The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Application of a New Statistical Method to Derive Dietary Patterns in Nutritional Epidemiology
Abstract
Because foods are consumed in combination, it is difficult in observational studies to separate the effects of single foods on the development of diseases. A possible way to examine the combined effect of food intakes is to derive dietary patterns by using appropriate statistical methods. The objective of this study was to apply a new statistical method, reduced rank regression (RRR), that is more flexible and powerful than the classic principal component analysis. RRR can be used efficiently in nutritional epidemiology by choosing disease-specific response variables and determining combinations of food intake that explain as much response variation as possible. The authors applied RRR to extract dietary patterns from 49 food groups, specifying four diabetes-related nutrients and nutrient ratios as responses. Data were derived from a nested German case-control study within the European Prospective Investigation into Cancer and Nutrition-Potsdam study consisting of 193 cases with incident type 2 diabetes identified until 2001 and 385 controls. The four factors extracted by RRR explained 93.1% of response variation, whereas the first four factors obtained by principal component analysis accounted for only 41.9%. In contrast to principal component analysis and other methods, the new RRR method extracted a significant risk factor for diabetes.
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Cites
Willett, W. C. (1998) · doi:10.1093/acprof:oso/9780195122978.001.0001 · Cited by 4,541
Dietary Fiber, Glycemic Load, and Risk of Non—insulin-dependent Diabetes Mellitus in Women
Salmerón, J. (1997) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1997.03540300040031 · Cited by 1,804
Dietary Fiber, Glycemic Load, and Risk of NIDDM in Men
Salmerón, J., Ascherio, A., Rimm, E. B., Colditz, G. A., Spiegelman, D., Jenkins, D. J., Stampfer, M. J., Wing, A. L., & Willett, W. C. (1997) · Diabetes Care · doi:10.2337/diacare.20.4.545 · Cited by 1,426
Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire
Hu, F. B., Rimm, E., Smith-Warner, S. A., Feskanich, D., Stampfer, M. J., Ascherio, A., Sampson, L., & Willett, W. C. (1999) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/69.2.243 · Cited by 1,165
Dietary fat intake and risk of type 2 diabetes in women
Salmerón, J., Hu, F. B., Manson, J. E., Stampfer, M. J., Colditz, G. A., Rimm, E. B., & Willett, W. C. (2001) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/73.6.1019 · Cited by 818
Diet and risk of type II diabetes: the role of types of fat and carbohydrate
Hu, F. B., Liu, S., & van Dam, R. M. (2001) · Diabetologia · doi:10.1007/s001250100547 · Cited by 758
Indexes of Overall Diet Quality
KANT, A. K. (1996) · Journal of the American Dietetic Association · doi:10.1016/s0002-8223(96)00217-9 · Cited by 650
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Nettleton, J. A., Steffen, L. M., Mayer-Davis, E. J., Jenny, N. S., Jiang, R., Herrington, D. M., & Jacobs, D. R. (2006) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/83.6.1369 · Cited by 484
Dietary pattern, inflammation, and incidence of type 2 diabetes in women
Schulze, M. B., Hoffmann, K., Manson, J. E., Willett, W. C., Meigs, J. B., Weikert, C., Heidemann, C., Colditz, G. A., & Hu, F. B. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/82.3.675 · Cited by 457
Self-citationCan dietary patterns help us detect diet–disease associations?
Michels, K. B., & Schulze, M. B. (2005) · Nutrition Research Reviews · doi:10.1079/nrr2005107 · Cited by 272
Dietary Patterns during Pregnancy Are Associated with Risk of Gestational Diabetes Mellitus
Shin, D., Lee, K., & Song, W. (2015) · Nutrients · doi:10.3390/nu7115472 · Cited by 133
Eicher-Miller, H. A., Khanna, N., Boushey, C. J., Gelfand, S. B., & Delp, E. J. (2016) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2015.05.014 · Cited by 57
Metadata
- Authors
- Hoffmann, K.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-05-15
- Volume
- 159
- Issue
- 10
- Pages
- 935-944
- ISSN
- 0002-9262 (ISSN-L)
- OpenAlex
- W2112779575
- Cited by
- 660
- References
- 8
- FWCI
- 12.13
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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