The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers
Open accessAbstract
The Oxford WebQ is an online 24-hour dietary questionnaire that is appropriate for repeated administration in large-scale prospective studies, including the UK Biobank study and the Million Women Study. We compared the performance of the Oxford WebQ and a traditional interviewer-administered multiple-pass 24-hour dietary recall against biomarkers for protein, potassium, and total sugar intake and total energy expenditure estimated by accelerometry. We recruited 160 participants in London, United Kingdom, between 2014 and 2016 and measured their biomarker levels at 3 nonconsecutive time points. The measurement error model simultaneously compared all 3 methods. Attenuation factors for protein, potassium, total sugar, and total energy intakes estimated as the mean of 2 applications of the Oxford WebQ were 0.37, 0.42, 0.45, and 0.31, respectively, with performance improving incrementally for the mean of more measures. Correlation between the mean value from 2 Oxford WebQs and estimated true intakes, reflecting attenuation when intake is categorized or ranked, was 0.47, 0.39, 0.40, and 0.38, respectively, also improving with repeated administration. These correlations were similar to those of the more administratively burdensome interviewer-based recall. Using objective biomarkers as the standard, the Oxford WebQ performs well across key nutrients in comparison with more administratively burdensome interviewer-based 24-hour recalls. Attenuation improves when the average value is taken over repeated administrations, reducing measurement error bias in assessment of diet-disease associations.
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Self-citationNew methods for calculating metabolic rate with special reference to protein metabolism
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Subar, A. F., Freedman, L. S., Tooze, J. A., Kirkpatrick, S. I., Boushey, C., Neuhouser, M. L., Thompson, F. E., Potischman, N., Guenther, P. M., Tarasuk, V., et al. (2015) · The Journal of Nutrition · doi:10.3945/jn.115.219634 · Cited by 1,047
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Self-citationFreedman, L. S., Commins, J. M., Moler, J. E., Arab, L., Baer, D. J., Kipnis, V., Midthune, D., Moshfegh, A. J., Neuhouser, M. L., Prentice, R. L., et al. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwu116 · Cited by 528
Cited by
Thompson, A. S., Tresserra-Rimbau, A., Karavasiloglou, N., Jennings, A., Cantwell, M., Hill, C., Perez-Cornago, A., Bondonno, N. P., Murphy, N., Rohrmann, S., et al. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.4714 · Cited by 203
Papier, K., Fensom, G. K., Knuppel, A., Appleby, P. N., Tong, T. Y. N., Schmidt, J. A., Travis, R. C., Key, T. J., & Perez-Cornago, A. (2021) · BMC Medicine · doi:10.1186/s12916-021-01922-9 · Cited by 168
Self-citationShannon, O. M., Ranson, J. M., Gregory, S., Macpherson, H., Milte, C., Lentjes, M., Mulligan, A., McEvoy, C., Griffiths, A., Matu, J., et al. (2023) · BMC Medicine · doi:10.1186/s12916-023-02772-3 · Cited by 167
Association of Ultraprocessed Food Consumption With Risk of Dementia: A Prospective Cohort Study
Li, H., Li, S., Yang, H., Zhang, Y., Zhang, S., Ma, Y., Hou, Y., Zhang, X., Niu, K., Borné, Y., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000200871 · Cited by 107
Metadata
- Authors
- Greenwood, D. C., Hardie, L. J., Frost, G. S., Alwan, N. A., Bradbury, K. E., Carter, M., Elliott, P., Evans, C. E. L., Ford, H. E., Hancock, N., Key, T. J., Liu, B., Morris, M. A., Mulla, U. Z., Petropoulou, K., Potter, G. D. M., Riboli, E., Young, H., Wark, P. A., & Cade, J. E.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-07-18
- Volume
- 188
- Issue
- 10
- Pages
- 1858-1867
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2963525085
- Cited by
- 336
- References
- 46
- FWCI
- 13.52
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Greenwood, D. C., Hardie, L. J., Frost, G. S., Alwan, N. A., Bradbury, K. E., Carter, M., Elliott, P., Evans, C. E. L., Ford, H. E., Hancock, N., Key, T. J., Liu, B., Morris, M. A., Mulla, U. Z., Petropoulou, K., Potter, G. D. M., Riboli, E., Young, H., Wark, P. A., & Cade, J. E. (2019). Validation of the Oxford WebQ Online 24-Hour Dietary Questionnaire Using Biomarkers. American Journal of Epidemiology. https://doi.org/10.1093/aje/kwz165
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