Literature DB >> 27654140

Daily physical activity patterns from hip- and wrist-worn accelerometers.

E J Shiroma1, M A Schepps, J Harezlak, K Y Chen, C E Matthews, A Koster, P Caserotti, N W Glynn, T B Harris.   

Abstract

Accelerometer wear location may influence physical activity estimates. This study investigates this relationship through the examination of activity patterns throughout the day. Participants from the aging research evaluating accelerometry (AREA) study (n men  =  37, n women  =  47, mean age (SD)  =  78.9 (5.5) years) were asked to wear accelerometers in a free-living environment for 7 d at three different wear locations; one on each wrist and one on the right hip. During waking hours, wrist-worn accelerometers consistently produced higher median activity counts, about 5  ×  higher, as well as wider variability compared to hip-worn monitors. However, the shape of the accrual pattern curve over the course of the day for the hip and wrist are similar; there is a spike in activity in the morning, with a prolonged tapering of activity level as the day progresses. The similar patterns of hip and wrist activity accrual provide support that each location is capable of estimating total physical activity volume. The examination of activity patterns over time may provide a more detailed way to examine differences in wear location and different subpopulations.

Entities:  

Year:  2016        PMID: 27654140      PMCID: PMC5360542          DOI: 10.1088/0967-3334/37/10/1852

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  26 in total

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Review 2.  Calibration of accelerometer output for adults.

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

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Journal:  J Gerontol A Biol Sci Med Sci       Date:  2013-12-14       Impact factor: 6.053

4.  Machine learning for activity recognition: hip versus wrist data.

Authors:  Stewart G Trost; Yonglei Zheng; Weng-Keen Wong
Journal:  Physiol Meas       Date:  2014-10-23       Impact factor: 2.833

5.  Physical activity in U.S.: adults compliance with the Physical Activity Guidelines for Americans.

Authors:  Jared M Tucker; Gregory J Welk; Nicholas K Beyler
Journal:  Am J Prev Med       Date:  2011-04       Impact factor: 5.043

Review 6.  Using accelerometers to measure physical activity in large-scale epidemiological studies: issues and challenges.

Authors:  I-Min Lee; Eric J Shiroma
Journal:  Br J Sports Med       Date:  2013-12-02       Impact factor: 13.800

7.  Physical activity in the United States measured by accelerometer.

Authors:  Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell
Journal:  Med Sci Sports Exerc       Date:  2008-01       Impact factor: 5.411

8.  Accelerometer-measured physical activity in Chinese adults.

Authors:  Tricia M Peters; Steven C Moore; Yong Bing Xiang; Gong Yang; Xiao Ou Shu; Ulf Ekelund; Bu-Tian Ji; Yu Ting Tan; Da Ke Liu; Arthur Schatzkin; Wei Zheng; Wong Ho Chow; Charles E Matthews; Michael F Leitzmann
Journal:  Am J Prev Med       Date:  2010-06       Impact factor: 5.043

9.  Diurnal patterns of objectively measured physical activity and sedentary behaviour in older men.

Authors:  Claudio Sartini; S Goya Wannamethee; Steve Iliffe; Richard W Morris; Sarah Ash; Lucy Lennon; Peter H Whincup; Barbara J Jefferis
Journal:  BMC Public Health       Date:  2015-07-04       Impact factor: 3.295

10.  Optimal placement of accelerometers for the detection of everyday activities.

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Journal:  Sensors (Basel)       Date:  2013-07-17       Impact factor: 3.576

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2.  Physical activity measured with wrist and ankle accelerometers: Age, gender, and BMI effects.

Authors:  Veronica Ramirez; Ehsan Shokri-Kojori; Elizabeth A Cabrera; Corinde E Wiers; Kathleen Merikangas; Dardo Tomasi; Gene-Jack Wang; Nora D Volkow
Journal:  PLoS One       Date:  2018-04-27       Impact factor: 3.240

3.  Gender, age and socioeconomic variation in 24-hour physical activity by wrist-worn accelerometers: the FinHealth 2017 Survey.

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4.  On Placement, Location and Orientation of Wrist-Worn Tri-Axial Accelerometers during Free-Living Measurements.

Authors:  Marcin Straczkiewicz; Nancy W Glynn; Jaroslaw Harezlak
Journal:  Sensors (Basel)       Date:  2019-05-06       Impact factor: 3.576

5.  Assessing Physical Activity and Sedentary Behavior under Free-Living Conditions: Comparison of Active Style Pro HJA-350IT and ActiGraphTM GT3X.

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6.  Assessment of physical activity and cognitive function and their potential correlation in convalescent patients of cerebrovascular disease.

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Journal:  Sci Rep       Date:  2019-03-07       Impact factor: 4.379

7.  Mobility and Vitality Lifestyle Program (MOVE UP): A Community Health Worker Intervention for Older Adults With Obesity to Improve Weight, Health, and Physical Function.

Authors:  Elizabeth M Venditti; Janice C Zgibor; Joni Vander Bilt; Lori A Kieffer; Robert M Boudreau; Lora E Burke; Nancy W Glynn; John M Jakicic; Kenneth J Smith; Linda N Semler; Judith R Rager; Steven M Albert; Anne B Newman
Journal:  Innov Aging       Date:  2018-06-18

8.  Comparability of accelerometer signal aggregation metrics across placements and dominant wrist cut points for the assessment of physical activity in adults.

Authors:  Jairo H Migueles; Cristina Cadenas-Sanchez; Alex V Rowlands; Pontus Henriksson; Eric J Shiroma; Francisco M Acosta; Maria Rodriguez-Ayllon; Irene Esteban-Cornejo; Abel Plaza-Florido; Jose J Gil-Cosano; Ulf Ekelund; Vincent T van Hees; Francisco B Ortega
Journal:  Sci Rep       Date:  2019-12-03       Impact factor: 4.379

9.  Physical Activity across Retirement Transition by Occupation and Mode of Commute.

Authors:  Anna Pulakka; Tuija Leskinen; Kristin Suorsa; Jaana Pentti; Jaana I Halonen; Jussi Vahtera; Sari Stenholm
Journal:  Med Sci Sports Exerc       Date:  2020-09

10.  Real-Time Tracking of Human Neck Postures and Movements.

Authors:  Korupalli V Rajesh Kumar; Susan Elias
Journal:  Healthcare (Basel)       Date:  2021-12-19
  10 in total

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