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Comparability of published cut-points for the assessment of physical activity: Implications for data harmonization
Univ Granada, Spain.
Univ Granada, Spain.
Univ Massachusetts, MA 01003 USA.
Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Karolinska Inst, Sweden.ORCID iD: 0000-0002-2273-4430
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2019 (English)In: Scandinavian Journal of Medicine and Science in Sports, ISSN 0905-7188, E-ISSN 1600-0838, Vol. 29, no 4, p. 566-574Article in journal (Refereed) Published
Abstract [en]

This study aimed to compare estimations of sedentary time (SED) and time spent in physical activity (PA) intensities in children with overweight/obesity across different age-appropriate cut-points based on different body-worn attachment sites and acceleration metrics. A total of 104 overweight/obese children (10.1 +/- 1.1 years old, 43 girls) concurrently wore ActiGraph GT3X+ accelerometers on their right hip and non-dominant wrist for 7 days (24 hours). Euclidean norm -1 g (ENMO) and activity counts from both vertical axis (VACounts) and vector magnitude (VMCounts) were derived. We calculated estimates of SED and light, moderate, vigorous, and moderate-to-vigorous (MVPA) intensity PA using different published cut-points for children. The prevalence of children meeting the recommended 60 min/d of MVPA was calculated. The time spent in SED and the different PA intensities largely differed across cut-points based on different attachment sites and acceleration metrics (ie, SED = 11-252 min/d; light PA = 10-217 min/d; moderate PA = 1-48 min/d; vigorous PA = 1-35 min/d; MVPA = 4-66 min/d). Consequently, the prevalence of children meeting the recommended 60 min/d of MVPA varied from 8% to 96% of the study sample. The present study provides a comprehensive comparison between available cut-points for different attachment and acceleration metrics in children. Furthermore, our data clearly show that it is not possible (and probably will never be) to know the prevalence of meeting the PA guidelines based on accelerometer data since apparent differences range from almost zero to nearly everyone meeting the guidelines.

Place, publisher, year, edition, pages
WILEY , 2019. Vol. 29, no 4, p. 566-574
Keywords [en]
activity monitor; adolescent; exercise; lifestyle behaviors; sedentary lifestyle; youth
National Category
Sport and Fitness Sciences
Identifiers
URN: urn:nbn:se:liu:diva-155928DOI: 10.1111/sms.13356ISI: 000460975000008PubMedID: 30548545OAI: oai:DiVA.org:liu-155928DiVA, id: diva2:1301306
Note

Funding Agencies|EXERNET Research Network on Exercise and Health in Special Populations [DEP2005-00046/ACTI]; ISCIII-Sub-Directorate General for Research Assessment and Promotion, the European Regional Development Fund [RD16/0022]; Ministerio de Economia y Competitividad [BES-2014-068829, DEP2013-47540]; Universidad de Granada, Plan Propio de Investigacion 2016, Excellence actions: Units of Excellence; Scientific Excellence Unit on Exercise and Health (UCEES); European Unions 2020 [667302]; Ministerio de Ciencia e Innovacion [RYC-2011-09011]; Ministerio de Educacion, Cultura y Deporte [FPU14/06837, FPU15/02645]; Norges Forskningsrad [249932/F20]; FEDER [DEP2013-47540]; SAMID III network, RETICS [I + D+I 2017-2021]; Alicia Koplowitz Foundation

Available from: 2019-04-01 Created: 2019-04-01 Last updated: 2019-06-28

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