Greenwood, D.C. orcid.org/0000-0001-7035-3096, Cade, J.E. orcid.org/0000-0003-3421-0121, Draper, A. et al. (3 more authors) (2000) Seven unique food consumption patterns among women in the UK Women's Cohort Study. European Journal of Clinical Nutrition, 54 (4). pp. 314-320. ISSN: 0954-3007
Abstract
Objective: To identify groups of subjects with similar food consumption patterns so that complex disease–diet relationships can be investigated at the level of the whole diet, rather than just in terms of nutrient intake.
Subjects: 33, 971 women in the UK Women’s Cohort Study. 60, 000 women on the World Cancer Research Fund mailing list were initially invited to take part. Subjects were selected to include a high proportion of vegetarians.
Design: The cohort completed a 217 item food frequency questionnaire. Cluster analysis was used to identify groups of women with similar food consumption patterns. Clusters were compared on socio-demographic characteristics, indicators of health and diet, and nutrient intakes.
Results: Seven clusters were identified including two vegetarian clusters. Groups appeared to be differentiated by differences in food types and in diversity of diet. Socio-demographic, health and diet characteristics and nutrient intakes all differed significantly between groups.
Conclusion: Classifying diets in more pragmatic terms than just nutrient intake should provide valuable insight into understanding complex diet-disease relationships. Dietary advice, whilst based on nutrient content of meals, needs to take account of the combinations of different food types that people naturally choose to use together.
Sponsorship: World Cancer Research Fund.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2000 Macmillan Publishers Ltd. This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1038/sj.ejcn.1600941. |
| Keywords: | food intake; women; cohort studies; multivariate analysis; diet; food habits; cluster-analysis; dietary patterns |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | ?? Leeds.RC-NUFF ?? The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Clinical & Population Science Dept (Leeds) The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Nutrition and Public Health (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Medical Research (LIMR) > Division of Pathology and Data Analytics |
| Date Deposited: | 23 Jul 2026 15:04 |
| Last Modified: | 23 Jul 2026 15:05 |
| Published Version: | https://www.nature.com/articles/1600941 |
| Status: | Published |
| Publisher: | Springer |
| Identification Number: | 10.1038/sj.ejcn.1600941 |
| Related URLs: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:242483 |

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