Identifying Determinants of Child Malnutrition Using Spatial Regression Analysis

1st South Aceh International Conference on Engineering and Technology

工业技术（总论）

Zurnila, K.M.^1 ; Saiful, M.^1 ; Selvi, M.^1

Statistics Department, Faculty of Mathematics and Natural Science, Syiah Kuala University, Banda Aceh, Indonesia^1

关键词: Auto regressive models;    Environmental health;    malnutrition;    Sensitive indicator;    Spatial dependence;    Spatial regression model;    Sumatera Island;    Women of child-bearing ages;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/506/1/012051/pdf
DOI  :  10.1088/1757-899X/506/1/012051

学科分类：工业工程学

来源: IOP

【 摘 要 】

As a public health problem, the nutritional status of childrens under five years old is a sensitive indicator of a country's health status. Malnutrition affected by many factors, including spatial dependence factors. This factor indicates the value of observations from a region affected by the value of observations in other areas. It assumed that child health factor, maternal health, environmental health, and region influenced the prevalence of malnutrition among under-five children. The objective of the study was to determine factors that associated with malnutrition among under-five children in Sumatera Island and the spatial regression model for the case. The study used Basic Health Research (Riskesdas) and Public Health Development Index (IPKM) survey 2013 from 125 districts on Sumatera Island. . Spatial regression analysis and Spatial Autoregressive Model (SAR) applied in this study to obtain the significant determinants of child malnutrition. The results of this study revealed that the lack of chronic energy in women of childbearing age, the proportion of family planning users, households that having clean and healthy life behaviour (PHBS), and access to clean water were the significant factors of child malnutrition.