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.

Influence of Lean and Green on supply chain performance: an interpretive structural modelling model

This work aims to identify and rank a set of Lean and Green practices and supply chain performance measures on which managers should focus to achieve competitiveness and improve the performance of automotive supply chains. The identification of the contextual relationships among the suggested practices and measures, was performed through literature review. Their ranking was done by interviews with professionals from the automotive industry and academics with wide knowledge on the subject. The methodology of interpretive structural modelling (ISM) is a useful methodology to identify inter relationships among Lean and Green practices and supply chain performance measures and to support the evaluation of automotive supply chain performance. Using the ISM methodology, the variables under study were clustered according to their driving power and dependence power. The ISM methodology was proposed to be used in this work. The model intends to provide a better understanding of the variables that have more influence (driving variables), the others and those which are most influenced (dependent variables) by others. The information provided by this model is strategic for managers who can use it to identify which variables they should focus on in order to have competitive supply chains.

Enterprise reference lexicon building from business models

Nowadays, a significant increase on the demand for interoperable systems for exchanging data in business collaborative environments has been noticed. Consequently, cooperation agreements between each of the involved enterprises have been brought to light. However, due to the fact that even in a same community or domain, there is a big variety of knowledge representation not semantically coincident, which embodies the existence of interoperability problems in the enterprises information systems that need to be addressed. Moreover, in relation to this, most organizations face other problems about their information systems, as: 1) domain knowledge not being easily accessible by all the stakeholders (even intra-enterprise); 2) domain knowledge not being represented in a standard format; 3) and even if it is available in a standard format, it is not supported by semantic annotations or described using a common and understandable lexicon. This dissertation proposes an approach for the establishment of an enterprise reference lexicon from business models. It addresses the automation in the information models mapping for the reference lexicon construction. It aggregates a formal and conceptual representation of the business domain, with a clear definition of the used lexicon to facilitate an overall understanding by all the involved stakeholders, including non-IT personnel.

Bits, Atoms, and Information Sharing: new opportunities for participation

The particular characteristics and affordances of technologies play a significant role in human experience by defining the realm of possibilities available to individuals and societies. Some technological configurations, such as the Internet, facilitate peer-to-peer communication and participatory behaviors. Others, like television broadcasting, tend to encourage centralization of creative processes and unidirectional communication. In other instances still, the affordances of technologies can be further constrained by social practices. That is the case, for example, of radio which, although technically allowing peer-to-peer communication, has effectively been converted into a broadcast medium through the legislation of the airwaves. How technologies acquire particular properties, meanings and uses, and who is involved in those decisions are the broader questions explored here. Although a long line of thought maintains that technologies evolve according to the logic of scientific rationality, recent studies demonstrated that technologies are, in fact, primarily shaped by social forces in specific historical contexts. In this view, adopted here, there is no one best way to design a technological artifact or system; the selection between alternative designs—which determine the affordances of each technology—is made by social actors according to their particular values, assumptions and goals. Thus, the arrangement of technical elements in any technological artifact is configured to conform to the views and interests of those involved in its development. Understanding how technologies assume particular shapes, who is involved in these decisions and how, in turn, they propitiate particular behaviors and modes of organization but not others, requires understanding the contexts in which they are developed. It is argued here that, throughout the last century, two distinct approaches to the development and dissemination of technologies have coexisted. In each of these models, based on fundamentally different ethoi, technologies are developed through different processes and by different participants—and therefore tend to assume different shapes and offer different possibilities. In the first of these approaches, the dominant model in Western societies, technologies are typically developed by firms, manufactured in large factories, and subsequently disseminated to the rest of the population for consumption. In this centralized model, the role of users is limited to selecting from the alternatives presented by professional producers. Thus, according to this approach, the technologies that are now so deeply woven into human experience, are primarily shaped by a relatively small number of producers. In recent years, however, a group of three interconnected interest groups—the makers, hackerspaces, and open source hardware communities—have increasingly challenged this dominant model by enacting an alternative approach in which technologies are both individually transformed and collectively shaped. Through a in-depth analysis of these phenomena, their practices and ethos, it is argued here that the distributed approach practiced by these communities offers a practical path towards a democratization of the technosphere by: 1) demystifying technologies, 2) providing the public with the tools and knowledge necessary to understand and shape technologies, and 3) encouraging citizen participation in the development of technologies.

