Eating disorders in a nonclinical adolescent population: implications for treatment

The present study investigates the prevalence of adolescent eating disorders across gender, cultural groupings, and socioeconomic status. The Eating Attitudes Test, the Binge-Eating Questionnaire, and a demographic questionnaire were administered to students at two high schools. The results indicate a high rate of eating disorders in a nonclinical adolescent population. The rates for binge eating are comparable to those found in studies of college students--found at a younger age. With regard to SES, cross-cultural and gender findings, it is clear that eating disorders cross socioeconomic class and ethnic groups, and have a higher rate of occurrence in males than previously reported. Given such high rates of eating problems in a nonclinical population, the issue of prevention and early detection must be addressed. Additionally, more specific information on male eating disorders is needed.     

The adaptive significance of destructiveness in primitive personalities

Destructiveness in primitive personalities is not restricted to a segment of the person as it is in the case of neurotics, but is global and pervasive. This destructiveness is meaningfully configured in a manner which cannot fully be accounted for by constitutional factors or be comprehended from the individual, intrapsychic, conflictual viewpoint of classical psychoanalysis. It follows an interpersonally meaningful pattern and therefore has adaptive significance in the contemporary life of the individual. The adaptive model I propose does not violate essential canons of psychoanalytic theory, for it can simultaneously be conceptualized in terms of intrapsychic structure and dynamics. This model holds out the possibility for a therapeutic approach to primitive personality organization which differs in some but by no means all respects from classical analysis.     

On working through: a model from artificial intelligence

Working through is centrally important to clinical psychoanalysis. It is inadequately explained in analytic theory. An artificial intelligence model of the process is proposed. Models of problem solving show that the complexity of necessary computation is an important determinant of how a problem is solved. Not optimal, but only good enough solutions are usually found. The quality of solutions depends on the time and resources available. Generally it is far easier to use existing methods than to develop new approaches. When problems must be solved in an emergency fashion, as in trauma, poor solutions are likely to emerge. In studying the annealing of metals and other complex optimization problems, a process, the Boltzman algorithm, was discovered, which continues the search for better solutions while gradually developing a coherent structure of the overall solution. The algorithm provides a model both for psychoanalytic working through and for the normally ongoing process of psychological development and reworking whose deficiency is characteristic of much psychopathology. Working through in the analytic situation is the reactivation of this normal process, and a good analytic outcome is achieved when the process can continue without the analyst. Properties of the Boltzman algorithm clarify such concepts as "optimal" frustration and anxiety which correspond to working in the area where the stable but not rigid structures emerge in the algorithms operation. These studies are an example of how computer science and artificial intelligence are a potentially rich source for psychoanalytic theory.