Literature DB >> 22157774

Assessing physical activity using wearable monitors: measures of physical activity.

Nancy F Butte1, Ulf Ekelund, Klaas R Westerterp.   

Abstract

BACKGROUND: Physical activity may be defined broadly as "all bodily actions produced by the contraction of skeletal muscle that increase energy expenditure above basal level." Physical activity is a complex construct that can be classified into major categories qualitatively, quantitatively, or contextually. The quantitative assessment of physical activity using wearable monitors is grounded in the measurement of energy expenditure. Six main categories of wearable monitors are currently available to investigators: pedometers, load transducers/foot-contact monitors, accelerometers, HR monitors, combined accelerometer and HR monitors, and multiple sensor systems. BEST PRACTICES: Currently available monitors are capable of measuring total physical activity as well as components of physical activity that play important roles in human health. The selection of wearable monitors for measuring physical activity will depend on the physical activity component of interest, study objectives, characteristics of the target population, and study feasibility in terms of cost and logistics. FUTURE DIRECTIONS: Future development of sensors and analytical techniques for assessing physical activity should focus on the dynamic ranges of sensors, comparability for sensor output across manufacturers, and the application of advanced modeling techniques to predict energy expenditure and classify physical activities. New approaches for qualitatively classifying physical activity should be validated using direct observation or recording. New sensors and methods for quantitatively assessing physical activity should be validated in laboratory and free-living populations using criterion methods of calorimetry or doubly labeled water.

Entities:  

Mesh:

Year:  2012        PMID: 22157774     DOI: 10.1249/MSS.0b013e3182399c0e

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


  88 in total

1.  Incorporating an Exercise Detection, Grading, and Hormone Dosing Algorithm Into the Artificial Pancreas Using Accelerometry and Heart Rate.

Authors:  Peter G Jacobs; Navid Resalat; Joseph El Youssef; Ravi Reddy; Deborah Branigan; Nicholas Preiser; John Condon; Jessica Castle
Journal:  J Diabetes Sci Technol       Date:  2015-10-05

2.  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

3.  Establishing and evaluating wrist cutpoints for the GENEActiv accelerometer in youth.

Authors:  Christine A Schaefer; Claudio R Nigg; James O Hill; Lois A Brink; Raymond C Browning
Journal:  Med Sci Sports Exerc       Date:  2014-04       Impact factor: 5.411

4.  The effect of structured exercise intervention on intensity and volume of total physical activity.

Authors:  Niko Wasenius; Mika Venojärvi; Sirpa Manderoos; Jukka Surakka; Harri Lindholm; Olli J Heinonen; Sirkka Aunola; Johan G Eriksson; Esko Mälkiä
Journal:  J Sports Sci Med       Date:  2014-12-01       Impact factor: 2.988

5.  A wrist sensor and algorithm to determine instantaneous walking cadence and speed in daily life walking.

Authors:  Benedikt Fasel; Cyntia Duc; Farzin Dadashi; Flavien Bardyn; Martin Savary; Pierre-André Farine; Kamiar Aminian
Journal:  Med Biol Eng Comput       Date:  2017-02-14       Impact factor: 2.602

Review 6.  Harnessing the Potential of Wearable Activity Trackers for Heart Failure Self-Care.

Authors:  Muaddi Alharbi; Nicola Straiton; Robyn Gallagher
Journal:  Curr Heart Fail Rep       Date:  2017-02

7.  Relationships among affective states, physical activity, and sedentary behavior in children: Moderation by perceived stress.

Authors:  Cheng K Fred Wen; Yue Liao; Jaclyn P Maher; Jimi Huh; Britni R Belcher; Eldin Dzubur; Genevieve F Dunton
Journal:  Health Psychol       Date:  2018-10       Impact factor: 4.267

Review 8.  Assessing and increasing physical activity.

Authors:  Carole M Van Camp; Lynda B Hayes
Journal:  J Appl Behav Anal       Date:  2012

9.  Objectively measured physical activity is related to cognitive function in older adults.

Authors:  Jacqueline Kerr; Simon J Marshall; Ruth E Patterson; Catherine R Marinac; Loki Natarajan; Dori Rosenberg; Kari Wasilenko; Katie Crist
Journal:  J Am Geriatr Soc       Date:  2013-11       Impact factor: 5.562

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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