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Table 2 Results of visual inspection of 169 accelerometer signals—agreement levels between two independent raters

From: Development and application of an automated algorithm to identify a window of consecutive days of accelerometer wear for large-scale studies

  Day accelerometer was put on Day accelerometer was taken off 1st day of wear window Last day of wear window Day that is day 1 in the log Average overall agreement across all items
N (%) N (%) N (%) N (%) N (%) N (%)
Agree 160 (95) 147 (87) 152 (90) 151 (89) 158 (94) 152 (90)
Disagree—no to little impact on dataa 7 (4) 20 (12) 14 (8) 16 (9) 9 (5) 14 (8)
Disagree—major impact on datab 2 (1) 2 (1) 3 (2) 2 (1) 2 (1) 2 (1)
  1. aWindow of consecutive days of wear for analysis differed by 0–1 day between raters.
  2. bWindow of consecutive days of wear for analysis differed by 2 or more days between raters.
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