36 research outputs found

    Learned Optimism In Children

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    A Meta-Analytic Review Of The Penn Resiliency Program\u27s Effect On Depressive Symptoms

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    The purpose of this review was to evaluate whether the Penn Resiliency Program (PRP), a group cognitive–behavioral intervention, is effective in targeting depressive symptoms in youths. We identified 17 controlled evaluations of PRP (N = 2,498) in which depressive symptoms had been measured via an online search of PsycINFO, Medline, ERIC, and ProQuest Dissertations and Theses and by requesting data from PRP researchers. We combined effect sizes (ESs; Glass’s d), using random effects models at postintervention and two follow-up assessments (6–8 and 12 months postintervention). PRP participants reported fewer depressive symptoms at postintervention and both follow-up assessments compared with youths receiving no intervention, with ESs ranging from 0.11 to 0.21. Subgroup analyses showed that PRP’s effects were significant at 1 or more follow-up assessments among studies with both targeted and universal approaches, when group leaders were research team members and community providers, among participants with both low and elevated baseline symptoms, and among boys and girls. Limited data showed no evidence that PRP is superior to active control conditions. Preliminary analyses suggested that PRP’s effects on depressive disorders may be smaller than those reported in a larger meta-analysis of depression prevention programs for older adolescents and adults. We found evidence that PRP significantly reduces depressive symptoms through at least 1-year postintervention. Future PRP research should examine whether PRP’s effects on depressive symptoms lead to clinically meaningful benefits for its participants, whether the program is cost-effective, whether CB skills mediate program effects, and whether PRP is effective when delivered under real-world conditions. (PsycINFO Database Record (c) 2013 APA, all rights reserved)(journal abstract

    Social Support Seeking And Early Adolescent Depression And Anxiety Symptoms: The Moderating Role Of Rumination

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    This study examined how social support seeking and rumination interacted to predict depression and anxiety symptoms 6 months later in early adolescents (N = 118; 11-14 years at baseline). We expected social support seeking would be more helpful for adolescents engaging in low rather than high levels of rumination. Adolescents self-reported on all measures at baseline, and on depression and anxiety symptoms 6 months later. Social support seeking predicted fewer symptoms of depression and anxiety at low rumination levels but was not associated with benefits as rumination increased. For depression symptoms, social support seeking predicted more symptoms at high rumination levels. Results were stronger for emotion-focused than problem-focused support seeking and for depression compared with anxiety symptoms. These findings suggest that cognitive risk factors like rumination may explain some inconsistencies in previous social support literature, and highlight the importance of a nuanced approach to studying social support seeking

    Preventing adolescents’ externalizing and internalizing symptoms : effects of the Penn Resiliency Program

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    This study reports secondary outcome analyses from a past study of the Penn Resiliency Program (PRP), a cognitive-behavioral depression prevention program for middle-school aged children. Middle school students (N = 697) were randomly assigned to PRP, PEP (an alternate intervention), or control conditions. Gillham et al., (2007) reported analyses examining PRP’s effects on average and clinical levels of depression symptoms. We examine PRP’s effects on parent-, teacher-, and self-reports of adolescents’ externalizing and broader internalizing (depression/anxiety, somatic complaints, and social withdrawal) symptoms over three years of follow-up. Relative to no intervention control, PRP reduced parent-reports of adolescents’ internalizing symptoms beginning at the first assessment after the intervention and persisting for most of the follow-up assessments. PRP also reduced parent-reported conduct problems relative to no-intervention. There was no evidence that the PRP program produced an effect on teacher- or self-report of adolescents’ symptoms. Overall, PRP did not reduce symptoms relative to the alternate intervention, although there is a suggestion of a delayed effect for conduct problems. These findings are discussed with attention to developmental trajectories and the importance of interventions that address common risk factors for diverse forms of negative outcomes.peer-reviewe

