Using compositional data analysis to explore accumulation of sedentary behavior, physical activity and youth health.
Accumulation patterns
Cardiometabolic health
Children
Compositional data analysis
Time-use
Journal
Journal of sport and health science
ISSN: 2213-2961
Titre abrégé: J Sport Health Sci
Pays: China
ID NLM: 101606001
Informations de publication
Date de publication:
03 2022
03 2022
Historique:
received:
22
07
2020
revised:
23
12
2020
accepted:
22
01
2021
pubmed:
20
3
2021
medline:
6
4
2022
entrez:
19
3
2021
Statut:
ppublish
Résumé
The study aimed to describe youth time-use compositions, focusing on time spent in shorter and longer bouts of sedentary behavior and physical activity (PA), and to examine associations of these time-use compositions with cardiometabolic biomarkers. Accelerometer and cardiometabolic biomarker data from 2 Australian studies involving youths 7-13 years old were pooled (complete cases with accelerometry and adiposity marker data, n = 782). A 9-component time-use composition was formed using compositional data analysis: time in shorter and longer bouts of sedentary behavior; time in shorter and longer bouts of light-, moderate-, or vigorous-intensity PA; and "other time" (i.e., non-wear/sleep). Shorter and longer bouts of sedentary time were defined as <5 min and ≥5 min, respectively. Shorter bouts of light-, moderate-, and vigorous-intensity PA were defined as <1 min; longer bouts were defined as ≥1 min. Regression models examined associations between overall time-use composition and cardiometabolic biomarkers. Then, associations were derived between ratios of longer activity patterns relative to shorter activity patterns, and of each intensity level relative to the other intensity levels and "other time", and cardiometabolic biomarkers. Confounder-adjusted models showed that the overall time-use composition was associated with adiposity, blood pressure, lipids, and the summary score. Specifically, more time in longer bouts of light-intensity PA relative to shorter bouts of light-intensity PA was significantly associated with greater body mass index z-score (zBMI) (β = 1.79; SE = 0.68) and waist circumference (β = 18.35, SE = 4.78). When each activity intensity was considered relative to all higher intensities and "other time", more time in light- and vigorous-intensity PA, and less time in sedentary behavior and moderate-intensity PA, were associated with lower waist circumference. Accumulating PA, particularly light-intensity PA, in frequent short bursts may be more beneficial for limiting adiposity compared to accumulating the same amount of PA at these intensities in longer bouts.
Identifiants
pubmed: 33737239
pii: S2095-2546(21)00029-6
doi: 10.1016/j.jshs.2021.03.004
pmc: PMC9068553
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
234-243Informations de copyright
Copyright © 2021. Production and hosting by Elsevier B.V.
Références
Prev Med. 2018 Oct;115:12-18
pubmed: 30081134
Prev Med. 2015 Feb;71:101-6
pubmed: 25535676
Appl Physiol Nutr Metab. 2016 Jun;41(6 Suppl 3):S197-239
pubmed: 27306431
J Sports Sci Med. 2007 Sep 01;6(3):270-6
pubmed: 24149412
Int J Behav Nutr Phys Act. 2017 Jun 10;14(1):75
pubmed: 28599680
Int J Environ Res Public Health. 2020 Mar 26;17(7):
pubmed: 32224966
J Prim Prev. 2018 Jun;39(3):303-327
pubmed: 29705883
Appl Physiol Nutr Metab. 2016 Jun;41(6 Suppl 3):S240-65
pubmed: 27306432
BMJ. 1998 Apr 18;316(7139):1236-8
pubmed: 9553006
PLoS One. 2015 Oct 13;10(10):e0139984
pubmed: 26461112
J Phys Act Health. 2013 Mar;10(3):437-50
pubmed: 23620392
BMC Pediatr. 2020 Apr 2;20(1):147
pubmed: 32241269
Ann Intern Med. 2017 Oct 03;167(7):465-475
pubmed: 28892811
J Sports Sci. 2019 Aug;37(16):1899-1909
pubmed: 31002287
PLoS One. 2018 Aug 16;13(8):e0201947
pubmed: 30114269
Med Sci Sports Exerc. 1995 Jul;27(7):1033-41
pubmed: 7564970
Pediatr Obes. 2016 Jun;11(3):194-201
pubmed: 26097139
Appl Physiol Nutr Metab. 2016 Jun;41(6 Suppl 3):S311-27
pubmed: 27306437
Int J Environ Res Public Health. 2020 Jun 16;17(12):
pubmed: 32560061
Lancet. 2006 Jul 22;368(9532):299-304
pubmed: 16860699
J Sports Sci. 2012;30(13):1429-35
pubmed: 22857599
PLoS One. 2011;6(10):e25733
pubmed: 21998688
Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S523-30
pubmed: 16294115
PLoS One. 2019 Jul 22;14(7):e0220009
pubmed: 31329609
Int J Behav Nutr Phys Act. 2018 Jul 13;15(1):69
pubmed: 30001713
BMC Public Health. 2011 Oct 04;11:759
pubmed: 21970511
Obesity (Silver Spring). 2015 Sep;23(9):1800-10
pubmed: 26308477
Prev Med Rep. 2018 Jul 24;11:254-261
pubmed: 30109170
J Adolesc Health. 2020 Jun;66(6):733-739
pubmed: 31987725
Med Sci Sports Exerc. 2020 Jul;52(7):1502-1510
pubmed: 31977636
Int J Obes (Lond). 2008 Jun;32(6):1028-30
pubmed: 18414423
Am J Epidemiol. 2016 Nov 1;184(9):621-632
pubmed: 27760774
Stat Methods Med Res. 2019 Mar;28(3):846-857
pubmed: 29157152
Int J Behav Nutr Phys Act. 2013 Jun 21;10:81
pubmed: 24456743
Int J Behav Nutr Phys Act. 2020 Nov 26;17(1):141
pubmed: 33239009
Med Sci Sports Exerc. 2018 Mar;50(3):516-524
pubmed: 29166319
J Sports Sci. 2008 Dec;26(14):1557-65
pubmed: 18949660
JAMA. 2018 Nov 20;320(19):2020-2028
pubmed: 30418471
BMC Public Health. 2014 Sep 08;14:933
pubmed: 25200635
Int J Behav Nutr Phys Act. 2011 Apr 09;8:27
pubmed: 21477325