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American Journal of Epidemiology Advance Access originally published online on April 30, 2009
American Journal of Epidemiology 2009 170(1):88-94; doi:10.1093/aje/kwp086
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American Journal of Epidemiology © The Author 2009. Published by the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org.

PRACTICE OF EPIDEMIOLOGY

Comparing Methods for Accounting for Seasonal Variability in a Biomarker When Only a Single Sample Is Available: Insights From Simulations Based on Serum 25-Hydroxyvitamin D

Yiting Wang*, Eric J. Jacobs, Marjorie L. McCullough, Carmen Rodriguez {dagger}, Michael J. Thun, Eugenia E. Calle {dagger} and W. Dana Flanders

* Correspondence to Dr. Yiting Wang, Department of Epidemiology and Surveillance Research, American Cancer Society, 250 Williams Street, Atlanta, GA 30303-1002 (e-mail: yiting-w{at}hotmail.com).

Received for publication October 22, 2008. Accepted for publication March 13, 2009.

In biomarker-disease association studies, the long-term average level of a biomarker is often considered the optimal measure of exposure. Long-term average levels may not be accurately measured from a single sample, however, because of systematic temporal variation. For example, serum 25-hydroxyvitamin D (25(OH)D) concentrations may fluctuate because of seasonal variation in sun exposure. Association studies of 25(OH)D and cancer risk have used different strategies to minimize bias from such seasonal variation, including adjusting for date of sample collection (DOSC), often after matching on DOSC, and/or using season-specific cutpoints to assign subjects to exposure categories. To evaluate and understand the impact of such strategies on potential bias, the authors simulated a population in which 25(OH)D levels varied between individuals and by season, and disease risk was determined by long-term average 25(OH)D. Ignoring temporal variation resulted in bias toward the null. When cutpoints that did not account for DOSC were used, adjustment for DOSC sometimes resulted in bias away from the null. Using season- or month-specific cutpoints reduced bias toward the null and did not cause bias away from the null. To avoid potential bias away from the null, using season- or month-specific cutpoints may be preferable to adjusting for DOSC.

biological markers; epidemiologic measurement; seasons; vitamins


Abbreviations: DOSC, date of sample collection; 25(OH)D, serum 25-hydroxyvitamin D


{dagger} Deceased.


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