Ability of Thigh-Worn ActiGraph and activPAL Monitors to Classify Posture and Motion

Steeves, Jeremy A.; Bowles, Heather R.; McClain, James J.; Dodd, Kevin W.; Brychta, Robert J.; Juan, Wang; Chen, Kong Y.

doi:10.1249/mss.0000000000000497

Cited by 99 publications

(89 citation statements)

References 30 publications

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“…A recent study in adults reported excellent accuracy for both the activPAL and ActiGraph GT3X+ (attached to the thigh) when classifying sitting, standing and stepping (the majority of the activities were correctly classified more than 90% of the time for both monitors) during a laboratory-based protocol (Steeves et al, 2015). In addition, the ActiGraph (attached to the thigh) provided similar estimates of sitting time compared to the activPAL (64% versus 62%) under free-living conditions (Steeves et al, 2015). Carr and Mahar (2012) reported that the hip-based ActiGraph correctly classified 90% of time spent sedentary (sedentary was defined as sitting and standing still) when using ≤ 150 counts per minute.…”

Section: Methodological Decisions When Measuring Sedentary Behavior Amentioning

confidence: 99%

“…However, the recent ActiGraph models (GT3X and up) also provide the possibility of classifying posture through the use of equations that estimate inclination from raw triaxial data. A recent study in adults reported excellent accuracy for both the activPAL and ActiGraph GT3X+ (attached to the thigh) when classifying sitting, standing and stepping (the majority of the activities were correctly classified more than 90% of the time for both monitors) during a laboratory-based protocol (Steeves et al, 2015). In addition, the ActiGraph (attached to the thigh) provided similar estimates of sitting time compared to the activPAL (64% versus 62%) under free-living conditions (Steeves et al, 2015).…”

Section: Methodological Decisions When Measuring Sedentary Behavior Amentioning

confidence: 99%

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Issues Related to Measuring and Interpreting Objectively Measured Sedentary Behavior Data

Janssen

Cliff

2015

Measurement in Physical Education and Exercise Science

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1The use of objective measures of sedentary behavior has increased over the past decade. However, as 2 is the case for objectively measured physical activity, methodological decision before and after data 3 collection are likely to influence the outcomes. The aim of this paper is to review the evidence on 4 different methodological decisions made by researchers when examining sedentary behavior. The 5 different issues researchers may encounter when measuring sedentary behavior have been divided 6 into: 1) activity monitor placement; 2) epochs, cut points and non-wear time definitions; 3) criteria for 7 sedentary behavior bouts and breaks; and 4) combining motion and posture data. This paper 8 recommends that 1) activity monitors should be placed on the thigh and combined with a data 9 reduction approach that estimates inclination, especially in children and adults; and 2) researchers 10 should clearly report their data processing decisions to enhance the ability to evaluate and compare 11 studies in the future. However, the paper also highlights a dearth of methodological evidence to 12 inform the use of objective measures of sedentary behavior. Based on the gaps in the literature, 13 research recommendations, which require addressing to develop a best practice protocol when 14 measuring sedentary behavior objectively, have been made. 15 16

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Section: Methodological Decisions When Measuring Sedentary Behavior Amentioning

confidence: 99%

Section: Methodological Decisions When Measuring Sedentary Behavior Amentioning

confidence: 99%

Issues Related to Measuring and Interpreting Objectively Measured Sedentary Behavior Data

Janssen

Cliff

2015

Measurement in Physical Education and Exercise Science

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“…Acceleration data can be used to identify the intensity of a given movement as well as its underlying pattern (i.e., frequency, duration) over predetermined epochs [41,42]. This device has demonstrated acceptable validity and reliability in children [43,44]. …”

Section: Methodsmentioning

confidence: 99%

Impact of an 8-Month Trial Using Height-Adjustable Desks on Children’s Classroom Sitting Patterns and Markers of Cardio-Metabolic and Musculoskeletal Health

Ayala

Salmon

Timperio

et al. 2016

IJERPH

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During school hours, children can sit for prolonged and unbroken periods of time. This study investigated the impact of an 8-month classroom-based intervention focusing on reducing and breaking-up sitting time on children’s cardio-metabolic risk factors (i.e., body mass index, waist circumference, blood pressure) and perceptions of musculoskeletal discomfort. Two Year-6 classes (24 students per class) in one primary school were assigned to either an intervention or control classroom. The intervention classroom was equipped with height-adjustable desks and the teacher was instructed in the delivery of pedagogical strategies to reduce and break-up sitting in class. The control classroom followed standard practice using traditional furniture. At baseline, and after 8-months, time spent sitting, standing, stepping, and sitting-bouts (occasions of continuous sitting) as well as the frequency of sit-to-stand transitions were obtained from activPAL inclinometers and the time spent in light-intensity physical activity was obtained from ActiGraph accelerometers. Demographics and musculoskeletal characteristics were obtained from a self-report survey. Hierarchical linear mixed models found that during class-time, children’s overall time spent sitting in long bouts (>10 min) were lower and the number of sit-to-stand transitions were higher in the intervention group compared to the control group, while no changes were observed for musculoskeletal pain/discomfort. No significant intervention effects were found for the anthropometrics measures and blood pressure. Height-adjustable desks and pedagogical strategies to reduce/break-up sitting can positively modify classroom sitting patterns in children. Longer interventions, larger and varied sample size may be needed to show health impacts; however, these desks did not increase musculoskeletal pain/discomfort.

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“…threshold, for example, has been reported as only 50% accurate in detecting sedentary time in laboratory studies. 12 Triaxial accelerometers have the potential to act as inclinometers to help identify body posture, dependent on wear location. Accelerometers worn on the thigh (Figure 1) provide greater ability to robustly distinguish between standing (thigh vertical) and sitting/lying (thigh horizontal) in comparison with the waist or the wrist.…”

Section: Measuring Sb Using Accelerometersmentioning

confidence: 99%

Objective measurement of sedentary behaviour using accelerometers

Byrom¹,

Stratton

Carthy³

et al. 2016

Int J Obes

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Background:Sedentary behaviour (SB) is an important risk factor for a number of chronic diseases. Although gaps remain in our knowledge of the elements of SB most associated with reduced health outcomes, measuring SB is important, especially in less active patient populations where treatment-related changes may be seen first in changes in SB.Methods:We review current published work in the measurement of SB to make recommendations for SB measurement in clinical studies.Results:To help move our understanding of the area forward, we propose a set of derived measures of SB that can be easily understood and interpreted.Conclusion:Although there is more work required to determine and validate the most clinically relevant and sensitive measures of SB, there is enough understanding of how to measure SB to enable its inclusion in study protocols.

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Ability of Thigh-Worn ActiGraph and activPAL Monitors to Classify Posture and Motion

Cited by 99 publications

References 30 publications

Issues Related to Measuring and Interpreting Objectively Measured Sedentary Behavior Data

Issues Related to Measuring and Interpreting Objectively Measured Sedentary Behavior Data

Impact of an 8-Month Trial Using Height-Adjustable Desks on Children’s Classroom Sitting Patterns and Markers of Cardio-Metabolic and Musculoskeletal Health

Objective measurement of sedentary behaviour using accelerometers

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