Examining adversarial growth in illness: The factor structure of the silver lining questionnaire (SLQ-38)

The Silver Lining Questionnaire (SLQ-38) is purported to measure 10 aspects of adversarial growth in illness. To date however, no empirical evidence exists to support this claim. Hence the aim of this study was to investigate the factor structure of the SLQ-38 in a sample of 560 individuals with multiple sclerosis (MS), cancer, cardiac, and renal disease. The results demonstrate that 24 SLQ-38 items can be factored into five subscales: improved personal relationships, greater appreciation for life, positive influence on others, personal inner strength and changes in life philosophy, all of which are in accordance with the literature on adversarial growth. Individuals with MS experienced lower adversarial growth compared to other illness groups. Gender, age and time since diagnosis were unrelated to adversarial growth in illness. The utility of the revised SLQ-38 is discussed along with suggestions for future research on the convergent and divergent validity of this revised instrument.     

Family Therapy With Irish-Americans

This paper presents a paradigm for understanding the cultural values and family patterns of Irish-American families and offers suggestions for clinical intervention. Families' correspondence to the model described will depend upon their level of acculturation, socioeconomic status, and other contextual factors. The paradigm suggests a number of issues that may create difficulties for the therapist and for the family in therapy. In general, behavioral techniques, Bowen systems therapy, and strategic interventions may be more useful than techniques emphasizing expression of emotions in therapy or direct attempts to alter communication or family behavior in therapy sessions, as used in structural therapy.     

Does experienced pain affects local brain volumes? Insights from a clinical acute pain model

Background/Objective:To study pain-brain morphometry associations as a function of post-surgery stages (anesthesia, pain and analgesia) in an acute pain model. Method:Impacted mandible third molar were extracted. Before surgery, an anatomical T1 scan was obtained. Regional brain volumen and subcortical nuclei shapes were obtained. Statistical analyses were done using multiple regression, being pain scores the predictors and voxel volumes, subcortical nuclei volumes and subcortical nuclei shapes, the outcomes. Results:Pain was significantly larger at pain than at anesthesia and analgesia stages, and was higher during anesthesia than during analgesia. Pain intensity was related to grey matter in several cortical (Insula, Mid Frontal and Temporal Gyruses, Precuneus, Anterior Cingulate), and subcortical nuclei (Hippocampus, Thalamus, Putamen, Amygdala), depending of the post-surgical stage. A larger number of brain areas showed significance at pain that at anesthesia and analgesia stages. Conclusions:The relationships of regional brain volumes and subcortical nuclei shapes with pain scores seemed to be unsteady, as they changed with the patient's actual pain stage.     

Lymphocyte subsets, cardiovascular measures and anxiety state before and after a professional examination

Controversies exist regarding the impact of psychological stress on the functioning of the immune system in humans. The aim of the present study, therefore, was to evaluate whether the condition of a pre-exam stress may or not modify resting lymphocyte subsets, as well as blood pressure and heart rate. About 22 medical residents of both sexes not suffering from any medical or psychiatric disorder were included in the study. Anxiety levels were measured by means of the Hamilton rating scale for anxiety (HRSA) and anxiety traits by means of the panic-agoraphobic spectrum self-report (PAS-SR) version and the obsessive-compulsive spectrum self-report (OBS-SR) version. The results showed that systolic blood pressure and heart rate increased significantly just before sitting an examination (t(1)) in all subjects, as compared with a calm situation (t(2)), in parallel with the increase in the HRSA total score, while no significant difference was observed in lymphocyte subsets at the two assessment times. However, men had a higher number of CD4+ cells than women at t(1) and t(2), while women showed a higher heart rate at t(1). In addition, significant correlations between CD4+ lymphocyte count and heart rate at t(1) or HRSA at t(2) were detected. These findings indicate that the acute stress determined by sitting for examination provokes changes in autonomic nervous system parameters, such as blood pressure and heart rate, as well as in the subjective feeling of anxiety, as shown by the increased HRSA total scores, which were not paralleled by modifications of lymphocyte subsets. However, individual differences, related to both sex and personality traits yet to be identified, seem to have an impact in shaping the stress response.     

