A REVIEW OF VALIDATIONS OF DIETARY ASSESSMENT METHODS

BLOCK, GLADYS

doi:10.1093/oxfordjournals.aje.a113331

Cited by 823Nutritional Studies and DietStatistical Methods in EpidemiologyNutrition and Health Studies

A REVIEW OF VALIDATIONS OF DIETARY ASSESSMENT METHODS

BLOCK, GLADYS·1982·American Journal of Epidemiology

DOI 10.1093/oxfordjournals.aje.a113331

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Abstract

GLADYS BLOCK; A REVIEW OF VALIDATIONS OF DIETARY ASSESSMENT METHODS, American Journal of Epidemiology, Volume 115, Issue 4, 1 April 1982, Pages 492–505, https:/

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Prospective recording of food consumption can alter the type and quantity of foods eaten and introduce bias into the estimate of food intake.
“However, prospective recording of food consumption can alter the type and quantity of foods eaten and, therefore, introduce bias into the estimate of food intake [11-13].”
From Online dietary intake estimation: reproducibility and validity of the Food4Me Food frequency questionnaire against a 4-day weighed food record (2014) · cites this paper as [12]

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“To mention other limitations, the methods used for dietary assessment are subject to variations((29,41)) and therefore comparison between the two methods may not be precise; however, we evaluated the relative validity((42)) to partly overcome this problem.”
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BackgroundMethod
NUTRIENT SOURCES IN THE AMERICAN DIET: QUANTITATIVE DATA FROM THE NHANES II SURVEY
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MethodInfluential
Correlates of meal skipping in young adults: a systematic review
Pendergast, F. J., Livingstone, K. M., Worsley, A. F., & McNaughton, S. A. (2016) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-016-0451-1 · Cited by 212 · see citing works
Online dietary intake estimation: reproducibility and validity of the Food4Me Food frequency questionnaire against a 4-day weighed food record
Fallaize, R., Forster, H., Macready, A. L., Walsh, M. C., Mathers, J. C., Brennan, L., Gibney, E. R., Gibney, M. J., & Lovegrove, J. A. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3355 · Cited by 210 · see citing works
“However, prospective recording of food consumption can alter the type and quantity of foods eaten and, therefore, introduce bias into the estimate of food intake [11-13].”
Food preferences and reported frequencies of food consumption as predictors of current diet in young women
Drewnowski, A., & Hann, C. S. (1999) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/70.1.28 · Cited by 204 · see citing works
Risk Factors for Dental Fluorosis in a Fluoridated Community
Osujp, O. O., Leake, J. L., Chipman, M. L., Nikiforuk, G., Locker, D., & Levine, N. (1988) · Journal of Dental Research · doi:10.1177/00220345880670120901 · Cited by 208 · see citing works
Issues in reproducibility and validity of dietary studies
Block, G., & Hartman, A. M. (1989) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/50.5.1133 · Cited by 204 · see citing works
Self-citation
High-Fat, Low-Carbohydrate Diet and the Etiology of Non-Insulin-dependent Diabetes Mellitus: The San Luis Valley Diabetes Study
Marshall, J. A., Hamman, R. F., & Baxter, J. (1991) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116132 · Cited by 203 · see citing works
The Dietary Quality Score: validation and association with cardiovascular risk factors: the Inter99 study
Toft, U., Kristoffersen, L., Lau, C. J., Borch‐Johnsen, K., & Jørgensen, T. (2006) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602503 · Cited by 202 · see citing works
“…questionnaire (FFQ), does not make it possible to compute the nutrition intake in detail, a rough classification of the participants into groups with low, medium or high intake still permits the examination of nutritional hypotheses and the assessment of dose–response relationships (Block, 1982).”
Background
Folate intake and food sources in the US population
Subar, A. F., Block, G., & James, L. (1989) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/50.3.508 · Cited by 202 · see citing works
Self-citation
Nutrition epidemiology: how do we know what they ate?
Barrett-Connor, E. L. (1991) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/54.1.182s · Cited by 192 · see citing works
Circadian rhythms of the spontaneous meal pattern, macronutrient intake, and mood of humans
de Castro, J. M. (1987) · Physiology & Behavior · doi:10.1016/0031-9384(87)90028-x · Cited by 185 · see citing works
Effects of an acute exacerbation on nutritional and metabolic profile of patients with COPD
Vermeeren, M., Schols, A. M., & Wouters, E. (1997) · European Respiratory Journal · doi:10.1183/09031936.97.10102264 · Cited by 183 · see citing works
“Habitual dietary intake, dietary intake prior to admission since aggravation of dyspnoea and other disease symptoms, as well as dietary intake during the followup consultation were evaluated using the diet history method with cross-check [12].”
Method
Accuracy of maternal dietary recall for preschool children
Baranowski, T., Sprague, D., Baranowski, J. H., et al. (1991) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(21)01202-5 · Cited by 181 · see citing works
Maternal Nutrient Intakes and Risk of Orofacial Clefts
Shaw, G. M., Carmichael, S. L., Laurent, C. A., & Rasmussen, S. A. (2006) · Epidemiology · doi:10.1097/01.ede.0000208348.30012.35 · Cited by 179 · see citing works
“Limitations of this type of instrument have been described.(33,35,36) Although the instrument we used was not internally validated, validation studies have revealed that it provides reasonable estimates of usual dietary intake for diets consumed by women even in the distant past.”
Method
Validity and Reproducibility of a Quantitative Food Frequency Questionnaire for a Cohort Study in Japan
Shimizu, H., Ohwaki, A., Kurisu, Y., Takatsuka, N., Ido, M., Kawakami, N., Nagata, C., & Inaba, S. (1999) · Japanese Journal of Clinical Oncology · doi:10.1093/jjco/29.1.38 · Cited by 180 · see citing works
Meat consumption and fatal ischemic heart disease
Snowdon, D. A., Phillips, R. L., & Fraser, G. E. (1984) · Preventive Medicine · doi:10.1016/0091-7435(84)90017-3 · Cited by 179 · see citing works
Diet and opiate addiction: A quantitative assessment of the diet of non-institutionalized opiate addicts
MORABIA, A., FABRE, J., GHEE, E., ZEGER, S., ORSAT, E., & ROBERT, A. (1989) · British Journal of Addiction · doi:10.1111/j.1360-0443.1989.tb00566.x · Cited by 177 · see citing works
Lipid peroxidation as determined by plasma isoprostanes is related to disease severity in mild asthma
Wood, L. G., Fitzgerald, D. A., Gibson, P. C., Cooper, D. M., & Garg, M. L. (2000) · Lipids · doi:10.1007/s11745-000-0607-x · Cited by 175 · see citing works
Energy Balance in Chronic Obstructive Pulmonary Disease
Schols, A. M. W. J., Soeters, P. B., Mostert, R., Saris, W. H. M., & Wouters, E. F. �. (1991) · American Review of Respiratory Disease · doi:10.1164/ajrccm/143.6.1248 · Cited by 173 · see citing works
Personal digital assistants are comparable to traditional diaries for dietary self-monitoring during a weight loss program
Yon, B. A., Johnson, R. K., Harvey-Berino, J., Gold, B. C., & Howard, A. B. (2007) · Journal of Behavioral Medicine · doi:10.1007/s10865-006-9092-1 · Cited by 175 · see citing works
“2 Food Frequency Questionnaire (Block, 1982) and analyzed using the Block Dietary Data Systems (Berkeley, CA).”
MethodInfluential
Urinary flavonoids and phenolic acids as biomarkers of intake for polyphenol-rich foods
Mennen, L. I., Sapinho, D., Ito, H., Bertrais, S., Galan, P., Hercberg, S., & Scalbert, A. (2006) · British Journal Of Nutrition · doi:10.1079/bjn20061808 · Cited by 174 · see citing works
“Furthermore, there is no gold standard for collection of dietary intake data, which is always subject to a certain under- or overestimation (Block, 1982; Bingham, 1991).”
Background

