Table 2.
Sensitivity and specificity: NWT algorithms >60 to >180 minutes using accelerometry versus diary.
NWT algorithma | ActivE study (N = 47) | KORA FF4 study (N = 559) | ||||||
---|---|---|---|---|---|---|---|---|
number of NWT periods | sensitivityb | specificityb | number of NWT periods | sensitivityb | specificityb | |||
diary | accelerometry | diary | accelerometry | |||||
total time of assessment c | ||||||||
>60 min | 50 | 378 | 0.72 | 0.00 | 476 | 1,535 | 0.64 | 0.08 |
>90 min | 25 | 81 | 0.80 | 0.16 | 269 | 420 | 0.70 | 0.57 |
>120 min | 18 | 34 | 0.83 | 0.54 | 199 | 284 | 0.76 | 0.74 |
>150 min | 11 | 17 | 0.82 | 0.78 | 156 | 223 | 0.72 | 0.79 |
>180 min | 8 | 10 | 0.88 | 0.92 | 134 | 192 | 0.72 | 0.82 |
waking d | ||||||||
>60 min | 47 | 75 | 0.70 | 0.93 | 369 | 531 | 0.65 | 0.91 |
>90 min | 22 | 34 | 0.76 | 0.97 | 214 | 257 | 0.70 | 0.97 |
>120 min | 14 | 17 | 0.71 | 0.99 | 145 | 178 | 0.76 | 0.98 |
>150 min | 7 | 8 | 0.57 | 0.99 | 112 | 132 | 0.68 | 0.98 |
>180 min | 3 | 3 | 0.67 | 1.00 | 91 | 108 | 0.68 | 0.99 |
sleeping d | ||||||||
>60 min | 3 | 299 | 1.00 | 0.59 | 22 | 868 | 0.90 | 0.77 |
>90 min | 3 | 44 | 1.00 | 0.94 | 21 | 130 | 0.86 | 0.97 |
>120 min | 3 | 16 | 1.00 | 0.98 | 21 | 81 | 0.86 | 0.98 |
>150 min | 3 | 9 | 1.00 | 0.99 | 21 | 75 | 0.86 | 0.98 |
>180 min | 3 | 6 | 1.00 | 1.00 | 20 | 66 | 0.85 | 0.99 |
NWT, non-wear time.
aAlgorithms were applied to diary and accelerometry data to check for self-reported NWT periods >60, >90, >120, >150, and >180 minutes or NWT periods based on consecutive acceleration zero-counts >60, >90, >120, >150, and >180 minutes, respectively.
bPeriods with an overlap between NWT according to diary and accelerometry of ≥50% were included in this analysis; number of epochs with an overlap of <50% was: in ActivE, waking, 90-min algorithm: 1; in KORA FF4, total time, 60- to 180-min algorithm: 30, 7, 8, 5, and 4, respectively; in KORA FF4, waking, 60- to 180-min algorithm: 14, 4, 5, 2, and 1, respectively; in KORA FF4, sleeping, 60-min algorithm: 1.
cAnalyses were conducted from the first to the last recorded time point of assessment in the diary.
dWaking and sleeping phases were derived from participants’ diary entries.
bold: algorithms showing high sensitivity and specificity in ActivE and KORA FF4, respectively.