Literature DB >> 30548545

Comparability of published cut-points for the assessment of physical activity: Implications for data harmonization.

Jairo H Migueles1, Cristina Cadenas-Sanchez1, Catrine Tudor-Locke2, Marie Löf3,4, Irene Esteban-Cornejo1,5, Pablo Molina-Garcia1,6, Jose Mora-Gonzalez1, Maria Rodriguez-Ayllon1, Eduardo Garcia-Marmol1, Ulf Ekelund7, Francisco B Ortega1,3.   

Abstract

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.
© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  activity monitor; adolescent; exercise; lifestyle behaviors; sedentary lifestyle; youth

Mesh:

Year:  2019        PMID: 30548545     DOI: 10.1111/sms.13356

Source DB:  PubMed          Journal:  Scand J Med Sci Sports        ISSN: 0905-7188            Impact factor:   4.221


  28 in total

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3.  The effects of experimentally manipulated social status and subjective social status on physical activity among Hispanic adolescents: An RCT.

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4.  Differences between accelerometer cut point methods among midlife women with cardiovascular risk markers.

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5.  The independent and interactive associations of physical activity intensity and vitamin D status with bone mineral density in prepubertal children: the PANIC Study.

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6.  Validity of traditional physical activity intensity calibration methods and the feasibility of self-paced walking and running on individualised calibration of physical activity intensity in children.

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Journal:  Sci Rep       Date:  2020-07-03       Impact factor: 4.379

7.  Multi-level validation of the German physical activity self-efficacy scale in a sample of female sixth-graders.

Authors:  Joachim Bachner; David J Sturm; Stephan Haug; Yolanda Demetriou
Journal:  BMC Public Health       Date:  2020-06-22       Impact factor: 3.295

8.  The Positive Relationship between Moderate-to-Vigorous Physical Activity and Bone Mineral Content Is Not Mediated by Free Leptin Index in Prepubertal Children: The PANIC Study.

Authors:  Annie M Constable; Josie E Porter; Danielle Benger; Dimitris Vlachopoulos; Alan R Barker; Sarah A Moore; Sonja Soininen; Eero A Haapala; Kate Westgate; Soren Brage; Ricardo R Agostinete; Romulo A Fernandes; Timo A Lakka
Journal:  Int J Environ Res Public Health       Date:  2021-05-18       Impact factor: 3.390

9.  Associations of fitness, motor competence, and adiposity with the indicators of physical activity intensity during different physical activities in children.

Authors:  Eero A Haapala; Ying Gao; Jani Hartikainen; Timo Rantalainen; Taija Finni
Journal:  Sci Rep       Date:  2021-06-15       Impact factor: 4.379

10.  Validity, reliability, and calibration of the physical activity unit 7 item screener (PAU-7S) at population scale.

Authors:  Helmut Schröder; Isaac Subirana; Julia Wärnberg; María Medrano; Marcela González-Gross; Narcis Gusi; Susana Aznar; Pedro E Alcaraz; Miguel A González-Valeiro; Lluis Serra-Majem; Nicolás Terrados; Josep A Tur; Marta Segú; Clara Homs; Alicia Garcia-Álvarez; Juan C Benavente-Marín; F Javier Barón-López; Idoia Labayen; Augusto G Zapico; Jesús Sánchez-Gómez; Fabio Jiménez-Zazo; Elena Marín-Cascales; Marta Sevilla-Sanchez; Estefanía Herrera-Ramos; Susana Pulgar; María Del Mar Bibiloni; Clara Sistac-Sorigué; Santiago F Gómez
Journal:  Int J Behav Nutr Phys Act       Date:  2021-07-17       Impact factor: 6.457

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