Literature DB >> 22157777

Best practices for using physical activity monitors in population-based research.

Charles E Matthews1, Maria Hagströmer, David M Pober, Heather R Bowles.   

Abstract

The use of physical activity monitors in population-based research has increased dramatically in the past decade. In this report, we review the major purpose for using physical activity monitors in different types of population-based studies (i.e., surveillance, intervention, association studies) and discuss the strengths and weaknesses for the various behavioral outcomes derived from monitors for each study type. We also update and extend previous recommendations for use of these instruments in large-scale studies, particularly with respect to selecting monitor systems in the context of technological advances that have occurred in recent years. The current state of the science with respect to optimal measurement schedules for use of physical activity monitors is also discussed. A checklist and flowchart are provided so that investigators have more guidance when reporting key elements of monitor use in their studies.

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Year:  2012        PMID: 22157777      PMCID: PMC3543867          DOI: 10.1249/MSS.0b013e3182399e5b

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


  37 in total

1.  Correlated errors in biased surrogates: study designs and methods for measurement error correction.

Authors:  D Spiegelman; B Zhao; J Kim
Journal:  Stat Med       Date:  2005-06-15       Impact factor: 2.373

Review 2.  Calibration of accelerometer output for adults.

Authors:  Charles E Matthew
Journal:  Med Sci Sports Exerc       Date:  2005-11       Impact factor: 5.411

Review 3.  Accelerometer data reduction: a comparison of four reduction algorithms on select outcome variables.

Authors:  Louise C Mâsse; Bernard F Fuemmeler; Cheryl B Anderson; Charles E Matthews; Stewart G Trost; Diane J Catellier; Margarita Treuth
Journal:  Med Sci Sports Exerc       Date:  2005-11       Impact factor: 5.411

4.  Development of novel techniques to classify physical activity mode using accelerometers.

Authors:  David M Pober; John Staudenmayer; Christopher Raphael; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2006-09       Impact factor: 5.411

5.  The validation of a novel activity monitor in the measurement of posture and motion during everyday activities.

Authors:  P M Grant; C G Ryan; W W Tigbe; M H Granat
Journal:  Br J Sports Med       Date:  2006-09-15       Impact factor: 13.800

6.  Nonexercise movement in elderly compared with young people.

Authors:  Ann M Harris; Lorraine M Lanningham-Foster; Shelly K McCrady; James A Levine
Journal:  Am J Physiol Endocrinol Metab       Date:  2007-04       Impact factor: 4.310

7.  A novel method for using accelerometer data to predict energy expenditure.

Authors:  Scott E Crouter; Kurt G Clowers; David R Bassett
Journal:  J Appl Physiol (1985)       Date:  2005-12-01

8.  Field validation of the MTI Actigraph and BodyMedia armband monitor using the IDEEA monitor.

Authors:  Gregory J Welk; James J McClain; Joey C Eisenmann; Eric E Wickel
Journal:  Obesity (Silver Spring)       Date:  2007-04       Impact factor: 5.002

9.  Objectively measured physical activity in sixth-grade girls.

Authors:  Russell R Pate; June Stevens; Charlotte Pratt; James F Sallis; Kathryn H Schmitz; Larry S Webber; Gregory Welk; Deborah R Young
Journal:  Arch Pediatr Adolesc Med       Date:  2006-12

10.  Objectively measured light-intensity physical activity is independently associated with 2-h plasma glucose.

Authors:  Genevieve N Healy; David W Dunstan; Jo Salmon; Ester Cerin; Jonathan E Shaw; Paul Z Zimmet; Neville Owen
Journal:  Diabetes Care       Date:  2007-05-01       Impact factor: 19.112

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  225 in total

1.  Objective measures of activity level and mortality in older men.

Authors:  Kristine E Ensrud; Terri L Blackwell; Jane A Cauley; Thuy-Tien L Dam; Peggy M Cawthon; John T Schousboe; Elizabeth Barrett-Connor; Katie L Stone; Douglas C Bauer; James M Shikany; Dawn C Mackey
Journal:  J Am Geriatr Soc       Date:  2014-11-03       Impact factor: 5.562

2.  Sedentary behavior: emerging evidence for a new health risk.

Authors:  Neville Owen; Phillip B Sparling; Geneviève N Healy; David W Dunstan; Charles E Matthews
Journal:  Mayo Clin Proc       Date:  2010-12       Impact factor: 7.616

3.  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

4.  Changes in Moderate Intensity Physical Activity Are Associated With Better Cognition in the Multilevel Intervention for Physical Activity in Retirement Communities (MIPARC) Study.

Authors:  Zvinka Z Zlatar; Suneeta Godbole; Michelle Takemoto; Katie Crist; Cynthia M Castro Sweet; Jacqueline Kerr; Dori E Rosenberg
Journal:  Am J Geriatr Psychiatry       Date:  2019-04-29       Impact factor: 4.105

5.  Instrumental variable approach to estimating the scalar-on-function regression model with measurement error with application to energy expenditure assessment in childhood obesity.

Authors:  Carmen D Tekwe; Roger S Zoh; Miao Yang; Raymond J Carroll; Gilson Honvoh; David B Allison; Mark Benden; Lan Xue
Journal:  Stat Med       Date:  2019-06-20       Impact factor: 2.373

6.  Are adults with bipolar disorder active? Objectively measured physical activity and sedentary behavior using accelerometry.

Authors:  Carol A Janney; Andrea Fagiolini; Holly A Swartz; John M Jakicic; Robert G Holleman; Caroline R Richardson
Journal:  J Affect Disord       Date:  2013-09-18       Impact factor: 4.839

7.  Evaluating Mailed Motivational, Individually Tailored Postcard Boosters for Promoting Girls' Postintervention Moderate-to-Vigorous Physical Activity.

Authors:  Marion Bakhoya; Jiying Ling; Karin A Pfeiffer; Lorraine B Robbins
Journal:  Nurs Res       Date:  2016 Sep-Oct       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.  Sedentary behaviour and physical activity across pregnancy and birth outcomes.

Authors:  Melissa A Jones; Janet M Catov; Arun Jeyabalan; Kara M Whitaker; Bethany Barone Gibbs
Journal:  Paediatr Perinat Epidemiol       Date:  2020-10-30       Impact factor: 3.980

10.  Classification accuracy of the wrist-worn gravity estimator of normal everyday activity accelerometer.

Authors:  Whitney A Welch; David R Bassett; Dixie L Thompson; Patty S Freedson; John W Staudenmayer; Dinesh John; Jeremy A Steeves; Scott A Conger; Tyrone Ceaser; Cheryl A Howe; Jeffer E Sasaki; Eugene C Fitzhugh
Journal:  Med Sci Sports Exerc       Date:  2013-10       Impact factor: 5.411

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