The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A Diet History Questionnaire Ranks Nutrient Intakes in Middle-Aged and Older Men and Women Similarly to Multiple Food Records
Open accessAbstract
We evaluated the reproducibility of a modified version of the National Cancer Institute diet history questionnaire and also studied comparability of nutrient estimates from this questionnaire to those from four 2-d food records. Subjects (n = 211) were from a population-based sample of middle-aged and older adults participating in the Beaver Dam Eye Study in south-central Wisconsin. Median age-specific correlation coefficients between the questionnaire, administered twice at a 3-mo interval, were 0.8 in men and 0.7 in women (range = 0.5 to 0.9). Questionnaire estimates of protein, cholesterol, thiamin, niacin, iron and zinc were consistently lower than food record estimates whereas estimates of fat were higher. Correlation coefficients between estimates from the questionnaire and records were generally > 0.5, indicating overall good agreement in ranking. However, the range in correlation coefficients was wide [ranging from 0.06 for iron (without supplements) in middle-aged women to 0.8 for alcohol in middle-aged men and women]. Questionnaire estimates similarly classified persons into the lowest two food record quintiles of intake 50 to 93% of the time depending on nutrient. These results suggest that the questionnaire produces nutrient estimates that rank individuals on the basis of intake of most nutrients similarly to estimates from multiple food records.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Reproducibility and validity of a semiquantitative food frequency questionnaire
WILLETT, W. C., SAMPSON, L., STAMPFER, M. J., ROSNER, B., BAIN, C., WITSCHI, J., HENNEKENS, C. H., & SPEIZER, F. E. (1985) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114086 · Cited by 4,274
Rimm, E. B., Giovannucci, E. L., Stampfer, M. J., Colditz, G. A., Litin, L. B., & Willett, W. C. (1992) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116211 · Cited by 2,104
Validation of a self-administered diet history questionnaire using multiple diet records
Block, G., Woods, M., Potosky, A., & Clifford, C. (1990) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(90)90099-b · Cited by 1,197
A REVIEW OF VALIDATIONS OF DIETARY ASSESSMENT METHODS
BLOCK, G. (1982) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a113331 · Cited by 823
Cited by
Predictors of skeletal muscle mass in elderly men and women
Baumgartner, R. N., Waters, D. L., Gallagher, D., Morley, J. E., & Garry, P. J. (1999) · Mechanisms of Ageing and Development · doi:10.1016/s0047-6374(98)00130-4 · Cited by 809
Bingham, S. A., Gill, C., Welch, A., Day, K., Cassidy, A., Khaw, K. T., Sneyd, M. J., Key, T. J. A., Roe, L., & Day, N. E. (1994) · British Journal of Nutrition · doi:10.1079/bjn19940064 · Cited by 749
A rapid food screener to assess fat and fruit and vegetable intake
Block, G., Gillespie, C., Rosenbaum, E. H., & Jenson, C. (2000) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(00)00119-7 · Cited by 565
Dietary fat and age-related maculopathy
Mares-Perlman, J. A. (1995) · Archives of Ophthalmology · doi:10.1001/archopht.1995.01100060069034 · Cited by 298
Self-citationMiller, C. K., Kristeller, J. L., Headings, A., Nagaraja, H., & Miser, W. F. (2012) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2012.07.036 · Cited by 179
Metadata
- Authors
- Mares-Perlman, J. A., Klein, B. E., Klein, R., Ritter, L. L., Fisher, M. R., & Freudenheim, J. L.
- Venue
- The Journal of Nutrition
- Publisher
- Elsevier BV
- Published
- 1993-03
- Volume
- 123
- Issue
- 3
- Pages
- 489-501
- ISSN
- 0022-3166 (ISSN-L)
- OpenAlex
- W1923790355
- Cited by
- 304
- References
- 4
- FWCI
- 9.59
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Diet History Questionnaire Ranks Nutrient Intakes in Middle-Aged and Older Men and Women Similarly to Multiple Food Records. https://app.cochat.ai/papers/10.1093/jn/123.3.489
- The paper
- Mares-Perlman, J. A., Klein, B. E., Klein, R., Ritter, L. L., Fisher, M. R., & Freudenheim, J. L. (1993). A Diet History Questionnaire Ranks Nutrient Intakes in Middle-Aged and Older Men and Women Similarly to Multiple Food Records. The Journal of Nutrition. https://doi.org/10.1093/jn/123.3.489
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.