Seven unique food consumption patterns identified among women in the UK Women's Cohort Study

Eur J Clin Nutr. 2000 Apr;54(4):314-20. doi: 10.1038/sj.ejcn.1600941.

Abstract

Objective: [corrected] 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.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Attitude to Health
  • Body Mass Index
  • Cluster Analysis
  • Cohort Studies
  • Diet / classification*
  • Diet / statistics & numerical data
  • Diet Surveys
  • Diet, Vegetarian / statistics & numerical data
  • Energy Intake
  • Feeding Behavior*
  • Female
  • Humans
  • Middle Aged
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • United Kingdom