Skip to main content Skip to main navigation menu Skip to site footer

Risk factors correlated with stroke in the population aged over 15 years in semarang: a retrospective study

  • Aisyah Lahdji ,
  • Dwi Pudjonarko ,
  • Zahroh Shaluhiyah ,

Abstract

Background: Stroke is the primary cause of mortality. Based on data from the World Stroke Organisation (WSO) for 2022, there would be an estimated 12.23 million cases of stroke, with 50% resulting in death. This study aimed to identify the factors that may influence the occurrence of stroke in the population aged ≥15 years in Semarang.

Methods: The study utilized secondary data obtained from hospitals in Semarang. The secondary data comprised medical information obtained from stroke patients. The study employed a retrospective and cross-sectional technique. The study employed frequency distribution analysis and chi-square for data analysis.

Results: 51.1% of stroke patients were female, categorized by sex. 67.7% of stroke patients were aged 55 and above, constituting the majority. Moreover, the predominant risk factor encountered by patients is coronary heart disease, constituting 53.7%. The duration of hospital admissions for stroke patients varied from 1 to 7 days, with the majority (74.7%) falling within this range. The Indonesian National Health Insurance (BPJS Kesehatan) emerged as the predominant source of health financing, accounting for 97% of cases. The duration of the stay is correlated with risk factors, including gender.

Conclusions: According to the study's objectives, all variables that were investigated showed a statistically significant association with the occurrence of stroke. Stroke patients with coronary heart disease have the most prominent risk factors, followed by diabetes mellitus, renal failure, and hypertension. Moreover, a significant correlation was observed between gender and the risk variables experienced by those who had suffered from strokes. Moreover, the risk variables encountered by individuals who have suffered a stroke have a substantial influence on the duration of their hospitalization.

References

  1. Manderson L, Jewett S. Risk, lifestyle and non-communicable diseases of poverty. Global Health. 2023;19(1):13. doi. 10.1186/s12992-023-00914-z.
  2. NCD Countdown 2030 collaborators. NCD Countdown 2030: worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4. Lancet. 2018;392(10152):1072-1088. doi: 10.1016/S0140-6736(18)31992-5.
  3. WHO. World Health Organization. Noncommunicable Disease. 2023:1–3.
  4. CDC. Centers for Disease Control and Prevention. Stroke’s Risks Factor. 2017.
  5. ASA. American Stroke Association. Stroke Risk Factor. 2018.
  6. WSO. World Stroke Organization (WSO): Global Stroke Fact Sheet 2022. 2022.
  7. Kemenkes RI. Riset Kesehatan Dasar Tahun 2018. Jakarta. 2018.
  8. Dinas Kesehatan Kota Semarang. Profil Kesehatan Kota Semarang. Kota Semarang; 2019.
  9. Habibi-koolaee M, Shahmoradi L, Niakan Kalhori SR, Ghannadan H, Younesi E. Prevalence of Stroke Risk Factors and Their Distribution Based on Stroke Subtypes in Gorgan: A Retrospective Hospital-Based Study—2015-2016. Neurol Res Int. 2018;2018:1–7.
  10. Handschu R, Reitmayer M, Raschick M, Erbguth F, Neundörfer B, Babjar E. First aid in acute stroke: introducing a concept of first action to laypersons. J Neurol. 2006 Oct;253(10):1342-6. doi: 10.1007/s00415-006-0219-7.
  11. Azzahra V, Ronoatmodjo S. Faktor-Faktor yang Berhubungan dengan Kejadian Stroke pada Penduduk Usia >15 Tahun di Provinsi Daerah Istimewa Yogyakarta (Analisis Riskesdas 2018) Factors Associated with Stroke in Population Aged >15 Years in Special Region of Yogyakarta (Analysis of Basic Health Research 2018). Jurnal Epidemiologi Kesehatan Indonesia. 2022;6(2):91–6.
  12. Qolbi SN. Faktor-Faktor Yang Berhubungan Dengan Kejadian Stroke Yang Terdiagnosis Dokter Pada Penduduk Usia ≥ 15 Tahun Di Provinsi Jawa Timur (Analisis Data Riskesdas 2018).[Depok: Universitas Indonesia. 2021.
  13. ASA. American Stroke Association. About Stroke. 2023:1–3.
  14. Yousufuddin M, Young N. Aging and ischemic stroke. Aging (Albany NY). 2019 May 1;11(9):2542-2544. doi: 10.18632/aging.101931.
  15. Arboix A. Cardiovascular risk factors for acute stroke: Risk profiles in the different subtypes of ischemic stroke. World J Clin Cases. 2015;3(5):418.
  16. Modini J, Lynar T, Sitnikova E, Joiner K. The Application of Epidemiology for Categorising DNS Cyber Risk Factors. Journal of Computer and Communications. 2020;08(12):12–28. DOI: 10.4236/jcc.2020.812002.
  17. Li F, Yang L, Yang R, Xu W, Chen FP, Li N, Zhang JB. Ischemic Stroke in Young Adults of Northern China: Characteristics and Risk Factors for Recurrence. Eur Neurol. 2017;77(3-4):115-122. doi: 10.1159/000455093.
  18. Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, et al. Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension. 2018;71(6):1269–324.
  19. Hamm T, Overton A, Thomas K, Sednew R. Abstract 246: Length of Stay and Its Association With Get With the Guidelines-stroke Award Recognition. Circ Cardiovasc Qual Outcomes. 2017;10(3).
  20. Lin KH, Lin HJ, Yeh PS. Determinants of Prolonged Length of Hospital Stay in Patients with Severe Acute Ischemic Stroke. J Clin Med. 2022;11(12):3457. doi: 10.3390/jcm11123457.
  21. Venketasubramanian N, Yudiarto FL, Tugasworo D. Stroke Burden and Stroke Services in Indonesia. Cerebrovasc Dis Extra. 2022;12(1):53–7.
  22. Ismail A, Reffien MAM, Ibrahim NM, Sobri HNM, Abidin NDIZ, Rusli SASS, Selamat EM. Factors Associated With Length of Stay for Patients With Stroke in Malaysia. Glob J Qual Saf Healthc. 2020;3(4):134-138. doi: 10.36401/JQSH-20-10.
  23. Qureshi AI, Adil MM, Zacharatos H, Suri MFK. Factors Associated With Length of Hospitalization in Patients Admitted With Transient Ischemic Attack in United States. Stroke. 2013;44(6):1601–5.
  24. Abdu H, Seyoum G. Sex Differences in Stroke Risk Factors, Clinical Profiles, and In-Hospital Outcomes Among Stroke Patients Admitted to the Medical Ward of Dessie Comprehensive Specialized Hospital, Northeast Ethiopia. Degener Neurol Neuromuscul Dis. 2022;12:133-144. doi: 10.2147/DNND.S383564.
  25. Mosenzon O, Cheng AY, Rabinstein AA, Sacco S. Diabetes and Stroke: What Are the Connections? J Stroke. 2023;25(1):26-38. doi: 10.5853/jos.2022.02306.

How to Cite

Lahdji, A., Pudjonarko, D. ., & Shaluhiyah, Z. . (2024). Risk factors correlated with stroke in the population aged over 15 years in semarang: a retrospective study. Bali Medical Journal, 13(2), 529–533. https://doi.org/10.15562/bmj.v13i2.5241

HTML
1

Total
1

Share

Search Panel