Variáveis psicológicas e percepção do estado de saúde em indivíduos submetidos a ressincronização cardíaca

A insuficiência cardíaca afecta cerca de 261 mil pessoas em Portugal constituindo um problema de saúde pública. Pretendemos avaliar aspectos associados à recuperação do estado de saúde nesta síndrome, em particular a esperança, o afecto e a felicidade. Recorremos a um estudo longitudinal com 128 indivíduos sintomáticos com má fracção de ejecção do ventrículo esquerdo. Utilizámos um questionário para caracterizar os aspectos sóciodemográficos, clínicos e funcionais, o Kansas City Cardiomiopathy Questionnaire (KCCQ) para avaliar a qualidade de vida, a Subjective Hapiness Scale (SHS) para a felicidade, a HOPE Scale (HOPE) para a esperança e a Positive And Negative Afect Schedule (PANAS) para o afecto. Os questionários de caracterização sócio-demográfica, clínica e funcional, KCCQ e o SHS foram aplicados em três momentos: no internamento, prévio à instituição de terapêutica médica na sua totalidade e ao terceiro e sexto mês após a intervenção médica, na consulta externa. A maioria dos participantes eram homens em classe III da classificação da New York Heart Association com etiologia isquémica. No internamento e antes da terapêutica médica, observámos que a esperança, a felicidade e o afecto se relacionaram com a qualidade de vida, a felicidade e o afecto positivo com a esperança. No período avaliado foram submetidos a: terapia de ressincronização cardíaca (n=52), cardioversor-desfibrilhador implantável (n=44), cirurgia valvular com revascularização do miocárdio (n=14), optimização terapêutica farmacológica (n=10), transplante cardíaco (n=8). Foram significativos os resultados da qualidade de vida, da classificação da New York Heart Association, do exercício físico, da fracção de ejecção do ventrículo esquerdo e das arritmias cardíacas (estrasístoles e taquicardias ventriculares). A felicidade foi preditora da qualidade de vida e da funcionalidade. O afecto negativo foi preditor da satisfação com a insuficiência cardíaca. Concluímos da importância das variáveis positivas a par dos procedimentos médicos no tratamento das pessoas com insuficiência cardíaca. ABSTRACT - Heart failure affects about 261 000 people in Portugal constituting a public health problem. We intend to evaluate aspects of the health recovery in this syndrome, in particular hope, affection and happiness. We used a longitudinal study with 128 symptomatic patients with poor ejection fraction of left ventricle. We used a questionnaire to characterize the socio-demographic, clinical and functional aspects, the Kansas City Cardiomiopathy Questionnaire (KCCQ) to assess the quality of life, the Subjective Happiness Scale (SHS) for happiness, the HOPE Scale (HOPE) for hope and the Positive And Negative Affect Schedule (PANAS) for affection. The questionnaires of sociodemographic, clinical and functional KCCQ and SHS were applied on three occasions: on admission, prior to the execution of medical therapy in its totality and in the third and sixth months after medical intervention in the outpatient. Most of the participants were men in Class III New York Heart Association classification with ischemic etiology. At admission and before medical therapy, we observed that the hope, happiness and affection were related to the quality of life, happiness and positive affect with hope. Over the studied period were submitted to: cardiac resynchronization therapy (n=52), implantable cardioverter-defibrillator (n=44), valvular surgery with coronary artery bypass graft surgery (n=14), optimizing drug therapy (n=10), heart transplant (n=8). The significant results were the quality of life, the New York Heart Association classification, the exercise, the ejection fraction and left ventricular cardiac arrhythmias (ventricular tachycardia and estrasistoles). Happiness was a predictor of quality of life and functionality. The negative affect was a predictor of satisfaction with heart failure. We concluded that the positive variables and the medical procedures were important in treating people with heart failure.

Validation of a measurement scale for the relationship between the orientation to corporate social responsibility and other business strategic variables

The importance of Social Responsibility (SR) is higher if this business variable is related with other ones of strategic nature in business activity (competitive success that the company achieved, performance that the firms develop and innovations that they carries out). The hypothesis is that organizations that focus on SR are those who get higher outputs and innovate more, achieving greater competitive success. A scale for measuring the orientation to SR has defined in order to determine the degree of relationship between above elements. This instrument is original because previous scales do not exist in the literature which could measure, on the one hand, the three classics sub-constructs theoretically accepted that SR is made up and, on the other hand, the relationship between SR and the other variables. As a result of causal relationships analysis we conclude with a scale of 21 indicators, validated scale with a sample of firms belonging to the Autonomous Community of Extremadura and it is the first empirical validation of these dimensions we know so far, in this context.

Enhancing the selection of a model-based clustering with external categorical variables

In cluster analysis, it can be useful to interpret the partition built from the data in the light of external categorical variables which are not directly involved to cluster the data. An approach is proposed in the model-based clustering context to select a number of clusters which both fits the data well and takes advantage of the potential illustrative ability of the external variables. This approach makes use of the integrated joint likelihood of the data and the partitions at hand, namely the model-based partition and the partitions associated to the external variables. It is noteworthy that each mixture model is fitted by the maximum likelihood methodology to the data, excluding the external variables which are used to select a relevant mixture model only. Numerical experiments illustrate the promising behaviour of the derived criterion. © 2014 Springer-Verlag Berlin Heidelberg.

A numerical analysis of generalized Boussinesq-type equation using continuos/discontinuous FEM

An improved class of Boussinesq systems of an arbitrary order using a wave surface elevation and velocity potential formulation is derived. Dissipative effects and wave generation due to a time-dependent varying seabed are included. Thus, high-order source functions are considered. For the reduction of the system order and maintenance of some dispersive characteristics of the higher-order models, an extra O(mu 2n+2) term (n ??? N) is included in the velocity potential expansion. We introduce a nonlocal continuous/discontinuous Galerkin FEM with inner penalty terms to calculate the numerical solutions of the improved fourth-order models. The discretization of the spatial variables is made using continuous P2 Lagrange elements. A predictor-corrector scheme with an initialization given by an explicit RungeKutta method is also used for the time-variable integration. Moreover, a CFL-type condition is deduced for the linear problem with a constant bathymetry. To demonstrate the applicability of the model, we considered several test cases. Improved stability is achieved.

Enhancing the selection of a model-based clustering with external categorical variables

In cluster analysis, it can be useful to interpret the partition built from the data in the light of external categorical variables which are not directly involved to cluster the data. An approach is proposed in the model-based clustering context to select a number of clusters which both fits the data well and takes advantage of the potential illustrative ability of the external variables. This approach makes use of the integrated joint likelihood of the data and the partitions at hand, namely the model-based partition and the partitions associated to the external variables. It is noteworthy that each mixture model is fitted by the maximum likelihood methodology to the data, excluding the external variables which are used to select a relevant mixture model only. Numerical experiments illustrate the promising behaviour of the derived criterion.