Accuracy of the ActiGraph GT9X Inclinometer to Assess Human Body Postures

Loprinzi, Paul D.; Smith, Brandee

doi:10.5455/jbh.20170813081246

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…Until recently, ActiGraph accelerometers did not have an inclinometer for detecting posture, which meant they were unable to differentiate between sitting and standing, and therefore they would have misclassified some standing as sitting. Although, newer models (GT3X and GT9X Link) include an inclinometer, when worn on the hip and wrist they have been shown to have only moderate accuracy (60.6-74%) for classifying body posture [174][175][176]. This may be because the ActiGraph outputs for standing still and sedentary are similar, which may lead to some misclassification of standing time as sedentary time [177].…”

Section: Accelerometersmentioning

confidence: 99%

The relationship between the home environment and children’s physical activity and sedentary behaviour at home

Sheldrick¹

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Increasing children’s physical activity (PA) and reducing their sedentary behaviour are considered important preventative measures for obesity and several other health risk factors in children. Given children spend significant time at home, an improved understanding of these behaviours in the home environment would provide invaluable insight for interventions. Therefore, the overarching aim of this thesis was to provide new insight into how the home environment is related to children’s home-based PA and sedentary behaviour. Study 1 investigated the relationship between sufficient moderate-to-vigorous physical activity (MVPA) (≥60 min·day–1) and excessive screen-time (≥2 h·day–1) with lifestyle factors in children, and found they were associated with healthy and unhealthy factors, respectively. This study highlighted the importance of meeting PA and screen-time recommendations in relation to important health-related lifestyle factors, which is of concern, as few children were shown to meet such recommendations. Identifying the correlates of children’s behaviours is an important stage in intervention development, therefore studies 2-5 focussed on improving understanding of children’s PA and sedentary behaviour at home. Study 2 demonstrated the validity and reliability of HomeSPACE-II, a novel instrument for measuring physical factors that influence children’s home-based PA and sedentary behaviour. Using HomeSPACE-II, study 3 showed that the physical home environment is related to children’s home-based PA and sedentary behaviour. Given the established influence of social and individual factors on children’s behaviour and their confounding effects in study 3, study 4 investigated the influence of social and individual factors on: (i) children’s home-based PA and sedentary behaviour, and; (ii) the home physical environment. Study 4 revealed that parental and child activity preferences and priorities, as well as parental rules were associated with children’s home-based PA and sedentary behaviour and the physical home environment. Study 5 found clusters of social and physical factors at home, which were associated with children’s home-based PA and sedentary behaviour as well as background characteristics in the expected directions.

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Section: Accelerometersmentioning

confidence: 99%

The relationship between the home environment and children’s physical activity and sedentary behaviour at home

Sheldrick¹

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Development and Evaluation of an Accelerometer-Based Protocol for Measuring Physical Activity Levels in Cancer Survivors: Development and Usability Study (Preprint)

Crane¹,

Skiba²,

Miller³

et al. 2020

Preprint

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BACKGROUND The collection of self-reported physical activity using validated questionnaires has known bias and measurement error. OBJECTIVE Accelerometry, an objective measure of daily activity, increases the rigor and accuracy of physical activity measurements. Here, we describe the methodology and related protocols for accelerometry data collection and quality assurance using the Actigraph GT9X accelerometer data collection in a convenience sample of ovarian cancer survivors enrolled in GOG/NRG 0225, a 24-month randomized controlled trial of diet and physical activity intervention versus attention control. METHODS From July 2015 to December 2019, accelerometers were mailed on 1337 separate occasions to 580 study participants to wear at 4 time points (baseline, 6, 12, and 24 months) for 7 consecutive days. Study staff contacted participants via telephone to confirm their availability to wear the accelerometers and reviewed instructions and procedures regarding the return of the accelerometers and assisted with any technology concerns. RESULTS We evaluated factors associated with wear compliance, including activity tracking, use of a mobile app, and demographic characteristics with chi-square tests and logistic regression. Compliant data, defined as ≥4 consecutive days with ≥10 hours daily wear time, exceeded 90% at all study time points. Activity tracking, but no other characteristics, was significantly associated with compliant data at all time points (<i>P</i><.001). This implementation of data collection through accelerometry provided highly compliant and usable activity data in women who recently completed treatment for ovarian cancer. CONCLUSIONS The high compliance and data quality associated with this protocol suggest that it could be disseminated to support researchers who seek to collect robust objective activity data in cancer survivors residing in a wide geographic area.

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Accuracy of the ActiGraph GT9X Inclinometer to Assess Human Body Postures

Cited by 2 publications

References 14 publications

The relationship between the home environment and children’s physical activity and sedentary behaviour at home

The relationship between the home environment and children’s physical activity and sedentary behaviour at home

Development and Evaluation of an Accelerometer-Based Protocol for Measuring Physical Activity Levels in Cancer Survivors: Development and Usability Study (Preprint)

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