Self-perceived unpopularity: Its relationship to emotional and behavioral problems

Childhood unpopularity has been a focus of study but earlier studies have not highlighted children's self-perceptions and their relationship to childhood adaptation. The authors studied 404 children preschool to third grade to examine early risk and current factors associated with feelings of unpopularity. Children who perceived themselves as unpopular in grade three experienced multiple problems in functioning, although they were largely unobtrusive silent sufferers. Self-perceived unpopularity was most strongly related to current factors and served as a marker of emotional difficulties. Implications for identification of these vulnerable children and suggestions for future research are presented.     

Monetary incentives in support of academic achievement: results of a randomized field trial involving high-achieving, low-resource, ethnically diverse urban adolescents

Significant resources have been directed at understanding and alleviating the achievement gap in education. Most programs focused on this aim rely on a top-down approach, including funding for infrastructure improvement, curriculum development, class size, and teacher salaries. This article presents findings from a randomized field trial that evaluates a bottom-up approach in which high-achieving students of diverse racial and ethnic backgrounds from poor families are given monetary incentives to maintain their academic standing. The evaluation was designed to explore the role of monetary incentives as a mechanism for promoting resiliency in the face of poverty-related challenge. Discussion of what motivates students to learn is framed as a function of normal cognitive and socioemotional development in challenging environments. Evaluation findings indicate that monetary incentives are effective in promoting academic success to different degrees and for different reasons depending on students' perception of the meaning of the incentive in relation to their emergent identity.     

Working together to improve care: collaboration between a state psychiatric hospital and an academic institution

This article describes a collaboration between state mental health services division and a state university that focuses on the improvement of patient care services in state psychiatric hospitals. The collaboration is different from other initiatives linking state institutions and academia as it is composed of a team of psychiatrists, advanced practice nurses, and master's prepared psychiatric rehabilitation practitioners. The historical development and accomplishments are described and the process of working with a state psychiatric hospital is explored.     

Cultural Transmission of Tool Use in Young Children: A Diffusion Chain Study

Developmental and gender effects in the transmission of information about a tool-use task were investigated within a 'diffusion chain' design. One hundred and twenty-seven children (65 three-year-olds and 62 five-year-olds) participated. Eighty children took part in diffusion chains in which consecutive children in chains of five witnessed two attempts on a tool-use task by the previous child in the chain. Comparisons were made between two experimental conditions in which alternative techniques were seeded and a third no-model control condition. Children in the diffusion chains conformed to the technique they witnessed, in one experimental condition faithfully transmitting a technique absent in the no-model condition. Five-year-olds displayed more robust transmission than three-year-olds, and boys were both more competent and displayed stronger transmission than girls.     

The Application of Genetic Information for Regulatory Standard Setting Under the Clean Air Act: A Decision-Analytic Approach

In 2002, the U.S. Environmental Protection Agency (EPA) released an “Interim Policy on Genomics,” stating a commitment to developing guidance on the inclusion of genetic information in regulatory decision making. This statement was followed in 2004 by a document exploring the potential implications. Genetic information can play a key role in understanding and quantifying human susceptibility, an essential step in many of the risk assessments used to shape policy. For example, the federal Clean Air Act (CAA) requires EPA to set National Ambient Air Quality Standards (NAAQS) for criteria pollutants at levels to protect even sensitive populations from adverse health effects with an adequate margin of safety. Asthmatics are generally regarded as a sensitive population, yet substantial research gaps in understanding genetic susceptibility and disease have hindered quantitative risk analysis. This case study assesses the potential role of genomic information regarding susceptible populations in the NAAQS process for fine particulate matter (PM_2.5) under the CAA. In this initial assessment, we model the contribution of a single polymorphism to asthma risk and mortality risk; however, multiple polymorphisms and interactions (gene‐gene and gene‐environment) are known to play key roles in the disease process. We show that the impact of new information about susceptibility on estimates of population risk or average risk derived from large epidemiological studies depends on the circumstances. We also suggest that analysis of a single polymorphism, or other risk factor such as health status, may or may not change estimates of individual risk enough to alter a particular regulatory decision, but this depends on specific characteristics of the decision and risk information. We also show how new information about susceptibility in the context of the NAAQS for PM_2.5 could have a large impact on the estimated distribution of individual risk. This would occur if a group were consequently identified (based on genetic and/or disease status), that accounted for a disproportionate share of observed effects. Our results highlight certain conditions under which genetic information is likely to have an impact on risk estimates and the balance of costs and benefits within groups, and highlight critical research needs. As future studies explore more fully the relationship between exposure, genetic makeup, and disease status, the opportunity for genetic information and disease status to play pivotal roles in regulation can only increase.