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All Journal Magna Neurologica
Muvida
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Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Public Health

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The Features of Comorbidity of Stroke in The Indonesian Population: Findings from The Indonesian Family Life Survey (IFLS-5) Muvida; Amar, Filzah
Magna Neurologica Vol. 2 No. 2 (2024): July
Publisher : Department of Neurology Faculty of Medicine Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/magnaneurologica.v2i2.948

Abstract

Background: Comorbidities are associated with a worse stroke prognosis and more challenging clinical management. However, population-based research related to stroke comorbidities in Indonesia is still limited. Objective: This study aims to evaluate the features of important comorbidities among stroke patients in the Indonesian population. Methods: The data was taken from the 2014–2015 Indonesian Family Life Survey (IFLS-5), which represents 83% of the Indonesian population. Data were analyzed by means of logistic regression models using statistical software for data science (STATA) 13. Results: There was a statistically significant relationship between stroke history and several comorbidities risk factors. The risk of stroke increases in individuals with hypertension (odds ratio (OR): 7.97, 95% confidence interval (CI): 5.19-12.26), diabetes (OR: 1.90, 95% CI: 1.14-3.15), heart disease (OR: 2.67, 95% CI: 1.47-4.85), and hyperlipidemia (OR: 3.68, 95% CI: 2.40-5.64). Of the 309 stroke patients, 41.9% had one comorbid condition; 24.1% had two; and 10.5% had three. Comorbidities increase with age, and 80.50% of stroke patients with comorbidities are aged 50 years or more. Conclusion: This study showed that the most common comorbidities in stroke patients in Indonesia are hypertension, hyperlipidemia, and diabetes.
Virtual Reality-Based Rehabilitation’s Impact on Movement and Quality of Life in Parkinson’s: An Updated Systematic Review of Randomized Controlled Trials Muvida; Mustikasari, Hanif; Belawati, Yeny Ristaning; Amatillah, Hana
Magna Neurologica Vol. 3 No. 1 (2025): January
Publisher : Department of Neurology Faculty of Medicine Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/magnaneurologica.v3i1.1720

Abstract

Background: Parkinson’s disease is a neurodegenerative disorder that can significantly impact an individual’s mobility, balance, and overall quality of life. It is characterized by movement disorders, including tremors, rigidity, bradykinesia, and gait disorder. In addition to pharmacological therapy, rehabilitation approaches play an important role in the management of occurring movement disorders. One of the potential rehabilitation methods is virtual reality (VR). Objective: This systematic review aims to determine the impact of VR-based rehabilitation on balance, mobility, motor function, and the quality of life of Parkinson's patients. Methods: Systematic research was conducted in February 2024 using PubMed, Scopus, and ScienceDirect. A combination of MeSH terms “virtual reality,” “Parkinson,” “exergame,” “effectivity,” and “rehabilitation” was used. The articles selected were randomized controlled trials published in the last ten years in English. The quality of articles was assessed using the Cochrane risk-of-bias tool. Analyses were stratified by outcomes: balance, mobility, motor function, and quality of life. Results: Fourteen randomized controlled trials with 637 patients were included. Most trials show that VR-based rehabilitation significantly improves balance compared to conventional rehabilitation. Mobility and motor function improve in the VR group, but its superiority remains controversial. Improved quality of life is observed, but no trials show statistical significance compared to conventional rehabilitation. Conclusion: This systematic review shows that VR-based rehabilitation has the potential to improve balance, mobility, motor function, and quality of life in Parkinson's patients.
Co-Authors Amar, Filzah Hana Amatillah Hanif Mustikasari Yeny Ristaning Belawati