Thesis (Ph. D.)--Lehigh University, 1998. / Includes vita. Includes bibliographical references (leaves 87-105).

Thesis (doctoral)--Westfälischen Wilhelms-Universität zu Münster, 1995. / Includes bibliographical references.

Thesis (doctoral)--Westfälischen Wilhelms-Universität zu Münster, 1995. / Includes bibliographical references.

Thesis (Ph.D.) - University of Queensland, 2005. / Includes bibliography.

Thesis (Ph. D.)--University of Texas at Austin, 2004. / Supervisors: Kevin Stark and Sheri Robinson. Vita. Includes bibliographical references.

Background: Research on adolescent mental health suggests that prevalence rates for depressed mood are not uniformly distributed across all populations. This study examined demographic difference in depressed mood among a nationally representative sample of high school adolescents. Methods: The 2003 National Youth Risk Behavior Survey was utilized to examine the association between depressed mood and demographic variables. To examine demographic associations, chi-square and follow-up logistic regression models were created for the sample of high school adolescents (N = 15,214). Results: Caucasians and African Americans were significantly less likely to report depressed mood when compared to Hispanics and Others. Women were also more likely than men to report depressed mood. No significant differences were observed among levels of urbanicity and age. Conclusions: An understanding of the difference in the prevalence and correlates of depressed mood among adolescents of various ethnic/racial and gender groups deserves increased attention. Given the fact that challenges with depressed mood in adolescents can be substantial and relatively unrecognized, there is an increased need to identify these adolescents early and intervene with culturally appropriate interventions.

The present study attempted to incorporate several tests that had specific indices for identifying memory malingering into a battery for the assessment of memory malingering. Two measures, a famous faces test and a subjective memory questionnaire were constructed originally by the author. These measures were pilot-tested on a group of demented community geriatric participants (n=10) and control geriatric participants (n = 12). Three indices indicative of memory malingering in Hong Kong List Learning Test (HKLLT) were explored. The indices of the HKLLT, the two new measures and the Test of Memory Malingering were incorporated into a battery for detection of memory malingering. Using an analogue design, the battery was tested on a group of community participants (N = 58) who were randomized into two conditions, simulated malingering (SM) condition (n = 25, one was excluded because of non-compliance to experimental instructions) and true effort (TE) condition (n = 32). Participants in the SM group were given instruction to exaggerate memory complaints after a hypothetical head injury while the TE condition instructed participants to do his/her best. The subjects were tested on 6 measures of the battery and 2 other tests. A manipulation check was also completed. The results indicated significant difference between the two conditions on all the measures. The cut-off scores of the measures attained sensitivity from .4 to .84 and specificity of .9 to 1. Using discriminant analysis, the overall hit rate was 93% and using logistic regression, the overall hit rate was 98%. The measures were then tested on a group of depressed patients (N = 39) who were randomized into SM (n = 19) and TE condition (n = 20). Manipulation check indicated that about 80% of depressed participants of SM group were unable to comply with malingering instruction. Analysis was then done to compare the performance of community SM sample (n = 25) with community TE sample (n = 32) and depressed TE sample (n = 20). Results found significant difference between simulated malingering and control and depressed sample respectively. No significant difference was found between community control and depressed sample. Using the cut-off scores obtained from the normal sample, specificity of depressed sample on 3 measures was lowered. Using discriminant analysis and logistic regression, two-group classification (simulated malingering and non-simulated malingering) reached an overall hit rate of 92% and 94% respectively. Using 4 indictors of the battery achieved sensitivity of 68%, specificity of 100 % in normal control and 100% in depressed sample. The effect of depression, base rate of malingering in affecting the classification, the issue of use of simulation in research design and future research direction was discussed. / Chang Suk Yi Sonia. / "July 2006." / Adviser: Agnes Chan. / Source: Dissertation Abstracts International, Volume: 68-03, Section: B, page: 1919. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2006. / Includes bibliographical references (p. 156-179). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [200-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts in English and Chinese. / School code: 1307.

Thesis (Ph. D.)--University of Oregon, 2003. / Typescript. Includes vita and abstract. Includes bibliographical references (leaves 76-87). Also available for download via the World Wide Web; free to University of Oregon users.

Despite consistent evidence that adolescent girls are at greater risk for developing depression than adolescent boys (Ge, Lorenz, Conger, & Elder, 1994; Nolen-Hoeksema, 1987, 1990; Weissman, Leaf, Holzer, Myers, & Tischler, 1984), and that women continue to predominate among depressed adults throughout the lifespan (Kessler, McGonagle, Swartz, Blazer & Nelson, 1993), few studies have examined the etiologic risk factors that predict depression for adolescent girls using a prospective design or examined differential processes of risk in a sample of adolescent girls and boys. Furthermore, although a number of variables have been implicated as risk factors for depressive symptoms or onset of depression among adolescents, some methodological limitations exist. The objective of this research was to examine a set of risk factors suspected to predict depression in adolescents, and to test whether gender moderates these relations. Secondly, this study examined a set of risk factors proposed by the gender additive model of depression (Stice et al., 2000; Stice & Bearman, 2001) that attempts to partially explain the increased prevalence of depressive symptoms in adolescent girls compared to boys. Finally, exploratory classification tree analyses tested for interactions between risk factors that might signal differential pathways to depression. This research provides insight into the etiology of adolescent depression as well as the disparate rate of depression among adolescent girls versus boys, and also provides direction for identifying high-risk individuals and developing effective prevention programs. / text

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