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Differences in Free-Living Patterns of Sedentary Behaviour between Office Employees with Diabetes and Office Employees without Diabetes: A Principal Component Analysis for Clinical Practice

Aims: To identify principal components of free-living patterns of sedentary behaviour in office employees with type 2 diabetes (T2D) compared to normal glucose metabolism (NGM) office employees, using principal component analysis (PCA). Methods: 213 office employees (n = 81 with T2D; n = 132 with NG...

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Autores principales: Colomer, Francesc Alòs, Cugat, Mª Àngels Colomer, Bort-Roig, Judit, Chirveches-Pérez, Emilia, Zaldúa, Yoseba Cánovas, Martín-Cantera, Carlos, Franch-Nadal, Josep, Puig-Ribera, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566776/
https://www.ncbi.nlm.nih.gov/pubmed/36231564
http://dx.doi.org/10.3390/ijerph191912245
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author Colomer, Francesc Alòs
Cugat, Mª Àngels Colomer
Bort-Roig, Judit
Chirveches-Pérez, Emilia
Zaldúa, Yoseba Cánovas
Martín-Cantera, Carlos
Franch-Nadal, Josep
Puig-Ribera, Anna
author_facet Colomer, Francesc Alòs
Cugat, Mª Àngels Colomer
Bort-Roig, Judit
Chirveches-Pérez, Emilia
Zaldúa, Yoseba Cánovas
Martín-Cantera, Carlos
Franch-Nadal, Josep
Puig-Ribera, Anna
author_sort Colomer, Francesc Alòs
collection PubMed
description Aims: To identify principal components of free-living patterns of sedentary behaviour in office employees with type 2 diabetes (T2D) compared to normal glucose metabolism (NGM) office employees, using principal component analysis (PCA). Methods: 213 office employees (n = 81 with T2D; n = 132 with NGM) wore an activPAL inclinometer 24 h a day for 7 consecutive days. Comparions of sedentary behaviour patterns between adults with T2D and NGM determined the dimensions that best characterise the sedentary behaviour patterns of office employees with T2D at work, outside work and at weekends. Results: The multivariate PCA technique identified two components that explained 60% of the variability present in the data of sedentary behaviour patterns in the population with diabetes. This was characterised by a fewer number of daily breaks and breaks in time intervals of less than 20 min both at work, outside work and at weekends. On average, adults with T2D took fewer 31 breaks/day than adults without diabetes. Conclusion: Effective interventions from clinical practice to tackle prolonged sedentary behaviour in office employees with T2D should focus on increasing the number of daily sedentary breaks.
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spelling pubmed-95667762022-10-15 Differences in Free-Living Patterns of Sedentary Behaviour between Office Employees with Diabetes and Office Employees without Diabetes: A Principal Component Analysis for Clinical Practice Colomer, Francesc Alòs Cugat, Mª Àngels Colomer Bort-Roig, Judit Chirveches-Pérez, Emilia Zaldúa, Yoseba Cánovas Martín-Cantera, Carlos Franch-Nadal, Josep Puig-Ribera, Anna Int J Environ Res Public Health Article Aims: To identify principal components of free-living patterns of sedentary behaviour in office employees with type 2 diabetes (T2D) compared to normal glucose metabolism (NGM) office employees, using principal component analysis (PCA). Methods: 213 office employees (n = 81 with T2D; n = 132 with NGM) wore an activPAL inclinometer 24 h a day for 7 consecutive days. Comparions of sedentary behaviour patterns between adults with T2D and NGM determined the dimensions that best characterise the sedentary behaviour patterns of office employees with T2D at work, outside work and at weekends. Results: The multivariate PCA technique identified two components that explained 60% of the variability present in the data of sedentary behaviour patterns in the population with diabetes. This was characterised by a fewer number of daily breaks and breaks in time intervals of less than 20 min both at work, outside work and at weekends. On average, adults with T2D took fewer 31 breaks/day than adults without diabetes. Conclusion: Effective interventions from clinical practice to tackle prolonged sedentary behaviour in office employees with T2D should focus on increasing the number of daily sedentary breaks. MDPI 2022-09-27 /pmc/articles/PMC9566776/ /pubmed/36231564 http://dx.doi.org/10.3390/ijerph191912245 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Colomer, Francesc Alòs
Cugat, Mª Àngels Colomer
Bort-Roig, Judit
Chirveches-Pérez, Emilia
Zaldúa, Yoseba Cánovas
Martín-Cantera, Carlos
Franch-Nadal, Josep
Puig-Ribera, Anna
Differences in Free-Living Patterns of Sedentary Behaviour between Office Employees with Diabetes and Office Employees without Diabetes: A Principal Component Analysis for Clinical Practice
title Differences in Free-Living Patterns of Sedentary Behaviour between Office Employees with Diabetes and Office Employees without Diabetes: A Principal Component Analysis for Clinical Practice
title_full Differences in Free-Living Patterns of Sedentary Behaviour between Office Employees with Diabetes and Office Employees without Diabetes: A Principal Component Analysis for Clinical Practice
title_fullStr Differences in Free-Living Patterns of Sedentary Behaviour between Office Employees with Diabetes and Office Employees without Diabetes: A Principal Component Analysis for Clinical Practice
title_full_unstemmed Differences in Free-Living Patterns of Sedentary Behaviour between Office Employees with Diabetes and Office Employees without Diabetes: A Principal Component Analysis for Clinical Practice
title_short Differences in Free-Living Patterns of Sedentary Behaviour between Office Employees with Diabetes and Office Employees without Diabetes: A Principal Component Analysis for Clinical Practice
title_sort differences in free-living patterns of sedentary behaviour between office employees with diabetes and office employees without diabetes: a principal component analysis for clinical practice
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566776/
https://www.ncbi.nlm.nih.gov/pubmed/36231564
http://dx.doi.org/10.3390/ijerph191912245
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