A structural equation model of the relationship between muscle strength, balance performance, walking endurance and community integration in stroke survivors

PLoS One. 2017 Oct 19;12(10):e0185807. doi: 10.1371/journal.pone.0185807. eCollection 2017.

Abstract

Purpose: To use structural equation modelling (SEM) to determine (1) the direct and indirect associations of strength of paretic lower limb muscles with the level of community integration, and (2) the direct association of walking endurance and balance performance with the level of community integration in community-dwelling stroke survivors.

Materials and methods: In this cross-sectional study of 105 stroke survivors, the Subjective Index of Physical and Social Outcome (SIPSO) was used to measure the level of community integration. Lower-limb strength measures included isometric paretic ankle strength and isokinetic paretic knee peak torque. The Berg Balance Scale (BBS) and the 6-minute walk test (6MWT) were used to evaluate balance performance and walking endurance, respectively.

Results: SEM revealed that the distance walked on the 6MWT had the strongest direct association with the SIPSO score (β = 0.41, p <0.001). An increase of one standard deviation in the 6MWT distance resulted in an increase of 0.41 standard deviations in the SIPSO score. Moreover, dorsiflexion strength (β = 0.18, p = 0.044) and the BBS score (β = 0.21, p = 0.021) had direct associations with the SIPSO score.

Conclusions: The results of the proposed model suggest that rehabilitation training of community-dwelling stroke survivors could focus on walking endurance, balance performance and dorsiflexor muscle strengthening if the aim is to augment the level of community integration.

MeSH terms

  • Aged
  • Disability Evaluation
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Statistical*
  • Muscle Strength / physiology*
  • Postural Balance / physiology*
  • Stroke / physiopathology*
  • Stroke Rehabilitation
  • Survivors

Grants and funding

This study was supported by Central Research Grant of The Hong Kong Polytechnic Univeristy (G-YBPF) to Dr. Shamay Ng and her team.