A preliminary report on the nature of interactions in a mental-handicap institution

A preliminary analysis of the reactions by staff and other residents to the behaviour of mentally-handicapped people living in a medium-sized institution is presented. The subjects' behaviour was categorized as appropriate, inappropriate or neutral according to culturally-normative criteria. It was found that, for the majority of time there was no reaction to the subjects' behaviour by staff or by other residents. The implications of utilizing culturally-normative criteria for categorizing behaviour are discussed. It is proposed that this type of analysis is potentially useful for understanding the nature of interactions in institutions.     

A low-cost interactive coordinate plotter

An inexpensive system for on-line coordinate plotting is described. Users with access to a computer running ALGOL or FORTRAN, and equipped with analog-to-digital converters, can build the system for less than $50. The program is readily modified for the individual user’s requirements, and interactive features allow data correction and analysis to be carried out during coordinate plotting, with operators warned of plotting errors as they occur.     

Maternal Emotion Socialization of Adolescent Girls Engaging in Non-Suicidal Self-Injury

Research on Child and Adolescent Psychopathology - Non-suicidal self injury (NSSI) is a transdiagnostic maladaptive behavior that is highly prevalent in adolescence. A greater understanding of the...     

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.     

Contemplative/emotion training reduces negative emotional behavior and promotes prosocial responses

Contemplative practices are believed to alleviate psychological problems, cultivate prosocial behavior and promote self-awareness. In addition, psychological science has developed tools and models for understanding the mind and promoting well-being. Additional effort is needed to combine frameworks and techniques from these traditions to improve emotional experience and socioemotional behavior. An 8-week intensive (42 hr) meditation/emotion regulation training intervention was designed by experts in contemplative traditions and emotion science to reduce "destructive enactment of emotions" and enhance prosocial responses. Participants were 82 healthy female schoolteachers who were randomly assigned to a training group or a wait-list control group, and assessed preassessment, postassessment, and 5 months after training completion. Assessments included self-reports and experimental tasks to capture changes in emotional behavior. The training group reported reduced trait negative affect, rumination, depression, and anxiety, and increased trait positive affect and mindfulness compared to the control group. On a series of behavioral tasks, the training increased recognition of emotions in others (Micro-Expression Training Tool), protected trainees from some of the psychophysiological effects of an experimental threat to self (Trier Social Stress Test; TSST), appeared to activate cognitive networks associated with compassion (lexical decision procedure), and affected hostile behavior in the Marital Interaction Task. Most effects at postassessment that were examined at follow-up were maintained (excluding positive affect, TSST rumination, and respiratory sinus arrhythmia recovery). Findings suggest that increased awareness of mental processes can influence emotional behavior, and they support the benefit of integrating contemplative theories/practices with psychological models and methods of emotion regulation.     

Clarifying relationships among work and family social support, stressors, and work-family conflict

Although work and family social support predict role stressors and work-family conflict, there has been much ambiguity regarding the conceptual relationships among these constructs. Using path analysis on meta-analytically derived validity coefficients (528 effect sizes from 156 samples), we compare three models to address these concerns and clarify relationships. Results revealed that social support, controlling for role involvement, is best viewed as an antecedent of role stressors and subsequent work-family conflict. Controlling for work and family involvement, work and family social support were most related to same domain role conflict (β = −.46, p < .05; β = −.43, p < .05) and role ambiguity (β = −.28, p < .05; β = −.33, p < .05). Subsequently, work role conflict and time demands were most related to work-to-family conflict (β = .39, p < .05; β = .21, p < .05), while family role conflict and role ambiguity were most related to family-to-work conflict (β = .22, p < .05; β = .24, p < .05). Implications for research and practice, along with suggestions for theoretical advances, are discussed.     

Implementation of Cognitive Therapy for PTSD in routine clinical care: Effectiveness and moderators of outcome in a consecutive sample

ObjectiveTrauma-focused psychological treatments are recommended as first-line treatments for Posttraumatic Stress Disorder (PTSD), but clinicians may be concerned that the good outcomes observed in randomized controlled trials (RCTs) may not generalize to the wide range of traumas and presentations seen in clinical practice. This study investigated whether Cognitive Therapy for PTSD (CT-PTSD) can be effectively implemented into a UK National Health Service Outpatient Clinic serving a defined ethnically mixed urban catchment area.MethodA consecutive sample of 330 patients with PTSD (age 17–83) following a wide range of traumas were treated by 34 therapists, who received training and supervision in CT-PTSD. Pre and post treatment data (PTSD symptoms, anxiety, depression) were collected for all patients, including dropouts. Hierarchical linear modeling investigated candidate moderators of outcome and therapist effects.ResultsCT-PTSD was well tolerated and led to very large improvement in PTSD symptoms, depression and anxiety. The majority of patients showed reliable improvement/clinically significant change: intent-to-treat: 78.8%/57.3%; completer: 84.5%/65.1%. Dropouts and unreliable attenders had worse outcome. Statistically reliable symptom exacerbation with treatment was observed in only 1.2% of patients. Treatment gains were maintained during follow-up (M = 280 days, n = 220). Few of the selection criteria used in some RCTs, demographic, diagnostic and trauma characteristics moderated treatment outcome, and only social problems and needing treatment for multiple traumas showed unique moderation effects. There were no random effects of therapist on symptom improvement, but therapists who were inexperienced in CT-PTSD had more dropouts than those with greater experience.ConclusionsThe results support the effectiveness of CT-PTSD and suggest that trauma-focused cognitive behavior therapy can be successfully implemented in routine clinical services treating patients with a wide range of traumas.