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Table 2 Comparison of daily log sheet and automated algorithms a in classifying estimated number of compliant days b , daily wear time, and bouts of nonwear

From: Identifying accelerometer nonwear and wear time in older adults

 

Daily log Sheet

60-min

90-min

120-min

150-min

180-min

Wear time (min/day); Mean ± SD

851 ± 159

767 ± 199

808 ± 192

827 ± 190

837 ± 189

843 ± 188

Absolute difference wear time (min/day);

 

113 ± 152

85 ± 142

74 ± 140

71 ± 140

70 ± 140

Mean ± SD

      

Root-mean-square difference (min/day)

 

189

166

158

157

156

Compliant days; Mean ± SD

6.7 ± 0.6

6.0 ± 1.4

6.3 ± 1.1

6.4 ± 1.0

6.4 ± 1.0

6.5 ± 0.9

Compliant days misidentified

 

171 (13%)

96 (7%)

77 (6%)

68 (5%)

62 (5%)

as noncompliant

      

Noncompliant days misidentified

 

13 (20%)

16 (25%)

17 (27%)

19 (30%)

21 (33%)

as compliant

      

Sensitivity (Compliant days correctly

 

87.2%

92.8%

94.2%

94.9%

95.4%

identified as compliant)

      

Specificity (Noncompliant days correctly

 

79.4%

74.6%

73.0%

69.8%

66.7%

identified as noncompliant)

      

Nonwear bouts/Week; Mean ± SD

8.5 ± 1.4

14.3 ± 5.6

10.3 ± 2.7

8.9 ± 1.5

8.4 ± 1.1

8.2 ± 0.8

  1. Abbreviations: min minute, SD standard deviation, PA physical activity, MVPA moderate to vigorous intensity physical activity.
  2. aThe algorithms define nonwear periods as continuous non-movement (i.e., 0 cpm) of the specified duration.
  3. bCompliant day is defined as the participant wearing the accelerometer for ≥10 hours/day.