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Excerpt
New kids on the block! This volume spreads the word. Population-based sample surveys that combine demographic, social, and behavioral data with biological indicators have arrived in town. The subtitle of the precursor to this volume, Cells and Surveys, was the question “Should biological measures be included in social science research?” In practice, that question seems to be already answered: yes. Social surveys that include the collection of biological data have proliferated since that volume's publication in 2001. Are these new studies going to be our friends?
Contents
- THE NATIONAL ACADEMIES
- COMMITTEE ON ADVANCES IN COLLECTING AND UTILIZING BIOLOGICAL INDICATORS AND GENETIC INFORMATION IN SOCIAL SCIENCE SURVEYS
- COMMITTEE ON POPULATION 2006-2007
- Acknowledgments
- IntroductionJames W. Vaupel, Kenneth W. Wachter, and Maxine Weinstein.
- I. What We've Learned So Far
- 1. Biological Indicators and Genetic Information in Danish Twin and Oldest-Old SurveysKaare Christensen, Lise Bathum, and Lene Christiansen.
- CHALLENGES IN THE SEARCH FOR DETERMINANTS OF HEALTHY AGING AND LONGEVITY
- THE DANISH SURVEYS OF TWINS AND THE OLDEST-OLD
- IMPORTANT FINDINGS DUE TO INCLUSION OF BIOLOGICAL INDICATORS IN THE DANISH SURVEYS
- STUDIES OF BIOLOGICAL INDICATORS FOR HEALTHY AGING USING SELECTED SUBGROUPS IN THE SURVEYS
- SURVEYS AS A SCREENING INSTRUMENT TO IDENTIFY CASES FOR ANCILLARY STUDIES
- A NEW BIOLOGICAL INDICATOR OF AGING: PERCEIVED AGE
- OTHER BIOMARKERS
- CONCLUSION
- REFERENCES
- 2. Whitehall II and ELSA: Integrating Epidemiological and Psychobiological Approaches to the Assessment of Biological IndicatorsMichael Marmot and Andrew Steptoe.
- 3. The Taiwan Biomarker ProjectMing-Cheng Chang, Dana A. Glei, Noreen Goldman, and Maxine Weinstein.
- 4. Elastic Powers: The Integration of Biomarkers into the Health and Retirement StudyDavid Weir.
- 5. An Overview of Biomarker Research from Community and Population-Based Studies on AgingJennifer R. Harris, Tara L. Gruenewald, and Teresa Seeman.
- BIOMARKERS IN COMMUNITY- OR POPULATION-BASED STUDIES
- BIOMARKERS AND AGING
- GENETIC AND ENVIRONMENTAL INFLUENCES ON RISK FACTORS FOR CARDIOVASCULAR DISEASE
- SOCIAL AND PSYCHOLOGICAL FACTORS
- BEHAVIOR GENETICS
- BIOMARKERS OF COGNITIVE AGING
- BIOMARKERS OF PHYSICAL FUNCTION AND AGING
- INDICES OF CUMULATIVE BIOLOGICAL RISK
- RELATIONSHIP BETWEEN BIOMARKERS AND GENETIC PLEIOTROPY
- SUMMARY AND FUTURE DIRECTION
- REFERENCES
- 6. The Women's Health Initiative: Lessons for the Population Study of BiomarkersRobert B. Wallace.
- 7. Comments on Collecting and Utilizing Biological Indicators in Social Science SurveysDuncan Thomas and Elizabeth Frankenberg.
- 8. Biomarkers in Social Science Research on Health and Aging: A Review of Theory and PracticeDouglas C. Ewbank.
- 1. Biological Indicators and Genetic Information in Danish Twin and Oldest-Old Surveys
- II. The Potential and Pitfalls of Genetic Information
- 9. Are Genes Good Markers of Biological Traits?Mary Jane West-Eberhard.
- 10. Genetic Markers in Social Science Research: Opportunities and PitfallsGeorge P. Vogler and Gerald E. McClearn.
- 11. Comments on the Utility of Social Science Surveys for the Discovery and Validation of Genes Influencing Complex TraitsHarald H.H. Göring.
- 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.
- 9. Are Genes Good Markers of Biological Traits?
- III. New Ways of Collecting, Applying, and Thinking About Data
- 13. Minimally Invasive and Innovative Methods for Biomeasure Collection in Population-Based ResearchStacy Tessler Lindau and Thomas W. McDade.
- ISSUES IN THE APPLICATION OF MINIMALLY INVASIVE METHODS
- BIOMEASURES AND TECHNOLOGIES WITH ESTABLISHED USE IN THE POPULATION SETTING
- TRANSLATION OF ESTABLISHED CLINICAL TECHNOLOGIES TO THE POPULATION SETTING
- TRANSLATION OF EMERGING AND EXPERIMENTAL METHODS TO THE POPULATION SETTING
- ADJUNCT METHODS
- CONCLUSION
- REFERENCES
- 14. NutrigenomicsJohn Milner, Elaine B. Trujillo, Christine M. Kaefer, and Sharon Ross.
- 15. GenoeconomicsDaniel J. Benjamin, Christopher F. Chabris, Edward L. Glaeser, Vilmundur Gudnason, Tamara B. Harris, David I. Laibson, Lenore J. Launer, and Shaun Purcell.
- 16. Mendelian Randomization: Genetic Variants as Instruments for Strengthening Causal Inference in Observational StudiesGeorge Davey Smith and Shah Ebrahim.
- 17. Multilevel Investigations: Conceptual Mappings and PerspectivesJohn T. Cacioppo, Gary G. Berntson, and Ronald A. Thisted.
- 18. Genomics and Beyond: Improving Understanding and Analysis of Human (Social, Economic, and Demographic) BehaviorJohn Hobcraft.
- 13. Minimally Invasive and Innovative Methods for Biomeasure Collection in Population-Based Research
- Appendix Biographical Sketches of Contributors
This study was supported by Contract No. N01-4-OD-2139 between the National Academy of Sciences and the National Institutes of Health and National Institute on Aging.
Suggested citation:
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.
Any opinions, findings, conclusion, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the organization or agencies that provided support for the project.
NOTICE: The project that is the subject of this report was approved by the Governing Board of the National Research Council, whose members are drawn from the councils of the National Academy of Sciences, the National Academy of Engineering, and the Institute of Medicine. The members of the committee responsible for the report were chosen for their special competences and with regard for appropriate balance.
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