Literature DB >> 26194337

24 h Accelerometry: impact of sleep-screening methods on estimates of sedentary behaviour and physical activity while awake.

Kim Meredith-Jones1, Sheila Williams2, Barbara Galland3, Gavin Kennedy4, Rachael Taylor1.   

Abstract

Although accelerometers can assess sleep and activity over 24 h, sleep data must be removed before physical activity and sedentary time can be examined appropriately. We compared the effect of 6 different sleep-scoring rules on physical activity and sedentary time. Activity and sleep were obtained by accelerometry (ActiGraph GT3X) over 7 days in 291 children (51.3% overweight or obese) aged 4-8.9 years. Three methods removed sleep using individualised time filters and two methods applied standard time filters to remove sleep each day (9 pm-6 am, 12 am-6 am). The final method did not remove sleep but simply defined non-wear as at least 60 min of consecutive zeros over the 24-h period. Different methods of removing sleep from 24-h data markedly affect estimates of sedentary time, yielding values ranging from 556 to 1145 min/day. Estimates of non-wear time (33-193 min), wear time (736-1337 min) and counts per minute (384-658) also showed considerable variation. By contrast, estimates of moderate-to-vigorous activity (MVPA) were similar, varying by less than 1 min/day. Different scoring methods to remove sleep from 24-h accelerometry data do not affect measures of MVPA, whereas estimates of counts per minute and sedentary time depend considerably on which technique is used.

Entities:  

Keywords:  24-h accelerometry; Physical activity; sedentary sleep

Mesh:

Year:  2015        PMID: 26194337     DOI: 10.1080/02640414.2015.1068438

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


  22 in total

1.  Objective sleep and physical activity using 24-hour ankle-worn accelerometry among toddlers from low-income families.

Authors:  Bridget Armstrong; Lauren B Covington; Erin R Hager; Maureen M Black
Journal:  Sleep Health       Date:  2019-06-03

Review 2.  How consumer physical activity monitors could transform human physiology research.

Authors:  Stephen P Wright; Tyish S Hall Brown; Scott R Collier; Kathryn Sandberg
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2017-01-04       Impact factor: 3.619

3.  The effect of increasing risk and challenge in the school playground on physical activity and weight in children: a cluster randomised controlled trial (PLAY).

Authors:  V L Farmer; S M Williams; J I Mann; G Schofield; J C McPhee; R W Taylor
Journal:  Int J Obes (Lond)       Date:  2017-02-10       Impact factor: 5.095

4.  Cognitive Performance, Quality and Quantity of Movement Reflect Psychological Symptoms in Adolescents.

Authors:  Maedeh Mansoubi; Benjamin David Weedon; Patrick Esser; Nancy Mayo; Mina Fazel; Will Wade; Tomas E Ward; Steve Kemp; Anne Delextrat; Helen Dawes
Journal:  J Sports Sci Med       Date:  2020-05-01       Impact factor: 2.988

5.  CHAMP: A cluster randomized-control trial to prevent obesity in child care centers.

Authors:  Bridget Armstrong; Angela C B Trude; Candace Johnson; Romulus J Castelo; Amy Zemanick; Sophie Haber-Sage; Raquel Arbaiza; Maureen M Black
Journal:  Contemp Clin Trials       Date:  2019-09-13       Impact factor: 2.226

6.  Comparing the activPAL software's Primary Time in Bed Algorithm against Self-Report and van der Berg's Algorithm.

Authors:  J B Courtney; K Nuss; K Lyden; K K Harrall; D H Glueck; A Villalobos; R F Hamman; J R Hebert; T G Hurley; J Leiferman; K Li; K Alaimo; J S Litt
Journal:  Meas Phys Educ Exerc Sci       Date:  2020-12-28

7.  The MiaoMiao study: can do-it-yourself continuous glucose monitoring technology improve fear of hypoglycaemia in parents of children affected by type 1 diabetes?

Authors:  Mona Elbalshy; Sara Boucher; Barbara Galland; Jillian J Haszard; Hamish Crocket; Esko Wiltshire; Craig Jefferies; Martin I de Bock; Paul Tomlinson; Shirley Jones; Benjamin J Wheeler
Journal:  J Diabetes Metab Disord       Date:  2020-10-30

8.  Investigating the moderators and mediators of an effective sleep intervention in the Prevention of Overweight in Infancy (POI) randomized controlled trial: Exploratory analyses.

Authors:  Louise Fangupo; Jillian Haszard; Barbara Galland; Barry Taylor; Anne-Louise Heath; Dione Healey; Kim Meredith-Jones; Rachel Sayers; Burt Hatch; Rachael Taylor
Journal:  Clin Obes       Date:  2022-03-16

Review 9.  Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations.

Authors:  Jairo H Migueles; Cristina Cadenas-Sanchez; Ulf Ekelund; Christine Delisle Nyström; Jose Mora-Gonzalez; Marie Löf; Idoia Labayen; Jonatan R Ruiz; Francisco B Ortega
Journal:  Sports Med       Date:  2017-09       Impact factor: 11.136

10.  Is achieving 7,000 steps/day cross-sectionally and prospectively associated with older adults' lower-extremity performance?

Authors:  Ming-Chun Hsueh; Chien-Yu Lin; Ting-Fu Lai; Yi-Chien Yu; Shao-Hsi Chang; Ju Yong Bae; Yung Liao
Journal:  BMC Geriatr       Date:  2021-06-12       Impact factor: 3.921

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