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.
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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
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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
Miller, C. K., Kristeller, J. L., Headings, A., & Nagaraja, H. (2014) · Health Education & Behavior · doi:10.1177/1090198113493092 · Cited by 161
“The valid 110-item Block 2005 Food Frequency Questionnaire (NutritionQuest, Berkeley, CA) was selfadministered to assess usual intake (Block, Woods, Potosky, & Clifford, 1990; Mares-Perlman et al., 1993).”
MethodRelations of glycemic index and glycemic load with plasma oxidative stress markers
Hu, Y., Block, G., Norkus, E. P., Morrow, J. D., Dietrich, M., & Hudes, M. (2006) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.1.70 · Cited by 154
Kalogeropoulos, A. P., Georgiopoulou, V. V., Murphy, R. A., Newman, A. B., Bauer, D. C., Harris, T. B., Yang, Z., Applegate, W. B., & Kritchevsky, S. B. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.6278 · Cited by 116
Velie, E. M., Block, G., Shaw, G. M., Samuels, S. J., Schaffer, D. M., & Kulldorff, M. (1999) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a010059 · Cited by 107
Shimbo, D., Levitan, E. B., Booth, J. N., Calhoun, D. A., Judd, S. E., Lackland, D. T., Safford, M. M., Oparil, S., & Muntner, P. (2013) · Journal of Hypertension · doi:10.1097/hjh.0b013e32835b6be7 · Cited by 60
Dietary Counseling for High Blood Cholesterol in Families at Risk of Coronary Disease
Moy, T. F., Yanek, L. R., Raqueño, J. V., Bezirdjian, P. J., Blumenthal, R. S., Wilder, L. B., & Becker, D. M. (2001) · Preventive Cardiology · doi:10.1111/j.1520-037x.2001.00543.x · Cited by 29
Association between protein intake and lean body mass in a group of Masters Athletes
Stanzione, J. R., Boullata, J. I., Bruneau, M. L., & Volpe, S. L. (2022) · Journal of Nutritional Science · doi:10.1017/jns.2022.10 · Cited by 5
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
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