Compositional PLS biplot based on pivoting balances: an application to explore the association between 24‑h movement behaviours and adiposity

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15640%2F24%3A73616439" target="_blank" >RIV/61989592:15640/24:73616439 - isvavai.cz</a>

Alternative codes found

RIV/61989592:15310/24:73616439 RIV/61989592:15510/24:73616439

Result on the web

<a href="https://link.springer.com/article/10.1007/s00180-023-01324-w" target="_blank" >https://link.springer.com/article/10.1007/s00180-023-01324-w</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00180-023-01324-w" target="_blank" >10.1007/s00180-023-01324-w</a>

Result language

angličtina

Original language name

Compositional PLS biplot based on pivoting balances: an application to explore the association between 24‑h movement behaviours and adiposity

Original language description

Movement behaviour data are compositional in nature, therefore the logratio methodology has been demonstrated appropriate for their statistical analysis. Compositional data can be mapped into the ordinary real space through new sets of variables (orthonormal logratio coordinates) representing balances between the original compositional parts. Geometric rotation between orthonormal logratio coordinates systems can be used to extract relevant information from any of them. We exploit this idea to introduce the concept of pivoting balances, which facilitates the construction and use of interpretable balances according to the purpose of the data analysis. Moreover, graphical representation through ternary diagrams has been ordinarily used to explore time-use compositions consisting of, or being amalgamated into, three parts. Data dimension reduction techniques can however serve well for visualisation and facilitate understanding in the case of larger compositions. We here develop suitable pivoting balance coordinates that in combination with an adapted formulation of compositional partial least squares regression biplots enable meaningful visualisation of more complex time-use patterns and their relationships with an outcome variable. The use and features of the proposed method are illustrated in a study examining the association between movement behaviours and adiposity from a sample of Czech school-aged girls. The results suggest that an adequate strategy for obesity prevention in this group would be to focus on achieving a positive balance of vigorous physical activity in combination with sleep against the other daily behaviours.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10103 - Statistics and probability

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

COMPUTATIONAL STATISTICS

ISSN

0943-4062

e-ISSN

1613-9658

Volume of the periodical

39

Issue of the periodical within the volume

JAN

Country of publishing house

DE - GERMANY

Number of pages

29

Pages from-to

"835–863"

UT code for WoS article

000921045600001

EID of the result in the Scopus database

2-s2.0-85146949224