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Dietary Patterns Analysis in ALSPAC Cohort: Innovative Cluster Methods

Explore dietary patterns in ALSPAC cohort using advanced cluster analysis techniques to condense large data sets into meaningful information. Case studies and insights into various food consumption clusters. Ideal for researchers and nutritionists.

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Dietary Patterns Analysis in ALSPAC Cohort: Innovative Cluster Methods

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  1. Andrew Smith Dietary patterns in the ALSPAC cohort: Cluster analysis EUCCONET International Workshop 18th October 2011

  2. Andrew Smith Pauline M EmmettP. Kirstin NewbyKate Northstone World Cancer Research Fund Dietary patterns in the ALSPAC cohort: Cluster analysis

  3. Dietary patterns • Examine diet as a whole • Start with many variables(e.g. FFQ, diet diary) • Express as a small number of variables Image: Paul / FreeDigitalPhotos.net

  4. Principal components analysis (PCA) • Examine diet as a whole • Start with many variables(e.g. FFQ, diet diary) • Use correlations between foods • Express as a small number of components Image: Paul / FreeDigitalPhotos.net

  5. Cluster analysis • Examine diet as a whole • Start with many variables(e.g. FFQ, diet diary) • Use similarities between people • Express as a small number of clusters Image: Paul / FreeDigitalPhotos.net

  6. Dietary patterns studies in ALSPAC

  7. Case study: PCA of FFQ age 7 Junk Northstone and Emmett, 2005 Traditional Health conscious Image: Suat Eman, winnond / FreeDigitalPhotos.net

  8. Dietary patterns studies in ALSPAC

  9. Cluster analysis • k-means is most widely-used method • Must avoid pitfalls • Standardization • Algorithm • Reliability Image: Boaz Yiftach / FreeDigitalPhotos.net

  10. Dietary patterns studies in ALSPAC

  11. Case study: cluster analysis of FFQ age 7 • FFQ administered to ALSPAC children at 81 months of age • Input variables are the same as PCA (Northstone, Emmett et al. 2005) • 8,279 children • 3 clusters • Smith et al. 2011

  12. Case study: cluster analysis of FFQ age 7

  13. Similarities with PCA

  14. Associations with socio-demographic vars

  15. Cluster analysis of diet diary data • Advantages • Similar 3-cluster solution(Processed, Plant-based, Traditional British) • Good separation between clusters • Disadvantages • Not robust to under-reporting, incomplete diaries

  16. Dietary patterns studies in ALSPAC

  17. Dietary patterns studies in ALSPAC

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