IngentaConnect Empirically Derived Eating Patterns Using Factor or Cluster Analy...

Authors: P.K. Newby¹; Katherine L. Tucker

Source: Nutrition Reviews, Volume 62, Number 5, 1 May 2004 , pp. 177-203(27)

Publisher: International Life Sciences Institute

Abstract:

This paper reviews studies performed to date that have employed cluster or factor analysis to empirically derive eating patterns. Since 1980, at least 93 studies were published that used cluster or factor analysis to define dietary exposures, of which 65 were used to test hypotheses or examine associations between patterns and disease outcomes or biomarkers. Studies were conducted in diverse populations across many countries and continents and suggest that patterns are associated with many different biomarkers and disease outcomes, whether measured by cluster or factor analysis. Despite clear differences in approaches and interpretations, there is some evidence that underlying eating patterns are revealed by either method. Although the research considered herein has created a meaningful body of literature, refining both the factor and cluster analysis methods will help to further establish eating patterns as a sound dietary assessment method.

Keywords: EATING PATTERNS; DIETARY PATTERNS; FOOD PATTERNS; FACTOR ANALYSIS; CLUSTER ANALYSIS REVIEW

Document Type: Review article

DOI: 10.1301/nr.2004.may.177-203

Affiliations: 1: Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Dietary Assessment and Epidemiology Research Program, 711 Washington St., Boston, MA, 02111

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Empirically Derived Eating Patterns Using Factor or Cluster Analysis: A Review