Abstract
Study objectives: To examine the internal validity of a dietary pattern analysis and its ability to discriminate clusters of people with similar dietary patterns using independently assessed nutrient intakes and heart disease risk factors.
Design and participants: Population based study characterising dietary patterns using cluster analysis applied to data from the semiquantitative Framingham food frequency questionnaire collected from 1942 women ages 18–76 years, between 1984–88.
Setting: Framingham, Massachusetts.
Main results: Of 1942 women included in the cluster analysis, 1828 (94%) were assigned to one of the five dietary pattern clusters: Heart Healthy, Light Eating, Wine and Moderate Eating, High Fat, and Empty Calorie. Dietary patterns differed substantially in terms of individual nutrient intakes, overall dietary risk, heart disease risk factors, and predicted heart disease risk. Women in the Heart Healthy cluster had the most nutrient dense eating pattern, the lowest level of dietary risk, more favourable risk factor levels, and the lowest probability of developing heart disease. Those in the Empty Calorie cluster had a less nutritious dietary pattern, the greatest level of dietary risk, a heavier burden of heart disease risk factors, and a relatively higher probability of developing heart disease. Cluster reproducibility using discriminant analysis showed that 80% of the sample was correctly classified. The cluster technique was highly sensitive and specific (75% to 100%).
Conclusions: These findings support the internal validity of a dietary pattern analysis for characterising dietary exposures in epidemiological research. The authors encourage other researchers to explore this technique when investigating relations between nutrition, health, and disease.
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Selected References
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- Baghurst K. I., Baghurst P. A., Record S. J. Demographic and dietary profiles of high and low fat consumers in Australia. J Epidemiol Community Health. 1994 Feb;48(1):26–32. doi: 10.1136/jech.48.1.26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- D'Agostino R. B., Russell M. W., Huse D. M., Ellison R. C., Silbershatz H., Wilson P. W., Hartz S. C. Primary and subsequent coronary risk appraisal: new results from the Framingham study. Am Heart J. 2000 Feb;139(2 Pt 1):272–281. doi: 10.1067/mhj.2000.96469. [DOI] [PubMed] [Google Scholar]
- Franceschi S., Favero A., Conti E., Talamini R., Volpe R., Negri E., Barzan L., La Vecchia C. Food groups, oils and butter, and cancer of the oral cavity and pharynx. Br J Cancer. 1999 May;80(3-4):614–620. doi: 10.1038/sj.bjc.6690400. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gillman M. W., Cupples L. A., Gagnon D., Posner B. M., Ellison R. C., Castelli W. P., Wolf P. A. Protective effect of fruits and vegetables on development of stroke in men. JAMA. 1995 Apr 12;273(14):1113–1117. doi: 10.1001/jama.1995.03520380049034. [DOI] [PubMed] [Google Scholar]
- Gillum R. F., Mussolino M. E., Madans J. H. The relationship between fish consumption and stroke incidence. The NHANES I Epidemiologic Follow-up Study (National Health and Nutrition Examination Survey). Arch Intern Med. 1996 Mar 11;156(5):537–542. [PubMed] [Google Scholar]
