Dr Alex Clarke-Cornwell A.M.Clarke-Cornwell@salford.ac.uk
Associate Professor/Reader
Dr Alex Clarke-Cornwell A.M.Clarke-Cornwell@salford.ac.uk
Associate Professor/Reader
TM Farragher
Prof Penny Cook P.A.Cook@salford.ac.uk
Professor of Public Health
Prof Malcolm Granat M.H.Granat@salford.ac.uk
Professor
Sedentary behaviour (SB) is associated with a number of adverse health outcomes. Studies that have used ActiGraph monitors to define sedentary time tend to use a threshold of <100 counts per minute (cpm) for classifying SB; however, this cut-point was not empirically derived for adults. It is not known whether ActiGraph cut-points for SB differ depending on the context in which it occurs. We aimed to: (1) empirically derive an optimal threshold for classifying SB, using the cpm output from the ActiGraph GT3X+, compared to the sedentary classification from the activPAL3™; and (2) ascertain whether this varied by day of the week and in working time versus non-working time.
A convenience sample of 30 office-based university employees (females (66.67%); age 40.47 ± 10.95 years; BMI 23.93 ± 2.46 kg m−2) wore the ActiGraph GT3X+ and activPAL3™ devices simultaneously for seven days. Data were downloaded in 1 min epochs and non-wear time was removed. Generalised estimating equations were used to make minute by minute comparisons of sedentary time from the two devices, using sedentary minutes (when all 60 s were classified as sitting/lying) from the activPAL3™ as the criterion measure.
After data reduction participants provided on average 11 h 27 min of data per day. The derived cut-points from the models were significantly higher on a Saturday (97 cpm) compared to weekdays (60 cpm) and Sunday (57 cpm). Derived cpm for sedentary time during working time were significantly lower compared to non-working time (35 (95%CI 30–41) versus 73 (54–113)). Compared to the 100 cpm and 150 cpm thresholds, the empirically derived cut-points were not significantly different in terms of area-under-the-curve, but had lower mean bias for working and non-working times.
Accelerometer cut-points for SB can depend on day and also domain, suggesting that the nature of sitting differs depending on the context in which sedentary time is accrued.
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 21, 2016 |
Online Publication Date | Sep 21, 2016 |
Publication Date | Oct 1, 2016 |
Deposit Date | Sep 26, 2016 |
Publicly Available Date | Sep 21, 2017 |
Journal | Physiological Measurement |
Print ISSN | 0967-3334 |
Electronic ISSN | 1361-6579 |
Publisher | IOP Publishing |
Volume | 37 |
Issue | 10 |
Pages | 1669-1685 |
DOI | https://doi.org/10.1088/0967-3334/37/10/1669 |
Publisher URL | http://iopscience.iop.org/0967-3334/37/10/1669 |
Related Public URLs | http://iopscience.iop.org/article/10.1088/0967-3334/37/10/1669/pdf |
icampam2015_pm_focus_issue_clarke-cornwell_accepted manuscript.pdf
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