Skip to main content
. Author manuscript; available in PMC: 2018 Nov 12.
Published in final edited form as: Sports Med. 2017 Sep;47(9):1821–1845. doi: 10.1007/s40279-017-0716-0

Table 1.

Summary of practical considerations by age group

Age group/criterion Preschoolers Children and adolescents Adults Older adults
Placement Hipa and wrist Hipa and wrist Hipa and wrist Hipa and wrist
Sampling frequency 90–100 Hz 90–100 Hz 90–100 Hz 90–100 Hz
Filterb Normal Normal Normal Low-frequency extension
Epoch lengthb 1–15 s 1–15 s 60 sc 60 sc
Non-wear-time definition Not clearc Not clearc Not clearc Choi et al. [45] algorithm
Valid dayd ≥10 h ≥10 h ≥10 h ≥10 h
Valid week ≥4 days ≥4 days ≥4 days ≥4 days
Registration period protocol 24 h 24 h 24 h 24 h
SED/PA intensity classificatione,f
Dominant wrist No data found Crouter et al. [37] Staudenmayer et al. [24] No data found
Non-dominant wrist Johansson et al. [34] (2–3 y) Hildebrand et al. [22]
Chandler et al. [15]
Hildebrand et al. [22] No data found
Hip Costa et al. [35] (2–3 y)
Jimmy et al. [57] (4–6 y)
Hänggi et al. [13] (7–11 years)
Romanzini et al. [38] (12–19 years)
Sasaki et al. [7] Aguilar–Farias et al. [26]
Santos–Lozano et al. [27]
PAEE algorithme
Non-dominant wrist No data found Hildebrand et al. [22] Ellis et al. [42] No data found
Hip Butte et al. [71] (2–3 years) Crouter et al. [20] (7–11 years) Hildebrand et al. [22] Santos–Lozano et al. [27]
Sleep algorithme No data found Sadeh et al. [16] Sadeh et al. [16] (20–30 years)
Cole et al. [17] (>30 years)
Cole et al. [17]

Hz hertz, SED sedentary time, PA physical activity, PAEE physical activity energy expenditure

Note These recommendations should be considered with caution. We strongly recommend reading Sect. 4 for an understanding of the specific considerations for each age group

a

There are no algorithms currently available to estimate sleep-related behaviors from data obtained from hip-worn devices

b

Criterion that could highly affect the output. In these cases, when estimations of PA, PAEE or sleep are the variables of interest, the same criterion as selected in the validation study is recommended. If acceleration metrics are the variables of interest (e.g., counts), the recommendation is provided in this table

c

There is a need to thoroughly test this criterion

d

Number of hours per awake period in a day

e

Citation of the study in which the cutpoints or algorithms were validated

f

Cutpoints are specified in Table 5