The relationship between comorbid personality disorders and treatment received in patients with anxiety disorders

Few studies have addressed the relationship between the presence of a comorbid personality disorder and the amount of psychiatric treatment received by patients with an Axis I disorder. This issue has not been studied in patients with anxiety disorders. In a prospective, naturalistic, longitudinal study of anxiety disorders, 526 subjects were assessed with the Personality Disorder Examination, and types of treatment received in 1991 and 1996 were identified. In 1991, compared to subjects without a personality disorder, subjects with a personality disorder were as likely to receive medication and they received a greater number of medications. Subjects with borderline personality disorder were more likely to receive heterocyclic antidepressants and interventions characteristic of psychodynamic psychotherapy and cognitive therapy; they also reported receiving a greater number of medications and types of psychosocial treatment than other subjects. In 1996, subjects with borderline personality disorder were more likely to receive psychodynamic interventions. These findings suggest that in patients with an anxiety disorder, the presence of a comorbid personality disorder is associated with receiving a greater number of medications but not with a greater likelihood of receiving pharmacologic or psychosocial treatment. However, the presence of borderline personality disorder is associated with a greater likelihood of receiving, and receiving a greater number of, certain types of somatic and psychosocial treatments.     

Reduced attentional focus and the influence on expert anticipatory perception

The anticipatory memory encodings of expert and novice basketball players were examined under conditions of both full (attended condition) and reduced (unattended condition) attention (see also Gorman, Abernethy, & Farrow in Attention, Perception, & Psychophysics, 75, 835–844, 2013a). Participants completed a typical pattern recall task using dynamic playing sequences from basketball, and their responses were compared to both the original target pattern as well as to the series of patterns that occurred immediately after and immediately before the target image. The latter had not previously been employed in a pattern recall task when examining the anticipatory encoding of pattern information. Results revealed that the overall extent of the forward displacement for both the attended and unattended patterns was generally significantly greater for the experts, with the expert advantage tending to be most prominent for the attacking patterns. The novel addition of both forward and backward scenes may provide a more precise measure of the anticipatory effect, suggesting that future research in this domain should use a similar methodological design.     

Representing,Running, and Revising Mental Models: A Computational Model

People use commonsense science knowledge to flexibly explain, predict, and manipulate the world around them, yet we lack computational models of how this commonsense science knowledge is represented, acquired, utilized, and revised. This is an important challenge for cognitive science: Building higher order computational models in this area will help characterize one of the hallmarks of human reasoning, and it will allow us to build more robust reasoning systems. This paper presents a novel assembled coherence (AC) theory of human conceptual change, whereby people revise beliefs and mental models by constructing and evaluating explanations using fragmentary, globally inconsistent knowledge. We implement AC theory with Timber , a computational model of conceptual change that revises its beliefs and generates human‐like explanations in commonsense science. Timber represents domain knowledge using predicate calculus and qualitative model fragments, and uses an abductive model formulation algorithm to construct competing explanations for phenomena. Timber then (a) scores competing explanations with respect to previously accepted beliefs, using a cost function based on simplicity and credibility, (b) identifies a low‐cost, preferred explanation and accepts its constituent beliefs, and then (c) greedily alters previous explanation preferences to reduce global cost and thereby revise beliefs. Consistency is a soft constraint in Timber ; it is biased to select explanations that share consistent beliefs, assumptions, and causal structure with its other, preferred explanations. In this paper, we use Timber to simulate the belief changes of students during clinical interviews about how the seasons change. We show that Timber produces and revises a sequence of explanations similar to those of the students, which supports the psychological plausibility of AC theory.     

Were the “Pioneer” Clinical Ethics Consultants “Outsiders”? For Them,Was “Critical Distance” That Critical?

“Clinical ethics consultants” have been practicing in the United States for about 50 years. Most of the earliest consultants—the “pioneers”—were “outsiders” when they first appeared at patients' bedsides and in the clinic. However, if they were outsiders initially, they acclimated to the clinical setting and became “insiders” very quickly. Moreover, there was some tension between traditional academics and those doing applied ethics about whether there was sufficient “critical distance” for appropriate reflection about the complex medical ethics dilemmas of the day if one were involved in the decision making. Again, the pioneers deflected concerns by identifying and instituting safeguards to assure professional objectivity in clinical ethics consultation services. One might suggest that in moving inside and establishing normative practices, the pioneer clinical ethics consultants anticipated adoption of their routines and professionalization of the field.     

