Health habits and depression in adolescence

In a study of the relationship between health habits and depression, 80 high school students, selected on an availability basis, were administered a Health Behaviors Questionnaire (HBQ) and the Beck Depression Inventory (BDI). The HBQ and the BDI significantly correlated (r=0.43p<0.01). Those who smoked were more frequently depressed than those who did not (X ²=10.5p<0.05), and those who used drugs other than marijuana were depressed more frequently than those who did not (X ²=9.2p<0.01). Mildly overweight boys (overweight by more than 5% of their ideal weight) and mildly under-weight boys (underweight by more than 5% of their ideal weight) were moreThis research was supported in part by a grant from the American Diabetes Association and by National institute of Health Grant MH 15529.Received his M.D. at George Washington School of Medicine. Major interest is interface of child psychiatry and pediatrics.Received his M.D. at Downstate Medical Center, State University of New York. Major interest is metabolic changes in adolescence.Received her M.A. from Queens College, New York. Major interest is measurement of human behavior.Received his M.D. from the University of Wisconsin. Major interest is adolescent sexuality.Received her Ph.D. in psychology from Hofstra University. Major interest is evaluation of clinical programs. depressed than boys of normal weight (p<0.02). The more pounds underweight the girls were, the more depressed they were (r=0.482, p<0.05). The closer the weight of a girl who perceived herself as overweight was to her ideal weight, the more depressed she was (r=–0.428,p<0.05).     

Dimensions of adolescent self-images

Using techniques derived from information theory, structural dimensions of adolescent self-images were studied. Within a sample of 58 adolescents, patients and normals, a variety of self-images were obtained using a specially designed Q-sort. The initial hypothesis predicted, on the basis of previous findings, that the idealized self-images would be more polarizedfor the patients. This hypothesis was only partiallyconfirmed. the self-idealization was significantly more polarized in the patient group. But the other two idealizations (those based on parental expectations) did not reflect a patient-normal difference. Rather, a significant three-way interaction of sex, age, and psychiatric status was found for these self-images, as well as for the current self-image. The consistent pattern in these three-way interactions was that late-adolescent boys polarized their self-images if they were in the normal group and had structurally complex (nonpolarized) self-images if they were in the patient group. The paper concludes by discussing the meaning of these findings. A framework for interpreting polarization is proposed and applied to the results. In addition, the notion of a Self-Image Profile is formulated and further elaborated. Finally, the relevance of these studies to other personality research and clinical observations is considered.This investigation was supported in part by a Research Scientist Development Award, Number K1-70-178, to S.T.H.Received M.A. in social anthropology from Harvard University and M.D. from Yale University. Candidate, Boston Psychoanalytic Institute, 1969-. Currently studying self-image and cognitive development in populations of normal and psychiatrically impaired adolescents, from individual and group perspectives.Received M.D. from the University of Chicago; attended the Chicago Psychoanalytic Institute (1952–1954) and the Washington Psychoanalytic Institute (1954–1961). Presently on staff of Washington School of Psychiatry and Washington Psychoanalytic Institute. Major research interests are adolescence and the family and psychoanalytic-oriented treatment in conjunction with a ward or in-patient milieu therapy. Specific interest is identity formation of adolescence.     

Identity Orientation, Voice, and Judgments of Procedural Justice During Late Adolescence

