<p><sup>a</sup> Data are mean (SD), % (n) or median (25<sup>th</sup>, 75<sup>th</sup> percentile).</p><p><sup>b</sup> ActiGraph GT1M accelerometer data, 60-second epochs, count per minute thresholds applied (<100 = sedentary/ 100 to <1952 = light / ≥1952 = moderate to vigorous), not adjusted for accelerometer wear time.</p><p>Socio-demographic, clinical, and accelerometer derived activity characteristics of participants (n = 279).</p
PURPOSE: The physical activity profile can be described from accelerometer data using two population...
Background. Comparability of accelerometers in epidemiological studies is important for public healt...
Various accelerometers have been used in research measuring physical activity (PA) and sedentary beh...
Accelerometer wear time and accelerometer-measured physical activity and sedentary behavior in nonag...
Processing decisions for accelerometry data can have important implications for outcome measures, ye...
Accelerometer-based activity monitors are widely used in research and surveillance applications for ...
The present study aims to describe accelerometer-assessed physical activity (PA) patterns and fulfil...
The present study aims to describe accelerometer-assessed physical activity (PA) patterns and fulfil...
The correlation between objective and self-reported measures of physical activity varies between stu...
The present study aims to describe accelerometer-assessed physical activity (PA) patterns and fulfil...
Background: The overall benefits of physical activity for health are well documented. However, more ...
Objectives: Our aim is to demonstrate how a data-driven accelerometer metric, the acceleration above...
<p>SD, standard deviation; SES, socioeconomic status.</p><p>Wear time at follow-up (mean ± SD) min/d...
Background: Accelerometer output may be semi-continuous or continuous in nature, which has implicati...
<p>Associations of Accelerometer Determined Sedentary Behavior Measures with Health Outcomes across ...
PURPOSE: The physical activity profile can be described from accelerometer data using two population...
Background. Comparability of accelerometers in epidemiological studies is important for public healt...
Various accelerometers have been used in research measuring physical activity (PA) and sedentary beh...
Accelerometer wear time and accelerometer-measured physical activity and sedentary behavior in nonag...
Processing decisions for accelerometry data can have important implications for outcome measures, ye...
Accelerometer-based activity monitors are widely used in research and surveillance applications for ...
The present study aims to describe accelerometer-assessed physical activity (PA) patterns and fulfil...
The present study aims to describe accelerometer-assessed physical activity (PA) patterns and fulfil...
The correlation between objective and self-reported measures of physical activity varies between stu...
The present study aims to describe accelerometer-assessed physical activity (PA) patterns and fulfil...
Background: The overall benefits of physical activity for health are well documented. However, more ...
Objectives: Our aim is to demonstrate how a data-driven accelerometer metric, the acceleration above...
<p>SD, standard deviation; SES, socioeconomic status.</p><p>Wear time at follow-up (mean ± SD) min/d...
Background: Accelerometer output may be semi-continuous or continuous in nature, which has implicati...
<p>Associations of Accelerometer Determined Sedentary Behavior Measures with Health Outcomes across ...
PURPOSE: The physical activity profile can be described from accelerometer data using two population...
Background. Comparability of accelerometers in epidemiological studies is important for public healt...
Various accelerometers have been used in research measuring physical activity (PA) and sedentary beh...