Analysis and visualization of energy use for university campus

The reduction of greenhouse gas emissions is one of the big global challenges for the next decades due to its severe impact on the atmosphere that leads to a change in the climate and other environmental factors. One of the main sources of greenhouse gas is energy consumption, therefore a number of initiatives and calls for awareness and sustainability in energy use are issued among different types of institutional and organizations. The European Council adopted in 2007 energy and climate change objectives for 20% improvement until 2020. All European countries are required to use energy with more efficiency. Several steps could be conducted for energy reduction: understanding the buildings behavior through time, revealing the factors that influence the consumption, applying the right measurement for reduction and sustainability, visualizing the hidden connection between our daily habits impacts on the natural world and promoting to more sustainable life. Researchers have suggested that feedback visualization can effectively encourage conservation with energy reduction rate of 18%. Furthermore, researchers have contributed to the identification process of a set of factors which are very likely to influence consumption. Such as occupancy level, occupants behavior, environmental conditions, building thermal envelope, climate zones, etc. Nowadays, the amount of energy consumption at the university campuses are huge and it needs great effort to meet the reduction requested by European Council as well as the cost reduction. Thus, the present study was performed on the university buildings as a use case to: a. Investigate the most dynamic influence factors on energy consumption in campus; b. Implement prediction model for electricity consumption using different techniques, such as the traditional regression way and the alternative machine learning techniques; and c. Assist energy management by providing a real time energy feedback and visualization in campus for more awareness and better decision making. This methodology is implemented to the use case of University Jaume I (UJI), located in Castellon, Spain.

A SARIMA forecasting model to predict the number of cases of dengue in Campinas, State of São Paulo, Brazil

INTRODUCTION: Forecasting dengue cases in a population by using time-series models can provide useful information that can be used to facilitate the planning of public health interventions. The objective of this article was to develop a forecasting model for dengue incidence in Campinas, southeast Brazil, considering the Box-Jenkins modeling approach. METHODS: The forecasting model for dengue incidence was performed with R software using the seasonal autoregressive integrated moving average (SARIMA) model. We fitted a model based on the reported monthly incidence of dengue from 1998 to 2008, and we validated the model using the data collected between January and December of 2009. RESULTS: SARIMA (2,1,2) (1,1,1)12 was the model with the best fit for data. This model indicated that the number of dengue cases in a given month can be estimated by the number of dengue cases occurring one, two and twelve months prior. The predicted values for 2009 are relatively close to the observed values. CONCLUSIONS: The results of this article indicate that SARIMA models are useful tools for monitoring dengue incidence. We also observe that the SARIMA model is capable of representing with relative precision the number of cases in a next year.

Molecular characterization of Trypanosoma cruzi Mexican strains and their behavior in the mouse experimental model

INTRODUCTION: For a long time, the importance of Chagas disease in Mexico, where many regarded it as an exotic malady, was questioned. Considering the great genetic diversity among isolates of Trypanosoma cruzi, the importance of this biological characterization, and the paucity of information on the clinical and biological aspects of Chagas disease in Mexico, this study aimed to identify the molecular and biological characterization of Trypanosoma cruzi isolates from different endemic areas of this country, especially of the State of Jalisco. METHODS: Eight Mexican Trypanosoma cruzi strains were biologically and genetically characterized (PCR specific for Trypanosoma cruzi, multiplex-PCR, amplification of space no transcript of the genes of the mini-exon, amplification of polymorphic regions of the mini-exon, classification by amplification of intergenic regions of the spliced leader genes, RAPD - (random amplified polymorphic DNA). RESULTS: Two profiles of parasitaemia were observed, patent (peak parasitaemia of 4.6×10(6) to 10(7) parasites/mL) and subpatent. In addition, all isolates were able to infect 100% of the animals. The isolates mainly displayed tropism for striated (cardiac and skeletal) muscle. PCR amplification of the mini-exon gene classified the eight strains as TcI. The RAPD technique revealed intraspecies variation among isolates, distinguishing strains isolated from humans and triatomines and according to geographic origin. CONCLUSIONS: The Mexican T. cruzi strains are myotrophic and belong to group TcI.

