Since 2002, the number of veterans enrolled in universities has nearly doubled, although 30-40% of veterans fail to complete their degree. While research efforts to understand the challenges veterans face transitioning from military life to college has increased in recent years, few studies have looked beyond the effects of post-traumatic stress disorder (PTSD). Insomnia is the most frequently reported symptom of combat veterans and can have serious implications for college students. The purpose of this study was to examine the role of insomnia and student veteran adaptation to college relative to civilian students. College students (N = 588) were administered a Background Information Questionnaire, the Insomnia Severity Index, the Deployment Risk and Resilience Inventory, and the Student Adaptation to College Questionnaire. Results revealed that students with insomnia reported significantly lower adaptation to college than students without insomnia. Student veterans reported better academic and personal-emotional adaptation to college than civilian students, while civilians reported better social adjustment than veterans. Although combat veterans without insomnia scored consistently higher academic adjustment than non-combat veterans and civilian students, when present insomnia seemed to have a greater negative effect on combat veterans’ academic adjustment relative to civilian students. Furthermore, insomnia mediated the relationship between combat …

I analyzed the 2004 and 2006 Health and Retirement Study data to test structural equation models of the quality of life (QOL) construct. The participants (N = 1352) were non-institutionalized individuals aged 42 and older (M = 65.70, SD = 10.88), with an average education of 12.73 years (SD = 2.96) and of varied ethnicities. The results indicated that physical functioning, affective experience, life satisfaction and social support could serve as indicators for a second order QOL factor. Furthermore, the developed QOL model explained 96% of the variance of the CASP-19 (Control, Autonomy, Self-realization and Pleasure), a QOL measure that reflects fulfillment of psychological needs. The results also indicated that Depression and Life Satisfaction are related through reciprocal causation and that Physical Functioning is more likely to cause a change in Depression than the reverse. The results suggest that QOL is a complex, multidimensional concept that should be studied at different levels of analysis.

If mania and depression are part of the same pathological processes, one would predict that episodes of one prospectively increase the odds of episodes of the other. The aim of the present study was to test this hypothesis. For comparison purposes, their relationship was contrasted to the relationship between mania and periods of psychosis. Exploratory analyses also tested the degree to which episodes of each occur with greater frequency over time (i.e., kindling). Participants for the present study came from the Suffolk County Mental Health Project (N = 628), a study of first-admission patients with psychosis. Of these participants, 144 met diagnostic criteria for bipolar I disorder and were analyzed for the current study. Results indicated that mania in a given month predicted depression the following month, even after controlling for other symptoms. The reverse, however, was not the case. Mania and psychosis, in contrast, were found to be robust predictors of one another from month to month. Effects were not due to treatment or demographic differences. These findings provide evidence that mania and depression are weakly related. In contrast, mania and psychosis are more closely linked. Findings are consistent with suggestions that psychiatric nosology regroup mania more closely with …

It has long been recognized that childhood bereavement is a risk factor for depression in adulthood. Research also has consistently demonstrated that parental depression is linked to poor parent-child relationship quality. The current study examined whether bereavement in childhood increases likelihood of current depressive symptoms among parents and explored whether this vulnerability in the parent then alters the quality of the parent-child relationship. Archival data for a sample of 86 families (N=176 parents) are drawn from the Family & Kid Connection project led by Dr. Shelley Riggs. Instruments utilized include the Background Information Questionnaire, the Symptom Assessment-45 Questionnaire, and the Parenting Relationship Questionnaire. Using the Actor-Partner Interdependence Model, Multilevel Modeling procedures explored the hypothesis that parental depression mediates the association between parents’ childhood bereavement and their perception of the parent-child relationship. Results show a significant relationship between parental (actor) depressive symptoms and parent-child attachment, indicating the need for therapeutic interventions targeting the parent-child relationship, and not just parents, for parents suffering from depression.

The most effective and useful way to diagnose and subtype depression has been a long debated topic which even now does not have a definite answer. The biopsychosocial approach to diagnosis may be a solution to this problem by linking various etiologies to symptom presentation. The biopsychosocial model, in regard to depression, takes into account biological risk factors/contributors, psychological or cognitive risk factors/contributors, and social risk factors/contributors to depression when making diagnosis and subtyping determinations. However, the most effective way to use this model in the assessment, diagnosis, and treatment of depression is not yet clear. In this study, the utility of the biopsychosocial model as an effective approach to conceptualizing and treating depression was assessed by testing hypotheses that showed that etiological contributors are related to the presence and differential presentation of depression, and that these etiologically-based subtypes of depression respond differently to different forms of treatment. These hypotheses were tested using data from the National Comorbidity Survey - Replication (NCS-R). Results showed that the biopsychosocial model can effectively predict the presence, severity and chronicity of depression, and may inform specific biopsychosocially-based subtypes. No conclusions could be drawn regarding success in treatment based on the biopsychosocial model. Future directions …