A comparison of three physical activity programs for health and fitness tested with older women: Benefits of aerobic activity,aqua fitness,and strength training

ABSTRACT

Inactivity has been associated with decreased quality of life of older people, and many physical activity programs are encouraged. However, the heterogeneity of the different exercise programs available is well recognized. The objective was to compare three physical activity programs (strength training, aqua fitness, and aerobic exercise) to discern the differences in the benefits achieved by each of them in older women over a period of 6 months. For that, a double-blind randomized trial sorted 347 women over 50 years old into three groups of exercise programs; they completed three sessions of evaluation that included the measurement of weight and body mass index and used the Senior Fitness Test (SFT) and SF-12 questionnaire. A t-test for related samples compared the evolution of each group, and ANOVA statistic was used to compare the effect of the different exercise programs. The results showed that women should consider performing aerobic activity up to age 60. After that age, aerobic activity or strength training can provide greater benefits.     

Emotional Intelligence as a Protective Factor Against Psychological Maltreatment in Dating Couples According to Age

Abstract

Psychological violence during dating is a current phenomenon of universal proportions. Initiatives are urgently required to deal with this reality, initiatives focused on anticipating the potentially violent dynamics. Various works of research have confirmed that emotional intelligence can be a protecting factor against violence in relationships. This paper analyses the relation between the capacity to exercise behavior patterns of psychological maltreatment within dating couples and the subjects’ emotional competences, as well as its relation to the subjects’ age. 1080 students of the University of Extremadura (Spain) participated in the study, aged between 17 and 23?years or more. The results show the presence of all the behavior patterns of psychological maltreatment analyzed, especially among the students aged 17–18?years. Similarly, the existence of significant correlations between all the manifestations of psychological violence and the emotional competences studied are confirmed, with a great variability in the results depending on the subjects’ age. Future studies are suggested focusing on training in emotional self-management skills as a protective agent against psychological violence in dating couples and as a healthy marital mechanism with no age limit.     

Manufacturing flexibility and advanced human resource management practices

This article analyses the connection between the use of advanced human resource management (HRM) practices, individually and as a system, with manufacturing flexibility. The results show a positive relationship between the implementation of advanced HRM practices and manufacturing flexibility. While most of the advanced HRM practices analysed show higher levels of implementation in flexible firms, no differences are observed in training efforts. Flexible firms are more prone to implement systems of advanced HRM practices.     

Too Negative to Take Risks? The Effect of the CEO's Emotional Traits on Firm Risk

Except for some recent survey and experimental studies, strategic management research has tended to neglect the influence of emotions on managers' strategic choices. This paper analyses the influence of the stable, long‐term emotional traits of CEOs on an actual business outcome: risk taking. The hypotheses are tested on a sample of 51 Spanish banks and savings banks. Our results show that CEO affective traits influence banks' risk taking. Specifically, our analyses show that managers' negative affective traits are related to lower risk taking as reflected in a lower variability in performance, a lower level of credit risk and a less risky composition of the loan portfolios of the banks they manage. Positive affective traits do not seem to influence the level of risk. These findings partially support ‘affect congruency and generalization’ arguments, and show the need to consider the role of affects when analysing CEOs' strategic choices.     

Research in progress. Social work and racial prejudice: A quasi-experimental model to promote multicultural attitudes

The aim of this paper is to present the results of the first pilot study of the EUROSUR model in Spain. Theoretically based on Banks intercultural holistic approach (1986; 1989) and Alegret's anti-racism (1992), this heuristic model provides anti-racist social work education with an innovative design and methodology. The results show that, through EUROSUR, young people are more aware of the immigration process and therefore develop interpersonal actions to help immigrants. In diesem Aufsatz sollen die Ergebnisse des ersten Pilotstudie des ERUOSUR-Modelles in Spanien vorgestellt werden. Unter theoretischem Rückbezug auf ganzheitlich-interkulturelle (Banks 1986; 1989) sowie anti-rassistische Ansätze (Alegret 1992) stellt dieses heuristische Konzept einen sowohl in Design als auch Methodologie innovativen Ansatz der Ausbildung von Sozialarbeitern dar. Die Ergebnisse lassen erkennen, daßjunge Menschen durch EUROSUR zu einer bewußteren Wahrnehmung des Migrationsprozesses gleangen und und in der Folge Aktionen entwickeln, um Migranten zu Unterstützen. El objetivo del artículo es presentar los resultados del primer estudio piloto del modelo EUROSUR en España. Consiste en un modelo heurístico teóricamente basado en el enfoque holístico intercultural de Banks (1986, 1989) y el enfoque antirracista de Alegret (1992), que aporta un diseño y una metodología novedosa para el Trabajo Social Antirracista desde el sistema educativo. Los resultados indican que a través del modelo EUROSUR se incrementa el conocimiento de los jóvenes acerca del proceso de inmigración y se activan conductas interpersonales de auyda a los inmigrantes.     

