Patterns of Social Support in the Middle Childhood to Early Adolescent Transition: Implications for Adjustment

Children's social networks often include close family members, extended family members, and friends, but little is known about interindividual differences in the patterning of support from these sources. In this study, we used person‐oriented analyses to differentiate patterns of support for children undergoing the transition to adolescence. Social network and adjustment data were collected for an ethnically diverse sample of 691 fourth‐ and sixth‐grade children, with a two‐year follow‐up. Cluster analyses identified one pattern of support from both close family members and friends, a second pattern of support from both close and extended family members, and a third pattern of support primarily from close family members alone. Participants receiving support from close family in combination with either extended family or friends were better adjusted than were those without multiple support resources. The results suggest that a meaningful typology of children's social networks can be developed.     

Beyond Symptoms: Crime Prevention And Community Development

Crime and crime prevention are currently ‘hot’ political and social issues. Fuelled by public calls for ‘solutions’, the responses by politicians and planners are typically ‘quick‐fix’ with emphasis on management of particular problems as, and where, they arise. We argue for longer term strategies aimed at dealing with the political, social, economic and cultural factors associated with crime. In doing so, we explore the potential of community development to contribute to crime prevention, particularly ‘community’ or ‘street’ crime and violence. Theoretical and practice intersections between community development and certain crime prevention approaches are identified – notably those which link crime and violence with dis‐empowerment, poverty, inequality, exclusion, the learning of violence within families and communities, and lack of opportunity for children and young people to develop their potential. We conclude that there is plenty of evidence to support the view that community development processes should be used more frequently in crime prevention programmes.     

Validation of a Novel Air Toxic Risk Model with Air Monitoring

Three modeling systems were used to estimate human health risks from air pollution: two versions of MNRiskS (for Minnesota Risk Screening), and the USEPA National Air Toxics Assessment (NATA). MNRiskS is a unique cumulative risk modeling system used to assess risks from multiple air toxics, sources, and pathways on a local to a state‐wide scale. In addition, ambient outdoor air monitoring data were available for estimation of risks and comparison with the modeled estimates of air concentrations. Highest air concentrations and estimated risks were generally found in the Minneapolis‐St. Paul metropolitan area and lowest risks in undeveloped rural areas. Emissions from mobile and area (nonpoint) sources created greater estimated risks than emissions from point sources. Highest cancer risks were via ingestion pathway exposures to dioxins and related compounds. Diesel particles, acrolein, and formaldehyde created the highest estimated inhalation health impacts. Model‐estimated air concentrations were generally highest for NATA and lowest for the AERMOD version of MNRiskS. This validation study showed reasonable agreement between available measurements and model predictions, although results varied among pollutants, and predictions were often lower than measurements. The results increased confidence in identifying pollutants, pathways, geographic areas, sources, and receptors of potential concern, and thus provide a basis for informing pollution reduction strategies and focusing efforts on specific pollutants (diesel particles, acrolein, and formaldehyde), geographic areas (urban centers), and source categories (nonpoint sources). The results heighten concerns about risks from food chain exposures to dioxins and PAHs. Risk estimates were sensitive to variations in methodologies for treating emissions, dispersion, deposition, exposure, and toxicity.     

Correlated and misclassified binary observations in complex surveys

Misclassifications in binary responses have long been a common problem in medical and health surveys. One way to handle misclassifications in clustered or longitudinal data is to incorporate the misclassification model through the generalized estimating equation (GEE) approach. However, existing methods are developed under a non-survey setting and cannot be used directly for complex survey data. We propose a pseudo-GEE method for the analysis of binary survey responses with misclassifications. We focus on cluster sampling and develop analysis strategies for analyzing binary survey responses with different forms of additional information for the misclassification process. The proposed methodology has several attractive features, including simultaneous inferences for both the response model and the association parameters. Finite sample performance of the proposed estimators is evaluated through simulation studies and an application using a real dataset from the Canadian Longitudinal Study on Aging.     

Exploring the Relationship of personality characteristics and spirituality to empathy: Does spirituality add to our understanding?

Although research generally supports a relationship between certain personality dimensions and empathy, there is relatively little empirical information directly examining the relationship between spirituality and empathy. This study sought to explore the relationship of spirituality to empathy, while including relevant personality dimensions. Multidimensional measures of spirituality (Spiritual Involvement and Beliefs Scale) and personality (Big Five Inventory) were used with a sample of both students and practitioners. Students included both undergraduate and graduate social work students from four universities. Practitioners included both social workers and nurses from a local hospital. Results demonstrated that only one spirituality dimension (Spiritual Perspective) was correlated with empathy. While this Spiritual Perspective dimension was not a significant predictor in a regression model, the interaction term of Spiritual Perspective and Agreeableness (personality) was significant in predicting empathy.     

Integrative Symptom-Focused Dynamic Psychotherapy

The advent of the relational perspective in psychoanalytic theory has opened up exciting new prospects for integrative psychotherapy. My own integrative model draws on self psychology and attachment theory for ideas about development and treatment, but also posits the need for active techniques at times to help with troubling symptoms. In addition to using interventions from behavioral and cognitive behavioral traditions, my treatment approach has been evolving to include a variety of mindfulness based strategies. In this article I focus on interventions I use most often to help patients with two major domains: self regulation (which includes affect management and perspective on the self), and self-initiated behavior change. Case examples illustrating the interplay of symptom-focused work and more dynamic exploration are provided.     

The quality of mother‐adolescent disclosure: Links with predictors and adolescents’ sociomoral outcomes

Previous work on adolescents’ disclosure has focused on the frequency of disclosure to parents, but not the quality of that disclosure. Therefore, there is a need to examine factors that predict the quality of adolescents’ disclosure, as well as the consequences of the quality for adolescents’ outcomes. In this study, 100 adolescents (M age = 14.27 years; 57 girls; 70.7% White, European American) disclosed to mothers a recent past event in which they felt excluded; the videotaped and transcribed conversations were rated for indices of the quality of disclosure (i.e., the quality of elaboration and emotion discussed). Adolescents completed measures of sociomoral behavior and parental warmth and mothers completed measures of their moral identity, circle of moral regard, and moral socialization. The quality of adolescents’ disclosure was related to adolescents’ sociomoral outcomes (including prosocial behaviors, empathy, and sociability). Adolescents’ disclosure quality was predicted by gender and by aspects of mothers’ moral sophistication. Findings highlight the importance of high‐quality self‐disclosure by adolescents for promoting adolescents’ moral development, potentially because such disclosure gives parents the opportunity to help adolescents cope with challenging peer experiences potentially through emotion coaching and problem‐solving. Moreover, the findings are novel because they highlight how maternal moral processes might promote adolescents’ disclosure.