The Relationship Between Attitudinal Ambivalence and Desire to Quit Smoking Among College Smokers1

Growing evidence shows that attitudes can exist on a bivariate rather than a bipolar plane. This conceptualization provides a more dynamic approach to studying how attitudinal ambivalence (i. e., evaluating an attitude object as both positive and negative) affects smoking‐related behaviors. Based on a sample of 157 college smokers, we obtained preliminary validational support for a smoking‐specific felt attitudinal ambivalence scale. Felt attitudinal ambivalence correlated positively with potential for ambivalence, negative attitudes, and negative as well as positive outcome expectancies related to smoking. Smokers who felt more ambivalent reported a greater desire to quit and were more likely to be contemplators, as defined by the transtheoretical model of behavioral change. In multivariate analyses, felt ambivalence toward smoking predicted desire to quit after controlling for positive and negative attitudes and negative smoking consequences. These results provide promising support for the smoking‐specific felt‐ambivalence scale, and suggest that attitudinal ambivalence should be investigated further as a motivational mechanism to affect smoking cessation.     

Stress and alcohol use: moderating effects of gender, coping, and alcohol expectancies.

A stressor vulnerability model of stress-induced drinking was tested in a stratified random sample of 1,316 Black and White adult drinkers. Stressors were highly predictive of both alcohol use and drinking problems among men who relied on avoidant forms of emotion coping or held strong positive expectancies for alcohol's effects and accounted for more than 35% of the variance in alcohol use among the subgroup of men who were high in both vulnerability factors. In contrast, stressors were negatively related among men who were low in both and were unrelated among women regardless of their coping or expectancies. These findings suggest that tension reduction theories of alcohol use are overly broad and that individual characteristics must be considered to account for stress-related effects on alcohol use and abuse.     

Application of chaos theory to biology and medicine.

The application of "chaos theory" to the physical and chemical sciences has resolved some long-standing problems, such as how to calculate a turbulent event in fluid dynamics or how to quantify the pathway of a molecule during Brownian motion. Biology and medicine also have unresolved problems, such as how to predict the occurrence of lethal arrhythmias or epileptic seizures. The quantification of a chaotic system, such as the nervous system, can occur by calculating the correlation dimension (D2) of a sample of the data that the system generates. For biological systems, the point correlation dimension (PD2) has an advantage in that it does not presume stationarity of the data, as the D2 algorithm must, and thus can track the transient non-stationarities that occur when the systems changes state. Such non-stationarities arise during normal functioning (e.g., during an event-related potential) or in pathology (e.g., in epilepsy or cardiac arrhythmogenesis). When stochastic analyses, such as the standard deviation or power spectrum, are performed on the same data they often have a reduced sensitivity and specificity compared to the dimensional measures. For example, a reduced standard deviation of heartbeat intervals can predict increased mortality in a group of cardiac subjects, each of which has a reduced standard deviation, but it cannot specify which individuals will or will not manifest lethal arrhythmogenesis; in contrast, the PD2 of the very same data can specify which patients will manifest sudden death. The explanation for the greater sensitivity and specificity of the dimensional measures is that they are deterministic, and thus are more accurate in quantifying the time-series. This accuracy appears to be significant in detecting pathology in biological systems, and thus the use of deterministic measures may lead to breakthroughs in the diagnosis and treatment of some medical disorders.     

Factors associated with Borderline pathology in school-age children

The Diagnostic Interview for Borderlines as revised (DIB-R) for use with children and chart review was completed using the records of 54 children, ages 6 to 12 years, who had been admitted to a public psychiatric hospital. Based on the results of the DIB-R, the children were grouped as borderline and nonborderline. The two groups were then compared with regard to 52 independent variables which have historically been associated with the borderline diagnosis. Stepwise logistic regression was used to identify the cluster of diagnostic and independent variables which best discriminated the borderline subjects. Self-destructive behavior, irritable affect, anhedonia, and an externalizing disorder diagnosis at the time of admission accounted for 95.4% of the borderline children. These findings are in contrast to previous studies which have found an assortment of neuropsychological and/or neurological deficits and stressed the importance of a tendency toward psychotic regression on psychological testing as discriminative variables. The authors underscore the idea that borderline pathology may represent a spectrum of disorders and the need for a more specific psychiatric nosology in describing and diagnosing these children.     

Preventing harm and promoting ethical discourse in the helping professions: conceptual, research, analytical, and action frameworks

The first in a series of 4 articles, this article provides an overview of the concepts and methods developed by a team of researchers concerned with preventing harm and promoting ethical discourse in the helping professions. In this article we introduce conceptual, research, analytical, and action frameworks employed to promote the centrality of ethical discourse in mental health practice. We employ recursive processes whereby knowledge gained from case studies refines our emerging conceptual model of applied ethics. Our participatory conceptual framework differs markedly from the restrictive model typically used in applied ethics. Our research relies on lived experiences of ethics, while our analytical framework draws attention to the multiple levels and contexts in which ethical dilemmas take place. Finally, our action framework is designed to collaborate with research participants and practitioners in making use of our data and interpretations. We demonstrate how the various frameworks inform each other in an integrative fashion. The article sets the stage for 2 case studies presented in subsequent articles.