Empirically derived eating patterns using factor or cluster analysis: a review

Newby, P. K.; Tucker, Katherine L.

doi:10.1111/j.1753-4887.2004.tb00040.x

Cited by 1,248Nutritional Studies and DietNutrition, Health and Food BehaviorConsumer Attitudes and Food Labeling

Empirically derived eating patterns using factor or cluster analysis: a review

Newby, P. K., Tucker, Katherine L.·2004·Nutrition Reviews

DOI 10.1111/j.1753-4887.2004.tb00040.x

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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.

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Healthy and diabetic volunteers receiving a single dose of a high-advanced glycation end product caffeine-free cola drink showed an increase in serum plasminogen activator inhibitor-1.
“Furthermore, healthy and diabetic volunteers receiving a single dose of a high-AGE (caffeine-free) cola drink showed an increase in serum PAI-1 (519) .”
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Authors: Newby, P. K., & Tucker, K. L.
Affiliations: Tufts University (US)
ORCID: Tucker, Katherine L.
Venue: Nutrition Reviews
Publisher: Oxford University Press (OUP)
Published: 2004-05
Volume: 62
Issue: 5
Pages: 177-203
ISSN: 0029-6643 (ISSN-L)
1753-4887
DOI: 10.1111/j.1753-4887.2004.tb00040.x
OpenAlex: W2132149909
Cited by: 1,248
References: 130
Citations by year: 2026: 33 · 2025: 35 · 2024: 55 · 2023: 52 · 2022: 71 · 2021: 77 · 2020: 96 · 2019: 76 · 2018: 82 · 2017: 69 · 2016: 70 · 2015: 88 · 2014: 71 · 2013: 66 · 2012: 66
FWCI: 19.35
Type: journal article
Language: en
Open access: closed
Locations: Nutrition Reviews (publishedVersion)
PubMed (publishedVersion)
Funders: U.S. Department of Agriculture (58‐1950‐4‐401)
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Consumer Attitudes and Food Labeling
Keywords: dietary habits, factor analysis, clustering, dietary assessment, biomarkers, disease outcome
MeSH terms: Diet, Factor Analysis, Statistical, Food Preferences, Health Status, Humans, Research Design, Nutrition Assessment, Cluster Analysis

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Empirically derived eating patterns using factor or cluster analysis: a review

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