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Introduction Stroke causes sensory and motor impairments, including balance and
walking problems and is emerging as a primary cause of long-term disability, Balance
and walking speed are essential for post-stroke rehabilitation and independence. This
research examines demographic and clinical parameters affecting stroke survivors'
walking speed and static balance to provide tailored rehabilitation techniques to
improve mobility and function. Aim To examine the demographic and clinical factors
of stroke survivors that may influence the outcome of walking speed and static balance.
Methodology A cross-sectional descriptive research was performed at the Centre for
the Rehabilitation of the Paralysed (CRP) in Savar, Dhaka, including stroke survivors
from the Neurology Unit. Convenience sampling was used to select 185 individuals
according to the inclusion criteria. Data was gathered with a self-designed, closed
ended questionnaire. The 10-Meter Walk Test was used to test walking speed, while the
Berg Balance Scale was employed to evaluate balance. The data collecting took place
from April to September 2024. Result The study found significant associations between
various clinical and lifestyle factors and both balance and walking speed in stroke
survivors. BMI (p=0.009), sleep duration (p=0.004), alcohol consumption (p=0.047),
and the use of external devices (p=0.002) were significantly associated with an
increased risk of falls. Additionally, renal disease (p=0.035), cardiovascular conditions
(p=0.002), sedative and antidepressant use (p=0.001), spatial neglect (p=0.047),
shoulder subluxation (p=0.002) and previous history of falling (p=0.001) were linked
to balance impairments. BMI (p=0.001), sleep duration (p=0.001), physical activity
(p=0.001), smoking (p=0.013), non-smoking tobacco use (p=0.001), alcohol
consumption (p=0.001), and the use of external devices (p=0.001) were all associated
with walking speed. Furthermore, stroke duration (p=0.035), hypertension (p=0.001),
and certain medications (e.g., antihypertensives, sedatives, anticoagulants) (p=0.001)
were significant predictors of reduced walking speed. Conclusion The study
demonstrates that factors such as BMI, sleep duration, alcohol use, and the use of
assistive devices significantly influence both balance and walking speed in stroke
survivors.
Keywords: Stroke, Balance, Walking Speed, Physiotherapy
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