Presurgical Coping, Depression, and Quality of Life in Persons with Parkinson's Disease

This study describes utilization of coping strategies and evaluates the interaction between coping strategies, depression, and quality of life (QOL) in patients with Parkinson's disease (PD) who are being considered for neurosurgical intervention. Eighty patients (mean age 61.7 years) with PD being evaluated for possible deep brain stimulation completed self-report instruments of coping strategies (Coping Responses Inventory), depression (Beck Depression Inventory), and disease-specific QOL (Parkinson's Disease Questionnaire-39). Analyses showed that patients with PD cope with the acute stressor of approaching neurosurgery through a variety of strategies, but particularly avoidant and behavioral strategies. When the correlated but apparently opposing effects of cognitive and behavioral strategies were teased apart, greater use of cognitive strategies was associated with more severe depressive symptomatology (and poorer QOL), while greater use of behavioral strategies appeared to be associated with less depression. Depressive symptomatology, in turn, was associated with poorer QOL. However, coping had minimal direct association with QOL. From this it was concluded that patients with advanced PD generate a variety of coping responses to an acute stressor such as surgery, and the use of behavioral strategies, in particular seeking of alternative enjoyable activities, may be associated with better mood if salutary effects are not overwhelmed by less helpful cognitive coping techniques. The minimization of depressive symptomatology, in turn, is associated with better QOL.     

Some Hindu Insights on a Global Ethic in the Context of Diseases and Epidemics

As we develop a global ethic in the context of diseases, we need to reconsider the wisdom of the religious traditions, for there is more to ailments than their material causes. In the Hindu framework, aside from the Ayurvedic system, which is based on herbal medicines and a philosophical framework, there is the insight that much of what we experience is a direct consequence of our karma (consequential actions). Therefore, here one emphasizes self–restraint and self–discipline in contexts that are conducive to self–hurting behavior.     

Consequences of Feeling Dissimilar from Others in a Work Team

This study extended the current literature on group diversity by examining the moderating influence of perceived group openness to diversity on the relationships between perceived individual visible, informational, and value dissimilarity; individual task and relationship conflict; and work group involvement. A survey was administered to 129 public service employees who worked in intact teams. Results revealed that value dissimilarity had a positive association with task and relationship conflict and a negative association with work group involvement. Perceived group openness to diversity moderated the associations between visible and informational dissimilarity and work group involvement, and between value dissimilarity and task conflict. These results highlight the importance of managing differences by introducing norms promoting diversity and the involvement of all team members.     

Configural Frequency Analysis in Applied Psychological Research

L'Analyse de Fréquence des Configurations (AFC) est une méthode de recherche des classes et anticlasses dans les classifications croisées de catégories de variables. Les classes sont des modèles de catégories de variables qui apparaissent plus souvent que le hasard ne le laisse supposes. Les anticlasses sont des modèles de catégorie de variables qui apparaissent moins souvent que le hasard ne le laisse supposes. On présente quatre applications d'AFC: l'AFC de premier ordre, l'AFC prédictive, l'AFC de symétrie axiale, et un modèle d'AFC longitudinale. On examine les caractéristiques de l'AFC en insistant sur les contraintes et l'applicabilité. On compare aussi l'AFC avec d'autres méthodes permettant l'analyse multivariée de catégories de données, en particulier la modèlisation log-linéaire. Des sorties informatiques sont traitées.
Configural Frequency Analysis (CFA) is a method for the search for types and antitypes in cross-classifications of categorical variables. Types are patterns of variable categories that occur more often than expected from chance. Antitypes are patterns of variable categories that occur less often than expected from chance. Four applications of CFA are reviewed: the First Order CFA, the Prediction CFA, Axial Symmetry CFA, and one model of Longitudinal CFA. Characteristics of CFA are discussed, focusing on constraints posed and applicability. Comparisons are made of CFA with other methods for multivariate analysis of categorical data, in particular, log-linear modelling. Computational issues are discussed.