Childhood Maltreatment Predicts Poor Economic and Educational Outcomes in the Transition to Adulthood.

ObjectivesTo test whether childhood maltreatment was a predictor of (1) having low educational qualifications and (2) not being in education, employment, or training among young adults in the United Kingdom today.MethodsParticipants were from the Environmental Risk (E-Risk) Longitudinal Twin Study, a nationally representative UK cohort of 2232 twins born in 1994 to 1995. Mothers reported on child maltreatment when participants were aged 5, 7, 10, and 12 years. Participants were interviewed about their vocational status at age 18 years.ResultsThe unadjusted odds of having low educational qualifications or of not being in education, employment, or training at age 18 years were more than 2 times greater for young people with a childhood history of maltreatment versus those without. These associations were reduced after adjustments for individual and family characteristics. Youths who reported having a supportive adult in their lives had better education outcomes than did youths who had less support.ConclusionsCloser collaboration between the child welfare and education systems is warranted to improve vocational outcomes for maltreated youths

Automatic detection of expressed emotion from Five-Minute Speech Samples:Challenges and opportunities

Research into clinical applications of speech-based emotion recognition (SER)technologies has been steadily increasing over the past few years. One such potential application is the automatic recognition of expressed emotion (EE) components within family environments. The identification of EE is highly important as they have been linked with a range of adverse life events. Manual coding of these events requires time-consuming specialist training, amplifying the need for automated approaches. Herein we describe an automated machine learning approach for determining the degree of warmth, a key component of EE, from acoustic and text natural language features. Our dataset of 52 recorded interviews is taken from recordings, collected over 20 years ago, from a nationally representative birth cohort of British twin children, and was manually coded for EE by two researchers (inter-rater reliability 0.84–0.90). We demonstrate that the degree of warmth can be predicted with an F1-score of 64.7% despite working with audio recordings of highly variable quality. Our highly promising results suggest that machine learning may be able to assist in the coding of EE in the near future

Here and then: Learning by making places with digital spatial story lines

In this article, we introduce and analyze learning experiences made possible by a teaching framework that we have developed and call digital spatial story lines (DSSLs). DSSLs offer a novel approach to learning on the move by engaging learners with related conceptual practices of archival curation, digital mapping, and the production of public history. Learners collaborate to make and follow map-based story lines that bridge archival media they curate in public libraries and museums onto city neighborhoods these media describe. Story lines can be followed as tours to explore under- or untold stories about a city’s public history at walking scale. To illustrate and study learning within the DSSL framework, we describe and analyze one design iteration from a larger, multi-year research project with local museum, library, and high school partners. Our analysis shows how making and following story lines provided opportunities for pre-service social studies teachers to engage with and learn about the public history of racial segregation, Civil Rights Movement activism, and American Roots Music in Nashville, Tennessee (aka the “Music City”). Our analysis focuses on using archival material to create and share public history as a mobile experience of being both “here-and-then”—a form of palimpsest in which learning on the move layers together historic places and the voices of different historical actors. We end with a discussion of who speaks for the public history of city neighborhoods and the prospects and limitations for teaching and learning with the DSSL framework

Bullying victimisation and risk of self harm in early adolescence: longitudinal cohort study

Objectives To test whether frequent bullying victimisation in childhood increases the likelihood of self harming in early adolescence, and to identify which bullied children are at highest risk of self harm

Intimate partner violence and new-onset depression : a longitudinal study of women's childhood and adult histories of abuse

