The Overview to our Center application elucidates our vision of how and why late life depression prevention effectiveness research must be advanced in the next five years. The Research Methods Core (RMC) will provide the infrastructure to support the development of innovative methodologies to address the research issues and goals that emerge from this vision. Thus, the RMC will forge methodologic bridges between the Center's overall vision, on the one hand, and the research to be accomplished in order to meet it. An equally important RMC goal is to contribute to progress of the science of prevention research?at both the level of effectiveness assessment and the level of sustainability and transfer?within the mental health and aging research and practice communities. The RMC will accomplish these objectives through the efforts of a unified, multidisciplinary team of methodologists. This team will be organized into three subgroups (Units) with expertise brought to bear on specific methodologic areas: 1. The Assessment of Risk and Intervention Outcomes Unit will focus on the development and application of a new generation of electronic assessment strategies for measuring both risk factors and intervention outcomes in depression prevention trials. Domains of focus include the measurement of depressive symptoms and symptoms of other comorbidities;cognitive status;and overall functional status and disability. 2. The Research Design and Biostatistics Unit will focus on the development and application of models to characterize dynamic patterns of risk factors and transition between states/levels of depression, as well as on the development of methods to promote the efficient analysis of data from response-adaptive allocation research designs. 3. The Implementation. Portabilitv. Sustainabilitv and Migration Unit will focus on the application of tools to promote intervention dissemination and sustainability, with an emphasis on the use of methods that better characterize the content and delivery of interventions, as well as determine interventions'economic feasibility. Moreover, this Unit will work on the development and initial testing of strategies to migrate traditional interventions to electronic delivery modes. Within each RMC Unit, work will be pursued at two levels of function: (a) direct research investigation of new tools and approaches, utilizing the Principal Research Core projects as critical platforms for this work and (b) dissemination and training efforts both within and beyond the Center, involving close liaisons with the Operations Core so that new RMC tools and approaches can be smoothly transferred to the Operations Core 'loolbox"""""""" of Center resources and strategies.

Public Health Relevance

The Research Methods Core (RMC) will support the development of methodological advances essential for the science of depression prevention, including new methods for assessment, statistical modeling of risk and outcomes of interventions, and dissemination of effective interventions. Work to be pursued will employ Principal Research Core projects as critical platforms for testing new methodologic tools, and results of this work will then be transferred to the Operations Core to be added to the toolbox of Center resources and strategies available for depression prevention researchers.

National Institute of Health (NIH)
National Institute of Mental Health (NIMH)
Center Core Grants (P30)
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Special Emphasis Panel (ZMH1-ERB-F)
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University of Pittsburgh
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Miller, Rachel G; Anderson, Stewart J; Costacou, Tina et al. (2018) Hemoglobin A1c Level and Cardiovascular Disease Incidence in Persons With Type 1 Diabetes: An Application of Joint Modeling of Longitudinal and Time-to-Event Data in the Pittsburgh Epidemiology of Diabetes Complications Study. Am J Epidemiol 187:1520-1529
Gebara, Marie Anne; DiNapoli, Elizabeth A; Kasckow, John et al. (2018) Specific depressive symptoms predict remission to aripiprazole augmentation in late-life treatment resistant depression. Int J Geriatr Psychiatry 33:e330-e335
Okereke, Olivia I; Reynolds 3rd, Charles F; Mischoulon, David et al. (2018) The VITamin D and OmegA-3 TriaL-Depression Endpoint Prevention (VITAL-DEP): Rationale and design of a large-scale ancillary study evaluating vitamin D and marine omega-3 fatty acid supplements for prevention of late-life depression. Contemp Clin Trials 68:133-145
Gebara, Marie Anne; Kasckow, John; Smagula, Stephen F et al. (2018) The role of late life depressive symptoms on the trajectories of insomnia symptoms during antidepressant treatment. J Psychiatr Res 96:162-166
Cohen, Alex; Dias, Amit; Azariah, Fredric et al. (2018) Aging and well-being in Goa, India: a qualitative study. Aging Ment Health 22:168-174
Chen, Jie; Bloodworth, Robin; Novak, Priscilla et al. (2018) Reducing Preventable Hospitalization and Disparity: Association With Local Health Department Mental Health Promotion Activities. Am J Prev Med 54:103-112
Wei, Wenjing; Karim, Helmet T; Lin, Chemin et al. (2018) Trajectories in Cerebral Blood Flow Following Antidepressant Treatment in Late-Life Depression: Support for the Vascular Depression Hypothesis. J Clin Psychiatry 79:
Karim, Helmet T; Wang, Maxwell; Andreescu, Carmen et al. (2018) Acute trajectories of neural activation predict remission to pharmacotherapy in late-life depression. Neuroimage Clin 19:831-839
Rodakowski, Juleen; Reynolds 3rd, Charles F; Lopez, Oscar L et al. (2018) Developing a Non-Pharmacological Intervention for Individuals With Mild Cognitive Impairment. J Appl Gerontol 37:665-676
Smagula, Stephen F; Lotrich, Francis E; Aizenstein, Howard J et al. (2017) Immunological biomarkers associated with brain structure and executive function in late-life depression: exploratory pilot study. Int J Geriatr Psychiatry 32:692-699

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