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Biosocial Surveys (2007)
Committee on Population (CPOP)

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. "4 Elastic Powers: The Integration of Biomarkers into the Health and Retirement Study--David Weir." Biosocial Surveys. Washington, DC: The National Academies Press, 2007.

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Biosocial Surveys

been considerable, and through their influence the elasticity of the entire field of population research has been renewed.

The scientific rationale for including biomarkers in HRS is not fundamentally different from the rationale for including them in any population survey concerned with health. They validate and add nuance to self-reports of health, they allow richer modeling of pathways of influence between the socioeconomic and the physical, and they may capture aspects of health unknown to survey participants. This chapter gives examples of how each of these are realized in the HRS. The development of biomarker data in other studies of older populations in the United States, such as the National Survey of Midlife Development in the United States (MIDUS) and the National Social Life, Health, and Aging Project (NSHAP), and outside the United States in the English Longitudinal Study of Ageing (ELSA) and the Mexican Health and Aging Study (MHAS), has both provided models of what can be done and created great potential for comparative work with the addition of such data to the HRS.

Because of the unique place of the HRS in population surveys of aging, however, the decision to add biology to the HRS involved a number of other considerations, several of which were clearly anticipated by Weinstein and Willis in their chapter of Cells and Surveys (Weinstein and Willis, 2001). The HRS is a large longitudinal study that serves a large constituency of researchers from many different disciplines. At last count, there were over 6,000 registered users of the data, and over 1,000 unique authors of written research using the data. Putting its traditional aims at risk through attrition of respondents or elimination of critical established content would have been unacceptable. Similarly, the confidentiality of respondents had to be protected, as well as the integrity of a longitudinal observation study not be transformed into an intervention study.

The ethical issues were considered carefully by the HRS investigators as well as the institutional review board (IRB) governing the study. Notifying respondents of the results of well-established and commonly available diagnostic tests was deemed an ethical responsibility that overrides any concern that the information might alter future behavior. Because the tests contemplated by HRS assess familiar risk factors and do not identify, for example, life-threatening cancers, the ethical conflict is not particularly difficult at this time. Biological material stored in repository for future use is governed by a separate IRB review. Respondents were asked to consent to having this material stored anonymously for future research. Ethical issues arising from any particular future test will need to be addressed at that time. For example, it is conceivable that some test of scientific value might not be permitted if it carried with it the ethical obligation to notify children or other nonparticipants of the possibility of an inherited disease,

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Front Matter (R1-R14)
Introduction--James W. Vaupel, Kenneth W. Wachter, and Maxine Weinstein (1-12)
Part I: What We've Learned So Far (13-14)
1 Biological Indicators and Genetic Information in Danish Twin and Oldest-Old Surveys--Kaare Christensen, Lise Bathum, and Lene Christiansen (15-41)
2 Whitehall II and ELSA: Integrating Epidemiological and Psychobiological Approaches to the Assessment of Biological Indicators--Michael Marmot and Andrew Steptoe (42-59)
3 The Taiwan Biomarker Project--Ming-Cheng Chang, Dana A. Glei, Noreen Goldman, and Maxine Weinstein (60-77)
4 Elastic Powers: The Integration of Biomarkers into the Health and Retirement Study--David Weir (78-95)
5 An Overview of Biomarker Research from Community and Population-Based Studies on Aging--Jennifer R. Harris, Tara L. Gruenewald, and Teresa Seeman (96-135)
6 The Women's Health Initiative: Lessons for the Population Study of Biomarkers--Robert B. Wallace (136-148)
7 Comments on Collecting and Utilizing Biological Indicators in Social Science Surveys--Duncan Thomas and Elizabeth Frankenberg (149-155)
8 Biomarkers in Social Science Research on Health and Aging: A Review of Theory and Practice--Douglas C. Ewbank (156-172)
Part II: The Potential and Pitfalls of Genetic Information (173-174)
9 Are Genes Good Markers of Biological Traits?--Mary Jane West-Eberhard (175-193)
10 Genetic Markers in Social Science Research: Opportunities and Pitfalls--George P. Vogler and Gerald E. McClearn (194-207)
11 Comments on the Utility of Social Science Surveys for the Discovery and Validation of Genes Influencing Complex Traits--Harald H.H. Göring (208-230)
12 Overview Thoughts on Genetics: Walking the Line Between Denial and Dreamland, or Genes Are Involved in Everything, But Not Everything Is "Genetic"--Kenneth M. Weiss (231-248)
Part III: New Ways of Collecting, Applying, and Thinking About Data (249-250)
13 Minimally Invasive and Innovative Methods for Biomeasure Collection in Population-Based Research--Stacy Tessler Lindau and Thomas W. McDade (251-277)
14 Nutrigenomics--John Milner, Elaine B. Trujillo, Christine M. Kaefer, and Sharon Ross (278-303)
15 Genoeconomics--Daniel J. Benjamin, Christopher F. Chabris, Edward L. Glaeser, Vilmundur Gudnason, Tamara B. Harris, David I. Laibson, Lenore J. Launer, and Shaun Purcell (304-335)
16 Mendelian Randomization: Genetic Variants as Instruments for Strengthening Causal Inference in Observational Studies--George Davey Smith and Shah Ebrahim (336-366)
17 Multilevel Investigations: Conceptual Mappings and Perspectives--John T. Cacioppo, Gary G. Berntson, and Ronald A. Thisted (367-380)
18 Genomics and Beyond: Improving Understanding and Analysis of Human (Social, Economic, and Demographic) Behavior--John Hobcraft (381-400)
Appendix: Biographical Sketches of Contributors (401-414)