Resume Reading 27062019

Arora et al. (2016): No evidence to support a ‘first night effect’ for wrist actigraphy in adolescent sample. The first night data should not be disregarded in future studies.

Boddy et al. (2019): Comparibility between wrist- and waist-worn accelerometer.

  • Agreement was examined using Croncach’s Alpha, interclass correlation coefficients (ICC), limits of agreement (LOA), Kappa values, percent agreement, mean absolute percent error (MAPE), and equivalency analysis.
  • wrist-based estimated of sedentary time generated using the 34 mg threshold are comparable with those derived from the accelerometer waist mounted 100 count/minute at the group level.

Chandler et al. (2018)

  • 167 children ages 5-11 years wear accelerometers on both wrists. The optimal cut-point threshold for the non-dominant wrist was 203 counts/5 s with sensitivity, specificity, and area under the curve (AUC) of 71.56, 70.83, and 0.72, respectively.
  • This study support the recommendation to place accelerometers on the non-dominant wrist to minimize “noise” during seated sedentary behaviors.

Dieu et al. (2016)

  • No significant differences in physical activity when comparing the dominant vs non-dominant wrist when wearing accelerometer, regardless of axis.
  • Mean daily accelerometer output data from both wrist were strongly correlated with average counts per minute from the ActiGraph worn around the waist (r= 0.88, P<0.001)

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