Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 May;10(3):368-378.
doi: 10.1016/j.jshs.2019.06.006. Epub 2019 Jun 18.

Which intensities, types, and patterns of movement behaviors are most strongly associated with cardiometabolic risk factors among children?

Laura K Callender  1 , Michael M Borghese  1 , Ian Janssen  2
Affiliations

Which intensities, types, and patterns of movement behaviors are most strongly associated with cardiometabolic risk factors among children?

Laura K Callender et al. J Sport Health Sci. 2021 May.

Abstract

Purpose: The purpose of this study was to determine which intensities, patterns, and types of 24-h movement behaviors are most strongly associated with cardiometabolic risk factors among children.

Methods: A total of 369 children aged 10-13 years were studied. Participants wore an Actical accelerometer and a Garmin Forerunner 220 Global Positioning System logger and completed an activity and sleep log for 7 days. Data from these instruments were combined to estimate average minute per day spent in 14 intensities, 11 types, and 14 patterns of movement. Body mass index, resting heart rate, and systolic blood pressure values were combined to create a cardiometabolic risk factor score. Partial least squares regression analysis was used to examine associations between the 39 movement behavior characteristics and the cardiometabolic risk factor score. The variable importance in projection (VIP) values were used to determine and rank important movement behavior characteristics. There was evidence of interaction by biological maturity, and the analyses were conducted separately in the 50% least mature and 50% most mature participants.

Results: For the least biologically mature participants, fifteen of the 39 movement behavior characteristics had important VIP value scores; eight of these reflected movement intensities (particularly moderate and vigorous intensities), six reflected movement patterns, and one reflected a movement type. For the most mature participants, thirteen of the 39 movement behavior characteristics had important VIP value scores, with five reflecting intensities (particularly moderate and vigorous intensities), five reflecting patterns, and three reflecting types of movement.

Conclusion: More than 12 movement behavior characteristics were associated with cardiometabolic risk factors within both the most and least mature participants. Movement intensities within the moderate and vigorous intensity ranges were the most consistent correlates of these risk factors.

Keywords: Child; Physical activity; Risk factors; Sedentary behavior; Sleep.

PubMed Disclaimer

Conflict of interest statement

Competing interests The authors declare that they have no competing interests.

Figures

Image, graphical abstract
Graphical abstract
Fig 1
Fig. 1
Fifteen movement behavior characteristics with important VIP values for the least mature participants. The 15 characteristics are presented from left to right in order of importance based on a ranking of the VIP values. The “+” and “–” signs on top of each bar indicate the direction of the association. MVPA = moderate-to-vigorous physical activity; PA = physical activity; SED = sedentary; VIP = variables of importance in projection.
Fig 2
Fig. 2
Thirteen movement behavior characteristics with important VIP values for the most mature participants. The 13 characteristics are presented from left to right in order of importance based on a ranking of the VIP values. The “+” and “–” signs on top of each bar indicate the direction of the association. MVPA = moderate-to-vigorous physical activity; PA = physical activity; SED = sedentary; TV = television; VIP = variables of importance in projection.
See this image and copyright information in PMC

References

    1. Chastin S.F., Palarea-Albaladejo J., Dontje M.L., Skelton D.A. Combined effects of time spent in physical activity, sedentary behaviors and sleep on obesity and cardio-metabolic health markers: A novel compositional data analysis approach. PLoS One. 2015;10 doi: 10.1371/journal.pone.0139984. - DOI - PMC - PubMed
    1. Pedišić Z., Dumuid D., Olds T.S. Integrating sleep, sedentary behaviour, and physical activity research in the emerging field of time-use epidemiology: Definitions, concepts, statistical methods, theoretical frameworks, and future directions. Kinesiology. 2017;49:1–18.
    1. Carson V., Hunter S., Kuzik N. Systematic review of sedentary behaviour and health indicators in school-aged children and youth: An update. Appl Physiol Nutr Metab. 2016;41(Suppl. 3):S240–S265. - PubMed
    1. Chaput J.P., Gray C., Poitras V. Systematic review of the relationships between sleep duration and health indicators in school-aged children and youth. Appl Physiol Nutr Metab. 2016;41(Suppl. 3):S266–S282. - PubMed
    1. Poitras V.J., Gray C.E., Borghese M.M. Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth. Appl Physiol Nutr Metab. 2016;41(Suppl. 3):S197–S239. - PubMed

Publication types

LinkOut - more resources