Abstract

We used Bland Altman plots to compare agreement between a self-report diary and five different non-wear time algorithms [an algorithm that uses ≥60 min of consecutive zeroes (Troiano) and four variations of an algorithm that uses ≥90 min of consecutive zeroes to define a non-wear period] for estimating community-dwelling older adults’ (n = 106) sedentary behaviour and wear time (min/day) as measured by accelerometry. We found that the Troiano algorithm may overestimate sedentary behaviour and wear time by ≥30 min/day. Algorithms that use ≥90 min of continuous zeroes more closely approximate participants’ sedentary behaviour and wear time. Across the self-report diary vs. ≥90 min algorithm comparisons, mean differences ranged between −4.4 to 8.1 min/day for estimates of sedentary behaviour and between −10.8 to 1.0 min/day for estimates of wear time; all 95% confidence intervals for mean differences crossed zero. We also found that 95% limits of agreement were wide for all comparisons, highlighting the large variation in estimates of sedentary behaviour and wear time. Given the importance of reducing sedentary behaviour and encouraging physical activity for older adult health, we conclude that it is critical to establish accurate approaches for measurement.

Details

Title
Are we missing the sitting? Agreement between accelerometer non-wear time validation methods used with older adults’ data
Author
Chudyk, Anna M 1   VIAFID ORCID Logo  ; McAllister, Megan M 1 ; Hiu Kan Cheung 2 ; McKay, Heather A 1 ; Ashe, Maureen C 1 

 Centre for Hip Health and Mobility, 2635 Laurel Street, Vancouver, British Columbia, Canada V5Z 1M9; Department of Family Practice, The University of British Columbia, 310 - 5950 University Blvd, Vancouver, British Columbia, Canada V6T 1Z3 
 Centre for Hip Health and Mobility, 2635 Laurel Street, Vancouver, British Columbia, Canada V5Z 1M9 
Publication year
2017
Publication date
Dec 2017
Publisher
Taylor & Francis Ltd.
e-ISSN
2331205X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2013727074
Copyright
© 2017 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.