Literature DB >> 31593604

Cut-point-free accelerometer metrics to assess children's physical activity: An example using the school day.

Stuart J Fairclough1, Alex V Rowlands2,3,4, Sarah Taylor5, Lynne M Boddy6.   

Abstract

The aims were to (a) investigate associations between a novel accelerometer metric: the minimum acceleration value above which the most active 30-minutes were accumulated during the school day (M30ACC ), and health indicators, and (b) demonstrate that applying an equivalent cut-point to the M30ACC metric gives comparable prevalence results as a moderate-to-vigorous physical activity (MVPA) cut-point approach. Two hundred and ninety-six children (age 9-10-years) wore wrist-mounted accelerometers for 7-days. School day MVPA and M30ACC were calculated. Body mass index (BMI), waist-to-height ratio (WHtR), and cardiorespiratory fitness (CRF) were also measured. Mixed linear models investigated associations between M30ACC and health indicators. Agreement between ranked MVPA and M30ACC values was assessed using percent agreement, kappa, sensitivity, and specificity statistics. M30ACC thresholds associated with health indicators were 213 mg (BMI), 206 mg (WHtR), and 269 mg (CRF) for girls. The equivalent values for boys were 234 mg (BMI), 230 mg (WHtR), and 327 mg (CRF). Less than half of girls and 75% of boys accumulated 30 minutes of school day MVPA. Just <50% of girls and >80% of boys had M30ACC values ≥200 mg, which is equivalent to brisk walking. Agreement between MVPA and M30ACC tertiles was high, reflected by the sensitivity and specificity values of >90%. Results demonstrate the utility of M30ACC as a PA metric that is not heavily influenced by researcher decisions. M30ACC has potential as an accelerometer-specific metric for generating PA guidelines related to health indicators and easily understood forms of activity such as brisk walking.
© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  acceleration; accelerometer; children; cut-points; guidelines; physical activity; school

Mesh:

Year:  2019        PMID: 31593604     DOI: 10.1111/sms.13565

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


  4 in total

1.  Enhancing the value of accelerometer-assessed physical activity: meaningful visual comparisons of data-driven translational accelerometer metrics.

Authors:  Alex V Rowlands; Nathan P Dawkins; Ben Maylor; Charlotte L Edwardson; Stuart J Fairclough; Melanie J Davies; Deirdre M Harrington; Kamlesh Khunti; Tom Yates
Journal:  Sports Med Open       Date:  2019-12-05

2.  Effect of Linear and Nonlinear Pedagogy Physical Education Interventions on Children's Physical Activity: A Cluster Randomized Controlled Trial (SAMPLE-PE).

Authors:  Matteo Crotti; James R Rudd; Simon Roberts; Lynne M Boddy; Katie Fitton Davies; Laura O'Callaghan; Till Utesch; Lawrence Foweather
Journal:  Children (Basel)       Date:  2021-01-15

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

  4 in total

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