The State and Future of Blood-Based Biomarkers in the Health and Retirement Study

Forum for Health Economics and Policy

Volumn 14, Issue 2, 2011, Pages

  McDade, Thomas ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Health and Retirement Study

Indexed keywords

EID: 84870021202     PISSN: None     EISSN: 15589544     Source Type: Journal    
DOI: 10.2202/1558-9544.1263     Document Type: Article

References (22)

1. Aiello A.E., Diez-Roux A., Noone A.M., Ranjit N., Cushman M., Tsai M.Y. and M. Szklo (2009). Socioeconomic and psychosocial gradients in cardiovascular pathogen burden and immune response: the multi-ethnic study of atherosclerosis. Brain, Behavior, and Immunity 23: 663-71.
2. Crimmins, E., Guyer, H., Langa, K., Ofstedal, M.B., Wallace, R. and D. Weir (2008). Documentation of biomarkers in the Health and Retirement Study. HRS Documentation Report DR-012.
3. Dantzer, R., O'Connor, J.C., Freund, G.G., Johnson, R.W. and K.W. Kelley (2008). From inflammation to sickness and depression: when the immune system subjugates the brain. Nature Reviews Neuroscience 9: 46-57.
4. Krabbe, K.S., M. Pedersen, and H. Bruunsgaard (2004). Inflammatory mediators in the elderly. Experimental Gerontology 39: 687-99.
5. Lindau, S.T. and T.W. McDade (2008). Minimally-invasive and innovative methods for biomeasure collection in population-based research. In Biosocial Surveys, Committee on Advances in Collecting and Utilizing Biological Indicators and Genetic Information in Social Science Surveys, M. Weinstein, J.W. Vaupel, and K.W. Wachter (eds), pp. 251-77.
6. Maggio, M., Guralnik, J.M., Longo, D.L. and L. Ferrucci (2006). Interleukin-6 in aging and chronic disease: A magnificent pathway. Journals of Gerontology Series A-Biological Sciences and Medical Sciences 61: 575-84.
7. McDade, T.W., Williams, S., and J.J. Snodgrass (2007). What a drop can do: Dried blood spots as a minimally-invasive method for integrating biomarkers into population-based research. Demography 44: 899-925.
8. McDade, T.W. and M.D. Hayward (2009). Rationale and methodological options for assessing infectious disease and related measures in social science surveys. Biodemography and Social Biology 55: 159-177.
9. McDade, T.W., S.T. Lindau, and K. Wroblewski (2010). Predictors of C-reactive protein the National Social Life, Health, and Aging Project. Journals of Gerontology Series B: Psychological Sciences and Social Sciences (early access).
10. Mei, J.V., J.R. Alexander, B.W. Adam and W.H. Hannon (2001). Use of filter paper for the collection and analysis of human whole blood specimens. Journal of Nutrition 131: 1631S-6S.
11. McEwen, B.S. (1998). Stress, adaptation and disease: Allostasis and allostatic load. Annals of the New York Academy of Sciences. 840: p. 33-44.
12. National Research Council (2008). Biosocial Surveys. Committee on Advances in Collecting and Utilizing Biological Indicators and Genetic Information in Social Science Surveys, M. Weinstein, J.W. Vaupel, and K.W. Wachter, (eds). Committee on Population, Division of Behavioral and Social Sciences and Education. Washington, DC: The National Academies Press.
13. Pearson, T. A., Mensah, G. A., Alexander, R. W., Anderson, J. L., Cannon, R. O., 3rd, Criqui, M., et al. (2003). Markers of inflammation and cardiovascular disease: application to clinical and public health practice: A statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation 107: 499-511.
14. Ranjit, N., Diez-Roux, A.V., Shea, S., Cushman, M., Ni, H. and T. Seeman (2007). Socioeconomic Position, Race/Ethnicity, and Inflammation in the Multi-Ethnic Study of Atherosclerosis. Circulation 116: 2383-90.
15. Seeman, T.E., B. Singer, J.W. Rowe, R.I. Horwitz, and B. McEwen (1997). Price of adaptation-Allostatic load and its health consequences. Archives of Internal Medicine. 157: p. 2259-68.
16. Soldo, B.J. and P.A. Anglewicz (2009). Minimally invasive collection of plasma in the field: Evaluation and early findings on adult health from Malawi. Presentation at the annual meeting of the Population Association of America, Detroit, MI, May 1.
17. Uddin, M., Aiello, A.E., Wildman, D.E., Koenen, K.C., Pawelec, G., de los Santos, R., Goldmann, E., and S. Galea. (2010). Epigenetic and immune function profiles associated with post-traumatic stress disorder. PNAS 7: 9470-5.
18. Waterland, R.A. and K.B. Michels (2007). Epigenetic epidemiology of the developmental origins hypothesis. Annual Review of Nutrition 37: 363-88.
19. Weir, D. (2008). Elastic powers: The integration of biomarkers into the Health and Retirement Study. In Biosocial Surveys, Committee on Advances in Collecting and Utilizing Biological Indicators and Genetic Information in Social Science Surveys, M. Weinstein, J.W. Vaupel, and K.W. Wachter (eds), pp. 78-95.
20. Williams, S.R. and T.W. McDade (2009). The use of dried blood spot sampling in the National Social Life, Health, and Aging Project. Journals of Gerontology Series B Psychological Sciences and Social Sciences 64: 131-136.
21. Worthman, C.M. and J.F. Stallings (1997). Hormone measures in finger-prick blood spot samples: New field methods for reproductive endocrinology. American Journal of Physical Anthropology 104: 1-22.
22. Zhu, J., Quyyumi, A.A., Norman, J.E., Csako, G., Waclawiw, M.A., Shearer, G.M., and S.E. Epstein (2000). Effects of total pathogen burden on coronary artery disease risk and C-reactive protein levels. The American Journal of Cardiology 85: 140-146.