- Hankin J. H., Wilkens L. R. Development and validation of dietary assessment methods for culturally diverse populations. Am J Clin Nutr. 1994 Jan;59(1 Suppl):198S–200S. doi: 10.1093/ajcn/59.1.198S. [DOI] [PubMed] [Google Scholar]
- Hu F. B., Rimm E. B., Stampfer M. J., Ascherio A., Spiegelman D., Willett W. C. Prospective study of major dietary patterns and risk of coronary heart disease in men. Am J Clin Nutr. 2000 Oct;72(4):912–921. doi: 10.1093/ajcn/72.4.912. [DOI] [PubMed] [Google Scholar]
- Hu F. B., Rimm E., Smith-Warner S. A., Feskanich D., Stampfer M. J., Ascherio A., Sampson L., Willett W. C. Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr. 1999 Feb;69(2):243–249. doi: 10.1093/ajcn/69.2.243. [DOI] [PubMed] [Google Scholar]
- Huijbregts P. P., Feskens E. J., Kromhout D. Dietary patterns and cardiovascular risk factors in elderly men: the Zutphen Elderly Study. Int J Epidemiol. 1995 Apr;24(2):313–320. doi: 10.1093/ije/24.2.313. [DOI] [PubMed] [Google Scholar]
- Kannel W. B., Sorlie P. Some health benefits of physical activity. The Framingham Study. Arch Intern Med. 1979 Aug;139(8):857–861. [PubMed] [Google Scholar]
- Kant A. K. Indexes of overall diet quality: a review. J Am Diet Assoc. 1996 Aug;96(8):785–791. doi: 10.1016/S0002-8223(96)00217-9. [DOI] [PubMed] [Google Scholar]
- Kant A. K., Schatzkin A., Block G., Ziegler R. G., Nestle M. Food group intake patterns and associated nutrient profiles of the US population. J Am Diet Assoc. 1991 Dec;91(12):1532–1537. [PubMed] [Google Scholar]
- Kant A. K., Schatzkin A., Harris T. B., Ziegler R. G., Block G. Dietary diversity and subsequent mortality in the First National Health and Nutrition Examination Survey Epidemiologic Follow-up Study. Am J Clin Nutr. 1993 Mar;57(3):434–440. doi: 10.1093/ajcn/57.3.434. [DOI] [PubMed] [Google Scholar]
- Kristal A. R., Feng Z., Coates R. J., Oberman A., George V. Associations of race/ethnicity, education, and dietary intervention with the validity and reliability of a food frequency questionnaire: the Women's Health Trial Feasibility Study in Minority Populations. Am J Epidemiol. 1997 Nov 15;146(10):856–869. doi: 10.1093/oxfordjournals.aje.a009203. [DOI] [PubMed] [Google Scholar]
- Le Marchand L., Hankin J. H., Wilkens L. R., Kolonel L. N., Englyst H. N., Lyu L. C. Dietary fiber and colorectal cancer risk. Epidemiology. 1997 Nov;8(6):658–665. doi: 10.1097/00001648-199710000-00008. [DOI] [PubMed] [Google Scholar]
- Longnecker M. P., Lissner L., Holden J. M., Flack V. F., Taylor P. R., Stampfer M. J., Willett W. C. The reproducibility and validity of a self-administered semiquantitative food frequency questionnaire in subjects from South Dakota and Wyoming. Epidemiology. 1993 Jul;4(4):356–365. doi: 10.1097/00001648-199307000-00012. [DOI] [PubMed] [Google Scholar]
- Millen B. E., Quatromoni P. A., Gagnon D. R., Cupples L. A., Franz M. M., D'Agostino R. B. Dietary patterns of men and women suggest targets for health promotion: the Framingham Nutrition Studies. Am J Health Promot. 1996 Sep-Oct;11(1):42–53. doi: 10.4278/0890-1171-11.1.42. [DOI] [PubMed] [Google Scholar]
- Ocké M. C., Bueno-de-Mesquita H. B., Feskens E. J., van Staveren W. A., Kromhout D. Repeated measurements of vegetables, fruits, beta-carotene, and vitamins C and E in relation to lung cancer. The Zutphen Study. Am J Epidemiol. 1997 Feb 15;145(4):358–365. doi: 10.1093/oxfordjournals.aje.a009113. [DOI] [PubMed] [Google Scholar]
