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176 Results for: "Validation"

Daily physical activity patterns from hip- and wrist-worn accelerometers

  • Published on Sep 21, 2016

Accelerometer wear location may influence physical activity estimates. This study investigates this relationship through the examination of activity patterns throughout the day. Participants from the aging research evaluating accelerometry (AREA) study (n men  =  37, n women  =  47, mean age (SD)  =  78.9 (5.5) years) were ...


Comparison of Sedentary Estimates between activPAL and Hip- and Wrist-Worn ActiGraph.

  • Published on Aug 2016

Purpose: Sedentary behavior is an emerging independent health risk factor. The accuracy of measuring sedentary time using accelerometers may depend on the wear location. This study in older adults evaluated the accuracy of various hip- and wrist-worn ActiGraph accelerometer cutoff points to define sedentary time using the activPAL as the ...


Criterion Validity of Consumer and Research Grade Activity Monitors During Brief, Intermittent Walking Bouts

  • Published on Jun 21, 2017

Introduction: To avoid counting movement artifacts as steps, some activity monitors require several consecutive seconds of stepping before steps are retroactively counted towards the total step accumulation. Purpose: To study how algorithms in different activity monitors affect the number of steps recorded during brief, intermittent walking bouts when the walking ...


Accelerometer Data Collection and Processing Criteria to Assess Physical Activity and Other Outcomes: A Systematic Review and Practical Considerations

  • Published on March 16, 2017

Background: Accelerometers are widely used to measure sedentary time, physical activity, physical activity energy expenditure (PAEE), and sleep-related behaviors, with the ActiGraph being the most frequently used brand by researchers. However, data collection and processing criteria have evolved in a myriad of ways out of the need to answer unique ...


Validity of an Integrative Method for Processing Physical Activity Data

  • Published on March 25, 2016

Accurate assessments of both physical activity and sedentary behaviors are crucial to understand the health consequences of movement patterns and to track changes over time and in response to interventions. Purpose: The study evaluates the validity of an integrative, machine-learning method for processing activity monitor data in relation to a ...


Validity of a two-item physical activity questionnaire for assessing attainment of physical activity guidelines in youth

  • Published on Oct. 23, 2015

Background: As physical activity is important for health and well-being, it is essential to monitor population prevalence of physical activity. Surveillance is dependent on the use of valid and reliable measurement tools. The PACE+ questionnaire is used globally in youth and has acceptable reliability; however it has not been validated ...


GT3X+ accelerometer placement affects the reliability of step-counts measured during running and pedal-revolution counts measured during bicycling

  • Published on Oct. 21, 2015

Background: Accelerometers provide a measure of step-count. Reliability and validity of step-count and pedal-revolution count measurements by the GT3X+ accelerometer, placed at different anatomical locations, is absent in the literature. The purpose of this study was to investigate the reliability and validity of step and pedal-revolution counts produced by ...


24 Hours of Sleep, Sedentary Behavior, and Physical Activity with Nine Wearable Devices.

  • Published on Oct. 17, 2015

Background: Getting enough sleep, exercising and limiting sedentary activities can greatly contribute to disease prevention and overall health and longevity. Measuring the full 24-hour activity cycle - sleep, sedentary behavior (SED), light intensity physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) - may now be feasible using small wearable devices. ...


Isolating out-of-bed wear from non-wear and in-bed wear periods in young adults hip-worn accelerometer data (continuous wear protocol)

  • Presented on 2015

Background: The published literature shows no automated method valid for isolating adults out-of-bed wear in continuously worn (24h/day) accelerometer data. We developed an automated algorithm (AA) for continuous hip-worn protocol Actigraph (GT3X+) data that separates out-of-bed wear from in-bed wear and non-wear periods. Methods: In 95 participants of the ...


Comparing objective measures of activity in the women health initiative study

  • Presented on 2015

Purpose: The study aims were: 1) to propose an improved version of Activity Intensity (AI) to summarize raw tri-axial accelerometry data; 2) to compare AI and Activity Count (AC) with regard to distinguishing between different activities and predicting energy expenditure. Methods: 200 postmenopausal women performed 9 lifestyle activities in the laboratory, each wearing an ...