Tag: N. Shazia Neelam

Effectiveness of moderate to vigorous physical activity among stroke risk predicted population. A pilot study

N. Shazia Neelam, H.Manjunatha, P. Senthil, Saina Swathi,P. Antony Leo Aseer, K.C. Gayathri

N. Shazia Neelam, H.Manjunatha, P. Senthil, Saina Swathi,P. Antony Leo Aseer, K.C. Gayathri – Effectiveness of moderate to vigorous physical activity among stroke risk predicted population. A pilot study –  Fizjoterapia Polska 2024; 24(1); 105-113

DOI: https://doi.org/10.56984/8ZG2EF80LR

Abstract
Background. The increasing prevalence of stroke, particularly among younger populations in countries like India, necessitates effective preventive strategies. Modifiable risk factors such as hypertension, diabetes, and smoking contribute significantly to stroke incidence. This study focuses on the implementation of a 12-week moderate to vigorous physical activity (MVPA) program to address these risk factors and reduce stroke incidence.
Methodology. The study involved a structured MVPA intervention among individuals at risk of stroke, emphasizing consistent adherence to the protocol. Key outcomes, including systolic blood pressure, fasting blood glucose, and total cholesterol levels, were monitored. Cardiovascular fitness improvements were assessed using the Cooper’s Run Test. The study also examined the feasibility and acceptability of the MVPA intervention through participant adherence rates.
Results. The MVPA group exhibited significant reductions in systolic blood pressure, fasting blood glucose, and total cholesterol levels compared to the control group. These findings underscore the efficacy of MVPA in managing major stroke risk factors. Additionally, participants demonstrated enhanced cardiovascular endurance, highlighting the program’s positive impact on overall cardiovascular health. High adherence rates in the MVPA group indicated the feasibility of implementing structured exercise protocols for individuals at risk of stroke.
Conclusion. This pilot study demonstrates the effectiveness of a 12-week MVPA program in reducing key stroke risk factors and improving cardiovascular fitness among individuals at risk of stroke. The findings emphasize the importance of structured exercise interventions in stroke prevention efforts. While promising, further research with larger sample sizes and longer durations is necessary to establish the sustained benefits and feasibility of such interventions. Implementing tailored MVPA programs holds significant potential for mitigating stroke risk, offering valuable insights for global stroke prevention strategies.
Keywords
stroke, MVPA, risk factors of stroke, physical activity
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Classification of Stroke Riskometer AppTM into low, moderate and high stroke risk range

N. Shazia Neelam, P. Senthil, S. Saina Swathi, S.Subramanian, A. Mohamed Nainar, L. Haribabu, E. Vijayabharathi


N. Shazia Neelam, P. Senthil, S. Saina Swathi, S.Subramanian, A. Mohamed Nainar, L. Haribabu, E. Vijayabharathi – Classification of Stroke Riskometer AppTM into low, moderate and high stroke risk range. Fizjoterapia Polska 2022; 22(4); 22-26

DOI: https://doi.org/10.56984/8ZG1A624g

Abstract
Background. Stroke is one of the leading of the causes of disability and according to the global burden of disease (GBD) study in 2010 it is the second leading cause of death worldwide. Developing countries reported 85% global burden of stroke enduring 80 percent of death due to hemorrhagic strokes. Stroke-related hospitalization rate in India is 46 per 100,000 persons. However Stroke Riskometer App can be used to significantly improve stroke and Non- Communicable disease prevention, since it operates on latest expansions in risk allocution/communication, International guidelines on stroke and Cardio-Vascular Disease prevention. However, the app does not classify the risk individuals into low, moderate and high categories which will not create any impact over the high risk individual, therefore it calls for the need to classify the tool into low, moderate and high risk ranges. Aim. To classify the Stroke Riskometer App into low, moderate and high stroke risk ranges among adult and elderly population. Methods. Participants were 250 samples selected from Chettinad Academy of Research and Education and S.A. Poly Clinic, Chennai, for over a_period of 6 months (April 2021-September 2021) and the Stroke Riskometer questionnaire along with Framingham Stroke Profile was filled, risk percentage from both the tools were recorded using the App for each individual. Results. Frequency analysis and Chi-square tests were performed, classifying the range into < 5% as low, 6-10% as moderate and > 10% as high risk in Stroke Riskometer tool. In Chi-square test it showed n = 104 as low risk, n = 11 as moderate risk,n = 14 as high risk in both FRS and Stroke Riskometer respectively. The chi-square value is 24.224 and the significant p value is < 0.0001showing that the value is performing well with FRS score. Conclusion. Though the App was classified into ranges it need to be continually developed and validated with larger sample size, heterogenous population and robust ethnic groups.

Keywords
stroke risk factors, stroke, stroke risk scores, ischemic stroke, non-communicable

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