Building a thinner gap in a gas-gap heat switch

25th International Cryogenic Engineering Conference and the International Cryogenic Materials Conference in 2014, ICEC 25–ICMC 2014

How do current term structure model behave beyond the last liquid point?: A comparison of the DNS and Smith-Wilson methods

A Work Project, presented as part of the requirements for the Award of a Master’s Double Degree in Finance from Maastricht University and NOVA – School of Business and Economics

A business model for an entertainment solution to the in-vehicle infotainment industry

The evolution of mobile technologies that make its presence something ubiquitous and the idea of internet connectivity in every device, often called as the Internet of Things, are pushing a disruption in other industry: the in-vehicle infotainment (IVI). Many companies are trying to enter this new industry that comprises information (weather, news, location services) and entertainment solutions in just one. For that purpose, company X developed a new entertainment solution and intends to bring it to market. This Work Project focuses on creating a business model and an entry mode for the company.

Fostering e-participation sustainability through a BPM-driven semantic model

According to a recent Eurobarometer survey (2014), 68% of Europeans tend not to trust national governments. As the increasing alienation of citizens from politics endangers democracy and welfare, governments, practitioners and researchers look for innovative means to engage citizens in policy matters. One of the measures intended to overcome the so-called democratic deficit is the promotion of civic participation. Digital media proliferation offers a set of novel characteristics related to interactivity, ubiquitous connectivity, social networking and inclusiveness that enable new forms of societal-wide collaboration with a potential impact on leveraging participative democracy. Following this trend, e-Participation is an emerging research area that consists in the use of Information and Communication Technologies to mediate and transform the relations among citizens and governments towards increasing citizens’ participation in public decision-making. However, despite the widespread efforts to implement e-Participation through research programs, new technologies and projects, exhaustive studies on the achieved outcomes reveal that it has not yet been successfully incorporated in institutional politics. Given the problems underlying e-Participation implementation, the present research suggested that, rather than project-oriented efforts, the cornerstone for successfully implementing e-Participation in public institutions as a sustainable added-value activity is a systematic organisational planning, embodying the principles of open-governance and open-engagement. It further suggested that BPM, as a management discipline, can act as a catalyst to enable the desired transformations towards value creation throughout the policy-making cycle, including political, organisational and, ultimately, citizen value. Following these findings, the primary objective of this research was to provide an instrumental model to foster e-Participation sustainability across Government and Public Administration towards a participatory, inclusive, collaborative and deliberative democracy. The developed artefact, consisting in an e-Participation Organisational Semantic Model (ePOSM) underpinned by a BPM-steered approach, introduces this vision. This approach to e-Participation was modelled through a semi-formal lightweight ontology stack structured in four sub-ontologies, namely e-Participation Strategy, Organisational Units, Functions and Roles. The ePOSM facilitates e-Participation sustainability by: (1) Promoting a common and cross-functional understanding of the concepts underlying e-Participation implementation and of their articulation that bridges the gap between technical and non-technical users; (2) Providing an organisational model which allows a centralised and consistent roll-out of strategy-driven e-Participation initiatives, supported by operational units dedicated to the execution of transformation projects and participatory processes; (3) Providing a standardised organisational structure, goals, functions and roles related to e-Participation processes that enhances process-level interoperability among government agencies; (4) Providing a representation usable in software development for business processes’ automation, which allows advanced querying using a reasoner or inference engine to retrieve concrete and specific information about the e-Participation processes in place. An evaluation of the achieved outcomes, as well a comparative analysis with existent models, suggested that this innovative approach tackling the organisational planning dimension can constitute a stepping stone to harness e-Participation value.

