Trajectory of change in anxiety sensitivity in relation to anxiety,depression, and quality of life among persons living with HIV/AIDS following transdiagnostic cognitive-behavioral therapy

ABSTRACT

Persons living with HIV/AIDS (PLHIV) disproportionately suffer from anxiety and depressive symptoms and disorders. Although past work has examined the efficacy of cognitive-behavioral therapy (CBT) for depression, and to a lesser extent anxiety, among PLHIV, little is known regarding potential mechanisms underlying improvement in anxiety/depression among this group. Anxiety sensitivity is a well-established risk/maintenance factor for anxiety and depressive disorders and is hypothesized to play an important role in maintaining anxiety among PLHIV. Past work has identified anxiety sensitivity as a mechanism of action underlying changes in various anxiety domains yet it is unknown whether changes in anxiety sensitivity relate to changes in anxiety symptoms among PLHIV undergoing transdiagnostic CBT for anxiety. The current study sought to examine treatment-related changes in anxiety sensitivity and how the trajectory of change relates to anxiety and depressive symptoms as well as overall quality of life. Individuals (n = 35) with HIV/AIDS and elevated anxiety symptoms received CBT for anxiety. Results indicated that reductions in anxiety sensitivity were significantly related to changes in anxiety, depression, and quality of life. Together, these data suggest that changes in anxiety sensitivity are significantly related to changes in anxiety/depression and quality of life among PLHIV seeking treatment.     

Pubertal status associations with reward and threat sensitivities and subcortical brain volumes during adolescence

Adolescence is characterized by complex developmental processes that impact behavior, biology, and social functioning. Two such adolescence-specific processes are puberty and increases in reward sensitivity. Relations between these processes are poorly understood. The present study focused on examining unique effects of puberty, age, and sex on reward and threat sensitivities and volumes of subcortical brain structures relevant for reward/threat processing in a healthy sample of 9–18 year-olds. Unlike age, pubertal status had a significant unique positive relationship with reward sensitivity. In addition, there was a trend for adolescent females to exhibit higher threat sensitivity with more advanced pubertal development and higher reward and threat sensitivity with older age. Similarly, there were significant puberty by sex interaction effects on striatal volumes, i.e., left nucleus accumbens and right pallidum. The present pattern of results suggests that pubertal development, independent of chronological age, is uniquely associated with reward hypersensitivity and with structural differences in striatal regions implicated in reward processing.     

Simplified approaches for multicriteria decision making under uncertainty

The problem of uncertainty in the outcome of decisions has tended to be glossed over by many MCDM methods, with the exception of multiattribute utility theory (MAUT). MAUT does, however, require quite complicated preference elicitations and knowledge of the full multivariate distribution of outcomes. Results from a series of simulation studies indicate that the preference orderings of MAUT are only minimally changed when using a simple additive aggregation of marginal utilities, especially in relation to the natural imprecisions inherent in preference elicitation. It is shown in the simulations that by far the most critical aspect of multicriteria decision analysis under uncertainty is not the form of aggregation, but the correct elicitation of marginal utilities which properly represent decision maker preferences over gambles. We relate the results obtained here to other results on the approximation of distributions by three- or five-point discrete distributions, and suggest that the use of deterministic MCDM methods of any form (not necessarily value function techniques), applied to an extended formulation in which each criterion measure is repeated for three or five ‘scenarios’, can be justified.     

A new conception of visual aesthetic sensitivity

Aesthetic sensitivity has been defined as the ability to recognize and appreciate beauty and compositional excellence, and to judge artistic merit according to standards of aesthetic value. The Visual Aesthetic Sensitivity Test (VAST) has often been used to assess this ability, but recent research has revealed it has several psychometric problems. Such problems are not easily remedied, because they reflect flawed assumptions inherent to the concept of aesthetic sensitivity as traditionally understood, and to the VAST itself. We introduce a new conception of aesthetic sensitivity defined as the extent to which someone's aesthetic valuation is influenced by a given feature. Experiment 1 aimed to characterize aesthetic sensitivity to four prominent features in visual aesthetics: complexity, symmetry, contour, and balance. Experiment 2 aimed to replicate the findings of Experiment 1 and to assess the test–retest reliability of an instrument designed to measure aesthetic sensitivity to these features using an abridged set of stimuli. Our results reveal that people differ remarkably in the extent to which visual features influence their liking, highlighting the crucial role of individual variation when modelling aesthetic preferences. We did not find clear relations between the four measures of aesthetic sensitivity and personality, intelligence, and art interest and knowledge. Finally, our measurement instrument exhibited an adequate-to-good test–retest reliability.     

