title: Intraindividual variability of plasma antioxidants, markers of oxidative stress, C-reactive protein, cotinine, and other biomarkers.
abstract: BACKGROUND
  Within-person variability in biomarkers results in random error that can attenuate estimates of association. Little information on such variability is available for a number of nutrition-related biomarkers.
  
  
  METHODS
  Blood samples obtained 2 to 4 weeks apart were analyzed for tocopherols, carotenoids, ascorbate, lipids, cotinine, C-reactive protein, and oxidative stress. Subjects (n = 206 men and women, mean age 45.4 years) were either smokers or passively exposed to smoke. We calculated intraindividual and interindividual variability and the number of measurements required to reduce attenuation.
  
  
  RESULTS
  For most biomarkers, 2 measurements would be required to limit the attenuation of correlation coefficients to no lower than 90% of the true correlation. If only one measurement were obtained, observed correlations would be approximately 80-88% of true correlations. For regression coefficients, 3 or 4 measures would be required. Exceptions were ascorbic acid and malondialdehyde, for which a single measure resulted in little attenuation.
  
  
  CONCLUSIONS
  For most serum markers, collection of 2 or more measurements per person is desirable to increase the ability to detect associations between biomarkers and health-related variables. If only one measure is possible, sample sizes should be planned to permit detection of associations that are likely to be observed, not the theoretical true associations. The results of this study, in which measurements were obtained 2 to 4 weeks apart, are relevant for epidemiologic research in which the exposure of interest is the subject's baseline or current status. It is likely that within-person variability would be greater over a period of months or years.
authors.affiliation: School of Public Health, University of California, Berkeley, California 94720, USA. gblock@berkeley.edu
authors.forename: Gladys
authors.initials: G
authors.lastname: Block
authors.forename: Marion
authors.initials: M
authors.lastname: Dietrich
authors.forename: Edward
authors.initials: E
authors.lastname: Norkus
authors.forename: Christopher
authors.initials: C
authors.lastname: Jensen
authors.forename: Neal L
authors.initials: NL
authors.lastname: Benowitz
authors.forename: Jason D
authors.initials: JD
authors.lastname: Morrow
authors.forename: Mark
authors.initials: M
authors.lastname: Hudes
authors.forename: Lester
authors.initials: L
authors.lastname: Packer
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000975:Antioxidants / Q000032:analysis*; D001205:Ascorbic Acid / Q000097:blood; D015415:Biomarkers / Q000097:blood*; D001794:Blood Pressure; D002097:C-Reactive Protein / Q000032:analysis*; D002338:Carotenoids / Q000097:blood; D003367:Cotinine / Q000097:blood*; D005260:Female; D006801:Humans; D008055:Lipids / Q000097:blood; D008297:Male; D008875:Middle Aged; D018384:Oxidative Stress / Q000502:physiology*; D012044:Regression Analysis; D015203:Reproducibility of Results; D012907:Smoking / Q000097:blood; D014028:Tobacco Smoke Pollution / Q000032:analysis; D024505:Tocopherols / Q000097:blood
chemical_list: D000975:Antioxidants; D015415:Biomarkers; D008055:Lipids; D014028:Tobacco Smoke Pollution; D002338:Carotenoids; D002097:C-Reactive Protein; D003367:Cotinine; D001205:Ascorbic Acid; D024505:Tocopherols