Literature DB >> 25910051

Criterion Validity of Competing Accelerometry-Based Activity Monitoring Devices.

Youngwon Kim1, Gregory J Welk.   

Abstract

PURPOSE: The purpose of this study was to examine the comparative and criterion validity of the three activity monitors in relation to a portable metabolic analyzer (Oxycon Mobile (OM)) in adults.
METHODS: A total of 52 adults age 18-40 yr each performed a series of 15 activities for 5 min each, with 1-min resting intervals between different activities. Participants completed the trials while wearing the three activity monitors and while being measured with the OM. Estimates of energy expenditure (EE) were obtained from the ActiGraph (one based on the vertical axis and the other from vector magnitude) as well as from the activPAL (AP) and the Core Armband (CA). The EE estimates were converted into MET(RMR) values by standardizing EE values with each person's resting metabolic rate and then temporarily matched to facilitate minute-by-minute comparisons. Equivalence testing and mean absolute percent errors (MAPE) were used to evaluate the agreement.
RESULTS: MET(RMR) values from the CA were significantly equivalent to those from the OM for the overall group comparison (90% confidence interval (CI), 3.65 and 3.85 MET(RMR)) and vigorous intensity (90% CI, 8.27 and 10.10 MET(RMR)). The CA had the smallest MAPE for moderate (20.7%) and vigorous (14.5%) intensity, but the AP had smaller MAPE for sedentary activities (27.4%) and light (24.7%) intensity activities.
CONCLUSIONS: The CA showed good agreement relative to the OM for the overall group comparison and for moderate and vigorous activities. The AP, in contrast, was the most accurate for sedentary and light activities. The combined use of the CA and AP may yield more accurate estimates of EE than using a single monitor.

Entities:  

Mesh:

Year:  2015        PMID: 25910051     DOI: 10.1249/MSS.0000000000000691

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  12 in total

1.  A Primer on the Use of Equivalence Testing for Evaluating Measurement Agreement.

Authors:  Philip M Dixon; Pedro F Saint-Maurice; Youngwon Kim; Paul Hibbing; Yang Bai; Gregory J Welk
Journal:  Med Sci Sports Exerc       Date:  2018-04       Impact factor: 5.411

Review 2.  The Wild Wild West: A Framework to Integrate mHealth Software Applications and Wearables to Support Physical Activity Assessment, Counseling and Interventions for Cardiovascular Disease Risk Reduction.

Authors:  Felipe Lobelo; Heval M Kelli; Sheri Chernetsky Tejedor; Michael Pratt; Michael V McConnell; Seth S Martin; Gregory J Welk
Journal:  Prog Cardiovasc Dis       Date:  2016-02-26       Impact factor: 8.194

3.  Calibration of Self-Report Measures of Physical Activity and Sedentary Behavior.

Authors:  Gregory J Welk; Nicholas K Beyler; Youngwon Kim; Charles E Matthews
Journal:  Med Sci Sports Exerc       Date:  2017-07       Impact factor: 5.411

4.  Accuracy of inclinometer functions of the activPAL and ActiGraph GT3X+: A focus on physical activity.

Authors:  Hyun-Sung An; Youngwon Kim; Jung-Min Lee
Journal:  Gait Posture       Date:  2016-10-18       Impact factor: 2.840

5.  Objectively measured sedentary behavior and physical activity in a sample of Finnish adults: a cross-sectional study.

Authors:  Pauliina Husu; Jaana Suni; Henri Vähä-Ypyä; Harri Sievänen; Kari Tokola; Heli Valkeinen; Tomi Mäki-Opas; Tommi Vasankari
Journal:  BMC Public Health       Date:  2016-09-01       Impact factor: 3.295

6.  A novel integrative procedure for identifying and integrating three-dimensions of objectively measured free-living sedentary behaviour.

Authors:  Anna Myers; Catherine Gibbons; Edward Butler; Michelle Dalton; Nicola Buckland; John Blundell; Graham Finlayson
Journal:  BMC Public Health       Date:  2017-12-28       Impact factor: 3.295

7.  Measurement of sedentary time and physical activity in rheumatoid arthritis: an ActiGraph and activPAL™ validation study.

Authors:  Ciara M O'Brien; Joan L Duda; George D Kitas; Jet J C S Veldhuijzen van Zanten; George S Metsios; Sally A M Fenton
Journal:  Rheumatol Int       Date:  2020-05-29       Impact factor: 2.631

8.  Simultaneous Validation of Seven Physical Activity Questionnaires Used in Japanese Cohorts for Estimating Energy Expenditure: A Doubly Labeled Water Study.

Authors:  Hiroyuki Sasai; Yoshio Nakata; Haruka Murakami; Ryoko Kawakami; Satoshi Nakae; Shigeho Tanaka; Kazuko Ishikawa-Takata; Yosuke Yamada; Motohiko Miyachi
Journal:  J Epidemiol       Date:  2018-04-28       Impact factor: 3.211

9.  Concurrent validity of the Fitbit for assessing sedentary behavior and moderate-to-vigorous physical activity.

Authors:  Nicklaus Redenius; Youngwon Kim; Wonwoo Byun
Journal:  BMC Med Res Methodol       Date:  2019-02-07       Impact factor: 4.615

10.  Breaking sitting with light activities vs structured exercise: a randomised crossover study demonstrating benefits for glycaemic control and insulin sensitivity in type 2 diabetes.

Authors:  Bernard M F M Duvivier; Nicolaas C Schaper; Matthijs K C Hesselink; Linh van Kan; Nathalie Stienen; Bjorn Winkens; Annemarie Koster; Hans H C M Savelberg
Journal:  Diabetologia       Date:  2016-11-30       Impact factor: 10.122

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