Literature DB >> 31506039

The use of the intensity gradient and average acceleration metrics to explore associations with BMI z-score in children.

Duncan S Buchan1, Gillian McLellan1, Samantha Donnelly1, Rosie Arthur1.   

Abstract

This study used the intensity gradient (IG) and average acceleration metrics to describe children's activity profiles and explore associations with body mass index (BMI) z-score. Two hundred and forty-six children (n = 138 girls) aged 9.6 ± 1.4 years wore a wrist-mounted ActiGraph wGT3X-BT accelerometer for 7 days on their non-dominant wrist. Physical activity (PA) metrics captured included: the IG which describes the intensity distribution of accelerations across the 24 h monitoring period; average acceleration which provides a measure of the volume of activity; total moderate-to-vigorous PA (MVPA) and inactive time. Acceleration was averaged over 5s epochs. Finally, BMI z-score was calculated for each participant. Average acceleration was negatively associated with BMI z-score (p < 0.05) independent of age and gender but not IG. The IG was negatively associated with BMI z-score independent of potential correlates and average acceleration. Total MVPA was not associated with BMI-z score. The IG and average acceleration metrics may be used to explore the independent or cumulative effects of the volume and intensity distribution of activity upon measures of health and well-being in children to inform specific activity recommendations.

Entities:  

Keywords:  ActiGraph; accelerometer; activity metrics; raw acceleration; wrist-worn

Mesh:

Year:  2019        PMID: 31506039     DOI: 10.1080/02640414.2019.1664536

Source DB:  PubMed          Journal:  J Sports Sci        ISSN: 0264-0414            Impact factor:   3.337


  5 in total

1.  Advanced analytical methods to assess physical activity behaviour using accelerometer raw time series data: a protocol for a scoping review.

Authors:  Tripti Rastogi; Anne Backes; Susanne Schmitz; Guy Fagherazzi; Vincent van Hees; Laurent Malisoux
Journal:  Syst Rev       Date:  2020-11-07

Review 2.  The Impact of Wearable Technologies in Health Research: Scoping Review.

Authors:  Sophie Huhn; Miriam Axt; Hanns-Christian Gunga; Martina Anna Maggioni; Stephen Munga; David Obor; Ali Sié; Valentin Boudo; Aditi Bunker; Rainer Sauerborn; Till Bärnighausen; Sandra Barteit
Journal:  JMIR Mhealth Uhealth       Date:  2022-01-25       Impact factor: 4.773

3.  Associations of novel 24-h accelerometer-derived metrics with adiposity in children and adolescents.

Authors:  Jan Dygrýn; María Medrano; Pablo Molina-Garcia; Lukáš Rubín; Lukáš Jakubec; David Janda; Aleš Gába
Journal:  Environ Health Prev Med       Date:  2021-06-12       Impact factor: 3.674

Review 4.  Advanced analytical methods to assess physical activity behavior using accelerometer time series: A scoping review.

Authors:  Anne Backes; Tripti Gupta; Susanne Schmitz; Guy Fagherazzi; Vincent van Hees; Laurent Malisoux
Journal:  Scand J Med Sci Sports       Date:  2021-11-01       Impact factor: 4.645

5.  Physical fitness, physical activity and adiposity: associations with risk factors for cardiometabolic disease and cognitive function across adolescence.

Authors:  Ryan A Williams; Simon B Cooper; Karah J Dring; Lorna Hatch; John G Morris; Feng-Hua Sun; Mary E Nevill
Journal:  BMC Pediatr       Date:  2022-02-02       Impact factor: 2.125

  5 in total

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