Table 1.

Methodological characteristics of the articles reviewed.

Characteristic	Brett et al. (2018) [31]	Cheng et al. (2019) [38]	Crossley et al. (2018) [39]
Objective	To provide normative data on static balance using the Sway Balance System method.	To explore the effectiveness of neuromuscular training in improving static balance.	To investigate the speed and angle of turn during gait.
Study design	Descriptive cross-sectional.	Randomized clinical trial.	Descriptive cross-sectional.
Population	Children and young adults with TD.	DCD children and TD children as a control group.	TD children.
Sample size	3763 (1216 women: 32%).	88 (44 control group) (44 girls: 50%).	19 (9 girls: 47%).
Age (mean ± standard deviation)	16.3 ± 2.6 years (range: 9–21).	7.6 ± 1.2 years (range: 6–9).	10.1 ± 0.5 years (range: 9–12).
Motor tests included	Balance Error Score System Reaction time.	Computerized dynamic posturography.	Three minutes walking at four different speeds and turning at 4 different angles (0º, 45º, 90º, and 180º).
Accelerometer used	Triaxial accelerometer iOS (iPad, iPhone and iPod Touch, Apple Inc., Cupertino, CA, USA).	Triaxial accelerometer (Biometrics, Newport, UK).	Triaxial accelerometer (SLAM Tracker, Wildbyte Technologies Ltd., Swansea, UK).
Frequency of data collection	Not specified.	Not specified.	100 Hz.
Sensor placement	Hand	Sensors of computerized dynamic posturography.	2 accelerometers: right iliac crest and in the center of the lumbar area.
Variables analyzed	Magnitude of accelerations. Reaction time (after hearing a sound, the time it took to bring the device to their chest).	Magnitude of accelerations. Latency time (time between the first detected acceleration and the time of muscle activation of the leg by EMG)	Dynamic vector acceleration of the body.
Comparison with gold standard or others	Balance Error Score System	No.	No.

DCD: developmental coordination disorder; EMG: electromyography; TD: typical development.