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BMC Public Health. 2018 Apr 20;18(1):530. doi: 10.1186/s12889-018-5415-8.

Variability and reliability study of overall physical activity and activity intensity levels using 24 h-accelerometry-assessed data.

Author information

1
Molecular Epidemiology Group, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Roessle-Strasse 10, 13125, Berlin, Germany.
2
Molecular Epidemiology Group, Max Delbrueck Center for Molecular Medicine in the Helmholtz Association (MDC), Robert-Roessle-Strasse 10, 13125, Berlin, Germany. tobias.pischon@mdc-berlin.de.
3
Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany. tobias.pischon@mdc-berlin.de.
4
DZHK (German Center for Cardiovascular Research), partner site Berlin, Oudenarder Strasse 16, 13347, Berlin, Germany. tobias.pischon@mdc-berlin.de.

Abstract

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.

KEYWORDS:

Accelerometry; Habitual physical activity; Intensities; Observational time; Reliability; Variability

PMID:
29678152
PMCID:
PMC5910625
DOI:
10.1186/s12889-018-5415-8
[Indexed for MEDLINE]
Free PMC Article

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