Applied Research and Surveillance
Applied research includes studies to identify risk factors that can change; determine the effectiveness of interventions at the individual, health care system, community, and policy levels; and prioritize the value of successful interventions.
Surveillance involves the collection and analysis of data to identify the burden and magnitude of diabetes and its related conditions; valuate the impact of diabetes prevention programs; guide decision-making; and prioritize national public health objectives.
- Novel Approaches to State-level Diabetes and Prediabetes Surveillance
This study examines the feasibility of using a variety of data sources in innovative ways to estimate diabetes (including undiagnosed diabetes), prediabetes, and related health problems at the state level.
- Longitudinal Epidemiologic Assessment of Diabetes Risk (LEADR)
The LEADR project established a population-based cohort using electronic health records from DARTnet, a collaboration of practice-based research networks, to assess incidence of type 2 diabetes; identify traditional and emerging risk factors for type 2 diabetes; develop and test strategies for identifying people at risk of developing type 2 diabetes; and assess the availability, delivery, and impact of type 2 diabetes preventive care, counseling, and referral to diabetes prevention programs.
- Location, Environmental Attributes, and Disparities (LEAD) Study
The LEAD study examines community characteristics associated with geographic disparities and cardiometabolic health.
- SEARCH for Diabetes in Youth Studyexternal icon (Population-based Diabetes in Youth Registry)
SEARCH monitors how many US children and adolescents are affected by diabetes, how many are newly diagnosed, and whether diabetes is increasing over time. SEARCH is the first and only ongoing assessment of trends in type 1 and type 2 diabetes in youth.
- Diabetes in Young Adults (DiYA) Study
The DiYA study assesses new cases of type 1 and type 2 diabetes in young adults (aged 20–45 years) using data from Kaiser Permanente in California. Although half of the cases of type 1 diabetes occur in adulthood, there are very limited data on the incidence of type 1 diabetes in the U.S. adult population.
- Westreich KD, Isom S, Divers J, D’Agostino R, Lawrence JM, Kanakatti Shankar R, Dolan LM, Imperatore G, Dabelea D, Mayer-Davis EJ, Mottl AK. Trajectories in estimated glomerular filtration rate in youth-onset type 1 and type 2 diabetes: The SEARCH for Diabetes in Youth Study.external icon J Diabetes Complications. 2021 Feb;35(2):107768.
- Poulsen MN, Schwartz BS, Nordberg C, DeWalle J, Pollak J, Imperatore G,Mercado CI, Siegel KR, Hirsch AG. Association of greenness with blood pressure among individuals with type 2 diabetes across rural to urban community types in Pennsylvania, USA.external icon Int J Environ Res Public Health. 2021 Jan 13;18(2):614.
- Schwartz BS, Pollak J, Poulsen MN, Bandeen-Roche K, Moon K, DeWalle J, Siegel K, Mercado C, Imperatore G, Hirsch AG. Association of community types and features in a case-control analysis of new onset type 2 diabetes across a diverse geography in Pennsylvania.external icon BMJ Open. 2021 Jan 13;11(1):e043528.
- Lawrence JM, Slezak JM, Quesenberry C, Li X, Yu L, Rewers M, Alexander JG, Takhar HS, Sridhar S, Albright A, Rolka DB, Saydah S, Imperatore G, Ferrara A. Incidence and predictors of type 1 diabetes among younger adults aged 20-45 years: The Diabetes in Young Adults (DiYA) Study.external icon Diabetes Res Clin Pract. 2021 Jan;171:108624.