Table 2.
Agreement between non-wear time criteria for estimates of sedentary behaviour and wear time (min/day)
| Comparisona | Sedentary behaviour | Wear time | ||
|---|---|---|---|---|
| Mean differences (95% CI) | 95% Limits of agreement | Mean differences (95% CI) | 95% Limits of agreement | |
| Diary vs. Troiano | 37.5 (25.7, 49.3) | −84.6, 159.6 | 30.0 (18.2, 41.8) | −92.4, 152.5 |
| Diary vs. Choi | 5.8 (−4.4, 16.0) | −100.2, 111.8 | −1.3 (−12.0, 9.3) | −111.7, 109.0 |
| Diary vs. Algorithm 4 | −4.4 (−14.6, 5.8) | −110.5, 101.8 | −10.8 (−21.4, −0.2) | −120.9, 99.2 |
| Diary vs. Algorithm 5 | 5.5 (−4.9, 15.9) | −103.0, 114.0 | −1.5 (−12.2, 9.3) | −113.1, 110.1 |
| Diary vs. Algorithm 6 | 8.1 (−2.3, 18.5) | −100.2, 116.4 | 1.0 (−9.7, 11.7) | −110.0, 112.0 |
Diary: We used participants’ self-report diaries to identify non-wear time (>10 min); Troiano: We considered ≥60 min of continuous zeroes, while allowing for up to 2 min of counts ≤100 counts as non-wear time (Troiano et al., 2008); Choi: We considered ≥90 min of consecutive zeroes, while allowing for up to 2 min of non-zero counts if the interruption was accompanied by 30 consecutive minutes of 0 counts either upstream or downstream (Choi, et al., 2011); Algorithm 4: We considered ≥90 min of continuous zeroes, without any allowances for interruptions, as non-wear time; Algorithm 5: We considered ≥90 min of continuous zeroes, while allowing for up to 2 min of counts ≥50 counts as non-wear time; Algorithm 6: We considered ≥90 min of continuous zeroes, while allowing for up to 2 min of counts ≥100 counts as non-wear time.