Table 1.
Authors (Year) | Study Design | Sample Size, Mean Age (mo; SD), Range | Average Wear-Time min/day (SD), Non-Wear Criteria | Monitoring Time | Accelerometer Type & Epoch Length | Accelerometer Placement | Physical Activity counts/min (SD) | Study Quality |
---|---|---|---|---|---|---|---|---|
Canada (n = 1) | ||||||||
Borkhoff et al. (2015) [45] | Cross-sectional | N = 20 | 552 (54), ≥60 min of consecutive zeros | 12 h, 7 days | Actical, 2-s | Waist | 78.2 (30.8) | 10 |
Age = 8.2 (1.8), 4–10 | ||||||||
China (n = 1) | ||||||||
Jia et al. (2018) [49] | Cross-sectional | N = 143 | NR, NR | 14 h, 7 days | ActiGraph GT3X, 60-s | Wrist | 2580.5 (475.7) | 10 |
Age = 9 (0.8), 9 | ||||||||
Taiwan (n = 1) | ||||||||
Wang et al. (2019) [51] | Cross-sectional | N = 183 | NR, ‘Device removal’ time replaced with mean activity counts | 24 h, 7 days | Actiwatch 2, 30-s | Ankle | 432.3 (124.8) a | 10 |
Age = 6.6 (0.4), 6 | ||||||||
United States (n = 2) | ||||||||
Tsai et al. (2011) [40] | Cross-sectional | N = 22 | NR, ‘Device removal’ replaced with the adjacent activity counts, external motion time was removed from analysis | 16 h, 7 days | Actiwatch, 30-s | Ankle | 144.0 (66.0) a | 9 |
Age = 1.6 (0.6), 0.5–2.5 | ||||||||
Pitchford et al. (2017) [39] | Cross-sectional | N = 23 | 556.2 (157.2), ≥2 min of consecutive zeros matching accelerometer logged ‘device removal’ within a 30-min window | Daytime, 7 days | ActiGraph GT3X, 15-s | Ankle and Wrist | 1758.6 (609.6) a b | 9 |
Age = 6.3 (3.6), 1–12 |
NR not reported, mo months; aCalculation made to convert to counts/min; bMean of ankle and wrist counts produced