Evaluation of Predictive Factors Influencing Community Reintegration in Adult Patients with Stroke
| Autor: | Kayode Israel Oke, Olajide Ayinla Olawale, Oladunni Caroline Osundiya, Jibrin Sammani Usman |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
medicine.medical_specialty
medicine.medical_treatment mobility stroke STRIDE gait lcsh:RC321-571 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Physical medicine and rehabilitation community reintegration medicine lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry Stroke Balance (ability) Rehabilitation Adult patients business.industry General Neuroscience balance Regression analysis Rivermead post-concussion symptoms questionnaire medicine.disease stroke Gait mobility Original Article Neurology (clinical) business 030217 neurology & neurosurgery |
| Zdroj: | Journal of Neurosciences in Rural Practice, Vol 09, Iss 01, Pp 006-010 (2018) Journal of Neurosciences in Rural Practice |
| ISSN: | 0976-3155 0976-3147 |
| DOI: | 10.4103/jnrp.jnrp_386_17 |
| Popis: | Objectives: Patients with stroke are faced with gait, balance, and fall difficulties which could impact on their community reintegration. In Nigeria, community reintegration after stroke has been understudied. The objective of this study was to evaluate the predictors of community reintegration in adult patients with stroke. Materials and Methods: Participants were 91 adult patients with stroke. Gait variables, balance self-efficacy, community balance/mobility, and fall self-efficacy were assessed using Rivermead Mobility Index, Activities-specific Balance Confidence Scale, Community Balance and Mobility Scale, and Falls Efficacy Scale-International respectively. Reintegration to Normal Living Index was used to assess satisfaction with community reintegration. Pearson Product-Moment Correlation Coefficient was used to determine the relationship between community reintegration and gait spatiotemporal variables, balance performance, and risk of fall. Multiple regression analysis was used to determine predictors of community reintegration (P ≤ 0.05). Results: There was significant positive relationship between community reintegration and cadence (r = 0.250, P = 0.017), functional mobility (r = 0.503, P = 0.001), balance self-efficacy (r = 0.608, P = 0.001), community balance/mobility (r = 0.586, P = 0.001), and duration of stroke (r = 0.220, P = 0.036). Stride time (r = −0.282, P = 0.073) and fall self-efficacy (r = 0.566, P = 0.001) were negatively correlated with community reintegration. Duration of stroke, balance self-efficacy, community balance/mobility, and fall self-efficacy (52.7% of the variance) were the significant predictors of community reintegration. Conclusion: Community reintegration is influenced by cadence, functional mobility, balance self-efficacy, community balance/mobility, and duration of stroke. Hence, improving balance and mobility during rehabilitation is important in enhancing community reintegration in patients with stroke. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|