Cargando…

A comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity

BACKGROUND: Data on time spent in physical activity, sedentary behavior and sleep during a day is compositional in nature, i.e. they add up to a constant value. Compositional data have fundamentally different properties from unconstrained data in real space, and require other analytical procedures,...

Descripción completa

Detalles Bibliográficos
Autores principales: Gupta, Nidhi, Mathiassen, Svend Erik, Mateu-Figueras, Glòria, Heiden, Marina, Hallman, David M., Jørgensen, Marie Birk, Holtermann, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003121/
https://www.ncbi.nlm.nih.gov/pubmed/29903009
http://dx.doi.org/10.1186/s12966-018-0685-1
_version_ 1783332310881402880
author Gupta, Nidhi
Mathiassen, Svend Erik
Mateu-Figueras, Glòria
Heiden, Marina
Hallman, David M.
Jørgensen, Marie Birk
Holtermann, Andreas
author_facet Gupta, Nidhi
Mathiassen, Svend Erik
Mateu-Figueras, Glòria
Heiden, Marina
Hallman, David M.
Jørgensen, Marie Birk
Holtermann, Andreas
author_sort Gupta, Nidhi
collection PubMed
description BACKGROUND: Data on time spent in physical activity, sedentary behavior and sleep during a day is compositional in nature, i.e. they add up to a constant value. Compositional data have fundamentally different properties from unconstrained data in real space, and require other analytical procedures, referred to as compositional data analysis (CoDA). Most physical activity and sedentary behavior studies, however, still apply analytical procedures adapted to data in real space, which can lead to misleading results. The present study describes a comparison of time spent sedentary and in physical activity between age groups and sexes, and investigates the extent to which results obtained by CoDA differ from those obtained using standard analytical procedures. METHODS: Time spent sedentary, standing, and in physical activity (walking/running/stair climbing/cycling) during work and leisure was determined for 1–4 days among 677 blue-collar workers using accelerometry. Differences between sexes and age groups were tested using MANOVA, using both a standard and a CoDA approach based on isometric log-ratio transformed data. RESULTS: When determining differences between sexes for different activities time at work, the effect size using standard analysis (η(2) = 0.045, p < 0.001) was 15% smaller than that obtained with CoDA (η(2) = 0.052, p < 0.001), although both approaches suggested a statistically significant difference. When determining corresponding differences between age groups, CoDA resulted in a 60% larger, and significant, effect size (η(2) = 0.012, p = 0.02) than that obtained with the standard approach (η(2) = 0.008, p = 0.07). During leisure, results based on standard (age; η(2) = 0.007, p = 0.09; sex; η(2) = 0.052, p < 0.001) and CoDA (age; η(2) = 0.007, p = 0.09; sex; η(2) = 0.051, p < 0.001) analyses were similar. CONCLUSION: Results and, hence, inferences concerning age and sex-based differences in time spent sedentary and in physical activity at work differed between CoDA and standard analysis. We encourage researchers to use CoDA in similar studies, to adequately account for the compositional nature of data on physical activity and sedentary behavior.
format Online
Article
Text
id pubmed-6003121
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-60031212018-07-06 A comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity Gupta, Nidhi Mathiassen, Svend Erik Mateu-Figueras, Glòria Heiden, Marina Hallman, David M. Jørgensen, Marie Birk Holtermann, Andreas Int J Behav Nutr Phys Act Methodology BACKGROUND: Data on time spent in physical activity, sedentary behavior and sleep during a day is compositional in nature, i.e. they add up to a constant value. Compositional data have fundamentally different properties from unconstrained data in real space, and require other analytical procedures, referred to as compositional data analysis (CoDA). Most physical activity and sedentary behavior studies, however, still apply analytical procedures adapted to data in real space, which can lead to misleading results. The present study describes a comparison of time spent sedentary and in physical activity between age groups and sexes, and investigates the extent to which results obtained by CoDA differ from those obtained using standard analytical procedures. METHODS: Time spent