Table 5.

Methodological characteristics of the articles reviewed.

Characteristic	Saether et al. (2015) [36]	Shiratori et al. (2016) [42]	Speedtsberg et al. (2018) [33]
Objective	To evaluate the trunk control relationship between seated and during gait	To assess anticipatory postural adjustments in static equilibrium when supporting a load with the hands.	To investigate trunk stability during treadmill walking.
Study design	Descriptive cross-sectional.	Descriptive cross-sectional.	Descriptive cross-sectional.
Population	Children with CP spastic.	Spastic CP with diplegia or hemiplegia and TD children.	Children with DCD and TD.
Sample size	26 (9 girls: 34.6%)	27 (9 control) (19 girls: 70%).	18 (10 control) (5 girls: 28%).
Age (mean ± standard deviation)	13.5 ± 3 years (range: 8–18)	11.8 ± 1.8 years (range: 7–17).	9 ± 1.5 years (range: not specified).
Motor tests included	5 m walking test.	Stand and support a falling load with their hands.	4 min walking on a treadmill at normal speed.
Accelerometer used	Triaxial accelerometer MTx (XSens, Enschede, The Netherlands).	Uniaxial accelerometer (PCB Piezotronics, Depew, NY, USA).	Triaxial accelerometer MQ16 (Marq Medical, Farum, Denmark).
Frequency of data collection	100 Hz.	1000 Hz and 2nd-order low pass Butterworth filter (20 Hz) with zero phase shift.	256 Hz.
Sensor placement	L3.	In dominant hand.	Sternum.
Variables analyzed	Mean, regularity and root mean square of three axes accelerations. Number and duration of steps.	Peak acceleration.	Short term local dynamic stability (λs), root mean square and relative root mean square.
Comparison with gold standard or others	Trunk Impairment Scale and Trunk Control Measurement Scale.	Force platform (OR-6, AMTI, Watertown, MA, USA) with Labview software (National Instruments, Austin, TX, USA).	No.

CP: cerebral palsy; DCD: developmental coordination disorder; TD: typical development.