problemas de sono em adolescentes, devido à sua frequência e repercussões, devem constituir uma preocupação em termos de saúde pública e constituir uma prioridade nas estratégias de educação para a saúde. Os 9 princípios da intervenção delineada visam uma abordagem preventiva de problemas de sono - através da ação conjunta de profissionais da saúde e da educação, de elementos da comunidade e com o indispensável envolvimento dos adolescentes e da família -, procurando instituir os hábitos de sono saudáveis como um estilo de vida.

The Impact of income support programs on transitions to employment

The income support programs are created with the purpose of fighting both, the poverty trap and the inactivity trap. The balance between both is fragile and hard to find. Thus, the goal of this work is to contribute to solve this issue by finding how income support programs, particularly the Portuguese RSI, affect transitions to employment. This is made through duration analysis, namely using Cox and Competing Risks models. A particular feature is introduced in this work as it incorporates the possibility of Defective Risks. The estimated hazard elasticity with respect to the amount of RSI received for individuals who move to employment is -0,41. More than a half of RSI receivers stays for more than a year and the probability of never leaving to employment is 44%. The results appear to indicate that RSI has affected negatively transitions to employment.

How to promote healthy eating habits in children

Childhood’s overweight and obesity are a worrying issue in the world nowadays. The purpose of this study was to provide contributions to the promotion of healthy food by analyzing the impact of physical activity, parents’ influence and home meals frequency on children’s food choices. Structured questionnaires were used and were answered by 172 children between 10 and 14 years old and by their respective parents. Children and parents preferred healthy food vs. non-healthy food presenting the children’s healthy food choices a mean of 4.26 and the parent’s healthy food choices a mean of 4.47 in a scale ranging from 0 to 6. Our results also show that physical activity, parent’s education and home meals frequency did not have an impact on children’s food choices, contrasting to the sedentary behavior and parents’ choices which had a negative and positive correlation, respectively, with children’s food choices. Taking these results into account and using them to advise parents and companies, we underline that parents must guarantee an adequate children’s nutrition after doing physical efforts and control the time children watch TV and play computer games and companies may create marketing campaigns and educational programs in order to promote healthy food, improve children’s eating habits and reduce the childhood obesity prevalence.

Hand gesture recognition for human computer interaction : a comparative study of different image features

Hand gesture recognition for human computer interaction, being a natural way of human computer interaction, is an area of active research in computer vision and machine learning. This is an area with many different possible applications, giving users a simpler and more natural way to communicate with robots/systems interfaces, without the need for extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them to convey information or for device control. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. In this study we try to identify hand features that, isolated, respond better in various situations in human-computer interaction. The extracted features are used to train a set of classifiers with the help of RapidMiner in order to find the best learner. A dataset with our own gesture vocabulary consisted of 10 gestures, recorded from 20 users was created for later processing. Experimental results show that the radial signature and the centroid distance are the features that when used separately obtain better results, with an accuracy of 91% and 90,1% respectively obtained with a Neural Network classifier. These to methods have also the advantage of being simple in terms of computational complexity, which make them good candidates for real-time hand gesture recognition.

Hand gesture recognition system based in computer vision and machine learning

"Lecture notes in computational vision and biomechanics series, ISSN 2212-9391, vol. 19"

Generic system for human-computer gesture interaction: applications on sign language recognition and robotic soccer refereeing

Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for human-computer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of visionbased interaction systems could be the same for all applications and thus facilitate the implementation. For hand posture recognition, a SVM (Support Vector Machine) model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM (Hidden Markov Model) model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications. To validate the proposed framework two applications were implemented. The first one is a real-time system able to interpret the Portuguese Sign Language. The second one is an online system able to help a robotic soccer game referee judge a game in real time.

Generic system for human-computer gesture interaction

Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for humancomputer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of vision-based interaction systems can be the same for all applications and thus facilitate the implementation. In order to test the proposed solutions, three prototypes were implemented. For hand posture recognition, a SVM model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications.

Dynamic group formation in mobile computer supported collaborative learning environment

Forming suitable learning groups is one of the factors that determine the efficiency of collaborative learning activities. However, only a few studies were carried out to address this problem in the mobile learning environments. In this paper, we propose a new approach for an automatic, customized, and dynamic group formation in Mobile Computer Supported Collaborative Learning (MCSCL) contexts. The proposed solution is based on the combination of three types of grouping criteria: learner’s personal characteristics, learner’s behaviours, and context information. The instructors can freely select the type, the number, and the weight of grouping criteria, together with other settings such as the number, the size, and the type of learning groups (homogeneous or heterogeneous). Apart from a grouping mechanism, the proposed approach represents a flexible tool to control each learner, and to manage the learning processes from the beginning to the end of collaborative learning activities. In order to evaluate the quality of the implemented group formation algorithm, we compare its Average Intra-cluster Distance (AID) with the one of a random group formation method. The results show a higher effectiveness of the proposed algorithm in forming homogenous and heterogeneous groups compared to the random method.

