Picture of person typing on laptop with programming code visible on the laptop screen

World class computing and information science research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

Explore

Measuring free-living physical activity in COPD patients : Deriving methodology standards for clinical trials through a review of research studies

Byrom, Bill and Rowe, David A. (2016) Measuring free-living physical activity in COPD patients : Deriving methodology standards for clinical trials through a review of research studies. Contemporary Clinical Trials, 47. pp. 172-184. ISSN 1551-7144

[img]
Preview
Text (Byrom-Rowe-CCT2016-measuring-free-living-physical-activity-in-copd-patients)
Byrom_Rowe_CCT2016_measuring_free_living_physical_activity_in_copd_patients.pdf - Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (1MB) | Preview

Abstract

This article presents a review of the research literature to identify the methodology used and outcome measures derived in the use of accelerometers to measure free-living activity in patients with COPD. Using this and existing empirical validity evidence we further identify standards for use, and recommended clinical outcome measures from continuous accelerometer data to describe pertinent measures of sedentary behaviour and physical activity in this and similar patient populations. We provide measures of the strength of evidence to support our recommendations and identify areas requiring continued research. Our findings support the use of accelerometry in clinical trials to understand and measure treatment-related changes in free-living physical activity and sedentary behaviour in patient populations with limited activity.