- Patterson R. E., Haines P. S., Popkin B. M. Diet quality index: capturing a multidimensional behavior. J Am Diet Assoc. 1994 Jan;94(1):57–64. doi: 10.1016/0002-8223(94)92042-7. [DOI] [PubMed] [Google Scholar]
- Posner B. M., Cupples L. A., Franz M. M., Gagnon D. R. Diet and heart disease risk factors in adult American men and women: the Framingham Offspring-Spouse nutrition studies. Int J Epidemiol. 1993 Dec;22(6):1014–1025. doi: 10.1093/ije/22.6.1014. [DOI] [PubMed] [Google Scholar]
- Posner B. M., Martin-Munley S. S., Smigelski C., Cupples L. A., Cobb J. L., Schaefer E., Miller D. R., D'Agostino R. B. Comparison of techniques for estimating nutrient intake: the Framingham Study. Epidemiology. 1992 Mar;3(2):171–177. doi: 10.1097/00001648-199203000-00016. [DOI] [PubMed] [Google Scholar]
- Posner B. M., Smigelski C., Duggal A., Morgan J. L., Cobb J., Cupples L. A. Validation of two-dimensional models for estimation of portion size in nutrition research. J Am Diet Assoc. 1992 Jun;92(6):738–741. [PubMed] [Google Scholar]
- Pryer J. A., Nichols R., Elliott P., Thakrar B., Brunner E., Marmot M. Dietary patterns among a national random sample of British adults. J Epidemiol Community Health. 2001 Jan;55(1):29–37. doi: 10.1136/jech.55.1.29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Randall E., Marshall J. R., Graham S., Brasure J. Patterns in food use and their associations with nutrient intakes. Am J Clin Nutr. 1990 Oct;52(4):739–745. doi: 10.1093/ajcn/52.4.739. [DOI] [PubMed] [Google Scholar]
- Schakel S. F., Sievert Y. A., Buzzard I. M. Sources of data for developing and maintaining a nutrient database. J Am Diet Assoc. 1988 Oct;88(10):1268–1271. [PubMed] [Google Scholar]
- Slattery M. L., Boucher K. M., Caan B. J., Potter J. D., Ma K. N. Eating patterns and risk of colon cancer. Am J Epidemiol. 1998 Jul 1;148(1):4–16. doi: 10.1093/aje/148.1.4-a. [DOI] [PubMed] [Google Scholar]
- Svetkey L. P., Simons-Morton D., Vollmer W. M., Appel L. J., Conlin P. R., Ryan D. H., Ard J., Kennedy B. M. Effects of dietary patterns on blood pressure: subgroup analysis of the Dietary Approaches to Stop Hypertension (DASH) randomized clinical trial. Arch Intern Med. 1999 Feb 8;159(3):285–293. doi: 10.1001/archinte.159.3.285. [DOI] [PubMed] [Google Scholar]
- Ursin G., Ziegler R. G., Subar A. F., Graubard B. I., Haile R. W., Hoover R. Dietary patterns associated with a low-fat diet in the national health examination follow-up study: identification of potential confounders for epidemiologic analyses. Am J Epidemiol. 1993 Apr 15;137(8):916–927. doi: 10.1093/oxfordjournals.aje.a116753. [DOI] [PubMed] [Google Scholar]
- Willett W. C., Reynolds R. D., Cottrell-Hoehner S., Sampson L., Browne M. L. Validation of a semi-quantitative food frequency questionnaire: comparison with a 1-year diet record. J Am Diet Assoc. 1987 Jan;87(1):43–47. [PubMed] [Google Scholar]
- Willett W. C., Sampson L., Stampfer M. J., Rosner B., Bain C., Witschi J., Hennekens C. H., Speizer F. E. Reproducibility and validity of a semiquantitative food frequency questionnaire. Am J Epidemiol. 1985 Jul;122(1):51–65. doi: 10.1093/oxfordjournals.aje.a114086. [DOI] [PubMed] [Google Scholar]
- Wirfält A. K., Jeffery R. W. Using cluster analysis to examine dietary patterns: nutrient intakes, gender, and weight status differ across food pattern clusters. J Am Diet Assoc. 1997 Mar;97(3):272–279. doi: 10.1016/s0002-8223(97)00071-0. [DOI] [PubMed] [Google Scholar]