Ergonomic evaluation of office workplaces with Rapid Office Strain Assessment (ROSA)

The regular use of the computer in the office contributed to the appearance of many risk factors related with work-related musculoskeletal disorders (WRMSD) such as maintaining static sitting postures for long time and awkward postures of the head, neck and upper limbs, leading to increased muscle activity in the cervical spine and shoulders. The objective of this study was to evaluate the presence of risk factors for WRMSD in an office using the Rapid Assessment Office Strain method (ROSA). Based on the results of this ergonomic evaluation, an occupational gym program was designed and implemented. Thirty-eight workplaces were evaluated using the observation of the tasks and pictures records in order to characterize those tasks in more detail. The ROSA tool was applied by an observer, who selected the appropriate score based on the worker's posture as well as the time spent in each posture. Scores were recorded for the sections of the method, specifically Chair, Monitor and Mouse and Keyboard and Telephone. The scores were recorded in a sheet developed for the method. The mean ROSA final score was 3.61 ± 0.64, for Chair section was 3.45 ± 0.55, to Monitor and Telephone section was 3.11 ± 0.61, and to Mouse and Keyboard section was 2.11 ± 0.31. The results led to understand that the analyzed tasks represent situations of risk of discomfort and, according to the methods guidelines, further research and modifications of the workplace may be necessary. It should be emphasized that these scores may not be related to the poor available equipment but with the need to optimize their use by the workers. It was noticed also that the interaction of workers with the tasks and the adopted sitting posture at the computer throughout the day have effects at a muscular level, essentially for the cervical area and shoulders. ROSA tool is an useful and easy method to assess several risk factors associated with WRMSD, also allowing the design of specific occupational gym programs.

Shear strengthening of reinforced concrete beams with SHCC-FRP panels

Tese de Doutoramento em Engenharia Civil

Da prova: na atuação policial e no âmbito da infração tributária

Relatório de atividade profissional de mestrado em Direito Judiciário

Impact performance prediction of injection-molded talc-filled polypropylene through thermomechanical environment assessment

Due to the fact that different injection molding conditions tailor the mechanical response of the thermoplastic material, such effect must be considered earlier in the product development process. The existing approaches implemented in different commercial software solutions are very limited in their capabilities to estimate the influence of processing conditions on the mechanical properties. Thus, the accuracy of predictive simulations could be improved. In this study, we demonstrate how to establish straightforward processing-impact property relationships of talc-filled injection-molded polypropylene disc-shaped parts by assessing the thermomechanical environment (TME). To investigate the relationship between impact properties and the key operative variables (flow rate, melt and mold temperature, and holding pressure), the design of experiments approach was applied to systematically vary the TME of molded samples. The TME is characterized on computer flow simulation outputsanddefined bytwo thermomechanical indices (TMI): the cooling index (CI; associated to the core features) and the thermo-stress index (TSI; related to the skin features). The TMI methodology coupled to an integrated simulation program has been developed as a tool to predict the impact response. The dynamic impact properties (peak force, peak energy, and puncture energy) were evaluated using instrumented falling weight impact tests and were all found to be similarly affected by the imposed TME. The most important molding parameters affecting the impact properties were found to be the processing temperatures (melt andmold). CI revealed greater importance for the impact response than TSI. The developed integrative tool provided truthful predictions for the envisaged impact properties.

Hand gesture recognition system based in computer vision and machine learning: Applications on human-machine interaction

Tese de Doutoramento em Engenharia de Eletrónica e de Computadores

A study of risk-aware program transformation

In the trend towards tolerating hardware unreliability, accuracy is exchanged for cost savings. Running on less reliable machines, functionally correct code becomes risky and one needs to know how risk propagates so as to mitigate it. Risk estimation, however, seems to live outside the average programmer’s technical competence and core practice. In this paper we propose that program design by source-to-source transformation be risk-aware in the sense of making probabilistic faults visible and supporting equational reasoning on the probabilistic behaviour of programs caused by faults. This reasoning is carried out in a linear algebra extension to the standard, `a la Bird-Moor algebra of programming. This paper studies, in particular, the propagation of faults across standard program transformation techniques known as tupling and fusion, enabling the fault of the whole to be expressed in terms of the faults of its parts.