Related Experiment Video
Updated: Feb 13, 2026

Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
Published on: June 12, 2019
Effect on Passive Range of Motion and Functional Correlates After a Long-Term Lower Limb Self-Stretch Program in
Maud Pradines1, Marjolaine Baude2, Christina Marciniak3
1EA 7377 BIOTN, Laboratoire Analyse et Restauration du Mouvement, Université Paris Est Créteil (UPEC), Créteil, Cedex; and AP-HP, Service de Rééducation Neurolocomotrice, Hôpitaux Universitaires Henri Mondor 51 Avenue du Maréchal de Lattre de Tassigny, 94000 Créteil, France.
Background:
In current health care systems, long-duration stretching, performed daily, cannot be obtained through prescriptions of physical therapy. In addition, the short-term efficacy of the various stretching techniques is disputed, and their long-term effects remain undocumented.
Objective:
To evaluate changes in extensibility in 6 lower limb muscles and in ambulation speed after a ≥1-year self-stretch program, the Guided Self-rehabilitation Contract (GSC), in individuals with chronic spastic paresis.
Design:
Retrospective study.
Setting:
Neurorehabilitation clinic.
Participants:
Patients diagnosed with hemiparesis or paraparesis at least 1 year before the initiation of a GSC and who were then involved in the GSC program for at least 1 year.
Interventions:
For each patient, specific muscles were identified for intervention among the following: gluteus maximus, hamstrings, vastus, rectus femoris, soleus, and gastrocnemius. Prescriptions and training for a daily, high-load, prolonged, home self-stretching program were primarily based on the baseline coefficient of shortening, defined as CSH = [(XN -XV1)/XN] (XV1 = PROM, passive range of motion; XN = normally expected amplitude).
Main Outcome Measurements:
Six assessments were performed per year, measuring the Tardieu XV1 or maximal slow stretch range of motion angle (PROM), CSH, 10-m ambulation speed, and its functional ambulation category (Perry's classification: household, limited, or full). Changes from baseline in self-stretched and nonself-stretched muscles were compared, with meaningful XV1 change defined as ΔXV1 >5° for plantar flexors and >10° for proximal muscles. Correlation between the composite XV1 (mean PROM for the 6 muscles) and ambulation speed also was evaluated.
Results:
Twenty-seven GSC participants were identified (14 women, mean age 44 years, range 29-59): 18 with hemiparesis and 9 with paraparesis. After 1 year, 47% of self-stretched muscles showed meaningful change in PROM (ΔXV1) versus 14% in nonself-stretched muscles (P < .0001, χ2). ΔCSH was -31% (95% confidence interval [95% CI] -41.5 to -15.2) in self-stretched versus -7% (95% CI -11.9 to -2.1) in nonself-stretched muscles (P < .0001, t-test). Ambulation speed increased by 41% (P < .0001) from 0.81 m/s (95% CI 0.67-0.95) to 1.15 m/s (95% CI 1.01-1.29). Eight of the 12 patients (67%) who were in limited or household categories at baseline moved to a higher functional ambulation category. There was a trend for a correlation between composite XV1 and ambulation speed (r = 0.44, P = .09) in hemiparetic patients.
Conclusion:
Therapists should consider prescribing and monitoring a long-term lower limb self-stretch program using GSC, as this may increase muscle extensibility in adult-onset chronic paresis.
Level Of Evidence:
III.
More Related Videos
Related Concept Videos
Correlations
Correlation and Causation
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Range
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
Passive Filters
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
Long-term Depression
Correlation
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:

