The feasibility of using sensecams to measure the type and context of daily sedentary behaviors

Marinac, Catherine, Merchant, Gina, Godbole, Suneeta, Chen, Jacqueline, Kerr, Jacqueline, Clark, Bronwyn and Marshall, Simon (2013). The feasibility of using sensecams to measure the type and context of daily sedentary behaviors. In: Jacqueline Kerr, SenseCam 2013 - Proceedings of the 4th SenseCam and Pervasive Imaging 2013 Conference, in Cooperation with ACM and SIGCHI. 4th International SenseCam and Pervasive Imaging Conference, SenseCam 2013, San Diego, CA, United States, (42-49). 18-19 November 2013. doi:10.1145/2526667.2526674

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Author Marinac, Catherine
Merchant, Gina
Godbole, Suneeta
Chen, Jacqueline
Kerr, Jacqueline
Clark, Bronwyn
Marshall, Simon
Title of paper The feasibility of using sensecams to measure the type and context of daily sedentary behaviors
Conference name 4th International SenseCam and Pervasive Imaging Conference, SenseCam 2013
Conference location San Diego, CA, United States
Conference dates 18-19 November 2013
Proceedings title SenseCam 2013 - Proceedings of the 4th SenseCam and Pervasive Imaging 2013 Conference, in Cooperation with ACM and SIGCHI
Journal name ACM International Conference Proceeding Series
Series ACM International Conference Proceeding Series
Place of Publication New York, NY, United States
Publisher ACM
Publication Year 2013
Sub-type Fully published paper
DOI 10.1145/2526667.2526674
ISBN 9781450322478
Editor Jacqueline Kerr
Start page 42
End page 49
Total pages 8
Collection year 2014
Abstract/Summary The SenseCam data can be used to estimate time spent in specific episodes of sedentary behaviors, as well as some dimensions of sedentary behaviors. However, it is unknown whether SenseCam data can be aggregated to provide an objective estimate of total sedentary time accumulated during a single day. We compared SenseCam-derived day-level estimates to self-report estimates of time spent in sedentary behaviors using 39 days of concurrent SenseCam and self-report data from a sample of university employed adults (age 18-70 years). We also examined whether SenseCam data can be used to compute day-level estimates of specific dimensions of sedentary behavior (e.g., co-occurring sedentary behaviors and social context). Twenty-four percent of the days of SenseCam image data collected did not have enough image data (i.e., ≥8 hours of data) to generate day-level estimates. Further, the day-level agreement between the SenseCam and self-report estimates of time spent in sedentary behaviors varied considerably by device wear time. In terms of dimensions of sedentary behaviors measured by the SenseCam, over one-third of the total sedentary time involved a social interaction and the majority (71%) of the estimated sedentary time was spent in one behavior. Overall, SenseCam data can be used to compute day-level estimates of time spent in specific episodes of sedentary behaviors and the images provide data on critical dimensions of these behaviors; however, device wear-time significantly influences the accuracy of day-level estimates.
Keyword Camera
Measurement
Monitoring
Objective behavioral assessment
Sitting
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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