Somatosensory amplification as a possible source of subjective symptoms behind modern health worries

The theoretically hypothesized connection between modern health worries (MHWs) and somatosensory amplification (SSA), as well as the factor structure of the Hungarian version of the MHW scale were investigated in a cross-sectional questionnaire study. A total of 163 university students (mean age = 21.3± 2.70 yrs; 44.2% male) and 145 patients (mean age = 49.4±17.51 yrs; 31.7% male) visiting their general practitioners (GPs) completed questionnaires assessing MHWs, SSA, subjective somatic symptoms (PHQ-15), and trait anxiety (STAI-T). The previously described four-factor structure of the MHW scale was confirmed using confirmatory factor analysis (CFA). In the linear regression analysis, participants' age and SSA scores were positively related to MHWs even after controlling for gender, anxiety, and subjective somatic symptom scores. The conclusions are that: MHWs are indicators of cognitive, behavioral and social level of sensitization for health-related concerns; SSA can provide the somatic background process for generation and/or misattribution of subjective somatic symptoms; better understanding of the cognitive-emotional background of MHWs could help to determine possible interventions.     

On the construction of thinking

In this study the author attempts to widen our understanding of language and thought construction by using Chinese ideograms as a model. This allows us to understand how concrete internal objects can coalesce to form abstract internal objects, e.g. concepts, ideas, symbols, and metaphors. One can establish a pictorial language that antedates verbal language. This is the case in the dream work that we routinely study. Thus, this study delves into the physiology of the alpha function. To this end the author not only relies on psychoanalytic concepts but also on concepts from philosophy and from language itself. The author presents the ideograms not only for discussion but also for their visual impact. If we really want to understand pictorial images, they must be seen and not just discussed from a theoretical point of view. Based on this understanding the author advances a proposal for the technique used in treating patients who cannot establish mental representations for their affect. And the technical proposal is illustrated in two clinical cases.     

Les effets de l’ingestion aiguë d’alcool sur le jugement d’expressions faciales émotionnelles spontanées et dynamiques

This study is interested in the link between acute alcohol consumption and the perception of dynamic and spontaneous emotional facial expressions (EFE). The noxious effects of alcohol on EFE recognition are now well demonstrated (Attwood et al., 2009a). Studies showed that alcohol drinking impairs the judgment of facial expressions, especially of negative ones (EFE of anger and disgust notably). However, such effects have been observed for the judgment of artificial material (static/posed/morphed/EFE). Yet, everyday EFE are far from the archetypes used in the lab. Therefore, the present study aims at completing previous observations, this time for the identification of dynamic and spontaneous EFE. Dynamic and spontaneous EFE of amusement, interest, irritation, anxiety, and neutral were judged by 63 normal male drinkers. Buck et al.’s (1972) paradigm was adopted since it is recommended for the study of nonverbal behavior in the process of communication ( [Buck, 1990] , [Wagner, 1990] , [Wagner et al., 1986] and [Zuckerman et al., 1976] ). The emotion to be identified is the one self-reported by the EFE sender. On the pretext of tasting drinks, participants were randomly assigned to one out of six experimental conditions. Two conditions are concerned with the nature of the drink (alcohol or non-alcohol drink). Three other conditions relate to the participant's experimentally manipulated belief regarding the nature of the drink (non-alcohol drink, slight alcohol drink, hard alcohol drink). Results confirm the emotion identification impairment due to alcohol usually noted, thus showing that the effects of alcohol are also observed for the perception of spontaneous and natural facial expressions. Indeed, the comparison of participants who drank alcoholic drinks versus those who did not drink alcohol shows that the formers identify less well emotions than the latter. Moreover, results show that beliefs do not play a role in this deficit since participants’ identification errors are not linked to the belief they hold regarding the nature of the drink (with/without alcohol). Finally, the confusion matrix analysis brings to light the existence of recurrent confusions amongst alcoholized participants, confusions that do not appear amongst sober participants. Thus, results show that, to the exception of EFE of amusement, participants who drank alcohol recurrently assess stimuli as displaying anxiety. To conclude, it comes out that acute alcohol drinking alters the capacity to accurately identify spontaneous emotions expressed by faces, which capacity is essential to the smooth unfolding of human interactions.     

Can low Behavioral Activation System predict depressive mood?: An application of non‐normal structural equation modeling

Previous studies have reported a negative correlation between the Behavioral Activation System (BAS) and the depressive mood. However, which is the cause and which is the effect cannot be determined simply by evaluating the correlation coefficients. In a series of this study, we used non‐normal structural equation modeling, which could provide a statistically plausible answer to the question on the path direction. We tested for the path direction between the variables of interest by statistically comparing all possible models. The models assuming a unidirectional path from the BAS to the depressive mood were consistently supported. This suggested that low BAS could be a predisposition to developing the depressive mood. These findings could enhance our understanding of the mechanism underlying the development of the depressive mood.     

Modern Regression Methods that can Substantially Increase Power and Provide a more Accurate Understanding of Associations

During the last half century, hundreds of papers published in statistical journals have documented general conditions where reliance on least squares regression and Pearson's correlation can result in missing even strong associations between variables. Moreover, highly misleading conclusions can be made, even when the sample size is large. There are, in fact, several fundamental concerns related to non‐normality, outliers, heteroscedasticity, and curvature that can result in missing a strong association. Simultaneously, a vast array of new methods has been derived for effectively dealing with these concerns. The paper (i) reviews why least squares regression and classic inferential methods can fail, (ii) provides an overview of the many modern strategies for dealing with known problems, including some recent advances, and (iii) illustrates that modern robust methods can make a practical difference in our understanding of data. Included are some general recommendations regarding how modern methods might be used. Copyright © 2011 John Wiley & Sons, Ltd.     

