Exploring statistical approaches to diminish subjectivity of cluster analysis to derive dietary patterns

American Journal of Epidemiology

Volumn 173, Issue 8, 2011, Pages 956-967

  Lo Siou, Geraldine ^a   Yasui, Yutaka ^b   Csizmadi, Ilona ^a   McGregor, S Elizabeth ^a   Robson, Paula J ^a  

^a ALBERTA HEALTH SERVICES   (Canada)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

cluster analysis; diet; nutrition assessment

Indexed keywords

AGE CLASS; BODY MASS; CLUSTER ANALYSIS; DATA SET; DECISION MAKING; DIET; FOOD INTAKE; MENTAL HEALTH; QUESTIONNAIRE SURVEY; WOMENS HEALTH;

ADULT; AGED; ANTHROPOMETRY; ARTICLE; BODY MASS; CALORIC INTAKE; CLUSTER ANALYSIS; EATING HABIT; EDUCATIONAL STATUS; FEMALE; FOOD FREQUENCY QUESTIONNAIRE; HUMAN; MALE; PHYSICAL ACTIVITY; WAIST CIRCUMFERENCE;

ADULT; AGE FACTORS; AGED; CANADA; CLUSTER ANALYSIS; DATA INTERPRETATION, STATISTICAL; DIET; FEMALE; HUMANS; MALE; MIDDLE AGED; NUTRITION SURVEYS; SEX FACTORS;

ALBERTA; CANADA;

EID: 79953889768     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwq458     Document Type: Article

References (47)

1. Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13(1):3-9. (Pubitemid 34174623)
2. Jacobson HN, Stanton JL. Pattern analysis in nutrition. Clin Nutr. 1986;5(6):249-253. (Pubitemid 17008853)
3. Jacques PF, Tucker KL. Are dietary patterns useful for understanding the role of diet in chronic disease? Am J Clin Nutr. 2001;73(1):1-2. (Pubitemid 32016805)
4. Michels KB, Schulze MB. Can dietary patterns help us detect diet-disease associations? Nutr Res Rev. 2005;18(2):241-248. (Pubitemid 43132205)
5. Tucker K. Commentary: dietary patterns in transition can inform health risk, but detailed assessments are needed to guide recommendations. Int J Epidemiol. 2007;36(3):610-611. (Pubitemid 47244563)
6. van Dam RM. New approaches to the study of dietary patterns. Br J Nutr. 2005;93(5):573-574. (Pubitemid 43906339)
7. Kant AK. Dietary patterns and health outcomes. J Am Diet Assoc. 2004;104(4):615-635. (Pubitemid 38438393)
8. Newby PK, Tucker KL. Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev. 2004; 62(5):177-203. (Pubitemid 38702862)
9. Schulze MB, Hoffmann K. Methodological approaches to study dietary patterns in relation to risk of coronary heart disease and stroke. Br J Nutr. 2006;95(5):860-869. (Pubitemid 43805372)
10. Togo P, Osler M, Sørensen TI, et al. Food intake patterns and body mass index in observational studies. Int J Obes Relat Metab Disord. 2001;25(12):1741-1751. (Pubitemid 33131913)
11. Hearty AP, Gibney MJ. Comparison of cluster and principal component analysis techniques to derive dietary patterns in Irish adults. Br J Nutr. 2009;101(4):598-608.
12. Bamia C, Orfanos P, Ferrari P, et al. Dietary patterns among older Europeans: the EPIC-Elderly Study. Br J Nutr. 2005; 94(1):100-113. (Pubitemid 41357816)
13. Wirfält E, Mattisson I, Gullberg B, et al. Food patterns defined by cluster analysis and their utility as dietary exposure variables: a report from the Malmö Diet and Cancer Study. Public Health Nutr. 2000;3(2):159-173. (Pubitemid 30666520)
14. 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):479-487.
15. Bryant H, Robson PJ, Ullman R, et al. Population-based cohort development in Alberta, Canada: a feasibility study. Chronic Dis Can. 2006;27(2):51-59. (Pubitemid 44784428)
16. Csizmadi I, Kahle L, Ullman R, et al. Adaptation and evaluation of the National Cancer Institute's Diet History Questionnaire and nutrient database for Canadian populations. Public Health Nutr. 2007;10(1):88-96. (Pubitemid 46682346)
17. Diet History Questionnaire. Canadian version US National Institutes of Health. 2005. Bethesda, MD: National Cancer Institute (http://riskfactor.cancer. gov/DHQ/forms/canadian/index.html). (Accessed June 23, 2010).
18. Health Canada. Canadian guidelines for body weight classification in adults. Ottawa, Canada: Health Canada Publications Centre; 2003. http://www.hc-sc.gc.ca/fn-an/alt-formats/hpfb-dgpsa/pdf/nutrition/ weight-book-livres-des-poids-eng.pdf). (Accessed June 23, 2010).
19. Friedenreich CM, Courneya KS, Neilson HK, et al. Reliability and validity of the past year total physical activity questionnaire. Am J Epidemiol. 2006;163(10):959-970.
20. Ainsworth BE, Haskell WL, Leon AS, et al. Compendium of physical activities: classification of energy costs of human physical activities. Med Sci Sports Exerc. 1993;25(1):71-80. (Pubitemid 23027685)
21. Ainsworth BE, Haskell WL, Whitt MC, et al. Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(suppl 9): S498-S504.
22. Milligan GW, Cooper MC. A study of standardization of variables in cluster analysis. J Classif. 1988;5(2):181-204.
23. Milligan GW. A study of the beta-flexible clustering method. Multivariate Behav Res. 1989;24(2):163-176.
24. Ward JH. Hierarchical grouping to optimize an objective function. J Am Stat Assoc. 1963;58(301):236-244.
25. Lance GN, Williams WT. A general theory of classificatory sorting strategies. 1. Hierarchical systems. Comput J. 1967; 9(4):373-380.
26. Hubert L, Arabie P. Comparing partitions. J Classif. 1985; 2(1):193-218.
27. Cohen J. A coefficient of agreement for nominal scales. Educational and Psychological Measurement. 1960;20(1):37-46.
28. Kendall M, Stuart A, eds. The Advanced Theory of Statistics. Vol 2. New York, NY: Macmillan Publishing Company, Inc; 1979.
29. Everitt BS, Landau S, Leese M, eds. Cluster Analysis. 4th ed. London, United Kingdom: Arnold 2001.
30. Wirfält E, Midthune D, Reedy J, et al. Associations between food patterns defined by cluster analysis and colorectal cancer incidence in the NIH-AARP Diet and Health Study. Eur J Clin Nutr. 2009;63(6):707-717.
31. Fisher DG, Hoffman P. The adjusted Rand statistic: a SAS macro. Psychometrika. 1988;53(3):417-423.
32. Willett W. Anthropometric measures and body composition. In: Willett W, ed. Nutritional Epidemiology. 2nd ed. New York, NY: Oxford University Press; 1998:244-272.
33. Berg CM, Lappas G, Strandhagen E, et al. Food patterns and cardiovascular disease risk factors: the Swedish INTERGENE research program. Am J Clin Nutr. 2008;88(2):289-297.
34. Kerver JM, Yang EJ, Bianchi L, et al. Dietary patterns associated with risk factors for cardiovascular disease in healthy US adults. Am J Clin Nutr. 2003;78(6):1103-1110. (Pubitemid 39663450)
35. Newby PK, Muller D, Tucker KL. Associations of empirically derived eating patterns with plasma lipid biomarkers: a comparison of factor and cluster analysis methods. Am J Clin Nutr. 2004;80(3):759-767. (Pubitemid 41115543)
36. Whichelow MJ, Prevost AT. Dietary patterns and their associations with demographic, lifestyle and health variables in a random sample of British adults. Br J Nutr. 1996;76(1): 17-30. (Pubitemid 26318839)
37. Costacou T, Bamia C, Ferrari P, et al. Tracing the Mediterranean diet through principal components and cluster analyses in the Greek population. Eur J Clin Nutr. 2003;57(11): 1378-1385. (Pubitemid 37419852)
38. Martikainen P, Brunner E, Marmot M. Socioeconomic differences in dietary patterns among middle-aged men and women. Soc Sci Med. 2003;56(7):1397-1410. (Pubitemid 36279476)
39. Newby PK, Muller D, Hallfrisch J, et al. Dietary patterns and changes in body mass index and waist circumference in adults. Am J Clin Nutr. 2003;77(6):1417-1425. (Pubitemid 39655274)
40. Schulze MB, Hoffmann K, Kroke A, et al. Dietary patterns and their association with food and nutrient intake in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Study. Br J Nutr. 2001;85(3): 363-373. (Pubitemid 32293764)
41. Togo P, Heitmann BL, Sørensen TI, et al. Consistency of food intake factors by different dietary assessment methods and population groups. Br J Nutr. 2003;90(3):667-678. (Pubitemid 37168367)
42. McCann SE, Marshall JR, Brasure JR, et al. Analysis of patterns of food intake in nutritional epidemiology: food classification in principal components analysis and the subsequent impact on estimates for endometrial cancer. Public Health Nutr. 2001;4(5):989-997. (Pubitemid 32954616)
43. Bailey RL, Gutschall MD, Mitchell DC, et al. Comparative strategies for using cluster analysis to assess dietary patterns. J Am Diet Assoc. 2006;106(8):1194-1200. (Pubitemid 44079971)
44. Milligan GW. An examination of the effect of six types of error perturbation on fifteen clustering algorithms. Psychometrika. 1980;45(3):325-342.
45. Parsons L, Haque E, Liu H. Subspace clustering for high dimensional data: a review. ACM SIGKDD Explorations Newsletter. 2004;6(1):90-105.
46. Milligan GW. A review of Monte Carlo tests of cluster analysis. Multivariate Behav Res. 1981;16(3):379-407.
47. Azuaje F. A cluster validity framework for genome expression data. Bioinformatics. 2002;18(2):319-320. (Pubitemid 34183110)