Original Research Article
Year: 2019 | Month: August | Volume: 9 | Issue: 8 | Pages: 163-169
Association of Severity, Voluntary Control, Cognition, Balance and Gait Parameters to the Functional Independence and Quality of Life in Stroke
Zarna Ronak Shah1, Shraddha Jasmin Diwan2
1Junior Lecturer, 2Lecturer,
SBB College of Physiotherapy, V.S.General Hospital, Ahmedabad.
Corresponding Author: Zarna Ronak Shah
ABSTRACT
Introduction: Multiple risk factors including age, gender, dependency in Activities of Daily Living (ADL)/disability, social support, depression have been associated with poorer Health Related QOL (HRQOL) in stroke survivors. Critical review of literature reflects limited Indian studies exploring different factors on stroke recovery. It is of a much need to associate factors predicting stroke recovery so that it becomes easy for the healthcare professionals to predict the recovery.
Aim: To find out association between severity, voluntary control, cognition, balance and gait to the functional independence and QOL in stroke patients.
Methodology: It is a cross sectional exploratory study where 60 stroke patients were included of all gender, type and duration. Along with the basic demographic data subjects were also assessed for severity of stroke (National Institute of Health Stroke Scale (NIHSS)), cognition (Mini Mental State Examination (MMSE)), voluntary control (Stroke Rehabilitation Assessment of Movement (STREAM)), balance (Berg Balance Scale (BBS)), gait (10Meter Walk Test (10MWT)), functional independence measure (FIM) and QOL (Stroke Impact Scale (SIS)).
Statistics: NIHSS, STREAM, MMSE, BBS and 10MWT were correlated with FIM and SIS with non parametric spearman test keeping p < 0.001.
Results: Severity of stroke was negatively correlated with FIM and SIS. Voluntary control, cognition, balance and gait parameters are significantly positively correlated with FIM and SIS scores.
Conclusion: Severity of stroke, cognition, voluntary control, balance and gait are significantly associated with the functional independence and quality of life in stroke patients. One can predict the stroke recovery using these assessment scales.
Key words: Stroke, Association, Quality of life, Functional Independence.