Review
Biosocial Surveys
Washington (DC): National Academies Press (US); 2008.
- PMID: 21977539
- Bookshelf ID: NBK62436
- DOI: 10.17226/11939
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Review
Biosocial Surveys
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?
Copyright © 2008, National Academy of Sciences.
Sections
- 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
- Introduction
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I. What We've Learned So Far
- 1. Biological Indicators and Genetic Information in Danish Twin and Oldest-Old Surveys
- 2. Whitehall II and ELSA: Integrating Epidemiological and Psychobiological Approaches to the Assessment of Biological Indicators
- 3. The Taiwan Biomarker Project
- 4. Elastic Powers: The Integration of Biomarkers into the Health and Retirement Study
- 5. An Overview of Biomarker Research from Community and Population-Based Studies on Aging
- 6. The Women's Health Initiative: Lessons for the Population Study of Biomarkers
- 7. Comments on Collecting and Utilizing Biological Indicators in Social Science Surveys
- 8. Biomarkers in Social Science Research on Health and Aging: A Review of Theory and Practice
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II. The Potential and Pitfalls of Genetic Information
- 9. Are Genes Good Markers of Biological Traits?
- 10. Genetic Markers in Social Science Research: Opportunities and Pitfalls
- 11. Comments on the Utility of Social Science Surveys for the Discovery and Validation of Genes Influencing Complex Traits
- 12. Overview Thoughts on Genetics: Walking the Line Between Denial and Dreamland, or Genes Are Involved in Everything, But Not Everything Is “Genetic”
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III. New Ways of Collecting, Applying, and Thinking About Data
- 13. Minimally Invasive and Innovative Methods for Biomeasure Collection in Population-Based Research
- 14. Nutrigenomics
- 15. Genoeconomics
- 16. Mendelian Randomization: Genetic Variants as Instruments for Strengthening Causal Inference in Observational Studies
- 17. Multilevel Investigations: Conceptual Mappings and Perspectives
- 18. Genomics and Beyond: Improving Understanding and Analysis of Human (Social, Economic, and Demographic) Behavior
- Appendix Biographical Sketches of Contributors
Publication types
Grants and funding
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.
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