Toward the development of a feature-space representation for a complex natural category domain

This article reports data sets aimed at the development of a detailed feature-space representation for a complex natural category domain, namely 30 common subtypes of the categories of igneous, metamorphic, and sedimentary rocks. We conducted web searches to develop a library of 12 tokens each of the 30 subtypes, for a total of 360 rock pictures. In one study, subjects provided ratings along a set of 18 hypothesized primary dimensions involving visual characteristics of the rocks. In other studies, subjects provided similarity judgments among pairs of the rock tokens. Analyses are reported to validate the regularity and information value of the dimension ratings. In addition, analyses are reported that derive psychological scaling solutions from the similarity-ratings data and that interrelate the derived dimensions of the scaling solutions with the directly rated dimensions of the rocks. The stimulus set and various forms of ratings data, as well as the psychological scaling solutions, are made available on an online website (https://osf.io/w64fv/) associated with the article. The study provides a fundamental data set that should be of value for a wide variety of research purposes, including: (1) probing the statistical and psychological structure of a complex natural category domain, (2) testing models of similarity judgment, and (3) developing a feature-space representation that can be used in combination with formal models of category learning to predict classification performance in this complex natural category domain.     

Interaction Effects of Neighborhood Disadvantage and Individual Social Support on Frequency of Alcohol Use in Youth Living with HIV

Youth living with HIV (YLH) experience multiple disease‐related stresses along with the same structural and developmental challenges faced by their uninfected peers; alcohol use among YLH represents a risk behavior by virtue of potential effects on youth health and increased likelihood of engaging in unprotected sex while drinking alcohol. Research aimed at better understanding the interplay of individual‐ and neighborhood‐level influences on alcohol use for YLH is needed to inform interventions. This study examined whether socioeconomic disadvantage (SED) and social support influence, independently and through interaction, alcohol use in YLH. Data from the Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN) consisted of YLH across 538 neighborhoods in the United States who acquired HIV behaviorally. Neighborhood‐specific data were compiled from the 2010 U.S. Census Bureau and matched with individual‐level data from the ATN (N = 1,357) to examine effects that contribute to variation in frequency of alcohol use. Other drug use, being male, being non‐Black, and older age were associated with greater alcohol use. Higher social support was negatively associated with alcohol use frequency. A cross‐level interaction indicated that the association found between decreasing social support and increasing alcohol use frequency was weakened in areas with lower SED. Implications are discussed.     

Harmonious passions support cognitive resources

Passionate activities can be a source of pleasure and meaning. According to the Dualistic Model of Passion individuals can have either a harmonious or an obsessive passion for an activity. Where harmonious passions provide positive emotional experience, obsessive passions do not. Fredrickson’s broaden-and-build theory holds that ongoing positive experience have general and lasting cognitive benefits; accordingly this should accrue more strongly to those reporting harmonious passions. In a survey (N = 141), we examined self-reported attention, executive functioning, and life quality and contrast these by individuals’ passion orientation. In a cross-sectional survey we found that harmoniously passionate individuals differed from the obsessively passionate across questionnaire measures of attention, executive functioning, and life quality. We find that these differences correspond well to that which would be predicted on the basis of the broaden-and-build theory, however the observed effects are not large and do not correspond to clinical differences.     

The importance of understanding: Model space moderates goal specificity effects

The three-space theory of problem solving predicts that the quality of a learner's model and the goal specificity of a task interact on knowledge acquisition. In Experiment 1 participants used a computer simulation of a lever system to learn about torques. They either had to test hypotheses (nonspecific goal), or to produce given values for variables (specific goal). In the good- but not in the poor-model condition they saw torque depicted as an area. Results revealed the predicted interaction. A nonspecific goal only resulted in better learning when a good model of torques was provided. In Experiment 2 participants learned to manipulate the inputs of a system to control its outputs. A nonspecific goal to explore the system helped performance when compared to a specific goal to reach certain values when participants were given a good model, but not when given a poor model that suggested the wrong hypothesis space. Our findings support the three-space theory. They emphasize the importance of understanding for problem solving and stress the need to study underlying processes.