Literature DB >> 25078528

Direct observation is a valid criterion for estimating physical activity and sedentary behavior.

Kate Lyden1, Natalia Petruski, John Staudenmayer, Patty Freedson.   

Abstract

BACKGROUND: Physical activity and sedentary behavior measurement tools need to be validated in free-living settings. Direct observation (DO) may be an appropriate criterion for these studies. However, it is not known if trained observers can correctly judge the absolute intensity of free-living activities.
PURPOSE: To compare DO estimates of total MET-hours and time in activity intensity categories to a criterion measure from indirect calorimetry (IC).
METHODS: Fifteen participants were directly observed on three separate days for two hours each day. During this time participants wore an Oxycon Mobile indirect calorimeter and performed any activity of their choice within the reception area of the wireless metabolic equipment. Participants were provided with a desk for sedentary activities (writing, reading, computer use) and had access to exercise equipment (treadmill, bike).
RESULTS: DO accurately and precisely estimated MET-hours [% bias (95% CI) = -12.7% (-16.4, -7.3), ICC = 0.98], time in low intensity activity [% bias (95% CI) = 2.1% (1.1, 3.2), ICC = 1.00] and time in moderate to vigorous intensity activity [% bias (95% CI) -4.9% (-7.4, -2.5), ICC = 1.00].
CONCLUSION: This study provides evidence that DO can be used as a criterion measure of absolute intensity in free-living validation studies.

Entities:  

Mesh:

Year:  2014        PMID: 25078528     DOI: 10.1123/jpah.2012-0290

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


  7 in total

1.  Ordinal Statistical Models of Physical Activity Levels from Accelerometer Data.

Authors:  Shafayet S Hossain; Drew M Lazar; Munni Begum
Journal:  Int J Exerc Sci       Date:  2021-04-01

2.  Demographic-specific Validity of the Cancer Prevention Study-3 Sedentary Time Survey.

Authors:  Erika Rees-Punia; Charles E Matthews; Ellen M Evans; Sarah K Keadle; Rebecca L Anderson; Jennifer L Gay; Michael D Schmidt; Susan M Gapstur; Alpa V Patel
Journal:  Med Sci Sports Exerc       Date:  2019-01       Impact factor: 5.411

3.  SenseWearMini and Actigraph GT3X Accelerometer Classification of Observed Sedentary and Light-Intensity Physical Activities in a Laboratory Setting.

Authors:  Lynne M Feehan; Charles H Goldsmith; April Y F Leung; Linda C Li
Journal:  Physiother Can       Date:  2016       Impact factor: 1.037

4.  Methods to estimate aspects of physical activity and sedentary behavior from high-frequency wrist accelerometer measurements.

Authors:  John Staudenmayer; Shai He; Amanda Hickey; Jeffer Sasaki; Patty Freedson
Journal:  J Appl Physiol (1985)       Date:  2015-06-25

5.  The activPALTM Accurately Classifies Activity Intensity Categories in Healthy Adults.

Authors:  Kate Lyden; Sarah Kozey Keadle; John Staudenmayer; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2017-05       Impact factor: 5.411

6.  Reliability and validity of a new accelerometer-based device for detecting physical activities and energy expenditure.

Authors:  Yanxiang Yang; Moritz Schumann; Shenglong Le; Shulin Cheng
Journal:  PeerJ       Date:  2018-10-11       Impact factor: 2.984

7.  Validation of a previous day recall for measuring the location and purpose of active and sedentary behaviors compared to direct observation.

Authors:  Sarah Kozey Keadle; Kate Lyden; Amanda Hickey; Evan L Ray; Jay H Fowke; Patty S Freedson; Charles E Matthews
Journal:  Int J Behav Nutr Phys Act       Date:  2014-02-03       Impact factor: 6.457

  7 in total

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