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Modelling the Reallocation of Time Spent Sitting into Physical Activity: Isotemporal Substitution vs. Compositional Isotemporal Substitution

Authors :
Stephen Sutton
Gregory J H Biddle
Joseph Henson
Charlotte L. Edwardson
Thomas Yates
Alex V. Rowlands
Stuart J. H. Biddle
Kamlesh Khunti
Melanie J. Davies
Henson, Joseph [0000-0002-3898-7053]
Biddle, Stuart J. H. [0000-0002-7663-6895]
Khunti, Kamlesh [0000-0003-2343-7099]
Rowlands, Alex V. [0000-0002-1463-697X]
Apollo - University of Cambridge Repository
Biddle, Stuart J H [0000-0002-7663-6895]
Rowlands, Alex V [0000-0002-1463-697X]
Biddle, Stuart JH [0000-0002-7663-6895]
Source :
International Journal of Environmental Research and Public Health, International Journal of Environmental Research and Public Health, Vol 18, Iss 6210, p 6210 (2021), Volume 18, Issue 12
Publication Year :
2021

Abstract

Funder: Department of Health<br />Isotemporal substitution modelling (ISM) and compositional isotemporal modelling (CISM) are statistical approaches used in epidemiology to model the associations of replacing time in one physical behaviour with time in another. This study's aim was to use both ISM and CISM to examine and compare associations of reallocating 60 min of sitting into standing or stepping with markers of cardiometabolic health. Cross-sectional data collected during three randomised control trials (RCTs) were utilised. All participants (n = 1554) were identified as being at high risk of developing type 2 diabetes. Reallocating 60 min from sitting to standing and to stepping was associated with a lower BMI, waist circumference, and triglycerides and higher high-density lipoprotein cholesterol using both ISM and CISM (p < 0.05). The direction and magnitude of significant associations were consistent across methods. No associations were observed for hemoglobin A1c, total cholesterol, or low-density lipoprotein cholesterol for either method. Results of both ISM and CISM were broadly similar, allowing for the interpretation of previous research, and should enable future research in order to make informed methodological, data-driven decisions.

Details

ISSN :
16604601
Volume :
18
Issue :
12
Database :
OpenAIRE
Journal :
International journal of environmental research and public health
Accession number :
edsair.doi.dedup.....b778690511f45c5100c43c3c3a1f6e2a