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Andrew Smith

Andrew Smith. Dietary patterns in the ALSPAC cohort: Cluster analysis EUCCONET International Workshop 18th October 2011. Andrew Smith. Pauline Emmett P. K. Newby Kate Northstone World Cancer Research Fund. Dietary patterns in the ALSPAC cohort: Cluster analysis.

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Andrew Smith

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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 EmmettP. K. 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. Cluster analysis of diet diary data • 7473 children aged 10 • Advantages • Similar 3-cluster solution(Processed, Plant-based, Traditional British) • Good separation between clusters • Disadvantages • Not robust to under-reporting • PCA shows better associations with fat mass

  15. Dietary patterns studies in ALSPAC

  16. Dietary patterns studies in ALSPAC

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