sedentary, standing, and in physical activity (walking/running/stair climbing/cycling) during work and leisure was determined for 1–4 days among 677 blue-collar workers using accelerometry. Differences between sexes and age groups were tested using MANOVA, using both a standard and a CoDA approach based on isometric log-ratio transformed data. RESULTS: When determining differences between sexes for different activities time at work, the effect size using standard analysis (η(2) = 0.045, p < 0.001) was 15% smaller than that obtained with CoDA (η(2) = 0.052, p < 0.001), although both approaches suggested a statistically significant difference. When determining corresponding differences between age groups, CoDA resulted in a 60% larger, and significant, effect size (η(2) = 0.012, p = 0.02) than that obtained with the standard approach (η(2) = 0.008, p = 0.07). During leisure, results based on standard (age; η(2) = 0.007, p = 0.09; sex; η(2) = 0.052, p < 0.001) and CoDA (age; η(2) = 0.007, p = 0.09; sex; η(2) = 0.051, p < 0.001) analyses were similar. CONCLUSION: Results and, hence, inferences concerning age and sex-based differences in time spent sedentary and in physical activity at work differed between CoDA and standard analysis. We encourage researchers to use CoDA in similar studies, to adequately account for the compositional nature of data on physical activity and sedentary behavior. BioMed Central 2018-06-15 /pmc/articles/PMC6003121/ /pubmed/29903009 http://dx.doi.org/10.1186/s12966-018-0685-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology
Gupta, Nidhi
Mathiassen, Svend Erik
Mateu-Figueras, Glòria
Heiden, Marina
Hallman, David M.
Jørgensen, Marie Birk
Holtermann, Andreas
A comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity
title A comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity
title_full A comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity
title_fullStr A comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity
title_full_unstemmed A comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity
title_short A comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity
title_sort comparison of standard and compositional data analysis in studies addressing group differences in sedentary behavior and physical activity
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6003121/
https://www.ncbi.nlm.nih.gov/pubmed/29903009
http://dx.doi.org/10.1186/s12966-018-0685-1
work_keys_str_mv AT guptanidhi acomparisonofstandardandcompositionaldataanalysisinstudiesaddressinggroupdifferencesinsedentarybehaviorandphysicalactivity
AT mathiassensvenderik acomparisonofstandardandcompositionaldataanalysisinstudiesaddressinggroupdifferencesinsedentarybehaviorandphysicalactivity
AT mateufiguerasgloria acomparisonofstandardandcompositionaldataanalysisinstudiesaddressinggroupdifferencesinsedentarybehaviorandphysicalactivity
AT heidenmarina acomparisonofstandardandcompositionaldataanalysisinstudiesaddressinggroupdifferencesinsedentarybehaviorandphysicalactivity
AT hallmandavidm acomparisonofstandardandcompositionaldataanalysisinstudiesaddressinggroupdifferencesinsedentarybehaviorandphysicalactivity
AT jørgensenmariebirk acomparisonofstandardandcompositionaldataanalysisinstudiesaddressinggroupdifferencesinsedentarybehaviorandphysicalactivity
AT holtermannandreas acomparisonofstandardandcompositionaldataanalysisinstudiesaddressinggroupdifferencesinsedentarybehaviorandphysicalactivity
AT guptanidhi comparisonofstandardandcompositionaldataanalysisinstudiesaddressinggroupdifferencesinsedentarybehaviorandphysicalactivity
AT mathiassensvenderik comparisonofstandardandcompositionaldataanalysisinstudiesaddressinggroupdifferencesinsedentarybehaviorandphysicalactivity
AT mateufiguerasgloria comparisonofstandardandcompositionaldataanalysisinstudiesaddressinggroupdifferencesinsedentarybehaviorandphysicalactivity
AT heidenmarina comparisonofstandardandcompositionaldataanalysisinstudiesaddressinggroupdifferencesinsedentarybehaviorandphysicalactivity
AT hallmandavidm comparisonofstandardandcompositionaldataanalysisinstudiesaddressinggroupdifferencesinsedentarybehaviorandphysicalactivity
AT jørgensenmariebirk comparisonofstandardandcompositionaldataanalysisinstudiesaddressinggroupdifferencesinsedentarybehaviorandphysicalactivity
AT holtermannandreas comparisonofstandardandcompositionaldataanalysisinstudiesaddressinggroupdifferencesinsedentarybehaviorandphysicalactivity