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Open Access Methodology

Combined influence of epoch length, cut-point and bout duration on accelerometry-derived physical activity

Mark Orme12, Katrien Wijndaele1, Stephen J Sharp1, Kate Westgate1, Ulf Ekelund13 and Soren Brage1*

Author Affiliations

1 Medical Research Council Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Addenbrookes Hospital, Box 285, Cambridge, CB2 0QQ, UK

2 School of Sport, Exercise and Health Sciences, Loughborough University, Leicestershire, UK

3 Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway

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International Journal of Behavioral Nutrition and Physical Activity 2014, 11:34  doi:10.1186/1479-5868-11-34

Published: 10 March 2014

Abstract

Background

It is difficult to compare accelerometer-derived estimates of moderate-to-vigorous physical activity (MVPA) between studies due to differences in data processing procedures. We aimed to evaluate the effects of accelerometer processing options on total and bout-accumulated time spent in MVPA in adults.

Methods

267 participants from the ProActive Trial provided 1236 days of valid physical activity (PA) data, collected using a 5-s epoch with ActiGraph GT1M accelerometers. We integrated data over 5-s to 60-s epoch lengths (EL) and applied two-level mixed effects regression models to MVPA time, defined using 1500 to 2500 counts/minute (cpm) cut-points (CP) and bout durations (BD) from 1 to 15 min.

Results

Total MVPA time was lower on longer EL and higher CP (47 vs 26 min/day and 26 vs 5 min/day on 1500 vs 2500 cpm on 5-s and 60-s epoch, respectively); this could be approximated as MVPA = exp[2.197 + 0.279*log(CP) + 6.120*log(EL) - 0.869*log(CP)*log(EL)] with an 800 min/day wear-time. In contrast, EL was positively associated with time spent in bout-accumulated MVPA; the approximating equation being MVPA = exp[54.679 - 6.268*log(CP) + 6.387*log(EL) - 10.000*log(BD) - 0.162*log(EL)*log(BD) - 0.626*log(CP)*log(EL) + 1.033*log(CP)*log(BD)]. BD and CP were inversely associated with MVPA, with higher values attenuating the influence of EL.

Conclusions

EL, CP and BD interact to influence estimates of accelerometer-determined MVPA. In general, higher CP and longer BD result in lower MVPA but the direction of association for EL depends on BD. Reporting scaling coefficients for these key parameters across their frequently used ranges would facilitate comparisons of population-level accelerometry estimates of MVPA.

Keywords:
Moderate-to-vigorous; Adults; Measurement; Wear-time; Actigraph; Objective