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. 2017 May 22;7:2227. doi: 10.1038/s41598-017-01092-w

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.