Infarction Stroke Risk Prediction Model for Indonesian Population: A Case-Control Study

Authors

  • Muhammad Isman Jusuf Faculty of Health and Sports, Gorontalo State University, Gorontalo
  • Mohammad Hasan Machfoed Faculty of Medicine, Airlangga University, Surabaya
  • Soedjadjadi Keman Faculty of Public Health, Airlangga University, Surabaya

DOI:

https://doi.org/10.3329/bjms.v15i2.29011

Keywords:

infarction stroke, prediction model, index, risk factors

Abstract

Background: Stroke is the main cause of death and disabilities in Indonesia and the world. Various prediction model for stroke have been developed. This study attempts to develop a model used to predict infarction stroke in Indonesia.

Objective: This study aims to develop a model to predict infarction stroke risks.

Method: This study is an observational research applying case-control research design. The number of samples used in this study were 310 individuals, consisting of 155 members of case group and 155 members of control groups. The writers used discriminant analysis to conduct statistical analysis on the data.

Results: Valid and reliable risk factors of stroke used to develop prediction model for infarction stroke in this study are systolic blood pressure, diastolic blood pressure, triglyceride levels, stroke history, hypertension history, dyslipidemia history, vegetable consumption, sleep duration, snoring, exercises, and emotional stresses.

Conclusion: This study comes up with a prediction model for infarction stroke risks. The prediction model is expressed by following formula: Infarction stroke risk = 0.929 x Systolic Blood Pressure + 0.886 Diastolic Blood Pressure + 0.160 x Triglyceride Levels + 0.850 x Hypertension History + 0.332 x Stroke History + 0.084 x Dyslipidemia History + 0.124 x Vegetable Consumption + 0.245 x Emotional Stresses + 0.346 x Snoring Habit 0.193 x Exercise Habit 0.190 x Sleep Duration

Bangladesh Journal of Medical Science Vol.15(2) 2016 p.269-274

Downloads

Download data is not yet available.
Abstract
97
PDF
71

Downloads

Published

2016-08-10

How to Cite

Jusuf, M. I., Machfoed, M. H., & Keman, S. (2016). Infarction Stroke Risk Prediction Model for Indonesian Population: A Case-Control Study. Bangladesh Journal of Medical Science, 15(2), 269–274. https://doi.org/10.3329/bjms.v15i2.29011

Issue

Vol. 15 No. 2 (2016)

Section

Original Articles

License

Authors who publish in the Bangladesh Journal of Medical Science agree to the following terms that:

  1. Authors retain copyright and grant Bangladesh Journal of Medical Science the right of first publication of the work.

  2. Creative Commons Licence
    Articles in Bangladesh Journal of Medical Science are licensed under a Creative Commons Attribution 4.0 International License CC BY-4.0.This license permits use, distribution and reproduction in any medium, provided the original work is properly cited.
  3. Authors are able to enter into separate, additional contractual arrangements for the distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  4. Authors are permitted to post their work online (e.g., in institutional repositories or on their website) as it can lead to productive exchanges, as well as greater citation of published work.