A systematic review of the effectiveness of machine learning for predicting psychosocial outcomes in acquired brain injury: Which algorithms are used and why?

Clinicians working in the field of acquired brain injury (ABI, an injury to the brain sustained after birth) are challenged to develop suitable care pathways for an individual client’s needs. Being able to predict psychosocial outcomes after ABI would enable clinicians and service providers to make advance decisions and better tailor care plans. Machine learning (ML, a predictive method from the field of artificial intelligence) is increasingly used for predicting ABI outcomes. This review aimed to examine the efficacy of using ML to make psychosocial predictions in ABI, evaluate the methodological quality of studies, and understand researchers’ rationale for their choice of ML algorithms. Nine studies were reviewed from five databases, predicting a range of psychosocial outcomes from stroke, traumatic brain injury, and concussion. Eleven types of ML were employed with a total of 75 ML models. Every model was evaluated as having high risk of bias, unable to provide adequate evidence for predictive performance due to poor methodological quality. Overall, there was limited rationale for the choice of ML algorithms and poor evaluation of the methodological limitations by study authors. Considerations for overcoming methodological shortcomings are discussed, along with suggestions for assessing the suitability of data and suitability of ML algorithms for different ABI research questions.     

The Nature of Client Agency Prior to Therapy: A Qualitative Study on Clients’ Narratives

Client agency is considered a crucial contributor to good treatment outcome. Recent studies, however, differ strongly in how they conceptualise and investigate agency. The current study explores the nature of client agency in ten clients’ pre-treatment interviews. Applying Consensual Qualitative Research, we constructed three overarching categories, subdivided into 14 sub-categories capturing both between- and within-person differences in agency before therapy. We found that all participants oscillated between the experience of a lack of grip on problems on the one hand and noticing their involvement in the problem and taking action on the other. These results present a dynamic conceptualisation of client agency. This allows us to ask pertinent questions for both future research and clinical practice.     

Creation and humanity: Veli-Matti Kärkäinen's answer to the ultimate question

This article focuses on the third volume of Vel-Matti Kärkkäinen's systematic theology, titled Creation and Humanity. After a brief overview of the volume the article offers some clarification on the tenth chapter, especially on its interaction with paleontology. After that, two constructive observations follow. The first is related to Kärkkäinen's notion of the embeddedness of human nature, and the second is to further employ systems thinking in his constructive work on creation and human evolution.     

The (Dis)Pleasures of Creativity: Spontaneous Eye Blink Rate during Divergent and Convergent Thinking Depends on Individual Differences in Positive and Negative Affect

Previous research has demonstrated that individual differences in affect and motivation predict divergent and convergent thinking performance, two thinking processes involved in creative idea generation. Individual differences in affect and motivation also predict spontaneous eye blink rate (sEBR) during divergent and convergent thinking; and sEBR predicts divergent and convergent thinking performance. This study investigates experimentally whether the relationship between sEBR and divergent and convergent thinking depends on individual differences in affect and motivation. Eighty-two participants completed the Emotion/motivation-related Divergent and Convergent thinking styles Scale (EDICOS; G. Soroa et al., 2015), performed the alternative uses task (AUT; divergent thinking) or the remote associates task (RAT; convergent thinking), while their sEBR was captured with an eye-tracker. The results showed that individual differences in positive affect positively correlated with sEBR for the AUT, whereas individual differences in negative affect positively correlated with sEBR for the RAT. Furthermore, the interaction between individual differences in positive and negative affect and sEBR predicted divergent and convergent thinking performance. The contribution of our study is therefore that individual differences in positive and negative affect can both positively correlate with sEBR during divergent and convergent thinking; and that this predicts divergent and convergent thinking performance.     

Instructions Moderate the Relationship between Creative Performance in Figural Divergent Thinking and Reasoning Capacity

In this study with within-subject design, the “be-creative effect” was investigated using three instructions in figural divergent-thinking tasks: Besides a be-fluent instruction, a be-creative instruction, and a be-creative instruction combined with strategies were applied. In addition, reasoning ability as part of fluid intelligence, self-reported creative ideation, current motivation after reading the instructions, and task-related interest were assessed. Multilevel analysis applying random-intercept-constant-slope models found significant main effects of the instructions on creative performance and fluency. Both be-creative instructions yielded a rise in creative performance in divergent thinking tasks with additional improvement due to supporting strategies. The be-fluent instruction enhanced the quantity of ideas but decreased creative performance. Task-related interest turned out to be a better predictor of creative performance than the self-estimated expected interest prior to working on the task. Moreover, the relationship of creative performance and reasoning ability was moderated by instruction, with no relationship with a be-fluent instruction and small to moderate positive effects with both instructions emphasizing creative ideas.     

Self-Compassion and Need Frustration Moderate the Effects of Upward Appearance Comparisons on Body Image Discrepancies

Abstract

Drawing from diverse theoretical frameworks, we examined predictors of discrepancy between current and ideal body image in a sample of 396 Greek adolescents. The participants completed assessments of the frequency of comparing oneself with someone of perceived better appearance, appearance evaluations, frustration of basic psychological needs, and appearance self-compassion. We found that upward appearance comparisons negatively predicted appearance evaluation, which in turn was a negative predictor of body image discrepancy. Moderated mediation analyses showed that appearance self-compassion buffered, whereas psychological need frustration augmented the negative effects of upward comparisons on appearance evaluation. Our findings contribute to the growing literature on body image discrepancies in adolescence by examining moderating factors that amplify or buffer such discrepancies, hence identifying viable intervention pathways.     

Toward the bigger picture: Concrete and abstract thinking about a transgression,and the role of time in interpersonal forgiveness

Rumination is commonly considered detrimental to forgiveness. In contrast, we propose that different forms of post-transgression thinking are differentially effective for forgiveness, depending on their timing. Concrete thinking focuses on event details, whereas abstract thinking abstracts from details and views the event in a broader context. Following construal level theory, we propose that concrete thinking is increasingly ill-matched, and abstract thinking better matched, to the construal abilities and motivation afforded by psychological distance. Hence, over time, concrete thinking would be negatively, and abstract thinking positively, associated with forgiveness. Two correlational recall studies, with time since transgression measured (Study 1) or manipulated (Study 2), demonstrated that with greater temporal distance concrete thinking was more negatively, and abstract thinking more positively, related to forgiveness. Study 3 employed a prospective-longitudinal methodology over five time-points; intra-individual decrease in concrete thinking and increase in abstract thinking over time were related to higher levels of forgiveness.     

Counseling Military Populations: A Content Analysis of Counseling Journals From 1998 to 2018

Mental health scholarship of military populations is largely guided by researchers in psychiatry and psychology. Recent advocacy efforts have created increased opportunities for professional counselors to serve military clients, but the research within the profession has yet to be explored. A content analysis of 23 professional counseling journals from June 1998 to June 2018 was conducted to determine military population research trends. Findings indicated that counselors are researching topics similar to those of other mental health fields, such as posttraumatic stress, but are contributing to those topics conceptually rather than empirically. Topical areas in which counselors do produce more empirical studies include career counseling, and these studies relied on college student veteran populations. Suggestions for incorporating the philosophical principles of counseling into future research are provided to inform the trajectory of military scholarship in the profession.