title: Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology.
abstract: With the advent of Internet-based 24-hour recall (24HR) instruments, it is now possible to envision their use in cohort studies investigating the relation between nutrition and disease. Understanding that all dietary assessment instruments are subject to measurement errors and correcting for them under the assumption that the 24HR is unbiased for usual intake, here the authors simultaneously address precision, power, and sample size under the following 3 conditions: 1) 1-12 24HRs; 2) a single calibrated food frequency questionnaire (FFQ); and 3) a combination of 24HR and FFQ data. Using data from the Eating at America's Table Study (1997-1998), the authors found that 4-6 administrations of the 24HR is optimal for most nutrients and food groups and that combined use of multiple 24HR and FFQ data sometimes provides data superior to use of either method alone, especially for foods that are not regularly consumed. For all food groups but the most rarely consumed, use of 2-4 recalls alone, with or without additional FFQ data, was superior to use of FFQ data alone. Thus, if self-administered automated 24HRs are to be used in cohort studies, 4-6 administrations of the 24HR should be considered along with administration of an FFQ.
authors.affiliation: Department of Statistics, College of Science, Texas A&M University, College Station, 77843-3143, USA. carroll@stat.tamu.edu
authors.forename: Raymond J
authors.initials: RJ
authors.lastname: Carroll
authors.forename: Douglas
authors.initials: D
authors.lastname: Midthune
authors.forename: Amy F
authors.initials: AF
authors.lastname: Subar
authors.forename: Marina
authors.initials: M
authors.lastname: Shumakovich
authors.forename: Laurence S
authors.initials: LS
authors.lastname: Freedman
authors.forename: Frances E
authors.initials: FE
authors.lastname: Thompson
authors.forename: Victor
authors.initials: V
authors.lastname: Kipnis
mesh_terms: D015982:Bias; D002138:Calibration; D015984:Causality; D003627:Data Interpretation, Statistical; D004034:Diet Surveys / Q000379:methods* / Q000592:standards / Q000706:statistics & numerical data; D004435:Eating; D002149:Energy Intake; D015340:Epidemiologic Research Design; D006801:Humans; D016015:Logistic Models; D018401:Sample Size; D057566:Self Report; D011795:Surveys and Questionnaires; D016019:Survival Analysis