1,110 research outputs found

    Internal and External Validity of Sluggish Cognitive Tempo in Young Adolescents with ADHD

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    Adolescents with Sluggish Cognitive Tempo (SCT) show symptoms of slowness, mental confusion, excessive daydreaming, low motivation, and drowsiness/sleepiness. Although many symptoms of SCT reflect internalizing states, no study has evaluated the utility of self-report of SCT in an ADHD sample. Further, it remains unclear whether SCT is best conceptualized as a unidimensional or multidimensional construct. In a sample of 262 adolescents comprehensively diagnosed with ADHD, the present study evaluated the dimensionality of a SCT scale and compared CFA and bifactor model fits for parent- and self-report versions. Analyses revealed the three-factor bifactor model to be the best fitting model. In addition, SCT factors predicted social and academic impairment and internalizing symptoms. Therefore, SCT as a multidimensional construct appears to have clinical utility in predicting impairment. Also, multiple reporters should be used, as they predicted different areas of functioning and were not invariant, suggesting that each rater adds unique information

    The Best Things in Life Are - 2017 Haiku Winner

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    Do sluggish cognitive tempo symptoms improve with school-based ADHD interventions? Outcomes and predictors of change.

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    Sluggish cognitive tempo (SCT) is a construct that includes symptoms of slowness, mental confusion, excessive daydreaming, low motivation, and drowsiness/sleepiness. SCT is often co-morbid with attention-deficit/hyperactivity disorder (ADHD), and SCT symptoms are associated with significant academic and interpersonal impairment above and beyond the influence of ADHD symptoms. Despite the overlap between ADHD and SCT and associated impairments, no studies have evaluated how evidence-based psychosocial interventions for adolescents with ADHD impact symptoms of SCT. This study examined whether SCT symptoms improved in a sample of 274 young adolescents with ADHD who received either an organizational skills or a homework completion intervention. SCT intervention response was evaluated broadly in all participants, and specifically, for participants in the clinical range for SCT symptom severity at baseline. Change in ADHD symptoms of inattention, executive functioning, and motivation was examined as potential predictors of improvement in SCT. Multilevel modeling analyses indicated that SCT symptoms decreased at the same rate for adolescents in both the organizational skills and homework completion interventions when compared to the waitlist group (d = .410). For adolescents with parent-reported clinical levels of SCT, the decrease in symptoms was more pronounced (d = .517), with the interventions decreasing the total score of SCT by 2.91 (one symptom). Additionally, in the high SCT group, behavior regulation executive functioning, metacognitive executive functioning, and inattention predicted change. Clinical implications and future directions are discussed, including development of interventions for adolescents with high levels of SCT

    Has climate change taken prominence over biodiversity conservation?

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    The growing prominence of climate change has led to concerns that other important environmental issues, such as biodiversity loss, are being overshadowed. We investigate this assertion by examining trends in biodiversity and climate change coverage within the scientific and newspaper press, as well as the relative distribution of funding through the World Bank and the National Science Foundation, since the late 1980s. Our indicators substantiate some of these fears. To prevent biodiversity from becoming a declining priority, conservationists need to analyze the discourse surrounding climate change and determine how it has become the predominant environmental topic. In addition, given the common drivers of biodiversity loss and climate change, we argue that win–win solutions must be sought wherever possible. Conservationists need to be proactive and take this opportunity to use the mounting interest in climate change as a flagship to leverage more support and action to prevent further biodiversity loss

    Psychoeducational interventions in adolescent depression: A systematic review

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    Background: Adolescent depression is common and leads to distress and impairment for individuals/families. Treatment/prevention guidelines stress the need for good information and evidence-based psychosocial interventions. There has been growing interest in psychoeducational interventions (PIs), which broadly deliver accurate information about health issues and self-management. Objective, methods: Systematic search of targeted PIs as part of prevention/management approaches for adolescent depression. Searches were undertaken independently in PubMed, PsycINFO, EMBASE, guidelines, reviews (including Cochrane), and reference lists. Key authors were contacted. No restrictions regarding publishing dates. Results: Fifteen studies were included: seven targeted adolescents with depression/depressive symptoms, eight targeted adolescents ‘at risk' e.g. with a family history of depression. Most involved family/group programmes; others included individual, school-based and online approaches. PIs may affect understanding of depression, identification of symptoms, communication, engagement, and mental health outcomes. Conclusion, practice implications: PIs can have a role in preventing/managing adolescent depression, as a first-line or adjunctive approach. The limited number of studies, heterogeneity in formats and evaluation, and inconsistent approach to defining PI, make it difficult to compare programmes and measure overall effectiveness. Further work needs to establish an agreed definition of PI, develop/evaluate PIs in line with frameworks for complex interventions, and analyse their active components

    Decaying turbulence in molecular clouds: how does it affect filament networks and star formation?

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    The fragmentation of gas to form stars in molecular clouds is intrinsically linked to the turbulence within them. These internal motions are set at the birth of the cloud and may vary with galactic environment and as the cloud evolves. In this paper, we introduce a new suite of 15 high-resolution molecular cloud simulations using the moving mesh code AREPO, to investigate the role of different decaying turbulent modes (mixed, compressive and solenoidal) and Virial ratios on the evolution of a 104M10^4\mathrm{M}_{\odot} molecular cloud. We find that diffuse regions maintain a strong relic of the initial turbulent mode, whereas the initial gravitational potential dominates dense regions. Solenoidal seeded models thus give rise to a diffuse cloud with filament-like morphology, and an excess of brown dwarf mass fragments. Compressive seeded models have an early onset of star-formation, cluster-like morphologies and a higher accretion rate, along with overbound clouds, compared to other simulations. Filaments identified using DisPerSE, and analyzed through a new Python toolkit we develop and make publicly available with this work called FIESTA, show no clear trend in lengths, masses and densities between initial turbulent modes. Overbound clouds, however, produce more filaments and thus have more mass in filaments. The hubs formed by converging filaments are found to favour star-formation, with surprisingly similar mass distributions independent of the number of filaments connecting the hub.Comment: 19 pages, 15 figure
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