Investigating the latent dimensions of posttraumatic stress disorder and the role of anxiety sensitivity in combat-exposed Filipino soldiers

ABSTRACT

Identifying the optimal factor structure of posttraumatic stress disorder (PTSD) has recently been reinvigorated in literature due to the substantial changes to its diagnostic criteria in the fifth revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). Currently, six models of PTSD are supported in literature, but there is no consensus on the best-fitting factor structure. Additionally, the extant literature examining the relationship between PTSD symptom-grouping and AS in the latent level has been scarce. The present study’s objectives are two-fold: first, we aimed to identify the best-fitted model of PTSD by comparing the six empirically-supported models, and; second, we examined the relationship between the best-fitting model with anxiety sensitivity (AS). Utilizing a sample of 476 combat-exposed soldiers, the results suggest that both the anhedonia and hybrid models provide the best fit to the data, with the anhedonia model achieving slightly better fit indices. Further, the examination on the influence of AS to PTSD reveal that while there is a pattern of decreasing factor loadings and factor correlations when accounting for AS, the changes are not significant to alter the PTSD symptom-structure. Based on these results, our findings suggest further investigation on the possible mediating or moderating mechanisms by which AS may influence PTSD.     

Finite Mixtures of Hidden Markov Models for Longitudinal Responses Subject to Drop out

Abstract

Drop out is a typical issue in longitudinal studies. When the missingness is non-ignorable, inference based on the observed data only may be biased. This paper is motivated by the Leiden 85+ study, a longitudinal study conducted to analyze the dynamics of cognitive functioning in the elderly. We account for dependence between longitudinal responses from the same subject using time-varying random effects associated with a heterogeneous hidden Markov chain. As several participants in the study drop out prematurely, we introduce a further random effect model to describe the missing data mechanism. The potential dependence between the random effects in the two equations (and, therefore, between the two processes) is introduced through a joint distribution specified via a latent structure approach. The application of the proposal to data from the Leiden 85+ study shows its effectiveness in modeling heterogeneous longitudinal patterns, possibly influenced by the missing data process. Results from a sensitivity analysis show the robustness of the estimates with respect to misspecification of the missing data mechanism. A simulation study provides evidence for the reliability of the inferential conclusions drawn from the analysis of the Leiden 85+ data.     

The spatial specificity of sensory attenuation for self-touch

Self-touch is sensed less intense as touch produced by another person. According to the standard explanation, if predicted and actual sensations match, the intensity of the touch will be reduced. Here, we asked whether sensory attenuation is spatially specific. To this end, participants laid their left hand under a metal arc on which a force sensor was mounted. Pressing the sensor caused one of two motors to rotate a lever that either touched the index or the ring finger. We took care that no cues would reveal in advance which of the motors would move in order to leave participants uninformed about the finger that will be stimulated. Any reduction in felt intensity of the touch could therefore be induced only by the efference copy of the touching movement. We found strong spatial specificity of sensory attenuation of self-touch, selecting between two fingers of the same hand.     

Beyond Consistency: Contextual Dependency of Language Style in Monolog and Conversation

Language is highly dynamic: It unfolds over time, and we can use it to achieve a wide variety of communicative goals, from telling a story to trying to persuade another person. One aspect of language that has gained increasing popularity among researchers in the last several decades is the individual language style (LS) represented by an individual’s use of function words (e.g., pronouns, articles). Previous approaches to LS mostly focus on LS of one individual in isolation, paying less attention to the fact that language emerges from interaction with others. The aim of this paper is twofold: First, we integrate LS into a dynamical theoretical framework and present an innovative methodological approach. Second, this paper aims to address how interactive conversation—as an aspect of the communicative setting—changes an individual’s LS. We use recurrence quantification analysis to look at structure in patterns of LS in monologs and conversations of 118 participants. Our results showed that LS significantly differs from monolog to conversation, and post hoc analyses further revealed that the change in LS is greater for conflict than for friendly conversations. The difference between monologs and conversations is reflected more strongly in the dynamics (i.e., structure and complexity) of LS than the proportion of function words used. Theoretical implications and directions for future studies are discussed.