Anisotropy analysis of pressed point processes

This paper introduces methods for the detection of anisotropies which are caused by compression of regular 3D point patterns. Isotropy tests based on directional summary statistics and estimators for the compression factor are developed. Using simulated data, the dependence of the power of these methods on the intensity, the degree of regularity, and the compression strength is studied. Finally, our methods are applied to the point patterns of centers of air pores extracted from tomographic images of ice cores. This way the presence of anisotropies in the ice caused by the compression of the ice sheet and an increase of their strength with increasing depth are shown.     

Tuning and Practicing the Therapeutic Instrument: The Therapist's Life Experience

This article views the therapeutic use of self broadly as if through a wide-angle lens focusing on the therapist within his or her surroundings. These contextual features can be seen as projections of the therapist's self and therefore useable in treatment. Through an interest in alternative brain functions due to her own struggles with a neurological illness, the author arrived at the idea of utilizing her personal interests which naturally come into the milieu as therapeutic vehicles. Personal interests that are compatible with the patient's character offer alternative modes for experiencing, expressing and regulating affect states. These interests in the expressive arts together with the person of the therapist constitute a medium for rotating attention around unfamiliar parts of the mental landscape. Disavowed or dissociated affects can be unearthed, made conscious, put into language, and treated. This idea in practice nests neatly within recent thinking in psychoanalysis, neuroscience, and the philosophy of science. When language alone is not enough to move the therapeutic process forward, other working knowledge in the therapist's life can be brought to bear as a powerful evocative force for therapeutic change.     

Small-sample comparisons for powerdivergence goodness-of-fit statistics for symmetric and skewed simple null hypotheses

Power-divergence goodness-of-fit statistics have asymptotically a chi-squared distribution. Asymptotic results may not apply in small-sample situations, and the exact significance of a goodness-of-fit statistic may potentially be over- or under-stated by the asymptotic distribution. Several correction terms have been proposed to improve the accuracy of the asymptotic distribution, but their performance has only been studied for the equiprobable case. We extend that research to skewed hypotheses. Results are presented for one-way multinomials involving k = 2 to 6 cells with sample sizes N = 20, 40, 60, 80 and 100 and nominal test sizes f = 0.1, 0.05, 0.01 and 0.001. Six power-divergence goodness-of-fit statistics were investigated, and five correction terms were included in the study. Our results show that skewness itself does not affect the accuracy of the asymptotic approximation, which depends only on the magnitude of the smallest expected frequency (whether this comes from a small sample with the equiprobable hypothesis or a large sample with a skewed hypothesis). Throughout the conditions of the study, the accuracy of the asymptotic distribution seems to be optimal for Pearson's X² statistic (the power-divergence statistic of index u = 1) when k > 3 and the smallest expected frequency is as low as between 0.1 and 1.5 (depending on the particular k, N and nominal test size), but a computationally inexpensive improvement can be obtained in these cases by using a moment-corrected h² distribution. If the smallest expected frequency is even smaller, a normal correction yields accurate tests through the log-likelihood-ratio statistic G² (the power-divergence statistic of index u = 0).     

Rao distance as a measure of influence in the multivariate linear model

Several methods have been suggested to detect influential observations in the linear regression model and a number of them have been extended for the multivariate regression model. In this article we consider the multivariate general linear model, Y = XB + k , which contains the linear regression model and the multivariate regression model as particular cases. Assuming that the random disturbances are normally distributed, the BLUE of v B is also normally distributed. Since the distribution of the BLUE of v B and the distribution of the BLUE of v B in the model with the omission of a set of observations differ, to study the influence that a set of observations has on the BLUE of v B , we propose to measure the distance between both distributions. To do this we use Rao distance.