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Research in the Joseph Gallo Lab focuses on the form and course of depression in older adults; treatment in primary care settings; the use of mixed methods in health services research; and the epidemiology of psychiatric disorders in the population. Using NIMH Epidemiologic Catchment Area survey data, we have conducted studies using novel statistical modeling (the MIMIC model) to explore how depression presents differently among older adults versus younger people. We are taking part in the long-term follow-up of PROSPECT (Prevention of Suicide in Primary Care Elderly – Collaborative Trial) — a randomized study of depression management in primary care practices — and have examined mortality as an outcome in the context of medical comorbidity.
Principal Investigator
Department
The Karen Bandeen-Roche Lab explores the application of underlying variable methods in epidemiologic and psychosocial research. Our team seeks to improve the ability to measure key outcomes like functional status and psychological disorders. Our other areas of statistical research include the study of classification and variance structure and multivariate survival analysis. We are deeply invested in the field of gerontology as well as ophthalmology and neurology.
Research in the Kimberly Skarupski Lab focuses on depression, geriatric medicine, psychiatry and the behavioral sciences. Recent studies have investigated various aspects of cognitive decline in biracial older adult and urban older adult community-based populations. Additional studies have investigated depression symptoms, disability and worship practices in older adults, with particular attention to racial disparities in these areas.
Research in the Laura Gitlin Lab focuses on aging in place, family caregiving, nonpharmacologic approaches to dementia care and functional disability. We study quality-of-life improvements for people with dementia or functional difficulties and their caregivers, including adaptive aids such as assistive devices and environmental modifications. Other research investigates disparities in mental health in older African Americans undergoing treatment for depression.
Research interests in the Matthew McNabney Lab include community-based long-term care.
Research interests in the Michelle Belantoni Lab include osteoporosis screening using heel ultrasonography and quality outcomes in post-acute care settings.
The Older Americans Independence Center (OAIC) studies frailty, an age-related condition in which older adults lose the capacity to cope with stressors and become vulnerable to functional decline, loss of independence and mortality. Since its original funding in 2003, the center has helped demonstrate that frailty is a syndrome caused by multiple biological mechanisms that are expressed through characteristics of decreased resiliency and reserve in older adults. The mission of OAIC is to provide a hypothesis-driven, frailty-focused, highly interdisciplinary center where supported investigators receive the expertise, resources and training necessary to make fundamental discoveries related to the origins and causes of frailty and then move these discoveries towards frailty-focused interventions.
Research in the Peter Abadir Lab focuses on the renin-angiotensin system (RAS), a signaling pathway that regulates blood pressure and has been linked independently to both aging and inflammation. We’re particularly interested in changes in RAS that occur with aging. We also study signal transduction and the role of the crosstalk between angiotensin II receptor in aging and are interested in understanding the function of angiotensin II in the process of vascular aging.
The Pilot and Exploratory Studies Core supports pilot and exploratory studies related to developing effective prevention of and therapies for frailty in older adults. Our objective is to facilitate independence in older adults. We provide funding; access to biostatistical, biological and clinical research core resources; and mentoring and oversight to completion of pilot and exploratory studies.
The primary area of statistical expertise in the Qian-Li Xue Lab is the development and application of statistical methods for: (1) handling the truncation of information on underlying or unobservable outcomes (e.g., disability) as a result of screening, (2) missing data, including outcome (e.g., frailty) censoring by a competing risk (e.g., mortality) and (3) trajectory analysis of multivariate outcomes. Other areas of methodologic research interests include multivariate, latent variable models. In Women's Health and Aging Studies, we have closely collaborated with scientific investigators on the design and analysis of longitudinal data relating biomarkers of inflammation, hormonal dysregulation and micronutrient deficiencies to the development and progression of frailty and disability, as well as characterizing the natural history of change in cognitive and physical function over time.
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