    Parent Predictors Of Adolescents’ Explanatory Style

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    The current study tested the prospective relations (6-month lag) between three aspects of the parent-child relationship at Time 1 (T1) and adolescents’ explanatory styles at Time 2 (T2): caregiving behaviors, parents’ explanatory style for their own negative events, and parents’ explanatory style for their children’s negative events. The sample included 129 adolescents aged 11 to 14 years at baseline and their parents. Adolescents reported on their own explanatory style and their parents’ caregiving behaviors; parents self-reported on their caregiving behaviors and their explanatory style for their own and their children’s events. Regression analyses identified maternal acceptance as a significant predictor of T2 adolescents’ explanatory style. Marginal effects emerged for fathers’ psychological control and fathers’ explanatory style for their children’s events. Findings suggest that the ways parents—especially mothers—interact with their children may play a role in adolescents’ cognitive vulnerability to depression

    A psychosocial resilience curriculum provides the “missing piece” to boost adolescent physical health: A randomized controlled trial of Girls First in India

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    AbstractRationale and objectivesDespite a recent proliferation of interventions to improve health, education, and livelihoods for girls in low and middle income countries, psychosocial wellbeing has been neglected. This oversight is particularly problematic as attending to psychosocial development may be important not only for psychosocial but also physical wellbeing. This study examines the physical health effects of Girls First, a combined psychosocial (Girls First Resilience Curriculum [RC]) and adolescent physical health (Girls First Health Curriculum [HC]) intervention (RC + HC) versus its individual components (i.e., RC, HC) and a control group. We expected Girls First to improve physical health versus HC and controls.MethodsOver 3000 girls in 76 government middle schools in rural Bihar, India participated. Interventions were delivered through in-school peer-support groups, facilitated by pairs of local women. Girls were assessed before and after program participation on two primary outcomes (health knowledge and gender equality attitudes) and nine secondary outcomes (clean water behaviors, hand washing, menstrual hygiene, health communication, ability to get to a doctor when needed, substance use, nutrition, safety, vitality and functioning). Analyses included Difference-in-Difference Ordinary Least-Squares Regressions and F-tests for equality among conditions.ResultsGirls First significantly improved both primary and eight secondary outcomes (all except nutrition) versus controls. Additionally, Girls First demonstrated significantly greater effects, improving both primary and six secondary outcomes (clean water behaviors, hand washing, health communication, ability to get to a doctor, nutrition, safety) versus HC.ConclusionsThis study is among the first to assess the impact of a combined psychosocial and adolescent health program on physical health. We found that combining these curricula amplified effects achieved by either curriculum alone. These findings suggest that psychosocial wellbeing should receive much broader attention, not only from those interested in improving psychosocial outcomes but also from those interested in improving physical health outcomes

    Resilience Education

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    As a primary learning and social environment for most children, schools have tremendous potential to, and responsibility for, promoting resilience and well-being in children. This chapter reviews the rationale for focusing on resilience in education and illustrates some of the ways that schools can promote resilience in young people. Although resilience education can also encompass academic or educational resilience, the authors focus primarily on the power of schools to promote students’ social and emotional well-being and provide examples from their team’s work on school-based resilience and positive psychology interventions. As they hope to show, resilience education holds great promise in promoting the well-being of all students

    A Bayesian Approach to Risk Management in a World of High-Frequency Data

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    A Realised Volatility GARCH model using high-frequency data is developed within a Bayesian framework for the purpose of forecasting Value at Risk and Conditional Value at Risk. A Skewed Student-t return distribution is combined with a Student-t distribution in the measurement equation in a GARCH framework. Realised Volatility GARCH models show a marked improvement compared to ordinary GARCH. A Skewed Student-t Realised DCC copula model using Realised Volatility GARCH marginal functions is developed within a Bayesian framework for the purpose of forecasting portfolio tail risk. The use of copulas is implemented so that the marginal distributions can be separated from the dependence structure to produce tail forecasts. This is compared to using traditional GARCH-copula models, and GARCH on an aggregated portfolio. Copula models implementing a Realised Volatility GARCH framework show an improvement over traditional GARCH models. A Bayesian detection of regime changes utilizing high-frequency data is developed, once again for the purpose of forecasting portfolio tail risk. The use of high-frequency data improves the accuracy of regime change detection compared to daily data. Monte Carlo sampling schemes are employed for the estimation of these models
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