Semantic relations extraction from unstructured information for domain ontologies enrichment

Based in internet growth, through semantic web, together with communication speed improvement and fast development of storage device sizes, data and information volume rises considerably every day. Because of this, in the last few years there has been a growing interest in structures for formal representation with suitable characteristics, such as the possibility to organize data and information, as well as the reuse of its contents aimed for the generation of new knowledge. Controlled Vocabulary, specifically Ontologies, present themselves in the lead as one of such structures of representation with high potential. Not only allow for data representation, as well as the reuse of such data for knowledge extraction, coupled with its subsequent storage through not so complex formalisms. However, for the purpose of assuring that ontology knowledge is always up to date, they need maintenance. Ontology Learning is an area which studies the details of update and maintenance of ontologies. It is worth noting that relevant literature already presents first results on automatic maintenance of ontologies, but still in a very early stage. Human-based processes are still the current way to update and maintain an ontology, which turns this into a cumbersome task. The generation of new knowledge aimed for ontology growth can be done based in Data Mining techniques, which is an area that studies techniques for data processing, pattern discovery and knowledge extraction in IT systems. This work aims at proposing a novel semi-automatic method for knowledge extraction from unstructured data sources, using Data Mining techniques, namely through pattern discovery, focused in improving the precision of concept and its semantic relations present in an ontology. In order to verify the applicability of the proposed method, a proof of concept was developed, presenting its results, which were applied in building and construction sector.

Building 3D City Models: Testing and Comparing Laser Scanning and Low-Cost UAV Data Using FOSS Technologies

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Minimal computation structures for visual information applications based on printed electronics

In the early nineties, Mark Weiser wrote a series of seminal papers that introduced the concept of Ubiquitous Computing. According to Weiser, computers require too much attention from the user, drawing his focus from the tasks at hand. Instead of being the centre of attention, computers should be so natural that they would vanish into the human environment. Computers become not only truly pervasive but also effectively invisible and unobtrusive to the user. This requires not only for smaller, cheaper and low power consumption computers, but also for equally convenient display solutions that can be harmoniously integrated into our surroundings. With the advent of Printed Electronics, new ways to link the physical and the digital worlds became available. By combining common printing techniques such as inkjet printing with electro-optical functional inks, it is starting to be possible not only to mass-produce extremely thin, flexible and cost effective electronic circuits but also to introduce electronic functionalities into products where it was previously unavailable. Indeed, Printed Electronics is enabling the creation of novel sensing and display elements for interactive devices, free of form factor. At the same time, the rise in the availability and affordability of digital fabrication technologies, namely of 3D printers, to the average consumer is fostering a new industrial (digital) revolution and the democratisation of innovation. Nowadays, end-users are already able to custom design and manufacture on demand their own physical products, according to their own needs. In the future, they will be able to fabricate interactive digital devices with user-specific form and functionality from the comfort of their homes. This thesis explores how task-specific, low computation, interactive devices capable of presenting dynamic visual information can be created using Printed Electronics technologies, whilst following an approach based on the ideals behind Personal Fabrication. Focus is given on the use of printed electrochromic displays as a medium for delivering dynamic digital information. According to the architecture of the displays, several approaches are highlighted and categorised. Furthermore, a pictorial computation model based on extended cellular automata principles is used to programme dynamic simulation models into matrix-based electrochromic displays. Envisaged applications include the modelling of physical, chemical, biological, and environmental phenomena.

A decision- theoretic model for M&A sale processes

A Work Project, presented as part of the requirements for the Award of a Masters Double Degree in Economics and International Business from the NOVA – School of Business and Economics and Insper Instituto de Ensino e Pesquisa