Hi all,
I have collected geneactiv data from patients that worn the watch for 7 days.
In the GGIR script (version 3.1.0) part 2 and 4, I used includedaycrit = 16, to define the number of minimum valid hours in a day to attempt physical activity (part 2) and sleep (part 4) analysis.
In the daysum file, it still contains patients with days that consists of 100% nonwear (nonwear_perc_day_spt). These days therefore have less than the defined 16 hours / day to attempt PA and sleep analysis, I would guess.
Question 1: How is it possible that these days were not filtered out of the dataset by the ' includedaycrit = 16' criteria?
Question 2: does this mean that for patients with less than 16 hours a day, the physical activity and sleep characteristics are based on imputed data?
Question 3: are there any recommendation to set a filter for minimal % wear to indicate a valid day for physical activity measures? I can imagine that if nonwear_perc_day = >90% it might be preferable to not include this day in your analysis(for example to calculate the mean parameters per week) for physical activity, but if nonwear_perc_day is ~20% is would be preferable to include this day and make use of the imputations to indicate PA levels during that day.
For non-wear during the nights, I would guess that filtering on 'cleaningcode < 2 ' would be sufficient.
Thank you in advance!
Kind regards,
Julia