some of the ways in which new genetic knowledge might change how we think about the causes of biological aging? What are the social and ethical implications of that knowledge?5 Write a science fiction or imaginary scenario of how the United States might look in the year 2030 if dramatic breakthroughs in the genetics of aging occur. In developing this scenario, be sure to state the year you expect the key discoveries or inventions to occur, and describe the likely social consequences of those discoveries or inventions.
6 What is the best scientific evidence in favor of, or against, the compression-of-morbidity thesis? Conduct an online search of current journal articles to consider how various researchers are consider this topic, including changes in rates of disability over time. What questions are left open by this research—for example, what exactly is “disability” as measured across different subgroups? What are the most effective ways to intervene to “compress” morbidity?
Suggested Readings
Austad, S. N., Why We Age: What Science Is Discovering About the Body’s Journey Through Life, New York: Wiley, 1999.
Kirkwood, T., Time of Our Lives: The Science of Human Aging, Oxford, UK: Oxford University Press, 2001.
McDonald, R. B., Biology of Aging, New York: Garland Science, 2013.
Scientific American Editors, Forever Young: The Science of Aging, New York: Scientific American, 2013.
Silvertown, J., The Long and the Short of It: The Science of Life Span and Aging, Chicago: University of Chicago Press, 2013.
Descriptions of Images and Figures
Back to Figure
The horizontal axis is labeled age, and ranges from 0 to 100 in increments of 10. The vertical axis is labeled percent surviving, and ranges from 0 to 100 in increments of 25. The curves in the graph decrease in a concave down manner. Approximate data from the graph are tabulated as follows.
Back to Figure
The horizontal axis is labeled age in days, and ranges from 0 to 1400 in increments of 200. The vertical axis is labeled percent survivors, and ranges from 0 to 100 in increments of 20. All data are approximate. The graph shows eight curves. The first four curves decrease in a concave-up manner from (0, 90) to (300, 0), (450, 0), (550, 0), and (850, 0), with the degree of concavity decreasing from left to right. A curve decreases without concavity from (0, 100) to (1050, 0). The remaining three curves decrease in a concave-up manner from (0, 100) to (1050, 0), with the degree of concavity increasing from left to right.
Back to Figure
The horizontal axis is labeled age in years, and ranges from 0 to 100 in increments of 10. The vertical axis is labeled average percentage property remaining, ranging from 0 to 100 in increments of 10. All data are approximate. The graph shows five numbered lines that slope downward. Line 1 is between (33, 100) and (83, 85). Line 2 is between (33, 100) and (83, 81). Line 3 is between (35, 97) and (83, 61). Line 4 is between (35, 97) and (83, 45). Line 5 is between (33, 100) and (83, 34).
Back to Figure
The horizontal axis is labeled age, and ranges from 0 to 100 in increments of 10. The vertical axis is labeled percent surviving, and ranges from 0 to 100 in increments of 25. The curves in the graph decrease in a concave-down manner. Approximate data from the graph are tabulated as follows.
Back to Figure
The horizontal axis is labeled age at death, and ranges from 0 to 100. The vertical axis is labeled number of persons. The distribution curve is flat till age at death equals 70, peaks at 85, and then decreases again at 100.
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