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Comparing 3 dietary pattern methods--cluster analysis, factor analysis, and index analysis--With colorectal cancer risk: The NIH-AARP Diet and Health Study.
Am J Epidemiol. 2010 Feb 15; 171(4):479-87.AJ

Abstract

The authors compared dietary pattern methods-cluster analysis, factor analysis, and index analysis-with colorectal cancer risk in the National Institutes of Health (NIH)-AARP Diet and Health Study (n = 492,306). Data from a 124-item food frequency questionnaire (1995-1996) were used to identify 4 clusters for men (3 clusters for women), 3 factors, and 4 indexes. Comparisons were made with adjusted relative risks and 95% confidence intervals, distributions of individuals in clusters by quintile of factor and index scores, and health behavior characteristics. During 5 years of follow-up through 2000, 3,110 colorectal cancer cases were ascertained. In men, the vegetables and fruits cluster, the fruits and vegetables factor, the fat-reduced/diet foods factor, and all indexes were associated with reduced risk; the meat and potatoes factor was associated with increased risk. In women, reduced risk was found with the Healthy Eating Index-2005 and increased risk with the meat and potatoes factor. For men, beneficial health characteristics were seen with all fruit/vegetable patterns, diet foods patterns, and indexes, while poorer health characteristics were found with meat patterns. For women, findings were similar except that poorer health characteristics were seen with diet foods patterns. Similarities were found across methods, suggesting basic qualities of healthy diets. Nonetheless, findings vary because each method answers a different question.

Authors+Show Affiliations

Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD 20892-7344, USA. reedyj@mail.nih.govNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Comparative Study
Journal Article
Research Support, N.I.H., Intramural

Language

eng

PubMed ID

20026579

Citation

Reedy, Jill, et al. "Comparing 3 Dietary Pattern Methods--cluster Analysis, Factor Analysis, and Index analysis--With Colorectal Cancer Risk: the NIH-AARP Diet and Health Study." American Journal of Epidemiology, vol. 171, no. 4, 2010, pp. 479-87.
Reedy J, Wirfält E, Flood A, et al. Comparing 3 dietary pattern methods--cluster analysis, factor analysis, and index analysis--With colorectal cancer risk: The NIH-AARP Diet and Health Study. Am J Epidemiol. 2010;171(4):479-87.
Reedy, J., Wirfält, E., Flood, A., Mitrou, P. N., Krebs-Smith, S. M., Kipnis, V., Midthune, D., Leitzmann, M., Hollenbeck, A., Schatzkin, A., & Subar, A. F. (2010). Comparing 3 dietary pattern methods--cluster analysis, factor analysis, and index analysis--With colorectal cancer risk: The NIH-AARP Diet and Health Study. American Journal of Epidemiology, 171(4), 479-87. https://doi.org/10.1093/aje/kwp393
Reedy J, et al. Comparing 3 Dietary Pattern Methods--cluster Analysis, Factor Analysis, and Index analysis--With Colorectal Cancer Risk: the NIH-AARP Diet and Health Study. Am J Epidemiol. 2010 Feb 15;171(4):479-87. PubMed PMID: 20026579.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Comparing 3 dietary pattern methods--cluster analysis, factor analysis, and index analysis--With colorectal cancer risk: The NIH-AARP Diet and Health Study. AU - Reedy,Jill, AU - Wirfält,Elisabet, AU - Flood,Andrew, AU - Mitrou,Panagiota N, AU - Krebs-Smith,Susan M, AU - Kipnis,Victor, AU - Midthune,Douglas, AU - Leitzmann,Michael, AU - Hollenbeck,Albert, AU - Schatzkin,Arthur, AU - Subar,Amy F, Y1 - 2009/12/21/ PY - 2009/12/23/entrez PY - 2009/12/23/pubmed PY - 2010/2/26/medline SP - 479 EP - 87 JF - American journal of epidemiology JO - Am J Epidemiol VL - 171 IS - 4 N2 - The authors compared dietary pattern methods-cluster analysis, factor analysis, and index analysis-with colorectal cancer risk in the National Institutes of Health (NIH)-AARP Diet and Health Study (n = 492,306). Data from a 124-item food frequency questionnaire (1995-1996) were used to identify 4 clusters for men (3 clusters for women), 3 factors, and 4 indexes. Comparisons were made with adjusted relative risks and 95% confidence intervals, distributions of individuals in clusters by quintile of factor and index scores, and health behavior characteristics. During 5 years of follow-up through 2000, 3,110 colorectal cancer cases were ascertained. In men, the vegetables and fruits cluster, the fruits and vegetables factor, the fat-reduced/diet foods factor, and all indexes were associated with reduced risk; the meat and potatoes factor was associated with increased risk. In women, reduced risk was found with the Healthy Eating Index-2005 and increased risk with the meat and potatoes factor. For men, beneficial health characteristics were seen with all fruit/vegetable patterns, diet foods patterns, and indexes, while poorer health characteristics were found with meat patterns. For women, findings were similar except that poorer health characteristics were seen with diet foods patterns. Similarities were found across methods, suggesting basic qualities of healthy diets. Nonetheless, findings vary because each method answers a different question. SN - 1476-6256 UR - https://www.unboundmedicine.com/medline/citation/20026579/Comparing_3_dietary_pattern_methods__cluster_analysis_factor_analysis_and_index_analysis__With_colorectal_cancer_risk:_The_NIH_AARP_Diet_and_Health_Study_ L2 - https://academic.oup.com/aje/article-lookup/doi/10.1093/aje/kwp393 DB - PRIME DP - Unbound Medicine ER -