TY - JOUR
T1 - Measurement Error Affecting Web- and Paper-Based Dietary Assessment Instruments
T2 - Insights from the Multi-Cohort Eating and Activity Study for Understanding Reporting Error
AU - Kirkpatrick, Sharon I.
AU - Troiano, Richard P.
AU - Barrett, Brian
AU - Cunningham, Christopher
AU - Subar, Amy F.
AU - Park, Yikyung
AU - Bowles, Heather R.
AU - Freedman, Laurence S.
AU - Kipnis, Victor
AU - Rimm, Eric B.
AU - Willett, Walter C.
AU - Potischman, Nancy
AU - Spielgelman, Donna
AU - Baer, David J.
AU - Schoeller, Dale A.
AU - Dodd, Kevin W.
N1 - Funding Information:
The Interactive Diet and Activity Tracking in AARP study (IDATA) was funded by the National Cancer Institute (contracts HHSN261201000087I, HHSN26100003, and N02-PC-64406, with contributions from the Office of Dietary Supplements, the National Heart, Lung and Blood Institute, the National Institute of Diabetes and Digestive and Kidney Diseases, the Office of Behavioral and Social Science Research, the Eunice Kennedy Shriver National Institute of Child Health and Human Development, and National Institute on Alcohol Abuse and Alcoholism, and shared instrumentation grant RR020915 to University of Wisconsin for purchase of the isotope ratio mass spectrometer for the urine analysis). The Women's Lifestyle Validation Study (WLVS) and Men's Lifestyle Validation Study (MLVS) were supported by National Institutes of Health (grants UM1-CA186107, UM1-CA176726, UM1-CA167552, P01-CA055075-18S1, and U01-CA152904). The present analyses were funded by the National Cancer Institute.
Publisher Copyright:
© 2022 Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2022. This work is written by (a) US Government employee(s) and is in the public domain in the US.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - Few biomarker-based validation studies have examined error in online self-report dietary assessment instruments, and food records (FRs) have been considered less than food frequency questionnaires (FFQs) and 24-hour recalls (24HRs). We investigated measurement error in online and paper-based FFQs, online 24HRs, and paper-based FRs in 3 samples drawn primarily from 3 cohorts, comprising 1,393 women and 1,455 men aged 45-86 years. Data collection occurred from January 2011 to October 2013. Attenuation factors and correlation coefficients between reported and true usual intake for energy, protein, sodium, potassium, and respective densities were estimated using recovery biomarkers. Across studies, average attenuation factors for energy were 0.07, 0.07, and 0.19 for a single FFQ, 24HR, and FR, respectively. Correlation coefficients for energy were 0.24, 0.23, and 0.40, respectively. Excluding energy, the average attenuation factors across nutrients and studies were 0.22 for a single FFQ, 0.22 for a single 24HR, and 0.51 for a single FR. Corresponding correlation coefficients were 0.31, 0.34, and 0.53, respectively. For densities (nutrient expressed relative to energy), the average attenuation factors across studies were 0.37, 0.17, and 0.50, respectively. The findings support prior research suggesting different instruments have unique strengths that should be leveraged in epidemiologic research.
AB - Few biomarker-based validation studies have examined error in online self-report dietary assessment instruments, and food records (FRs) have been considered less than food frequency questionnaires (FFQs) and 24-hour recalls (24HRs). We investigated measurement error in online and paper-based FFQs, online 24HRs, and paper-based FRs in 3 samples drawn primarily from 3 cohorts, comprising 1,393 women and 1,455 men aged 45-86 years. Data collection occurred from January 2011 to October 2013. Attenuation factors and correlation coefficients between reported and true usual intake for energy, protein, sodium, potassium, and respective densities were estimated using recovery biomarkers. Across studies, average attenuation factors for energy were 0.07, 0.07, and 0.19 for a single FFQ, 24HR, and FR, respectively. Correlation coefficients for energy were 0.24, 0.23, and 0.40, respectively. Excluding energy, the average attenuation factors across nutrients and studies were 0.22 for a single FFQ, 0.22 for a single 24HR, and 0.51 for a single FR. Corresponding correlation coefficients were 0.31, 0.34, and 0.53, respectively. For densities (nutrient expressed relative to energy), the average attenuation factors across studies were 0.37, 0.17, and 0.50, respectively. The findings support prior research suggesting different instruments have unique strengths that should be leveraged in epidemiologic research.
KW - 24-hour recall
KW - dietary assessment
KW - food frequency questionnaire
KW - food record
KW - recovery biomarkers
KW - validation
UR - http://www.scopus.com/inward/record.url?scp=85131701651&partnerID=8YFLogxK
U2 - 10.1093/aje/kwac026
DO - 10.1093/aje/kwac026
M3 - Article
C2 - 35136928
AN - SCOPUS:85131701651
SN - 0002-9262
VL - 191
SP - 1125
EP - 1139
JO - American journal of epidemiology
JF - American journal of epidemiology
IS - 6
ER -