|
|
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2 September 2003 | Volume 139 Issue 5 Part 2 | Pages 416-420
The process of healthy aging can best be described by plotting the trajectory of health-related variables over time. Unfortunately, graphs including data only from survivors may be misleading because they may confuse patterns of mortality with patterns of change in health. Two approaches for creating graphs that account for death in such situations are 1) to incorporate a category or value for death into the longitudinal health variable and 2) to measure time in years before death or some other event. The first approach has been applied to self-rated health (excellent to poor) and the 36-Item Short-Form Health Survey (SF-36). It allows for flexible and interpretable analyses and may be appropriate for other variables as well. The second approach also accounts fully for death, but the questions it can address are limited. Both approaches are useful and should be used at a minimum for supporting analyses in longitudinal studies in which persons die during observation.
Author and Article Information
From the University of Washington, Seattle, Washington.
Grant Support: By National Heart, Lung, and Blood Institute contracts N01-HC-85079 through N01-HC-85086, N01-HC-35129, and N01 HC-15103.
Potential Financial Conflicts of Interest:Honoraria: P. Diehr (National Institutes of Health, Veterans Administration); D.L. Patrick (National Center for Health Statistics, Centers for Disease Control and Prevention); Grants pending: P. Diehr (Centers for Disease Control and Prevention), D.L. Patrick (Centers for Disease Control and Prevention).
Requests for Single Reprints: Paula Diehr, PhD, Department of Biostatistics, University of Washington, Box 357232, Seattle, WA 98195; e-mail, pdiehr{at}u.washington.edu.
Current Author Addresses: Dr. Diehr: Department of Biostatistics, University of Washington, Box 357232, Seattle, WA 98195.
Dr. Patrick: University of Washington, Box 357660, Seattle, WA 98199-7660. DETERMINANTS OF SUCCESSFUL AGING: DEVELOPING AN INTEGRATED RESEARCH AGENDA FOR THE 21ST CENTURY
Christopher M. Callahan, MD; Colleen A. McHorney, PhD; and Cynthia D. Mulrow, MD, MSc, Editors
Trajectories of Health for Older Adults over Time: Accounting Fully for Death
![]()
This article has been cited by other articles:
![]() |
T. J. Mustillo Modeling New Party Performance: A Conceptual and Methodological Approach for Volatile Party Systems Political Analysis, June 26, 2009; (2009) mpp007v1. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. L. Douglas, B. J. Daly, C. G. Kelley, E. O'Toole, and H. Montenegro Chronically Critically Ill Patients: Health-Related Quality of Life and Resource Use After a Disease Management Intervention Am. J. Crit. Care., September 1, 2007; 16(5): 447 - 457. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. E. Bonomi, M. L. Anderson, R. J. Reid, D. Carrell, P. A. Fishman, F. P. Rivara, and R. S. Thompson Intimate Partner Violence in Older Women Gerontologist, February 1, 2007; 47(1): 34 - 41. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. L. Douglas, B. J. Daly, C. G. Kelley, E. O'Toole, and H. Montenegro Impact of a Disease Management Program Upon Caregivers of Chronically Critically Ill Patients Chest, December 1, 2005; 128(6): 3925 - 3936. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Y Strandberg, T. E Strandberg, V. V Salomaa, K. Pitkala, and T. A Miettinen Alcohol consumption, 29-y total mortality, and quality of life in men in old age Am. J. Clinical Nutrition, November 1, 2004; 80(5): 1366 - 1371. [Abstract] [Full Text] [PDF] |
||||