Positive and negative affect and well-being in cardiac patients and their spouses: the mediating role of illness representations

Objective: The aim of this study was to examine whether illness representations of control and consequences mediate the relation of cardiac patients’ affect to well-being. A further aim was to examine this indirect relationship at a dyadic level (i.e. patient and spouse). Design and main outcome measures: One hundred and four patients with a cardiovascular disease and their spouses participated in the study. Positive and negative affect was assessed at baseline; illness representations were assessed 2 months later, and physical and psychological well-being 4 months later. Results: Illness representations generally mediated the impact of patients’ and spouses’ affect on well-being, while several actor and partner effects were found. However, it was only positive affect that was indirectly related to well-being, while the representations of personal and treatment control chiefly acted as mediators. The effects were stronger for patients than spouses, as well as for physical well-being. Conclusion: The results underline the strong connection between illness-related self-regulation and the overall person/environment interaction as depicted by affect. They also indicate the need to integrate theories on adaptation to illness, with models describing adaptation of couples to stressful conditions, and specific theories about the role of emotion in adaptation to illness.     

An evolutionary system for neural logic networks using genetic programming and indirect encoding

Nowadays, intelligent connectionist systems such as artificial neural networks have been proved very powerful in a wide area of applications. Consequently, the ability to interpret their structure was always a desirable feature for experts. In this field, the neural logic networks (NLN) by their definition are able to represent complex human logic and provide knowledge discovery. However, under contemporary methodologies, the training of these networks may often result in non-comprehensible or poorly designed structures. In this work, we propose an evolutionary system that uses current advances in genetic programming that overcome these drawbacks and produces neural logic networks that can be arbitrarily connected and are easily interpretable into expert rules. To accomplish this task, we guide the genetic programming process using a context-free grammar and we encode indirectly the neural logic networks into the genetic programming individuals. We test the proposed system in two problems of medical diagnosis. Our results are examined both in terms of the solution interpretability that can lead in knowledge discovery, and in terms of the achieved accuracy. We draw conclusions about the effectiveness of the system and we propose further research directions.     

Modeling the role of emotions in viewing oneself maturely

Adolescents develop a mature view on themselves: they view positive as well as negative self-attributes, but they hold a positive stance toward themselves. The literatures on identity, the self, parent-offspring relationships, and friendships provide hints on how such a view may develop. This article integrates this literature into an emotion-based dynamic systems mathematical model built to explain the development of maturity of such views. An innovative methodological design was used to collect empirical data: four students daily reported their experiences and emotions for a period of 5 months, while they temporarily studied abroad. At the beginning and end of this period, they were interviewed on their views on themselves. These mostly qualitative data were used to provide support to the suggested mathematical model. The usefulness, weaknesses, and strengths of such a methodological design and mathematical modeling are discussed.     

Evaluating treatment effects in single-subject behavioral experiments using quality-control charts

Quality-control charts can be particularly useful in identifying treatment effects and patterns of behaviors in single-subject behavior-analytic experiments that cannot be determined by visual inspection of their graphs. Using an example from the behavior analysis literature the quality-control charts identified the presence of treatment effects across phases as well as the presence of trends within and between phases. The ease of their calculations suggest use of them by behavior analysts whenever the effects of particular interventions are questionable.     

Social cognition and real-life functioning in patient samples with 22q11.2 deletion syndrome with or without psychosis,compared to a large sample of patients with schizophrenia only and healthy controls

