Literature DB >> 16294114

Calibration of accelerometer output for adults.

Charles E Matthew1.   

Abstract

This paper reviews the collective experience of monitor calibration studies in adults and seeks to answer the following questions: What has been done? What have we learned? What could be done to further enhance the comparability of results from future calibration research? Calibration studies in adults have typically used oxygen consumption as a criterion measure, similar types of source activities, and linear regression to obtain prediction equations that calibrate the activity counts to measured activity intensity levels. However, the methodological diversity of these studies has produced a great deal of variation in the resulting prediction equations and cut points, even when using the same monitor. Thus, data obtained from a relatively robust activity monitoring technology that captures many dynamic physical activities reasonably well have been splintered by the calibration process into a wide range of summary measures that are much less comparable than they could otherwise be. This heterogeneity in calibration results reduces our ability to interpret data obtained from accelerometers between different research groups, across the life span, between populations, and probably between the different monitor types. This report reviews and critiques methods typically used for developing calibration equations and determining activity count cut points for identifying specific intensities of PA among adults, and it highlights the need for flexible research methods that can enhance the comparability of results from future calibration studies.

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Year:  2005        PMID: 16294114     DOI: 10.1249/01.mss.0000185659.11982.3d

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


  272 in total

1.  Objectively measured sedentary time and physical activity and associations with body weight gain: does body weight determine a decline in moderate and vigorous intensity physical activity?

Authors:  U Ekelund; E Kolle; J Steene-Johannessen; K E Dalene; A K O Nilsen; S A Anderssen; B H Hansen
Journal:  Int J Obes (Lond)       Date:  2017-08-04       Impact factor: 5.095

2.  Fatigability as a function of physical activity energy expenditure in older adults.

Authors:  Maciej S Buchowski; Sandra F Simmons; Lauren E Whitaker; James Powers; Linda Beuscher; Leena Choi; T Alp Ikizler; Kong Chen; John F Shnelle
Journal:  Age (Dordr)       Date:  2011-11-24

3.  Evaluation of a questionnaire to assess sedentary and active behaviors in the Southern Community Cohort Study.

Authors:  Maciej S Buchowski; Charles E Matthews; Sarah S Cohen; Lisa B Signorello; Jay H Fowke; Margaret K Hargreaves; David G Schlundt; William J Blot
Journal:  J Phys Act Health       Date:  2011-08-02

4.  Validity of two wearable monitors to estimate breaks from sedentary time.

Authors:  Kate Lyden; Sarah L Kozey Keadle; John W Staudenmayer; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2012-11       Impact factor: 5.411

5.  Effect of BMI on prediction of accelerometry-based energy expenditure in youth.

Authors:  Joshua Warolin; Amanda R Carrico; Lauren E Whitaker; Li Wang; Kong Y Chen; Sari Acra; Maciej S Buchowski
Journal:  Med Sci Sports Exerc       Date:  2012-12       Impact factor: 5.411

6.  Analysis and Interpretation of Accelerometry Data in Older Adults: The LIFE Study.

Authors:  W Jack Rejeski; Anthony P Marsh; Peter H Brubaker; Matthew Buman; Roger A Fielding; Don Hire; Todd Manini; Alvito Rego; Michael E Miller
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-10-29       Impact factor: 6.053

7.  Design and evaluation of theory-informed technology to augment a wellness motivation intervention.

Authors:  Siobhan McMahon; Mithra Vankipuram; Eric B Hekler; Julie Fleury
Journal:  Transl Behav Med       Date:  2014-03       Impact factor: 3.046

8.  Decreased physical activity predicts cognitive dysfunction and reduced cerebral blood flow in heart failure.

Authors:  Michael L Alosco; Mary Beth Spitznagel; Ronald Cohen; Naftali Raz; Lawrence H Sweet; Richard Josephson; Joel Hughes; Jim Rosneck; John Gunstad
Journal:  J Neurol Sci       Date:  2014-02-18       Impact factor: 3.181

9.  Association of physical activity in the past year and immediately after in vitro fertilization on pregnancy.

Authors:  Kelly R Evenson; Kathryn C Calhoun; Amy H Herring; David Pritchard; Fang Wen; Anne Z Steiner
Journal:  Fertil Steril       Date:  2014-02-10       Impact factor: 7.329

10.  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

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