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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.