Background—Studies indicate that women victims of intimate partner violence are at increased risk for poor mental health. This research disentangled the effect of partner violence on new-onset depression and psychosis spectrum symptoms from effects of child maltreatment and other confounding factors, including substance abuse and antisocial personality. Methods—Participants were 1,052 mothers involved in the Environmental Risk (E-Risk) Longitudinal Twin Study, a nationally representative cohort of families followed prospectively. To test the directionality of associations between partner violence and depression, only women without a history of depression at the beginning of the study were considered (n = 978). Partner violence and mental health were assessed during face-to-face interviews with women across three time points. Results—Four of 10 women reported being the victim of violence from their partner in a 10-year period. They represent 33% of our cohort and they account for 51% of new-onset depression. These women had a twofold increase in their risk of suffering from new-onset depression once the effect of childhood maltreatment, socioeconomic deprivation, antisocial personality, and young motherhood were controlled. Women who were abused both in childhood and adulthood were four to seven times more likely to suffer from depression than never-abused women. We observed similar associations with psychosis spectrum symptoms. Conclusions—Women victims of partner violence account for more than their share of depression. Findings strengthen existing evidence that partner violence independently contributes to women’s poor mental health. Psychological difficulties among a considerable number of women could be reduced by stopping partner violence

Brief Metacognitive Therapy for Emotional Distress in Adult Cancer Survivors

Background: Adult cancer survivors often experience substantial psychological morbidity following the completion of acute cancer treatment. Unfortunately, current psychological interventions are of limited efficacy. This study explored if metacognitive therapy (MCT); a brief transdiagnostic psychological intervention was potentially efficacious and could be delivered effectively to adult cancer survivors with psychological morbidity.Methods: An open trial with 3- and 6-month follow-up evaluated the treatment effects of MCT in 27 consecutively referred individuals to a clinical psychology health service specializing in psycho-oncology. Each participant received a maximum of six 1-hour sessions of MCT. Levels of anxiety, depression, fear of cancer recurrence, post-traumatic stress symptoms, health related quality of life, and metacognitive beliefs and processes were assessed using self-report questionnaires.Results: MCT was associated with statistically significant reductions across all outcome measures which were maintained through to 6-month follow-up. In the ITT sample on the primary treatment outcome measure, the Hospital Anxiety and Depression Scale-Total, 59% of participants met recovery criteria at post-treatment and 52% at 6-month follow-up, respectively. No participants significantly deteriorated. In the completer sample (N = 20), 80% recovered at post-treatment and 70% at 6-month follow-up. MCT was acceptable to patients with approximately 75% of patients completing all treatment sessions.Conclusion: MCT, a brief transdiagnostic psychological intervention can be delivered effectively to a heterogenous group of cancer survivors with promising treatment effects. Examining the efficacy of brief MCT against the current gold standard psychological intervention would be a valuable advance toward improving the quality of life of cancer survivors

Predicting the risk of future depression among school-attending adolescents in Nigeria using a model developed in Brazil

Depression commonly emerges in adolescence and is a major public health issue in low- and middle-income countries where 90% of the world's adolescents live. Thus efforts to prevent depression onset are crucial in countries like Nigeria, where two-thirds of the population are aged under 24. Therefore, we tested the ability of a prediction model developed in Brazil to predict future depression in a Nigerian adolescent sample. Data were obtained from school students aged 14–16 years in Lagos, who were assessed in 2016 and 2019 for depression using a self-completed version of the Mini International Neuropsychiatric Interview for Children and Adolescents. Only the 1,928 students free of depression at baseline were included. Penalized logistic regression was used to predict individualized risk of developing depression at follow-up for each adolescent based on the 7 matching baseline sociodemographic predictors from the Brazilian model. Discrimination between adolescents who did and did not develop depression was better than chance (area under the curve = 0.62 (bootstrap-corrected 95% CI: 0.58–0.66). However, the model was not well-calibrated even after adjustment of the intercept, indicating poorer overall performance compared to the original Brazilian cohort. Updating the model with context-specific factors may improve prediction of depression in this setting

Trash to Supply Gas (TtSG) Project Overview

Technologies that reduce logistical needs are a key to long term space missions. Currently, trash and waste generated during a mission is carried during the entire roundtrip mission or stored inside a logistic module which is de-orbited into Earth's atmosphere for destruction. The goal of the Trash to Supply Gas (TtSG) project is to develop space technology alternatives for converting trash and other waste materials from human spaceflight into high-value products that might include propellants or power system fuels in addition to life support oxygen and water. In addition to producing a useful product from waste, TtSG will decrease the volume needed to store waste on long term space missions. This paper presents an overview of the TtSG technologies and future plans for the project