Magna Neurologica
Vol. 2 No. 2 (2024): July

The Features of Comorbidity of Stroke in The Indonesian Population: Findings from The Indonesian Family Life Survey (IFLS-5)

Muvida (Unknown)
Amar, Filzah (Unknown)



Article Info

Publish Date
01 Jul 2024

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.

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Journal Info

Abbrev

magna-neurologica

Publisher

Subject

Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Public Health

Description

Magna Neurologica is a peer-reviewed and open access journal that focuses on promoting neurological sciences generated from basic neurosciences and clinical neurology. This journal publishes original articles, reviews, and also interesting case reports. Brief communications containing short features ...