Literature DB >> 26110697

Visual Inspection for Determining Days When Accelerometer Is Worn: Is This Valid?

Eric J Shiroma1, Masamitsu Kamada, Colby Smith, Tamara B Harris, I-Min Lee.   

Abstract

PURPOSE: Logs have been traditionally used for ascertaining accelerometer wear days in mail study designs, but not all participants complete logs. Visual inspection of accelerometer output may supplement missing logs; however, no data on the validity of this method are available.
METHODS: We compared visual inspection with participant logs in 197 women (mean age, 71.0 yr). Women were mailed an accelerometer to be worn during waking hours for 7 d, marking each wear day on a log before returning the accelerometer by mail. For every participant, we created a series of graphs of accelerometer counts by time of day (one chart for each day with accelerometer output, including mail days). Two raters, masked to log wear status, independently inspected these graphs and scored each day as "worn" or "not worn."
RESULTS: The median (interquartile range) number of valid wear days using either visual inspection or log was 7 (7-7). For rater 1, the sensitivity and specificity of visual inspection was 99.7% (95% confidence interval, 99.2%-99.9%) and 97.2% (95.2%-98.6%), respectively; for rater 2, the sensitivity and specificity of visual inspection was 99.7% (99.2%-99.9%) and 97.0% (94.9%-98.4%), respectively. Interrater agreement was 99.5%.
CONCLUSIONS: Visual inspection of accelerometer data is a valid alternative to missing participant wear logs when determining wear days in mail study designs.

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Mesh:

Year:  2015        PMID: 26110697      PMCID: PMC4644442          DOI: 10.1249/MSS.0000000000000725

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


  15 in total

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Authors:  Dianne S Ward; Kelly R Evenson; Amber Vaughn; Anne Brown Rodgers; Richard P Troiano
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4.  ActiGraph GT3X+ cut-points for identifying sedentary behaviour in older adults in free-living environments.

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5.  Validation and comparison of ActiGraph activity monitors.

Authors:  Jeffer E Sasaki; Dinesh John; Patty S Freedson
Journal:  J Sci Med Sport       Date:  2011-05-25       Impact factor: 4.319

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Authors:  Geeske Peeters; Yolanda van Gellecum; Gemma Ryde; Nicolas Aguilar Farías; Wendy J Brown
Journal:  J Sci Med Sport       Date:  2013-01-05       Impact factor: 4.319

Review 7.  Evolution of accelerometer methods for physical activity research.

Authors:  Richard P Troiano; James J McClain; Robert J Brychta; Kong Y Chen
Journal:  Br J Sports Med       Date:  2014-04-29       Impact factor: 13.800

8.  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

9.  Patterns of accelerometer-assessed sedentary behavior in older women.

Authors:  Eric J Shiroma; Patty S Freedson; Stewart G Trost; I-Min Lee
Journal:  JAMA       Date:  2013-12-18       Impact factor: 56.272

10.  Impact of accelerometer data processing decisions on the sample size, wear time and physical activity level of a large cohort study.

Authors:  Sarah Kozey Keadle; Eric J Shiroma; Patty S Freedson; I-Min Lee
Journal:  BMC Public Health       Date:  2014-11-24       Impact factor: 3.295

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  4 in total

Review 1.  Assessing Daily Physical Activity in Older Adults: Unraveling the Complexity of Monitors, Measures, and Methods.

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Journal:  J Gerontol A Biol Sci Med Sci       Date:  2016-03-08       Impact factor: 6.053

2.  An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing.

Authors:  Dinesh John; Qu Tang; Fahd Albinali; Stephen Intille
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3.  Day length is associated with physical activity and sedentary behavior among older women.

Authors:  Mitchell A Schepps; Eric J Shiroma; Masamitsu Kamada; Tamara B Harris; I-Min Lee
Journal:  Sci Rep       Date:  2018-04-26       Impact factor: 4.379

4.  Physical Activity Levels in Chinese One-Year-Old Children and Their Parents, an Early STOPP China Study.

Authors:  Hong Mei; Elin Johansson; Maria Hagströmer; Yuelin Xiong; Lanlan Zhang; Jianduan Zhang; Claude Marcus
Journal:  PLoS One       Date:  2016-04-14       Impact factor: 3.240

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