The influence of muscle strength on the gait profile score (GPS) across different patients

Schweizer, Katrin; Romkes, Jacqueline; Coslovsky, Michael; Brunner, Reinald (2014). The influence of muscle strength on the gait profile score (GPS) across different patients. GAIT & POSTURE, 39(1), pp. 80-85. Elsevier 10.1016/j.gaitpost.2013.06.001

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BACKGROUND

Muscle strength greatly influences gait kinematics. The question was whether this association is similar in different diseases.

METHODS

Data from instrumented gait analysis of 716 patients were retrospectively assessed. The effect of muscle strength on gait deviations, namely the gait profile score (GPS) was evaluated by means of generalised least square models. This was executed for seven different patient groups. The groups were formed according to the type of disease: orthopaedic/neurologic, uni-/bilateral affection, and flaccid/spastic muscles.

RESULTS

Muscle strength had a negative effect on GPS values, which did not significantly differ amongst the different patient groups. However, an offset of the GPS regression line was found, which was mostly dependent on the basic disease. Surprisingly, spastic patients, who have reduced strength and additionally spasticity in clinical examination, and flaccid neurologic patients showed the same offset. Patients with additional lack of trunk control (Tetraplegia) showed the largest offset.

CONCLUSION

Gait kinematics grossly depend on muscle strength. This was seen in patients with very different pathologies. Nevertheless, optimal correction of biomechanics and muscle strength may still not lead to a normal gait, especially in that of neurologic patients. The basic disease itself has an additional effect on gait deviations expressed as a GPS-offset of the linear regression line.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM)
04 Faculty of Medicine > Pre-clinic Human Medicine > Department of Clinical Research (DCR)

UniBE Contributor:

Coslovsky, Michael

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

0966-6362

Publisher:

Elsevier

Language:

English

Submitter:

Doris Kopp Heim

Date Deposited:

23 Jan 2014 14:21

Last Modified:

20 Feb 2024 14:17

Publisher DOI:

10.1016/j.gaitpost.2013.06.001

PubMed ID:

23810568

Uncontrolled Keywords:

Gait kinematics, Gait profile score (GPS), Muscle strength, Spasticity

BORIS DOI:

10.7892/boris.40005

URI:

https://boris.unibe.ch/id/eprint/40005

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