Academic Journal
Compositional PLS biplot based on pivoting balances: an application to explore the association between 24-h movement behaviours and adiposity
| Τίτλος: | Compositional PLS biplot based on pivoting balances: an application to explore the association between 24-h movement behaviours and adiposity |
|---|---|
| Συγγραφείς: | Štefelová, Nikola, Palarea Albaladejo, Javier, Hron, Karel, Gába, Aleš, Dygrýn, Jan |
| Συνεισφορές: | Agencia Estatal de Investigación |
| Πηγή: | Computational Statistics, 2024, vol. 39, p. 835-863 ; Articles publicats (D-IMA) |
| Στοιχεία εκδότη: | Springer |
| Έτος έκδοσης: | 2024 |
| Συλλογή: | Universitat de Girona: DUGiDocs (UdG Digital Repository) |
| Θεματικοί όροι: | Estadística -- Informàtica, Statistics -- Data processing, Algorismes computacionals, Computer algorithms |
| Περιγραφή: | 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 ; Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work has been partly supported by the Czech Science Foundation under reg. no. GA18-09188S (to N.Š., K.H., A.G. and J.D.) and no. GA22-02392S (to K.H., A.G. and J.D.), the Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/501100011033) and ERDF A way of making Europe [grant ... |
| Τύπος εγγράφου: | article in journal/newspaper |
| Περιγραφή αρχείου: | application/pdf |
| Γλώσσα: | English |
| ISSN: | 0943-4062 1613-9658 |
| Relation: | info:eu-repo/semantics/altIdentifier/issn/0943-4062; info:eu-repo/semantics/altIdentifier/eissn/1613-9658; PID2021-123833OB-I00; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123833OB-I00/ES/GENERATION AND TRANSFER OF COMPOSITIONAL DATA ANALYSIS KNOWLEDGE/; https://hdl.handle.net/10256/22770 |
| Διαθεσιμότητα: | https://hdl.handle.net/10256/22770 |
| Rights: | Attribution 4.0 International ; http://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess |
| Αριθμός Καταχώρησης: | edsbas.F349F90F |
| Βάση Δεδομένων: | BASE |
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| Items | – Name: Title Label: Title Group: Ti Data: Compositional PLS biplot based on pivoting balances: an application to explore the association between 24-h movement behaviours and adiposity – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Štefelová%2C+Nikola%22">Štefelová, Nikola</searchLink><br /><searchLink fieldCode="AR" term="%22Palarea+Albaladejo%2C+Javier%22">Palarea Albaladejo, Javier</searchLink><br /><searchLink fieldCode="AR" term="%22Hron%2C+Karel%22">Hron, Karel</searchLink><br /><searchLink fieldCode="AR" term="%22Gába%2C+Aleš%22">Gába, Aleš</searchLink><br /><searchLink fieldCode="AR" term="%22Dygrýn%2C+Jan%22">Dygrýn, Jan</searchLink> – Name: Author Label: Contributors Group: Au Data: Agencia Estatal de Investigación – Name: TitleSource Label: Source Group: Src Data: Computational Statistics, 2024, vol. 39, p. 835-863 ; Articles publicats (D-IMA) – Name: Publisher Label: Publisher Information Group: PubInfo Data: Springer – Name: DatePubCY Label: Publication Year Group: Date Data: 2024 – Name: Subset Label: Collection Group: HoldingsInfo Data: Universitat de Girona: DUGiDocs (UdG Digital Repository) – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Estadística+--+Informàtica%22">Estadística -- Informàtica</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics+--+Data+processing%22">Statistics -- Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Algorismes+computacionals%22">Algorismes computacionals</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+algorithms%22">Computer algorithms</searchLink> – Name: Abstract Label: Description Group: Ab Data: 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 ; Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work has been partly supported by the Czech Science Foundation under reg. no. GA18-09188S (to N.Š., K.H., A.G. and J.D.) and no. GA22-02392S (to K.H., A.G. and J.D.), the Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/501100011033) and ERDF A way of making Europe [grant ... – Name: TypeDocument Label: Document Type Group: TypDoc Data: article in journal/newspaper – Name: Format Label: File Description Group: SrcInfo Data: application/pdf – Name: Language Label: Language Group: Lang Data: English – Name: ISSN Label: ISSN Group: ISSN Data: 0943-4062<br />1613-9658 – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: info:eu-repo/semantics/altIdentifier/issn/0943-4062; info:eu-repo/semantics/altIdentifier/eissn/1613-9658; PID2021-123833OB-I00; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123833OB-I00/ES/GENERATION AND TRANSFER OF COMPOSITIONAL DATA ANALYSIS KNOWLEDGE/; https://hdl.handle.net/10256/22770 – Name: URL Label: Availability Group: URL Data: https://hdl.handle.net/10256/22770 – Name: Copyright Label: Rights Group: Cpyrght Data: Attribution 4.0 International ; http://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess – Name: AN Label: Accession Number Group: ID Data: edsbas.F349F90F |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English Subjects: – SubjectFull: Estadística -- Informàtica Type: general – SubjectFull: Statistics -- Data processing Type: general – SubjectFull: Algorismes computacionals Type: general – SubjectFull: Computer algorithms Type: general Titles: – TitleFull: Compositional PLS biplot based on pivoting balances: an application to explore the association between 24-h movement behaviours and adiposity Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Štefelová, Nikola – PersonEntity: Name: NameFull: Palarea Albaladejo, Javier – PersonEntity: Name: NameFull: Hron, Karel – PersonEntity: Name: NameFull: Gába, Aleš – PersonEntity: Name: NameFull: Dygrýn, Jan – PersonEntity: Name: NameFull: Agencia Estatal de Investigación IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09434062 – Type: issn-print Value: 16139658 – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa Titles: – TitleFull: Computational Statistics, 2024, vol. 39, p. 835-863 ; Articles publicats (D-IMA Type: main |
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