Assessing Sedentary Behavior with the GENEActiv

Rowlands, Alex V.; Olds, Tim; Hillsdon, Melvyn; Pulsford, Richard; Hurst, Tina L.; Eston, Roger G.; Gomersall, Sjaan R.; Johnston, Kylie; Langford, Joss

doi:10.1249/mss.0000000000000224

Cited by 106 publications

(123 citation statements)

References 30 publications

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“…Through the model development processes, researchers also recognised that PAEE was not the only outcome variable that could be extracted from acceleration signals. With the implementation of piezoresistive and capacitive accelerometer transducers, static acceleration (the direct current or DC component) from the raw signals can be used to estimate limb angles and thus infer postures 11. Combining the positional information with the movement acceleration data (the alternating current or AC component) in orthogonal directions provides rich feature sets that allow modelling experts and statisticians to utilise the power of pattern recognition, machine learning and fusion of different techniques to respond to an ever-expanding application field 12.…”

Section: Prospects and Advances In Accelerometer Methodsmentioning

confidence: 99%

Evolution of accelerometer methods for physical activity research

et al. 2014

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The technology and application of current accelerometer-based devices in physical activity (PA) research allow the capture and storage or transmission of large volumes of raw acceleration signal data. These rich data provide opportunities to improve physical activity characterization, but also bring logistical and analytic challenges. We discuss how researchers and developers from multiple disciplines are responding to the analytic challenges and how advances in data storage, transmission, and big data computing will minimize logistical challenges. These new approaches also bring the need for several paradigm shifts for PA researchers, including a shift from count-based approaches and regression calibrations for PA energy expenditure (EE) estimation to activity characterization and EE estimation based on features extracted from raw acceleration signals. Furthermore, a collaborative approach toward analytic methods is proposed to facilitate PA research, which requires a shift away from multiple independent calibration studies. Finally, we make the case for a distinction between PA represented by accelerometer-based devices and PA assessed by self-report.

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Section: Prospects and Advances In Accelerometer Methodsmentioning

confidence: 99%

Evolution of accelerometer methods for physical activity research

et al. 2014

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“…25,26 Furthermore, accelerometers can be inaccurate in distinguishing sitting from standing, 14 although those that include inclinometers could mitigate this concern. New analytic techniques are being developed that identify, analyze, and visually present sedentary behaviors from wristworn triaxial accelerometers 28 and that are capable of assessing posture by including inclinometers. [29][30][31][32][33] Other methods in development include inclinometers that are combined with cameras to assess body position and estimate sedentary behavior.…”

Section: Self-report Assessmentsmentioning

confidence: 99%

Sedentary Behavior and Cardiovascular Morbidity and Mortality: A Science Advisory From the American Heart Association

et al. 2016

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Epidemiological evidence is accumulating that indicates greater time spent in sedentary behavior is associated with all-cause and cardiovascular morbidity and mortality in adults such that some countries have disseminated broad guidelines that recommend minimizing sedentary behaviors. Research examining the possible deleterious consequences of excess sedentary behavior is rapidly evolving, with the epidemiologybased literature ahead of potential biological mechanisms that might explain the observed associations. This American Heart Association science advisory reviews the current evidence on sedentary behavior in terms of assessment methods, population prevalence, determinants, associations with cardiovascular disease incidence and mortality, potential underlying mechanisms, and interventions. Recommendations for future research on this emerging cardiovascular health topic are included. Further evidence is required to better inform public health interventions and future quantitative guidelines on sedentary behavior and cardiovascular health outcomes. E vidence is accumulating that sedentary behavior might be associated with increased cardiovascular-specific and overall mortality. Insufficient physical activity predicts premature cardiovascular disease (CVD) mortality and disease burden, such that the United States and other developed countries have issued physical activity guidelines, but these guidelines are specific to physical activity and do not include sedentary behavior.1 Sedentary behavior guidelines to reduce the risk of chronic diseases for adults have been developed in some countries, but they are broadly stated and nonquantitative. For example, Australia and the United Kingdom have public health guidelines stating that adults should minimize the amount of time spent being sedentary (sitting) for extended periods.2,3 Such broad public health guidelines for adults are likely appropriate, because evidence is still accumulating regarding the strength of the association, the evidence for causation (including understanding mechanisms), and the support for dose-response relationships that demonstrate sedentary behavior to be an independent risk factor for adverse health outcomes. Although at one time, excess sedentary behavior was considered to be at one end of the continuum of physical activity such that a person with no moderateto-vigorous physical activity (MVPA) was considered "sedentary," consensus is building that sedentary behavior is distinct from lack of MVPA. Even the word "sedentary," derived from the Latin "sedentarius" and defined as "sitting, remaining in one place," connotes a different set of behaviors than non-MVPA. 4 Thus, researchers studying MVPA, physical inactivity, and sedentary behavior are now viewing these behaviors as separate entities with their own unique determinants and health consequences. CLiniCAL STATEMEnTS And GUidELinESThis American Heart Association science advisory summarizes the existing evidence about sedentary behavior as a potential risk factor for CVD and...

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“…Most studies classify SB as ≤1.5 metabolic equivalent tasks (METs) (Ainsworth et al 2000;Owen et al 2010;Pate et al 2008;Rowlands et al 2013;Tremblay et al 2010); however, certain light intensity physical activities (LIPAs) (standing) can elicit similar MET values (Ainsworth et al 2000). 'Sedentary' originates from 'sedere', Latin for 'to sit'.…”

Section: Defining Sedentary Behaviourmentioning

confidence: 99%

The emergence of sedentary behaviour physiology and its effects on the cardiometabolic profile in young and older adults

Ryan

Stebbings

Onambélé

2015

AGE

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It has recently emerged that sedentary behaviour is independent of a lack of physical activity as individuals can be sufficiently active, based on the recommended physical activity guidelines, but also spend the majority of their waking hours engaging in sedentary behaviour. Individuals who follow this pattern of physical activity and sedentary behaviour are known as 'active couch potatoes'. Sedentary behaviour has been found to have detrimental effects on cardiometabolic markers associated with cardiovascular disease. Since the positive effects of moderate-to-vigorous intensity physical activity do not necessarily negate the deleterious effects of sedentary behaviour on cardiometabolic markers, it is postulated that engaging in light physical activity is an intervention that will successfully reduce levels of sedentary behaviour and may hence improve health markers of quality of life. We propose that such lifestyle changes may be particularly relevant to older populations as these engage in sedentary behaviour for the majority of their waking hours, thereby adding to the negative aging effect on cardiometabolic markers.

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Assessing Sedentary Behavior with the GENEActiv

Abstract: The Sedentary Sphere enables determination of the most likely posture from the wrist-worn GENEActiv. Visualizing behaviors on the sphere displays the pattern of wrist movement and positions within that behavior.

Cited by 106 publications

References 30 publications

Evolution of accelerometer methods for physical activity research

Evolution of accelerometer methods for physical activity research

Sedentary Behavior and Cardiovascular Morbidity and Mortality: A Science Advisory From the American Heart Association

The emergence of sedentary behaviour physiology and its effects on the cardiometabolic profile in young and older adults

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