Reported Use of Anabolic Steroids and Ergogenic Substances in Gym/Health Club Settings: Associations with Psychosocial and Exercise Behavior Factors

The industry of ergogenic supplements is increasing rapidly (Cole et al., 2003). Supplements may constitute an important aid for some vigourous exercise routines, but they may also be used as a hypothetical mean to achieve increases in muscular mass. This supposed effect of suplements can lead to its use by individuals who have high levels of drive for muscularity, a condition that is known to be associated with muscular dismorphy (or as it has been called recently vigorexia, Pope et al., 1997). Another psychological factor which can influence supplement consumption is exercise dependence, a borderline problem, as most studies present a prevalence of less than 10% in regular exercisers (Palmeira & Matos, 2006). Symptoms like tolerance or continuity could lead to the use of ergogenic aids to maintain the exercise levels. Also of interest for the understanding of the use of suplements are exercise frequency, volume and intensity, which could explain the ratesof consumption on a more physicological level.

An investigation into support for restrictions on HIV carriers in the Chicago metropolitan area

An investigation into support for restrictions on people testing seropositive for HIV is reported on. Data were collected during telephone interviews with two-hundred adults aged eighteen to sixty-five in the Chicago metropolitan area. Using the analytic technique of LISREL, six models which attempt to explain support for restrictions were tested. It was found that the model best supported by the data indicates that two groups contribute to support for restrictions on HIV carriers - one due to intolerance of homosexuality and one to mistrust of public health officials regarding their control and management of the AIDS epidemic. The relevance of these findings for public health policy makers is discussed.

Risk Aversion in a Mixed-Integer Nonlinear Approach to Support Decision-Making for a Hydro Power Producer

In this paper, a mixed-integer nonlinear approach is proposed to support decision-making for a hydro power producer, considering a head-dependent hydro chain. The aim is to maximize the profit of the hydro power producer from selling energy into the electric market. As a new contribution to earlier studies, a risk aversion criterion is taken into account, as well as head-dependency. The volatility of the expected profit is limited through the conditional value-at-risk (CVaR). The proposed approach has been applied successfully to solve a case study based on one of the main Portuguese cascaded hydro systems.

Aspectos psicossociais associados à percepção da dor pós-operatória em indivíduos submetidos a cirurgia coronária

Objectivo: Identificar os factores psicossociais que influenciam a percepção da dor pós-operatória em doentes submetidos a cirurgia de revascularização do miocárdio (CRM). Material e Métodos: Estudo exploratório correlacional de 91 doentes (71 homens e 20 mulheres) submetidos a CRM (pontagem aortocoronária) por esternotomia). A idade média era de 63,8 ± 9,6 anos (entre 39 e 84). Foram utilizados os seguintes instrumentos: Escala Analógica Visual às 24, 48 e 96 horas do pós-operatório; Questionário de Caracterização Demográfica; Mental Health Inventory de 5 itens; Percepção de Saúde Geral (SF-36); Escala de Expectativas de Dor; Escala de Percepção de Apoio; Escala de Expectativas de Auto-eficácia; Satisfação com o tratamento, médicos e enfermeiros (American Pain Society Questionnaire) aplicados às 96 horas após a cirurgia. Resultados: Os doentes que apresentaram expectativas elevadas de dor, percepcionaram maior apoio, apresentaram níveis elevados de auto-eficácia para lidar com a dor ou, se pertenciam ao sexo masculino, sentiram menos dor. De igual modo, os doentes que apresentaram melhor saúde mental, percepcionaram a sua saúde como boa e os doentes que expressaram maior satisfação com o tratamento sentiram menos dor. A dor não foi influenciada pela idade, grau de escolaridade ou pela satisfação com a conduta de médicos e enfermeiros. Conclusão: Após as primeiras 48 horas do pós-operatório, a experiência de dor é influenciada por factores psicossociais, em oarticular pela expectativa de dor, expectativa de auto-eficácia, apoio percebido, percepção da saúde geral, percepção de saúde mental e satisfação com o tratamento para a dor. Perante os resultados, evidencia-se a necessidade de conjugar conhecimentos no sentido de dar respostas mais alargadas e de carácter multidisciplinar no tratamento da dor pós-operatória em CRM devendo, a par de outros aspectos, focar-se na gestão das expectativas dos doentes. ABSTRACT - Objective: To identify the psychological factors that influence post-surgery pain perception in patients undergoing coronary artery bypass graft surgery (CABG). Methods: This was an exploratory correlational study of 91 patients (71 men and 20 women) who underwent CABG (aortocoronary anastomosis) by sternotomy. Mean age was 63.8 ± 9.6 years (between 39 and 84). The following instruments were used: visual analogical scales at 24, 48 and 96 hours of post-surgery; demographic characteristics survey; pain expectations scale; perceived support scale; self-efficacy scale, Mental Inventory (5 items); health perception scale; and satisfaction with treatment, doctors and nurses (American Pain Society questionnaire) at 96 hours after surgery. Results: Patients who had presented high expectations of pain, perceived more support, presented high levels of self-efficacy to deal with pain or were male, felt less pain. Furthermore, patients who presented better mental health, perceived their general health as being good, or expressed greater satisfaction with treatment, felt less pain. Pain was not influenced by age, level of education or satisfaction with doctors and nurses. Conclusion: After the first 48 hours following surgery, the pain experience is influenced by psychosocial factors, in particular by expectation of pain and of self-efficacy, perceived support, perception of general and mental health, and satisfaction with pain treatment. The results confirm the need to bring together different kinds of knowledge for a broad, multidisciplinary approach to postoperative CABG pain treatment, focusing, along with other aspects, on management of patients’ expectations.

