Molecular Epidemiology Group, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Roessle-Strasse 10, 13125 Berlin, Germany
Our office will remain closed through Friday, September 18th as we continue to assess the damages caused by Hurricane Sally. ActiGraph team members are working remotely, however shipping delays should be expected at this time. We expect to resume regular business hours on Monday, September 21st. If you need immediate assistance, please contact us by email at firstname.lastname@example.org and we will respond as quickly as possible. Thank you for your continued support.
Variability and reliability study of overall physical activity and activity intensity levels using 24 h-accelerometry-assessed data
- Published on Apr 2018
Background: 24 h-accelerometry is now used to objectively assess physical activity (PA) in many observational studies like the German National Cohort; however, PA variability, observational time needed to estimate habitual PA, and reliability are unclear.
Methods: We assessed 24 h-PA of 50 participants using triaxial accelerometers (ActiGraph GT3X+) over 2 weeks. Variability of overall PA and different PA intensities (time in inactivity and in low intensity, moderate, vigorous, and very vigorous PA) between days of assessment or days of the week was quantified using linear mixed-effects and random effects models. We calculated the required number of days to estimate PA, and calculated PA reliability using intraclass correlation coefficients.
Results: Between- and within-person variance accounted for 34.4–45.5% and 54.5–65.6%, respectively, of total variance in overall PA and PA intensities over the 2 weeks. Overall PA and times in low intensity, moderate, and vigorous PA decreased slightly over the first 3 days of assessment. Overall PA (p = 0.03), time in inactivity (p = 0.003), in low intensity PA (p = 0.001), in moderate PA (p = 0.02), and in vigorous PA (p = 0.04) slightly differed between days of the week, being highest on Wednesday and Friday and lowest on Sunday and Monday, with apparent differences between Saturday and Sunday. In nested random models, the day of the week accounted for < 19% of total variance in the PA parameters. On average, the required number of days to estimate habitual PA was around 1 week, being 7 for overall PA and ranging from 6 to 9 for the PA intensities. Week-to-week reliability was good (intraclass correlation coefficients, range, 0.68–0.82).
Conclusions: Individual PA, as assessed using 24 h-accelerometry, is highly variable between days, but the day of assessment or the day of the week explain only small parts of this variance. Our data indicate that 1 week of assessment is necessary for reliable estimation of habitual PA.
- Lina Jaeschke 1
- Astrid Steinbrecher 1
- Stephanie Jeran 1
- Stefan Konigorski 1
- Tobias Pischon 1, 2, 3
Charité – Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
DZHK (German Center for Cardiovascular Research), partner site Berlin, Oudenarder Strasse 16, 13347 Berlin, Germany
BMC Public Health