This study focused on the relationship between voice and judgments of procedural justice in a sample of older adolescents and examined potential moderating and mediating influences of identity orientation (personal, social, and collective) and negative emotional response. Participants read 1 of 2 different family conflict scenarios (voice and no voice) asking them to imagine themselves in a disagreement with their parents over grades and financial support. In the voice condition, parents were described as making their decision after listening to the participant’s input. In the no voice condition, parents were described as making their decision without listening to the participant’s input. The adolescents then judged the fairness of the parental decisions and responded to questions concerning their identity orientation. Findings indicate that in addition to replicating the effect of voice in a novel context, the present investigation found moderating effects of personal identity orientation on procedural fairness judgments. Additionally, negative emotional response partially mediated the relationship between voice and global judgments of procedural fairness.Mark R. Fondacaro is an Associate Professor of Psychology and Associate Director of the Levin College of Law Center on Children and Families at the University of Florida. He received his Ph.D. in clinical psychology from Indiana University and his J.D. from Columbia University School of Law. His major research interests are ecological jurisprudence and the conceptualization and assessment of procedural justice in legal and extra-legal contexts including the family and the juvenile justice and health care systems.Eve M. Brank is an Assistant Professor of Criminology, Law & Society at the University of Florida. She received her Ph.D. in social psychology and her J.D. from the University of Nebraska, Lincoln. Her major research interests are parental responsibility laws and juvenile law issues.Jennifer Stuart is a graduate student in counseling psychology at the University of Florida. Her major research interests are adolescent development and delinquency prevention.Sara Villanueva-Abraham received her Ph.D. in developmental psychology from the University of Florida. Her major research interests are adolescent development and parent-child relationships.Jennifer Luescher is a Forensic Psychology Postdoctoral Fellow at the University of Massachusetts, Boston. She received her Ph.D. in counseling psychology from the University of Florida. Her major research interests are in the areas of procedural justice, risk assessment and risk management, and mental health and juvenile justice policy.Penny S. McNatt is a Visiting Assistant Professor at the University of North Florida. She received her Ph.D. in social psychology from the University of Florida. Her major research interests are in the area of intergroup relations.     

Perceptions of the existence and causes of structural violence in Ogoni communities,Nigeria

This article explores the perceptions of Ogoni people about the existence and causes of structural violence in their communities. It relies heavily on qualitative data collected from five oil-rich and three oil-poor Ogoni communities, between February and May 2014, during which 200 open-ended survey questionnaires were administered and 189 were returned. Three focus group discussions and 69 key informant interviews were also conducted. The findings of the article are that structural violence can be found in Ogoniland; it is manifested in both visible and invisible forms; it is blamed by elites on exogenous factors, but by the disadvantaged on both exogenous and endogenous factors; and it will only be eliminated by reducing inequality and increasing democratisation.     

The influences of chronic illness and ego development on self-esteem in diabetic and psychiatric adolescent patients

Self-esteem as measured by the Coopersmith Self-Esteem Inventory [Coopersmith, S. (1967),The Antecedents of Self-Esteem, Freeman, San Francisco] and ego development as measured by the Washington University Sentence Completion Test [Loevinger, J., and Wessler, R. (1970),Measuring Ego Development, Vol. I, Jossey-Bass, San Francisco] were evaluated in three groups of early adolescents: diabetic patients, nonpsychotic psychiatric patients, and a nonpatient group of high-school students. We found that low levels of ego development were associated with low levels of global and domain-specific self-esteem in all three subject groups. Levels of self-esteem among diabetic patients were not significantly different from those of nonpatients. While psychiatric patients had significantly lower self-esteem levels than the other groups, this difference was accounted for by preconformists, i.e., those at the lowest stages of ego development. Psychiatric patients reaching higher ego levels showed self-esteem levels indistinguishable from those of the diabetics and nonpatients.This study was supported by the youth development project of the Joslin DRTC (NIH AM20530-01), a grant from the Joslin Diabetes Center (NIH-BRSG), and NIH Grant AM27845. The authors thank John Houlihan, M.A., for statistical and computer consultations and Jennifer Johnson for data analyses.Received M.D. from The University of Chicago. Currently studying psychosocial consequences of diabetes mellitus.Received M.D. from Yale University and Ph.D. from Harvard University (Psychology). Currently studying family contexts of adolescent development.Received Ed.D. from Harvard University (School of Education). Currently studying family coping processes in response to stressful events.Received Dipl. Psych. from Freie Universitat, Berlin (Clinical Psychology). Currently studying relationships between psychopathology and development among adolescent psychiatric patients.     

USING LINEAR TREND MODELS TO ANALYZE POLICY IMPACT

Policy researchers have become increasingly familiar with a number of improved techniques for analyzing data obtained from interrupted time-series designs for evaluating public programs and policies. In this paper we contribute to this trend by presenting two groups of data analysis techniques which are not currently widely used by policy researchers, but are likely to be valuable adjuncts to traditional regression techniques for analyzing data obtained from interrupted time-series designs. First, aids for model specification are presented that enable the analyst to define an appropriate linear trend model—often one which will reduce the degree of multicollinearity and, therefore, produce more precise estimates of the impacts of a public program or policy. Next we consider approaches for point estimation and joint (simultaneous) interval estimation of a policy intervention's total effect at various points in time.