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Diabetic health disparities over the life course: race, class and gender
(Archived Project)
Investigator (PI): Nicklett, Emily Joy
Performing Organization (PO): (Current): University of Michigan, School of Public Health, Department of Health Management and Policy / (734) 764-5425
Supporting Agency (SA): Agency for Healthcare Research and Quality (AHRQ)
Initial Year: 2009
Final Year: 2010
Record Source/Award ID: CRISP/R36HS018276
Award Type: Grant
Abstract: The goal of this proposed research is to analyze disparities in the patterns and trajectories of diabetes. Specifically, it will identify the diverse pathways through which this chronic illness can unfold. This proposed research has three specific aims; it will examine disparities in the outcomes of diabetes by (1) race/ethnicity; (2) social class; and (3) gender. The outcomes examined will be self-reported health status, functional limitations, the onset of complications, and mortality. Longitudinal survey data will be examined from the eight-wave Health and Retirement Study (HRS) along with the 2003 HRS Diabetes Supplement. Multilevel modeling and survival analysis will be used to analyze, interpret, and classify individual and group-level curves of health, disability, and disease severity. As diabetes increases in prevalence, it will become increasingly important to identify the proximal and distal mechanisms by which chronic illness trajectories differ. No previous studies have adequately addressed this aim as proposed. Further, the identification of group-specific points of divergence throughout the life-course can enable more effective and efficient prevention practices and interventions. This project aims to identify characteristics and behaviors that are associated with better long-term outcomes with type 2 diabetes mellitus. Coupled with population aging, the increased incidence and prevalence of chronic illnesses will continue to become a major public health priority in the United States. Given demographic shifts in the population as well as high costs associated with complex chronic illnesses, interventions and prevention programs that appropriately target populations in greatest need will make a much-needed contribution to the field of health services research.
MeSH Terms:
  • Chronic Disease
  • Diabetes Mellitus, Type 2 /*diagnosis
  • /*ethnology /therapy
  • Ethnic Groups
  • Female
  • Health Status
  • * Health Status Disparities
  • Humans
  • Longitudinal Studies
  • Male
  • Outcome Assessment, Health Care
  • Program Development
  • Sex Factors
Country: United States
State: Michigan
Zip Code: 48109
UI: 20101346
Project Status: Archived