Core B builds on its extensive experience from the prior MIDUS project and will provide the resources and requisite expertise needed to collect and analyze all of the hematological, neuroendocrine, inflammatory and anti-oxidant indices, as well as the biochemical markers of bone turnover, for the proposed research. The BioCore already has the laboratory infrastructure and personnel skills to ensure the collection of reliable and comprehensive data through its centralized and high quality testing and record-keeping. The participant number and time line are in keeping with prior efforts and thus are essentially routine tasks for the BioCore. Specifically, Core B oversees the acquisition and processing of specimens from the regional sites, and either conducts the assays locally or oversees performance of the tests at the clinical laboratories. Our facility is also the initial repository for saliva samples used for assessing Cortisol and alpha-amylase levels, and is the primary liaison with the endocrine laboratory. Over 20,000 salivary specimens have already been processed in this manner. Finally, the BioCore has its own biochemical capabilities for analyses of cytokine levels, and the development of new procedues, and serves an archival function for the long-term storage of all urinary and serum/plasma specimens for the entire MIDUS program. In addition to facilitating the diagnostic testing, the Core is also responsible for the initial log entry of biological data into files of test results, and for resolving any queries or concerns about assay or test results. It oversees all aspects of quality assurance, including periodic Quality Control testing of assay reliability and determines the need for retesting of specimens. To facilitate the archival functions, the Core is the offical repository for all paper records on the hematological and neuroendocrine tests. The BioCore generates "norms" for all test results, both from the MIDUS data as well as via reference to other studies and clinical laboratory values, and thereby also serves a consulting role with respect to the validity and interpretation of physiological findings. During the course ofthe prior MIDUS project, for example, it became evident that some of the standard approaches used for analyzing certain clinical test measures were in need of modification and improvement. In sum, the BioCore provides an efficient, economical, and reliable means for centralized and standardized assessment of biological measures from multiple sites. Through Core B all biological measures for this large national survey are determined in the same testing laboratories using the identical assays with routine Quality Control checks.

Public Health Relevance

Inclusion of biomarkers and their reliable assessment overtime are critical components ofthe MIDUS project. One innovative feature of this project is the inclusion of so many biological measures in a population survey that also includes a comprehensive evaluation of demographic and psychosocial variables. The biomarker panel includes a representative set of well-validated measures associated with cardiovascular, metabolic, and bone health, as well as novel, cutting edge measures, such as urinary metabolomics.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG020166-09
Application #
8491980
Study Section
Special Emphasis Panel (ZAG1-ZIJ-1)
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
9
Fiscal Year
2013
Total Cost
$430,027
Indirect Cost
$150,501
Name
University of Wisconsin Madison
Department
Type
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Wiley, Joshua F; Gruenewald, Tara L; Karlamangla, Arun S et al. (2016) Modeling Multisystem Physiological Dysregulation. Psychosom Med 78:290-301
Stephan, Yannick; Sutin, Angelina R; Terracciano, Antonio (2016) Feeling older and risk of hospitalization: Evidence from three longitudinal cohorts. Health Psychol 35:634-7
Lee, Pai-Lin (2016) Control beliefs level and change as predictors of subjective memory complaints. Aging Ment Health 20:329-35
Leger, Kate A; Charles, Susan T; Turiano, Nicholas A et al. (2016) Personality and Stressor-Related Affect. J Pers Soc Psychol :
Taber, Jennifer M; Klein, William M P; Suls, Jerry M et al. (2016) Lay Awareness of the Relationship between Age and Cancer Risk. Ann Behav Med :
Briley, Daniel A; Tropf, Felix C; Mills, Melinda C (2016) What Explains the Heritability of Completed Fertility? Evidence from Two Large Twin Studies. Behav Genet :
Holahan PhD, Carole K; Holahan PhD, Charles J; Li Ms, Xiaoyin et al. (2016) Association of health-related behaviors, attitudes, and appraisals to leisure-time physical activity in middle-aged and older women. Women Health :1-16
Koffer, Rachel E; Ram, Nilam; Conroy, David E et al. (2016) Stressor diversity: Introduction and empirical integration into the daily stress model. Psychol Aging 31:301-20
Song, Jieun; Mailick, Marsha R; Greenberg, Jan S et al. (2016) Cognitive Aging in Parents of Children with Disabilities. J Gerontol B Psychol Sci Soc Sci 71:821-30
Zilioli, Samuele; Slatcher, Richard B; Chi, Peilian et al. (2016) Childhood Adversity, Self-Esteem, and Diurnal Cortisol Profiles Across the Life Span. Psychol Sci 27:1249-65

Showing the most recent 10 out of 412 publications