Analisis faktor yang berhubungan dengan penyakit hepatitis di Indonesia

Abstract

Abstract Background: The liver is a vital organ and the center of the body's metabolism. The liver receives all blood from the intestines through the portal vein and stores and converts nutrients from the portal vein. Hepatitis is an inflammation of the liver. The main cause of hepatitis is a viral infection caused by five types of hepatitis viruses, namely hepatitis A virus, hepatitis B, hepatitis C, hepatitis D, and hepatitis E. The first symptoms to watch out for are nausea, vomiting, diarrhea, abdominal pain, and mild fever. Purpose: To determine the factors associated with hepatitis disease in Indonesia. Method: This study uses secondary data from the 2017 Indonesian Demographic Health Survey (IDHS). The researcher has obtained permission to use the survey data from the Inner-City Fund (ICF) International as part of the IDHS program. The sampling method uses the cluster probability sampling technique and the data collection technique uses secondary data analysis (ADS), the number of samples used is 1,990 respondents. The dependent variable in this study is hepatitis disease, while the independent variables are age, gender, education level, place of residence, wealth index, and employment status. Results: Bivariate analysis showed that of the six variables tested, there were two variables that had a significant influence, namely the education variable with a Sig. value of 0.007 and the wealth index variable with a Sig. value of 0.012. In the multivariate analysis, there was only one variable that had a significant influence, namely gender with (exp(B) = 0.632; 95% CI = 0.422-0.944; Sig = 0.025). Conclusion: Based on the bivariate analysis, there were only two variables that dominated the incidence of hepatitis, namely education level and wealth index, while after multivariate analysis using multiple logistic regression analysis, there was one significant variable, namely gender. Suggestion: Further research is expected to be able to conduct research not only using DHS data, but can use other data, in order to minimize data limitations and can replace other research designs that are more effective in analyzing hepatitis risk factors. In addition, it can add cultural and religious factors and exposure to information. Keywords: Hepatitis Factor; Wealth Index; Gender; Education Level