The Arizona ADC Data Management and Statistics Core (DMSC) is responsible for maintaining the data acquisition and integration infrastructure for the Arizona ADC, assuring overall data quality and conformance to the UDS, facilitating the accessibility to data for designated investigators, and developing novel methods of analysis and data mining techniques to advance research on age-related dementia and cognitive decline. In the current application, our goal is to strengthen the role of the DMSC in supporting the growth of our ADC through three Specific Aims: (1) to provide quality data management, statistical analysis and experimental design support for center investigators, (2) to facilitate access and use of the integrated data for research, recruitment, and retention efforts, and (3) to actively participate in research collaborations to advance the center's objectives. Particularly, we will: (la) Provide a complete, accurate, standardized, and carefully maintained centralized database to characterize the demographic, clinical, neuropsychological, genetic, and neuropathological features of subjects enrolled and followed in the individual sites that are part of the Arizona ADC. (lb) Provide data collection mechanisms that are compliant with the Uniform Data Set (UDS) with field and cross-field validations to prevent errors at the data collection point. (1c) Assure ADC investigators access to high quality statistical analysis and experimental design support for new proposals and ongoing projects. (2a) Provide online access to the centralized subject database to support ongoing and new research proposals and clinical trials while ensuring the protection of subject confidentiality for all research participants. (2b) Incorporate mechanisms that allow tracking of referral sources and other data useful for recruitment and retention initiatives of the Education and Clinical Cores. (3a) To comply with all requests for data sharing and coordinate data correction and audit requests from the National Alzheimer's Coordinating Center (NACC). (3b) To develop novel methods of analysis and novel applications of existing data mining and analytic techniques to advance research on age-related dementia and cognitive decline. (3c) To facilitate the ADC's participation in productive collaborations and in the sharing of data through participation in cooperative studies with other ADCs, the NACC, and other researchers both inside and outside of Arizona. Additional funding will be sought for creating a data warehouse with easy-to-use interface.

Public Health Relevance

The Data Management and Statistics group of the Arizona Alzheimer's Disease Center facilitates the use of the participant data for advancing detection and prevention of Alzheimer's disease; assisting researchers with experimental design and analysis; and exploring novel methods of analysis and data mining. The group manages all (de-identified) participant data; providing a data entry system; integrating the data into a central location; and providing feedback to ensure data quality.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
6P30AG019610-14
Application #
8796286
Study Section
Special Emphasis Panel (ZAG1-ZIJ-5)
Project Start
Project End
Budget Start
2013-12-01
Budget End
2014-06-30
Support Year
14
Fiscal Year
2013
Total Cost
$120,670
Indirect Cost
Name
Banner Health
Department
Type
DUNS #
071753982
City
Phoenix
State
AZ
Country
United States
Zip Code
85006
Limback-Stokin, Martin M; Krell-Roesch, Janina; Roesler, Kimberly et al. (2018) Anticholinergic Medications and Cognitive Function in Late Midlife. Alzheimer Dis Assoc Disord 32:262-264
Davis, Jeremy J (2018) Performance validity in older adults: Observed versus predicted false positive rates in relation to number of tests administered. J Clin Exp Neuropsychol 40:1013-1021
Woods, Adam J; Cohen, Ronald; Marsiske, Michael et al. (2018) Augmenting cognitive training in older adults (The ACT Study): Design and Methods of a Phase III tDCS and cognitive training trial. Contemp Clin Trials 65:19-32
Hamed, Moath; Schraml, Frank; Wilson, Jeffrey et al. (2018) Occipital and Cingulate Hypometabolism are Significantly Under-Reported on 18-Fluorodeoxyglucose Positron Emission Tomography Scans of Patients with Lewy Body Dementia. J Alzheimers Dis Parkinsonism 8:
Ramsey, Christine M; Gnjidic, Danijela; Agogo, George O et al. (2018) Longitudinal patterns of potentially inappropriate medication use following incident dementia diagnosis. Alzheimers Dement (N Y) 4:1-10
Mitchell, Jamie A; Cadet, Tamara; Burke, Shanna et al. (2018) The Paradoxical Impact of Companionship on the Mental Health of Older African American Men. J Gerontol B Psychol Sci Soc Sci 73:230-239
Hadjichrysanthou, Christoforos; McRae-McKee, Kevin; Evans, Stephanie et al. (2018) Potential Factors Associated with Cognitive Improvement of Individuals Diagnosed with Mild Cognitive Impairment or Dementia in Longitudinal Studies. J Alzheimers Dis 66:587-600
Lin, Ming; Gong, Pinghua; Yang, Tao et al. (2018) Big Data Analytical Approaches to the NACC Dataset: Aiding Preclinical Trial Enrichment. Alzheimer Dis Assoc Disord 32:18-27
Hanfelt, John J; Peng, Limin; Goldstein, Felicia C et al. (2018) Latent classes of mild cognitive impairment are associated with clinical outcomes and neuropathology: Analysis of data from the National Alzheimer's Coordinating Center. Neurobiol Dis 117:62-71
Kirson, Noam Y; Scott Andrews, J; Desai, Urvi et al. (2018) Patient Characteristics and Outcomes Associated with Receiving an Earlier Versus Later Diagnosis of Probable Alzheimer's Disease. J Alzheimers Dis 61:295-307

Showing the most recent 10 out of 794 publications