Habitual starvation and provocative behaviors: Two potential routes to extreme suicidal behavior in anorexia nervosa

Anorexia nervosa (AN) is perhaps the most lethal mental disorder, in part due to starvation-related health problems, but especially because of high suicide rates. One potential reason for high suicide rates in AN may be that those affected face pain and provocation on many fronts, which may in turn reduce their fear of pain and thereby increase risk for death by suicide. The purpose of the following studies was to explore whether repetitive exposure to painful and destructive behaviors such as vomiting, laxative use, and non-suicidal self-injury (NSSI) was a mechanism that linked AN-binge-purging (ANBP) subtype, as opposed to AN-restricting subtype (ANR), to extreme suicidal behavior. Study 1 utilized a sample of 787 individuals diagnosed with one or the other subtype of AN, and structural equation modeling results supported provocative behaviors as a mechanism linking ANBP to suicidal behavior. A second, unexpected mechanism emerged linking ANR to suicidal behavior via restricting. Study 2, which used a sample of 249 AN patients, replicated these findings, including the second mechanism linking ANR to suicide attempts. Two potential routes to suicidal behavior in AN appear to have been identified: one route through repetitive experience with provocative behaviors for ANBP, and a second for exposure to pain through the starvation of restricting in ANR.     

Applying mixed‐effects modeling to single‐subject designs: An introduction

Behavior analysis and statistical inference have shared a conflicted relationship for over fifty years. However, a significant portion of this conflict is directed toward statistical tests (e.g., t‐tests, ANOVA) that aggregate group and/or temporal variability into means and standard deviations and as a result remove much of the data important to behavior analysts. Mixed‐effects modeling, a more recently developed statistical test, addresses many of the limitations of more basic tests by incorporating random effects. Random effects quantify individual subject variability without eliminating it from the model, hence producing a model that can predict both group and individual behavior. We present the results of a generalized linear mixed‐effects model applied to single‐subject data taken from Ackerlund Brandt, Dozier, Juanico, Laudont, & Mick, 2015, in which children chose from one of three reinforcers for completing a task. Results of the mixed‐effects modeling are consistent with visual analyses and importantly provide a statistical framework to predict individual behavior without requiring aggregation. We conclude by discussing the implications of these results and provide recommendations for further integration of mixed‐effects models in the analyses of single‐subject designs.     

A Propositional Dynamic Logic for Instantial Neighborhood Semantics

Studia Logica - We propose a new perspective on logics of computation by combining instantial neighborhood logic $$\mathsf {INL}$$ with bisimulation safe operations adapted from $$\mathsf {PDL}$$ ....     

The heuristic function of duality

Synthese - I conceptualise the role of dualities in quantum gravity, in terms of their functions for theory construction. I distinguish between two functions of duality in physical practice:...     

Multidimensional Cross-Recurrence Quantification Analysis (MdCRQA) – A Method for Quantifying Correlation between Multivariate Time-Series

In this paper, Multidimensional Cross-Recurrence Quantification Analysis (MdCRQA) is introduced. It is an extension of Multidimensional Recurrence Quantification Analysis (MdRQA), which allows to quantify the (auto-)recurrence properties of a single multidimensional time-series. MdCRQA extends MdRQA to bi-variate cases to allow for the quantification of the co-evolution of two multidimensional time-series. Moreover, it is shown how a Diagonal Cross-Recurrence Profile (DCRP) can be computed from the MdCRQA output that allows to capture time-lagged coupling between two multidimensional time-series. The core concepts of these analyses are described, as well as practical aspects of their application. In the supplementary materials to this paper, implementations of MdCRQA and the DCRP as MatLab- and R-functions are provided.     

Chisholm's Grand Move

Abstract: Roderick Chisholm famously held that our knowledge of the world is supported entirely by a foundation of self‐justifying statements, none of which logically implies the existence of any physical object in that world. The only contingent statements to be found in the foundation, he maintained, are those that are “about our own psychological states and the ways we are ‘appeared to’.” It is a view that, as Chisholm was well aware, tallies poorly with our ordinary practice of justifying statements. We are typically happy to justify statements by ultimate appeal to what we have seen or heard; that is, by ultimate appeal to statements that logically imply that certain things in the world are as we take them to be. This essay examines how Chisholm sought to explain away this apparent disconfirmation of foundationalism by ordinary practice—in effect, how Chisholm responded to one of the chief criticisms of foundationalism launched by J. L. Austin. My suggestion will be that, when the dust clears, it is Austin who comes out ahead.     

Ambulante Psychotherapie bei Kindern und Jugendlichen

This paper presents the results of a study of the state of outpatient psychotherapy of children and juveniles in Germany after the PTG came into force. A total of 180 psychotherapists were questioned on certain issues. One result was that patients have to wait 4.5 months for psychotherapy and that every second patient asking for a diagnostic interview and possible treatment was refused.Of those who were given a diagnostic interview 43% were not taken into treatment, although disturbances were diagnosed such as addiction, bodily disabilities with psychic complications, enuresis/encopresis, anorexia nervosa, psychosomatic illnesses, developmental arrests which would normally demand psychotherapeutic treatment. Furthermore only 25% of those children and juveniles who Löcherbach et al. (2000, S.59 f.) considered needing and wanting psychotherapeutic treatment were actually in a G IV psychotherapy.Apart from this the possibility of getting psychotherapy as well as the kind of psychotherapy proved to be dependent on the kind of medical insurance. Differing payments by the insurance companies caused longer waiting times for patients and determined the choice of psychotherapy by the psychotherapists.