Literature DB >> 21734315

U.S. population profile of time-stamped accelerometer outputs: impact of wear time.

Catrine Tudor-Locke1, William D Johnson, Peter T Katzmarzyk.   

Abstract

BACKGROUND: We examined the effects of wear time on a population profile of time-stamped accelerometer outputs using the 2005-2006 National Health and Nutrition Examination Survey (NHANES) data representing 3744 adults ≥ 20 years of age.
METHODS: Outputs included activity counts, steps, and time variables: nonwear (macro-determined), sedentary behavior (<100 activity counts/minute), and time in low (100-499 activity counts/minute), light (500-2019 activity counts/minute), and moderate-to-vigorous physical activity (MVPA; ≥2020 activity counts/minute) intensities. We describe mean values according to a 24-hour clock. Analysis was repeated in a reduced data set with only those who wore the accelerometer for 60 minutes within each considered hour of the day.
RESULTS: Between 12:00 and 17:00, U.S. adults spend approximately 31 minutes each hour in sedentary behaviors, and approximately 14 minutes, 10 minutes, and 2 minutes in low, light, and MVPA intensity activity, respectively. Removing the effect of nonwear time, sedentary behaviors are reduced in the morning hours and increase in the evening hours.
CONCLUSION: At either end of the day, nonwear time appears to distort population estimates of all accelerometer time and physical activity volume indicators, but its effects are particularly clear on population estimates of time spent in sedentary behavior.

Mesh:

Year:  2011        PMID: 21734315     DOI: 10.1123/jpah.8.5.693

Source DB:  PubMed          Journal:  J Phys Act Health        ISSN: 1543-3080


  25 in total

1.  Towards uniform accelerometry analysis: a standardization methodology to minimize measurement bias due to systematic accelerometer wear-time variation.

Authors:  Tarun R Katapally; Nazeem Muhajarine
Journal:  J Sports Sci Med       Date:  2014-05-01       Impact factor: 2.988

2.  TV time, physical activity, sedentary behaviour and cardiometabolic biomarkers in pregnancy-NHANES 2003-2006.

Authors:  Brittany A Matenchuk; Valerie Carson; Laurel A Riske; Allison Carnio; Margie H Davenport
Journal:  Can J Public Health       Date:  2022-05-19

3.  Step-Based Physical Activity Metrics and Cardiometabolic Risk: NHANES 2005-2006.

Authors:  Catrine Tudor-Locke; John M Schuna; H O Han; Elroy J Aguiar; Michael A Green; Michael A Busa; Sandra Larrivee; William D Johnson
Journal:  Med Sci Sports Exerc       Date:  2017-02       Impact factor: 5.411

4.  Dose-dependent association of accelerometer-measured physical activity and sedentary time with brain perfusion in aging.

Authors:  Zvinka Z Zlatar; Chelsea C Hays; Zoe Mestre; Laura M Campbell; M J Meloy; Katherine J Bangen; Thomas T Liu; Jacqueline Kerr; Christina E Wierenga
Journal:  Exp Gerontol       Date:  2019-08-02       Impact factor: 4.032

5.  Longitudinal patterns of physical activity in children aged 8 to 12 years: the LOOK study.

Authors:  Rohan M Telford; Richard D Telford; Ross B Cunningham; Thomas Cochrane; Rachel Davey; Gordon Waddington
Journal:  Int J Behav Nutr Phys Act       Date:  2013-06-21       Impact factor: 6.457

6.  A catalog of rules, variables, and definitions applied to accelerometer data in the National Health and Nutrition Examination Survey, 2003-2006.

Authors:  Catrine Tudor-Locke; Sarah M Camhi; Richard P Troiano
Journal:  Prev Chronic Dis       Date:  2012-06-14       Impact factor: 2.830

7.  Volume, patterns, and types of sedentary behavior and cardio-metabolic health in children and adolescents: a cross-sectional study.

Authors:  Valerie Carson; Ian Janssen
Journal:  BMC Public Health       Date:  2011-05-04       Impact factor: 3.295

8.  Comparison of estimated energy intake from 2×24-hour recalls and a seven-day food record with objective measurements of energy expenditure in children.

Authors:  Berit W Rothausen; Jeppe Matthiessen; Margit V Groth; Per B Brockhoff; Lene F Andersen; Ellen Trolle
Journal:  Food Nutr Res       Date:  2012-02-15       Impact factor: 3.894

9.  Longitudinal changes in sedentary time and physical activity during adolescence.

Authors:  Sarah K Harding; Angie S Page; Catherine Falconer; Ashley R Cooper
Journal:  Int J Behav Nutr Phys Act       Date:  2015-04-01       Impact factor: 6.457

10.  The association between accelerometer-measured patterns of sedentary time and health risk in children and youth: results from the Canadian Health Measures Survey.

Authors:  Rachel C Colley; Didier Garriguet; Ian Janssen; Suzy L Wong; Travis J Saunders; Valerie Carson; Mark S Tremblay
Journal:  BMC Public Health       Date:  2013-03-07       Impact factor: 3.295

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