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 |
