JSM 2005 - Toronto

Abstract #304812

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 366
Type: Contributed
Date/Time: Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #304812
Title: Age-based Methods To Explore Time-related Variables in Occupational Epidemiologic Studies
Author(s): Janice Watkins*+ and E. L. Frome and D. L. Cragel
Companies: Oak Ridge Associated Universities and Oak Ridge National Laboratories and Oak Ridge Associated Universities
Address: Center for Epidemiologic Research, Oak Ridge, TN, 37831-0117, United States
Keywords: age-at-exposure ; time-related variables ; occupational epidemiology ; radiation ; occupational cohort
Abstract:

Although age generally is recognized as the strongest predictor of mortality in chronic disease occupational epidemiology, a calendar-year-based approach often has been employed when evaluating time-related variables. For an age-based approach, an analysis file can be obtained by determining the value of each time-dependent variable for each age interval that a cohort member is in view. To demonstrate this approach, the relation between external radiation dose and cancer mortality for a cohort of 14,095 Oak Ridge National Laboratory workers was analyzed with Poisson regression. Based on previous analysis of this cohort, a model with 10-year lagged cumulative radiation doses partitioned by receipt before (dose-young) or after (dose-old) age 45 and additional time-related variables was used. It was difficult to single out specific variables associated with elevated cancer mortality because of birth-cohort differences in both hire-age and completeness of mortality experience and time-period differences in working conditions, dose potential, and exposure assessment. This research demonstrated the utility and versatility of the age-based approach.

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Revised March 2005