Table 1.
Descriptive data of the studied population.
The 95% CI is based on bootstrapped estimates (k = 2000) and the p-values are from an independent samples t-test.
Fig 1.
Histograms depicting the bootstrapped (k = 2000) estimates of number of days needed to with 95% confidence be within 20% of the habitual level of physical activity of an individual at different intensities.
Table 2.
Based on the bootstrapped estimates, the number of days that are required to identify between 50% and 95% of the sample within 5–50% of their habitual level of physical activity is shown.
E.g. to capture the sedentary activity of at least 80% of the sample to a level of precision of ±20% of their habitual level of sedentary behavior, 3.4 days of monitoring is needed. Mean refers to the estimated mean level of habitual physical activity based on the within-subject variation.
Fig 2.
The association between the amount of physical activity at different intensities and the CVw as illustrated by a scatter plot with the regression line and its 95% CI (the shaded area).
Fig 3.
The theoretical number of days needed to monitor an individual, assuming a within-subject coefficient of variation (CVw) of between 10% and 100% to be within ± 20% of the level of an individual’s habitual physical activity 70–95% of the time.