Participação ocupacional do idoso com deficiência visual: sua percepção

O estudo apresentado visava responder às necessidades emergentes de justificação da intervenção da Terapia Ocupacional na população idosa com deficiência visual. Teve como objectivo explorar as perspectivas dos idosos com deficiência visual na experiência que têm da sua participação ocupacional. Paralelamente a este objectivo procurou-se, também, conhecer as atitudes e comportamentos em relação ao apoio da Terapia Ocupacional. Para estudar estas questões utilizou-se uma metodologia qualitativa, a fenomenologia, que permitiu descrever fielmente a experiência que se pretendia conhecer. A recolha de dados foi feita através de duas sessões de focus groups distintas, onde num dos grupos participaram idosos com deficiência visual que tiveram apoio de Terapia Ocupacional e no outro idosos com deficiência visual que não usufruíram deste apoio. Após a análise do conteúdo resultante dos focus groups emergiram os seguintes temas: impacto da deficiência visual, onde foram englobadas as categorias de implicações psicossociais da deficiência visual e restrições nas actividades e ocupações do idoso com deficiência visual; o segundo tema onde se incluíram as categorias de apoio e atitudes sociais, instituições e recursos acessíveis e estratégias utilizadas; por fim o tema dos benefícios percebidos, do qual fazem parte as categorias, benefícios psicológicos e participação. Estes temas permitiram perceber as perspectivas de participação ocupacional do idoso, após o aparecimento da deficiência visual, bem como conhecer as melhorias ao nível dessa participação após intervenção especializada, destacando-se a relevância da intervenção do terapeuta ocupacional na população idosa com deficiência visual.

Analysis of ground reaction force and electromyographic activity of the gastrocnemius muscle during double support

O documento em anexo encontra-se na versão post-print (versão corrigida pelo editor).

Comparative analysis of the ground reaction forces, during the support phase, in a group of pregnant women on their 3rd trimester of pregnancy and in a group of not pregnant women

PURPOSE: To analyze and compare the Ground Reaction Forces (GRF), during the stance phase of walking in pregnant women in the 3rd trimester of pregnancy, and non pregnant women. METHODS: 20 women, 10 pregnant and 10 non pregnant, voluntarily took part in this study. GRF were measured (1000 Hz) using a force platform (BERTEC 4060-15), an amplifier (BERTEC AM 6300) and an analogical-digital converter of 16 Bits (Biopac). RESULTS: The study showed that there were significant differences among the two groups concerning absolute values of time of the stance phase. In what concerns to the normalized values the most significant differences were verified in the maximums values of vertical force (Fz3, Fz1) and in the impulse of the antero-posterior force (Fy2), taxes of growth of the vertical force, and in the period of time for the antero-posterior force (Fy) be null. CONCLUSIONS: It is easier for the pregnant to continue forward movement (push-off phase). O smaller growth rates in what concerns to the maximum of the vertical force (Fz1) for the pregnant, can be associated with a slower speed of gait, as an adaptation strategy to maintain the balance, to compensate the alterations in the position of her center of gravity due to the load increase. The data related to the antero-posterior component of the force (Fy), shows that there is a significant difference between the pregnant woman’s left foot and right foot, which accuses a different functional behavior in each one of the feet, during the propulsion phase (TS).

Data mining techniques contributions to support electrical vehicle demand response

The introduction of Electric Vehicles (EVs) together with the implementation of smart grids will raise new challenges to power system operators. This paper proposes a demand response program for electric vehicle users which provides the network operator with another useful resource that consists in reducing vehicles charging necessities. This demand response program enables vehicle users to get some profit by agreeing to reduce their travel necessities and minimum battery level requirements on a given period. To support network operator actions, the amount of demand response usage can be estimated using data mining techniques applied to a database containing a large set of operation scenarios. The paper includes a case study based on simulated operation scenarios that consider different operation conditions, e.g. available renewable generation, and considering a diversity of distributed resources and electric vehicles with vehicle-to-grid capacity and demand response capacity in a 33 bus distribution network.

