COMPARING SOCIO-ECONOMIC CONDITIONS OF MOTHER AND CHILDREN WITH LEPROSY IN ENDEMIC AND NON-ENDEMIC AREAS IN EAST JAVA, INDONESIA

• Main Authors: Flora Ramona Sigit Prakoeswa, -, Ghina Shabrina Awanis, -, Aini Azizah, -, Budi Prasetyo, -, Santi Martini, -, Hardyanto Soebono, -, Dominicus Husada, -, Hari Basuki Notobroto, -, Muhammad Yulianto Listiawan, -, Anang Endaryanto, -, Cita Rosita Sigit Prakoeswa, -
• Format: Article PeerReviewed
• Language: English; English; English
• Published: African Ethnomedicines Network 2021
• Subjects: R Medicine (General); RL Dermatology
• Online Access: https://repository.unair.ac.id/119569/1/Artikel.pdf; https://repository.unair.ac.id/119569/2/Karil.pdf; https://repository.unair.ac.id/119569/3/Similarity.pdf; https://repository.unair.ac.id/119569/; https://pubmed.ncbi.nlm.nih.gov/33889803/; https://doi.org/10.21010/ajid.v15i2.9
• Institution: Universitas Airlangga

Background: Leprosy is a disease that causes social, psychological, and economic issues. Failure to treat the causes of the immune system dysregulation in endemic areas of leprosy conditions makes the transmission of the bacteria easier. This paper aims to analyze the comparison of family income, occupation types of mothers and fathers, number of children, access to health facilities, and education of mothers, fathers, and children in mothers and children with leprosy in endemic and non-endemic areas. Materials and methods: A cross sectional study by survey was done in both an endemic and a non-endemic area of leprosy in Tuban Regency, East Java, Indonesia. Retrieval of research data was done using interview techniques. Respondents who participated in this study were 106 pairs of mother and child respondents who met the research restriction criteria. Subjects were divided into 5groups based on diagnosis of leprosy and area of living. Bivariate analysis was performed by comparing the independent variables in each group A, B, C, and D with group E. Results: It was found that the variables that differed significantly between the endemic and non-endemic areas were the variable number of children with a p-value=0.004, family income with a p-value=0.049 and the variable mother's education with a p-value=0.016. Meanwhile, other variables do not have significant difference. Conclusions: We found significant difference on the number of children, father's education, mother's education, and family income. These variables can be a risk factor for leprosy. To make efforts to prevent the transmission of leprosy, stakeholders should consider these factors.