Readiness for Change: Involving the Family with Adolescents in Residential Settings

Adolescence is a pivotal time in human development and can be a challenging time for individuals to learn to regulate emotions, while also balancing biopsychosocial changes. The family plays a key role in an adolescent’s development. Thus, it is imperative for families to remain involved when adolescents are in residential treatment for emotional or behavioral issues. In this paper, we explore the benefits of, and methods for, increasing the identified patient’s (i.e., the adolescent’s) and the family’s readiness for change. The process of increasing family engagement in residential treatment is considered through the lens of the Stages of Change model. Barriers practitioners may face with adolescents and their families are also addressed.     

Two Case Studies of Preschool Psychosocial Safety Climates

With the call from federal and state officials to increase access to high-quality early childhood education only growing louder, programs continue to struggle to attract and support a workforce capable of providing such instruction and care. One critical component of this support is the construction of a workplace environment that teachers perceive as psychologically safe and in which they feel capable of engaging in the challenging work of early childhood education. In the present set of case studies, the authors explore the extent to which a previously developed model of psychosocial safety climate applies to preschool contexts. Using teacher focus groups and administrator interviews the authors present examples of directors’ management practices and center’s policies and procedures that reflect a degree of valuing of teacher well-being and psychological safety. Additionally, the ways teachers’ experiences of the climate relate to their beliefs and behaviors in the classroom are explored.     

Dual Processing of Open- and Closed-Class Words

A series of articles in the past two decades has suggested differential processing of open- and closed-class lexical items by normal adults. Difficulties in replicating a crucial study (Bradley, 1978), however, have weakened the dual route hypothesis. We matched 16 French open-class items to 16 closed-class items for phonological structure, word length, and relative word frequency. Three agrammatic aphasics were asked to read each word in isolation and in a sentence context. Error analysis revealed strikingly more phonological errors on closed-class than open-class items. Dysfluencies were greater on closed-class items and contributed to greater overall reading time for the closed-class words, consistent with a two-route model for the production of closed- and open-class lexical items in Broca's aphasics and, thus, normals.     

The prematurity stereotype revisited: Impact on mothers' interactions with premature and full‐term infants

Research exploring the effects of labeling on maternal perceptions and behaviors was extended by simultaneously examining the cognitive and behavioral effects of prematurity stereotyping with both mothers of full‐term and premature infants, and by examining the effects of an information‐based intervention on the stereotyped responses of mothers of premature infants. An experimental design wherein mothers of both full‐term and premature infants were randomly assigned to interact with, and then rate, either a full‐term or premature infant who was described as either full‐term or premature was employed to test several hypotheses. Two hypotheses related to prematurity stereotyping received support: mothers showed more positive responses to infants labeled full‐term than to infants labeled premature, and mothers of full‐term infants exhibited more prematurity stereotyping than did mothers of premature infants. The hypothesis concerning gender effects also was supported, with mothers showing more positive responses to male infants than to female infants. In contrast to expectations, a brief cognitive intervention provided to some mothers of premature infants failed to reduce stereotyping, and, indeed, appeared to increase stereotyping. These results are compared with the results of previous studies, most of which did not include actual interactions between mothers and infants, and the implications of these results are considered. © 2000 Michigan Association for Infant Mental Health.     

Predictors of Symptom Outcome in Interpretation Bias Modification for Dysphoria

Interpretation Bias Modification (IBM) interventions have been effective in reducing negative interpretation biases theorized to underlie depressive psychopathology. Although these programs have been highlighted as potential short-term interventions for depression, mixed evidence has been found for their effects on depressive symptoms. There is a need to examine attitudes towards training as well as individual difference factors that may impact symptom outcomes for IBM depression interventions. Seventy-two dysphoric young adults were randomly assigned to receive either an IBM targeting negative interpretation bias in personal evaluations or interpersonal situations or a healthy video control (HVC) condition. Compared to those who received HVC, participants in the IBM condition reported lower negative interpretation bias at posttreatment. No differences between conditions were found for symptom outcomes. Greater perceived treatment credibility and expectancy were associated with better treatment outcomes for both the IBM and HVC groups. Within the IBM group, a greater tendency toward assimilation with treatment scenarios was significantly associated with better treatment outcomes for both depressive and anger symptoms. This effect was unique from treatment credibility and expectancy. Pretreatment psychological reactance did not predict treatment response for either condition. Implications and future research directions are discussed.     

Perspectives from the Edge: Chaplains in Greater Boston, 1945–2015

We follow Bender et al.’s (Religion on the Edge: De‐Centering and Recentering the Sociology of Religion) call to study religion “on the edge” by looking at the work of chaplains, religious professionals who work outside of congregations. Rather than studying chaplains within a single type of institution—the military, healthcare, or other sectors—we shift the unit of analysis to geography, asking where chaplains in Greater Boston worked between 1945 and the present. Based on coverage in the Boston Globe, we find that chaplains, mostly men, worked across Greater Boston between 1945 and 2015. The majority were Catholic with frequent minorities of Protestants and Jews, and—after 1995—a few Buddhists, Muslims, and Humanists. Most worked in higher education, healthcare, and prisons. While much of the chaplains’ work seems improvisational and varied, we identify services related to ceremonies, bearing witness, and working around death as common occurrences across the venues where chaplains worked. To the extent that these patterns are evident in other cities, they suggest that chaplains have regularly been a quiet part of the religious landscape, that they are a consistent part of the institutional field, and that their work has more commonalities across sectors than previous studies suggest.     

Conspiracy theories,impostor syndrome,and distrust

Philosophical Studies - Conspiracy theorists believe that powerful agents are conspiring to achieve their nefarious aims and also to orchestrate a cover-up. People who suffer from impostor syndrome...     

Community Perspectives on Adults With Autism Spectrum Disorder

Little is known about community attitudes toward adults with autism spectrum disorder (ASD) and what factors lead to more positive attitudes. Using a cross-sectional design with a quantitative correlational approach, 60 adults were surveyed regarding experiences, knowledge, and comfort with adults with ASD living in the community. Most participants reported having encountered a person with ASD. Among these participants with personal experience, knowledge about ASD was relatively high. Amount of experience was the only variable associated with comfort. Results suggest that increasing exposure to people with ASD may be more effective in improving community acceptance compared to informational campaigns.     

Machine learning in suicide science: Applications and ethics

For decades, our ability to predict suicide has remained at near‐chance levels. Machine learning has recently emerged as a promising tool for advancing suicide science, particularly in the domain of suicide prediction. The present review provides an introduction to machine learning and its potential application to open questions in suicide research. Although only a few studies have implemented machine learning for suicide prediction, results to date indicate considerable improvement in accuracy and positive predictive value. Potential barriers to algorithm integration into clinical practice are discussed, as well as attendant ethical issues. Overall, machine learning approaches hold promise for accurate, scalable, and effective suicide risk detection; however, many critical questions and issues remain unexplored.