MEASUREMENT ERROR IN RESEARCH ON HUMAN RESOURCES and FIRM PERFORMANCE: HOW MUCH ERROR IS THERE AND HOW DOES IT INFLUENCE EFFECT SIZE ESTIMATES?

Studies of the relationship between human resource (HR) practices and firm performance typically use a single respondent to assess firm level HR practices or HR effectiveness. However, previous research in other substantive areas suggests that rater differences are a potentially important source of measurement error. We demonstrate analytically the potential consequences of both random and systematic measurement error in research on HR and firm performance. However, our main focus is on random error and we show how generalizability theory can be applied to obtain better estimates of reliability by simultaneously recognizing multiple sources (e.g., items, raters) of random measurement error. These more inclusive reliability estimates, in turn, offer the possibility of more precisely quantifying substantive relationships in the HR and firm performance literature. In our sample, reliabilities (as estimated by generalizability coefficients) for single-rater assessments of HR variables were generally below .50. This degree of measurement error, if present in substantive studies on HR and firm performance, could lead to considerable bias, given that an unstandardized regression coefficient is corrected for measurement error in the independent variable by dividing by its reliability coefficient (not its square root). We also found only limited convergent validity between HR and line managers ratings of a second type of HR measure, HR effectiveness. In general, our findings suggest that future researchers need to devote greater attention to measurement error and construct validity issues. Our study provides an example of how generalizability theory can be useful in this pursuit.     

Semantic priming in the prime task effect: Evidence of automatic semantic processing of distractors

The automaticity of the semantic processing of words has been questioned because of the reduction of semantic priming when the prime word is processed nonsemantically--for example, in letter search (the prime task effect). In two experiments, prime distractor words produced semantic priming in a subsequent lexical decision task, but with the direction of priming (positive or negative) depending on the prime task. Lexico-semantic tasks produced negative semantic priming, whereas letter search produced positive semantic priming. These results are discussed in terms of task-based inhibition. We argue that, given the results from the distractors, the absence of semantic priming does not indicate an absence of semantic activation but reflects the action of control processes on prepotent responses when less practiced responses are needed.     

Risk behaviour and mental workload: Multimodal assessment techniques applied to motorbike riding simulation

We present data from an ongoing research project on the cognitive, emotional and neuropsychological basis of risk behaviour. The main aim of the project is to build a model of risk behaviour so that if we know certain cognitive, behavioural and emotional variables, we will be able to predict decisions made in the face of uncertainty and risk, with the final goal of designing programs for evaluating, preventing and controlling risk behaviour. The objective of the present study was to look for individual differences in hazard perception during a static riding simulation and their relationship with mental workload. We used a multidimensional methodology, including behavioural, subjective and physiological data. The behavioural measures were obtained in a static riding simulation during eight hazard situations. We evaluated whether eye activity measures correlated with cognitive workload and different types of risky behaviours. Eye movement parameters were measured using a video-based eye tracking system. We found that risk-prone individuals showed specific patterns of risky behaviours and that peak of saccadic velocity and subjective mental workload indexes were both reliable indicators of risk proneness. Mental workload was higher for participants showing attitudes to risk behaviours probably because of a lack of conscious awareness of specific cues indicating dangerous scenarios.     

Cognitive biases in human causal learning

The main aim of this work was to look for cognitive biases in human inference of causal relationships in order to emphasize the psychological processes that modulate causal learning. From the effect of the judgment frequency, this work presents subsequent research on cue competition (overshadowing, blocking, and super-conditioning effects) showing that the strength of prior beliefs and new evidence based upon covariation computation contributes additively to predict causal judgments, whereas the balance between the reliability of both, beliefs and covariation knowledge, modulates their relative weight. New findings also showed "inattentional blindness" for negative or preventative causal relationships but not for positive or generative ones, due to failure in codifying and retrieving the necessary information for its computation. Overall results unveil the need of three hierarchical levels of a whole architecture for human causal learning: the lower one, responsible for codifying the events during the task; the second one, computing the retrieved information; finally, the higher level, integrating this evidence with previous causal knowledge. In summary, whereas current theoretical frameworks on causal inference and decision-making usually focused either on causal beliefs or covariation information, the present work shows how both are required to be able to explain the complexity and flexibility involved in human causal learning.