eprintid: 10202984
rev_number: 7
eprint_status: archive
userid: 699
dir: disk0/10/20/29/84
datestamp: 2025-01-07 16:05:47
lastmod: 2025-01-07 16:05:47
status_changed: 2025-01-07 16:05:47
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Bountziouka, Vassiliki
creators_name: Panagiotakos, Demosthenes B
title: The Role of Rotation Type used to Extract Dietary Patterns through Principal Component Analysis, on their Short-Term Repeatability
ispublished: pub
divisions: UCL
divisions: B02
divisions: D13
divisions: G25
keywords: Multivariate analysis, principal, components analysis, rotation type
note: © The Author(s), 2022. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/
abstract: Principal components analysis (PCA) is a widely used technique in nutritional epidemiology, to extract dietary patterns. To improve the interpretation of the derived patterns, it has been suggested to rotate the axes defined by PCA. This study aimed to evaluate whether rotation influences the repeatability of these patterns. For this reason PCA was applied in nutrient data of 500 participants (37 ± 15 years, 38% male) who were voluntarily enrolled in the study and asked to complete a semi-quantitative food frequency questionnaire (FFQ), twice within 15 days. The varimax and the quartimax orthogonal rotation methods, as well as the non-orthogonal promax and the oblimin methods were applied. The degree of agreement between the similar extracted patterns by each rotation method was assessed using the Bland and Altman method and Kendall’s tau-b coefficient. Good agreement was observed between the two administrations of the FFQ for the un-rotated components, while low-to-moderate agreement was observed for all rotation types (the quartimax and the oblimin method lead to more repeatable results). To conclude, when rotation is needed to improve food patterns’ interpretation, the quartimax and the oblimin methods seems to produce more robust results.
date: 2022-08-04
date_type: published
publisher: School of Statistics, Renmin University of China
official_url: https://doi.org/10.6339/JDS.2012.10(1).1013
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2105959
doi: 10.6339/JDS.2012.10(1).1013
lyricists_name: Bountziouka, Vasiliki
lyricists_id: VBOUN85
actors_name: Bountziouka, Vasiliki
actors_id: VBOUN85
actors_role: owner
full_text_status: public
publication: Journal of Data Science
volume: 10
number: 1
pagerange: 19-36
issn: 1680-743X
citation:        Bountziouka, Vassiliki;    Panagiotakos, Demosthenes B;      (2022)    The Role of Rotation Type used to Extract Dietary Patterns through Principal Component Analysis, on their Short-Term Repeatability.                   Journal of Data Science , 10  (1)   pp. 19-36.    10.6339/JDS.2012.10(1).1013 <https://doi.org/10.6339/JDS.2012.10%281%29.1013>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10202984/1/P035_Bountziouka%20et%20al_Rotation-repeatbility_J%20Data%20Sci%202012.pdf