Associations of Physical Behaviours and Behavioural Reallocations with Markers of Metabolic Health: A Compositional Data Analysis
Standard statistical modelling has shown that the reallocation of sitting time to either standing or stepping may be beneficial for metabolic health. However, this overlooks the inherent dependency of time spent in all behaviours. The aim is to examine the associations between physical behaviours an...
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doaj-f75a7f365ec14cb58ac86a471111fccb2020-11-25T02:29:16ZengMDPI AGInternational Journal of Environmental Research and Public Health1660-46012018-10-011510228010.3390/ijerph15102280ijerph15102280Associations of Physical Behaviours and Behavioural Reallocations with Markers of Metabolic Health: A Compositional Data AnalysisGregory J. H. Biddle0Charlotte L. Edwardson1Joseph Henson2Melanie J. Davies3Kamlesh Khunti4Alex V. Rowlands5Thomas Yates6Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UKDiabetes Research Centre, University of Leicester, Leicester LE5 4PW, UKDiabetes Research Centre, University of Leicester, Leicester LE5 4PW, UKDiabetes Research Centre, University of Leicester, Leicester LE5 4PW, UKDiabetes Research Centre, University of Leicester, Leicester LE5 4PW, UKDiabetes Research Centre, University of Leicester, Leicester LE5 4PW, UKDiabetes Research Centre, University of Leicester, Leicester LE5 4PW, UKStandard statistical modelling has shown that the reallocation of sitting time to either standing or stepping may be beneficial for metabolic health. However, this overlooks the inherent dependency of time spent in all behaviours. The aim is to examine the associations between physical behaviours and markers of metabolic health (fasting glucose, fasting insulin, 2-h glucose, 2-h insulin, Homeostasis Model Assessment of Insulin Sensitivity (HOMA-IS), Matsuda Insulin Sensitivity Index (Matsuda-ISI) while quantifying the associations of reallocating time from one physical behaviour to another using compositional analysis. Objectively measured physical behaviour data were analysed (n = 435) using compositional analysis and compositional isotemporal substitutions to estimate the association of reallocating time from one behaviour to another in a population at high risk of type 2 diabetes mellitus (T2DM). Stepping time was associated with all markers of metabolic health relative to all other behaviours. Reallocating 30 min from sleep, sitting, or standing to stepping was associated with 5–6 fold lower 2-h glucose, 15–17 fold lower 2-h insulin, and higher insulin sensitivity (10–11 fold via HOMA-IS, 12–15 fold via Matsuda-ISI). Associations of reallocating time from any behaviour to stepping were maintained for 2-h glucose, 2-h insulin, and Matsuda-ISI after further adjusting for body mass index (BMI). Relocating time from stepping into sleep, sitting, or standing was associated with lower insulin sensitivity. Stepping time may be the most important behavioural composition when promoting improved metabolic health in adults at risk of T2DM.http://www.mdpi.com/1660-4601/15/10/2280sleepsedentary behaviourphysical activitytime usemetabolic health |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gregory J. H. Biddle Charlotte L. Edwardson Joseph Henson Melanie J. Davies Kamlesh Khunti Alex V. Rowlands Thomas Yates |
spellingShingle |
Gregory J. H. Biddle Charlotte L. Edwardson Joseph Henson Melanie J. Davies Kamlesh Khunti Alex V. Rowlands Thomas Yates Associations of Physical Behaviours and Behavioural Reallocations with Markers of Metabolic Health: A Compositional Data Analysis International Journal of Environmental Research and Public Health sleep sedentary behaviour physical activity time use metabolic health |
author_facet |
Gregory J. H. Biddle Charlotte L. Edwardson Joseph Henson Melanie J. Davies Kamlesh Khunti Alex V. Rowlands Thomas Yates |
author_sort |
Gregory J. H. Biddle |
title |
Associations of Physical Behaviours and Behavioural Reallocations with Markers of Metabolic Health: A Compositional Data Analysis |
title_short |
Associations of Physical Behaviours and Behavioural Reallocations with Markers of Metabolic Health: A Compositional Data Analysis |
title_full |
Associations of Physical Behaviours and Behavioural Reallocations with Markers of Metabolic Health: A Compositional Data Analysis |
title_fullStr |
Associations of Physical Behaviours and Behavioural Reallocations with Markers of Metabolic Health: A Compositional Data Analysis |
title_full_unstemmed |
Associations of Physical Behaviours and Behavioural Reallocations with Markers of Metabolic Health: A Compositional Data Analysis |
title_sort |
associations of physical behaviours and behavioural reallocations with markers of metabolic health: a compositional data analysis |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1660-4601 |
publishDate |
2018-10-01 |
description |
Standard statistical modelling has shown that the reallocation of sitting time to either standing or stepping may be beneficial for metabolic health. However, this overlooks the inherent dependency of time spent in all behaviours. The aim is to examine the associations between physical behaviours and markers of metabolic health (fasting glucose, fasting insulin, 2-h glucose, 2-h insulin, Homeostasis Model Assessment of Insulin Sensitivity (HOMA-IS), Matsuda Insulin Sensitivity Index (Matsuda-ISI) while quantifying the associations of reallocating time from one physical behaviour to another using compositional analysis. Objectively measured physical behaviour data were analysed (n = 435) using compositional analysis and compositional isotemporal substitutions to estimate the association of reallocating time from one behaviour to another in a population at high risk of type 2 diabetes mellitus (T2DM). Stepping time was associated with all markers of metabolic health relative to all other behaviours. Reallocating 30 min from sleep, sitting, or standing to stepping was associated with 5–6 fold lower 2-h glucose, 15–17 fold lower 2-h insulin, and higher insulin sensitivity (10–11 fold via HOMA-IS, 12–15 fold via Matsuda-ISI). Associations of reallocating time from any behaviour to stepping were maintained for 2-h glucose, 2-h insulin, and Matsuda-ISI after further adjusting for body mass index (BMI). Relocating time from stepping into sleep, sitting, or standing was associated with lower insulin sensitivity. Stepping time may be the most important behavioural composition when promoting improved metabolic health in adults at risk of T2DM. |
topic |
sleep sedentary behaviour physical activity time use metabolic health |
url |
http://www.mdpi.com/1660-4601/15/10/2280 |
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