Authors: BLOCK, G.
Affiliations: Johns Hopkins University (US)
Corresponding author: BLOCK, GLADYS
ORCID: BLOCK, GLADYS
Venue: American Journal of Epidemiology
Publisher: Oxford University Press (OUP)
Published: 1982-04
Volume: 115
Issue: 4
Pages: 492-505
ISSN: 0002-9262 (ISSN-L)
1476-6256
DOI: 10.1093/oxfordjournals.aje.a113331
OpenAlex: W2275310832
Cited by: 823
References: 0
Citations by year: 2026: 1 · 2025: 1 · 2023: 4 · 2022: 5 · 2021: 8 · 2020: 10 · 2019: 13 · 2018: 12 · 2017: 13 · 2016: 13 · 2015: 14 · 2014: 12 · 2013: 14 · 2012: 19
FWCI: 30.45
Type: journal article
Language: en
Open access: closed
Locations: American Journal of Epidemiology (publishedVersion)
PubMed (publishedVersion)
HighWire Press Open Archive (submittedVersion)
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutrition and Health Studies
Keywords: dietary assessment, validation, food frequency questionnaire, 24-hour dietary recall, methodological validity
MeSH terms: Data Collection, Diet Surveys, Epidemiologic Methods, Evaluation Studies as Topic, Humans, Nutrition Surveys, Surveys and Questionnaires, Mental Recall

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A REVIEW OF VALIDATIONS OF DIETARY ASSESSMENT METHODS

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