Hi Vincent,
Thank you kindly for your response and the explanations provided.
I understand now regarding the sleep diary. For this person the 30/10 was the last accelerometer wear day and thus they didn't wear it on the 31/10 which is why there was no wake-up time for the 31/10.
With your advice, I imputed wake-up/sleep onset times the day before the first wear day and the day after the last wear day and the sleep log was used as the guider. When I did this one less day was valid in part 5 which looks to be an accurate classification.
I noticed that for most participants in my sample when NotWorn was used as the guider for the first wake-up and last sleep onset this matched that of the sleep log but perhaps it could be wise to impute values in order to use the sleep log for all days and for example like this were there was a mismatch.
Thank you for highlighting this.
With regard to the visualisation, participants were not instructed to wear the accelerometer during the night so this non-wear time can be expected.
I'm assuming that the dark blue (no movement sib daytime) indicates non-wear during the day? (I've struggled to find information for the outputs for the new file summary report)
And yes the acceleration signals indicate that there was not much movement during these days and the Part 5 results suggests that large proportions of these days were spent inactive.
I wonder, given that output for 5 days in part 5 was produced, with dur_day_min all over 600 mins, using the 2/3 waking day criteria, could these days be considered as very inactive rather than not-worn?
However, this participant did have one of the lowest ACC_day_mg_pre = 8 - averaged over the days, so perhaps there should be a cut off for outliers that have extremely low movement...
Any further advice on this would be most appreciated and thanks again for the advice thus far.
(Attached is the new file summary report for clarity)