Unholy Alliances: Religion, Science, and Environment

Christianity's relationship with the environment is considered. From the seventeenth century, Christianity contributed to the legitimization of scientific developments that had injurious consequences for the environment. These developments were secularizing; hence the ecological crisis participates in the broader problems of secularization. Under secular hegemony, the normative model of the person as atomistic individual is integral to the problem itself as well as bereft of the spiritual resources to challenge abusive attitudes that profane God's creation. This paper proposes that responses to the ecological situation should be sought in a richer understanding of the human being: an anthropology that is not only part of the Christian legacy but also offered by contemporary sociobiology.     

Attribute Framing and Goal Framing Effects in Health Decisions

Levin, Schneider, and Gaeth (LSG, 1998) have distinguished among three types of framing—risky choice, attribute, and goal framing—to reconcile conflicting findings in the literature. In the research reported here, we focus on attribute and goal framing. LSG propose that positive frames should be more effective than negative frames in the context of attribute framing, and negative frames should be more effective than positive frames in the context of goal framing. We test this framework by manipulating frame valence (positive vs negative) and frame type (attribute vs goal) in a unified context with common procedures. We also argue that the nature of effects in a goal-framing context may depend on the extent to which the research topic has “intrinsic self-relevance” to the population. In the context of medical decision making, we operationalize low intrinsic self-relevance by using student subjects and high intrinsic self-relevance by using patients. As expected, we find complete support for the LSG framework under low intrinsic self-relevance and modified support for the LSG framework under high intrinsic self-relevance. Overall, our research appears to confirm and extend the LSG framework.     

Alcohol and tobacco cessation in alcohol-dependent smokers: analysis of real-time reports.

Alcohol-tobacco interactions and relapse precipitants were examined among alcohol-dependent smokers in a trial of concurrent alcohol and tobacco treatment. After discharge from treatment, participants completed 14 days of electronic diary (ED) assessments of mood, self-efficacy, urges to drink or smoke, and drinking and smoking behavior. ED data revealed an increase in frequency of alcohol urges after smoking episodes. Drinking relapse episodes were predicted by prior ED ratings of low self-efficacy to resist drinking and high urge to smoke. Smoking relapse episodes were predicted by high urge to smoke and high negative, high arousal mood. Results support a cross-substance cue reactivity model of multiple substance use and a limited-strength model, but not a cross-substance coping model.     

Development of action monitoring through adolescence into adulthood: ERP and source localization

In this study we examined the development of three action monitoring event-related potentials (ERPs) - the error-related negativity (ERN/Ne), error positivity (P(E)) and the N2 - and estimated their neural sources. These ERPs were recorded during a flanker task in the following groups: early adolescents (mean age = 12 years), late adolescents (mean age = 16 years), and adults (mean age = 29 years). The amplitudes of the ERN/Ne and N2 were greater in the adult and late adolescent groups than in the early adolescent group. Both of these components had neural sources in the anterior cingulate cortex (ACC). Although P(E) was present across groups, P(E) amplitude was greater in the late adolescent group compared to the adult group and also had neural sources in the ACC. ERN/Ne amplitude was related to post-error slowing across age groups; it was related to task performance only in the adult group. These findings are discussed in light of the role of the maturation of the ACC in the development of action monitoring processes.     

Social Neuroscience: Progress and Implications for Mental Health

ABSTRACT— Social neuroscience is a new, interdisciplinary field devoted to understanding how biological systems implement social processes and behavior. Social neuroscience capitalizes on biological concepts and methods to inform and refine theories of social behavior, and it uses social and behavioral constructs and data to inform and refine theories of neural organization and function. We focus here on the progress and potential of social neuroscience in the area of mental health. Research in social neuroscience has grown dramatically in recent years. Among the most active areas of research we found are brain-imaging studies in normal children and adults; animal models of social behavior; studies of stroke patients; imaging studies of psychiatric patients; and research on social determinants of peripheral neural, neuroendocrine, and immunological processes. We also found that these areas of research are proceeding along largely independent trajectories. Our goals in this article are to review the development of this field, examine some currently promising approaches, identify obstacles and opportunities for future advances and integration, and consider how this research can inform work on the diagnosis and treatment of mental disorders.     

Modifiable risk factors for attempted suicide in Australian clinical and community samples

Modifiable risk factors for suicide attempt require identification in clinical and community samples. The aim of this study was to determine if similar social and psychiatric factors are associated with suicide attempts in community and clinical settings and whether the magnitude of effect is greater in clinical populations. Two case-control studies were used: nationwide community-based lifetime attempted suicide (ComAS) cases compared to nationwide community controls; and clinical deliberate self-poisoning (ClinDSP) cases that had hospital treatment compared to normative controls of similar demographic composition. The pattern of risk factors in ComAS and ClinDSP cases was similar, the magnitude of risk usually greater in clinical cases. Greatest attributable fractions were: ComAS current unemployment (39.8% male, 15.5% female) and anxiety disorders (14.0% males, 22.6% females); and ClinDSP current unemployment (69.6% male, 55.5% female) and affective disorders (45.4% male, 39.1% female). Practical intervention targets were unemployment, anxiety and substance use disorders, affective disorders (clinical only), and personality disorder (females only).