Table 2.

Summary of non-wear in wellness study according to different methods of detection.

	Median	Mean ± SD	Range	Median Excluding Missing Data)	Mean/SD (Excluding Missing Data)	Range (Excluding Missing Data)
Participant-level statistics (Aggregated per Participant) (n = 95 participants)
% Non-wear: GT9X-Link Wear Sensor	13.04	16.32 ± 11.40	0–55.44	17.90	22.39 ± 16.16	3.83–86.19
% Non-wear: Choi	9.66	13.78 ± 12.71	0–56.60	12.78	20.28 ± 19.21	0.94–85.54
% Non-wear: Troiano	12.34	16.62 ± 12.79	0–58.64	18.63	23.67 ± 18.94	1.58–86.39
% Non-wear: van Hees	7.11	12.43 ± 12.62	0–55.35	9.04	18.56 ± 19.29	0.52–85.53
% Non-wear: Majority algorithm	7.79	12.50 ± 12.46	0–55.75	9.71	18.63 ± 19.06	0.80–85.66
% Non-wear: Majority algorithm (3)	8.41	12.73 ± 12.54	0 – 55.97	9.82	18.95 ± 19.20	0.80–85.74
Day-level statistics (Aggregated Across Entire Study) (n = 31,175)
% Non-wear: : GT9X-Link Wear Sensor	0.90	16.29 ± 28.85	0–100	3.19	20.08 ± 31.00	0–100
% Non-wear: Choi	0.00	13.86 ± 26.65	0–100	0.00	17.03 ± 28.78	0–100
% Non-wear: Troiano	4.86	16.74 ± 26.65	0–100	8.13	20.53 ± 28.34	0–100
% Non-wear: van Hees	0.00	12.55 ± 26.98	0–100	0.00	15.42 ± 29.32	0–100
% Non-wear: Majority algorithm	0.00	12.58 ± 26.24	0–100	0.00	15.48 ± 28.47	0–100
% Non-wear: Majority algorithm (3)	0.00	12.82 ± 26.60	0–100	0.00	15.77 ± 28.85	0–100