Patients with the 22q11.2 deletion syndrome (DS) show an increased risk of developing a psychotic illness lifetime. 22q11.2DS may represent a reliable model for studying the neurobiological underpinnings of schizophrenia. The study of social inference abilities in a genetic condition at high risk for psychosis, like 22q11.2DS, may shed light on the relationships between neurocognitive processes and patients' daily general functioning. The study sample consisted of 1736 participants, divided into four groups: 22q11.2DS patients with diagnosis of psychotic disorder (DEL SCZ, N = 20); 22q11.2DS subjects with no diagnosis of psychosis (DEL, N = 43); patients diagnosed with schizophrenia without 22q11.2DS (SCZ, N = 893); and healthy controls (HC, N = 780). Social cognition was assessed through The Awareness of Social Inference Test (TASIT) and general functioning through the Specific Levels of Functioning (SLoF) scale. We analysed data through regression analysis. The SCZ and DEL groups had similar levels of global functioning; they both had significantly lower SLoF Total scores than HC (p < .001); the DEL SCZ group showed significantly lower scores compared to the other groups (SCZ, p = .004; DEL, p = .003; HC, p < .001). A significant deficit in social cognition was observed in the three clinical groups. In the DEL SCZ and SCZ groups, TASIT scores significantly predicted global functioning (p < .05). Our findings of social cognition deficit in psychosis-prone patients point to the possible future adoption of rehabilitation programmes, like Social Skills Training and Cognitive Remediation, during premorbid stages of psychosis.     

Does differential social support cause sex differences in bereavement outcome?

A study of a sample of bereaved and married individuals tested the prediction from stress theory that sex differences in bereavement outcome are due to differences in social support extended to the bereaved. Previous research had established that compared to same‐sex married controls, widowers suffer greater health deterioration following the death of a spouse than widows. Although there is some evidence that widows receive more social support than widowers, it has never been tested empirically whether differential social support is responsible for the sex difference in bereavement outcome. Two sets of tests were conducted to examine these hypotheses: first, sex differences in bereavement outcome and in the social support perceived by the bereaved were assessed by means of sex×marital status ANOVAs on depressive symptomatology, loneliness and social support; second, an ANCOVA was used to assess whether the marital status×sex interaction on distress was substantially reduced or eliminated when social support was used as a covariate. Although there was evidence of the expected sex differences in bereavement outcome and social support, there was no evidence that social support mediates the sex differences in bereavement outcome. Copyright © 1999 John Wiley & Sons, Ltd.     

Familiarity and relational preference in the understanding of noun-noun compounds

When people are presented with noun-noun compounds, they tend to produce two main types of interpretation: relational and property interpretations. One theory of compounding maintains that relational interpretations are preferred over property ones. However, many of the studies supporting this relational preference hypothesis appear to be vitiated by a failure to control for the familiarity of compounds. A rating study on so-called "novel" compounds used in previous studies is reported, which shows that many can be considered to be familiar. Then two experiments in which familiarity is controlled are presented, to test the relational preference hypothesis, using a sensibility judgment task (Experiment 1) and a comprehension judgment task (Experiment 2). The results show that familiarity has a clear effect on the ease of understanding of noun-noun compounds but that there is no hard evidence for relational preference. The implications of these results for the empirical literature and for current theories are discussed.     

Predicting Academic Dishonesty on National Examinations: The Roles of Gender,Previous Performance,Examination Center Change,City Change,and Region Change

The purpose of the present studies was to evaluate and predict academic cheating with regard to a national examination in a Middle East country. In Study 1, 4,024 students took part and potential cheaters were classified as those having discrepant scores in multiple administrations that exceeded 1 SD in absolute terms. A latent class mixture analysis suggested two pathways for potential cheating: (a) The first path involved students—most male—who changed city or region of examination during test taking, and (b) the second path described students—most male—who did not change city, region, or center of administration. Study 2 profiled cheaters using a sample of examinees who were actually caught cheating. Participants were 545 students, 253 of whom were caught cheating between 2002 and 2012. Both samples were selected from a pool of 319,219 testees using random sampling procedures. Results indicated that a 4-class solution best fitted the data as in Study 1. Furthermore, a predictive model was tested with an independent cross-validation sample of 112 examinees (56 cheaters, 56 noncheaters). Results indicated that the model classified correctly 78.57 of the new cheating cases (sensitivity) and 94.64% of noncheaters (specificity).