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Development and evaluation of the national cancer institute’s dietary screener questionnaire scoring algorithms
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“However, the current study utilized a dietary screener to assess dietary intake, and dietary screeners have been shown to align well with other forms of self-reported dietary intake instruments (i.e. food frequency questionnaires, 24-hour dietary recalls) that have been shown to have high validity [46,47].”
From General and sport-specific nutrition knowledge and behaviors of adolescent athletes (2025) · cites this paper as [47]
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Subar, A. F., Kirkpatrick, S. I., Mittl, B., Zimmerman, T. P., Thompson, F. E., Bingley, C., Willis, G., Islam, N. G., Baranowski, T., McNutt, S., et al. (2012) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2012.04.016 · Cited by 934
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
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Research works printed but not linked: 20
- Thompson, 1994, Dietary assessment resource manual, J Nutr, 124, 2245S, 10.1093/jn/124.suppl_11.2245s · DOI · Paper page
- Thompson, 2002, Fruit and vegetable assessment: performance of 2 new short instruments and a food frequency questionnaire, J Am Diet Assoc, 102, 1764, 10.1016/S0002-8223(02)90379-2 · DOI · Paper page
- Thompson, 2004, Performance of a short tool to assess dietary intakes of fruits and vegetables, percentage energy from fat and fibre, Public Health Nutr, 7, 1097, 10.1079/PHN2004642 · DOI
- Bogle, 2001, Validity of a telephone-administered 24-hour dietary recall in telephone and non-telephone households in the rural Lower Mississippi Delta region, J Am Diet Assoc, 101, 216, 10.1016/S0002-8223(01)00056-6 · DOI
- Godwin, 2004, Accuracy of reporting dietary intake using various portion-size aids in-person and via telephone, J Am Diet Assoc, 104, 585, 10.1016/j.jada.2004.01.006 · DOI
- Thompson, 2005, Dietary intake estimates in the National Health Interview Survey, 2000: methodology, results, and interpretation, J Am Diet Assoc, 105, 352, 10.1016/j.jada.2004.12.032 · DOI
- Thompson, 2007, Development and evaluation of a short instrument to estimate usual dietary intake of percentage energy from fat, J Am Diet Assoc, 107, 760, 10.1016/j.jada.2007.02.006 · DOI
- Moore, 2015, Using behavioral risk factor surveillance system data to estimate the percentage of the population meeting US Department of Agriculture food patterns fruit and vegetable intake recommendations, Am J Epidemiol, 181, 979, 10.1093/aje/kwu461 · DOI
- Tooze, 2006, A new statistical method for estimating the usual intake of episodically consumed foods with application to their distribution, J Am Diet Assoc, 106, 1575, 10.1016/j.jada.2006.07.003 · DOI · Paper page
- Tooze, 2010, A mixed-effects model approach for estimating the distribution of usual intake of nutrients: the NCI method, Stat Med, 29, 2857, 10.1002/sim.4063 · DOI · Paper page
- McCarthy, 1976, The use of balanced half-sample replication in cross-validation studies, J Am Stat Assoc, 71, 596, 10.1080/01621459.1976.10481534 · DOI
- Subar, 2001, Comparative validation of the Block, Willett, and National Cancer Institute food frequency questionnaires: the Eating at America's Table Study, Am J Epidemiol, 154, 1089, 10.1093/aje/154.12.1089 · DOI · Paper page
- Subar, 2003, Using intake biomarkers to evaluate the extent of dietary misreporting in a large sample of adults: the OPEN study, Am J Epidemiol, 158, 1, 10.1093/aje/kwg092 · DOI · Paper page
- Thompson, 2009, Interrelationships of added sugars intake, socioeconomic status, and race/ethnicity in adults in the United States: National Health Interview Survey, 2005, J Am Diet Assoc, 109, 1376, 10.1016/j.jada.2009.05.002 · DOI
- Park, 2016, Sociodemographic and behavioral factors associated with added sugars intake among US adults, J Acad Nutr Diet, 116, 1589, 10.1016/j.jand.2016.04.012 · DOI
- Coln-Ramos, 2009, Differences in fruit and vegetable intake among Hispanic subgroups in California: results from the 2005 California Health Interview Survey, J Am Diet Assoc, 109, 1878, 10.1016/j.jada.2009.08.015 · DOI
- Schatzkin, 2009, Observational epidemiologic studies of nutrition and cancer: the next generation (with better observation), Cancer Epidemiol Biomarkers Prev, 18, 1026, 10.1158/1055-9965.EPI-08-1129 · DOI
- Kirkpatrick, 2014, Performance of the automated self-administered 24-hour recall relative to a measure of true intakes and to an interviewer-administered 24-h recall, Am J Clin Nutr, 100, 233, 10.3945/ajcn.114.083238 · DOI · Paper page
- Thompson, 2015, Comparison of interviewer-administered and automated self-administered 24-hour dietary recalls in 3 diverse integrated health systems, Am J Epidemiol, 181, 970, 10.1093/aje/kwu467 · DOI
- Carroll, 2012, Taking advantage of the strengths of 2 different dietary assessment instruments to improve intake estimates for nutritional epidemiology, Am J Epidemiol, 175, 340, 10.1093/aje/kwr317 · DOI
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Dietary fiber and probiotics influence the gut microbiome and melanoma immunotherapy response
Spencer, C. N., McQuade, J. L., Gopalakrishnan, V., McCulloch, J. A., Vetizou, M., Cogdill, A. P., Khan, M. A. W., Zhang, X., White, M. G., Peterson, C. B., et al. (2021) · Science · doi:10.1126/science.aaz7015 · Cited by 966
“Food Is Medicine” Strategies for Nutrition Security and Cardiometabolic Health Equity
Mozaffarian, D., Aspry, K. E., Garfield, K., Kris-Etherton, P., Seligman, H., Velarde, G. P., Williams, K., & Yang, E. (2024) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2023.12.023 · Cited by 219
Pack, A. I., Magalang, U. J., Singh, B., Kuna, S. T., Keenan, B. T., & Maislin, G. (2021) · Sleep · doi:10.1093/sleep/zsaa229 · Cited by 114
Chesser, H., Srinivasan, S., Puckett, C., Gitelman, S. E., & Wong, J. C. (2024) · Journal of Diabetes Science and Technology · doi:10.1177/19322968221139873 · Cited by 40
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Berkowitz, S. A., Hulberg, A. C., Placzek, H., Dangora, A., Gomez, J., Standish, S., & Atlas, S. J. (2019) · Population Health Management · doi:10.1089/pop.2018.0162 · Cited by 33
General and sport-specific nutrition knowledge and behaviors of adolescent athletes
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Metadata
- Authors
- Thompson, F. E., Midthune, D., Kahle, L., & Dodd, K. W.
- Venue
- The Journal of Nutrition
- Publisher
- Elsevier BV
- Published
- 2017-06
- Volume
- 147
- Issue
- 6
- Pages
- 1226-1233
- ISSN
- 0022-3166
- Cited by
- 223
- References
- 2
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 2072 d)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
