Literature DB >> 22157776

Statistical considerations in the analysis of accelerometry-based activity monitor data.

John Staudenmayer1, Weimo Zhu, Diane J Catellier.   

Abstract

We review and discuss three statistical aspects of accelerometer-based estimates of physical activity energy expenditure (PAEE):1) the nature of the relationship between accelerometer output and PAEE;2) statistical aspects of calibration studies; and 3) two specialized statistical methods that are applicable to the problem of measurement error modeling and missing data methods.We call for a continuing development of statistical methods that use more characteristics of the accelerometer signal to estimate PAEE, advocate the use of bias and SE statistics and inclusion of cross-validation in accelerometer research designs, and encourage more efforts to understand systematic and random errors in accelerometer-based estimates of PAEE.

Mesh:

Year:  2012        PMID: 22157776     DOI: 10.1249/MSS.0b013e3182399e0f

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


  24 in total

1.  Accelerometry data in health research: challenges and opportunities.

Authors:  Marta Karas; Jiawei Bai; Marcin Strączkiewicz; Jaroslaw Harezlak; Nancy W Glynn; Tamara Harris; Vadim Zipunnikov; Ciprian Crainiceanu; Jacek K Urbanek
Journal:  Stat Biosci       Date:  2019-01-12

2.  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 3.  A Review of Emerging Analytical Techniques for Objective Physical Activity Measurement in Humans.

Authors:  Cain C T Clark; Claire M Barnes; Gareth Stratton; Melitta A McNarry; Kelly A Mackintosh; Huw D Summers
Journal:  Sports Med       Date:  2017-03       Impact factor: 11.136

4.  Understanding and Interpreting Error in Physical Activity Data: Insights from the FLASHE Study.

Authors:  Gregory J Welk; Pedro F Saint-Maurice; Youngwon Kim; Laura D Ellingson; Paul Hibbing; Dana L Wolff-Hughes; Frank M Perna
Journal:  Am J Prev Med       Date:  2017-06       Impact factor: 5.043

Review 5.  Calibration and validation of wearable monitors.

Authors:  David R Bassett; Alex Rowlands; Stewart G Trost
Journal:  Med Sci Sports Exerc       Date:  2012-01       Impact factor: 5.411

6.  Assessment of physical activity using wearable monitors: recommendations for monitor calibration and use in the field.

Authors:  Patty Freedson; Heather R Bowles; Richard Troiano; William Haskell
Journal:  Med Sci Sports Exerc       Date:  2012-01       Impact factor: 5.411

Review 7.  Motion Sensor Use for Physical Activity Data: Methodological Considerations.

Authors:  Margaret McCarthy; Margaret Grey
Journal:  Nurs Res       Date:  2015 Jul-Aug       Impact factor: 2.381

8.  Comparison of Accelerometry Methods for Estimating Physical Activity.

Authors:  Jacqueline Kerr; Catherine R Marinac; Katherine Ellis; Suneeta Godbole; Aaron Hipp; Karen Glanz; Jonathan Mitchell; Francine Laden; Peter James; David Berrigan
Journal:  Med Sci Sports Exerc       Date:  2017-03       Impact factor: 5.411

9.  Movement prediction using accelerometers in a human population.

Authors:  Luo Xiao; Bing He; Annemarie Koster; Paolo Caserotti; Brittney Lange-Maia; Nancy W Glynn; Tamara B Harris; Ciprian M Crainiceanu
Journal:  Biometrics       Date:  2015-08-19       Impact factor: 2.571

10.  Ankle Accelerometry for Assessing Physical Activity Among Adolescent Girls: Threshold Determination, Validity, Reliability, and Feasibility.

Authors:  Erin R Hager; Margarita S Treuth; Candice Gormely; LaShawna Epps; Soren Snitker; Maureen M Black
Journal:  Res Q Exerc Sport       Date:  2015-08-19       Impact factor: 2.500

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