Literature DB >> 28288011

Using Activity Monitors to Measure Sit-to-Stand Transitions in Overweight/Obese Youth.

Tarrah Mitchell1, Kelsey Borner, Jonathan Finch, Jacqueline Kerr, Jordan A Carlson.   

Abstract

INTRODUCTION: Reducing sedentary behavior has emerged as an important health intervention strategy. Although hip-worn, and more recently wrist-worn, accelerometers are commonly used for measuring physical activity and sedentary behavior, they may not provide accurate measures of postural changes. The current study examined the validity of commonly used hip- and wrist-worn accelerometer cut points and the thigh-worn activPAL activity monitor for measuring sit-to-stand transitions as compared with direct observation in youth with overweight and obesity.
METHODS: Nine children wore three activity monitors while being directly observed. The monitors included a hip- and wrist-worn ActiGraph and thigh-worn activPAL. The hip-worn ActiGraph was processed with the normal- and low-frequency filters and the inclinometer function. Cut points of ≤25 counts per 15-s epoch for the hip and ≤105 counts per 15-s epoch for the wrist were applied to the vertical axis to identify sit-to-stand transitions. Epoch-level absolute agreement, Bland-Altman plots, mixed-effects linear regression, and intraclass correlation coefficients (ICC) were investigated.
RESULTS: The hip and wrist accelerometer cut points and the hip inclinometer function overestimated the number of hourly sit-to-stand transitions by approximately triple as compared with direct observation. ICC values between the ActiGraph methods and the direct observation were all <0.12. Sit-to-stand transitions assessed from activPAL were within 17% of direct observation; ICC was 0.26.
CONCLUSION: Despite the common use of the 100-count hip-worn accelerometer cut point for assessing sedentary time, these processing decisions should be used with caution for assessing sit-to-stand transitions. Future research should investigate other processing methods for ActiGraph data, and studies investigating postural changes should consider including devices such as activPAL.

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Mesh:

Year:  2017        PMID: 28288011      PMCID: PMC5511082          DOI: 10.1249/MSS.0000000000001266

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


  35 in total

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8.  Comparison of accelerometer cut points for predicting activity intensity in youth.

Authors:  Stewart G Trost; Paul D Loprinzi; Rebecca Moore; Karin A Pfeiffer
Journal:  Med Sci Sports Exerc       Date:  2011-07       Impact factor: 5.411

9.  Improving physical activity assessment in prepubertal children with high-frequency accelerometry monitoring: a methodological issue.

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Authors:  Luis B Sardinha; Lars Bo Andersen; Sigmund A Anderssen; Ana L Quitério; Rui Ornelas; Karsten Froberg; Chris J Riddoch; Ulf Ekelund
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2.  Improving Hip-Worn Accelerometer Estimates of Sitting Using Machine Learning Methods.

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3.  Assessment of Thigh Angular Velocity by an Activity Monitor to Describe Sit-to-Stand Performance.

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4.  CHAP-child: an open source method for estimating sit-to-stand transitions and sedentary bout patterns from hip accelerometers among children.

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