NON‐VIOLENCE AND NONHUMANS: Foundations for Animal Welfare in the Thought of Mohandas Gandhi and Albert Schweitzer

This essay explores how the principles of ahimsa and reverence for life provide a foundation for animal welfare in the thought of Mohandas Gandhi and Albert Schweitzer, respectively. This exploration unfolds through a consideration of the contextual background of both thinkers, the scope of life to which they apply their respective principles, and both the ethical ramifications and limitations of this application. Within this common framework, the author delineates the striking commonalities and the significant disparities between Gandhi and Schweitzer. This comparison opens a common space within which ecologically‐minded Hindus and Christians can dialogue, augmenting each other's positions by drawing on respected thinkers in their traditions. It also provides an opportunity, within the tensions highlighted at the intersection of Gandhi and Schweitzer's thought, to further construct a foundation for animal welfare in contemporary discussions.     

The development of emotion recognition from facial expressions and non‐linguistic vocalizations during childhood

Sensitivity to facial and vocal emotion is fundamental to children's social competence. Previous research has focused on children's facial emotion recognition, and few studies have investigated non‐linguistic vocal emotion processing in childhood. We compared facial and vocal emotion recognition and processing biases in 4‐ to 11‐year‐olds and adults. Eighty‐eight 4‐ to 11‐year‐olds and 21 adults participated. Participants viewed/listened to faces and voices (angry, happy, and sad) at three intensity levels (50%, 75%, and 100%). Non‐linguistic tones were used. For each modality, participants completed an emotion identification task. Accuracy and bias for each emotion and modality were compared across 4‐ to 5‐, 6‐ to 9‐ and 10‐ to 11‐year‐olds and adults. The results showed that children's emotion recognition improved with age; preschoolers were less accurate than other groups. Facial emotion recognition reached adult levels by 11 years, whereas vocal emotion recognition continued to develop in late childhood. Response bias decreased with age. For both modalities, sadness recognition was delayed across development relative to anger and happiness. The results demonstrate that developmental trajectories of emotion processing differ as a function of emotion type and stimulus modality. In addition, vocal emotion processing showed a more protracted developmental trajectory, compared to facial emotion processing. The results have important implications for programmes aiming to improve children's socio‐emotional competence.     

Model and interactive algorithm of bi‐level multi‐objective decision‐making with multiple interconnected decision makers

Furthering a prior research on two‐person bi‐level multi‐objective decision‐making problems of the leader‐follower Stackelberg game, we present an extended model of bi‐level multi‐objective decision‐making with multiple interconnected decision makers at the lower level. In the model, the upper level decision maker acts as a leader and the lower level decision makers behave as the followers, and inter‐connections and interactions exist among these followers in decision‐making scenarios. Following the rules of leader‐follower Stackelberg game, we develop an interactive algorithm of the model for solving multi‐objective decision‐making problems and reflecting the interactive natures among the decision makers. Finally, the authors exemplify the model and algorithm, and draw a conclusion on points of contributions and the significance of this study in decision‐making and support. Copyright © 2001 John Wiley & Sons, Ltd.     

Verbal and practical intelligence in general anxiety,obsessive compulsive and major depression disorders

IntroductionPrevious researches have shown that anxiety symptoms are negatively associated with measures of intelligence. However, recent findings indicate possible positive relationships between Generalized Anxiety Disorders (GAD) and intelligence. Also, Obsessive Compulsive Disorder (OCD) is associated with a moderate degree of underperformance on cognitive tests, including deficient processing. There are inconsistent results to present the relationship between Major Depression Disorder (MDD) and IQ. The present study has three main aims. The first aim of this study is to investigate the difference between IQ in individuals with GAD, OCD and major depressive disorder, and normal group. The second purpose is to perform a comparative study between the GAD, OCD and MDD groups on verbal and non-verbal intelligence. The third aim of this study is to examine the relationships between GAD, OCD and MDD as well as their underlying cognitive processes, including worry, rumination, and post-event processing, with verbal and non-verbal intelligence.ObjectiveThe present study is performed on four groups of participants including those with GAD, OCD, MDD and Healthy Volunteer (HV) group consisting of individuals without psychiatric disorders.MethodThe number of 50 healthy volunteers as the control group, 45 patients with GAD, 20 patients with OCD and 25 patients with MDD (n = 140) were selected as the case-referent groups. The present study was a cross-sectional type and the research was performed based on the causal-comparative method. Verbal and non-verbal intelligence was measured with the Wechsler Adult Intelligence Scale-3rd edition (WAIS-III). Rumination and post-event processing were measured by PSWQ, RRS-BR, and PEPQ, respectively.ResultsThe results indicate that Verbal Intelligence and Verbal Comprehension Index in GAD patients have significant differences in comparison to the OCD, MDD and control groups. While, the value of the Working Memory Index (WMI) in the normal group is higher than the value of the same index in the GAD, OCD and MDD groups. Also, the values of the Processing Speed Index (PSI) in normal and GAD groups are higher than the OCD and MDD groups. The worry, rumination, and post-event processing in patients with GAD are positively correlated with general and verbal intelligence. But, verbal and non-verbal intelligence had a negative correlation with worry, rumination and post-event processing in healthy volunteers.ConclusionInvestigation of the possible connections between intelligence and the cognitive processes underlying emotional disorders can provide therapeutic strategies for smart individuals who are at risk for GAD.