Literature DB >> 31156048

Average acceleration and intensity gradient of primary school children and associations with indicators of health and well-being.

Stuart J Fairclough1, Sarah Taylor2, Alex V Rowlands3,4,5, Lynne M Boddy6, Robert J Noonan7.   

Abstract

Average acceleration (AvAcc) and intensity gradient (IG) have been proposed as standardised metrics describing physical activity (PA) volume and intensity, respectively. We examined hypothesised between-group PA differences in AvAcc and IG, and their associations with health and well-being indicators in children. ActiGraph GT9X wrist accelerometers were worn for 24-h·d-1 over 7days by 145 children aged 9-10. Raw accelerations were averaged per 5-s epoch to represent AvAcc over 24-h. IG represented the relationship between log values for intensity and time. Moderate-to-vigorous PA (MVPA) was estimated using youth cutpoints. BMI z-scores, waist-to-height ratio (WHtR), peak oxygen uptake (VO2peak), Metabolic Syndrome risk (MetS score), and well-being were assessed cross-sectionally, and 8-weeks later. Hypothesised between-group differences were consistently observed for IG only (p < .001). AvAcc was strongly correlated with MVPA (r = 0.96), while moderate correlations were observed between IG and MVPA (r = 0.50) and AvAcc (r = 0.54). IG was significantly associated with health indicators, independent of AvAcc (p < .001). AvAcc was associated with well-being, independent of IG (p < .05). IG was significantly associated with WHtR (p < .01) and MetS score (p < .05) at 8-weeks follow-up. IG is sensitive as a gauge of PA intensity that is independent of total PA volume, and which relates to important health indicators in children.

Entities:  

Keywords:  GGIR; Physical activity; raw accelerations; standardised metrics; wrist; youth

Mesh:

Substances:

Year:  2019        PMID: 31156048     DOI: 10.1080/02640414.2019.1624313

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


  9 in total

1.  A Web-Based, Time-Use App To Assess Children's Movement Behaviors: Validation Study of My E-Diary for Activities and Lifestyle (MEDAL).

Authors:  Sarah Yi Xuan Tan; Airu Chia; Bee Choo Tai; Padmapriya Natarajan; Claire Marie Jie Lin Goh; Lynette P Shek; Seang Mei Saw; Mary Foong-Fong Chong; Falk Müller-Riemenschneider
Journal:  JMIR Pediatr Parent       Date:  2022-06-24

2.  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

3.  Step-Based Metrics and Overall Physical Activity in Children With Overweight or Obesity: Cross-Sectional Study.

Authors:  Jairo H Migueles; Cristina Cadenas-Sanchez; Elroy J Aguiar; Pablo Molina-Garcia; Patricio Solis-Urra; Jose Mora-Gonzalez; Eduardo García-Mármol; Eric J Shiroma; Idoia Labayen; Palma Chillón; Marie Löf; Catrine Tudor-Locke; Francisco B Ortega
Journal:  JMIR Mhealth Uhealth       Date:  2020-04-28       Impact factor: 4.773

4.  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

Review 5.  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

6.  GRANADA consensus on analytical approaches to assess associations with accelerometer-determined physical behaviours (physical activity, sedentary behaviour and sleep) in epidemiological studies.

Authors:  Jairo H Migueles; Eivind Aadland; Lars Bo Andersen; Jan Christian Brønd; Sebastien F Chastin; Bjørge H Hansen; Kenn Konstabel; Olav Martin Kvalheim; Duncan E McGregor; Alex V Rowlands; Séverine Sabia; Vincent T van Hees; Rosemary Walmsley; Francisco B Ortega
Journal:  Br J Sports Med       Date:  2021-04-12       Impact factor: 18.473

7.  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 8.  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

9.  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

  9 in total

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