Ecological Analysis of Stroke in Indonesia in 2018

Authors

  • Izza Dinalhaque Pranatasari
  • Agung Dwi Laksono

DOI:

https://doi.org/10.37506/ijfmt.v15i3.15800

Keywords:

ecological analysis, degenerative disease, health behavior, stroke, secondary data

Abstract

Stroke is one of the significant causes of disability and death worldwide and is classified as a catastrophic
disease in Indonesia. The study aims to analyze ecologically the factors related to theprevalence of stroke
in Indonesia. The authors conduct a research using secondary data from the 2018 Indonesia Basic Health
Survey that used all the provinces as samples. Apart from theprevalence of stroke, four other variables
analyzed as independent variables were diabetes mellitus, theprevalence of hypertension, theprevalence of
obesity, and the percentage of the population with alcohol consumptionin the past month. Data were analyzed
using a scatter plot.The study results found thatthe higher the prevalence of diabetes mellitus, hypertension,
and obesity in a province, the higher the prevalence of stroke. However, the higher the population percentage
with alcohol consumption, the lower the prevalence of stroke in that province. The three variables, which
are the prevalence of diabetes mellitus, hypertension, and obesity, were positively related to the prevalence
of stroke in Indonesia. The population percentage with alcohol consumption was negatively associated with
the majorityof stroke in Indonesia.

Author Biographies

Izza Dinalhaque Pranatasari

Magister Student, Faculty of Public Health, Universitas Airlangga,Surabaya, Indonesia

Agung Dwi Laksono

Researcher, National
Institute of Health Research and Development, the Ministry of Health of The Republic of Indonesia, Jakarta,
Indonesia

Published

2021-05-17

How to Cite

Izza Dinalhaque Pranatasari, & Agung Dwi Laksono. (2021). Ecological Analysis of Stroke in Indonesia in 2018. Indian Journal of Forensic Medicine & Toxicology, 15(3), 3218-3224. https://doi.org/10.37506/ijfmt.v15i3.15800

Most read articles by the same author(s)