Compositional analysis of the associations between 24-h movement behaviours and cardio-metabolic risk factors in overweight and obese adults with pre-diabetes from the PREVIEW study: cross-sectional baseline analysis.
Compositional analysis
Physical activity
Pre-diabetes
Sedentary time
Journal
The international journal of behavioral nutrition and physical activity
ISSN: 1479-5868
Titre abrégé: Int J Behav Nutr Phys Act
Pays: England
ID NLM: 101217089
Informations de publication
Date de publication:
04 03 2020
04 03 2020
Historique:
received:
14
10
2019
accepted:
17
02
2020
entrez:
6
3
2020
pubmed:
7
3
2020
medline:
2
9
2020
Statut:
epublish
Résumé
Physical activity, sedentary time and sleep have been shown to be associated with cardio-metabolic health. However, these associations are typically studied in isolation or without accounting for the effect of all movement behaviours and the constrained nature of data that comprise a finite whole such as a 24 h day. The aim of this study was to examine the associations between the composition of daily movement behaviours (including sleep, sedentary time (ST), light intensity physical activity (LIPA) and moderate-to-vigorous activity (MVPA)) and cardio-metabolic health, in a cross-sectional analysis of adults with pre-diabetes. Further, we quantified the predicted differences following reallocation of time between behaviours. Accelerometers were used to quantify daily movement behaviours in 1462 adults from eight countries with a body mass index (BMI) ≥25 kg·m Replacing MVPA with any other behaviour around the mean composition was associated with a poorer cardio-metabolic risk profile. Conversely, when MVPA was increased, the relationships with cardiometabolic risk markers was favourable but with smaller predicted changes than when MVPA was replaced. Further, substituting ST with LIPA predicted improvements in cardio-metabolic risk markers, most notably insulin and HOMA-IR. This is the first study to use compositional analysis of the 24 h movement composition in adults with overweight/obesity and pre-diabetes. These findings build on previous literature that suggest replacing ST with LIPA may produce metabolic benefits that contribute to the prevention and management of type 2 diabetes. Furthermore, the asymmetry in the predicted change in risk markers following the reallocation of time to/from MVPA highlights the importance of maintaining existing levels of MVPA. ClinicalTrials.gov (NCT01777893).
Sections du résumé
BACKGROUND
Physical activity, sedentary time and sleep have been shown to be associated with cardio-metabolic health. However, these associations are typically studied in isolation or without accounting for the effect of all movement behaviours and the constrained nature of data that comprise a finite whole such as a 24 h day. The aim of this study was to examine the associations between the composition of daily movement behaviours (including sleep, sedentary time (ST), light intensity physical activity (LIPA) and moderate-to-vigorous activity (MVPA)) and cardio-metabolic health, in a cross-sectional analysis of adults with pre-diabetes. Further, we quantified the predicted differences following reallocation of time between behaviours.
METHODS
Accelerometers were used to quantify daily movement behaviours in 1462 adults from eight countries with a body mass index (BMI) ≥25 kg·m
RESULTS
Replacing MVPA with any other behaviour around the mean composition was associated with a poorer cardio-metabolic risk profile. Conversely, when MVPA was increased, the relationships with cardiometabolic risk markers was favourable but with smaller predicted changes than when MVPA was replaced. Further, substituting ST with LIPA predicted improvements in cardio-metabolic risk markers, most notably insulin and HOMA-IR.
CONCLUSIONS
This is the first study to use compositional analysis of the 24 h movement composition in adults with overweight/obesity and pre-diabetes. These findings build on previous literature that suggest replacing ST with LIPA may produce metabolic benefits that contribute to the prevention and management of type 2 diabetes. Furthermore, the asymmetry in the predicted change in risk markers following the reallocation of time to/from MVPA highlights the importance of maintaining existing levels of MVPA.
TRIAL REGISTRATION
ClinicalTrials.gov (NCT01777893).
Identifiants
pubmed: 32131847
doi: 10.1186/s12966-020-00936-5
pii: 10.1186/s12966-020-00936-5
pmc: PMC7055067
doi:
Substances chimiques
Blood Glucose
0
Banques de données
ClinicalTrials.gov
['NCT01777893']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
29Références
Int J Behav Nutr Phys Act. 2008 Nov 06;5:56
pubmed: 18990237
PLoS One. 2013;8(2):e55542
pubmed: 23418444
Med Sci Sports Exerc. 2008 Jan;40(1):181-8
pubmed: 18091006
Obesity (Silver Spring). 2013 Jan;21(1):32-44
pubmed: 23505166
Ann Intern Med. 2015 Jan 20;162(2):123-32
pubmed: 25599350
Appl Physiol Nutr Metab. 2016 Jun;41(6 Suppl 3):S294-302
pubmed: 27306435
Int J Behav Nutr Phys Act. 2017 May 10;14(1):64
pubmed: 28486972
PLoS One. 2015 Oct 13;10(10):e0139984
pubmed: 26461112
Br J Sports Med. 2019 Aug;53(16):1013-1020
pubmed: 29440040
Int J Environ Res Public Health. 2018 Oct 17;15(10):
pubmed: 30336601
Maturitas. 2018 Apr;110:104-110
pubmed: 29563028
Diabetes Care. 2018 Mar;41(3):562-569
pubmed: 29158249
J Am Heart Assoc. 2018 Mar 22;7(6):
pubmed: 29567764
Diabetologia. 2016 Dec;59(12):2527-2545
pubmed: 27747395
Appl Physiol Nutr Metab. 2014 Jan;39(1):53-7
pubmed: 24383507
Curr Diab Rep. 2016 Nov;16(11):114
pubmed: 27699700
Int J Environ Res Public Health. 2018 Jul 09;15(7):
pubmed: 29987233
Appl Physiol Nutr Metab. 2018 Oct;43(10):1027-1032
pubmed: 29701486
Eur J Cardiovasc Prev Rehabil. 2005 Oct;12(5):451-8
pubmed: 16210931
BMJ. 2019 Aug 21;366:l4570
pubmed: 31434697
Behav Res Methods. 2017 Aug;49(4):1494-1502
pubmed: 27620283
Diabetologia. 2013 May;56(5):1012-20
pubmed: 23456209
J Appl Physiol (1985). 2004 Jan;96(1):101-6
pubmed: 12972442
Clin Chem. 1972 Jun;18(6):499-502
pubmed: 4337382
Nutrients. 2017 Jun 20;9(6):
pubmed: 28632180
J Intern Med. 2007 Sep;262(3):273-87
pubmed: 17697152
Best Pract Res Clin Endocrinol Metab. 2010 Oct;24(5):731-43
pubmed: 21112022
BMC Public Health. 2018 Mar 2;18(1):311
pubmed: 29499689
Eur J Epidemiol. 2015 Jul;30(7):529-42
pubmed: 26092138
Diabetes Care. 2004 Jun;27(6):1487-95
pubmed: 15161807
Am J Epidemiol. 2009 Aug 15;170(4):519-27
pubmed: 19584129
Stat Methods Med Res. 2018 Dec;27(12):3726-3738
pubmed: 28555522
Int J Behav Nutr Phys Act. 2018 Jul 9;15(1):65
pubmed: 29986718