Personalized sightseeing tours support using mobile devices

In this paper, we present PSiS (Personalized Sightseeing Tours Recommendation System) Mobile. PSiS Mobile is our proposal to a mobile recommendation and planning support system, which is designed to provide effective support during the tourist visit with context-aware information and recommendations about places of interest (POI), exploiting tourist preferences and context.

Agent-based simulation of electronic marketplaces with decision support

This paper presents a Multi-Agent Market simulator designed for analyzing agent market strategies based on a complete understanding of buyer and seller behaviors, preference models and pricing algorithms, considering user risk preferences and game theory for scenario analysis. The system includes agents that are capable of improving their performance with their own experience, by adapting to the market conditions, and capable of considering other agents reactions.

A multi-agent system for the support of producer coalition formation in electricity markets

All over the world Distributed Generation is seen as a valuable help to get cleaner and more efficient electricity. To get negotiation power and advantages of scale economy, distributed producers can be aggregated giving place to a new concept: the Virtual Power Producer. Virtual Power Producers are multitechnology and multi-site heterogeneous entities. Virtual Power Producers should adopt organization and management methodologies so that they can make Distributed Generation a really profitable activity, able to participate in the market. In this paper we address the development of a multi-agent market simulator – MASCEM – able to study alternative coalitions of distributed producers in order to identify promising Virtual Power Producers in an electricity market.

A decision-support system based on particle swarm optimization for multiperiod hedging in electricity markets

This paper proposes a particle swarm optimization (PSO) approach to support electricity producers for multiperiod optimal contract allocation. The producer risk preference is stated by a utility function (U) expressing the tradeoff between the expectation and variance of the return. Variance estimation and expected return are based on a forecasted scenario interval determined by a price range forecasting model developed by the authors. A certain confidence level is associated to each forecasted scenario interval. The proposed model makes use of contracts with physical (spot and forward) and financial (options) settlement. PSO performance was evaluated by comparing it with a genetic algorithm-based approach. This model can be used by producers in deregulated electricity markets but can easily be adapted to load serving entities and retailers. Moreover, it can easily be adapted to the use of other type of contracts.

Knowledge extraction from medium voltage load diagrams to support the definition of electrical tariffs

With the electricity market liberalization, distribution and retail companies are looking for better market strategies based on adequate information upon the consumption patterns of its electricity customers. In this environment all consumers are free to choose their electricity supplier. A fair insight on the customer´s behaviour will permit the definition of specific contract aspects based on the different consumption patterns. In this paper Data Mining (DM) techniques are applied to electricity consumption data from a utility client’s database. To form the different customer´s classes, and find a set of representative consumption patterns, we have used the Two-Step algorithm which is a hierarchical clustering algorithm. Each consumer class will be represented by its load profile resulting from the clustering operation. Next, to characterize each consumer class a classification model will be constructed with the C5.0 classification algorithm.

Decision support system with incomplete and domain incoherent information management

Many of the most common human functions such as temporal and non-monotonic reasoning have not yet been fully mapped in developed systems, even though some theoretical breakthroughs have already been accomplished. This is mainly due to the inherent computational complexity of the theoretical approaches. In the particular area of fault diagnosis in power systems however, some systems which tried to solve the problem, have been deployed using methodologies such as production rule based expert systems, neural networks, recognition of chronicles, fuzzy expert systems, etc. SPARSE (from the Portuguese acronym, which means expert system for incident analysis and restoration support) was one of the developed systems and, in the sequence of its development, came the need to cope with incomplete and/or incorrect information as well as the traditional problems for power systems fault diagnosis based on SCADA (supervisory control and data acquisition) information retrieval, namely real-time operation, huge amounts of information, etc. This paper presents an architecture for a decision support system, which can solve the presented problems, using a symbiosis of the event calculus and the default reasoning rule based system paradigms, insuring soft real-time operation with incomplete, incorrect or domain incoherent information handling ability. A prototype implementation of this system is already at work in the control centre of the Portuguese Transmission Network.

An intelligent tutoring approach to support students and technicians in electrical installation design

Designing electric installation projects, demands not only academic knowledge, but also other types of knowledge not easily acquired through traditional instructional methodologies. A lot of additional empirical knowledge is missing and so the academic instruction must be completed with different kinds of knowledge, such as real-life practical examples and simulations. On the other hand, the practical knowledge detained by the most experienced designers is not formalized in such a way that is easily transmitted. In order to overcome these difficulties present in the engineers formation, we are developing an Intelligent Tutoring System (ITS), for training and support concerning the development of electrical installation projects to be used by electrical engineers, technicians and students.